Total 51 Education / Training job vacancies in Bangalore - HO

CRF- REF49530F - Group Manager – Process Training – Bangalore

Vertical: - Banking & Financial Services

Role: - Team Manager 

Shift: - Rotational Shift 

Mode of work: - 5 days WFO

Experience range: - 10+ years of overall experience into AML/KYC or Risk & Compliance or FinTech (experience as a training manager preferred)

Seeking a seasoned Group Manager - Process Training to lead and enhance our training initiatives in BFS domain.

In this role, you will oversee the development and execution of comprehensive Domain training programs relevant to BFS and designed to improve operational efficiency and support strategic goals.

You will collaborate with various departments to ensure training programs align with business needs and drive continuous improvement.

• Training Development and Management: Design and implement domain training programs tailored to organizational needs, ensuring effective delivery and measurable outcomes.
• Needs Assessment: Partner with respective Training leaders to assess Domain training needs, identify process gaps, and propose solutions.
• Program Evaluation: Analyze training program effectiveness using feedback, assessments, and performance data to drive improvements.
• Content Creation: Develop and refine training materials, including manuals, e-learning modules, and interactive sessions. Produce customized training resources, including manuals, case studies, simulations, and role-playing scenarios, to equip employees with the tools they need to effectively upskill themselves in domain.
• Stakeholder Engagement: Engage with senior management and key stakeholders to ensure alignment of training programs with business objectives.
• Vendor Management: Engage with various vendors providing training to gauge and leverage niche domain expertise that may be required time to time.
• Process Improvement: Identify and integrate best practices into training programs to enhance process efficiency and effectiveness.
• People Management: Guide/Mentor team members and drive training governance through them. Identify team members areas for development and help them in upskilling

• Research and develop documents related to the embedded and automotive domains
• Create research plans (time, definition of user groups, methods, activities, data storage)
• Make report
• Design and write the embedded software as per the requirements
• Participate in design and code reviews
• Attend regular team meetings to share project status, issues and ideas

• Support training organization (Pre – During – Post Training)
• Support BTC-AS projects, training events organized in Vietnam & Region (such as training material designing & delivery, send communication to stakeholders, support and guide visitors, participants...).
• Data maintainance & reporting by frequency (daily, weekly, monthly...)
• Support other admin tasks assigned by line manager.

Visa Knowledge Management Library Service is a brand-new initiative / team in BI&A Pillar in Data & AI Org in Visa. This position is for a Staff ML Engineer with solid development experience who will focus on creating new capabilities for Knowledge Management Library Service development processes. In this position, you are first a passionate and talented developer that can work in a dynamic environment as a member of Agile Scrum teams.  Your strong technical leadership, problem-solving abilities, coding, testing and debugging skills is just a start.  You must be dedicated to filling product backlog and delivering production ready code.  You must be willing to go beyond the routine and prepared to do a little bit of everything.

You will be an integral part of the development team, sometimes investigating new requirements and design and always working on ways to make us more efficient and provide better solutions to our end customers. The role is for a self-organized individual with knowledge of web application and web service development. The candidate will perform hands-on activities including design, documentation, development, and test of new functionality. Candidate must be flexible and willing to switch tasks based on team’s needs.

 As a Staff ML Engineer, you will have the unique chance to make a direct and meaningful impact by delivering solutions that powers AI systems. You will design, enhance, and build solutions dealing with the next generation AI/ML and GenAI technology and be an agent of transformation. We deliver and support strategic goals and have a lasting impact on our enterprise. We aim to stay ahead of the curve adapting to the advancement of Generative AI and keep our business miles ahead of our competitors. 

Essential Functions:

• Develop platforms, applications, and solutions powered by machine learning to tackle business challenges and enhance product performance.
• Write high-quality, efficient, testable code using one or more of the programming language Java, Python, Rust, JavaScript and/or scala.
• Implement machine learning pipelines and workflows for data preprocessing, feature engineering, model training, and evaluation.
• Drive the development effort end-to-end for timely delivery of high-quality solutions that conform to requirements, conform to the architectural vision, and align with all applicable standards. 
• Collaborate with senior technical staff and Project Managers to identify, document, plan contingency, track and manage risks and issues until all are resolved. 
• Present technical solutions, capabilities, considerations, and features in business terms. 
• Effectively communicate status, issues, and risks in a detailed and timely manner. 

This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.

Job Summary:

BlueOptima has a truly unique collection of vast datasets relating to the changes that software developers make in source code when working in an enterprise software development environment.

As a Senior Machine Learning Data Engineer, you will take problems and ideas from our clients and customer support teams, analyze what would be involved, whether the solution will solve the underlying problem, and plan and develop solutions with a small team. Ensuring the team is able to deliver the solutions you have planned in the required time. You should be able to provide your own ideas or problems that we are well-positioned to tackle. As with many problems within the Data Engineering space, defining effective pipelines to gather, curate, and manage the data is as important as selecting the best approach using ML techniques.

You will take responsibility for managing the end-to-end process, this means that you will own and plan the initial exploration of the data, the development of a solution, design the requirements for ongoing monitoring of the solution once it is released, and tackle any issues that arise from the solution. Solution ownership is a fundamental part of the role and it is expected that you would not only take this for the solutions you develop but support others to own and take responsibility for the solutions they are involved in. 

With support from other senior members of the wider team, you will take responsibility for supporting the work of a small group of Data Engineers, ensuring that they can deliver effective solutions on time. This will include supporting their progression and utilizing the tools that BlueOptima provides.

You will use tools ranging from advanced Machine Learning algorithms to Statistical approaches and will be able to select the best tool for the job. This means both being able to suggest cutting-edge approaches to problems and just as importantly identifying when a simpler approach will provide an effective solution. 

Your team:

The Data Engineering team at BlueOptima accelerates value delivery for internal and external stakeholders by providing production-ready solutions & actionable insights. We cater to all products within BlueOptima, supercharging their success through data-driven innovation.

You will be working hand-to-hand with a diverse team with a variety of skill sets across the fields of Data Analytics, Machine learning & Artificial intelligence. The majority of the team is currently based out of our Bangalore office.

Responsibilities and tasks: 

• Solve business problems using advanced Machine Learning and statistical techniques 
• Led a small team of Machine Learning Data Engineers providing technical leadership to mid/junior-level team members
• Coordinate with internal and external stakeholders to understand requirements and opportunities to add value
• Identify opportunities to add value using Machine Learning across the business
• Identify and work to resolve bottlenecks in skills, technology, and processes restricting the team's ability to deliver excellence
• Exploring vast datasets, both structured and unstructured
• Foster a culture of ownership. Ensuring others own the final solution; coordinating with different teams including engineering and client-side teams to take a solution from exploratory analysis to deployed in production. 
• Facilitate taking solutions into production, through active participation with the internal development teams
• Spec the requirements to solve a problem identify the critical path and timelines and be able to give clear and defensible estimates quantifying any uncertainty
• Takes data-driven approaches to validate assumptions/issues and track progress on changes being implemented

What You Need to Succeed at BlueOptima: 

• Minimum of 4+ years' experience in developing solutions with at least 3+ years using Machine learning Algorithms in industry.
• Experience in leading and managing a team of ML/Data Engineers
• An in-depth understanding of a wide range of Machine Learning techniques, and an understanding of which approach is best suited for the problem at hand (structured and ill-structured)
• Strong statistical analytics skills demonstrated through data engineering or similar experience.
• Strong Python programming expertise in both applications and scripting simple solutions
• A drive to not only identify a solution to a technical problem but to see it all the way through to inclusion in a product.
• Strong written and verbal communication skills
• Strong interpersonal and time management skills

Good to have (Technical requirements/ Previous experience)

• Significant experience with NLP techniques.
• Experience working with managing software vulnerabilities in a coding environment.
• An understanding of defensive coding practises.
• Experience with automating tasks to maximise time for more important problems.
• Experience with PostgreSQL or similar Rational Database.
• Experience with Data Visualisation experience (via Grafana, Superset, Tableau, or similar) is preferable.
• Be comfortable explaining very technical concepts to non-expert people

Your career progression: 

At BlueOptima, we strive to strengthen your skills, widen your scope of work, and develop your career fast. For this role, you would have a choice in how you want to progress with us either become a more technical expert or taking on a larger team and a greater range of projects to manage. 

Join us as a Data Research & Operations Intern and gain invaluable experience working with data that drives our business forward.

Key Responsibilities:

• Conduct comprehensive market research to gather relevant data on talent acquisition trends, candidate profiles, and competitor landscape.
• Assist in data entry, management, and cleaning to ensure data integrity in our databases.
• Support the operations team in analyzing data for insights that improve recruitment processes and client satisfaction.
• Collaborate with various teams to help develop operational strategies based on gathered insights.
• Create visual reports and presentations to communicate research findings and operational metrics.
• Document processes and maintain accurate records of research methodologies and results.

• Currently pursuing a degree in Data Science, Business Administration, or a related field.
• Strong analytical skills and a keen eye for detail.
• Basic proficiency in data analysis tools (e.g., Excel, Google Sheets) and visualization software (e.g., Tableau, Power BI).
• Good communication skills, both written and verbal.
• Ability to work independently and collaboratively in a fast-paced environment.
• A positive attitude and a willingness to learn and adapt.

• Exposure to international markets and the opportunity to work with a diverse team
• Flexible remote working arrangements
• Career Progression
• Paid Time Off

At NIQ we are committed to helping our clients grow through a comprehensive understanding of consumer behaviour, and by leveraging on ongoing innovations in technology. Our work helps our clients set growth strategies, and determines what products or services you ultimately see in the market and how our clients drive their marketing and trade strategies. 

We are seeking out a self-motivated researcher, who is equally comfortable working independently and as part of a team managing local, regional and global studies. The role comes with an opportunity to work across a diverse range of sectors, categories, markets and business issues - and with a lot of autonomy to apply own thinking and expertise to design and execute Qualitative research projects. 

RESPONSIBILITIES 

• Actively drive issue-based analyses, deliver proactive insights, and build effective analytical presentations and consultative storytelling to clients with insightful and actionable recommendations. 
• Deliver three aspects of actionable insights KPIs: (1) quality of data, (2) quality of analysis and (3) quality of delivery (incl. reporting and presentation). 
• Build strong relationships with clients through empathetic understanding of clients’ needs/requirements and consultative advisory. 
• Assist in driving continuous innovation and leverage new techniques and technologies into the field of qualitative research.

ABOUT YOU 

The Senior Executive for Qualitative Research, Consumer Insights assists the Consumer Insights at NIQ in leading the qualitative research team and is responsible for supporting the quality of research output as well as the engagement & client management of the practice area. He/she should be recognized and seen as having a strong interest in Qualitative research. Experience of working with (or previous academic studies within) Ethnography, Semiotics, Design thinking, UI/UX are also valuable to the role.

As part of Core LLM Team, we build and evolve Generative AI based solutions, and partner with teams to build products and end-to-end AI-powered work experiences. In equal measure, we lay the foundations, research, experiment, and de-risk AI technologies that unlock new work experiences in the future.

Applied research scientists/engineers are expected to find innovative and cost-effective solutions to key problems, deliver high quality code, and work with product managers/machine learning engineers/performance, quality engineers to take the product to market.

We are looking for an enthusiastic and experienced Learning and Development (L&D) Facilitator to join our team. The role involves designing, developing, and delivering effective training programs, supporting various departments, and continuously improving learning initiatives. You will oversee the entire learning process, from identifying training needs to monitoring and measuring success, ensuring that training is engaging, accessible, and relevant to the MCA SEA team.

Key Responsibilities

Training Development and Delivery

·        Develop and produce training programs aligned with company objectives.

·        Conduct training sessions for employees across departments, ensuring consistent knowledge transfer.

·        Develop and oversee training schedules, ensuring all participants have access to required learning opportunities.

·        Define clear learning objectives in collaboration with stakeholders, setting measurable outcomes for all training programs.

·        Choose appropriate formats (e.g., eLearning, instructor-led training, podcasts, infographics) to deliver content based on audience needs.

·        Design comprehensive learning plans that ensure cohesive and structured training content.

Learning Support and Audience Understanding

·        Provide learning support to MCA SEA and other relevant teams.

·        Understand the audience by analyzing the specific needs of different departments and roles within the MCA SEA team.

·        Ensure content is engaging and simplified, breaking it down into manageable, logically organized sections.

·        Gather feedback from stakeholders to ensure training materials are clear, user-friendly, and not overwhelming.

Tracking, Monitoring, and Reporting

·        Maintain accurate records of all training, including attendance and feedback.

·        Monitor, track, and measure the success of training programs through feedback, assessments, and performance metrics.

·        Report on the outcomes of learning initiatives to key stakeholders.

·        Learning Management System (LMS) Administration

·        Maintain and update the Learning Management System (LMS) to ensure content is up-to-date and accessible.

Content Review and Improvement

·        Review existing training materials, identifying areas of improvement to enhance effectiveness and engagement.

Must have skills

·        Proven experience as an L&D Facilitator, Trainer, or similar role.

·        In-depth knowledge of instructional design and eLearning techniques.

·        Experience with Learning Management Systems (LMS) and digital content creation.

·        Excellent English skills (writing & speaking) and presentation skills.

·        Exceptional ability to engage with diverse audiences and customize training content to meet the specific needs and learning styles of various groups

·        Strong organizational skills with the ability to manage multiple training initiatives simultaneously.

·        Proficiency in evaluating training impact and delivering data-driven insights for continuous improvement.

Nice to have skills

·        Experience working with international teams, especially in the SEA region.

·        Familiarity with MCA SEA operations and business structure.

·        Knowledge of gamification in learning and development.

At TYME, opportunities are here for the taking. If you want to be part of our purpose and live and lead through our values, we can offer exciting development opportunities through expanded lateral roles, stretch assignments, or people leadership.

Benefits:

·        Meal and parking allowances are covered by the company.

·        Full benefits and salary rank during probation.

·        Insurances such as Vietnamese labor law and premium health care for you and your family.

·        SMART goals and clear career opportunities (technical seminar, conference, and career talk) - we focus on your development.

·        Values-driven, international working environment, and agile culture.

·        Overseas travel opportunities for training and work-related.

·        Internal Hackathons and company events (team building, coffee run, etc.).

·        Pro-Rate and performance bonus.

·        15-day annual + 3-day sick leave per year from the company.

·        Work-life balance 40-hr per week from Mon to Fri.

Strategic and Functional Excellence

• Good business acumen to orient data analysis to business needs of clients, including experience in the payments space.

• Ability to detail out the assigned user stories with relevant implementation details and ensuring the sprint based Agile best practices are followed.

• Should have strong problem-solving capabilities and ability to quickly propose feasible solutions and effectively communicate to stakeholders.

• Good communication and presentation skills with ability to interact with different cross-functional team members at varying levels

• Ability to learn new tools and paradigms as data science continues to evolve at Visa and elsewhere.

• Intellectually curious and continuously striving to learn.

Technical skills

• Experience with machine learning model implementation, deployment and management.

• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.

• Strong programming skills in building data pipelines using PySpark, Hive, Airflow.

• Experience working with scheduling tools (Airflow, Oozie) or building data processing orchestration workflows.

• Hands-on experience working with large scale data ingestion, processing, and storage in the Hadoop ecosystem

• Experience in writing and optimizing SQL queries in Big data environment.

• Experience working in Linux/Unix environment and exposure to command line utilities.

• Experience working in building and integrating the code in the defined CI/CD framework using git.

• Experience in managing the operations of ML models, de-bugging issues and providing fixes.

People Leadership and Stakeholder Management

• Strong interpersonal and leadership skills to influence and build credibility with senior leaders across a federated organization

• Team-oriented, collaborative, diplomatic, and flexible, with proven ability to build strong working relationships with internal and external clients at all levels of management and work on complex issues within cross-functional teams

• Self-starter who can responsibly advance work and is comfortable making sound, well-informed judgement calls for progress, without needless delays

• An individual who is known for building deep and trusted relationships despite sometimes competing priorities

• Open-minded and willing to listen to ideas and opinions from others. Able to look for new solutions when current processes don't work

This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.

The Staff ML Scientist will work with a team to conduct world-class Applied AI research on data analytics and contribute to the long-term research agenda in large-scale data analytics and machine learning, as well as deliver innovative technologies and insights to Visa's strategic products and business. This role represents an exciting opportunity to make key contributions to Visa's strategic vision as a world-leading data-driven company. The successful candidate must have strong academic track record and demonstrate excellent software engineering skills. The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, and excellent collaboration skills. 

Essential Functions

• Formulate business problems as technical data problems while ensuring key business drivers are collected in collaboration product stakeholders.

• Work with product engineering to ensure implement-ability of solutions. Deliver prototypes and production code based on need.

• Experiment with in-house and third-party data sets to test hypotheses on relevance and value of data to business problems.

• Build needed data transformations on structured and un-structured data.

• Build and experiment with modeling and scoring algorithms. This includes development of custom algorithms as well as use of packaged tools based on machine learning, analytics, and statistical techniques.

• Devise and implement methods for adaptive learning with controls on efficiency, methods for explaining model decisions where vital, model validation, A/B testing of models.

• Devise and implement methods for efficiently monitoring model efficiency and performance in production.

• Devise and implement methods for automation of all parts of the predictive pipeline to minimize labor in development and production.

• Contribute to development and adoption of shared predictive analytics infrastructure.

This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.

As a Senior Director of applied AI/ML you will lead a machine learning team and drive innovation in our products and services tied to Visa's strategic vision. As a key leader within our organization, you will be responsible for shaping our machine learning strategy, building and mentoring a high-performing team, and delivering impactful solutions to complex business problems.

This role represents an exciting opportunity to make key contributions to Visa's strategic vision as the world-leading digital payments company. The successful candidate must have an proven track record in designing, developing and deploying sophisticated & impactful predictive & data-powered solutions leveraging state of the art AI/ML & GenAI technologies. The candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, and excellent team leading abilities.

Essential Functions

• Develop and execute the machine learning strategy aligned with Visa’s strategy.

• Lead a team of machine learning researchers, data scientists, and data engineers to design, develop, and deploy cutting-edge machine learning models and algorithms.

• Be accountable the team members' career growth and establish Visa as the best place to work.

• Be a key influencer in identifying opportunities for leveraging machine learning to enhance products and services with the ultimate goal of driving revenue growth, while collaborating with cross-functional teams across product and engineering.

• Create a highly prioritized AI/ML roadmap and resourcing requirements for successful delivery on the roadmap.

• Provide technical leadership and guidance on machine learning best practices, methodologies, and tools.

• Define and track key performance indicators (KPIs) to measure the impact of machine learning initiatives and drive accountability while challenging the status-quo.

• Foster a culture of innovation, collaboration, and continuous learning within the machine learning team

• Partner with senior leadership to communicate the value proposition of machine learning and secure resources and support for strategic initiatives.

• Stay current with new research, aware of competitors and of knowing when product need to be sunset due to technical reasons or it does not fit Visa's overall visions.

• Stay abreast of the latest advancements in machine learning, artificial intelligence, and related fields, and assess their potential impact on the business.

• Represent the company in external forums, conferences, and industry events to showcase our machine learning capabilities and thought leadership.

• Create tight working relationships with other members of the Data Science community at Visa.

• Work with vendors on evaluating solutions. Work with legal on understanding data governance. Work with technology teams on infrastructure available and influence new technology.

This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.

• Support organize and coordinate training sessions and workshops
• Support trainers during sessions and manage participant needs
• Collect and analyze feedback to improve training programs
• Maintain accurate training records and databases
• Handle L&D internal services, learning programs and events
• Other administrative tasks assigned by the supervisor (market research, paperwork...)

Our mission and where you fit in

At Employment Hero, we’re an ambitious bunch of people on a mission to make employment easier and more valuable for everyone.

Our world-class software is the easiest way for businesses to manage HR, payroll, employee engagement, and benefits.

Since our inception in 2014, we've had some pretty impressive growth (100% YoY), reached unicorn status in 2022, and now serve 300,000 businesses globally, with 2 million+ users on the platform. We have no plans to slow down. 

There’s never been a more exciting time to join one of the fastest-growing SaaS unicorns, so let’s see if we could be a match!

In your role, you'll be focused on

Play a critical role in developing and deploying machine learning models and systems. They bridge the gap between data science and software engineering, applying machine learning algorithms to real-world problems.

You’re the hero we’re looking for if:

• Proficiency in a wide range of machine learning algorithms, including supervised, unsupervised, and reinforcement learning, understanding when and how to apply each specific algorithm.
• Knowledge of data preprocessing techniques, including data cleaning and feature engineering.
• Ability to assess model performance using metrics like accuracy, precision, recall, F1-score, and AUC-ROC, and perform hyperparameter tuning to improve model performance.
• Experience in deploying machine learning models to production environments, including containerization (e.g., Docker) and orchestration tools (e.g., Kubernetes), for batch and real-time inference.
• Familiarity with cloud platforms like AWS, Azure, or Google Cloud for scalable and cost-effective model deployment and data storage.
• Strong programming skills in Python and comfortable with common ML libraries like TensorFlow, PyTorch, scikit-learn, and Keras.
• Strong software engineering principles, including modular code design, code optimization, and familiarity with software development best practices.
• Proficiency in working with databases, both SQL and NoSQL, to access and manipulate data.
• Knowledge of testing frameworks and practices to ensure model performance and reliability in production.

Nice to have skills/ experiences (but not required to be considered):

• DevOps practices and tools for reliable and scalable data solutions.
• Experience with Generative AI and libraries like LangChain and LlamaIndex
• Familiarity with NLP libraries and frameworks like NLTK, spaCy, Gensim, and Hugging Face Transformers for various NLP tasks.

Experience is important, but for us the biggest measure of success is people who can live and breathe our values. Show us what you can bring to the table, and we’ll empower you to let your talents shine.

The EH Way

The EH Way is how we describe our culture at Employment Hero and how we all operate. It is our DNA. You can read all about it on our careers page: https://employmenthero.com/careers/ 

In short, you’ll love working with us if:

• Revolutionising employment gets your heart racing.
• You thrive on the flexibility (and responsibility) of a remote-first business.
• Our values align, and shape how you show up every day.
• You love the dynamic pace of a startup, are driven by innovation, and enjoy working with other smart people.

But don’t just take it from us, hear from your local heroes: Thao Ta, Head of People and Culture & Hung Pham, Group Engineer Manager: Life at Employment Hero | Vietnam

Plus, you’ll get to enjoy a number of great perks, including: 

• A generous budget for your home office.
• Cutting-edge tools and technology.
• 20 days Annual Leave, plus VN Public Holidays.
• $500 USD for your professional development plan.
• $500 USD for English learning courses.
• Premium Healthcare Insurance Program for you and your loved ones, plus full gross salary paid social insurance.
• Sports club funded by Employment Hero.
• Monthly get-together event in the office for team bonding and VND 80,000 budget for lunch for day-in-office.
• Reward and recognition programs - because great work should be recognised and rewarded.
• Employee Share Option Program: be an owner of Employment Hero.
• Annual Global Gathering - so far we’ve been to Thailand, Vietnam and are excited to meet in Bali in September 2024.

Are we a match? 

Think we're the right match for you? Fantastic! Click 'Apply' and our talent team will reach out with the next steps.

At Employment Hero, we are committed to safeguarding the privacy of your application data. To understand how we do so, you can read our Applicant Privacy Policy here: https://employmenthero.com/legals/applicant-policy/

Employment Hero celebrates diverse perspectives and experiences, we invite people of all backgrounds and identities to apply for this position.

Our mission and where you fit in

Our ambitious team at Employment Hero is on a quest to transform employment, making it easier and more valuable for everyone. Our world-class software is the easiest way for small and medium-sized businesses to manage HR, payroll, employee engagement, and benefits. 

Since our inception in 2014, we've had enormous growth (100% YoY), now serving 300,000 businesses globally, with 2 million+ users on the platform, reaching unicorn status in 2022 - and we have no plans of slowing down. 

There’s never been a more exciting time to join one of the fastest-growing global unicorns. We're a team of global innovators, who cherish diverse perspectives that fuel our mission; to simplify the world of work for SMBs worldwide. So let’s see if we could be a match!

As our Lead Machine Learning Engineer, you will...

Play a pivotal role in advancing our AI efforts. You will have expert-level understanding of Large Language Models (LLM) and stay up to date with the latest developments in this space to build scalable, robust, and high-performance AI systems. Your deep technical expertise and business acumen will be crucial in identifying opportunities for AI integration and leading implementation projects that drive business growth.

In your role, you'll be focused on...

• Design and build working prototype/s for machine learning and AI applications.
• Architect and implement scalable AI systems and pipelines, ensuring seamless integration with existing infrastructure.
• Design an evaluation framework to track the system performance online and offline.
• Understand business needs and identify opportunities where AI can drive significant value, creating actionable strategies and roadmaps for AI implementation.
• Develop compelling business cases, clearly define objectives, scope, and deliverables for AI projects.
• Work closely with cross-functional teams, including software engineers and product managers, to build AI solutions that solve customer problems.
• Provide technical guidance and mentorship to other ML engineers, fostering a culture of continuous learning and innovation.

You’re the Hero we’re looking for if...

• 5+ years of experience in machine learning, with a strong focus on applied AI and large language models.
• Strong experience with programming languages, techniques, tools and frameworks aligned with machine learning; e.g. Python, LLM, OpenAI, LangChain, LlamaIndex, Vector DB, RAG, HuggingFace, NLP, Recommender System, Chatbot.
• Experience with Generative AI, Prompt Engineering and Large Language Models.
• Be at the cutting edge of AI research, continuously exploring new methodologies, tools, and techniques to enhance our AI capabilities.
• Experience using Agile methodologies and working with Product teams.
• Quality coding practices, including test-driven development, unit testing and secure coding awareness.
• You are passionate about learning and sharing your knowledge, and not afraid to challenge your peers, but also welcome being challenged.
• English language abilities, both written and verbal - you’ll be working with people across the world.

The EH Way

The EH Way is how we describe our culture at Employment Hero and how we all operate. It is our DNA. You can read all about it on our careers page:  

In short, you’ll love working with us if:

• Revolutionising employment gets your heart racing.
• You thrive on the flexibility (and responsibility) of a remote-first business.
• Our values align, and shape how you show up every day.
• You love the dynamic pace of a startup, are driven by innovation, and enjoy working with other smart people.

But don’t just take it from us, hear from your local heroes: Thao Ta, Head of People and Culture & Hung Pham, Group Engineer Manager: Life at Employment Hero

Plus, you’ll get to enjoy a number of great perks, including: 

• A generous budget for your home office.
• Cutting-edge tools and technology.
• 20 days Annual Leave, plus VN Public Holidays.
• $500 USD for your professional development plan.
• $500 USD for English learning courses.
• Premium Healthcare Insurance Program for you and your loved ones, plus full gross salary paid social insurance.
• Sports club funded by Employment Hero.
• Monthly get-together event in the office for team bonding and VND 80,000 budget for lunch for day-in-office.
• Reward and recognition programs - because great work should be recognised and rewarded.
• Employee Share Option Program: be an owner of Employment Hero.
• Annual Global Gathering - so far we’ve been to Thailand, Vietnam and are excited to meet in Bali in September 2024.

Are we a match? 

Think we're the right match for you? Fantastic! Click 'Apply' and our talent team will reach out with the next steps.

At Employment Hero, we are committed to safeguarding the privacy of your application data. To understand how we do so, you can read our Applicant Privacy Policy here: 

Employment Hero celebrates diverse perspectives and experiences, we invite people of all backgrounds and identities to apply for this position.