Total 187 Education / Training job vacancies in India - Karnataka - Bangalore

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. 

Are you passionate about fitness & looking to gain hands-on experience while getting paid to learn? Movement & Sports Medicine Centre is offering a unique opportunity for aspiring fitness professionals to join our team under a paid scholarship programme with on-the-job training!

What We Offer:

• Paid to Learn: Earn while you learn & grow in the fitness industry.
• Comprehensive Training: Receive extensive on-the-job training to become a competent fitness group trainer.
• Sports Medicine Trainer Certificate: Upon completing a one-year contract, you will receive an internationally recognised Sports Medicine Trainer certification.
• A Rare Opportunity: This is a unique offer in Singapore's fitness industry, as no one else is providing such an opportunity to get paid to learn, gain certification, & acquire real-world experience.

Initial Training Details:

• Training Duration: 2 weeks
• Schedule: Monday, Tuesday, Thursday, & Friday, from 1pm to 5pm (Wednesday is an off day)

Role Details:

• Commitment: Minimum of 2 hours of class teaching each day/week.
• Career Growth: Based on your performance, we can allocate more hours for you to earn more & advance your skills.
• Practical Experience: Learn how to assess workouts, make appropriate regressions for clients, & enhance their performance.

Requirements:

• Experience: At least 1 year of experience in customer service & weight training.
• Free Weight Training: Must possess experience in free weight training.
• Group Training: Experience in group training is essential.
• Team Player: Must be an independent worker yet a team player.
• Contract: 1 year

What You'll Gain:

• Group Training Expertise: Learn to lead fitness classes confidently & effectively.
• Workout Assessment Skills: Develop the ability to quickly assess individuals’ workouts & make simple adjustments to optimise performance.

• Hands-On Experience: Work directly with clients, learning & applying the principles of sports medicine & group fitness.This opportunity is ideal for those seeking to enhance their professional skills while gaining certification & valuable experience in a supportive environment. If you are motivated, eager to learn, & want to make a difference in people's fitness journeys, we'd love to hear from you!

Apply now to embark on this rewarding journey!

Only 4 slots available – WhatsApp 87693235 directly to the studio to send in your interest!

Zone IT Solutions is on the lookout for a creative and driven Video Content Creator with a focus on sales, marketing, and training. As a key member of our marketing team, you will be responsible for producing high-quality video content that effectively communicates our value propositions, engages our audience, and supports our sales and training efforts.

Your role will involve brainstorming, scripting, shooting, and editing videos that enhance our brand presence and drive business outcomes.

Responsibilities:

• Create engaging video content tailored to sales, marketing, and training initiatives, including promotional videos, tutorials, webinars, and product demos.
• Target channels will ne LinkedIn, Youtube, FB, shorts, Insta and long format training/webinar kinda content too.
• Collaborate with cross-functional teams to understand video requirements and objectives.
• Script and storyboard videos to ensure clear messaging and brand alignment.
• Experience with Video edit and AI content creation tools, experience
• Ensure all videos maintain high production quality and adhere to brand guidelines.
• Optimize videos for various platforms, including social media, website, and email marketing.
• Stay updated on industry trends and best practices in video marketing and production.

Requirements:

• Proven experience as a Video Content Creator, Videographer, or similar role.
• Proficiency in video editing software (e.g., Adobe Premiere Pro, Final Cut Pro, After Effects).
• Strong understanding of storytelling, pacing, and visual composition.
• Experience with video production equipment (cameras, lighting, audio, etc.).
• Ability to work independently and manage multiple projects simultaneously.
• Strong communication skills with a collaborative mindset.
• Familiarity with SEO best practices for video content is a plus.
• Passion for technology and staying up-to-date with the latest trends in video marketing.

About Us

Zone IT Solutions is Australia based Recruitment Company. We specialize in Digital, ERP and larger IT Services. We offer flexible, efficient and collaborative solutions to any organization that requires IT, experts. Our agile, agnostic and flexible solutions will help you source the IT Expertise you need. Our delivery Offices are in Melbourne, Sydney and India. If you are looking for new opportunities your profile at Careers@zoneitsolutions.com or contact us at 0434189909

Also follow our LinkedIn page for new job opportunities and more.

Zone IT Solutions is an equal opportunity employer and our recruitment process focuses on essential skills and abilities. We welcome applicants from a diverse range of backgrounds, including Aboriginal and Torres Strait Islander peoples, people from culturally and linguistically diverse (CALD) backgrounds and people with disabilities.

The Training Coordinator is pivotal in ensuring exceptional customer service and smooth administrative operations for our education and training courses. This role involves handling inquiries, processing enrolments, managing payments, and coordinating with various departments to ensure a seamless experience for our students. You shall be detail-oriented, customer-focused, and adept at multitasking.

Duties and Responsibilities shall include but not be limited to:

Customer Service:

• Respond to incoming phone calls promptly, addressing inquiries and providing information about courses and services.
• Handle email inquiries efficiently, offering accurate information and solutions to potential and current students.

Course Administration:

• Process student enrolments into courses accurately, ensuring all necessary details are captured.
• Send course confirmation details to students, ensuring they have all necessary information.
• Distribute eLearning resources and materials to enrolled students.
• Input student and course details into tracking lists accurately for record-keeping and reporting purposes.
• Follow up on rescheduling requests and manage medical certificates (MC) for students unable to attend courses.
• Update trainers with course details, ensuring they have all necessary information for their sessions.
• Accurately create and update course details in the system, ensuring all information is current and correct.
• Work with course agents on student registrations and related inquiries.
• Issue and send course completion certificates to students.

Payment Coordination:

• Issue invoices and provide guidance on SkillsFuture credit claims to students, ensuring timely collection of fees.
• Collaborate with the finance department to ensure all payments are processed and recorded accurately.

Team Collaboration:

• Work with team members on handling corporate inquiries and providing comprehensive service to corporate clients.

Perform other administrative tasks and support functions as needed to ensure smooth operation of the department.

Responsibilities include but are not limited to the following:

1. Plan, prepare, and implement a curriculum that is appropriate for the age level, skill, and social development of the group of children served.
2. Supervise and interact with the children in all areas of the program, outdoors, and during field trips away from the program.
3. Maintain a safe and healthy environment that helps each child to have a positive experience throughout the school day.
4. Treat all children with dignity and respect and allow for individual differences.
5. Be familiar with and adhere to the program’s policies, health and safety regulations, and emergency procedures.
6. Be responsible for maintaining the observational records such as portfolio for each child.
7. Maintain an open, friendly, professional relationship with all families.

At Allucent™, we are dedicated to helping small-medium biopharmaceutical companies efficiently navigate the complex world of clinical trials to bring life-changing therapies to patients in need across the globe.

We are re seeking a highly skilled and experienced Associate Director/Director of Development to join our A-team (hybrid*). As an Associate Director/Director of Development to lead our development team in creating innovative, custom applications for clinical trials. This role requires a seasoned professional with a minimum of 10 years of hands-on experience in full-stack development using Java, JavaScript, React, and other modern technologies. The ideal candidate will have a strong understanding of clinical research processes, applications, and integrations, coupled with a proven track record in engineering and delivering complex software solutions. As the Development Team Leader, you will guide a small to medium-sized team of developers, driving the creation of cutting-edge solutions that support clinical research and operations. Your innovative mindset and deep technical expertise will be critical in ensuring that our products meet the highest engineering standards and align with business requirements.

In this role your key tasks will include:

• Lead, mentor, and manage a team of developers in the design, development, and deployment of custom applications for clinical trials.
• Foster a collaborative and innovative team environment, encouraging continuous learning and professional development.
• Oversee and contribute to the development of applications using Java, JavaScript, React, and other modern technologies.
• Ensure that all software development is performed to the highest standards, with a focus on scalability, security, and performance.
• Collaborate with cross-functional teams (e.g., product management, clinical operations) to gather and understand product requirements from an engineering perspective.
• Translate business and user requirements into technical specifications, ensuring that the development team delivers solutions that meet or exceed expectations.
• Drive the product development lifecycle from an engineering standpoint, ensuring alignment with technical goals and timelines.
• Leverage your deep understanding of clinical research processes and applications to design and develop solutions that enhance clinical trial efficiency and data integrity.
• Work closely with stakeholders to integrate applications seamlessly with other clinical systems and platforms.
• Bring an innovative mindset to the development process, identifying opportunities to incorporate new technologies and methodologies that drive product excellence.
• Contribute to the strategic direction of the development team and the broader organization, ensuring that our technology solutions remain at the forefront of the industry.
• Ensure that all developed applications comply with relevant regulatory standards and best practices within the clinical research industry.
• Implement and maintain robust testing and quality assurance processes to deliver reliable and compliant products.

To be successful you should possess:

• Minimum of 10 years of hands-on experience in full-stack development, with expertise in Java, JavaScript, React, and related technologies.
• At least 5 years of experience in a leadership role, managing and mentoring development teams.
• Extensive experience in developing custom applications for clinical trials or within the healthcare industry.
• Proficient in full-stack development, including front-end and back-end technologies.
• Strong understanding of software architecture, design patterns, and best practices.
• Experience with integrations, APIs, and data management in clinical research applications.
• Deep understanding of clinical research processes, regulatory requirements, and industry standards.
• Experience with clinical trial management systems (CTMS), electronic data capture (EDC), and other relevant applications.
• Ability to gather and understand product requirements and translate them into technical specifications.
• Proven track record in delivering complex software solutions that align with business needs and technical goals.
• Strong leadership and team management skills, with the ability to inspire and motivate a team.
• Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.
• Innovative mindset with a passion for leveraging technology to solve complex problems.
• Bachelor’s degree in computer science, Software Engineering, or a related field.
• Experience with cloud platforms (e.g., AWS, Azure) and DevOps practices.
• Familiarity with machine learning and AI applications in clinical research.

Benefits of working at Allucent include:

• Comprehensive benefits package per location
• Competitive salaries per location
• Departmental Study/Training Budget for furthering professional development
• Flexible Working hours (within reason)
• Opportunity for remote/hybrid* working depending on location
• Leadership and mentoring opportunities
• Participation in our enriching Buddy Program as a new or existing employee
• Internal growth opportunities and career progression
• Financially rewarding internal employee referral program
• Access to online soft-skills and technical training via GoodHabitz and internal platforms
• Eligibility for our Spot Bonus Award Program in recognition of going above and beyond on projects
• Eligibility for our Loyalty Award Program in recognition of loyalty and commitment of longstanding employees

Disclaimers:

*Our hybrid work policy encourages a dynamic work environment, prescribing 2 days in office per week for employees within reasonable distance from one of our global offices.

“The Allucent Talent Acquisition team manages the recruitment and employment process for Allucent (US) LLC and its affiliates (collectively “Allucent”). Allucent does not accept unsolicited resumes from third-party recruiters or uninvited requests for collaboration on any of our open roles. Unsolicited resumes sent to Allucent employees will not obligate Allucent to the future employment of those individuals or potential remuneration to any third-party recruitment agency. Candidates should never be submitted directly to our hiring managers, employees, or human resources.”

An exciting opportunity has arrived at The Garcha Group, Singapore’s boutique hotel group currently with the following hotels:

- Maxwell Reserve, Autograph Collection Hotel (Marriott);

- Duxton Reserve, Autograph Collection Hotel (Marriott);

- The Vagabond Club, a Tribute Portfolio Hotel (Marriott);

- The Serangoon Club, a Tribute Portfolio Hotel (Marriott).

Garcha Group Benefits:

- As an associate of a Marriott hotel, you, your parents or parents-in-laws, children, spouse/domestic partner and siblings are eligible for discounts on F&B and room rates in 7,000+ hotels world-wide.

- As an associate of a Marriott hotel, you have access to the “Global Learning + Development” tool which creates for you personalized learning experiences designed to help you thrive in their Marriott career journey.

- Comprehensive Health Insurance Plan

- 2 nights yearly staycation including all meals and beverage (incl. alcoholic) in any of the 4 Garcha Group hotels in Singapore.

Job Description

• Maintains effective internal communication on learning needs and program to respective stakeholders.
• Effective administrative skills in tracking, record keeping, filing all training records.
• Support hotel audits with essential training records and follow company policy as well as local authority guideline in training related area.
• Ability to create a learning environment and assisting all other HR related activities and programs.
• Effective and coordination with external stakeholders
• Work with stakeholders and handle organisation’s learning and development needs
• Develop organisation’s overall learning plan and conduct learning needs analysis
• In charge of annual training budget
• Source and handle external partners regarding learning and development matters
• Develop and update employee orientation materials
• Conduct employee orientation
• Monitor employee training calendar and coordinate internal and external training programs
• Gather post training feedback and monitor effectiveness of training programs
• Perform additional tasks as needed.
• Conduct PMS Opera class for new hired team members.
• Curate an activity to enhance service standard.
• Assist administrative works related to Training team if required.
• Design, curate and implement learning programs and diverse learning solutions that drives capability-building and the workforce for the future.

Job Description & Requirements

1. The trainer must have Degree or postgraduate degree in Occupational Helat/Industrial Hygiene/ Engineering/Physics

2. Qualified as Certified Industrial Hygienist/ Certified Occupational Hygienist will have an added advantage

3. The trainer must have 5 years of WSH experience in Occupational Hygiene or Workplace Health.

4. The Trainer must have at least 2 years of training experience in workplace health related programme over the last 4 year

6. Must have completed the Advanced Certificate in Training Assessment (ACTA)

7. Must have completed the Code of Ethics for WSH trainers

Job Description & Requirements

1. The trainer must have Degree or postgraduate degree in Occupational Helat/Industrial Hygiene/ Engineering/Physics

2. Qualified as Certified Industrial Hygienist/ Certified Occupational Hygienist will have an added advantage

3. The trainer must have 5 years of WSH experience in Occupational Hygiene or Workplace Health.

4. The Trainer must have at least 2 years of training experience in workplace health related programme over the last 4 year

5. Must have completed the Advanced Certificate in Training Assessment (ACTA)

6. Must have completed the Code of Ethics for WSH trainers

Job Description:

• Facilitate training and activities ( practical and theory based) as per the lesson plan
• Conduct & review the assessment as stated in the Assessment Plan
• Provide administrative support in capturing the attendance, feedback etc of the learners
• Ensure training is conducted in a safe and conducive environment
• Ensure all assessment documents are duly completed
• Up-to-date on the latest trends in training and adult education sectors.

Requirements:

1. Full Acta

2.Advanced Certificate in Workplace Safety and Health/WSHO license

3. Minimun 5 years of experienc ein related industry

4. Code of ethics for WSH trainers

5. Registered WSH Officer with at least 2 years working experience relating to suspended scaffolds

6. Minimum of 3 years of practical experience in the actual operation, installation and dismantling relating to suspended scaffolds

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.

Job Title: Clinical Research Coordinator (Entry-Level)

Join our team and launch your career in clinical research!

We're seeking a motivated and detail-focused individual to assist in managing clinical trials. This is an excellent opportunity for recent graduates or those new to the field to gain hands-on experience and develop their skills in a rapidly growing industry.

Responsibilities:

• Assist in planning and managing clinical trials
• Coordinate with study sites and stakeholders
• Maintain accurate and up-to-date trial documentation
• Support patient recruitment and retention efforts
• Ensure compliance with Good Clinical Practice (GCP) and ethical guidelines

Ideal Candidate:

• Recent graduate or new to the field of clinical research
• Detail-oriented and organized
• Excellent communication and coordination skills
• Ability to work in a team environment
• Eager to learn and develop skills in clinical research

Clinical Research

About Us:

At Spinify, we're transforming how sales teams learn, grow, and succeed through cutting-edge AI-driven coaching and performance tools. We are on a mission to shift from gamification towards an intelligent coaching platform that leverages AI and real-time data to deliver personalized coaching, learning, and competition recommendations for sales teams. As we scale, we’re looking for an experienced AWS Machine Learning Engineer to help us build and maintain an innovative platform that ties coaching, learning, and AI together in a way that’s never been done before.

The Role:

We are seeking a Senior AWS Machine Learning Engineer who will be responsible for designing, developing, and deploying AI-powered solutions that personalize learning experiences, predict performance outcomes, and provide real-time coaching feedback. You will be working with a stack of cutting-edge AWS technologies to create an adaptive system that integrates real-time data, predictive analytics, and machine learning models.

Key Responsibilities:

• Build and deploy scalable Machine Learning models using AWS SageMaker for personalized learning, predictive analytics, and performance coaching.
• Develop and manage real-time data pipelines using AWS Kinesis and AWS Glue for streaming performance data, integrating third-party data sources, and ensuring accurate data flow.
• Design, implement, and optimize natural language querying using AWS Q to allow managers and users to interact with performance data and get actionable insights.
• Use Amazon Personalize to create dynamic, personalized learning paths and recommendations for users based on their performance and activity.
• Implement emotional intelligence analysis using Amazon Rekognition and Amazon Comprehend to analyze video coaching sessions and deliver AI-driven feedback on tone, sentiment, and body language.
• Build and maintain real-time dashboards using Amazon QuickSight for visualizing performance data, coaching progress, and competition standings.
• Create serverless workflows using AWS Lambda and API Gateway to automatically trigger coaching suggestions, performance alerts, and competition rule adjustments based on real-time data.
• Work with AWS Bedrock to integrate generative AI models for creating personalized quizzes, coaching strategies, and competition challenges.
• Ensure data privacy and security across all services, managing user access with AWS IAM and maintaining compliance with best practices (GDPR, SOC2, etc.).

Requirements:

• 5+ years of experience with AWS Cloud Services, particularly SageMaker, Kinesis, Glue, Lambda, Personalize, and QuickSight.
• Strong background in machine learning, including model training, optimization, and deployment using AWS SageMaker.
• Experience in building and managing real-time data pipelines using Kinesis and integrating large datasets using Glue or other ETL tools.
• Expertise in Natural Language Processing (NLP), with practical experience using Amazon Comprehend and Amazon Transcribe for sentiment and text analysis.
• Familiarity with AWS Bedrock and integrating generative AI models into real-world applications.
• Strong programming skills in Python and SQL.
• Experience with API development using API Gateway and Lambda for creating serverless, scalable APIs.
• Experience building real-time data visualizations and dashboards using Amazon QuickSight.
• Knowledge of data security best practices, including working with AWS IAM and compliance frameworks such as GDPR and SOC2.
• Strong analytical and problem-solving skills, with the ability to optimize performance and scale solutions.

Preferred Qualifications:

• Previous experience working in sales enablement or coaching platforms.
• Experience with DevOps tools such as CloudFormation or Terraform for automating infrastructure deployment and scaling.
• Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch) for advanced AI model building.

What We Offer:

• Competitive salary with performance-based bonuses.
• Remote work flexibility.
• Opportunity to work with cutting-edge AI and cloud technologies.
• A collaborative and innovative team environment.
• Opportunities for professional development and growth in the AI and ML space.

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.