Total 8 job vacancies by Nagarro

REQUIREMENTS:

• Experience: 5+ Years
• Proven experience in generative AI, with a focus on LangChain, RAG (Retrieval-Augmented Generation) techniques.
• Proficiency with OpenAI models and frameworks (e.g., GPT-3, GPT-4, Codex).
• Strong background in working with open-source AI models and tools (e.g., TensorFlow and Hugging Face).
• Solid understanding of machine learning algorithms, natural language processing, and neural network architectures.
• Experience with any cloud platforms and services (e.g., AWS, Google Cloud, Azure) for AI model deployment and scaling.
• Proficient in programming languages such as Python, with experience in developing and deploying AI solutions.
• Excellent problem-solving skills, with a creative and analytical mindset.
• Strong communication and teamwork skills.
• Experience with AI ethics and responsible AI practices.
• Familiarity with other generative AI techniques such as GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders).
• Contributions to AI research publications or open-source projects.

RESPONSIBILITIES:

• Understanding the client’s business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements.
• Mapping decisions with requirements and be able to translate the same to developers.
• Identifying different solutions and being able to narrow down the best option that meets the client’s requirements.
• Defining guidelines and benchmarks for NFR considerations during project implementation
• Writing and reviewing design document explaining overall architecture, framework, and high-level design of the application for the developers
• Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed.
• Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it
• Understanding and relating technology integration scenarios and applying these learnings in projects
• Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken.
• Carrying out POCs to make sure that suggested design/technologies meet the requirements.

REQUIREMENTS:

• Experience: 13+ Years
• Hands-on years of professional experience in machine learning, with a proven track record of delivering impactful solutions in NLP, machine vision, and AI.
• Strong expertise in client interaction and the ability to understand and address client needs effectively.
• Advanced knowledge of cloud architecture, particularly on Azure.
• Proficiency in machine learning on Azure, including the use of Azure ML services.
• Expertise in NLP concepts and techniques, such as tokenization, word embeddings, sequence modeling, attention mechanisms, and transfer learning.
• Strong programming skills in Python and proficiency in deep learning frameworks like TensorFlow, PyTorch, or JAX, as well as machine learning libraries like scikit-learn.
• Practical experience with Generative AI frameworks, including GANs, VAEs, prompt engineering, and retrieval-augmented generation (RAG).
• Strong understanding of MLOps principles and tools, with experience in implementing CI/CD pipelines, model monitoring, and automated deployment in production environments.
• Excellent communication and collaboration skills, with the ability to work effectively in a team environment and interact with stakeholders at all levels.
• Extensive experience with computer vision algorithms and techniques, and familiarity with frameworks such as OpenCV, TensorFlow, or PyTorch for image processing and analysis.

RESPONSIBILITIES:

• Understanding the client’s business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements.
• Mapping decisions with requirements and be able to translate the same to developers.
• Identifying different solutions and being able to narrow down the best option that meets the client’s requirements.
• Defining guidelines and benchmarks for NFR considerations during project implementation
• Writing and reviewing design document explaining overall architecture, framework, and high-level design of the application for the developers
• Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed.
• Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it
• Understanding and relating technology integration scenarios and applying these learnings in projects
• Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken.
• Carrying out POCs to make sure that suggested design/technologies meet the requirements.

REQUIREMENTS:

• Experience: 5+ Years
• Proficiency in ChatGPT and other large language models.
• Expertise in neural networks and traditional machine learning algorithms.
• Advanced knowledge of machine learning algorithms applicable to AGI, including meta-learning, transfer learning, and neuro-evolution.
• Experience in deep learning architectures, such as RNNs, CNNs, and attention mechanisms.
• Proficiency in reinforcement learning algorithms and techniques.
• Understanding of cognitive science principles and cognitive modeling.
• Experience in developing multi-agent systems.
• Familiarity with symbolic AI techniques.
• Knowledge of AGI safety and alignment principles.
• Experience with AGI development frameworks like OpenAI’s GPT.
• Understanding of meta-learning and self-improvement techniques.
• Awareness of ethical considerations in AGI development.
• Knowledge of AGI governance and policy.
• Experience in human-AI collaboration.
• Ability to develop AGI evaluation metrics and benchmarks.
• Track record of AGI research and innovation.
• Strong foresight and strategic thinking skills.

RESPONSIBILITIES:

• Understanding the client’s business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements.
• Mapping decisions with requirements and be able to translate the same to developers.
• Identifying different solutions and being able to narrow down the best option that meets the client’s requirements.
• Defining guidelines and benchmarks for NFR considerations during project implementation
• Writing and reviewing design document explaining overall architecture, framework, and high-level design of the application for the developers
• Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed.
• Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it
• Understanding and relating technology integration scenarios and applying these learnings in projects
• Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken.
• Carrying out POCs to make sure that suggested design/technologies meet the requirements.

LOCATIONS: Gurgaon/ Noida/ Pune/ Jaipur/ Bangalore/ Hyderabad

REQUIREMENTS:

• Experience: 6+yrs
• Senior ML Engineer with experience in GCP, Azure, and OpenAI, to lead client engagements in Google Gemini and prompt engineering, advising on the best solutions to achieve business goals along with extensive experience with Python, Gemini, and OpenAI, having implemented at least one significant project on OpenAI.
• Expertise in any chatbot technology is a significant advantage.
• Knowledge of high-quality professional software engineering practices for agile software development cycle, including coding standards, code reviews, source control management, build processes, testing, and deployment.
• Fundamental knowledge of design patterns
• Experience in communicating effectively with users, other technical teams, and management to collect requirements, describe software product features, and technical designs.
• Passionate about building great solutions.
• Mentoring the team members to meet the client's needs and holding them accountable for high standards of delivery.
• Being able to understand and relate technology integration scenarios and be able to apply these learnings in complex troubleshooting scenarios.

RESPONSIBILITIES:

• Writing and reviewing great quality code
• Understanding functional requirements thoroughly and analysing the client’s needs in the context of the project
• Envisioning the overall solution for defined functional and non-functional requirements, and being able to define technologies, patterns, and frameworks to realize it.
• Determining and implementing design methodologies and tool sets
• Enabling application development by coordinating requirements, schedules, and activities.
• Being able to lead/support UAT and production roll outs.
• Creating, understanding, and validating WBS and estimated effort for given module/task, and being able to justify it.
• Addressing issues promptly, responding positively to setbacks and challenges with a mindset of continuous improvement
• Giving constructive feedback to the team members and setting clear expectations.
• Helping the team in troubleshooting and resolving of complex bugs
• Coming up with solutions to any issue that is raised during code/design review and being able to justify the decision taken.
• Carrying out POCs to make sure that suggested design/technologies meet the requirements.