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Job Closed

AI/ML Lead

  • Source: LinkedIn
  • ValueMomentum
  • On-site
  • Hyderabad
  • Full-Time
  • Senior

Job Description

Job Title: AI/ML Lead

Job ID: POS-18617

Primary Skill: AWS Services

Key Skills: AI, ML, Generative AI, GitHub CoPilot, Prompt Engineering, Python

Mode of Work: Work From Office (4 Days)

Job Location: Hyderabad / Pune

Experience: 7 to 12 Years

About The Job We are looking for an experienced AI Engineer with a strong background Artificial Intelligence, Machine Learning, Generative AI, Coding Assistants, AI Assistants and Agile Software Development. The successful candidate will be responsible for every stage of AI, Generative AI development, from conceptualization and design to rigorous testing and successful deployment.

Know Your Team At ValueMomentum’s we are a team of passionate engineers who thrive on tackling complex business challenges with innovative solutions while transforming the P&C insurance value chain. We achieve this through strong engineering foundation and continuously refining our processes, methodologies, tools, agile delivery teams, and core engineering archetypes. Our core expertise lies in six key areas: Cloud Engineering, Application Engineering, Data Engineering, Core Engineering, Quality Engineering, and Domain expertise.

Join a team that invests in your growth. Our Infinity Program empowers you to build your career with role-specific skill development leveraging immersive learning platforms. You’ll have the opportunity to showcase your talents by contributing to impactful projects.

Responsibilities

  • Lead the design, development, and deployment of AI/ML and Generative AI solutions aligned with business objectives.
  • Drive end-to-end AI initiatives, collaborating with product, engineering, data science, and business stakeholders.
  • Architect scalable AI applications leveraging LLMs, RAG pipelines, Agentic AI frameworks, vector databases, and cloud-native services.
  • Provide technical leadership in Python, AI/ML frameworks, Prompt Engineering, LangChain, Semantic Kernel, AutoGen, and Azure OpenAI.
  • Define AI architectures, model selection strategies, data ingestion, embeddings, retrieval mechanisms, and optimization approaches.
  • Lead the development of AI Copilots, Coding Assistants, and intelligent automation solutions across enterprise use cases.
  • Establish best practices for prompt engineering, model evaluation, governance, responsible AI adoption, and solution quality.
  • Drive integration of AI services with enterprise applications using OpenAI, Azure OpenAI, APIs, Azure AI Search, and Cosmos DB.
  • Ensure solution scalability, security, reliability, performance, and cost optimization through cloud-native and CI/CD practices.
  • Mentor engineering teams through architecture reviews, code reviews, technical coaching, and AI adoption initiatives.
  • Evaluate emerging AI, LLM, and Agentic AI technologies and translate them into business value.
  • Partner with leadership to define AI roadmaps, manage risks, and deliver measurable business outcomes.

Requirements

  • Hands-on Experience in either of the following programming languages – Python /C# / Java/ JavaScript
  • AI-centric libraries like TensorFlow, PyTorch, Keras
  • Deep proficiency with AI/ML frameworks and libraries including TensorFlow, PyTorch, and Keras, with the ability to architect scalable training and inference pipelines.
  • Strong command of Cloud & MLOps platforms, such as AWS SageMaker, Azure Machine Learning, Google AI Platform, including experience building automated model deployment, monitoring, and retraining pipelines.
  • Expertise in generative models such as generative adversarial networks (GANs), variational autoencoders (VAEs)
  • Hands-on Experience in using Coding Assistants – GitHub Copilot, Codium, ChatGPT
  • Hands-on Experience in using Agentic AI Platforms – Microsoft Copilot Agents, AutoGPT, CrewAI, Anthropic Claude etc
  • Experience with cloud platforms like AWS, Azure, GCP
  • Provide direction, mentorship for junior AI engineers in all projects related aspects
  • Participate & perform code reviews of Generative AI, AI Components & Codebase
  • Strong problem-solving skills with the ability to quickly identify the root cause of Java application incidents and perform effective troubleshooting.
  • Excellent verbal and written communication skills for interacting with both technical teams and business stakeholders.

Good To Have

  • Experience in developing, managing products/solutions using .NET Platform / Java Platfo…

Skills

  • amazon-web-services
  • Github
  • gitHub-copilot
  • Python
  • mode
  • infinity
  • LangChain
  • microsoft-azure
  • azure-search
  • azure-cosmos-db
  • c-sharp
  • Java
  • javascript
  • Tensorflow
  • PyTorch
  • Keras
  • amazon-sagemaker
  • amazon-machine-learning
  • azure-machine-learning
  • google-ai-platform
  • chatgpt
  • crewai
  • google-cloud-platform
  • classic-asp
  • Jenkins
  • gitlab
  • gitlab-ci
  • Docker
  • Kubernetes
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