AI/ML Lead

Job Title:
AI/ML Lead

Job ID:
POS-16044

Primary Skill:
AWS Services

Location:
Hyderabad

Experience:
9.00

Secondary Skills:
GenAI, Langchain,LLMs, and RAG

Job Location:
Hyderabad

Mode of Work:
Work From Office

Experience
:
7-12 Years

About The Job
We are seeking an AI Architect to join their team in Erie, PA. We are looking for a senior data scientist/agentic AI architect with heavy ML/MLops experience (strong Python) who can evaluate and implement models that are provided by the enterprise and act as Lead Engineer. We are really searching for someone who can analyze the models and select which model can be used for which situation. The Senior/Lead ML Engineer will need deep ML knowledge but will not be building models from scratch, but potentially making them more efficient, implementing them, analyzing them and assisting with metrics and future plans with a focus on agentic AI (workflows).

Know Your Team
At ValueMomentum's Technology Solution Centers, 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 a strong engineering foundation and by continuously refining our processes, methodologies, tools, agile delivery teams, and core engineering archetypes. Our core expertise lies in six key areas:
Platforms, Infra/Cloud, Application, Data, Core, and Quality Assurance
.

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 and development of an Agentic AI platform
• Architect and implement core systems for agent-based AI workflows
• Design and deploy LLM-based pipelines, agent orchestration, and vector-based memory systems,
• Develop and optimise ML models, pipelines, and orchestration logic
• Ensure the integration and compatibility of network, IDAM (Identity and Access Management), Active Directory, key vaults, and other security-related components within the self-service platform.
• Provide technical leadership and guidance to development teams on leveraging the self-service platform for their AI-based initiatives.
• Collaborate with stakeholders to define key performance indicators (KPIs) and establish metrics for measuring the effectiveness and adoption of the self-service platform with improved developer experience.
• Stay abreast of industry trends, best practices, and regulatory requirements related to cloud computing, DevOps, network, security, and platform modernisation.

Requirements

• Bachelor's / master's degree in computer science, Engineering, or a related field (or equivalent work experience).
• Programming Languages: Proficiency in Python is essential.
• Agentic AI : Expertise in LangChain/LangGraph, CrewAI, Semantic Kernel/Autogen and Open AI Agentic SDK
• Machine Learning Frameworks: Experience with TensorFlow, PyTorch, Scikit-learn, and AutoML; Deep expertise in machine learning, system architecture, and AI agent frameworks to build scalable, autonomous systems
• Generative AI: Hands-on experience with generative AI models, RAG architecture, and Natural Language Processing (NLP)
• Cloud Platforms: Familiarity with AWS
• Data Engineering: Proficiency in data preprocessing and feature engineering
• Version Control: Experience with GitHub for version control
• Data Science Practices: Skills in building models, testing/validation, and deployment
• Collaboration: Experience working in an Agile framework
• RAG Architecture: Experience with data ingestion, data retrieval, and data generation using optimal methods such as hybrid search
• Understanding of AWS services such as EC2, S3, VPC, IAM, Lambda, API Gateway, and others.
• Knowledge in infrastructure as code (IaC) tools such as Terraform,.
• Understanding of cloud security best practices, compliance standards, and governance frameworks.
• Experience with containerization technologies (e.g., Docker, Kubernetes) and serverless computing.
• Experience with DevOps practices, including CI/CD pipelines, configuration management, and automated testing.
• Experience in network architecture, IDAM (Identity and Access Management), Active Directory, key vaults, and other network and security-related components.
• Excellent problem-solving skills and the ability to troubleshoot complex issues in distributed systems.
• Effective communication and collaboration skills, with the ability to effectively interact with stakeholders at all levels.

About The Company
ValueMomentum is a leading solutions provider for the global property and casualty insurance industry. The company helps insurers stay ahead with sustained growth and high performance, enhancing stakeholder value and fostering resilient societies. Having served over 100 insurers, ValueMomentum is one of the largest services providers exclusively focused on the insurance industry.

Benefits
We at ValueMomentum offer you a congenial environment to work and grow in the company of experienced professionals. Some benefits that are available to you are:

• Competitive compensation package.
• Career Advancement: Individual Career Development, coaching and mentoring programs for professional and leadership skill development.
• Comprehensive training and certification programs.
• Performance Management: Goal Setting, continuous feedback and year-end appraisal. Reward & recognition for the extraordinary performers.