Technology Lead AI/ML -C2H/Contract To Hire

Role & responsibilities

Preferred candidate profile

Roles & Responsibilities:

• Design and develop cutting-edge AI and ML solutions that address business challenges.
• Lead end-to-end AI development lifecycle, from problem definition, data collection to model deployment and maintenance.
• Collaborate with cross-functional teams to understand and analyze business requirements and translate them into AI solutions.
• Research and stay up to date with the latest AI and ML technologies and best practices.
• Mentor and provide guidance to junior AI developers on the team.
• Conduct code reviews and ensure code quality, scalability, and performance of AI applications.
• Collaborate with data scientists and engineers to preprocess and prepare data for AI models.
• Evaluate and select appropriate AI and ML algorithms for specific tasks.
• Develop and deploy AI models in a production environment and monitor their performance.
• Ensure data privacy and security measures are implemented in AI solutions.

Requirements / Qualifications

• Education

  : Bachelor's or masters in computer science, Data Science, AI, or related field.

• Experience

  : 8+ years of overall IT experience with at least

  3+ years in AI/ML, GenAI, or LLM-based solution development

  .

• Programming

  : Strong skills in

  Python

  (Java or similar is a plus).

Generative AI Skills

• Large Language Models (LLMs) and

  prompt engineering

  .

• RAG (Retrieval-Augmented Generation) pipelines

  design and optimization.
• Integration with

  Vector Databases

  (e.g., Pinecone, Weaviate, FAISS, Milvus).

• Agentic frameworks

  such as

  LangChain, LangGraph, LlamaIndex

  , and other orchestration tools.

• Chunking strategies & embeddings optimization

  for knowledge-intensive applications.

• Chatbot development

  , conversational AI, and enterprise Q&A assistants.

• Text-to-SQL models

  , natural language querying over structured/unstructured data.

• PDF/document data extraction

  pipelines and advanced context retrieval.

• Advanced RAG techniques

  (e.g., query rewriting, multi-vector retrieval, reranking).
• Fine-tuning, prompt-tuning, or parameter-efficient tuning of LLMs.

Web/UI basics

• Knowledge of HTML, CSS, or React components for simple UI design to integrate GenAI applications.
• Experience with

  Flask or FastAPI

  for building and deploying AI/ML microservices & APIs.

• Data Processing

  : Pandas, NumPy for preprocessing and manipulation.

• Visualization

  : Matplotlib, Seaborn (for insights/debugging AI workflows).

• Databases

  : SQL & NoSQL; expertise in integrating LLMs with enterprise knowledge bases.

• Version Control

  : Git and collaborative code workflows.

• Proven experience

  in taking

  3+ GenAI/AI POCs into production

  successfully.
• Strong programmatic and architectural skills for building scalable, production-ready

  GenAI applications

  .
• Ability to evaluate, benchmark, and integrate

  open-source and API-based LLMs

  (OpenAI, Anthropic, Cohere, LLaMA, Mistral, etc.).
• Excellent problem-solving, solutioning, and debugging abilities in

  fast-paced, evolving AI environments

  .
• Strong communication and leadership skills for guiding teams and partnering with business stakeholders.

Nice to have:

• Cloud Platforms: AWS, Azure, GCP with specific knowledge of

  EC2, Lambda, S3

• Deployment knowledge

  : Basic understanding of application deployment using Docker, REST APIs, or CI/CD pipelines.
• Familiarity with

  agent memory management

  and

  autonomous AI agents

  .
• Knowledge of

  multimodal models

  (text, image, audio).
• Awareness of

  AI safety, compliance, ethics, and responsible AI practices

  .

Shift Timings: