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AI ML Lead Engineer
AI ML Lead EngineerApptad • rajahmundry, andhra pradesh, in
AI ML Lead Engineer

AI ML Lead Engineer

Apptad • rajahmundry, andhra pradesh, in
18 hours ago
Job description

Technology Lead – 8+ yr of exp with 3+ yr of AI / ML relevant experience – Bengaluru / Hyderabad - Hybrid

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 master’s 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 : UK Shift (1pm IST to 10pm IST)
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