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AI Lead Engineer
AI Lead EngineerTekGenio • ajit, India
AI Lead Engineer

AI Lead Engineer

TekGenio • ajit, India
1 day ago
Job description

AI Lead Engineer

Experience : 5+ Years | Type : Full-Time | Location : WFH

Requirements :

  • Minimum of 5+ years of experience in AI / ML engineering, data science, or algorithm development.-
  • Strong experience in machine learning, deep learning, NLP, or computer vision.
  • Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, and scikit-learn.
  • Experience with cloud platforms (AWS / GCP / Azure) and MLOps tools (Docker, Kubernetes, MLflow).
  • Solid understanding of algorithms, data structures, statistics, and optimization techniques.
  • Excellent written and verbal communication skills.
  • Strong problem-solving, analytical, and leadership capabilities.
  • Degree in Computer Science, Data Science, AI / ML, Engineering, or a related field.

Preferred (GenAI & LLM Experience) :

  • Experience with Generative AI and Large Language Models (LLMs), including fine-tuning, evaluation, and deployment.
  • Knowledge of prompt engineering and agentic workflows.
  • Familiarity with GenAI frameworks such as LangChain, LangGraph, LlamaIndex, Langfuse, CrewAI.
  • Understanding of RAG pipelines and vector databases such as Pinecone, FAISS, Chroma, OpenSearch.
  • Exposure to model optimization techniques like quantization (INT4 / GPTQ) and inference acceleration.
  • Responsibilities :

  • Familiarize yourself with all AI / ML products, tools, and platforms used within the company.
  • Lead the design and development of scalable algorithms and machine learning models.
  • Develop and execute technical strategies and roadmaps aligned with business goals.
  • Build, train, test, and optimize ML and deep learning models for various use cases.
  • Identify, qualify, and propose AI / ML solutions to solve business challenges.
  • Collaborate with product managers, engineers, and stakeholders for requirement gathering and solution delivery.
  • Conduct research on emerging AI techniques and integrate relevant advancements.
  • Oversee deployment, monitoring, and performance tuning of models in production.
  • Provide mentorship to junior engineers and enforce technical best practices.
  • Maintain documentation related to models, datasets, architectures, and workflow processes.
  • Provide regular progress updates to the leadership team.
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