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Lead Ii - Ai Engineer – Python/Ai-Ml

8 - 10 years
20 - 40 LPA
1 June 24, 2025
Job Description
Job Type: Full Time Education: B.Sc/ M.Sc/ B.E/ M.E./ B.Com/ M.Com/ BBA/ MBA/B.Tech/ M.Tech/ All Graduates Skills: Python, .net, React Native, Django, Javascript, HTML, CSS, Typescript, Communication Skills, Power Bi, Numpy Pandas, Sql, machine learning, Data Analysis, Coimbatore, Data Science, Java, Adobe XD, Figma, php, wordpress, Artificial Intelligence, Excel

Job Title: Lead AI Engineer – Python/AI-ML

Experience: 8+ Years
Location: Across UST Locations (Trivandrum listed)
Openings: 1


1. Must-Have Skills:

  1. Extensive hands-on experience in Python for AI/ML development.

  2. Proficiency with Keras, Pandas, and deep learning frameworks.

  3. Strong expertise in Generative AI and LLM architectures (e.g., GPT-3, BERT, T5).

  4. Proven experience leading end-to-end AI/ML solution design and implementation.

  5. In-depth knowledge of Time Series Forecasting, Predictive Analytics, and Deep Learning.

  6. Experience building data pipelines and infrastructure using Kafka, Big Data tools, Aurora DB, and ELK Stack.

  7. Experience deploying and optimizing ML models on cloud platforms (AWS, Azure, or GCP).

  8. Demonstrated leadership in guiding AI/ML teams, mentoring junior engineers, and defining best practices.

  9. Strong ability to collaborate with stakeholders and translate business needs into scalable AI solutions.


2. Good-to-Have Skills:

  1. Experience with PoC creation, model experimentation, and Generative AI validations.

  2. Familiarity with AI governance, ethical AI principles, and explainability frameworks.

  3. Knowledge of emerging trends and tools in the AI/ML space and ability to evaluate their strategic fit.

  4. Exposure to AI roadmap planning, tool selection, and platform scalability architecture.

  5. Experience in cross-functional leadership and influencing executive decision-making in AI strategy.


3. Technical Skills Summary:

  1. AI/ML Expertise: 5+ years of experience in AI, Machine Learning, and Generative AI.

  2. Programming: Python (4+ years), Keras (4+ years), Pandas (4+ years), FastAPI.

  3. Advanced ML Models: LangChain, GPT-3, GANs, Transformers (BERT, T5), LLMs.

  4. Analytical Models: Time Series Forecasting, Predictive Modelling.

  5. Databases: ChromaDB, Pinecone.

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