Lead AI Engineer/Analyst - Python/LLM

Job Description/Preferred Qualifications :

Required skills/Competencies :

Programming Languages :

- Strong in Python, data structures, and algorithms.

- Hands-on with NumPy, Pandas, Scikit-learn for ML prototyping.

Machine Learning Frameworks :

- Understanding of supervised/unsupervised learning, regularization, feature engineering, model selection, cross-validation, ensemble methods (XGBoost, LightGBM).

Deep Learning Techniques :

- Proficiency with PyTorch or TensorFlow/Keras

- Knowledge of CNNs, RNNs, LSTMs, Transformers, Attention mechanisms.

- Familiarity with optimization (Adam, SGD), dropout, batch norm.

LLMs & RAG :

- Hugging Face Transformers (tokenizers, embeddings, model fine-tuning).

- Vector databases (Milvus, FAISS, Pinecone, ElasticSearch).

- Prompt engineering, function/tool calling, JSON schema outputs.

Data & Tools :

- SQL fundamentals; exposure to data wrangling and pipelines.

- Git/GitHub, Jupyter, basic Docker.

What are we looking for? :

- Solid academic foundation with strong applied ML/DL exposure.

- Curiosity to learn cutting-edge AI and willingness to experiment.

- Clear communicator who can explain ML/LLM trade-offs simply.

- Strong problem-solving and ownership mindset.

Minimum Qualifications :

Education/qualification :

- Preferably from premier Institute like IIT, IISC, IIIT, NIT and BITS. Also regional tier 1 colleges.

- Doctorate (Academic) Degree and 2 years related work experience;

- Master's Level Degree and related work experience of 5 years;

- Bachelor's Level Degree and related work experience of 7 years in building AI systems/solutions with Machine Learning, Deep Learning, and LLMs.