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:
- 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.
MUST-HAVES:
- Education/qualification:Preferably from premier Institute like IIT, IISC, IIIT, NIT and BITS. Also regional tier 1 colleges.
- Doctorate (Academic) Degreeand 2 years related work experience; or Master's Level Degree and related work experience of 5 years; or Bachelor's Level Degree and related work experience of 7 years
- Min 5 yrs experience in the Mandatory Skills: Python, Deep Learning, Machine Learning, Algorithm Development and Image Processing
- 3.5 to 4 yrs proficiency with PyTorch or TensorFlow/Keras
- Candidates from engineering product companies have higher chances of getting shortlisted (current company or past experience)
