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.
- Solid problem-solving and ownership mindset.

Minimum Qualifications

Doctorate (Academic) Degree and 2 years related work experience; Masters Level Degree and related work experience of 5 years; Bachelors Level Degree and related work experience of 7 years in building AI systems/solutions with Machine Learning, Deep Learning, and LLMs.

📌 Lead Analyst, AI Engineer (Data Science) (Chennai)
🏢 Cephas Consultancy Services
📍 Chennai