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 / KerasKnowledge 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 :
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.(ref : hirist.tech)