Lead Analyst, AI Engineer (Data Science)
ConfidentialVadodara, India5 days ago
Job descriptionUnderstanding of supervised / unsupervised learning, regularization, feature engineering, model selection, cross-validation, ensemble methods (XGBoost, LightGBM). Proficiency with PyTorch or TensorFlow / Keras Knowledge of CNNs, RNNs, LSTMs, Transformers, Attention mechanisms. Familiarity with optimization (Adam, SGD), dropout, batch norm. Hugging Face Transformers (tokenizers, embeddings, model fine-tuning). Vector databases (Milvus, FAISS, Pinecone, ElasticSearch). Prompt engineering, function / tool calling, JSON schema outputs. SQL fundamentals; exposure to data wrangling and pipelines. Git / GitHub, Jupyter, basic Docker. 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. 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. 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; 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)
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 :
Deep Learning Techniques :
LLMs & RAG :
Data & Tools :
WHAT ARE WE LOOKING FOR
MINIMUM QUALIFICATIONS :
MUST-HAVES :
Skills Required
Github, Elasticsearch, Tensorflow, Numpy, Pytorch, Docker, XGBoost, Python, Sql, ADAM, Git, Pandas, Transformers, Keras
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Data Science Engineer • Vadodara, India
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