
Lead Analyst, AI Engineer(Data Science)
at Global Leader in Diversified Electronics



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) 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)
QUESTIONNAIRE:
Do you have at least 5 years of experience with Python, Deep Learning, Machine Learning, Algorithm Development, and Image Processing? Please mention the skills and years of experience:
Do you have experience with PyTorch or TensorFlow / Keras?
- PyTorch
- TensorFlow / Keras
- Both
How many years of experience do you have with PyTorch or TensorFlow / Keras?
- Less than 3 years
- 3 to 3.5 years
- 3.5 to 4 years
- More than 4 years
Is the candidate willing to relocate to Chennai?
- Ready to relocate
- Based in Chennai
What type of company have you worked for in your career?
- Service-based IT company
- Product company
- Semiconductor company
- Hardware manufacturing company
- None of the above

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DataWeave provides Retailers and Brands with “Competitive Intelligence as a Service” that enables them to take
key decisions that impact their revenue. Powered by AI, we provide easily consumable and actionable
competitive intelligence by aggregating and analyzing billions of publicly available data points on the Web to
help businesses develop data-driven strategies and make smarter decisions.
Products@DataWeave
We, the Products team at DataWeave, build data products that provide timely insights that are readily
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businesses take data driven decisions everyday. We also give them insights for long term strategy. We are
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It's hard to tell what we love more, problems or solutions! Every day, we choose to address some of the hardest
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serious scale! Read more on Become a DataWeaver
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