Data Science Engineer
Recruise India Consulting (company site, opens in a new tab)HyderabadOn-siteDirect career pageEst. 12–22 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and validate robust, scalable, and explainable ML and deep learning models using frameworks like scikit-learn, PyTorch, and TensorFlow.
- Drive adoption of Generative AI and Large Language Model (LLM) solutions including model alignment and prompt engineering.
- Collaborate with cross-functional teams to translate business problems into technical solutions and contribute to code reviews and mentorship.
Minimum Requirements
- Bachelor’s or Master’s degree in Computer Science, Statistics, Applied Mathematics, or related field.
- Hands-on experience with machine learning algorithms including decision trees, ensembles, SVMs, neural networks, clustering, and NLP.
- Proficiency in deep learning architectures such as CNNs, RNNs, Transformers, and LSTMs.
- Advanced Python programming skills with experience in libraries like NumPy, pandas, scikit-learn, PyTorch, TensorFlow, and HuggingFace.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Strong statistical and mathematical rigor with understanding of hypothesis testing, regression, bias-variance trade-off, regularization, and model validation.
- Practical knowledge and experience with Generative AI and LLMs including fine-tuning, embeddings, and prompt engineering.
- Familiarity with cloud platforms, ML pipelines, containerization, and version control preferred but not mandatory in Minimum Requirements.