Senior Data Scientist - Deep Learning/Machine Learning

Job Description :

- Provide hands-on data science and AI expertise to design, build, and deliver scalable ML, deep learning, and Agentic/Generative AI solutions.

- Work extensively with tabular data to build predictive models, perform feature engineering, and optimize model performance.

- Apply conventional machine learning techniques (e.g., regression, classification, clustering, ensemble methods) along with deep learning approaches.

- Build and optimize deep learning models for structured and unstructured data, including text, video and audio.

- Work on audio data use cases such as classification, recognition, and signal processing tasks (where applicable).

- Translate business problems into well-defined ML/AI problem statements and deliver actionable insights.

- Support deployment of production-grade models with focus on scalability, efficiency, and maintainability.

- Mentor junior data scientists and interns through knowledge sharing and technical guidance.

- Contribute thought leadership in areas such as predictive modelling, customer segmentation, reporting & analysis, and data processing.

What are we looking for :

Qualification Requirements :

Educational :

- Bachelors degree in computer science, Engineering, Statistics, Mathematics, or a related quantitative field with at least 4 -7 years of experience in Data Science/ML/AI.

Technical :

- Proven expertise working with large-scale tabular data and building machine learning models.

- Strong knowledge of conventional ML algorithms (tree-based models, SVMs, clustering, etc.).

- Hands-on experience with deep learning frameworks such as TensorFlow / PyTorch.

- Mandatory expertise in LLMs, SLMs, and Generative AI, including fine-tuning, prompt engineering, and deployment.

- Proficiency in Python and libraries such as scikit-learn, pandas, NumPy.

- Exposure to model deployment frameworks and tools (ONNX, Triton, TensorRT, FastAPI, etc.).

- Familiarity with cloud platforms (Azure/GCP) for training and deploying ML solutions.

- Experience with Databricks is a plus.

- Strong understanding of MLOps practices, reproducibility, and model monitoring.

Other :

- Excellent written and verbal communication skills in English.

- Demonstrated experience working collaboratively in cross-functional teams.

- Ability to balance research and production priorities while meeting deadlines.

- Passionate about applying AI/ML to solve diverse real-world problems, especially at the intersection of GenAI and enterprise AI adoption.