TVARIT - Senior Data Scientist - Machine Learning (5-10 yrs)

Job Description :

We are looking for a highly skilled and motivated Senior Data Scientist who is passionate about solving complex data problems and developing cutting-edge solutions.

This role requires someone with a strong technical background in data science, with full-stack development exposure from requirement gathering to solution deployment.

The ideal candidate will be comfortable working as an individual contributor and as an active team member.

Responsibilities :

- Build, optimize, and deploy scalable data models and machine learning pipelines.

- Collaborate with cross-functional teams to design, develop, and deploy data-driven solutions.

- Understands business problems and processes based on direct conversations with customers, can see the big picture, and translate that into specific solutions.

- Conduct exploratory data analysis and feature engineering for large datasets.

- Write clean, efficient, and maintainable Python code for data processing and analysis.

- Develop APIs and integrate machine learning models into production systems.

- Work on cloud platforms (AWS, Azure, or GCP) to deploy and monitor models.

- Actively participate in team discussions, code reviews, and knowledge-sharing sessions.

- Manage client discussions actively and Present findings and recommendations to stakeholders clearly and compellingly.

Requirements : 5+ years of experience in data science, and machine learning.

Technical Skills :

- Strong Python programming skills with experience in libraries like NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch.

- Full-stack development experience (e., backend development, REST APIs, front-end integration).

- Proficiency in cloud platforms such as AWS, Azure, or GCP.

- Hands-on experience with SQL and NoSQL databases.

- Understanding of MLOps principles and tools for model versioning, monitoring, and deployment.

- Familiarity with Kubernetes core concepts like pods, deployments, services, and ingress.

- Knowledge of deep learning architectures and techniques for computer vision, NLP, and generative AI.

- Excellent problem-solving and analytical skills.

- Strong communication skills and the ability to collaborate in a team environment.

- Ability to work in a fast-paced, agile environment and adapt to changing priorities