Data Scientist

Roles:

Design, build, and deploy scalable machine learning models for production environments.

Develop and maintain CI/CD pipelines to automate model training, testing, and deployment workflows.

Implement containerized ML solutions using Docker and orchestrate deployments via Kubernetes.

Work closely with cross-functional teams to productionize data science solutions and integrate them into business applications.

Perform data analysis, visualization, and communicate insights through dashboards and reports.

Maintain technical documentation for models, pipelines, and deployment architectures.

Monitor, optimize, and troubleshoot model performance and ML infrastructure.

Required Skills:

Strong Python skills for machine learning, data processing, and automation.

Hands-on experience with CI/CD tools (e.g., Jenkins, GitLab CI, or similar).

Practical experience with Docker and Kubernetes in ML or application deployment.

Working knowledge of databases such as MongoDB, PostgreSQL, or MySQL.

Solid understanding of machine learning algorithms, statistics, and model evaluation.

Strong data analysis and data visualization skills.

Exposure to Large Language Models (LLMs) and prompt engineering concepts.

Experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn.

Experience with cloud platforms (AWS or Azure) is an advantage.

Job Type: Full-time

Pay: ₹700,000.00 - ₹1,000,000.00 per year

Benefits:

• Health insurance
• Provident Fund

Experience:

• Data science: 2 years (Preferred)

Work Location: In person