Data Scientist (India)

Codvo Private Limited; India; On-site; INR 1,000,000 - 1,800,000; Full time

Job summary

A technology company in India is looking for an experienced Data Scientist to join their team. The ideal candidate will have over 5 years of experience in applying Machine Learning and Deep Learning techniques to solve real business problems. Responsibilities include designing and implementing ML pipelines, collaborating with cross-functional teams, and ensuring code quality. Strong programming skills in Python and familiarity with ML libraries like TensorFlow and PyTorch are required. This position offers a dynamic environment focused on innovation.

Qualifications

• 5+ years of experience applying Machine Learning to real-world business/customer problems.
• Strong programming skills in Python and experience with ML libraries.
• Solid foundations in Deep Learning with hands-on experience in neural network design.

Responsibilities

• Design and implement end-to-end ML pipelines including data ingestion and model deployment.
• Develop and experiment with Deep Neural Network architectures for various use cases.
• Translate ambiguous business requirements into clear technical solutions.

Skills

Machine Learning

Deep Learning

Python

scikit-learn

pandas

numpy

TensorFlow

PyTorch

Keras

CI/CD

Git

Job description

Data Scientist Job Description

Company: Codvo

Job Title: Data Scientist

Experience: 5+ years

About the Role

We are seeking a highly skilled Data Scientist with a strong background in Machine Learning and Deep Learning to join our team. The ideal candidate will have experience applying advanced ML techniques to solve real-world business and customer problems, and will be comfortable working with large, complex datasets.

Key Responsibilities

• Design and implement end-to-end ML pipelines, including data ingestion, cleaning, feature engineering, model training, deployment, and monitoring.
• Develop and experiment with Deep Neural Network architectures for various business use cases.
• Translate ambiguous business requirements into clear technical solutions and communicate insights effectively to both technical and non-technical stakeholders.
• Work with large datasets for acquisition, preprocessing, and analysis.
• Ensure code quality and maintainability by following software engineering best practices.
• Collaborate with cross-functional teams to integrate ML solutions into production systems.
• Utilize CI/CD, version control (Git), and automated testing in ML projects.

Required Skills & Qualifications

• 5+ years of experience applying Machine Learning to real-world business/customer problems.
• Strong programming skills in Python and experience with ML libraries such as scikit-learn, pandas, numpy, TensorFlow, PyTorch, and Keras.
• Solid foundations in Deep Learning with hands‑on experience in designing and deploying neural network architectures.
• Experience building robust ML pipelines and deploying models in production environments.
• Strong understanding of software engineering principles for maintainable and testable codebases.
• Ability to communicate technical concepts clearly to diverse audiences.
• Experience with CI/CD, Git, and automated testing in ML workflows.

Nice to Have

• Exposure to cloud platforms (AWS, GCP, Azure) for ML deployment.
• Familiarity with MLOps tools and frameworks.