Data Scientist (India)

Codvo.ai; Pune District; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

A leading tech company in Pune District is seeking an experienced Data Scientist with 5+ years in Machine Learning and Deep Learning. The ideal candidate will design and implement end-to-end ML pipelines, develop Deep Neural Networks, and translate business requirements into technical solutions. Proficient programming in Python and ML libraries is essential. This role offers an opportunity to work with large datasets and collaborate across teams to integrate ML solutions into production systems.

Qualifications

• 5+ years of experience applying Machine Learning to real-world business/customer problems.
• Strong programming skills in Python with experience in ML libraries.
• 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.

Responsibilities

• Design and implement end-to-end ML pipelines.
• Develop and experiment with Deep Neural Network architectures.
• Translate business requirements into technical solutions.
• Maintain code quality by following best practices.
• Collaborate with cross-functional teams for ML integration.

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.