- Total experience 6+ years.

- Must have experience in Data Science Fundamentals, Data Analysis & Visualization, Statistics & Probability, SQL, Model Packaging & Deployment.

- Strong understanding of statistical concepts and techniques, and experience applying them to real-world problems.

- Must have experience in prompt engineering, RAG & Generative AI.

- Should have experience in Python or R for Data Science.

- Should have experience in Classification-regression, Forecasting, Unsupervised Models, Recommendation Systems, Natural Language processing & Optimization.

- Strong working experience in machine learning, with a proven track record of delivering impactful

- Strong programming skills in Python, and proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX, as well as machine learning libraries such as scikit-learn.

- Should have experience in Data science on AWS/Azure/GCP.

- Strong troubleshooting skills in different disparate technologies and environments.

- Should be enthusiastic about different areas of work and exploring new technologies.

- Should have clarity of thought and strong communication skills to effectively pitch solutions.

- Must have ability to explore and grasp new technologies.

- Must be capable of mentoring team members in projects and helping them keep up with new technologies.

- Should be empowering the team members to be solution providers and enable a flat environment where everyones point of view is considered, and feedback is encouraged.

RESPONSIBILITIES :

- Writing and reviewing great quality code.

- Understanding functional requirements thoroughly and analyzing the client's needs in the context of the project.

- Envisioning the overall solution for defined functional and non-functional requirements, and being able to define technologies, patterns and frameworks to realize it.

- Determining and implementing design methodologies and tool sets.

- Enabling application development by coordinating requirements, schedules, and activities.

- Being able to lead/support UAT and production roll outs.

- Creating, understanding and validating WBS and estimated effort for given module/task, and being able to justify it.

- Addressing issues promptly, responding positively to setbacks and challenges with a mindset of continuous improvement.

- Giving constructive feedback to the team members and setting clear expectations.

- Helping the team in troubleshooting and resolving of complex bugs.

- Coming up with solutions to any issue that is raised during code/design review and being able to justify the decision taken.

- Carrying out POCs to make sure that suggested design/technologies meet the requirements

Qualifications :

- Bachelors or masters degree in computer science, Information Technology, or a related field.