Job Description

Job Role: Data Scientist

Work mode: Remote

Total experience: 6+yrs only/-

REQUIREMENTS:

• Total experience 6+ years.

• Strong working experience in Python.

• Hands on working knowledge of the DS/ML stack (NumPy, Pandas, SciPy, Scikit learn, TensorFlow, PyTorch).

• Working experience in SQL.

• Hands-on experience with cloud-based data handling and ML workflows (Google Cloud preferred).

• Experience in building microservice APIs for ML solutions.

• Exposure to model monitoring technologies.

• Experience with deploying ML solutions at scale (Kubeflow, VertexAI, Airflow, PySpark).

• Proficiency with data visualization libraries (matplotlib, seaborn, plotly, etc.)

• Excellent communication and collaboration skills for working across global teams.

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