Staff Engineer, Data Science

REQUIREMENTS :

Total experience 7 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 clients 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.

Remote Work : Yes

Employment Type : Full-time

Key Skills

Computer Science,Docker,Kubernetes,Python,VMware,C / C++,Go,System Architecture,gRPC,OS Kernels,Perl,Distributed Systems

Department / Functional Area : Engineering

Experience : years

Vacancy : 1