Sr. Data Scientist - Machine Learning Operations (MLOps) Job

Key Skills

Apache Airflow, AWS, Azure, Cloud computing, Containerization, Continuous Integration & Continuous Delivery - CI/CD, Data science techniques, Databricks, Dataiku, Github, GitLab, Machine learning techniques, MLflow, MLOps tools, Optimization, Python Programming, R Programming

Job Description

YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation.

At YASH, we’re a cluster of the brightest stars working with cutting-edge technologies. Our purpose is anchored in a single truth – bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future.

We are looking forward to hire Machine Learning Operations (MLOps) Professionals in the following areas :

Experience: 5-8 Years

Job Description

• Design and implement cloud solutions, build MLOps on cloud (Azure, AWS)
• Build CI/CD pipelines orchestration by GitLab CI, GitHub Actions, Circle CI, Airflow or similar tools
• Data science model review, run the code refactoring and optimization, containerization, deployment, versioning, and monitoring of its quality
• Data science models testing, validation and tests automation
• Communicate with a team of data scientists, data engineers and architect, document the processes
• Experience with large dataset processing, querying and creating descriptive and diagnostic Dashboards and Reports
• Experience in leading and implementing complex data science projects
• Developed a state-of-the-art Data Science and ML runtime stack in a multi-cloud environment
• Convert proof of concepts to production-grade solutions that is scalable
• Devise and strategies to ensure ML heavy systems operate with high accuracy in Production and adapt to discovered needs
• Research and implement best practices to improve existing Machine Learning infrastructure
• Perform research and rapid iterations of development to refine posed problems and identify potential solutions
• Experience with various classifications of data including Personally Identifiable Information (PII) and access, audit, and compliance/governance of same.

Primary Skills

• Python, R, DataIku, Azure DataBricks, Azure data factory, Azure ML services
• ML flow, Model monitoring platforms like Fiddler
• Azure DevOps, Azure Web App, Data Robot, Azure Event Hub

Key Scanners

Python, R, DataIku, Azure DataBricks, Azure data factory, Azure ML services

At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale.

Our Hyperlearning workplace is grounded upon four principles

• Flexible work arrangements, Free spirit, and emotional positivity
• Agile self-determination, trust, transparency, and open collaboration
• All Support needed for the realization of business goals,
• Stable employment with a great atmosphere and ethical corporate culture.