Jobs at Gramener

Data Scientist MLops

Where: Hyderabad / Bengaluru, India

About Gramener

We help consult and deliver solutions to organizations where data is at the core of decision making. We undertake strategic data consulting for organizations in laying out the roadmap for data driven decision making, in order to equip organizations to convert data into a strategic differentiator. Through a host of our product and service offerings we analyse and visualize large amounts of data.

What Gramener offers you

Gramener will offer you an inviting workplace, talented colleagues from diverse backgrounds, career path, steady growth prospects with great scope to innovate. Our goal is to create an ecosystem of easily configurable data applications focused on storytelling for public and private use.

Roles & Responsibilities

• Builds and manages automation pipelines to operationalize the ML platform and ML pipelines for fully automated CI/CD pipelines. These pipelines automate building Docker images, model training, and model deployment. MLOps engineers also have a role in overall platform governance such as data / model lineage, as well as infrastructure and model monitoring
• Turns reference implementations of ML models developed by data scientists into production-ready software
• Helps define product features, drives the system architecture, and spearheads the best practices that enable a quality product
• Enriches existing ML frameworks and libraries to easily extend the capabilities to Data Scientists
• Runs tests, performs statistical analysis, and interprets test results
• Works with data scientists and other ML engineers to investigate design approaches, prototype new patterns, and evaluate technical feasibility
• Operates in an Agile/Scrum environment to deliver high quality software against aggressive schedules

Skills & Qualifications

• Advanced Software Engineering skills using Python
• Extensive experience in designing, developing, and researching Machine Learning systems, models and patterns
• Extensive experience transforming data science prototypes and applying appropriate ML algorithms and tools into Industrialized Products
• Experience in defining, creating and documenting processes for various Data Science Capabilities
• Extensive experience in full life-cycle of MLOps
• Extensive experience in Training and retraining ML systems and models
• Extensive experience in Deep Learning frameworks
• Experience in distributed training frameworks
• Understanding of the Reinforcement Learning frameworks
• Extensive understanding in Model Evaluation Metrics and create libraries to extend the capabilities
• Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
• Extensive knowledge on AWS Sagemaker Studio and its various components
• Knowledge of various patterns of usage in the Sagemaker Studio including Bring Your Own Container etc.,
• Knowledge of security setup for using the Sagemaker Studio for multi-tenant segregation within a single AWS Account
• Extensive Knowledge in Distributed Training and Debugging capabilities in Sagemaker
• Experience in creating training, inference and monitoring pipelines in Sagemaker
• Experience in AWS Lambda, AWS API Gateway, AWS Batch, AWS Glue
• AWS Certified Machine Learning Developer certification is a plu

Please email resumes Gramener Careers.

To know more about us visit Gramener Website and Gramener Blog.