Sr MLOps Engineer- Blackstraw.ai- Immediate Joiner

Job Description:

As a Senior MLOps Engineer, you will collaborate with other Engineers, Development teams, Product Owners & Scrum Masters to realize critical business goals and be part of a team of smart, highly skilled technologists who are passionate about learning, data mining and prototyping cutting-edge technologies.

We develop RESTful API applications in Python and what we do is to help our research team to put ML models in production, so we work mostly in building Restful applications and training pipelines (mostly in AzureML), integrating inference codes, and providing tools and patterns for enhancing our MLOps cycle

Responsibilities:

• Create and maintain a scalable infrastructure to deliver AI/ML processes, responding to the user requests in near real time.
• Develop RESTful Applications using Python.
• Design and implement the pipelines for training and deployment of ML models.
• Design dashboards to monitor a system, collect metrics, create alerts based on them and execute performance tests.
• Perform feasibility studies/analysis with a critical point of view and support & maintain (troubleshoot issues with data and applications).
• Contribute to architectural designs of large complexity and size, potentially involving several distinct software components.
• Mentoring other engineers fostering good engineering practices across the department.,
• Working closely with data scientists and a variety of end-users (across diverse cultures) to ensure technical compatibility and user satisfaction.
• Work as a member of a team, encouraging team building, motivation and cultivating effective team relations.
• Use distributed computing to validate and process large volumes of data to deliver insights.
• Evaluate technologies we can leverage, including open-source frameworks, libraries, and tools.
• Interface with product and other engineering teams on a regular cadence
• Develop technical documentation for applications, including sequence diagrams, flowcharts and manuals.

Qualifications:

• 7+ years of applicable data engineering experience, including Python & RESTful APIs.
• Strong knowledge of data structures, algorithms and designing for performance, scalability and availability.
• Strong knowledge of pandas, numpy, flask & sqlalchemy python libraries.
• Strong fundamentals in data mining & data processing methodologies.
• Sound understanding of Big Data & RDBMS technologies, such as SQL, Hive, Spark, Databricks, Snowflake or Postgresql.
• Orchestration and messaging frameworks: Jenkins, Messaging queue frameworks (Kafka).
• Experience in Azure or any cloud computing.
• Experience and knowledge in Linux & container orchestrators (Kubernetes,

Docker Swarm.)

• Experience in using collaborative developing tools such as Git, Confluence, Jira, etc.
• Excellent English communication skills, with the ability to effectively interface across cross-functional technology teams and the business.
• Minimum B.S. degree in Computer