MLOps Engineer

About the Role:

In this opportunity as MLOps Engineer:

• Define, manipulate, aggregate and use both structured and unstructured big data in order to support descriptive and predictive analytics across the businesses.
• Collaborate with scientists, product groups and content groups to perform big data aggregations, symbology mapping, and manipulations of important data-sets.
• Perform statistical (and machine learned) analyses on data to serve business purposes.
• Narrate stories (sometimes to a non-technical audience) about our content and processes by data analysis and visualization.
• Define and develop software for the analysis and manipulation of large and very large data-sets.
• Guide the architecture of big-data business processes with an eye towards robustness, parsimony and reproducibility (at senior levels).

About You:

Youre a fit for the role of MLOps Engineer if your background includes:

• 2+ years of proven experience as a MLOps Engineer or in a similar role.
• The role requires the candidate to work from 12 pm - 9 pm IST.
• Bachelors / Masters degree in computer science, Data Science, Machine Learning, or a related quantitative field.
• Proven hands-on experience in generative AI in areas such as prompt engineering, experience in designing, building and maintaining a MLOps environment.
• Develop and communicate the overall application architecture in a distributed cloud environment, including patterns, best practices, and guidelines.
• Experience in data modeling for applications leveraging advanced analytic query generation typically found in descriptive queries.
• Competently performs well-defined analytical tasks without extensive intervention.
• Develops hypotheses and investigates them independently.
• Developing judgment as to how best to maximize return on research investment for a given project.
• Excellent communication skills.
• Strong analytical capabilities.
• Successful record of leading and inspiring cross-functional teams
• Excellent time management, communications, decision-making, presentation, and organization skills.
• Strategic thinker with a problem-solving mindset.