Senior Manager

Senior Manager (MLOps)

Role Overview

The Role will be responsible for leading the analytics engagement for one of our Utilities clients. We are looking for a high impact Analytics & Data Engineering leader to set the vision & strategy across business, customer, marketing & data analytics for client. This position requires proven track record of data engineering, pipeline development,

• Model Deployment & Automation:
• Automate the deployment of machine learning models into production environments.
• Create and manage CI/CD pipelines for the smooth integration and delivery of models.
• Implement tools for version control, model deployment, and rollback mechanisms.
• Infrastructure Management:
• Design, build, and manage scalable infrastructure for running machine learning workloads, often using cloud services (AWS, GCP, Azure).
• Optimize compute resources to reduce cost and improve efficiency.
• Ensure the necessary computing power for training models and for running inference.
• Monitoring and Performance Tuning:
• Monitor the performance of deployed models, ensuring they meet the desired KPIs and are functioning optimally.
• Set up and maintain monitoring systems to track model drift, data drift, and operational issues.
• Debug and troubleshoot model issues, providing quick resolutions to ensure model stability.
• Collaboration with Data Scientists and Engineers:
• Work closely with data scientists to understand model requirements, training processes, and optimization needs.
• Collaborate with software engineers to integrate models into larger software systems and pipelines.
• Model Retraining & Management:
• Develop strategies for model retraining based on new data, performance degradation, or other triggers.
• Automate the process of data collection, retraining, and re-deployment.
  
  

Required Skills

• Programming: Proficiency in Python
• Machine Learning Frameworks: Hands-on experience with TensorFlow, PyTorch, or similar tools.
• DevOps Tools: Experience with Docker, Kubernetes, Jenkins, and other CI/CD tools.
• Cloud Platforms: Familiarity with cloud services like AWS, GCP, or Azure for model hosting and management.
• Version Control: Expertise in Git and model versioning tools.
• Data Handling: Strong understanding of data preprocessing, ETL pipelines, and database management.
  
  

Candidate Profile

• Educational Qualifications: Degree in Computer Science, Data Science, or related fields.
• Experience: Previous experience as a software engineer or data engineer with a focus on machine learning deployment.
• Certifications: Certifications in cloud platforms (AWS, Azure, GCP) or DevOps tools are often beneficial.
• 5+ years experience must in data engineering
• Prior experience in managing and delivering on end to end projects
• Outstanding written and verbal communication skills
• Able to work in fast pace continuously evolving environment and ready to take up uphill challenges
• Is able to understand cross cultural differences and can work with clients across the globe
  
  

What We Offer

• EXL Analytics offers an exciting, fast paced and innovative environment, which brings together a group of sharp and entrepreneurial professionals who are eager to influence business decisions. From your very first day, you get an opportunity to work closely with highly experienced, world class analytics consultants.
• You can expect to learn many aspects of businesses that our clients engage in. You will also learn effective teamwork and time-management skills - key aspects for personal and professional growth
• Analytics requires different skill sets at different levels within the organization. At EXL Analytics, we invest heavily in training you in all aspects of analytics as well as in leading analytical tools and techniques.
• We provide guidance/ coaching to every employee through our mentoring program wherein every junior level employee is assigned a senior level professional as advisors.
• Sky is the limit for our team members. The unique experiences gathered at EXL Analytics sets the stage for further growth and development in our company and beyond.