Capabilities

Your prior experience in one or more of the following:
AWS, CI/CD pipelines, Model deployment , Orchestration ,MLOps,SQL,Python,AWS cloud stack,MLOps level 2,Google Analytics,PySpark,Jenkins,CI/CD,Good communication

Your Team

Consider an exciting opportunity with a leading operations management and analytics firm dedicated to empowering businesses amidst relentless competition and constant disruption. Utilizing proprietary, award-winning Business Clienterator Framework™, integration is extended across analytics, automation, benchmarking, BPO, consulting, industry best practices, and technology platforms to delve deeper into enhancing global operations. Your potential role involves contributing to the improvement of global operations, fostering data-driven insights, elevating customer satisfaction, and managing risk and compliance. Our clientele spans the insurance, healthcare, banking and financial services, utilities, travel, transportation, and logistics industries. Headquartered in New York, a team of over 48,000 professionals located across the United States, Europe, Asia (primarily India and the Philippines), Latin America, Australia, and South Africa is responsible in shaping the future of operations management, where your skills can make a meaningful impact.

Your Job

• Utilize your ML Engineering/ML Ops expertise in a 12:30 PM – 10:30 PM IST shift.
• Fulfill MLOps level 2 requirements for CI/CD + CT pipeline automation.
• Demonstrate proficiency in SQL (advanced) and Python, with a strong grasp of scalable code and ML concepts.
• Hands-on experience in AWS cloud stack, including Sagemaker, EC2, S3, EMR, Lambda Functions, Cloudwatch, etc.
• Orchestrate ML Jobs using Airflow, Step Functions, Model registry, etc., with at least 2 years of experience.
• Knowledge of Jenkins for CI/CD and strong communication skills.
• Experience with version control tools like MLFlow, DVC, Pachyderm, etc.
• Good to have: Experience with Google Analytics data, PySpark.
• Bachelor’s degree from Tier I/II colleges preferred, with post-graduation being a plus.
• Actively own and manage client deliverables, collaborating with cross-functional teams.
• Create ML prototypes, design systems, research and implement algorithms, and develop ML applications.
• Implement model evaluation and validation tools/techniques, ensuring thorough quality checks.
• Develop CI/CD-based automated ML pipelines, with a continuous feedback loop for re-training.
• Strong skills in Feature store setup, Pipeline Integration, Automated triggering, Model Continuous Delivery, and Model Monitoring.
• Provide analytics-driven insights and perform statistical analysis on models.
• Understand client data and platforms, actively contributing to problem-solving and mentoring.
• Work hands-on independently, ensuring client satisfaction and positive feedback.
• Client Analytics offers a dynamic, fast-paced environment with opportunities for growth and learning.
• Potential for onshore relocation based on successful performance and positive client feedback.
• Learn various aspects of client businesses, effective teamwork, and time-management skills.
• Receive extensive training in analytics and leading analytical tools and techniques.
• Benefit from guidance and coaching through a mentoring program with senior-level professionals.
• Sky’s the limit for growth and development, with unique experiences paving the way for future opportunities.