MLOps Engineer

2 days ago

delhi, India Genpact Full time

Responsibilities:
Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose the relentless pursuit of a world that works better for people we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI.

This role is open for PAN INDIA Genpact office locations

Inviting applications for the role of MLOps Engineer

Design, develop, and implement MLOps pipelines for generative AI models, encompassing data ingestion, pre-processing, training, deployment, and monitoring.
Automate ML tasks across the model lifecycle, leveraging tools like GitOps, CI/CD pipelines, and containerization technologies (e.g., Docker, Kubernetes).
Develop and maintain robust monitoring and alerting systems for generative AI models in production, ensuring proactive identification and resolution of issues.
Collaborate with the Generative AI Full Stack Architect and other engineers to optimize model performance and resource utilization.
Manage and maintain cloud infrastructure (e.g., AWS, GCP, Azure) for ML workloads, ensuring cost-efficiency and scalability.
Stay up-to-date on the latest advancements in MLOps and incorporate them into our platform and processes.
Communicate effectively with technical and non-technical stakeholders about the health and performance of generative AI models.
Troubleshoot issues and perform root cause analysis to ensure the reliability and availability of ML systems.
Security and Compliance:
Ensure the security and compliance of ML systems, including data privacy and protection measures.
Stay informed about industry best practices and standards in ML Ops security.
Document infrastructure, processes, and procedures to facilitate knowledge sharing and ensure reproducibility.

Qualifications:
Bachelor's degree in Computer Science, Data Science, Engineering, or a related field, or equivalent experience.
Experience in MLOps, ML infrastructure design & Implementation or related areas, such as DevOps & data engineering.
Proven experience in automating ML pipelines with tools like MLflow, Kubeflow, Airflow, etc.
Expertise in cloud platforms (e.g., AWS, Azure) for ML workloads.
Strong understanding of CI/CD principles and containerization technologies like Docker and Kubernetes.
Familiarity with monitoring and alerting tools for ML systems (e.g., Prometheus, Grafana).
Excellent communication, collaboration, and problem-solving skills.
Ability to work independently and as part of a team.
Passion for Generative AI and its potential to revolutionize various industries.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values diversity and inclusion, respect and integrity, customer focus, and innovation. Get to know us at genpact.com and on LinkedIn , X , YouTube , and Facebook .

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