ML Engineer | 6 to 9 years | Pan India
Capgemini
2 - 5 years
Mumbai
Posted: 9/17/2024
Job Description
Job Description
• Design, implement, and maintain end-to-end MLOps pipelines for deploying machine learning models into production.
• Collaborate with data scientists to understand model requirements and ensure smooth deployment and integration.
• Develop and manage infrastructure for model training, validation, deployment, monitoring, and retraining.
• Implement CI/CD pipelines to streamline the deployment and updates of AI/ML models.
• Ensure the scalability, reliability, and performance of deployed models through continuous monitoring and optimization.
• Utilize containerization and orchestration tools (e.g., Docker, Kubernetes) to manage model deployment environments.
• Work with cloud platforms (AWS, GCP, Azure) to deploy and manage AI/ML services.
• Implement security best practices for AI/ML models and data pipelines.
• Troubleshoot and resolve issues related to model deployment and operation.
• Stay updated with the latest MLOps tools, frameworks, and methodologies.
• Document processes, configurations, and procedures to ensure knowledge sharing and continuity.
Primary Skill
s
• Proven experience (4+ years) in deploying machine learning models in production environments.
• Strong understanding of machine learning, deep learning, NLP, and generative AI techniques.
• Proficiency with MLOps tools and frameworks such as MLflow, Kubeflow, TensorFlow Extended (TFX), or similar.
• Experience with CI/CD tools such as Jenkins, GitLab CI, or CircleCI.
• Proficiency in programming languages such as Python and familiarity with ML/DL frameworks like TensorFlow, PyTorch, and scikit-learn.
• Experience with cloud platforms (AWS, GCP, Azure) and their AI/ML services.
• Knowledge of containerization and orchestration tools (Docker, Kubernetes).
• Strong understanding of version control systems (e.g., Git) and collaborative development workflows.
• Excellent problem-solving skills and the ability to design robust, scalable MLOps solutions.
• Strong communication skills, with the ability to collaborate effectively with cross-functional teams.Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fuelled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.
About Company
Capgemini is a global leader in consulting, technology services, and digital transformation. Headquartered in Paris, France, Capgemini provides a wide range of services, including IT consulting, managed services, business process outsourcing, and digital transformation solutions. With over 360,000 employees across more than 50 countries, the company focuses on helping organizations innovate and transform their businesses to remain competitive in a rapidly changing digital landscape. Capgemini is known for its expertise in cloud computing, AI, cybersecurity, and other emerging technologies, working closely with clients to develop sustainable and cutting-edge solutions.
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