3 Ecraws Sagemaker Jobs

Job Description As a Senior Associate Technology L2, you will be responsible for designing, developing, and maintaining Python-based applications You will work closely with cross-functional teams to deliver high-quality, scalable solutions that meet client needs, Your Impact Design, develop, and maintain Python applications to meet business requirements, Collaborate with product managers, designers, and other engineers to deliver high-quality solutions, Optimize application performance and ensure scalability, Write clean, maintainable, and efficient code, Conduct code reviews and provide constructive feedback to team members, Troubleshoot and debug issues to ensure smooth application operation, Stay updated on emerging technologies and best practices in Python development, Qualifications Your Skills & Experience: 5+ years of experience in Python development, Strong understanding of Python frameworks such as Django, Flask, or FastAPI, Experience with SQL and NoSQL databases (e-g , PostgreSQL, MongoDB), Proficiency in RESTful API development, Familiarity with cloud platforms such as AWS, Azure, or GCP, Strong problem-solving and analytical skills, Excellent communication and collaboration skills, Set Yourself Apart With Experience in microservices architecture, Knowledge of containerization tools like Docker and Kubernetes, Exposure to CI/CD pipelines and automation tools, Understanding of Agile and Scrum methodologies, A Tip From The Hiring Manager This is a job for the curious, make-things-happen kind of person Someone who thinks like an entrepreneur and can motivate and move their team to achieve and drive impact, Additional Information Gender-Neutral Policy 18 paid holidays throughout the year, Generous parental leave and new parent transition program Flexible work arrangements Employee Assistance Programs to help you in wellness and well being Company Description Publicis Sapient is a digital transformation partner helping established organizations get to their future, digitally enabled state, both in the way they work and the way they serve their customers We help unlock value through a start-up mindset and modern methods, fusing strategy, consulting and customer experience with agile engineering and problem-solving creativity United by our core values and our purpose of helping people thrive in the brave pursuit of next, our 20,000+ people in 53 offices around the world combine experience across technology, data sciences, consulting and customer obsession to accelerate our clientsbusinesses through designing the products and services their customers truly value,

Job Summary: Join our customer's team as a hands-on MLOps Engineer, where you'll play a pivotal role in shaping, deploying, and automating end-to-end machine learning pipelines Leveraging your expertise in AWS services and MLOps best practices, you will help operationalize cutting-edge ML solutions in a fast-paced, collaborative environment This opportunity is ideal for passionate professionals who care deeply about clear communication and impactful ML systems, Key Responsibilities: Design, develop, and maintain robust ML pipelines for scalable deployment in production environments, Implement and manage CI/CD workflows specific to machine learning code and artifacts, Utilize AWS core services, with a strong focus on EKS, ECS, ECR, SageMaker (including processing, training, batch transform, hyperparameter tuning), Step Functions, EventBridge, SNS/SQS, and SageMaker Model Registry, Automate and orchestrate machine learning workflows, ensuring reliability and reproducibility, Collaborate with data scientists, engineers, and stakeholders to optimize ML models and deployment strategies, Monitor, troubleshoot, and enhance ML systems for optimal performance, availability, and scalability, Maintain clear, concise, and comprehensive documentation for pipelines, deployments, and operational processes, Required Skills and Qualifications: Proven hands-on experience as an MLOps Engineer or in a similar role supporting live ML applications, Expertise in AWS cloud services, especially EKS, ECS, ECR, SageMaker, Step Functions, EventBridge, SNS/SQS, and Model Registry, Deep understanding of core ML concepts and the nuances of deploying ML code in production-grade systems, Strong experience with MLFlow for experiment tracking and model management, Solid grasp of CI/CD concepts tailored to machine learning workflows, Exceptional written and verbal communication skills, with a strong emphasis on collaboration and documentation, Demonstrated ability to work on-site in Gurugram, Pune, or Bengaluru, Preferred Qualifications: Exposure to advanced ML workflow automation and monitoring tools, Previous experience in high-performance, large-scale ML environments, Relevant certifications in AWS or MLOps,

Job Summary: Join our customer's team as a hands-on MLOps Engineer, where you'll play a pivotal role in shaping, deploying, and automating end-to-end machine learning pipelines Leveraging your expertise in AWS services and MLOps best practices, you will help operationalize cutting-edge ML solutions in a fast-paced, collaborative environment This opportunity is ideal for passionate professionals who care deeply about clear communication and impactful ML systems, Key Responsibilities: Design, develop, and maintain robust ML pipelines for scalable deployment in production environments, Implement and manage CI/CD workflows specific to machine learning code and artifacts, Utilize AWS core services, with a strong focus on EKS, ECS, ECR, SageMaker (including processing, training, batch transform, hyperparameter tuning), Step Functions, EventBridge, SNS/SQS, and SageMaker Model Registry, Automate and orchestrate machine learning workflows, ensuring reliability and reproducibility, Collaborate with data scientists, engineers, and stakeholders to optimize ML models and deployment strategies, Monitor, troubleshoot, and enhance ML systems for optimal performance, availability, and scalability, Maintain clear, concise, and comprehensive documentation for pipelines, deployments, and operational processes, Required Skills and Qualifications: Proven hands-on experience as an MLOps Engineer or in a similar role supporting live ML applications, Expertise in AWS cloud services, especially EKS, ECS, ECR, SageMaker, Step Functions, EventBridge, SNS/SQS, and Model Registry, Deep understanding of core ML concepts and the nuances of deploying ML code in production-grade systems, Strong experience with MLFlow for experiment tracking and model management, Solid grasp of CI/CD concepts tailored to machine learning workflows, Exceptional written and verbal communication skills, with a strong emphasis on collaboration and documentation, Demonstrated ability to work on-site in Gurugram, Pune, or Bengaluru, Preferred Qualifications: Exposure to advanced ML workflow automation and monitoring tools, Previous experience in high-performance, large-scale ML environments, Relevant certifications in AWS or MLOps,