Senior Manager

7 days ago

Pune, Maharashtra, India EXL Service Full time

Job Title Machine Learning Engineer Manager - Band B2 C1 Company Name EXL Services Location Bangalore Noida Pune Hyderabad Gurgaon WFH Mode Education B E B Tech M E M Tech MCA Experience Required 4 years of relevant experience Job Responsibilities Model Deployment and Management Drive ML prototypes into production ensuring seamless deployment and management on cloud at scale Monitor real-time performance of deployed models analyze data and proactively address performance issues Troubleshoot and resolve production issues related to ML model deployment performance and scalability Collaboration and Integration Collaborate with DevOps engineers to manage cloud compute resources for ML model deployment and performance optimization Work closely with ML scientists software engineers data engineers and other stakeholders to implement best practices for MLOps including CI CD pipelines version control model versioning and automated deployment Innovation and Continuous Improvement Stay updated with the latest advancements in MLOps technologies and recommend new tools and techniques Contribute to the continuous improvement of team processes and workflows Share knowledge and expertise to promote a collaborative learning environment Development and Documentation Build software to run and support machine-learning models Develop and maintain documentation standard operating procedures and guidelines related to MLOps processes Participate in fast iteration cycles and adapt to evolving project requirements Business Solutions and Strategy Propose solutions and strategies to business challenges Collaborate with Data Science team Front End Developers DBA and DevOps teams to shape architecture and detailed designs Mentorship Conduct code reviews and mentor junior team members Foster strong interpersonal skills excellent communication skills and collaboration skills within the team Mandatory Skills Programming Languages Proficiency in Python 3 x and SQL ML Frameworks and Libraries Extensive knowledge of ML frameworks libraries data structures data modeling and software architecture Databases Proficiency in SQL and NoSQL databases Mathematics and Algorithms In-depth knowledge of mathematics statistics and algorithms ML Modules and REST API Proficient with ML modules and REST API Version Control Hands-on experience with version control applications GIT Model Deployment and Monitoring Experience with model deployment and monitoring Data Processing Ability to turn unstructured data into useful information e g auto-tagging images text-to-speech conversions Problem-Solving Analytically agile with strong problem-solving capabilities Learning Agility Quick to learn new concepts and eager to explore and build new features Qualifications Education Bachelors or Masters degree in Computer Science Data Science or a related field Experience Minimum of 6 years of hands-on experience in MLOps deploying and managing machine learning models in production environments preferably in cloud-based environments

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