Lead Assistant Manager

Lead Assistant Manager

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:

1. 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.
2. 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.
3. 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.
4. 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.

5. 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.
6. 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: Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
• Experience: Minimum of 4 years of hands-on experience in MLOps, deploying and managing machine learning models in production environments, preferably in cloud-based environments.