Job Description

Lead Assistant ManagerEXL/LAM/1437625


Digital SolutionsPune
Posted On
30 Jul 2025
End Date
13 Sep 2025
Required Experience
3 - 5 Years



Basic Section
Number Of Positions


1


Band


B2


Band Name


Lead Assistant Manager


Cost Code


D012603


Campus/Non Campus


NON CAMPUS


Employment Type


Permanent


Requisition Type


New


Max CTC


1400000.0000 - 2000000.0000


Complexity Level


Not Applicable


Work Type


Hybrid - Working Partly From Home And Partly From Office


Organisational
Group


EXL Digital


Sub Group


Digital Solutions


Organization


Digital Solutions


LOB


Product Practice Market


SBU


GenAI CoE


Country


India


City


Pune


Center


IN Pune SEZ C25




Skills
Skill


ML


ML FRAMEWORKS, PYTORCH


MACHINE LEARNING


DEPLOYMENT


Minimum Qualification


B.TECH/B.E


Certification


No data available

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:

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.
Workflow
Workflow Type


Digital Solution Center