MLOps Engineer

LTM; Tampa (FL); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Medical Plan Covering Medical, Dental,

Vision

Disability Coverage

Company match plan

Insurance

Paternity and Maternity Leave

Job summary

LTM Tampa is seeking an experienced MLOps engineer to design, build and maintain scalable ML infrastructure, pipelines, and deployment processes.

You will collaborate with data scientists and engineers to operationalize models, automate CI/CD, monitor performance, and ensure security and governance across ML workloads. This role offers exposure to Blueverse ML Engineering and opportunities to impact production systems at scale.

Qualifications

• 5–7 years of MLOps experience in Blueverse ML Engineering.

Responsibilities

• Lead end-to-end implementation of MLOps frameworks within Blueverse ML Engineering.
• Collaborate with data science teams to translate models into production solutions.
• Develop automated workflows for versioning, testing, deployment and rollback.
• Monitor deployed models for performance and trigger retraining as needed.

Skills

MLOps pipelines

CI/CD for ML

Model deployment

Model monitoring

Automation

Security governance

Job description

LTM is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 700+ clients, LTM brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by nearly 90,000 talented and entrepreneurial professionals across more than 30 countries, LTM a Larsen & Toubro Group company combines the industry-acclaimed strengths of erstwhile Larsen and Toubro Infotech and Mindtree in solving the most complex business challenges and delivering transformation at scale. For more information, please visit www.ltm.com

Location: Tampa, FL

Seeking a candidate with a 5 to 7 years of experience in MLOps within the Blue verse ML Engineering domain to drive scalable and efficient machine learning operations

Job Description

• Design develop and maintain robust MLOps pipelines to streamline model deployment and monitoring Collaborate with data scientists and engineers to operationalize machine learning models ensuring scalability and reliability Implement automation for continuous integration and continuous delivery CICD of ML models Optimize infrastructure and workflows for effective model training deployment and lifecycle management Ensure compliance with security governance and quality standards in ML operations Analyze system performance and troubleshoot issues related to ML model deployment and monitoring Stay updated with the latest trends and best practices in MLOps and machine learning engineering Participate in cross functional teams to integrate ML solutions into production environments

Roles and Responsibilities

• Lead the end-to-end implementation of MLOps frameworks within the Blueverse ML Engineering family Collaborate closely with data science teams to translate experimental models into production ready solutions Develop and maintain automated workflows for model versioning testing deployment and rollback Monitor deployed models for performance degradation and initiate retraining or tuning as necessary Mentor junior engineers and share knowledge on MLOps best practices and tools Drive continuous improvement initiatives to enhance ML operational efficiency and scalability Coordinate with infrastructure and DevOps teams to provision and manage ML environments Document processes architectures and operational procedures to ensure knowledge sharing and compliance.

Benefits/perks listed below may vary depending on the nature of your employment with LTM (LTIM):

Benefits and Perks:

• Medical Plan Covering Medical, Dental, Vision
• Term and Long-Term Disability Coverage
• Plan with Company match.
• Insurance
• Paternity and Maternity Leave

The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation.

Disclaimer:

The compensation and benefits information provided herein is accurate as of the date of this posting.

LTM is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.

Safe return to office:

In order to comply with LTM s company COVID-19 vaccine mandate, candidates must be able to provide proof of full vaccination against COVID-19 before or by the date of hire. Alternatively, one may submit a request for reasonable accommodation from LTM s COVID-19 vaccination mandate for approval, in accordance with applicable state and federal law, by the date of hire. Any request is subject to review through LTM s applicable processes.