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Taxi & Car Services · 201 to 500 Employees · Havelock, US
LTM provides logistics consulting, technology system engineering, and information technology services, primarily for government agencies but also for commercial enterprises. The company's logistics services include supply chain management and the arrangement of distribution and transportation. LTM's customers have included several components of the US Department of Defense, as well as the US Department of Homeland Security and state government entities. Company president David Baldwin, a retired Marine aviator, founded LTM in 1994. The company, which owns more than a dozen offices across the US, is owned by its employees.
Hiring: Engineering
What employees say
+ Good projects. Good clients latest tech stack project
− you can not take sick leave if you are on bench you have to come 5 days office.
More reviews on the company profile.
Interview experience · Business Analyst
Very friendly, concept testing, focuses a lot on communication and basics. It heavily emphasised on marketing concepts and leaned towards consulting in general. Overall, prepare the basics and you should be good to go
Average difficulty · India · 19 reports
More interview insightsJob description
Overview
EXP - only 5+ years - 13 years
Responsibilities
- Build and maintain end to end ML pipelines including data preparation, model training, deployment, and monitoring.
- Automate model deployment using CI/CD practices.
- Manage model versioning, experiment tracking, and reproducibility.
- Collaborate with data scientists and data engineers to productionize models.
- Implement governance, security, and access controls for ML workflows.
- Optimize infrastructure usage and ensure scalable model serving.
- Support incident troubleshooting and continuous improvement of ML systems.
Qualifications
- Strong Python and SQL skills.
- Knowledge of CI/CD tools and DevOps practices.
- Understanding of model lifecycle management and monitoring concepts.
- Familiarity with containerization and orchestration (Docker, Kubernetes) is a plus.
- Preferred Experience
- Exposure to feature stores, model governance, and automated retraining workflows.
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Job application FAQ
Last updated 4 October 2026
- How do I apply for ML ops at LTM?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. LTM may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this ML ops role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is ML ops remote or on-site in Kolkata, West Bengal?
- This listing is marked on_site with location Kolkata, West Bengal. Confirm details on the job description before applying.
- What skills matter for this ML ops role at LTM?
- Key skills for this role include skills listed in the job description. Upload a resume to see which requirements you already meet and which are gaps.