
ML Engineer Capestart - Hiring 2025
Posted on:November 27, 2025
Explore the latest Capestart jobs 2025 and find exciting career opportunities. Capestart is currently hiring for Fresher/Experienced professionals. This vacancy is entitled as a Nagercoil jobs, offcampus jobs in Capestart, and also explore all other ML Engineer Capestart - Hiring 2025 listings. Don't miss this chance to kickstart your career with Capestart today. All eligible candidates are advised to apply for this job as soon as possible. For more information kindly go through the below details.
AboutCapestart
ML Engineer Capestart - Hiring 2025
CapeStart’s seasoned, skilled data analysts, data scientists and software developers provide complex data annotation, machine learning and AI model development, and software development services for web and mobile apps to enterprises in health care, finance, and other industries. Headquartered in Cambridge, MA, CapeStart’s dedicated, integrated team of subject matter and technical experts are located in Nagercoil in the Cape of India, serving 100-plus clients in more than 35 various industries.
Job Details
| Company | Capestart |
|---|---|
| Position | ML Engineer |
| Location | Nagercoil |
| Job Type | Full Time |
| Experience | Fresher/Experienced |
| Website | https://capestart.com |
Qualifications
- Bachelor's or Master's degree in Computer Science, Data Science
- MLOps, AWS, Azure, or GCP, Docker, Kubernetes, Github, SQL
- Python,Machine Learning,Data Science,Generative Ai,Deep Learning
Responsibilities
- Implementing, optimizing, and training various machine learning models (e.g., classification, regression, deep learning, NLP, Gen AI) using client data to solve defined business problems.
- Assisting with the deployment of trained models into production environments on cloud platforms.
- Collaborating with software engineering and DevOps teams to ensure ML solutions are securely and seamlessly integrated into client's existing IT infrastructure and business workflows.
- Creating clear and comprehensive technical documentation for ML models, codebase, deployment procedures, and API specifications for internal teams and clients.
- Participating in code reviews to maintain high-quality, efficient, and well-tested code standards for all ML projects.
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