Senior Machine Learning Engineer
Talent et au-dela
Talent et au-dela is hiring a Senior Machine Learning Engineer in Navi Mumbai, Maharashtra, India. The details below summarise the employer's own listing; applications happen on the original posting, not on GetFirstJob.
What the work involves
- Senior Machine Learning Engineer
- As a Senior Machine Learning Engineer, AI & ML
- Data Collection, you will play a critical role in building and scaling the company’s Unified AI/ML Data Collection Platform, enabling standardized, reliable, and scalable machine learning capabilities across the organization
- This role will focus on transforming existing AI/ML and LLM-driven data systems into a cohesive platform that supports data pipelines, model lifecycle management, evaluation frameworks, and production deployment
- You will work closely with ML engineers, product managers, researchers, and business stakeholders to deliver production-ready AI/ML systems aligned with broader business objectives and AI/ML strategy
- You will be deeply involved in the design, development, and operationalization of platform components, including data ingestion, feature management, model training and evaluation, scalable inference systems, and model observability capabilities
- You will help ensure that AI/ML systems are production-ready, observable, maintainable, and cost-efficient, with a strong emphasis on reliability, performance, governance, and developer productivity
- You will contribute to the end-to-end lifecycle of ML systems, from experimentation and prototyping to deployment, monitoring, optimization, and continuous improvement while mentoring engineers and promoting strong engineering practices across the team
- You will be part of a multidisciplinary team of ML engineers responsible for building and maintaining the Unified AI/ML Data Collection Platform
- The team focuses on developing scalable systems that support data pipelines, model lifecycle management, LLM-based workflows, and evaluation frameworks, enabling downstream teams to build and deploy AI-driven data collection solutions
What they are looking for
- This position requires deep hands-on expertise in machine learning engineering, LLM-based systems, ML platform development, and MLOps
- You will leverage your expertise in areas such as large language models (LLM), retrieval-augmented generation (RAG), embeddings, vector databases, distributed systems, cloud-native architectures, and ML Operations (MLOps)
- Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, or a related technical field
- 5+ years of experience in machine learning engineering or data science, with a focus on machine learning systems, ML platforms, or distributed systems
- MANDATORY SKILLS: AI, ML, LLM, RAG, Python, SQL, Gen AI, Kubernetes
- Strong experience building production-grade ML systems, including model deployment and lifecycle management
- Hands-on experience with MLOps tools and practices, including CI/CD, model monitoring, and experiment tracking
- Strong programming skills in Python and SQL, or similar languages
Pay and dates
The listing does not state pay. The source page shows a relative posting age rather than an exact posting date; this role was first seen and checked as open on 4 November 2026. The source page showed it as posted “5 days ago” when captured; that is a relative stamp, not an exact date.
How to apply
Apply on the listing where the employer published this role: Senior Machine Learning Engineer at Talent et au-dela. We found this listing via linkedin.com; it was still open when we checked on 4 November 2026. If the posting has closed or the link fails, the role may have been filled.
This is our short summary of the employer's listing. The full description, eligibility and deadline are on the employer's page.