Search by job, company or skills

V

MLOps Engineer

Virtusa
India
Fresher
Save
  • Posted 11 hours ago
  • Be among the first 10 applicants
Early Applicant

Job Description

The AI Engineer is responsible for the design, development, and integration of cutting-edge machine learning and AI applications, with a focus on large language models (LLMs) and generative Al, ensuring they meet production standards for quality and performance.

Develop production-quality services and automation using Python and modern software engineering practices.

Operationalise machine learning and LLM-based solutions with strong reliability, performance, and governance controls.

Implement LLM application patterns including prompt orchestration, RAG, embeddings, and vector databases.

More Info

Job Type:
Permanent Job
Industry:
Other
Function:
Ai/Ml
Employment Type:
Full time

About Company

Virtusa

Job ID: 149061689

Jobs by Skill - IT
Jobs by Skill - Non IT
International Jobs
Last Updated: 11-06-2026 01:36:31 PM
Homejobs in IndiaMLOps Engineer

Similar Jobs

Data & MLOps Engineer

Hitachi Energy
Chennai, India

Skills:

Ms Azure, Numpy, Pandas, Pytorch, XGBoost, Databricks, Python, Sql, Tensorflow, Scikit-learn

Associate Vice President - Senior Lead MLOPs Engineer

deutsche borse group
Hyderabad, India

Skills:

Devops, MLops, Python, Business continuity testing, Prompt engineering, Risk assessments, Vector databases, Enterprise change management processes, Retrieval pipelines, Large language model workloads, Auditability, Safety testing, Privacy, Retrieval-based AI systems, Site Reliability Engineering, Test Operations, AI security, Platform Engineering

MLOPs Engineer

Tech Mahindra Limited
Hyderabad, Bengaluru, Pune

Skills:

MLops, Azure, Databricks, Data Modeling, Python, Sql, MLflow

MLOps Engineer (m/f/d)

Deutsche Telekom
Pune, India

Skills:

Docker, Sql, Python, Kubernetes, Helm Chart

MLOps Engineer

ntt data, inc.
Delhi, India

Skills:

Java, C, Microsoft Office 365, Cassandra, Node.js, Sql, Gcp, Javascript, Docker, Elasticsearch, Agile, Microsoft Azure, MongoDB, Kubernetes, Python, AWS, Lean, no-SQL, test-driven development, LXD, LXC