Engineer - MLOps / LLMOps - 7+ Years - Noida/Gurugram (Hybrid)

Are you a seasoned skilled with 7+ years of expertise in MLOps and LLMOps? Are you passionate about developing robust machine learning pipelines and operational frameworks? If yes, we are looking for someone like you to join our dynamic team! In this hybrid role based out of Noida/Gurugram, you'll be empowered to lead projects, innovate, and redefine operational excellence in the ever-evolving world of machine learning and analytics.

Location: Noida/Gurugram (Hybrid)

Your Future Employer: A leading name in Technology & Analytics practices that fosters an inclusive work environment, values diversity, and champions the creative and analytical minds shaping modern industries. Join a team where innovation meets integrity, and impact is built through collaboration.

Responsibilities

1. Design and implement robust frameworks for machine learning operations, from model deployment to monitoring and updating models in production environments.
2. Collaborate with data scientists, developers, and engineers to automate workflows while optimizing performance and scalability.
3. Effectively govern, version, and monitor ML and LLM models across distributed systems.
4. Leverage cloud services and integrate across datasets to deliver scalable, secure, and efficient infrastructure.
5. Influence technology decisions, recommend best practices, and contribute to open-source projects related to MLOps and LLMOps.

Requirements

1. A minimum of 3 years of experience in MLOps, LLMOps, or related areas with hands-on expertise in industry-leading tools and frameworks such as Kubeflow, MLFlow, or TensorFlow Extended (TFX).
2. Strong expertise in coding languages like Python, R, or similar, with a demonstrated ability to build and deploy ML pipelines.
3. Proficiency in cloud platforms such as AWS, GCP, or Azure, including services like S3, Lambda,



or Kubernetes.
4. Experience in monitoring machine learning models post-deployment with tools like Prometheus, Grafana, or similar.
5. Ability to solve complex problems with strong analytical, communication, and teamwork skills in a collaborative environment.

Whats in it for you

- Opportunity to work with a cutting-edge team on state-of-the-art technologies.
- A flexible hybrid work model that supports a healthy work-life balance.
- Learning and growth opportunities to skyrocket your career trajectory.
- Exposure to global projects with industry-shaping professionals.
- A workplace committed to diversity, equity, and inclusion that values every individual and their contributions.

Reach Us: If you feel this opportunity is well-aligned with your career progression plans, please feel free to reach out to me with your updated profile at [email protected].

Disclaimer: Crescendo Global specializes in Senior to C-level niche recruitment. We are passionate about empowering job seekers and employers with an engaging, memorable job search and leadership hiring experience. Crescendo Global does not discriminate on the basis of race, religion, color, origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Note: We receive a lot of applications on a daily basis, so it becomes a bit difficult for us to get back to each candidate. Please assume that your profile has not been shortlisted in case you don't hear back from us in one week. Your patience is highly appreciated.

Scammers can misuse Crescendo Global’s name for fake job offers. We never ask for money, purchases, or system upgrades. Verify all opportunities at Crescendo Global and report fraud immediately. Stay alert!

Profile Keywords: MLOps, LLMOps, Machine Learning Operations, Cloud Platforms, TensorFlow Extended, Python, Kubernetes, AWS, GCP, Azure, ML Automation.

📌 Engineer - MLOps / LLMOps - 7+ Years - Noida/Gurugram (Hybrid)
🏢 Crescendo Global Leadership Hiring India
📍 Noida