We are looking for a highly skilled Machine Learning Engineer to join our engineering team in Hyderabad. The ideal candidate will have solid hands-on experience in Machine Learning, Python, GCP Vertex AI, ML deployment, cloud infrastructure, and DevOps practices.

You will be responsible for building, deploying, scaling, and maintaining production-grade ML solutions while working closely with data scientists, software engineers, and platform/DevOps teams.

Key Responsibilities

- Design, develop, deploy, and maintain production-grade Machine Learning solutions.
- Build and manage ML workflows using GCP Vertex AI.
- Develop scalable and production-ready applications/services using Python and FastAPI.
- Implement distributed ML workloads using Ray where required.
- Build and maintain automated ML/data pipelines using Apache Airflow.
- Work with SQL and relational databases for data extraction, transformation, and analysis.
- Automate cloud infrastructure provisioning and management using Terraform.
- Implement CI/CD, monitoring, deployment, and other DevOps practices for ML applications.
- Collaborate with Data Scientists, ML Engineers, Software Engineers, and DevOps teams to move models from experimentation to production.
- Optimize ML systems for scalability, reliability, performance, and cost.
- Troubleshoot production ML pipelines, services, and infrastructure.
- Follow best practices for version control, testing, documentation, security, and deployment.

Must-Have Skills
- Strong hands-on experience in Machine Learning (ML).
- Strong proficiency in Python.




- Hands-on experience with GCP Vertex AI.
- Experience with Terraform and Infrastructure as Code (IaC).
- Strong SQL skills.
- Experience developing APIs/services using FastAPI.
- Experience with Ray or distributed computing frameworks.
- Strong understanding of DevOps practices and CI/CD.
- Hands-on experience with Apache Airflow and workflow orchestration.
- Experience deploying and operating ML solutions in production environments.
- Good understanding of cloud-based ML architecture and scalable systems.

Good to Have
- Experience building Agentic AI workflows.
- Exposure to Generative AI / LLM-based applications.
- Experience with LLM orchestration, tool calling, agents, or multi-agent workflows.
- Experience with ML model serving and monitoring.
- Familiarity with Docker/Kubernetes.
- Experience with MLOps practices and platforms.

Ideal Candidate The ideal candidate is a hands-on ML Engineer who can work across the complete ML lifecycle — from model development and data pipelines to cloud deployment, infrastructure automation, APIs, monitoring, and production support. Candidates with strong experience in GCP Vertex AI + Python + Terraform + FastAPI + Ray + Airflow + DevOps will be preferred.

Compensation

₹16.8 LPA – ₹18.0 LPA

Equivalent monthly compensation: ₹1.40 LPM – ₹1.50 LPMWork Location

Hyderabad – Onsite, 5 Days/Week

Pay: ₹1,800,000.00 per year

Application Question(s)

- How many years of Experience you have as ML Engineer ?
- Are You willing to Relocate

Work Location: In person

📌 Machine Learning Engineer (Hyderabad)
🏢 Tasknera HR Solution
📍 Hyderabad