AI/ML Engineer

3 weeks ago

Bengaluru India Avia Technologies Full time

Job Description

Machine Learning Engineer

Location: Bangalore

Role & Responsibilities

- Design, implement, and deploy scalable ML models and pipelines for supervised & unsupervised problems, ensuring robustness and reproducibility.
- Develop production-quality Python services (APIs/batch jobs) to serve models with low latency and high throughput.
- Collaborate with data engineers and product owners to define features, data contracts, and ETL flows for reliable model inputs.
- Build and maintain CI/CD, monitoring, and automated retraining workflows (MLOps) to manage model lifecycle and drift.
- Optimize model performance and inference cost using quantization, batching, and scalable serving patterns (K8s/containers).
- Document model decisions, create test suites, and enforce engineering best practices (code reviews, unit/e2e tests, observability).

Skills & Qualifications

Must-Have

- 3+ years building and shipping ML models into production using Python and libraries such as TensorFlow or PyTorch.
- Hands-on experience with model serving and deployment patterns (Docker, Kubernetes, REST/gRPC endpoints).
- Solid data engineering fundamentals: SQL, ETL pipelines, experience with Spark/PySpark or equivalent.

Preferred

- Practical MLOps experience (MLflow,Kubeflow,Airflow) and automated CI/CD for models and data pipelines.
- Familiarity with cloud platforms (AWS/GCP/Azure) and managed ML services for scalable training/serving.
- Experience with model evaluation, A/B testing, monitoring, and techniques to mitigate drift and bias.

Benefits & Culture Highlights

- Collaborative, engineering-driven culture with strong emphasis on ownership, code quality, and continuous learning.
- Opportunities to work on end-to-end ML products and influence architecture and go-to-market decisions.
- Competitive local compensation, regular learning stipends, and on-site collaboration with cross-functional teams.

This role is ideal for a hands-on Machine Learning Engineer who wants to move beyond prototypes and build reliable, production ML services that scale. If you enjoy solving real-world data problems and deploying resilient systems, we'd love to hear from you.

Skills: python,artificial intelligence,machine learning,ml,models

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