ML Engineer.

Experience : 5+ Years.

Location : Hyderabad.

About The Role :

We are seeking a highly skilled and experienced Machine Learning Engineer to lead the design and implementation of cutting-edge ML solutions across our organization.

You will be responsible for prototyping and taking models all the way from proof-of-concept to production deployment.

This role requires a deep understanding of ML algorithms, data processing pipelines, model optimization, and production-grade engineering practices.

Key Responsibilities :

- Build and validate ML prototypes to solve real business problems.

- Develop, test, and optimize ML models using structured and unstructured data.

- Design and implement scalable data pipelines and model serving infrastructure.

- Continuously monitor, improve, and re-train models in production.

- Ensure reproducibility, versioning, and documentation of models and experiments.

- Evaluate and select appropriate ML tools, frameworks, and technologies to meet business requirements.

- Oversee the full ML lifecycle including data preparation, model development, training, validation, deployment, and monitoring.

- Collaborate with stakeholders to translate business needs into ML solutions.

Required Skills & Qualifications :

- Bachelors or Masters degree in Computer Science, Data Science, AI/ML, or related field.

- 5+ years of professional experience with at least 3 years in machine learning and data science.

- Take at least one ML solution from idea to full-scale production deployment.

- Strong programming skills in Python, with experience in ML libraries like TensorFlow, PyTorch, Scikit-learn, XGBoost, etc.

- Deep understanding of ML architecture patterns, data pipelines, and distributed systems.

- Experience with any of cloud platforms like AWS, Azure, or GCP and cloud-native ML tools (SageMaker, Vertex AI, Azure ML).

- Proficiency in Docker, Kubernetes, and other containerization/orchestration tools.

- Strong grasp of MLOps, model monitoring, and continuous integration/deployment pipelines.

- Hands-on experience with big data technologies like Spark, Hadoop, Hive, or similar.

Preferred Qualifications :

- Contributions to open-source ML projects or research publications.

- Experience with deep learning, NLP, computer vision, or reinforcement learning.

- Familiarity with data privacy, AI ethics, and governance frameworks.