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:
- Bachelor’s or Master’s 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.