Machine Learning Engineer
4 days ago
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.
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.
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