CloudKaptan - Senior Machine Learning Engineer
2 weeks ago
Job Summary :
As a Senior Machine Learning Engineer at CloudKaptan, you will be responsible for designing, developing, and deploying machine learning models and solutions on cloud platforms. You will collaborate with cross-functional teams to ensure seamless integration of AI capabilities into existing systems. Additionally, you will play a key role in client engagements, understanding business requirements, and providing technical expertise to support new solution development and business initiatives.
Key Responsibilities :
- Architect and implement scalable machine learning models and pipelines on cloud platforms (e.g., AWS, Azure, Google Cloud).
- Develop algorithms and models for various business use cases, ensuring accuracy, efficiency, and robustness.
- Deploy ML models into production environments, ensuring seamless integration with existing systems and applications.
- Collaborate with clients to understand their business needs and identify opportunities for AI-driven solutions.
- Lead and manage ML projects from conception to deployment, ensuring timely delivery and quality standards.
- Conduct research and experiments to explore new algorithms, tools, and methodologies that can enhance our offerings.
Required Skills and Qualifications :
- Bachelor's or master's degree in computer science, engineering, mathematics, statistics or a related field.
- 8-12 years of experience in machine learning engineering, with a strong background in ML algorithms, data structures, and software development.
- Proficiency in programming languages such as Python, ML frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Extensive experience with cloud platforms (AWS, Azure, Google Cloud) for deploying and managing ML models.
- Knowledge of MLOps practices, including CI/CD pipelines, containerization (Docker), and orchestration (Kubernetes)
Location : Not specified
Experience : 8 - 12 Years
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