CloudKaptan - Senior Machine Learning Engineer

1 week ago


Kolkata, India CLOUDKAPTAN CONSULTANCY SERVICES PRIVATE LIMITED Full time

Job Summary :

As a Senior Machine Learning Engineer, 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 : Kolkata

Experience : 8 - 12 Years

(ref:hirist.tech)

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