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Magellanic Cloud - Machine Learning Engineer - R/Python Job Opening In Hyderabad – Now Hiring MAGELLANIC CLOUD LIMITED


Job description

<p><p><b>Job Description :</b></p><p><br/></p><p><b>Key Responsibilities :</b></p><p><p><b><br/></b></p>- Design, build, and deploy machine learning models to solve real-world business problems.<br/><br/></p><p>- Perform data preprocessing, cleansing, transformation, and feature engineering on both structured and unstructured data.<br/><br/></p><p>- Train, evaluate, and optimize ML models for performance, scalability, and accuracy.<br/><br/></p><p>- Integrate ML models into production systems and ensure their continuous performance using MLOps practices.<br/><br/></p><p>- Leverage cloud platforms, especially Google Cloud Platform (GCP), for scalable model training and deployment (e.g., Vertex AI, BigQuery, Dataflow).<br/><br/></p><p>- Develop REST APIs for ML models using Docker and orchestrate deployments via Kubernetes.<br/><br/></p><p>- Collaborate closely with data engineers, product managers, and software developers to translate business requirements into technical solutions.<br/><br/></p><p>- Monitor and maintain models in production, ensuring stability, performance, and regular updates.<br/><br/></p><p>- Maintain best practices in version control, documentation, and continuous integration using Git, GitHub, or GitLab.<br/><br/><b>Required Qualifications & Skills :</b></p><p><p><b><br/></b></p>- 5+ years of hands-on experience in building, training, and deploying machine learning models in a production-oriented environment.<br/><br/></p><p>- Proficiency in Python (preferred) or R, along with common machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).<br/><br/></p><p>- Solid knowledge of machine learning algorithms including regression, classification, clustering, and deep learning.<br/><br/></p><p>- Experience with Natural Language Processing (NLP), Computer Vision, or other advanced AI techniques is a </p><p>strong plus.<br/><br/></p><p>- Strong expertise in SQL and NoSQL databases, with a deep understanding of data warehousing concepts.<br/><br/></p><p>- Demonstrated ability in data blending and transformation, working with structured and unstructured data formats.<br/><br/></p><p>- Hands-on experience with GCP tools like Vertex AI, BigQuery, and Dataflow is highly desirable.<br/><br/></p><p>- Familiarity with MLOps practices, including model versioning, monitoring, and CI/CD pipelines.<br/><br/></p><p>- Working knowledge of Docker and Kubernetes for containerized deployments.<br/><br/></p><p>- Proficiency with Git-based version control systems for collaborative development workflows.<br/><br/><b>Nice to Have :</b></p><p><p><b><br/></b></p>- GCP certifications or equivalent cloud training.<br/><br/></p><p>- Experience working in agile and fast-paced environments.<br/><br/></p><p>- Prior experience deploying AI solutions in industries like finance, healthcare, retail, or supply chain.</p><br/></p> (ref:hirist.tech)

Required Skill Profession

Computer Occupations


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Unlock Your Magellanic Cloud Potential: Insight & Career Growth Guide


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MAGELLANIC CLOUD LIMITED interview tips for Magellanic Cloud   Machine Learning Engineer   R/Python

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Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

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