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Python Engineer - Artificial Intelligence/Machine Learning Job Opening In Hyderabad – Now Hiring Hyrhub


Job description

<p>We are looking for an experienced AIML Python Engineer with strong expertise in building, deploying, and maintaining end-to-end ML pipelines and APIs. The ideal candidate will have deep hands-on experience with Python, AWS SageMaker, CI/CD for ML workflows, and scalable data processing frameworks.

You will be responsible for enabling real-time, batch, event-triggered, and edge ML deployments while collaborating with cross-functional teams to deliver high-quality solutions.</p><p><br/></p><p> </p><p>Key Responsibilities :</p><p><br/></p><p> </p><p> </p><p>- Design, develop, and maintain ML workflows and pipelines using Python.</p><p> </p><p><br/></p><p>- Deploy ML models in real-time, batch, event-driven, and edge environments.</p><p> </p><p><br/></p><p>- Implement and manage ML pipelines using AWS SageMaker (Pipelines, MLflow, Feature Store).</p><p> </p><p><br/></p><p>- Build and deploy APIs for ML workflows using FastAPI, Flask, or Django.</p><p> </p><p><br/></p><p>- Ensure APIs are secure, scalable, and optimized for performance.</p><p> </p><p><br/></p><p>- Work on end-to-end ML lifecycle: model development, training, validation, deployment, and monitoring.</p><p> </p><p><br/></p><p>- Apply ML frameworks & libraries such as Scikit-learn, PyTorch, XGBoost, LightGBM, MLflow.</p><p> </p><p><br/></p><p>- Implement CI/CD pipelines for ML workflows using Bitbucket, Jenkins, Nexus, and other tools.</p><p> </p><p><br/></p><p>- Use Autosys (or similar) for job scheduling and workflow automation.</p><p> </p><p><br/></p><p>- Develop ETL pipelines using PySpark, Kafka, AWS EMR Serverless.</p><p> </p><p><br/></p><p>- Handle large-scale data ingestion, transformation, and feature engineering for ML systems.</p><p> </p><p><br/></p><p>- Collaborate with data scientists, data engineers, and DevOps teams.</p><p> </p><p><br/></p><p>- Advocate for MLOps best practices including versioning, reproducibility, monitoring, and scalability.</p><p> </p><p><br/></p><p>- Contribute to process improvement and innovation in ML system design and deployment.</p><p> </p><p><br/></p><p>Required Skills & Qualifications :</p><p><br/></p><p> </p><p>- 5+ years of experience in Python for ML workflows and pipeline development.</p><p> </p><p><br/></p><p>- 4+ years of hands-on experience with AWS SageMaker for ML deployment (Pipelines, MLflow, Feature Store).</p><p> </p><p><br/></p><p>- 3+ years in API development with FastAPI, Flask, Django.</p><p> </p><p><br/></p><p>- Strong experience in ML frameworks : Scikit-learn, PyTorch, XGBoost, LightGBM, MLflow.</p><p> </p><p><br/></p><p>- Solid understanding of the ML lifecycle : development, training, validation, deployment, and monitoring.</p><p> </p><p><br/></p><p>- Strong knowledge of CI/CD pipelines for ML workflows (Bitbucket, Jenkins, Nexus, Autosys).</p><p> </p><p><br/></p><p>- Hands-on experience with ETL pipelines using PySpark, Kafka, and AWS EMR Serverless.</p><p> </p><p><br/></p><p>- Experience with H2O.ai framework.</p><p> </p><p><br/></p><p>- Exposure to real-time ML at scale in production-grade systems.</p><p> </p><p><br/></p><p>- Experience in edge ML deployments.</p><p> </p><p><br/></p><p>- Strong analytical and problem-solving abilities.</p><p> </p><p><br/></p><p>- Ability to work independently as well as in collaborative team environments.</p><p> </p><p><br/></p><p>- Strong communication skills to articulate technical solutions to cross-functional teams.</p><p> </p><p><br/></p><p>- Opportunity to work on cutting-edge ML deployment use cases.</p><p> </p><p><br/></p><p>- Exposure to large-scale, production-grade ML systems in real-world environments.</p><p> </p><p><br/></p><p>- Contract-to-hire opportunity with full-time absorption by client.</p><p> </p><p><br/></p><p>- Work in a collaborative, innovation-driven environment.</p> (ref:hirist.tech)

Required Skill Profession

Computer Occupations


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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Hyrhub adheres to the cultural norms as outlined by Expertini.

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The average salary range for a varies, but the pay scale is rated "Standard" in Hyderabad. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

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Hyrhub interview tips for Python Engineer   Artificial Intelligence/Machine Learning

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