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Urgent! MLOps-Python API Engineer Job | Nityo Infotech
Python_ML Ops_Framework Engineer
Educational Qualifications:
• B.E./B.Tech/M.Tech/MCA in Computer Science, Information Technology, or a related field.
• Advanced degree in Data Science, Machine Learning, or Artificial Intelligence is a plus.
Experience:
• 3+ years of experience in IT, with at least 2+ years in MLOps and machine learning model deployment.
• Hands-on experience with Databricks for scalable data processing, model training, and orchestration.
• Experience working with Large Language Models (LLMs) such as OpenAI, Azure OpenAI, Hugging Face Transformers, or similar.
Core Responsibilities:
• Design, build, and maintain end-to-end ML pipelines using Databricks, MLflow, and Azure Machine Learning.
• Implement CI/CD pipelines for ML models, ensuring reproducibility, version control, and automated deployment.
• Operationalize LLM-based solutions, including prompt engineering, fine-tuning, and inference optimization.
• Monitor and manage model performance, drift, and retraining workflows.
• Collaborate with data scientists, data engineers, and DevOps teams to ensure seamless integration and delivery.
Technical Skills:
• Proficiency in Python and scripting for automation and orchestration.
• Strong understanding of MLOps tools: MLflow, DVC, Kubeflow, Airflow, or similar.
• Experience with containerization (Docker) and orchestration (Kubernetes).
• Familiarity with Azure DevOps, Git, and CI/CD pipelines for ML workflows.
• Knowledge of data governance, model monitoring, and compliance best practices.
Desirable Skills:
• Exposure to LLM fine-tuning, embedding generation, and vector databases (e.g., FAISS, Weaviate, Pinecone).
• Experience with Databricks Unity Catalog, Delta Live Tables, and Feature Store.
• Understanding of data security, access control, and cost optimization in cloud environments.
Soft Skills:
• Strong problem-solving and debugging skills.
• Excellent communication and collaboration abilities.
• Ability to work in a fast-paced, agile environment and manage multiple priorities.
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Unlock Your MLOps Python Potential: Insight & Career Growth Guide
Real-time MLOps Python Jobs Trends in Mysuru, India (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for MLOps Python in Mysuru, India using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 27203 jobs in India and 79 jobs in Mysuru. This comprehensive analysis highlights market share and opportunities for professionals in MLOps Python roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Nityo Infotech is currently hiring and seeking a MLOps Python API Engineer to join their team. Feel free to download the job details.
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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 Nityo Infotech adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a MLOps Python API Engineer Jobs India varies, but the pay scale is rated "Standard" in Mysuru. 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.
Key qualifications for MLOps Python API Engineer typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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