Urgent! MLOps Engineer - Python Job Opening In Gurugram – Now Hiring Pylon Management Consulting
<p><p><b>Responsibilities : </b><br/><br/>- Develop, optimize, and maintain scalable machine learning pipelines for training, evaluation, and deployment.<br/><br/></p><p>- Work with research and product teams to productionize AI/ML models, ensuring reliability, scalability, and performance.<br/><br/></p><p>- Automate workflows for data preprocessing, model training, validation, and monitoring.<br/><br/></p><p>- Implement robust monitoring systems for detecting data drift, model degradation, and system anomalies.<br/><br/></p><p>- Build APIs, services, and tools that integrate models seamlessly into end-user applications.<br/><br/></p><p>- Ensure reproducibility, experiment tracking, and version control using modern MLOps practices.<br/><br/></p><p>- Collaborate with engineers to optimize inference performance and reduce latency in production.<br/><br/></p><p>- Stay updated on best practices in applied ML, data engineering, and MLOps.<br/><br/><b>Requirements : </b><br/><br/>- Experience in building and deploying ML models into production.<br/><br/></p><p>- Strong proficiency in Python and ML frameworks (e.
g., PyTorch, TensorFlow, Scikit-learn).<br/><br/></p><p>- Experience with data processing frameworks (e.
g., Pandas, Spark) and scalable data pipelines.<br/><br/></p><p>- Hands-on experience with cloud platforms (AWS, GCP, Azure) and containerization tools (Docker, Kubernetes).<br/><br/></p><p>- Familiarity with CI/CD pipelines and workflow orchestration tools (Airflow, Prefect, Dagster).<br/><br/></p><p>- Strong understanding of software engineering principles, APIs, and system design.<br/><br/></p><p>- Ability to debug, optimize, and scale ML workloads in production environments.<br/><br/><b>Bonus Points : </b><br/><br/>- Experience with monitoring/observability tools for ML systems (e.
g., Evidently AI, Prometheus, Grafana).<br/><br/></p><p>- Exposure to vector databases, RAG pipelines, or real-time inference systems.<br/><br/></p><p>- Familiarity with MLflow, Kubeflow, or other experiment management platforms.<br/><br/></p><p>- Contributions to open-source ML/MLOps projects.</p><br/></p> (ref:hirist.tech)
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Unlock Your MLOps Engineer Potential: Insight & Career Growth Guide
Real-time MLOps Engineer Jobs Trends in Gurugram, 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 Engineer in Gurugram, 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 590620 jobs in India and 7531 jobs in Gurugram. This comprehensive analysis highlights market share and opportunities for professionals in MLOps Engineer roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Pylon Management Consulting is currently hiring and seeking a MLOps Engineer Python to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: MLOps Engineer Python Jobs Gurugram.
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 Pylon Management Consulting adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a MLOps Engineer Python Jobs India varies, but the pay scale is rated "Standard" in Gurugram. 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 Engineer Python 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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Before the Interview:To prepare for your MLOps Engineer Python interview at Pylon Management Consulting, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Pylon Management Consulting's products or services and be prepared to discuss how you can contribute to their success.
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