Urgent! Machine Learning Engineer - Generative AI Job Opening In India, India – Now Hiring TESTQ Technologies Limited
<p><p><b>Role Overview :</b><br/><br/>We are seeking a versatile ML Engineer with strong expertise in deploying ML, AI, and GenAI models on the Snowflake platform.<br/><br/> The ideal candidate will have hands-on experience with Snowflake Cortex, building and managing ML pipelines, and utilizing tools like MLflow within DevOps and CI/CD environments.<br/><br/> Mastery of Python, SQL, Docker, and Snowpark development is essential to engineer scalable, performant AI/ML workflows.<br/><br/> Exposure to automated code review tools like Linting and Black will further enhance code quality and maintainability.<br/><br/><b>Key Responsibilities :</b><br/><br/>- Architect, develop, and deploy machine learning and Generative AI models leveraging Snowflake and its Cortex capabilities.<br/><br/>- Build, automate, and manage robust ML pipelines incorporating tracking, versioning, and model lifecycle management using tools like MLflow.<br/><br/>- Implement DevOps best practices and enable CI/CD pipelines for smooth, automated model deployment and updates.<br/><br/>- Develop reusable components and business logic using Python, SQL, and Snowpark for efficient model training and inference.<br/><br/>- Containerize ML projects with Docker to ensure reproducibility, portability, and scalable production deployments.<br/><br/>- Integrate and enforce automated code review processes using tools such as Linting and Black to maintain high code standards.<br/><br/>- Collaborate with data scientists, engineers, and infrastructure teams to optimize resource usage, model performance, and operational reliability.<br/><br/>- Monitor model health, schedule retraining, and troubleshoot production issues to ensure continuous AI service quality.<br/><br/><b>Required Skills and Qualifications :</b><br/><br/>- Strong proficiency in Python, SQL, Docker, and hands-on experience with Snowpark for building data and ML components.<br/><br/>- Experience deploying and managing ML/AI/GenAI models on the Snowflake platform, with knowledge of Snowflake Cortex.<br/><br/>- Familiarity with MLflow or similar model management tools and ability to drive end-to-end ML pipelines.<br/><br/>- Understanding of DevOps practices and CI/CD pipelines tailored to AI/ML workflows.<br/><br/>- Exposure to automated code quality tools such as Linting and Black is highly desirable.<br/><br/>- Strong collaboration, problem-solving skills, and ability to work in complex, fast-paced environments.<br/><br/><b>Recommended Experience :</b><br/><br/>- 4 to 8 years of relevant experience in ML engineering, data engineering, or AI product development roles with a focus on cloud-native data platforms</p><br/></p> (ref:hirist.tech)
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Unlock Your Machine Learning Potential: Insight & Career Growth Guide
Real-time Machine Learning Jobs Trends in India, 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 Machine Learning in India, 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 18638 jobs in India and 1412 jobs in India. This comprehensive analysis highlights market share and opportunities for professionals in Machine Learning roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! TESTQ Technologies Limited is currently hiring and seeking a Machine Learning Engineer Generative AI 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 TESTQ Technologies Limited adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Machine Learning Engineer Generative AI Jobs India varies, but the pay scale is rated "Standard" in India. 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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