Urgent! ML Engineer - Generative AI Job Opening In India, India – Now Hiring TESTQ Technologies Limited
<p><p><b>Description : </b></p><p><br/></p><p>The ML Engineer will be responsible for developing, deploying, and managing production-grade Machine Learning, AI, and Generative AI models on the Snowflake platform.<br/><br/>The role involves end-to-end ownership of ML pipelines, from model training and versioning to deployment and monitoring.<br/><br/>The ideal candidate will have strong experience in Python programming, SQL optimization, MLOps practices, and containerized deployments.<br/><br/>This position requires close collaboration with data engineering, analytics, and DevOps teams to ensure efficient model integration, automation, and scalability in a cloud-based environment.<br/><br/><b>Key Responsibilities :</b><br/><br/>- Design, build, and deploy ML, AI, and GenAI models within Snowflakes data and compute ecosystem.<br/><br/>- Develop automated data pipelines and workflows to support continuous model training and deployment.<br/><br/>- Implement CI/CD and MLOps best practices using tools such as MLflow, Git, and cloud-based DevOps pipelines.<br/><br/>- Manage model lifecycle, including version control, experiment tracking, and performance monitoring.<br/><br/>- Integrate and operationalize models within production systems through APIs and scheduled jobs.<br/><br/>- Work with data teams to optimize SQL queries, ensure data consistency, and manage model input pipelines.<br/><br/>- Implement Docker-based model deployment workflows and ensure reproducibility across environments.<br/><br/>- Collaborate with cross-functional teams to streamline data access, testing, and release management.<br/><br/>- Ensure scalability, performance, and reliability of deployed models within Snowflake and connected systems.<br/><br/>- Maintain documentation, performance dashboards, and deployment logs to ensure traceability and 4 to 8 years of experience in machine learning engineering, data engineering, or AI solution deployment.<br/><br/>- Hands-on experience deploying ML and GenAI models on Snowflake or equivalent data platforms.<br/><br/>- Strong programming skills in Python with experience in model training, testing, and inference.<br/><br/>- Proficiency in SQL for data extraction, transformation, and analysis within enterprise databases.<br/><br/>- Experience in MLflow for experiment tracking, model registry, and deployment orchestration.<br/><br/>- Working knowledge of CI/CD pipelines, version control, and DevOps tools such as Jenkins, GitLab, or Azure DevOps.<br/><br/>- Practical exposure to containerization and deployment using Docker.<br/><br/>- Understanding of MLOps principles including model retraining, drift detection, and monitoring.<br/><br/>- Ability to work in cross-functional teams and deliver high-quality, production-ready solutions</p><br/></p> (ref:hirist.tech)
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Unlock Your ML Engineer Potential: Insight & Career Growth Guide
Real-time ML Engineer 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 ML Engineer 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 594403 jobs in India and 40944 jobs in India. This comprehensive analysis highlights market share and opportunities for professionals in ML Engineer 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 ML 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 ML 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.
Key qualifications for ML Engineer Generative AI 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 ML Engineer Generative AI interview at TESTQ Technologies Limited, 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 TESTQ Technologies Limited's products or services and be prepared to discuss how you can contribute to their success.
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