ML/AI Engineer - Classical ML

📋 Description

• Collaborate with Data Science teams to deploy, integrate, and maintain machine learning models in
• Develop practical and innovative ML, AI, and LLM automation solutions that improve scalability
• Design, implement, and manage industrialized data processing pipelines and production-ready machine
• Define and implement best practices for the machine learning lifecycle, MLOps, and LLMOps, ensuring
• Implement and support AI engineering, MLOps, and LLMOps frameworks, helping Data Science teams
• Research and apply modern techniques, tools, and frameworks for machine learning architecture and

🎯 Requirements

• At least 5 years of data engineering experience, including the last 3 years focused on building and
• Hands-on experience developing and deploying production-grade machine learning recommendation
• At least 5 years of experience writing production-ready Python code, including microservices, APIs
• At least 3 years of experience developing production-ready code for machine learning applications.
• Practical experience with MLOps and LLMOps tools and platforms, such as Azure Machine Learning
• Hands-on experience with Databricks and familiarity with big data processing technologies

🎁 Benefits

• 100% remote work: Work from anywhere in India with the flexibility to organize your working
• Flexible working hours: Enjoy greater autonomy in managing your schedule and work-life balance.
• Full-time, stable employment: Join an established international organization with a long-standing
• Structured onboarding: Benefit from a comprehensive online onboarding program and support from a
• Expert collaboration: Work alongside experienced engineers, technical specialists, and data science
• Continuous learning: Access the Udemy learning platform from day one to strengthen your technical