ML/AI Engineer - Classical ML

The Role:

• You will help transform machine learning solutions into reliable, scalable, production-ready systems.
• You will collaborate with Data Science teams to operationalize models and build robust data processing pipelines.

What You'll Do:

• Deploy, integrate, and maintain machine learning models in production environments.
• Design and manage industrialized data processing pipelines and MLOps workflows.
• Present technical solutions to internal and external stakeholders clearly.

Requirements:

• At least 5 years of data engineering experience and production-ready Python development.
• Hands-on experience with MLOps/LLMOps tools like Azure ML or Google Cloud Vertex AI.
• Strong knowledge of big data platforms such as Databricks, Spark, and PySpark.

Benefits:

• 100% remote work from anywhere in India with flexible working hours.
• Continuous learning through Udemy, certifications, and capability development programs.
• Career progression and well-being initiatives in a collaborative, inclusive environment.