We are looking for a highly skilled Databricks AI Engineer with strong hands-on experience in Databricks, Databricks Apps, and AI/ML solutions built on the Databricks platform.
Key Responsibilities:
Design, develop, and deploy scalable data and AI solutions using Databricks.
Build and manage Databricks Apps for enterprise use cases.
Develop AI/ML applications leveraging Databricks AI capabilities, including LLMs, GenAI, and ML workflows.
Work with data engineering teams to build robust data pipelines and optimize performance.
Integrate Databricks solutions with cloud services and enterprise applications.
Collaborate with cross-functional teams to deliver AI-driven products and solutions.
Required Skills:
Strong hands-on experience with Databricks.
Experience building and deploying Databricks Apps.
Proven experience delivering AI/ML or Generative AI projects on the Databricks platform.
Knowledge of Python, SQL, and Apache Spark.
Experience with Databricks ML, Model Serving, MLflow, Vector Search, or Mosaic AI is preferred.
Familiarity with cloud platforms such as Azure, AWS, or GCP.
Excellent problem-solving and communication skills.
Preferred Qualifications:
Experience working on enterprise Databricks products or AI-based solutions.
Understanding of MLOps and model deployment best practices.
Databricks certifications are a plus.
Job Types: Full-time, Permanent
Pay: ₹600,000.00 - ₹900,000.00 per year
Benefits:
- Health insurance
- Internet reimbursement
- Work from home
Application Question(s):
- Have you built or deployed Databricks Apps?
- How many AI/ML or Generative AI projects have you delivered using Databricks?
- Which Databricks AI technologies have you worked with?
Experience:
- Databricks: 4 years (Required)
- PySpark: 3 years (Preferred)
Work Location: Remote
📌 Databricks Consultant (India)
🏢 Yoda Technologies
📍 India
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