- This role is ideal for someone who thrives across the stack, from data engineering workflows to AI/ML model deployment, and occasionally supporting pre-sales conversations.

- You'll play a key role in building our Databricks-powered data platform, enabling advanced analytics, and integrating it seamlessly with our product ecosystem.

Responsibilities :

- Architect and maintain scalable data pipelines using Python, Pandas, and Spark.

- Leverage Databricks for ETL workflows, large-scale data processing, and analytics.

- Design and implement storage solutions (MySQL, PostgreSQL, MongoDB, etc.

- Ensure smooth integration across systems using RESTful APIs.

- Build, train, and deploy ML models for predictive analytics and automation.

- Collaborate with product teams to embed ML features into SaaS applications.

- Optimise ML workflows for scalability and performance on Databricks.

- Stay current with emerging AI/ML frameworks and best practices.

- Develop backend services and APIs in Python.

- Build responsive frontend components using JavaScript and React.

- Configure and manage web servers (e.g., Nginx) for performance and security.

- Deploy and maintain AWS services (Lambda, API Gateway, S3 EC2).

- Implement CI/CD pipelines and agile development practices.

- Support solution demos and technical discussions with prospective clients.

- Translate technical capabilities into business value during pre-sales engagements.

- Collaborate with sales and leadership to shape proposals and pitches.

Requirements :

- Bachelor's degree in Computer Science, Engineering, or related field.

- 3+ years of experience in Data Engineering, AI/ML, or Full Stack Development.

- Strong proficiency in Python, Pandas, and Spark.

- Mandatory experience with Databricks for data engineering and ML workflows.

- Solid experience with AWS services (Lambda, API Gateway, S3 EC2).

- Proficiency in JavaScript and React for frontend development.

- Experience with relational and NoSQL databases.

- Familiarity with Nginx and server configuration.

- Understanding of SDLC, CI/CD, and agile practices.

- Excellent problem-solving skills, attention to detail, and ability to work independently.

- Strong communication skills, with bonus points for pre-sales or client-facing experience.

This job was posted by Shivani Bhoras from Ergobite.