Engineer - Data Engineering & AI/ML

Description :

About Us is building cutting-edge SaaS solutions powered by AI, ML, and data engineering. As we expand our Databricks practice, were looking for a versatile engineer who can design scalable data pipelines, build AI/ML models, and contribute to customer-facing solution discussions. This role blends technical excellence with business impact.

Role Overview :

This role is ideal for someone who thrives across the stackfrom data engineering workflows to AI/ML model deployment, and occasionally supporting pre-sales conversations. Youll play a key role in building our Databricks-powered data platform, enabling advanced analytics, and integrating it seamlessly with our product ecosystem.

Key Responsibilities :

Data Engineering :

- 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.

AI/ML Engineering :

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

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

- Optimize ML workflows for scalability and performance on Databricks.

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

Full Stack Development :

- 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.

Cloud & Infrastructure :

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

- Implement CI/CD pipelines and agile development practices.

Pre-Sales & Business Enablement (Bonus) :

- 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.

Required Qualifications :

- Bachelors 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.