Artificial Intelligence/Machine Learning Engineer
Posted on: 19/11/2025
Job Description
Description :
Type : Full-time | Work from Office
About Us
Ergobite 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 stack -from 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.
- 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 :
- 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.
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Posted By
37
Posted in
AI/ML
Functional Area
ML / DL Engineering
Job Code
1577479
