AI/ML Engineer

1 week ago

Pune, Maharashtra, India Talent Corner HR Services Pvt Ltd Full time

About Us is building cutting-edge SaaS solutions powered by AI, ML, and data engineering. As we expand our Databricks practice, we're 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. You'll 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 o Architect and maintain scalable data pipelines using Python, Pandas, and Spark. o Leverage Databricks for ETL workflows, large-scale data processing, and analytics. o Design and implement storage solutions (MySQL, PostgreSQL, MongoDB, etc.). o Ensure smooth integration across systems using RESTful APIs.


• AI/ML Engineering o Build, train, and deploy ML models for predictive analytics and automation. o Collaborate with product teams to embed ML features into SaaS applications. o Optimize ML workflows for scalability and performance on Databricks. o Stay current with emerging AI/ML frameworks and best practices.


• Full Stack Development o Develop backend services and APIs in Python. o Build responsive frontend components using JavaScript and React. o Configure and manage web servers (e.g., Nginx) for performance and security.


• Cloud & Infrastructure o Deploy and maintain AWS services (Lambda, API Gateway, S3, EC2). o Implement CI/CD pipelines and agile development practices.


• Pre-Sales & Business Enablement (Bonus)

o Support solution demos and technical discussions with prospective clients. o Translate technical capabilities into business value during pre-sales engagements. o Collaborate with sales and leadership to shape proposals and pitches.

Required Qualifications


• 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.

Sahiba

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