AI/ML Engineer

7 days ago


Pune, 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 8296043355


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