Data Engineer / ML Engineer
Position:
Data Engineer / ML EngineerJob Description:
Position: Data & ML Engineer
Location: Ahmedabad | Pune | Indore
Experience: 4–8 Years
Preferred Notice Period: Immediate to 30 Days
About the Role
We are looking for a passionate Data & ML Engineer to join our engineering team and build scalable, production-grade data and machine learning solutions. In this role, you will design and develop robust data pipelines, deploy machine learning models, build high-performance APIs, and collaborate with cross-functional teams to deliver intelligent, cloud-native applications.
If you are passionate about solving complex data challenges and building reliable ML infrastructure at scale, we'd love to hear from you.
Key Responsibilities
Design and develop scalable feature engineering pipelines for machine learning applications.
Build and maintain batch scoring pipelines to support large-scale ML workloads.
Develop, deploy, and maintain model inference services for both real-time and batch predictions.
Design and build secure, scalable REST APIs for model serving and data integration.
Deploy, monitor, and optimize machine learning models in production environments.
Integrate ML services with upstream and downstream systems to enable seamless data flow.
Ensure the performance, reliability, scalability, and security of APIs and data pipelines.
Collaborate closely with Data Scientists, Backend Engineers, and Product teams to deliver end-to-end ML solutions.
Troubleshoot production issues and continuously improve system performance and reliability.
What We're Looking For
Required Skills
Strong proficiency in SQL.
Hands-on experience with Apache Spark and Azure Databricks.
Experience in data modeling, feature engineering, and building scalable data pipelines.
Strong programming skills in Python.
Experience developing REST APIs using FastAPI, Flask, or similar frameworks.
Good understanding of API authentication, security, scalability, and performance optimization.
Hands-on experience deploying and managing machine learning models in production.
Familiarity with software engineering best practices, including version control, testing, and code quality.
Preferred Qualifications
Bachelor's or Master's degree in Computer Science, Information Technology, Data Science, or a related field.
Experience working in Agile software development environments.
Exposure to cloud platforms such as AWS, Azure, or GCP.
Strong analytical, debugging, and problem-solving skills.
Self-motivated with the ability to work independently and take ownership of deliverables.
Why Join Us?
Work-Life Balance
Professional Growth & Learning Opportunities
Innovative and Collaborative Work Environment
Recognition & Reward Programs
Opportunity to work on cutting-edge AI/ML and data engineering solutions