Verified Job
Engineering - Architecture
Data Engineer / ML Engineer
Engineering - Architecture
#730256
Remote / WFH
Arrow Electronics
Job Description
Position:
Data Engineer / ML Engineer
Job 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
Location:
IN-GJ-Ahmedabad, India-Ognaj (eInfochips)
Time Type:
Full time
Job Category:
Engineering Services
Data Engineer / ML Engineer
Job 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
Location:
IN-GJ-Ahmedabad, India-Ognaj (eInfochips)
Time Type:
Full time
Job Category:
Engineering Services
