Product Engineer
- Uplers
- 5 - 7 years
- Hyderabad
- 8 months ago
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Job Description
Expected Notice Period: 15 DaysShift: (GMT+05:30) Asia/Kolkata (IST)
Opportunity Type: Office (Hyderabad)
Placement Type: Full Time Permanent position(Payroll and Compliance to be managed by: InfraCloud Technologies Pvt Ltd)
(*Note: This is a requirement for one of Uplers' client - IF) What do you need for this opportunity? Must have skills required:
Banking, Fintech, Product Engineering background, Python, FastAPI, Django, MLFlow, feast, Kubeflow, NumPy, pandas, Big Data IF is Looking for:
Product Engineer
Location: Narsingi, Hyderabad
5 days of work from the Office
Client is a Payment gateway processing company
Interview Process: Screening round with InfraCloud, followed by a second round with our Director of Engineering. We share the profile with the client, and they take one/two interviews
About the Project
We are building a high-performance machine learning engineering platform that powers scalable, data-driven solutions for enterprise environments. Your expertise in Python, performance optimization, and ML tooling will play a key role in shaping intelligent systems for data science and analytics use cases. Experience with MLOps, SaaS products, or big data environments will be a strong plus.
Role and Responsibilities
- Design, build, and optimize components of the ML engineering pipeline for scalability and performance.
- Work closely with data scientists and platform engineers to enable seamless deployment and monitoring of ML models.
- Implement robust workflows using modern ML tooling such as Feast, Kubeflow, and MLflow.
- Collaborate with cross-functional teams to design and scale end-to-end ML services across a cloud-native infrastructure.
- Leverage frameworks like NumPy, Pandas, and distributed compute environments to manage large-scale data transformations.
- Continuously improve model deployment pipelines for reliability, monitoring, and automation.
Requirements
- 5+ years of hands-on experience in Python programming with a strong focus on performance tuning and optimization.
- Solid knowledge of ML engineering principles and deployment best practices.
- Experience with Feast, Kubeflow, MLflow, or similar tools.
- Deep understanding of NumPy, Pandas, and data processing workflows.
- Exposure to big data environments and a good grasp of data science model workflows.
- Strong analytical and problem-solving skills with attention to detail.
- Comfortable working in fast-paced, agile environments with frequent cross-functional collaboration.
- Excellent communication and collaboration skills.
Nice to Have
- Experience deploying ML workloads in public cloud environments (AWS, GCP, or Azure).
- Familiarity with containerization technologies like Docker and orchestration using Kubernetes.
- Exposure to CI/CD pipelines, serverless frameworks, and modern cloud-native stacks.
- Understanding of data protection, governance, or security aspects in ML pipelines.
- Experience Required: 5+ years
Job Classification
Industry: BankingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Search EngineerEmployement Type: Full timeContact Details:
Company: UplersLocation(s): Hyderabad
Keyskills: Banking Kubeflow pandas Fintech Django MLFlow Big Data Product Engineering background FastAPI NumPy Python feast
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