Product Engineer (Onsite, Hyderabad)

Experience

: 5.00 + years

Salary

: INR 3000000-3200000 / year (based on experience)

Expected Notice Period

: 15 Days

Shift

: (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, Machine learning (ML)IF is Looking for:

Product Engineer

Location:

Narsingi, Hyderabad5 days of work from the OfficeClient 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
  

How to apply for this opportunity?

• Step 1: Click On Apply! And Register or Login on our portal.
• Step 2: Complete the Screening Form & Upload updated Resume
• Step 3: Increase your chances to get shortlisted & meet the client for the Interview!
  

About Uplers:

Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement.(Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well).So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!