Python Developer

Hyderabad , India
full-time

AI overview

Contribute to building a high-performance machine learning engineering platform, focusing on scalable solutions and optimizing model deployment pipelines.

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

InfraCloud is a premier technology company specializing in Cloud Native and Kubernetes Consulting Services. They help companies modernize applications and infrastructure with cloud native technologies for resilience and scalability. With a team of elit...

View all jobs
Ace your job interview

Understand the required skills and qualifications, anticipate the questions you may be asked, and study well-prepared answers using our sample responses.

Python Developer Q&A's
Report this job

This job is no longer available