Machine Learning Engineer Feuji Software Solutions

4.0 - 7.0 years

6 - 16 Lacs

hyderabad

Work from Office

Job Specification: Builds and deploys machine learning models across supervised, unsupervised, and deep learning use cases. Implements feature engineering, hyperparameter tuning, and model evaluation, while maintaining automated training and deployment pipelines using tools like ML flow, Kubeflow, and Airflow. Ensures production reliability through continuous monitoring, performance tracking, and data pipeline optimization. Key Responsibilities: ML Model Development Develop and deploy ML models (supervised, unsupervised, deep learning). Perform feature engineering, model selection, and hyperparameter tuning. Implement model evaluation and interpretability techniques (SHAP, LIME). MLOps & ML ...

Posted 1 week ago

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Generative AI Lead Engineer Tekskills Inc.

0.0 years

0 Lacs

pune, maharashtra, india

On-site

Role Overview We are seeking a Lead Gen AI Engineer with proven experience in building and deploying Generative AI and scaled ML systems. The role involves end-to-end ownership of AI solutions from model selection, fine-tuning, and pipeline design to deployment on cloud ML platforms (AWS Sage Maker). The candidate should be able to architect multi-agent frameworks and MCP pipelines, integrate them into enterprise systems, and drive scalable, production-grade AI solutions. In addition to strong engineering skills, this role requires mentoring junior engineers, leading PoCs, and collaborating with product and research teams to shape the GenAI roadmap. Key Responsibilities Solution Architecture...

Posted 1 month ago

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Software Engineer - Backend (Python) Kryon Knowledge Works

5.0 - 7.0 years

10 - 15 Lacs

hyderabad, kondapur

Hybrid

Location: Hyderabad, Kondapur, Telangana Kindly send your resume to harisha.r@kryonknowledgeworks.com/ 91+ 93619 12010 Job Description: Title: Software Engineer - Backend (Python) About the Role: Our team is responsible for building the backend components of MLOps platform on AWS. The backend components we build are the fundamental blocks for feature engineering, feature serving, model deployment and model inference in both batch and online modes. What you'll do here: Design & build backend components of our MLOps platform on AWS. Collaborate with geographically distributed cross-functional teams. Participate in on-call rotation with the rest of the team to handle production incidents. Must ...

Posted 2 months ago

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