1.0 - 5.0 years

0 Lacs

indore, madhya pradesh

On-site

Role Overview: As a Machine Learning Engineer, you will be responsible for developing proof of concepts (POCs) and implementing basic ML models. You will also be required to train and optimize these models, perform data preprocessing, and work with small to medium-sized datasets. Additionally, you will need to utilize ML/AI APIs from platforms such as GCP, AWS, or Azure, and collaborate with teams to integrate ML models into applications. Key Responsibilities: - Develop proof of concepts (POCs) and implement basic ML models. - Train and optimize basic ML models and perform data preprocessing. - Work with small to medium-sized datasets. - Use ML/AI APIs from GCP, AWS, or Azure. - Collaborate ...

Posted 2 weeks ago

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ML Engineer HARMAN India

6.0 - 8.0 years

0 Lacs

bengaluru, karnataka, india

On-site

Resource Skill: 6 to 8 Years of experience (T3 (B)), Core AI & ML Foundations Strong understanding of Machine Learning (ML) concepts Knowledge of Deep Learning architectures Experience with Natural Language Processing (NLP) embeddings, tokenization, text generation, summarization. Familiarity with Large Language Models (LLMs) GPT, LLaMA, Claude, Mistral, etc. Technical Skills Python (core language for AI/ML). Libraries: OpenAI API, Lang Chain. Familiarity with REST APIs, GraphQL APIs to integrate AI models. Strong SQL skills for data extraction & preparation. Experience on Azure platform - Semantic Kernel, Azure Foundry, Agentic AI Fast API or Flask-RESTful framework and ML Devops

Posted 3 weeks ago

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Job Title: Senior (ML Ops) arun.raja@dhira.ai Dhira Software Labs

5.0 - 10.0 years

18 - 32 Lacs

bengaluru

Remote

Job Title: Senior Android Engineer (ML Ops) arun.raja@dhira.ai Job Title: Senior Android Engineer (ML Ops) Type: Full-time Experience Level: Mid to Senior (5 to 10 years) Position Summary We are seeking an experienced Senior Android Engineer (ML Ops) with a strong background in Android-based ML deployments to lead the integration and scaling of machine learning solutions across diverse domains. The ideal candidate will have hands-on experience deploying computer vision models, particularly ResNet and dlib , on Android devices. This role involves end-to-end ownership of ML pipelines, from model optimization and deployment to monitoring, asset management, and ensuring seamless production perfo...

Posted 1 month ago

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