04 Nov
|
Acute InfoSoft
|
Bengaluru
04 Nov
Acute InfoSoft
Bengaluru
Senior Machine Learning Engineer / Data Scientist (Generative AI & MLOps)
Location: Chennai / Bangalore (Preferred) | Remote Considered
Experience: 8-10 Years
Employment Type: Full-Time
Joining: Immediate
Job Summary
Acute InfoSoft Pvt. Ltd. is looking for a highly skilled Senior Machine Learning Engineer / Data Scientist to join our AI team. This role is ideal for professionals with hands-on experience in Generative AI, Machine Learning, MLOps, AI Automation, and Large Language Models (LLMs).
You will design, develop, and deploy scalable AI solutions while collaborating with clients to solve complex business challenges using modern AI technologies.
Key Responsibilities
- Design, develop, and deploy production-ready Machine Learning and AI solutions.
- Build and manage end-to-end ML pipelines using Kubeflow and MLOps best practices.
- Develop AI-powered applications leveraging Claude, Model Context Protocol (MCP), AI Skills, and workflow automation.
- Build and optimize Large Language Model (LLM) applications and intelligent AI workflows.
- Collaborate with cross-functional teams to deliver scalable AI and data-driven solutions.
- Engage directly with clients to understand business requirements and provide technical recommendations.
- Monitor, optimize, and continuously improve ML models and AI systems.
Required Skills
- 8-10 years of experience as a Machine Learning Engineer, Data Scientist, or AI Engineer.
- Strong expertise in Kubeflow and MLOps pipeline orchestration.
- Hands-on experience with Claude AI, Model Context Protocol (MCP), AI Skills, and AI Automation.
- Solid understanding of Generative AI, Large Language Models (LLMs), Prompt Engineering, and AI Agents.
- Strong programming skills in Python and experience with up-to-date ML frameworks.
- Excellent communication, presentation, and client engagement skills.
- Ability to work independently and collaborate with global teams.
Preferred Qualifications
- Experience building enterprise AI platforms and production ML systems.
- Exposure to cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).
- Knowledge of containerization, Kubernetes, CI/CD, and scalable deployment architectures.
- Experience working in Agile development environments.
If youre passionate about Machine Learning, Data Science, MLOps, Generative AI, Claude AI, Kubeflow, and AI Automation, wed love to hear from you.
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
📌 Machine Learning Engineer + Data Scientist (MLE + DS) (Bengaluru)
🏢 Acute InfoSoft
📍 Bengaluru