AI ML Engineer (Senior)
Bengaluru, Karnataka, India
- Pay
- Pay not listed
- Work setting
On-site — work setting source
Work setup in the employer’s posting: On-site
From the employer’s posting- Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting
What you’ll work on
Full postingDesign and validate end-to-end ML workflows from data ingestion to inference
Develop and fine-tune agentic AI models that adapt to user context
Build cloud-native microservices and APIs that expose ML capabilities
Integrate ML models with data lakes, Kubernetes clusters and event-driven systems
Benchmark performance, run A/B tests and scaling studies to meet SLAs
From the employer’s posting
Design, prototype, and validate end‑to‑end machine learning workflows from data ingestion to inference.
Develop and fine‑tune agentic AI models that autonomously adapt to changing user contexts.
Build cloud‑native microservices and APIs to expose ML capabilities for internal and external consumption.
Integrate ML models with enterprise platforms such as data lakes, Kubernetes clusters, and event‑driven architectures.
Conduct performance benchmarking, A/B testing, and scaling studies to meet SLAs.
What you’ll bring
All qualificationsCore experience
- 10+ years of experience in machine learning and data science with a proven track record of production deployments.
- Deep expertise in building agentic AI solutions using reinforcement learning, NLP, or multimodal models.
- Proficiency in cloud platforms (AWS, Azure, GCP) and container orchestration (Kubernetes).
- Demonstrated ability to translate business requirements into technical designs and measurable outcomes.
- Experience mentoring teams, conducting code reviews, and driving technical excellence.
- Solid understanding of data privacy, security, and compliance standards in a cloud environment.
Qualification wording
10+ years of experience in machine learning and data science with a proven track record of production deployments.
Deep expertise in building agentic AI solutions using reinforcement learning, NLP, or multimodal models.
Proficiency in cloud platforms (AWS, Azure, GCP) and container orchestration (Kubernetes).
Demonstrated ability to translate business requirements into technical designs and measurable outcomes.
Experience mentoring teams, conducting code reviews, and driving technical excellence.
Solid understanding of data privacy, security, and compliance standards in a cloud environment.
Tools in this posting
- Java
- Python
- AWS
- Azure
- GCP
- Kubernetes
- PyTorch
- TensorFlow
- Go
Source — Tool mentions in context
• Hands‑on experience with CI/CD pipelines, automated testing, and model deployment tools. • Excellent coding skills in Python, Java, or Go, with familiarity in scalable frameworks such as TensorFlow, PyTorch, or JAX. • Demonstrated ability to translate business requirements into technical designs and measurable outcomes.
• Deep expertise in building agentic AI solutions using reinforcement learning, NLP, or multimodal models. • Proficiency in cloud platforms (AWS, Azure, GCP) and container orchestration (Kubernetes). • Strong background in developing RESTful and gRPC APIs and integrating them with external systems.
• Build cloud‑native microservices and APIs to expose ML capabilities for internal and external consumption. • Integrate ML models with enterprise platforms such as data lakes, Kubernetes clusters, and event‑driven architectures. • Ensure robust model governance, monitoring, and continuous improvement cycles.
Posting record
Report an errorActively hiringFirst seen by us 2 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 27, 2026 · 2 days ago
- Recorded sightings
- 27
- Last seen by us
- Oct 30, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
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- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
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Job description
𝗧𝗵𝗶𝘀 𝗿𝗼𝗹𝗲 𝗶𝘀 𝗳𝗼𝗿 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗪𝗲𝗲𝗸𝗱𝗮𝘆'𝘀 𝗰𝗹𝗶𝗲𝗻𝘁𝘀
𝗦𝗮𝗹𝗮𝗿𝘆 𝗿𝗮𝗻𝗴𝗲: 𝗥𝘀 𝟴𝟬𝟬𝟬𝟬𝟬𝟬 - 𝗥𝘀 𝟭𝟬𝟬𝟬𝟬𝟬𝟬𝟬 (𝗶𝗲 𝗜𝗡𝗥 𝟴𝟬-𝟭𝟬𝟬 𝗟𝗣𝗔)
Experience: 10+ yrs
Location: Bengaluru
As a Senior AI ML Engineer, you will architect and deploy advanced machine learning solutions that power intelligent, agentic systems, driving business value across diverse domains. Leveraging your deep expertise in model development, you will design scalable pipelines, implement state‑of‑the‑art algorithms, and transform data into actionable predictions. You will collaborate closely with cross‑functional teams to translate complex requirements into cloud‑native applications, ensuring seamless integration with existing platforms and external APIs. Your role will also involve mentoring junior talent, championing best practices, and continuously optimizing model performance and system reliability in a fast‑moving, high‑impact environment.
Requirements
𝗞𝗲𝘆 𝗥𝗲𝘀𝗽𝗼𝗻𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀
• Design, prototype, and validate end‑to‑end machine learning workflows from data ingestion to inference.
• Develop and fine‑tune agentic AI models that autonomously adapt to changing user contexts.
• Build cloud‑native microservices and APIs to expose ML capabilities for internal and external consumption.
• Integrate ML models with enterprise platforms such as data lakes, Kubernetes clusters, and event‑driven architectures.
• Ensure robust model governance, monitoring, and continuous improvement cycles.
• Collaborate with data engineering to optimize data pipelines and feature stores.
• Mentor and guide junior engineers on best practices, coding standards, and model deployment strategies.
• Conduct performance benchmarking, A/B testing, and scaling studies to meet SLAs.
• Lead the selection and evaluation of cutting‑edge ML frameworks and cloud services.
• Document architecture, code, and operational procedures for maintainability and knowledge transfer.
𝗪𝗵𝗮𝘁 𝗠𝗮𝗸𝗲𝘀 𝗬𝗼𝘂 𝗮 𝗚𝗿𝗲𝗮𝘁 𝗙𝗶𝘁
• 10+ years of experience in machine learning and data science with a proven track record of production deployments.
• Deep expertise in building agentic AI solutions using reinforcement learning, NLP, or multimodal models.
• Proficiency in cloud platforms (AWS, Azure, GCP) and container orchestration (Kubernetes).
• Strong background in developing RESTful and gRPC APIs and integrating them with external systems.
• Hands‑on experience with CI/CD pipelines, automated testing, and model deployment tools.
• Excellent coding skills in Python, Java, or Go, with familiarity in scalable frameworks such as TensorFlow, PyTorch, or JAX.
• Demonstrated ability to translate business requirements into technical designs and measurable outcomes.
• Experience mentoring teams, conducting code reviews, and driving technical excellence.
• Solid understanding of data privacy, security, and compliance standards in a cloud environment.
• Passion for staying current with emerging AI technologies and a proactive approach to problem solving.
Source details
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Bengaluru, Karnataka, India
Working pattern and location restrictions need checking in the full posting.
- Work authorization
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