467 Machine Learning Architect jobs in Bengaluru

Job Summary

We are looking for a highly skilled Technical Architect with expertise in AWS, Generative AI, AI/ML, and scalable production-level architectures. The ideal candidate should have experience handling multiple clients, leading technical teams, and designing end-to-end cloud-based AI solutions with an overall experience of 9-12 years.

This role involves architecting AI/ML/GenAI-driven applications, ensuring best practices in cloud deployment, security, and scalability while collaborating with cross-functional teams.

Key Responsibilities

Technical Leadership & Architecture

• Design and implement scalable, secure, and high-performance architectures on AWS for AI/ML applications.
• Architect multi-tenant, enterprise-grade AI/ML solutions using AWS services like SageMaker, Bedrock, Lambda, API Gateway, DynamoDB, ECS, S3, OpenSearch, and Step Functions.
• Lead full lifecycle development of AI/ML/GenAI solutions—from PoC to production—ensuring reliability and performance.
• Define and implement best practices for MLOps, DataOps, and DevOps on AWS.

AI/ML & Generative AI Expertise

• Design Conversational AI, RAG (Retrieval-Augmented Generation), and Generative AI architectures using models like Claude (Anthropic), Mistral, Llama, and Titan.
• Optimize LLM inference pipelines, embeddings, vector search, and hybrid retrieval strategies for AI-based applications.
• Drive ML model training, deployment, and monitoring using AWS SageMaker and AI/ML pipelines.

Cloud & Infrastructure Management

• Architect event-driven, serverless, and microservices architectures for AI/ML applications.
• Ensure high availability, disaster recovery, and cost optimization in cloud deployments.
• Implement IAM, VPC, security best practices, and compliance.

Team & Client Engagement

• Lead and mentor a team of ML engineers, Python Developer and Cloud Engineers.
• Collaborate with business stakeholders, product teams, and multiple clients to define requirements and deliver AI/ML/GenAI-driven solutions.
• Conduct technical workshops, training sessions, and knowledge-sharing initiatives.

Multi-Client & Business Strategy

• Manage multiple client engagements, delivering AI/ML/GenAI solutions tailored to their business needs.
• Define AI/ML/GenAI roadmaps, proof-of-concept strategies, and go-to-market AI solutions.
• Stay updated on cutting-edge AI advancements and drive innovation in AI/ML offerings.

Key Skills & Technologies

Cloud & DevOps

• AWS Services: Bedrock, SageMaker, Lambda, API Gateway, DynamoDB, S3, ECS, Fargate, OpenSearch, RDS
• MLOps: SageMaker Pipelines, CI/CD (CodePipeline, GitHub Actions, Terraform, CDK)
• Security: IAM, VPC, CloudTrail, GuardDuty, KMS, Cognito

AI/ML & GenAI

• LLMs & Generative AI: Bedrock (Claude, Mistral, Titan), OpenAI, Llama
• ML Frameworks: TensorFlow, PyTorch, LangChain, Hugging Face
• Vector DBs: OpenSearch, Pinecone, FAISS
• RAG Pipelines, Prompt Engineering, Fine-tuning

Software Architecture & Scalability

• Serverless & Microservices Architecture
• API Design & GraphQL
• Event-Driven Systems (SNS, SQS, EventBridge, Step Functions)
• Performance Optimization & Auto Scali

Job Summary

We are looking for a highly skilled Technical Architect with expertise in AWS, Generative AI, AI/ML, and scalable production-level architectures. The ideal candidate should have experience handling multiple clients, leading technical teams, and designing end-to-end cloud-based AI solutions with an overall experience of 9-12 years.

This role involves architecting AI/ML/GenAI-driven applications, ensuring best practices in cloud deployment, security, and scalability while collaborating with cross-functional teams.

Key Responsibilities

Technical Leadership & Architecture

• Design and implement scalable, secure, and high-performance architectures on AWS for AI/ML applications.
• Architect multi-tenant, enterprise-grade AI/ML solutions using AWS services like SageMaker, Bedrock, Lambda, API Gateway, DynamoDB, ECS, S3, OpenSearch, and Step Functions.
• Lead full lifecycle development of AI/ML/GenAI solutions—from PoC to production—ensuring reliability and performance.
• Define and implement best practices for MLOps, DataOps, and DevOps on AWS.

AI/ML & Generative AI Expertise

• Design Conversational AI, RAG (Retrieval-Augmented Generation), and Generative AI architectures using models like Claude (Anthropic), Mistral, Llama, and Titan.
• Optimize LLM inference pipelines, embeddings, vector search, and hybrid retrieval strategies for AI-based applications.
• Drive ML model training, deployment, and monitoring using AWS SageMaker and AI/ML pipelines.

Cloud & Infrastructure Management

• Architect event-driven, serverless, and microservices architectures for AI/ML applications.
• Ensure high availability, disaster recovery, and cost optimization in cloud deployments.
• Implement IAM, VPC, security best practices, and compliance.

Team & Client Engagement

• Lead and mentor a team of ML engineers, Python Developer and Cloud Engineers.
• Collaborate with business stakeholders, product teams, and multiple clients to define requirements and deliver AI/ML/GenAI-driven solutions.
• Conduct technical workshops, training sessions, and knowledge-sharing initiatives.

Multi-Client & Business Strategy

• Manage multiple client engagements, delivering AI/ML/GenAI solutions tailored to their business needs.
• Define AI/ML/GenAI roadmaps, proof-of-concept strategies, and go-to-market AI solutions.
• Stay updated on cutting-edge AI advancements and drive innovation in AI/ML offerings.

Key Skills & Technologies

Cloud & DevOps

• AWS Services: Bedrock, SageMaker, Lambda, API Gateway, DynamoDB, S3, ECS, Fargate, OpenSearch, RDS
• MLOps: SageMaker Pipelines, CI/CD (CodePipeline, GitHub Actions, Terraform, CDK)
• Security: IAM, VPC, CloudTrail, GuardDuty, KMS, Cognito

AI/ML & GenAI

• LLMs & Generative AI: Bedrock (Claude, Mistral, Titan), OpenAI, Llama
• ML Frameworks: TensorFlow, PyTorch, LangChain, Hugging Face
• Vector DBs: OpenSearch, Pinecone, FAISS
• RAG Pipelines, Prompt Engineering, Fine-tuning

Software Architecture & Scalability

• Serverless & Microservices Architecture
• API Design & GraphQL
• Event-Driven Systems (SNS, SQS, EventBridge, Step Functions)
• Performance Optimization & Auto Scali

Role : Associate Architect - Machine Learning (Gen AI)

Experience : 6 to 8 Years

Location : Bangalore / Mumbai (Hybrid)

Job Summary:

We are looking for an experienced Associate Architect - Machine Learning to join our team, focused on building Agentic AI workflows, fine-tuning Large Language Models (LLMs), performing prompt engineering, and applying related generative AI techniques. The ideal candidate will have expertise in cutting-edge AI technologies and the ability to design, develop, and deploy AI solutions that can autonomously perform tasks with minimal human intervention.

Roles and Responsibilities:

• Agentic AI Development : Design, develop, and optimize domain adaptive agentic AI systems that helps in automating business processes
• LLM Fine-Tuning : Work with large-scale pre-trained models (like Llama, Mistral etc.) to fine-tune with techniques like PEFT, SFT and adapt them for specific applications and domains. Evaluate and Optimize for performance, accuracy, and efficiency.
• Prompt Engineering : Design prompts with techniques like Chain of Thought, Few Shot to enhance model responses, ensuring that model outputs are aligned with use case requirements.
• AI Workflow Automation : Build end-to-end workflows for AI solutions, from data collection and preprocessing to training, deployment, and continuous improvement in production environments.
• Collaboration with Cross-functional Teams : Work closely with data scientists, software engineers, and product managers to define AI product requirements and deliver innovative solutions.
• Research & Development : Stay current with the latest research and developments in generative AI, deep learning, NLP, reinforcement learning, and related fields to ensure that the organization stays at the forefront of technology.
• Scaling and Deployment : Deploy machine learning models at scale, optimizing for latency, throughput, and robustness in production environments.
• Documentation & Reporting : Maintain clear documentation of models, workflows, and experiments, and communicate results effectively to stakeholders.

Skill Set Required:

Experience :

• Minimum 5+ years of hands-on experience in machine learning and AI engineering.
• Proven track record in working with LLMs such as Llama, Mistral and models like GPT, BERT, T5, or similar.
• Expertise in designing, fine-tuning, and deploying generative AI models and building agentic workflows.
• Strong experience in prompt engineering to optimize AI models performance.

Technical Skills :

• Proficiency in Python, TensorFlow, PyTorch, or other ML frameworks.
• Proficiency in building agentic workflows with tools like Langgraph, CrewAI, Autogen, PhiData or similar.
• Familiarity with cloud platforms (AWS, GCP, Azure) for deployment and scaling of models.
• Experience with NLP tasks, such as text classification, text generation, summarization, and question answering.
• Knowledge of reinforcement learning, multi-agent systems, or other autonomous decision-making frameworks.
• Familiarity with SDLC life cycle , data processing tools (e.g., Pandas, NumPy, etc.) and version control (e.g., Git).

Soft Skills :

• Strong problem-solving and analytical skills.
• Excellent communication and teamwork abilities to collaborate with stakeholders.
• Ability to work independently and drive projects to completion with minimal supervision.

Preferred Skills & Qualifications:

• Experience in deploying AI models at scale in production environments.
• Expertise in large-scale data processing, optimization techniques, and model deployment.

Role : Associate Architect - Machine Learning (Gen AI)

Experience : 6 to 8 Years

Location : Bangalore / Mumbai (Hybrid)

Job Summary:

We are looking for an experienced Associate Architect - Machine Learning to join our team, focused on building Agentic AI workflows, fine-tuning Large Language Models (LLMs), performing prompt engineering, and applying related generative AI techniques. The ideal candidate will have expertise in cutting-edge AI technologies and the ability to design, develop, and deploy AI solutions that can autonomously perform tasks with minimal human intervention.

Roles and Responsibilities:

• Agentic AI Development : Design, develop, and optimize domain adaptive agentic AI systems that helps in automating business processes
• LLM Fine-Tuning : Work with large-scale pre-trained models (like Llama, Mistral etc.) to fine-tune with techniques like PEFT, SFT and adapt them for specific applications and domains. Evaluate and Optimize for performance, accuracy, and efficiency.
• Prompt Engineering : Design prompts with techniques like Chain of Thought, Few Shot to enhance model responses, ensuring that model outputs are aligned with use case requirements.
• AI Workflow Automation : Build end-to-end workflows for AI solutions, from data collection and preprocessing to training, deployment, and continuous improvement in production environments.
• Collaboration with Cross-functional Teams : Work closely with data scientists, software engineers, and product managers to define AI product requirements and deliver innovative solutions.
• Research & Development : Stay current with the latest research and developments in generative AI, deep learning, NLP, reinforcement learning, and related fields to ensure that the organization stays at the forefront of technology.
• Scaling and Deployment : Deploy machine learning models at scale, optimizing for latency, throughput, and robustness in production environments.
• Documentation & Reporting : Maintain clear documentation of models, workflows, and experiments, and communicate results effectively to stakeholders.

Skill Set Required:

Experience :

• Minimum 5+ years of hands-on experience in machine learning and AI engineering.
• Proven track record in working with LLMs such as Llama, Mistral and models like GPT, BERT, T5, or similar.
• Expertise in designing, fine-tuning, and deploying generative AI models and building agentic workflows.
• Strong experience in prompt engineering to optimize AI models performance.

Technical Skills :

• Proficiency in Python, TensorFlow, PyTorch, or other ML frameworks.
• Proficiency in building agentic workflows with tools like Langgraph, CrewAI, Autogen, PhiData or similar.
• Familiarity with cloud platforms (AWS, GCP, Azure) for deployment and scaling of models.
• Experience with NLP tasks, such as text classification, text generation, summarization, and question answering.
• Knowledge of reinforcement learning, multi-agent systems, or other autonomous decision-making frameworks.
• Familiarity with SDLC life cycle , data processing tools (e.g., Pandas, NumPy, etc.) and version control (e.g., Git).

Soft Skills :

• Strong problem-solving and analytical skills.
• Excellent communication and teamwork abilities to collaborate with stakeholders.
• Ability to work independently and drive projects to completion with minimal supervision.

Preferred Skills & Qualifications:

• Experience in deploying AI models at scale in production environments.
• Expertise in large-scale data processing, optimization techniques, and model deployment.

Role : Associate Architect - Machine Learning (Gen AI)

Experience : 6 to 8 Years

Location : Bangalore / Mumbai (Hybrid)

Job Summary:

We are looking for an experienced Associate Architect - Machine Learning to join our team, focused on building Agentic AI workflows, fine-tuning Large Language Models (LLMs), performing prompt engineering, and applying related generative AI techniques. The ideal candidate will have expertise in cutting-edge AI technologies and the ability to design, develop, and deploy AI solutions that can autonomously perform tasks with minimal human intervention.

Roles and Responsibilities:

• Agentic AI Development : Design, develop, and optimize domain adaptive agentic AI systems that helps in automating business processes
• LLM Fine-Tuning : Work with large-scale pre-trained models (like Llama, Mistral etc.) to fine-tune with techniques like PEFT, SFT and adapt them for specific applications and domains. Evaluate and Optimize for performance, accuracy, and efficiency.
• Prompt Engineering : Design prompts with techniques like Chain of Thought, Few Shot to enhance model responses, ensuring that model outputs are aligned with use case requirements.
• AI Workflow Automation : Build end-to-end workflows for AI solutions, from data collection and preprocessing to training, deployment, and continuous improvement in production environments.
• Collaboration with Cross-functional Teams : Work closely with data scientists, software engineers, and product managers to define AI product requirements and deliver innovative solutions.
• Research & Development : Stay current with the latest research and developments in generative AI, deep learning, NLP, reinforcement learning, and related fields to ensure that the organization stays at the forefront of technology.
• Scaling and Deployment : Deploy machine learning models at scale, optimizing for latency, throughput, and robustness in production environments.
• Documentation & Reporting : Maintain clear documentation of models, workflows, and experiments, and communicate results effectively to stakeholders.

Skill Set Required:

Experience :

• Minimum 5+ years of hands-on experience in machine learning and AI engineering.
• Proven track record in working with LLMs such as Llama, Mistral and models like GPT, BERT, T5, or similar.
• Expertise in designing, fine-tuning, and deploying generative AI models and building agentic workflows.
• Strong experience in prompt engineering to optimize AI models performance.

Technical Skills :

• Proficiency in Python, TensorFlow, PyTorch, or other ML frameworks.
• Proficiency in building agentic workflows with tools like Langgraph, CrewAI, Autogen, PhiData or similar.
• Familiarity with cloud platforms (AWS, GCP, Azure) for deployment and scaling of models.
• Experience with NLP tasks, such as text classification, text generation, summarization, and question answering.
• Knowledge of reinforcement learning, multi-agent systems, or other autonomous decision-making frameworks.
• Familiarity with SDLC life cycle , data processing tools (e.g., Pandas, NumPy, etc.) and version control (e.g., Git).

Soft Skills :

• Strong problem-solving and analytical skills.
• Excellent communication and teamwork abilities to collaborate with stakeholders.
• Ability to work independently and drive projects to completion with minimal supervision.

Preferred Skills & Qualifications:

• Experience in deploying AI models at scale in production environments.
• Expertise in large-scale data processing, optimization techniques, and model deployment.

We help the world run better

At SAP, we enable you to bring out your best. Our company culture is focused on collaboration and a shared passion to help the world run better. How? We focus every day on building the foundation for tomorrow and creating a workplace that embraces differences, values flexibility, and is aligned to our purpose-driven and future-focused work. We offer a highly collaborative, caring team environment with a strong focus on learning and development, recognition for your individual contributions, and a variety of benefit options for you to choose from.

Gen AI Enterprise Lead Architectfor Joule 

Yes! You read it right!

Here is an exciting opportunity for you to be a part of driving the development of SAP’s big rock investment JOULE. Join our team and get a chance to shape SAP’s vision and future in a ‘true sense’. It is an opportunity to be part of the next big ride of SAP!

As a Joule and Gen AI Architect, you will play a crucial role in shaping SAP’s vision and future by working on building a platform that provides natural language processing capabilities and integrates seamlessly with other SAP products, ultimately serving the dream of one unified digital assistant for SAP powered by LLMs. As an architect of the team, you will be leading by example to the rest of the team.

We are looking for a person who brings,

Technical competencies.

Technical languages: a minimum of 15+ years of hands-on experience in Java, Spring Boot, Kafka, SAP HANA, Redis, SAP BTP, and the Playwright test framework. Strong conceptual clarity of OOPs.

Component architecture: The great responsibility (comes with accountability) of architecting a piece of code that runs across all SAP systems for millions of users. The candidate should be very strong in the architecture concepts, architecture diagrams and SAP’s terminologies.

Coding and Debugging: Write clean, efficient, well-documented code, and actively participate in debugging and troubleshooting activities with the “ownership mindset”.
Reviewing the peer's code: it is not just your code that breaks the application, but any crazy piece! You will have ownership of the scrum team’s code review.

Software Development Lifecycle: Contribute to software solutions' development, testing, and deployment under the guidance and mentorship of experienced agile engineers. Participate and contribute to the design and architecture of your component. Participate in the code reviews.

Own your deliverable: involvement in all agile phases to bring life to your code including testing.

Performance aspects: The scale comes with the responsibility. The Joule adoption has made us consider performance as the core ingredient for our production release. So this role will also focus on the performance aspects of Joule and would be the technical owner of the topic.

“Right Mindset”.
Team first attitude. Ensure we win together as a team. Work together with other scrum team developers, cross-functional and locational teams or cross lines of business. Remember you are building a solution for the entire suite of SAP applications.
Processes are proven ways to meet the destination. Be serious about the Agile methodologies and live with it.
Challenge the status quo. Always challenge the status quo. Always unlearn, relearn. Remember you will be working on cutting-edge technologies every day you see a revolution.

“The innovation mindset”
Utilize the hype around Gen AI, Business AI and Joule. You will be in the best place to work on cutting-edge technologies where things are rapidly evolving every day. Ensure you ride in the waves. Bring new ideas, concepts and prototypes in the cutting-edge technologies’ alignment with the strategy.

Meet your team:

You will join the Joule team, which plays a pivotal role in today’s SAP’s Business AI Strategy. You will be working with the AI Functions team which is pioneering bringing the SAP’s Business AI Strategy into reality. Our AI organization supports SAP's customers in becoming Intelligent Enterprises by implementing our AI Winning Strategy. As a member of this team, you will have the opportunity to contribute to cutting-edge AI technologies, and Gen AI technologies and make a significant impact on the future of business operations.

If you are excited about working on groundbreaking projects, collaborating with talented professionals, and shaping the future of AI, we want to hear from you. Apply now and be a part of our dynamic and innovative team.

Bring out your best

SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.

Job description

A job where you increase the depth of your expertise in computer vision.

A job where you learn and implement the SOTA papers.

A job where you write vectorized code that runs in seconds, not in minutes.

A job where models learn to see and understand the world around them.

A job where models run real-time because you optimize every byte.

A job where you keep the career promises that you made to yourself.

A job where you keep the learning promises that you made to yourself.

If this scares you, don't read. If this excites you, we might love you.

We are looking for a passionate Machine Learning Engineer to join our team. The ideal candidate will be an enthusiastic developer with 3-5 years of experience in the field of Computer Vision and Artificial Intelligence. If building things and writing code excite you, this is the startup you belong.

Key Technologies:

• Must be an expert in Python and Numpy.
• Experience with Tensorflow/Keras/Pytorch is required.
• Unsatiable hunger for writing beautiful code.
• Knowledge of python design-patterns.
• Some experience with C++ is preferred.
• Knowledge working closely with version control (GIT).
• Excellent communication skills and being able to work independently.
• Strong problem-solving and coding skills override everything else written above.

About AIMonk:

Run by IIT Kanpur alumni, AIMonk is a deep tech startup. We build beautiful and scalable software using computer vision and deep learning. We pride ourselves in solving problems nobody else can in the space.