1122 Machine Learning Scientists jobs in Bengaluru

Who You Are

You're an AI Engineer with 2+ years of experience who understands that context engineering is

becoming the most important skill an AI engineer can develop. You're passionate about building

intelligent systems that solve real-world problems and excited about mastering the art of

providing the right context to unlock LLM potential in complex, dynamic applications.

Responsibilities

● Build and integrate LLM-powered features including document generation, intelligent

assessments, and conversational agents

● Design voice AI pipelines for real-time speech processing and multi-language support

● Master context engineering - dynamically managing memory, retrieval, and information

flow across complex agent trajectories

● Create agentic workflows that can understand context and generate domain-specific

outputs

● Integrate with LLM APIs (OpenAI, Anthropic, etc.) and optimize model performance for

production use

● Collaborate with engineering teams to seamlessly integrate AI capabilities into

applications

Qualifications Required

● 2+ years of hands-on experience building AI systems in production environments

● Strong expertise in Python and LLMs, prompt engineering, and API integrations

(OpenAI, Anthropic, etc.)

● Proficiency in core AI/ML libraries (transformers, LangChain, PyTorch/TensorFlow)

● Experience building RAG systems and working with vector databases

● Understanding of agentic AI systems and multi-agent architectures

● Knowledge of speech technologies (STT/TTS) and NLP frameworks

● Familiarity with cloud platforms (AWS/Azure) and MLOps practices

Nice to Have

● Experience with voice AI applications and real-time audio processing

● Healthcare domain knowledge or experience with compliance requirements

● Background in fine-tuning LLMs or multilingual NLP models

● Python FastAPI experience for building AI-powered APIs

● Experience with multi-agent frameworks like LangGraph, CrewAI, or AutoGen

Company Description

HEAPS is one of the fastest growing health tech start-ups in India today. With more than 5 million patient interactions till date, Heaps is revolutionising how insurers, doctors and patients experience health care. We are building an AI driven end-to-end care management platform which coordinates, tracks and monitors the health of the patient empowering them with the right information to take right decisions at the right time about their health.

Heaps is backed by marquee investors - titans in the healthcare industry who have invested more than $7.4 million in Series A funding. Heaps is on a path for global scaling, we’ve already expanded in 5 countries across the globe.

Role Description

Are you an AI engineer with a strong technical background and a passion for solving complex real-world problems? At HEAPS, our AI team drives innovation by developing and integrating advanced machine learning and Large Language Models (LLMs) into healthcare products. We are seeking skilled AI Engineers to lead end-to-end AI initiatives—designing, fine-tuning, and deploying models that extract actionable insights from healthcare data. Your work will directly support insurance and hospital clients worldwide in improving patient care and operational outcomes through scalable AI solutions.

Responsibilities

·   Design, develop, and integrate Large Language Models (LLMs) into our healthcare product suite

·   Build and optimize AI/ML pipelines for healthcare applications

·   Lead use case development and machine learning initiatives that extract actionable insights from complex healthcare data

·   Collaborate with cross-functional teams to implement AI-driven features that enhance patient care

·   Translate complex data and model outputs into clear, impactful recommendations for stakeholders

·   Fine-tune and deploy models for healthcare-specific use cases

·   Ensure AI solutions meet healthcare compliance and security standards

Research and apply state-of-the-art AI techniques to solve challenging healthcare problems

Skills:

·   2-3 years of hands-on experience in AI/ML engineering

·   Strong proficiency in Python, TensorFlow/PyTorch, and ML frameworks

·   Experience with LLMs (GPT, BERT, LLaMA, etc.) and NLP techniques

·   Proven ability to solve complex problems with AI and communicate results crisply.

·   Knowledge of cloud platforms (AWS/Azure/GCP) and MLOps

Job Summary:

We are looking for a motivated AI/ML Engineer to join our AI team. This is an exciting opportunity to work on projects at the cutting edge of generative AI—including large language models (LLMs), image generation, and multimodal AI. You’ll contribute to building, fine-tuning, and integrating GenAI solutions, primarily using Python and Google Cloud Platform (GCP).

Qualifications:

Education:

• Master’s degree in computer science, Engineering, Mathematics, or a related field.

Experience:

• Strong Python programming skills: familiarity with libraries such as Transformers, diffusers, or similar GenAI toolkits is a plus.
• Basic understanding of generative AI concepts (LLMs, agents, RAG, text-to-image, diffusion models, etc.).
• Interest or experience in using APIs and SDKs for LLMs (OpenAI, Gemini, Claude, or similar) and image generation (Imagen, Stable Diffusion, etc.).
• Familiarity with cloud platforms, especially Google Cloud Platform (GCP), or strong willingness to learn.
• Strong knowledge of Git and experience working with version control in a collaborative environment.
• Enthusiastic about GenAI, eager to learn modern engineering team practices, and able to work collaboratively.

Key Responsibilities:

• Assist in the development, evaluation, and fine-tuning of large language models (LLMs) and image generation models.
• Support the integration of GenAI models into our cloud-based workflows (GCP), including API usage and orchestration.
• Collaborate closely with engineering and data science team members on code reviews, feature development, and sprint activities.
• Use Git for version control, branching, merging, and code collaboration according to established workflows (pull requests, code reviews, etc.).
• Contribute data pipelines and maintain scripts in Python for GenAI applications.
• Conduct experiments, benchmark model performance, and assist in the analysis of results.
• Participate in maintaining project documentation and team knowledge sharing.

Working Conditions:

• Full-time.
• Limited travel may be required depending on team needs.
• Flexibility to operate in a global organization.

Role Overview :

We’re looking for an AI Engineer for one of our Tier-1 IT clients with hands-on experience in building, fine-tuning, and optimizing LLM-based applications. The ideal candidate will have solid expertise in RAG (Retrieval-Augmented Generation) architectures, parameter-efficient fine-tuning (e.g., LoRA), and model quantization techniques for deployment efficiency.

Key Responsibilities:

●   Design, implement, and optimize end-to-end LLM-based solutions for real-world applications.

●   Develop and maintain RAG pipelines integrating vector databases, embeddings, and retrieval techniques.

●   Fine-tune pre-trained language models using LoRA or similar methods.

●   Apply quantization and optimization strategies to deploy models efficiently on constrained environments.

●   Collaborate with data scientists, software engineers, and product teams to integrate AI features into production systems.

●   Monitor, evaluate, and continuously improve model performance and reliability.

Required Skills:

●   3–5 years of experience in AI/ML development or applied NLP.

●   Proficient in Python and frameworks such as PyTorch or TensorFlow.

●   Strong understanding of LLM architectures (e.g., GPT, Llama, Falcon, Mistral).

●   Experience with RAG frameworks (LangChain, LlamaIndex, or custom retrieval setups).

●   Hands-on knowledge of LoRA, PEFT, and model quantization (GPTQ, AWQ, or similar).

●   Familiarity with vector databases like FAISS, Pinecone, or ChromaDB.

●   Good understanding of prompt engineering and evaluation techniques.

●   Cloud deployment experience (AWS, Azure, or GCP) is an advantage.

Preferred Skills :

●   Exposure to open‑source models and fine-tuning pipelines.

●   Experience integrating AI models into web or enterprise products.

●   Knowledge of containerization and MLOps (Docker, Kubernetes, MLflow).

About Eximiets:

Eximietas Design is a technology services and solutions company headquartered in San Jose, CA India. Specialising in Cloud Computing, Cybersecurity, VLSI, Embedded Software, and Artificial Intelligence, Eximietas is dedicated to empowering businesses with cutting-edge innovations, ensuring their digital future is secure, efficient, and poised for growth. We foster a vibrant, collaborative work culture that thrives on innovation and inclusivity. Rooted in the spirit of Silicon Valley's tech dynamism, our global teams are united by a passion for excellence in technology and engineering.

Job Title: AI Engineer (Autogen, Azure AI and OpenAI)

Location: Bangalore

Work Mode - Work from Office ( 5 days )

Notice Period - Earliest joiner / Currently serving / Less than 30 days NP

Job Description:

Seeking an AI Automation Engineer skilled in GenAI, Autogen Framework, Azure AI ( All mandatory)

Services, and RAG systems to build AI-driven automation solutions.

Key Responsibilities:

 Develop AI solutions using GenAI, Autogen, and Azure AI.

Implement multi-agent AI systems and RAG (Retrieval-Augmented Generation) systems.

ptimize AI workflows with Azure Functions, Logic Apps, and APIs.

eploy and fine-tune LLMs (GPT, Claude, Gemini).

nsure security, compliance, and performance in AI solutions.

Required Skills:

+ years in AI/ML engineering or AI automation.

ands-on experience with GenAI, Autogen, Azure AI Services, and RAG systems.

trong knowledge of Python, LLMs, vector search, and embeddings.

amiliarity with the Azure cloud ecosystem.

#Bangalore

Job Description

Job Overview:

Looking for versatile AI/ML Developer to design, develop, and deploy machine learning models that fuel our AI initiatives. The ML developer will collaborate with data scientists, software engineers, and product managers to convert business needs into innovative solutions.

Key Responsibilities:

Design, build, and deploy ML models and algorithms

Analyze large datasets to extract insights

Collaborate across cross-functional teams to define requirements

Monitor model performance and fine tune as needed

Stay current with AI/ML advancements and best practices

Document methodologies and solutions for future reference

Stay up to date with the latest advancements in the fields of AI

Qualifications:

Graduation in Computer Science, Data Science, or related field

Proficiency in Python

Hands-on experience with ML frameworks like PyTorch

Strong foundation in data analysis and statistical methods

Familiarity with data engineering tools (e.g., SQL, Hadoop, Spark)

Excellent problem-solving, communication, and collaboration skills

About Apexon:

Apexon is a digital-first technology services firm specializing in accelerating business transformation and delivering human-centric digital experiences. We have been meeting customers wherever they are in the digital lifecycle and helping them outperform their competition through speed and innovation.Apexon brings together distinct core competencies – in AI, analytics, app development, cloud, commerce, CX, data, DevOps, IoT, mobile, quality engineering and UX, and our deep expertise in BFSI, healthcare, and life sciences – to help businesses capitalize on the unlimited opportunities digital offers. Our reputation is built on a comprehensive suite of engineering services, a dedication to solving clients’ toughest technology problems, and a commitment to continuous improvement. Backed by Goldman Sachs Asset Management and Everstone Capital, Apexon now has a global presence of 15 offices (and 10 delivery centers) across four continents.

We enable #HumanFirstDigital

Role: AI Architect – Agentic Systems

Overview

We are looking for an experienced AI Architect to lead the design and development of agentic AI systems leveraging AWS cloud services. The ideal candidate will possess a deep understanding of multi-agent orchestration , LLM-based reasoning , and cloud-native AI architectures , combined with strong technical leadership and stakeholder management capabilities.

This role requires a balance of hands-on architecture design , strategic solutioning , and mentorship , enabling large-scale, reliable, and secure AI systems for enterprise applications.

Key Responsibilities

• Lead architecture and design for agentic AI platforms using AWS services such as Bedrock, SageMaker, Lambda, Step Functions, EventBridge, OpenSearch, and DynamoDB .
• Define multi-agent orchestration strategies for end-to-end data workflows, validation, and automation.
• Evaluate and recommend design trade-offs between LLM-based reasoning , rule-based systems , and hybrid AI models for performance, scalability, and interpretability.
• Collaborate with business stakeholders , product managers , and engineering teams to align architecture with strategic goals and delivery outcomes.
• Provide technical leadership and mentorship to AI engineers, data scientists, and DevOps teams on agent-based design principles and implementation patterns.
• Establish architecture blueprints , best practices , and governance standards for secure, scalable, and production-grade AI solutions.

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or related field (PhD preferred).
• 8–12 years of experience in AI/ML solution development , including 3–5 years in cloud-native AI architecture .
• Hands-on expertise across AWS AI/ML services — Bedrock, SageMaker, Comprehend, Textract, Kendra, and Lex.
• Strong proficiency with agentic AI frameworks such as LangChain, LlamaIndex, Haystack, CrewAI, or AutoGen .
• Proven experience with workflow orchestration tools like AWS Step Functions, Apache Airflow, or Temporal .
• Demonstrated ability to translate business objectives into scalable AI system architectures .
• Excellent communication and stakeholder engagement skills, with the ability to articulate complex technical concepts to executive and delivery teams.

Preferred Skills

• Experience integrating LLMs with structured or unstructured data systems .
• Familiarity with multi-cloud architectures and AI deployment frameworks .
• Understanding of MLOps , model monitoring , and responsible AI governance .

Value Proposition

This role will drive the strategic adoption of agentic AI systems , enabling automation, intelligent decision-making, and data-driven innovation. The AI Architect will be instrumental in shaping enterprise-grade AI ecosystems that are scalable, secure, and future-ready .

Our Commitment to Diversity & Inclusion:

Did you know that Apexon has been Certified™ by Great Place To Work®, the global authority on workplace culture, in each of the three regions in which it operates: USA (for the fourth time in 2023), India (seven consecutive certifications as of 2023), and the UK.Apexon is committed to being an equal opportunity employer and promoting diversity in the workplace. We take affirmative action to ensure equal employment opportunity for all qualified individuals. Apexon strictly prohibits discrimination and harassment of any kind and provides equal employment opportunities to employees and applicants without regard to gender, race, color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. You can read about our Job Applicant Privacy policy here Job Applicant Privacy Policy (apexon.com)

Our Commitment to Environment:

Actively contribute to Apexon's commitment to environmental responsibility by following sustainable practices and supporting ESG initiatives.

Our Perks and Benefits:

Our benefits and rewards program has been thoughtfully designed to recognize your skills and contributions, elevate your learning/upskilling experience and provide care and support for you and your loved ones. As an Apexon Associate, you get continuous skill-based development, opportunities for career advancement, and access to comprehensive health and well-being benefits and assistance.

We also offer:

o Group Health Insurance covering family of 4

o Term Insurance and Accident Insurance

o Paid Holidays & Earned Leaves

o Paid Parental LeaveoLearning & Career Development

o Employee Wellness

Note -

Candidate should be an Immediate joiner or within 30 days.

This is a Hybrid position in Bangalore (Only Local candidates will be considered for this role or some who can relocate in a day or two)

Details required: (Share your resume to with below details for faster response)

Total Years of experience -

Notice period -

CTC -

Expected CTC -

Current Location -

Job Description:

Responsibilities:

• GenAI, AI/ML, 3+ years experience.
• AI/ML – Agentic AI, GEN AI,Python, PyTorch, Java, LangChain, LLMs, Prompt Engineering, Retrieval Augmented Generation, Vector Databases
• Build agentic AI workflows, Generative AI APIs (Open AI, Anthropic), Model Context Protocol.
• Candidate should be well versed with LLMs, various AI Models (OpenAI, Anthropic) integration, Agentic AI technologies. Proficiency in programming languages such as Python, and Java.

What we offer:

• Opportunity to work on bleeding-edge projects
• Work with a highly motivated and dedicated team
• Competitive salary
• Flexible schedule
• Benefits package - medical insurance
• Corporate social events
• Professional development opportunities

Company Description

Cyble (YC W21) is a Series B-funded global cyber intelligence start-up supported by notable VC firms and Y Combinator. We provide customers with AI-powered actionable threat intelligence to manage cyber risks effectively. Our team specializes in delivering cutting-edge solutions to help organizations and governments stay ahead of cyber threats.

We’re building the next generation of memory-augmented AI systems—agents that learn , recall , and reason like humans. Our mission is to develop long-context AI that’s persistent, intelligent, and adaptive. If you’re passionate about solving fundamental problems in memory for AI , we want to hear from you. At Cyble, you won’t just work with toy datasets or academic-scale models—you’ll be applying your ideas to petabyte-scale real-world data , spanning global threat intelligence, telemetry, signals, and behavioral metadata.

This is your chance to build AI memory systems at planetary scale, work on cutting-edge LLM and neural memory infrastructure , alongside a global team of top researchers and engineers, with direct CEO-level sponsorship . Be at the forefront of semantic memory, vector embeddings, and lifelong AI learning. As this function reports to the CEO and interfaces with our U.S.-based executive team, periodic travel to Cupertino is expected. For high-impact contributors, relocation support may be offered to align with our long-term strategic planning efforts.

Key Responsibilities

• Architect and build semantic and neural memory systems for large language models (LLMs) and autonomous agents.
• Design memory-aware retrieval systems using vector databases (FAISS, Milvus, LanceDB) and embedding models (OpenAI, Hugging Face, Cohere) .
• Research and implement techniques for episodic , declarative , and procedural memory inspired by cognitive and neuroscience principles.
• Integrate long-term memory modules with LLM stacks (GPT, LLaMA, Claude, Mistral, etc.).
• Contribute to both open-source frameworks and proprietary IP in RAG pipelines , agent memory , and knowledge grounding .
• Collaborate with top-tier researchers, security analysts, and the CEO himself to shape Cyble’s strategic AI future.
• Collaborate with product teams to translate research into real-world AI products used globally.

Qualifications

• Bachelor’s/Master’s/PhD in CS, AI, Cognitive Science, Applied Math, or related disciplines (IITs, IISc, IIITs, BITS, top NITs preferred but not mandatory).
• Strong experience with PyTorch , TensorFlow , or JAX for building deep learning systems.
• Hands-on with semantic search , vector similarity , and embedding space reasoning .
• Solid grasp of LLMs and memory-augmented architectures (Transformers + Memory, RAG, kNN-augmented models, etc.).
• Research mindset—demonstrated by papers, GitHub, patents, or strong experimentation projects.
• Worked on LangChain, LlamaIndex, AutoGPT, or other memory-capable agent platforms.
• Background in neuroscience-inspired AI , knowledge graphs , or cognitive modeling .
• Strong publications or open-source visibility in AI memory systems.

Send your resume, GitHub or research portfolio, and a brief note on your work in semantic or neural memory to:

Location : Remote (India / Asia)

Function: CEO – Innovations Team