1748 Machine Learning Engineer jobs in New Delhi

Our client is a cutting-edge technology firm looking for a highly skilled Machine Learning Engineer to join their innovative AI and Emerging Technologies division. This is a fully remote position where you will be at the forefront of developing and deploying advanced machine learning models that solve complex business problems and drive technological advancements. You will work on diverse projects, from natural language processing and computer vision to predictive analytics and recommender systems. The ideal candidate possesses a strong theoretical foundation in ML, practical experience with popular ML frameworks, and excellent programming skills.

Responsibilities:

• Design, develop, train, and deploy machine learning models using state-of-the-art algorithms.
• Implement and productionize ML pipelines for data processing, feature engineering, model training, and evaluation.
• Collaborate with data scientists, software engineers, and product managers to understand business requirements and translate them into ML solutions.
• Conduct research on new ML techniques and technologies to identify opportunities for innovation.
• Optimize model performance for accuracy, efficiency, and scalability.
• Develop and maintain robust ML infrastructure and tooling.
• Analyze large datasets to extract meaningful insights and inform model development.
• Ensure the ethical and responsible development of AI systems.
• Document ML models, processes, and findings thoroughly.
• Stay updated with the latest advancements in AI and ML research.
• Participate in code reviews and contribute to best practices in ML engineering.

Qualifications:

• Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
• 3+ years of hands-on experience in machine learning engineering, with a proven track record of delivering production-ready ML solutions.
• Proficiency in programming languages such as Python, R, or Scala.
• Strong experience with ML frameworks and libraries like TensorFlow, PyTorch, Scikit-learn, Keras, XGBoost.
• Solid understanding of deep learning, NLP, computer vision, and other ML subfields.
• Experience with cloud platforms (AWS, Azure, GCP) and their ML services.
• Familiarity with big data technologies (e.g., Spark, Hadoop).
• Excellent problem-solving, analytical, and algorithmic thinking skills.
• Strong communication and collaboration skills, with the ability to explain complex technical concepts.
• Experience with MLOps principles and tools is a significant plus.

This is a groundbreaking opportunity to work in a dynamic, fully remote environment at the cutting edge of AI development. If you are passionate about building intelligent systems and driving innovation, this role is for you. The position is based in Gurugram, Haryana, IN , and is fully remote.

** Immediate Joiners Only - Please apply only if you're available to start right away. If you're currently serving a notice period or cannot join immediately, we kindly ask that you refrain from applying. **

*** We're only interested in candidates who have experience working with AI Agent frameworks —such as LangChain, Langraph , AutoGen, CrewAI, Auto-GPT, or custom-built systems. If you've explored multi-agent coordination, autonomous task execution, memory management, or tool-based reasoning using LLMs,***

Position: Machine Learning Engineer (Entry-Level, LLM Focus)
Location: Fully Remote (India-Based)
Start Date: Immediate
Format: Full time

Compensation: Competitive Salary + Strong Equity Offering + Benefits

Who We Are
Gabeo.ai is a cutting-edge health tech startup based in the Bay Area (USA), collaborating with industry leaders like Astrana Health, Athena Health and Rebound Orthopedics. Our goal? Transform the healthcare revenue cycle by using advanced AI to tackle denied medical claims—one of the sector’s biggest financial headaches.

At Gabeo.ai, we pride ourselves on:

Innovation: We push boundaries and welcome out-of-the-box thinking.
Collaboration: We’re a tight-knit team that values open communication.
Impact: Your work will directly influence our AI-driven products and customer outcomes.

Role Overview

At Gabeo.ai, we are pioneering AI Agent Frameworks designed to automate and optimize complex tasks within healthcare revenue cycle management. These intelligent agents leverage Large Language Models (LLMs) and specialized domain knowledge to autonomously analyze claim data, predict denials, and execute strategic interventions. By continuously learning from real-world feedback and historical patterns, our agent-based systems evolve over time, adapting to new payer policies and medical coding updates. The result is a robust, scalable framework that reduces manual workload, accelerates claim resolution, and drives financial efficiency for healthcare providers. We’re seeking an entry-level Machine Learning Engineer with a keen interest in Large Language Models (LLMs) and NLP . You’ll join our global team to develop and refine AI models for U.S. healthcare revenue cycle management . This position offers real-world exposure to cutting-edge AI in a domain that truly needs innovation.

Note: While we encourage applications from candidates who have graduated from top-tier Indian institutes (e.g., IIT, NIT, IIIT, BITS, etc.), we welcome all qualified applicants who demonstrate strong fundamentals and a passion for AI.

Key Responsibilities

Model Development: Collaborate on designing, developing, and optimizing ML models—AI Agents - particularly LLMs —for tasks like claim denial analysis and predictive analytics.
Data Handling: Assist in data collection, preprocessing, and feature engineering specific to healthcare RCM (Revenue Cycle Management) problems.
Research & Experimentation: Stay updated with the latest AI/ML trends and apply new techniques to improve model performance.
Integration & Deployment: Work closely with senior engineers to integrate models into production environments, ensuring scalability and reliability.
Performance Monitoring: Help monitor model accuracy and efficiency, proposing iterative improvements based on feedback and metrics.

Qualifications

Education: Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or related fields .
Graduates from IIT, NIT, IIIT, BITS, or equivalent institutions are strongly encouraged to apply.
Technical Skills:
Proficiency in Python and popular ML frameworks (e.g., TensorFlow, PyTorch).
Familiarity with NLP techniques , LLMs, and transformer-based architectures.
Problem-Solving: Eagerness to tackle complex datasets and real-world issues in the U.S. healthcare domain.
Team Player: Ability to communicate effectively with a distributed team, including data scientists, product managers, and domain experts.

What We Offer

Real-World Impact: Contribute to AI solutions that directly benefit healthcare providers and patients.
Mentorship & Growth: Learn from experienced data scientists and healthcare tech specialists.
Competitive Package: Enjoy a market-aligned salary plus strong equity for an ownership stake in Gabeo.ai’s success.
Remote Flexibility: Work from anywhere in India, collaborating with a global, diverse team.

Why Join Gabeo.ai?

High-Growth Environment: We’re rapidly expanding, offering plenty of opportunities for leadership and skill development.
Cutting-Edge AI: Work on advanced ML/AI projects that push the boundaries of LLM applications in healthcare.
Startup Culture: Enjoy a fast-paced setting where your ideas can quickly translate to tangible impact.

How to Apply

Ready to kick-start your AI career and transform healthcare with Gabeo.ai? Apply now with your CV, Github/portfolio links, and a brief description of your most exciting AI/ML project.
Please Note: We are currently accepting applications only from India-based candidates who are either recent graduates or early-career professionals. While a background in US healthcare is a plus, it is not mandatory —we value strong ML fundamentals and a willingness to learn.
Join us in redefining healthcare revenue cycle management through the power of AI and LLMs !

Looking for a culture to thrive & build a rewarding career for yourself, join the core team of young hustlers building the next generation of Machine Learning platform & services. You will develop training and deployment pipelines for machine learning, implement model compression algorithms, and productionize machine learning research solving challenging business problems.

Key Responsibilities:

- Design and develop generative AI models using techniques like RAG, transformers, and other relevant approaches.
- Fine-tune pre-trained LLMs for specific tasks and domains.
- Conduct research on new techniques for improving the performance and capabilities of generative AI models.
- Apply software engineering rigor and best practices to machine learning /Generative AI pipelines.
- Evaluate and analyse the performance of ML/generative AI models.
- Stay up to date on the latest advancements in generative AI research.
- Facilitate the development and deployment of proof-of-concept Generative AI systems.

Qualifications:

- Bachelor’s/Master’s degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
- 3-5 years of experience in generative AI or related fields.
- Experience in building data pipelines, deploying ML/GenAI models in production, and monitoring and maintaining their performance.
- Strong programming skills in Python.
- Familiarity with RAG and other techniques for building generative models.
- Extensive experience with Git, Docker and a good understanding of Linux for managing servers.
- Experience with cloud-based ecosystems, especially AWS ML/GenAI services.
- Exposure to ML/GenAI frameworks and tools.
- Excellent communication and collaboration skills.
- Ability to work independently and in a team-oriented environment.
- Methodical and meticulous towards work and planning.

Branch Overview

Branch delivers world-class financial services to the mobile generation. With offices in the United States, Nigeria, Kenya, and India, Branch is a for-profit socially conscious company that uses the power of data science to reduce the cost of delivering financial services in emerging markets. We believe that everyone everywhere deserves fair financial access. The rapid spread of smartphones presents an opportunity for the world’s emerging middle class to access banking options and achieve financial flexibility.

Branch’s mission-driven team is led by the founder and former CEO of Kiva.org. The company presents a rich opportunity for our team members to drive meaningful growth in rapidly evolving and changing markets. In 2019, Branch announced our Series C and garnered more than $100M in funding with investments from leading Silicon Valley firms, including Andreessen Horowitz, Trinity Capital, Foundation Capital, Visa, and the International Finance Corporation (IFC).

As a company, we are passionate about our customers, fearless in the face of barriers, and driven by data. As a product-driven org, we value bottom-up innovation and decentralized decision-making. We believe the best ideas can come from anyone in the company, and we create an environment where everyone feels empowered to propose solutions to the challenges we face.

We value diversity and are committed to providing an inclusive working environment where human beings of all backgrounds can thrive.

Job Overview

Branch launched in India in early 2019 and has seen rapid adoption and growth. We are expanding our product portfolio as well as our user base in all our markets including India. We are looking for talented Machine Learning Engineers to join us and be part of this journey. You will work closely with other Engineers, Product Managers, and underwriters to develop, improve, and deploy machine learning models and to solve other optimization problems. We make extensive use of machine learning in our credit product, where it is used (among other things) for underwriting and loan servicing decisions. We are also actively exploring other applications of Machine Learning in some of our newer products, with the ultimate goal of improving the user experience.

Machine Learning sits at the intersection of a number of different disciplines: Computer Science, Statistics, Operations Research, Data Science, and others. At Branch, we fundamentally believe that in order for Machine Learning to be impactful, it needs to be closely embedded into the rest of the product development and software engineering process, which is why we emphasize the importance of software engineering skills and experience for this role.

As a company, we are passionate about our customers, fearless in the face of barriers, and driven by data. As an engineering team, we value bottom-up innovation and decentralized decision-making. We believe the best ideas can come from anyone in the company, and we are working hard to create an environment where everyone feels empowered to propose solutions to the challenges we face. We are looking for individuals who thrive in a fast-moving, innovative, and customer-focused setting.

Responsibilities

- Credit Decisions: Core to our business is understanding and building signals from unstructured and structured data to identify good borrowers.
- Customer Service: Using machine learning and LLM/NLP, automate customer service interactions and provide context to our customer service team.
- Fraud Prevention: Identify patterns of fraudulent behavior and build models to detect and prevent these behaviors.
- Team work: Bring your experience to bear on the technical direction and abilities of the team, and work cross-functionally with policy and product teams as we improve processes and break new ground.

Qualifications

- 2+ years of hands-on experience building software in a production environment. Startup or early-stage team experience is preferred.
- Excellent software engineering and programming skills, especially Python and SQL.
- A diverse range of data skills, including experimentation, statistics, and machine learning, and have used these skills to inform business decisions.
- A deep understanding of using cloud computing infrastructure and data pipelines in production.
- Self motivation: You teach yourself new skills. You take the initiative to solve problems before they arise. You roll up your sleeves and get stuff done.
- Team motivation: You listen to others, speak your mind, and ask the right questions. You are a great collaborator and teacher.
- The drive to make a positive impact on customers' lives.

Benefits of Joining

- Mission-driven, fast-paced, and entrepreneurial environment
- Competitive salary and equity package
- A collaborative and flat company culture
- Fully-paid Group Medical Insurance and Personal Accidental Insurance
- Unlimited paid time off, including personal leave, bereavement leave, and sick leave
- Fully paid parental leave — 6 months maternity leave and 3 months paternity leave
- Monthly WFH stipend alongside a one-time home office set-up budget
- $500 Annual professional development budget
- Team meals and social events — Virtual and In-person

We’re looking for more than just qualifications -- if you’re unsure that you meet the criteria but identify with our vision of providing equal opportunity to everyone to access financial services, please do not hesitate to apply!

Branch International is an Equal Opportunity Employer. The company does not and will not discriminate in employment on any basis prohibited by applicable law.

We seek a Machine Learning Engineer colleague to join our world-class client, one of the

biggest and most advanced IT company.

• Remote work

• Employment/Contract Type: Contract

• Location: India

• Duration: 1 year (with potential to be extended)

• Hours per Week: 40 (Full-time)

Description:

We are seeking an experienced Machine Learning Engineer to join our growing team of

consultants. In this role, you will be responsible for designing, developing, and deploying machine

learning models and algorithms to solve complex business challenges with Databricks. You will work

closely with data scientists, data engineers, and business stakeholders to build scalable and efficient

machine learning solutions.

Key Responsibilities

● Design and implement machine learning models and algorithms with Databricks, including

predictive analytics, natural language processing, computer vision, and more.

● Lead the end-to-end development process, from data collection and preprocessing to model

deployment and monitoring.

● Collaborate with cross-functional teams to understand business requirements and translate

them into technical solutions.

● Optimize and fine-tune models for performance, accuracy, and scalability in a production

environment.

● Stay up-to-date with the latest advancements in machine learning and AI, and apply them to

improve existing systems.

● Contribute to the development of machine learning infrastructure, including data pipelines,

model serving frameworks, and monitoring tools.

● Collaborate with client stakeholders to drive solutions to solve business problems.

Qualifications

● Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, or a related

field; PhD is a plus.

● 3+ years of experience in machine learning engineering or related fields.

● 2+ years of experience with Databricks

● Proficiency in programming languages such as Python, R, or Java, with a strong understanding

of machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).

● Experience with cloud platforms and MLOps tools, such as MLflow, for model deployment and

monitoring.

● Strong problem-solving skills and ability to work in a fast-paced environment.

● Excellent communication and collaboration skills, with a track record of working effectively in

cross-functional teams

About Dexian

- Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.