53 Machine Learning jobs in Tirupati

We are seeking a Machine Learning Researcher to join our team. You will be working on cutting-edge research projects, building experimental prototypes, and documenting your findings through technical publications. This is a fully remote position, initially a 3-month research engagement with the potential for extension or full-time offer based on performance and research contributions. This is a paid position at ₹15,000-20,000/month .

This is an exciting opportunity to work in a dynamic research environment and contribute to advancing the field of AI development. This is a completely remote role where you will work on your own schedule. No micro-management, promise.

You will be learning cutting-edge techniques and contributing to original research, so don't worry if you do not meet all qualifications. As long as you can learn, adapt, and think critically about research problems, this will be a valuable experience for you.

Responsibilities

• Research and implement advanced techniques like LoRA, Fine-Tuning, Transfer Learning, RLHF, GRPO, and emerging training methodologies in experimental settings.
• Read and analyze recent research papers, reproduce key findings, and contribute to our understanding of state-of-the-art AI concepts.
• Design and conduct experiments for client-facing research projects under guidance of senior researchers.
• Document your research journey by writing technical articles and research summaries that explain complex AI topics and your experimental findings.
• Contribute to model training pipelines and evaluate novel approaches for improving model performance.

Qualifications

• Strong foundation in machine learning research or similar experience, with focus on NLP and deep learning.
• Excellent programming skills with proven experience implementing Python-based research solutions.
• Proficiency with research-essential libraries (NumPy, pandas, scikit-learn) and experimental frameworks.
• Experience with ML research frameworks (PyTorch, TensorFlow, Keras), text embeddings, and transformer architectures.
• No degree required - if you have research aptitude and technical skills, we'd love to work with you.
• Excellent written and verbal communication skills for research documentation.
• Strong analytical and research methodology skills to design experiments and validate findings.
• Ability to read, understand, and implement techniques from AI research papers.
• Understanding math is a huge plus; topics like topology and linear algebra are very helpful on the job

Bonus Experience

• LLMs and research tooling: Advanced agents, GPT variants, Langchain, HuggingFace research tools, etc.
• Modern training techniques: Reinforcement Learning from Human Feedback (RLHF), Constitutional AI, preference learning.
• Deep learning research, reinforcement learning, generative models, and multi-modal AI systems.

Interview Process (<3 days)

• 1 x Phone Screen | 10 mins
• 1 x Technical Research Interview | 1 hour

Note: This is a 3-month research position, with the potential to transition into a full-time research role.

We don't hire based on DSA. You'll be a good fit if you're passionate about AI research and capable of building experimental applications and conducting meaningful research. We prefer people who are strong in AI fundamentals, research methodology, and open to exploring any framework/library as required for their research.

Degrees are redundant. First-time researchers and recent graduates are encouraged to apply. Will hire based on research potential and curiosity. Work from wherever, whenever. Immediate joiners only.

Job Title: AI/ML Engineer

Location: UAE (Remote)

Experience Range: 5 to 8 Years

Responsibilities:

• Develop prompt engineering strategies
• Specify ML methodologies for demo scenarios
• Implement AI/ML components where applicable
• Optimize model performance for demo environments

Ideal Qualifications:

• 5+ years ML engineering experience
• Expertise in prompt engineering and LLMs
• Experience with ML frameworks

Interested? To apply, please send your resume to Ankita Rathod

Email address:

Job Details:

Position: ML Engineer

Experience: 7-10 years

Work Mode: Remote

Notice Period: Immediate Joiner – 15 days

Job Summary:

We are looking for highly motivated and experienced Machine Learning Engineers to join our

advanced analytics and AI team. The ideal candidates will have strong proficiency in building,

training, and deploying machine learning models at scale using modern ML tools and

frameworks. Experience with LLMs (Large Language Models) such as OpenAI and Hugging

Face Transformers is highly desirable

Must Have: DevOps tools, Python and Excellent Communication

Key Responsibilities:

• Design, develop, and deploy machine learning models for real-world applications.

• Implement and optimize end-to-end ML pipelines using PySpark and MLflow.

• Work with structured and unstructured data using Pandas, NumPy, and other data processing

libraries.

• Train and fine-tune models using scikit-learn, TensorFlow, or PyTorch.

• Integrate and experiment with Large Language Models (LLMs) such as OpenAI GPT,

Hugging Face Transformers, etc.

• Collaborate with cross-functional teams including data engineers, product managers, and

software developers.

• Monitor model performance and continuously improve model accuracy and reliability.

• Maintain proper versioning and reproducibility of ML experiments using MLflow

Required Skills:

• Strong programming experience in Python.

• Solid understanding of machine learning algorithms, model development, and evaluation

techniques.

• Experience with PySpark for large-scale data processing.

• Proficient with MLflow for tracking experiments and model lifecycle management.

• Hands-on experience with Pandas, NumPy, and Scikit-learn.

• Familiarity or hands-on experience with LLMs (e.g., OpenAI, Hugging Face Transformers).

• Understanding of MLOps principles and deployment best practices

Preferred Qualifications:

• Bachelor’s or master's degree in computer science, AI/ML, Data Science, or a related field.

• Experience in cloud ML platforms (AWS SageMaker, Azure ML, or GCP Vertex AI) is a plus

• Strong analytical and problem-solving abilities.

• Excellent communication and teamwork skills.

Job Title: AI/ML Engineer

Location: UAE (Remote)

Experience Range: 5 to 8 Years

Responsibilities:

• Develop prompt engineering strategies
• Specify ML methodologies for demo scenarios
• Implement AI/ML components where applicable
• Optimize model performance for demo environments

Ideal Qualifications:

• 5+ years ML engineering experience
• Expertise in prompt engineering and LLMs
• Experience with ML frameworks

Interested? To apply, please send your resume to Ankita Rathod

Email address:

We are seeking a Machine Learning Researcher to join our team. You will be working on cutting-edge research projects, building experimental prototypes, and documenting your findings through technical publications. This is a fully remote position, initially a 3-month research engagement with the potential for extension or full-time offer based on performance and research contributions. This is a paid position at ₹15,000-20,000/month .

This is an exciting opportunity to work in a dynamic research environment and contribute to advancing the field of AI development. This is a completely remote role where you will work on your own schedule. No micro-management, promise.

You will be learning cutting-edge techniques and contributing to original research, so don't worry if you do not meet all qualifications. As long as you can learn, adapt, and think critically about research problems, this will be a valuable experience for you.

Responsibilities

• Research and implement advanced techniques like LoRA, Fine-Tuning, Transfer Learning, RLHF, GRPO, and emerging training methodologies in experimental settings.
• Read and analyze recent research papers, reproduce key findings, and contribute to our understanding of state-of-the-art AI concepts.
• Design and conduct experiments for client-facing research projects under guidance of senior researchers.
• Document your research journey by writing technical articles and research summaries that explain complex AI topics and your experimental findings.
• Contribute to model training pipelines and evaluate novel approaches for improving model performance.

Qualifications

• Strong foundation in machine learning research or similar experience, with focus on NLP and deep learning.
• Excellent programming skills with proven experience implementing Python-based research solutions.
• Proficiency with research-essential libraries (NumPy, pandas, scikit-learn) and experimental frameworks.
• Experience with ML research frameworks (PyTorch, TensorFlow, Keras), text embeddings, and transformer architectures.
• No degree required - if you have research aptitude and technical skills, we'd love to work with you.
• Excellent written and verbal communication skills for research documentation.
• Strong analytical and research methodology skills to design experiments and validate findings.
• Ability to read, understand, and implement techniques from AI research papers.
• Understanding math is a huge plus; topics like topology and linear algebra are very helpful on the job

Bonus Experience

• LLMs and research tooling: Advanced agents, GPT variants, Langchain, HuggingFace research tools, etc.
• Modern training techniques: Reinforcement Learning from Human Feedback (RLHF), Constitutional AI, preference learning.
• Deep learning research, reinforcement learning, generative models, and multi-modal AI systems.

Interview Process (<3 days)

• 1 x Phone Screen | 10 mins
• 1 x Technical Research Interview | 1 hour

Note: This is a 3-month research position, with the potential to transition into a full-time research role.

We don't hire based on DSA. You'll be a good fit if you're passionate about AI research and capable of building experimental applications and conducting meaningful research. We prefer people who are strong in AI fundamentals, research methodology, and open to exploring any framework/library as required for their research.

Degrees are redundant. First-time researchers and recent graduates are encouraged to apply. Will hire based on research potential and curiosity. Work from wherever, whenever. Immediate joiners only.

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.