15,243 Machine Learning Specialist jobs in India

• Coding: Write clean, efficient, and well-documented Python code adhering to OOP principles (encapsulation, inheritance, polymorphism, abstraction). Experience with Python and related libraries (e.g., TensorFlow, PyTorch, Scikit-Learn). They are responsible for the entire ML pipeline, from data ingestion and preprocessing to model training, evaluation, and deployment
• End-to-End ML Application Development: Design, development, and deployment of machine learning models and intelligent systems into production environments, ensuring they are robust, scalable, and performant.
• Software Design & Architecture: Apply strong software engineering principles to design and build clean, modular, testable, and maintainable ML pipelines, APIs, and services. Contribute significantly to the architectural decisions for our ML platform and applications.
• Data Engineering for ML: Design and implement data pipelines for feature engineering, data transformation, and data versioning to support ML model training and inference.
• MLOps & Productionization: Establish and implement best practices for MLOps, including CI/CD for ML, automated testing, model versioning, monitoring (performance, drift, bias), and alerting systems for production ML models.

Dear Candidate,

Greetings from HCL Tech!

We are hiring Data scientist – Machine Learning requirement

Below is the JD for your perusal:

JD:

• Develop and implement AI models capable of accurate predictions.

• Analyze input data to identify key factors influencing rapid movements, utilizing data-driven insights.

• Establish and maintain a continuous learning framework to update models based on planner feedback.

Skills:

• Expert in AI and machine learning model development

• Strong programming knowledge in Python

Rate your self on below Skils

AI models

Machine Learning

Python

If interested, kindly revert this mail with the details in the below format along with updated resume

Name

Contact Number

Email ID

Current Location

Preferred Location

Total Experience

Relevant Experience

Current Organisation

Current CTC

Expected CTC

Notice Period

Regards

Durga Karunakaran

HCL Technologies Ltd.

At MORPHIUS AI, we're building the future of business automation through artificial intelligence. We're a team of innovators, problem-solvers, and technology enthusiasts who are passionate about creating solutions that make a real difference.

When you join our team, you'll have the opportunity to work on cutting-edge AI projects, collaborate with talented professionals, and grow your skills in a supportive environment. We value creativity, continuous learning, and a commitment to excellence.

If you're excited about the potential of AI to transform businesses and want to be part of a dynamic, forward-thinking team, we'd love to hear from you.

We offer a comprehensive benefits package to support our team members' wellbeing and growth.

Competitive salary and equity options

Comprehensive health insurance

Flexible work arrangements

Professional development budget

Regular team events and activities

Modern office with great amenities

Opportunity to work on cutting-edge AI technologies

Collaborative and innovative work environment

Hyderabad, India (Remote Option)
•Full-time

Join our team to design and implement machine learning models that solve complex business problems.

• 3+ years of experience in machine learning
• Proficiency in Python and ML frameworks
• Experience with data preprocessing and feature engineering
• Strong mathematical and statistical background

We're always looking for talented individuals to join our team. Send us your resume, and we'll keep you in mind for future opportunities.

• Coding: Write clean, efficient, and well-documented Python code adhering to OOP principles (encapsulation, inheritance, polymorphism, abstraction). Experience with Python and related libraries (e.g., TensorFlow, PyTorch, Scikit-Learn). They are responsible for the entire ML pipeline, from data ingestion and preprocessing to model training, evaluation, and deployment
• End-to-End ML Application Development: Design, development, and deployment of machine learning models and intelligent systems into production environments, ensuring they are robust, scalable, and performant.
• Software Design & Architecture: Apply strong software engineering principles to design and build clean, modular, testable, and maintainable ML pipelines, APIs, and services. Contribute significantly to the architectural decisions for our ML platform and applications.
• Data Engineering for ML: Design and implement data pipelines for feature engineering, data transformation, and data versioning to support ML model training and inference.
• MLOps & Productionization: Establish and implement best practices for MLOps, including CI/CD for ML, automated testing, model versioning, monitoring (performance, drift, bias), and alerting systems for production ML models.

Machine Learning Engineer – Data Quality Lead

Hyderabad | WFO | 6 Days with Flexibility for Saturday

We are building at the frontier of AI, where the quality of data directly defines the power of Large Language Models (LLMs).

As a
Machine Learning Engineer – Data Quality Lead
, you will:

• Automate pipelines that ensure reliability, safety, and relevance of training datasets.
• Run proxy fine-tuning and reward modeling experiments to validate quality.
• Design evaluation frameworks (human + LLM-as-a-judge) to measure consistency and alignment.
• Collaborate with annotation teams to drive scalable, high-quality data workflows.

What we're looking for
:

• Strong understanding of LLM training & evaluation (SFT, RLHF, reward models).
• Proficiency in Python, PyTorch, Hugging Face, and evaluation tooling.
• Ability to translate model diagnostics into actionable insights.
• Self-starter with a consultative mindset, comfortable working at the intersection of research and client success.

Why join
:

• Work on mission-driven AI projects that push the boundaries of model reliability.
• Shape data pipelines that directly influence next-generation AI systems.
• Join a fast-scaling AI-first team with global impact.

If you're passionate about data-centric AI and want to work where
data quality meets model excellence
, let's talk.

Branch is a leader in delivering financial services to emerging markets using data science.

Our team of experts is passionate about providing equal access to financial services and believes that everyone deserves fair financial opportunities.

As a Machine Learning Engineer, you will work closely with other engineers, product managers, and underwriters to develop, improve, and deploy machine learning models and solve optimization problems.

At Branch, we fundamentally believe that machine learning must be embedded into the rest of the product development and software engineering process.

The intersection of computer science, statistics, operations research, and data science makes this role impactful. Our company values bottom-up innovation and decentralized decision-making.

We are looking for talented individuals who thrive in a fast-moving, innovative, and customer-focused setting.

Key Responsibilities:

• Build signals from unstructured and structured data to identify good borrowers.
• Automate customer service interactions using machine learning and LLM/NLP, providing context to our customer service team.
• Identify patterns of fraudulent behavior and build models to detect and prevent these behaviors.
• Work cross-functionally with policy and product teams to 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, used to inform business decisions.
• Self motivation: You teach yourself new skills. You take the initiative to solve problems before they arise.
• Team motivation: You listen to others, speak your mind, and ask the right questions.

Benefits:

• 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
• 6 months fully-paid maternity leave and 3 months fully-paid 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

About Our Machine Learning Expert

• 4-10 years of experience in AI, ML and GEN-AI.
• Expertise in NLP, LAMA Model and Python Programming.

Main Responsibilities:

• We are seeking a highly skilled professional to design, build and run machine learning systems at scale.
• The successful candidate will maintain infrastructure that supports models and algorithms.
• This role involves improving model accuracy by tweaking parameters or updating data.
• Additionally, the expert will develop and maintain platform for automating machine learning model creation, training, deployment and updates.

Requirements:

• A strong understanding of AI, ML and GEN-AI concepts is essential.
• Experience with large-scale data pipelines and DevOps knowledge is desirable.

Your Skills Will Be Put to Use in:

• Building scalable machine learning solutions.
• Maintaining and optimizing existing infrastructure.
• Developing innovative automated processes.

We Are Looking For:

• A highly motivated individual with a passion for machine learning.
• Someone who can think critically and solve complex problems.
• A team player who communicates effectively.