678 Machine Learning jobs in Bangalore

Job Description

We are looking for talented Python Developers with 3 to 6 years hands-on experience in Natural Language Processing (NLP) and Generative AI Models to join our growing team working on innovative projects in enterprise scale AI applications and solutions.

Responsibilities:

• Design, evaluation, and best fit analysis of NLP / ML Models
• Design, fine-tuning, and deployment of open-source and API-based LLMs to solve real-world use cases
• Engage with clients for data preparation process, the subtleties of the fine-tuning procedure, and the challenges it presents.
• Lead efforts to address challenging data science and machine learning problems, spanning predictive modeling to natural language processing, with a significant impact on organizational success.
• Building data ingestion pipelines, handling various data formats such as JSON and YAML.
• Technical Qualifications:
• Strong in data collection, curation, and dataset preparation for ML Models (Classifiers / Categorization).
• Demonstrable expertise in area of data science or analytics (e.g., machine learning, deep learning, NLP, predictive modeling and forecasting, statistics).
• Strong experience in machine learning (unsupervised and supervised techniques) and experience in machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, logistic regression, MLPs, RNNs, Attention, Generative Models etc would be a plus.
• SQL expertise for data extraction, transformation, and analysis.
• Experience in building and maintaining scalable APIs using FastAPI / Flask frameworks.
• Proficiency in Python, with experience in libraries such as PyTorch or TensorFlow.
• Solid understanding of data structures, embedding techniques, and vector search systems.
• Experience in SQL / NoSQL databases including PostgreSQL, MySQL and MongoDB.
• Proficiency in Graph Databases Neo4j.

Generic Qualifications:

• Comfortable working with cross-functional teams product managers, data scientists, and other developers to deliver quality software solutions.
• Ensure software quality through code reviews, unit testing, and best practices for DevOps and CI/CD pipelines.
• Ability to manage time wisely across projects and competing priorities, meet agreed upon deadlines, and be accountable for work.
• Able to write maintainable and functionally tested modules.
• You should not hesitate in learning and building innovative solutions in newer technology stacks.

Qualifications:

B.Tech/B.E. in Computers, MCA, M.Sc Computer Science

Others:

• Candidate should be willing to relocate or commute to North Bangalore (Yelahanka) for work.
• Candidates who have 3 to 6 years of relevant experience can only apply.

Company Description

HCL Software is a division of HCL Technologies (HCL) that operates its primary software

business. It develops, markets, sells, and supports over 20 product families in the areas of

DevOps, Security, Automation, Digital Solutions, Data Management, Marketing and Commerce,

and Mainframes. Its mission is to drive ultimate customer success with their IT investments

through relentless innovation of its products.

Job Title: Senior Machine learning engineer /Lead Machine Learning Engineer

Location: India (Bangalore)

Experience required-

• 4 to 7 years
• 10 to 13 years

Responsibilities:

About the Role

We are seeking a highly skilled and experienced Lead Machine Learning Engineer to join our dynamic team supporting a fast-growing e-commerce platform. In this role, you will lead the development and deployment of intelligent systems that enhance user experience, optimize operations, and drive business growth. You will work closely with cross-functional teams to build scalable ML solutions, leveraging modern agentic frameworks and cloud-native technologies.

We are seeking an experienced and innovative Lead Machine Learning Engineer to join our team supporting a fast-growing e-commerce platform. In this role, you will lead the design, development, and deployment of machine learning solutions that drive business value. You will collaborate with fellow engineers, cloud architects, and product teams to deliver scalable ML systems in production, mentor team members, and help define best practices for the organization.

Key Responsibilities

• Lead the end-to-end development and deployment of AI applications, from data exploration and feature engineering to model training, evaluation, and productionization.
• Architect and implement scalable ML pipelines and infrastructure in cloud and on-prem environments.
• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
• Break down complex implementations into executable tasks for junior engineers, enabling timely implementation of new platform features.
• Guide and mentor a team of ML engineers, fostering a culture of technical excellence and continuous learning.
• Ensure best practices in code quality, testing, version control, and model monitoring.
• Evaluate and recommend new tools, frameworks, and technologies to improve ML workflows.
• Communicate technical concepts and project status to stakeholders at all levels.
• Stay current with the latest research and advancements in machine learning and AI.

Required Qualifications

• experience in AI/ML model development and deployment using Python.
• Proven experience designing, deploying, and maintaining several AI applications in a production environment.
• Proven experience delegating & overseeing task work supporting complex AI implementations.
• Proficiency with cloud platforms (AWS, Azure, GCP) and ML services (e.g., SageMaker, Vertex AI, Azure ML).
• Experience deploying production Agentic and/or Gen AI applications on a cloud platform.
• Experience with data engineering, ETL pipelines, and big data tools (e.g., Spark, Hadoop).
• Familiarity with MLOps practices, CI/CD, and model monitoring.
• Excellent leadership, communication, and collaboration skills.

Preferred Qualifications

• Experience with Azure cloud services (e.g., Azure Blob Storage, Cosmos DB)
• Experience with Databricks, Spark, Spark Streaming
• Experience working with ecommerce data
• Experience with traditional Python ML frameworks (e.g. Tensorflow, XGBoost, Scikit, etc.)
• Experience with Orchestration frameworks (e.g. Dagster)
• Experience writing & maintaining cloud deployment pipelines

Why Join 7-Eleven Global Solution Center?

When you join us, you'll embrace ownership as teams within specific product areas take responsibility for end-to-end solution delivery, supporting local teams and integrating new digital assets. Challenge yourself by contributing to products deployed across our extensive network of convenience stores, processing over a billion transactions annually. Build solutions for scale, addressing the diverse needs of our 84,000+ stores in 19 countries. Experience growth through cross-functional learning, encouraged and applauded at 7-Eleven GSC. With our size, stability, and resources, you can navigate a rewarding career. Embody leadership and service as 7-Eleven GSC remains dedicated to meeting the needs of customers and communities.

Why We Exist, Our Purpose and Our Transformation?

7-Eleven is dedicated to being a customer-centric, digitally empowered organization that seamlessly integrates our physical stores with digital offerings. Our goal is to redefine convenience by consistently providing top-notch customer experiences and solutions in a rapidly evolving consumer landscape. Anticipating customer preferences, we create and implement platforms that empower customers to shop, pay, and access products and services according to their preferences. To achieve success, we are driving a cultural shift anchored in leadership principles, supported by the realignment of organizational resources and processes.

At 7-Eleven we are guided by our Leadership Principles . Each principle has a defined set of behaviours which help guide the 7-Eleven GSC team to Serve Customers and Support Stores.

1. Be Customer Obsessed
2. Be Courageous with Your Point of View
3. Challenge the Status Quo
4. Act Like an Entrepreneur
5. Have an “It Can Be Done” Attitude
6. Do the Right Thing
7. Be Accountable

About This Opportunity

We are seeking a highly skilled senior AI/ML engineer to design , implement and deploy AI/ML solutions that drive innovation and efficiency. The ideal candidate will have extensive experience in Langchain, NLP, RAG based systems , Prompt Engineering , Agentic Systems and cloud platforms(Azure,AWS) and be adept in building AI driven applications.

Responsibilities:

• Design and implement AI driven solutions using advanced frameworks and technologies, ensuring scalability and efficiency.
• Develop and optimize Langchain(agents, chains, memories, parsers, document loaders),Gen AI and NLP models for specific use cases.
• Quickly experiment different machine learning models for specific use case.
• Strong problem-solving capabilities and ability to quickly propose feasible solutions and effectively communicate strategy and risk mitigation approaches to leadership.

Educational & Required Qualifications:

• Overall 4-6 years of experience in software development , particularly AI/ML-based projects
• Must have experience in Azure cloud and databricks setup.
• Proficiency in Python and machine learning frameworks like Tensorflow, Pytorch, scikit-learn.
• Strong understanding of machine learning algorithms, including supervised and unsupervised learning, reinforcement learning, and deep learning.
• Strong expertise in Generative AI, NLP, and conversational AI technologies.
• Experience in building and deploying AI-powered applications at scale.
• Strong understanding of ML pipelines, feature engineering, and MLOps
• Experience in LLM + RAG and building agentic framework.
• Excellent written and verbal communications skills.
• Experience leading and mentoring team members to help grow to their full potential.
• Ability to understand business requirements and translate into technical requirements.
• Educational Background: Bachelor’s or master’s degree in computer science, Artificial Intelligence, Machine Learning, or a related field.
• Familiarity with code versioning tools - Git (Gitlab).
• Exposure to retail industry, experience with e-commerce applications.

7-Eleven Global Solution Center is an Equal Opportunity Employer committed to diversity in the workplace. Our strategy focuses on three core pillars – workplace culture, diverse talent and how we show up in the communities we serve. As the recognized leader in convenience, the 7-Eleven family of brands embraces diversity, equity and inclusion (DE+I). It’s not only the right thing to do for customers, Franchisees and employees—it’s a business imperative.

Job Summary: We are seeking a talented and motivated Machine Learning Engineer to join our team. The ideal candidate will have a strong background in machine learning algorithms, data analysis, and software development. You will be responsible for designing, developing, and deploying machine learning models and systems that drive our products and services.

Key Responsibilities:

• Develop and implement machine learning algorithms and models.
• Design and conduct experiments to evaluate the performance of machine learning models.
• Collaborate with cross-functional teams to integrate machine learning solutions into products.
• Analyze large datasets to extract meaningful insights and patterns.
• Optimize and tune machine learning models for performance and scalability.
• Monitor and maintain deployed models, ensuring their performance in a production environment.
• Stay up-to-date with the latest trends and advancements in machine learning and artificial intelligence.
• Write clean, maintainable, and efficient code.
• Document processes, experiments, and results comprehensively.

Requirements:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field.
• Proven experience as a Machine Learning Engineer or similar role.
• Strong understanding of machine learning algorithms and techniques (e.g., supervised and unsupervised learning, reinforcement learning, deep learning).
• Proficiency in programming languages such as Python, R, or Java.
• Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
• Familiarity with data preprocessing and feature engineering techniques.
• Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) is a plus.
• Strong problem-solving skills and the ability to work independently and as part of a team.
• Excellent communication and collaboration skills.

Preferred Qualifications:

• Experience with natural language processing (NLP) and computer vision.
• Knowledge of big data technologies (e.g., Hadoop, Spark).
• Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).
• Experience with version control systems (e.g., Git).
• Understanding of DevOps practices and CI/CD pipelines.

• Develop, train, test, and deploy Machine learning models across various fields including computer vision, LLMs, and with tabular and time series data.
• Strong experience in Python, FastAPI, Flask
• Strong experience in SQL
• Strong experience Design Pattern/algorithms and data structures
• Familiarity with OOPS, Design Pattern/algorithms and data structures
• Familiarity with continuous integration, deployment, and automated build processes for scalable application delivery using Docker/Kubernetes
• Practical knowledge of one or more major cloud platforms (e.g. Azure, AWS, or GCP ).
• Excellent written and verbal communication skills in English.
• Experiment with novel deep learning-based technologies such as self-supervised learning and generative AI.
• Work directly with customer data and set up data pipelines to collect, curate, transform, and version data.
• Participate in the collection, analysis, interpretation, and output of large amounts of data using advanced AI techniques like deep learning, NLP, and computer vision good foundational experience in PyTorch / Tensorflow .
• Work within the global corporate Artificial Intelligence division, which addresses real business challenges and opportunities across multiple countries.
• Collaborate across different business and corporate functions in an international team composed of Project Managers, Data Scientists, Data and Software Engineers within the Artificial Intelligence team and others in the Global AI team

We are hiring - Machine Learning Researcher - Remote

About the Client:

The client is an AI-driven product intelligence platform designed to predict how users will react to new product features or designs before any development begins. Leveraging advanced AI techniques—combining cognitive modeling and transformer-based systems—the platform simulates realistic user behavior at scale, enabling teams to forecast adoption, usability, and engagement. This helps product, design, and engineering teams make faster, data-backed decisions and reduce wasted effort by validating ideas early in the development cycle.

Key Responsibilities:

1. Architecting and enhancing our simulation models to achieve unprecedented accuracy and performance

2. Spearheading research initiatives that advance the science of behavioral prediction

3. Designing and executing sophisticated experiments to validate new approaches

4. Translating research insights into practical, deployable solutions

5. Collaborating across teams to integrate advanced ML capabilities into our product

Skills & Experience Required:

- 2–5 years of experience in Machine Learning Research, with a strong foundation in algorithms, model development, and experimentation

- Graduates from Tier 1 IT institutions (such as IITs, IISc, NITs, or equivalent) are preferred.

- Excellent hands-on Python coding skills, with the ability to write efficient, modular, and production-ready code for ML workflows

Interested candidates can apply by sharing their resume at or apply via LinkedIn job post.