937 Machine Learning Specialist jobs in Bengaluru

Description

1. Expertise in Agile Methodology
2. Strong experience in Agile methodologies, with a focus on continuous testing and delivery cycles.
3. Python Programming
4. Proficiency in Python (preferred) and Java for AI and ML automation tasks.
5. Testing AI & ML Models
6. Experience testing Generative AI models, Large Language Models (LLMs) , and AI-driven systems (e.g., Chatbots, AI agents).
7. Automation Frameworks for AI
8. Hands-on experience designing automation frameworks using tools like pytest , mlflow , Selenium , or Serenity BDD for AI/ML applications.
9. Estimation techniques for Automation testing efforts (Design and Execution).
10. Cloud Automation Strategy
11. Ability to develop automation test strategies for AI/ML applications deployed on public and private cloud environments .
12. API and Web Services Testing
13. Strong experience in testing RESTful APIs and Web services using tools like Postman and Rest API .
14. CI/CD Automation
15. Experience in testing and test planning for CI/CD solutions, especially for AI-driven products.
16. Test Management Tools
17. Proficient in using Azure DevOps (ADO) or other test management tools to streamline test case management and reporting.
18. Various Testing Types
19. Experience in Functional , Regression , UI/Usability , and Integration testing for AI/ML applications.
20. Exposure to Cloud Platforms
21. Good exposure to cloud platforms such as AWS and Azure for deploying and testing AI systems.
22. AI Product Workflow Understanding
23. Familiarity with agentic workflows and AI system interactions in end-to-end product use cases.

Description

1. Expertise in Agile Methodology
2. Strong experience in Agile methodologies, with a focus on continuous testing and delivery cycles.
3. Python Programming
4. Proficiency in Python (preferred) and Java for AI and ML automation tasks.
5. Testing AI & ML Models
6. Experience testing Generative AI models, Large Language Models (LLMs) , and AI-driven systems (e.g., Chatbots, AI agents).
7. Automation Frameworks for AI
8. Hands-on experience designing automation frameworks using tools like pytest , mlflow , Selenium , or Serenity BDD for AI/ML applications.
9. Estimation techniques for Automation testing efforts (Design and Execution).
10. Cloud Automation Strategy
11. Ability to develop automation test strategies for AI/ML applications deployed on public and private cloud environments .
12. API and Web Services Testing
13. Strong experience in testing RESTful APIs and Web services using tools like Postman and Rest API .
14. CI/CD Automation
15. Experience in testing and test planning for CI/CD solutions, especially for AI-driven products.
16. Test Management Tools
17. Proficient in using Azure DevOps (ADO) or other test management tools to streamline test case management and reporting.
18. Various Testing Types
19. Experience in Functional , Regression , UI/Usability , and Integration testing for AI/ML applications.
20. Exposure to Cloud Platforms
21. Good exposure to cloud platforms such as AWS and Azure for deploying and testing AI systems.
22. AI Product Workflow Understanding
23. Familiarity with agentic workflows and AI system interactions in end-to-end product use cases.

• Design, develop, and implement machine learning models.
• Perform data preprocessing, feature engineering, and model evaluation.
• Build and deploy scalable ML solutions using cloud platforms.
• Collaborate with cross-functional teams to define project requirements.
• Conduct exploratory data analysis and generate actionable insights.
• Stay up-to-date with the latest advancements in AI and ML.
• Optimize model performance and ensure reliability.
• Communicate findings and recommendations to stakeholders.

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
• 3+ years of experience in data science and machine learning.
• Strong programming skills in Python or R.
• Proficiency with ML libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Experience with cloud computing platforms (AWS, GCP, Azure).
• Solid understanding of statistical modeling and data mining techniques.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration abilities, especially in a remote setting.

Some careers shine brighter than others.

If you’re looking for a career that will help you stand out, join HSBC and fulfil your potential. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further.

HSBC is one of the largest banking and financial services organisations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions.

We are currently seeking an experienced professional to join our team in the role of Consultant Specialist

In this role, you will:

To be successful in this role, you should meet the following requirements:

Location : Pune and Bangalore

VERINT is a global leader in Actionable Intelligence solutions. The company provides software and services that enable organizations to capture, analyze, and act on large volumes of complex data in real-time. VERINT's solutions are designed to help businesses enhance customer engagement, improve operational efficiency, and mitigate risk. VERINT's portfolio includes a wide range of solutions, such as workforce optimization, customer engagement, voice of the customer, fraud and compliance, and security intelligence. These solutions leverage advanced analytics, artificial intelligence, machine learning, and automation to unlock actionable insights from data, enabling organizations to make informed decisions and drive positive business outcomes. With a focus on empowering organizations across various industries, including customer service, contact centers, financial services, government, and security, VERINT is committed to helping businesses transform data into valuable intelligence to achieve their strategic goals.

Center of Excellence in Financial Analytics - Data Analytics and FP&A Innovation Team Description: The Center of Excellence in Financial Analytics comprises a dynamic and diverse team of professionals with expertise in data analytics, data manipulation, dashboard building, and FP&A. Our team is dedicated to driving innovation, leveraging analytics techniques, and utilizing financial insights to optimize decision-making within the organization. Collaborative and driven, our team members work closely together to deliver high-quality business insights and contribute to the success of the Global CFO Organization.

Location : Bangalore, India

Job Summary: 

We are seeking a highly skilled and motivated Specialist – Machine Learning and AI to join our Financial Analytics Center of Excellence in Bangalore. This role will support cross-functional business teams—including CFO, CTO/Product Analytics, Investor Relations, Corporate FP&A, Customer Success, Sales Operations, Reporting & Consolidation, and Partner Alliances—by designing and deploying advanced AI/ML solutions to solve complex business challenges.

The ideal candidate will bring 5–10 years of hands-on experience in applying machine learning and artificial intelligence in financial analytics, product usage analysis, and general business operations in a B2B software/SaaS environment.

Job Description:

Required Qualifications:

Preferred Qualifications:

Why Join Us?

Role Overview:

As a Machine Learning & Data Science Intern, you will work closely with our team to develop data-driven solutions, explore datasets, and apply ML techniques to real-world problems. This is a hands-on opportunity to learn, experiment, and contribute to building products that make a difference.

Key Responsibilities:

• Assist in collecting, cleaning, and analyzing large datasets.
• Implement and experiment with machine learning models and algorithms.
• Support in building predictive models, recommendation systems, or NLP applications.
• Visualize data and present insights to the team.
• Collaborate with engineers and product teams to integrate ML solutions.
• Stay updated with the latest research and ML techniques.

Requirements:

• Currently pursuing or recently completed a degree in Computer Science, Data Science, Statistics, or a related field.
• Basic understanding of machine learning algorithms, statistics, and data analysis.
• Familiarity with Python, R, or similar languages.
• Experience with ML libraries such as scikit-learn, TensorFlow, or PyTorch is a plus.
• Strong problem-solving skills and curiosity to learn.
• Good communication skills and ability to work in a collaborative environment.

What You'll Learn:

• Hands-on experience with real-world ML projects.
• End-to-end data science workflow, from data collection to model deployment.
• Exposure to working in a fast-paced startup environment.
• Collaborative teamwork and product-focused thinking.