1632 AI Professionals jobs in Bangalore

• Conducting advanced research in deep learning architectures, training methodologies, and optimization techniques.
• Developing and implementing state-of-the-art AI models for complex real-world problems.
• Leading and mentoring a team of AI researchers and engineers.
• Collaborating with product and engineering teams to translate research breakthroughs into practical applications.
• Staying abreast of the latest advancements in AI and emerging technologies.
• Contributing to the intellectual property portfolio through patents and publications.
• Presenting research findings to internal stakeholders and external audiences.
• Ensuring the ethical and responsible development and deployment of AI systems.
• Designing and executing rigorous experiments to validate research hypotheses.
• Fostering a culture of innovation and scientific excellence within the research group.

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• 10+ years of relevant research experience in deep learning.
• Proven track record of leading successful research projects and publishing in top venues (NeurIPS, ICML, ICLR, CVPR, ACL, etc.).
• Expertise in one or more areas such as deep reinforcement learning, generative models, transformer networks, or graph neural networks.
• Strong programming skills in Python and proficiency with deep learning frameworks (e.g., TensorFlow, PyTorch).
• Experience with large-scale data processing and distributed training.
• Excellent communication and leadership skills, with the ability to articulate complex technical concepts to diverse audiences.
• Demonstrated ability to mentor and guide junior researchers.
• Experience in building and deploying AI models in production environments is a strong plus.

OpenCV University is looking for Developers obsessed with Research, Experimentation, Teaching, and Knowledge Sharing in the field of Computer Vision, Image Processing, and Deep Learning.

Company Description

OpenCV University is a premier AI education institution offering in-depth and meticulously designed courses on Computer Vision and Deep Learning. We are creating the world's best resources for learning Artificial Intelligence and Computer Vision. Our courses and blogs are used by thousands of users daily. Check out:

Courses:

Blog:

YouTube:

Our Journey

We have come a long way from creating a Computer Vision Course in 2017, when Online Learning was just starting, to a full-fledged Ed-tech offering AI Courses.

We take pride in saying we are a Bootstrapped, profitable platform powered by Big Vision Consulting. Check out our journey on the About Us page:

Mission:

Our Mission is to make OpenCV the No.1 destination for anything related to Computer Vision, for students to learn, for working professionals to upskill, and for Companies to hire talent.

Vision:

OpenCV University's vision is to empower learners across the globe to be a part of a collective AI workforce through our comprehensive courses and an expert team of world-class instructors.

Responsibilities:

This is your opportunity to truly shape one of the most influential disciplines of our time - Artificial Intelligence. We are hiring Computer Vision Engineer professionals with a passion for research and teaching in the field of Computer Vision, Image Processing, and Deep Learning.

Your role will be multifold meaning you will be exposed to a wide variety of work ranging from research to development to deployment to teaching and mentorship. Your responsibilities include:

• Research the latest trends and developments in computer vision technology and techniques and write SEO-compliant blog articles on the latest topics while maintaining the highest quality standards. (For example, currently, we are working on Generative AI and Transformers).
• Work on interesting CV and DL experiments, projects, and applications that become part of the course or deploy applications for demos of blog articles. This also includes creating supporting multimedia content, such as images, videos, and GIFs.
• Designing assessment materials for the courses, such as assignments, projects, and quizzes.
• Mentoring course students in the form of doubt-clearing sessions and career guidance via meetups and forums.
• Working on course updates in the form of checking version changes, corner cases, etc.

Skills required:

• Strong Python programming knowledge (C++ knowledge is a bonus).
• Experience working with computer vision libraries like OpenCV. (TensorFlow, and PyTorch knowledge is a bonus).
• Strong knowledge of deep learning-based computer vision algorithms, classification, segmentation, object detection, key-points detection, etc.
• Knowledge about LLMs, RAGs, VLMs is a plus.
• Knowledge of Other Tools like YOLO, Mediapipe, Android, iOS, FastAPI, Docker, and Kubernetes is a bonus.
• Excellent English speaking and writing skills.
• Candidates with blog posts on computer vision will be preferred.
• Candidates with OpenCV AI course certification will be preferred.
• Strong communication and collaboration skills.

Job description

A job where you increase the depth of your expertise in computer vision.

A job where you learn and implement the SOTA papers.

A job where you write vectorized code that runs in seconds, not in minutes.

A job where models learn to see and understand the world around them.

A job where models run real-time because you optimize every byte.

A job where you keep the career promises that you made to yourself.

A job where you keep the learning promises that you made to yourself.

If this scares you, don't read. If this excites you, we might love you.

We are looking for a passionate Machine Learning Engineer to join our team. The ideal candidate will be an enthusiastic developer with 3-5 years of experience in the field of Computer Vision and Artificial Intelligence. If building things and writing code excite you, this is the startup you belong.

Key Technologies:

• Must be an expert in Python and Numpy.
• Experience with Tensorflow/Keras/Pytorch is required.
• Unsatiable hunger for writing beautiful code.
• Knowledge of python design-patterns.
• Some experience with C++ is preferred.
• Knowledge working closely with version control (GIT).
• Excellent communication skills and being able to work independently.
• Strong problem-solving and coding skills override everything else written above.

About AIMonk:

Run by IIT Kanpur alumni, AIMonk is a deep tech startup. We build beautiful and scalable software using computer vision and deep learning. We pride ourselves in solving problems nobody else can in the space.

• Lead the design, development, and implementation of scalable machine learning systems and pipelines.
• Architect and optimize deep learning models using frameworks such as TensorFlow, PyTorch, or JAX.
• Develop and deploy production-ready ML solutions, ensuring reliability, performance, and scalability.
• Collaborate with research scientists to translate novel algorithms and experimental findings into robust engineering implementations.
• Mentor and guide a team of ML engineers, fostering best practices in coding, testing, and deployment.
• Define and implement MLOps strategies for model versioning, monitoring, and continuous integration/deployment.
• Conduct thorough code reviews and provide constructive feedback to team members.
• Optimize model performance for efficiency and effectiveness across various hardware platforms.
• Stay abreast of the latest advancements in machine learning, deep learning, and AI research.
• Contribute to the strategic technical direction of the ML engineering team and the broader organization.
• Troubleshoot and resolve complex technical issues in production ML systems.

• Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• Minimum of 7 years of experience in machine learning engineering, with a strong focus on deep learning.
• Proven experience in leading ML projects from research to production.
• Deep expertise in Python and proficiency with core ML libraries (e.g., scikit-learn, pandas, NumPy).
• Extensive hands-on experience with deep learning frameworks like TensorFlow, PyTorch, or Keras.
• Strong understanding of MLOps principles and tools (e.g., Docker, Kubernetes, CI/CD, MLflow).
• Experience with cloud platforms (AWS, Azure, GCP) and their ML services.
• Excellent problem-solving, analytical, and algorithmic thinking skills.
• Exceptional leadership, communication, and collaboration abilities, critical for a remote-first environment.
• Experience with large-scale data processing and distributed systems.

Head of Data Science & Artificial Intelligence

Location: Bangalore, India

Company: Alegeus

Reports To: Chief Technology Officer

About Alegeus

Alegeus is the market leader in healthcare funding and payments, powering health savings

accounts (HSAs), flexible spending accounts (FSAs), health reimbursement arrangements

(HRAs), and other consumer-directed benefits. Our platform enables payers, employers, and

consumers to optimize healthcare spending and maximize value.

As we continue to innovate in AI-driven healthcare payment solutions, we seek a Senior Vice

President of Artificial Intelligence & Data Science to lead our AI and data strategy, drive

innovation in agentic product offerings, and establish an AI-first culture within the organization.

Role Summary

The Head of Data Science & AI will lead Alegeus’ efforts in building and scaling AI-driven

products and services. This role requires an AI leader who has built AI and data science teams

from the ground up, managed teams ranging from 10 to 100+, and successfully delivered AIpowered

products.

This leader will be responsible for working with the leadership team across functions to define

AI strategy, managing geographically distributed AI and data science teams across the US and

Bangalore, and ensuring AI innovation aligns with business objectives and regulatory

requirements in the healthcare funding and payments industry.

Key Responsibilities

AI & Data Science Strategy & Execution

• Collaborate with cross-functional leadership (Product, Engineering, Operations,

Compliance, and Finance) to define and drive Alegeus’ AI and data science strategy.

• Lead the development of agentic AI products that automate decision-making, enhance

personalization, and improve operational efficiencies.

• Identify high-impact AI and machine learning use cases, including predictive analytics,

fraud detection, automated customer service, and intelligent financial management

tools.

• Ensure AI initiatives are ethically designed, regulatory-compliant (HIPAA, GDPR, etc.),

and secure in handling sensitive healthcare and financial data.

• Manage Data Engineering teams delivering on a vision of an AI-ready enterprise data

platform, ensuring seamless data integration, transformation, and optimization to

support advanced AI capabilities.

Team Leadership & Organizational AI Maturity

• Build and scale an AI and data science practice from the ground up, hiring, managing,

and mentoring a high-performing team of Data Engineers, AI Engineers, Data Scientists,

and ML Engineers.

• Lead teams from 10 to 100 members, ensuring talent acquisition, training, and retention

strategies foster a world-class AI organization.

• Manage geographically distributed teams across the US and Bangalore, ensuring

seamless collaboration, cultural alignment, and operational efficiency.

• Drive AI literacy across the organization by collaborating with product, engineering, and

business teams to integrate AI capabilities into Alegeus' core offerings.

• Cultivate a culture of AI-first thinking, innovation, and cross-functional collaboration.

AI Product Development & Deployment

• Lead the design, development, and deployment of AI-powered products that create

tangible business value in healthcare payments, funding accounts, and personalized

consumer experiences.

• Oversee AI-powered conversational agents, workflow automation, and decision-support

systems to improve customer and partner interactions.

• Work closely with product and engineering teams to deploy AI solutions at scale within

Alegeus’ technology ecosystem.

• Implement MLOps best practices to ensure AI models are robust, continuously

improving, and operationally efficient.

Data Strategy & Governance

• Work with the enterprise AI taskforce and data governance frameworks that ensure

compliance, security, and responsible AI practices.

• Drive data strategy to optimize data pipelines, analytics infrastructure, and AI model

performance.

• Leverage AI to enhance data-driven decision-making, risk assessment, and fraud

prevention across healthcare financial transactions.

Industry Leadership & Innovation

• Keep Alegeus at the forefront of AI-driven healthcare payment solutions, identifying and

integrating emerging AI trends and technologies.

• Build external partnerships with AI research institutions, healthcare providers, and

fintech innovators to accelerate AI-driven capabilities.

• Represent Alegeus in industry conferences, AI thought leadership forums, and

regulatory discussions on AI in healthcare finance.

Qualifications & Experience

Must-Have Qualifications

• 15+ years of experience in Analytics, Data Science, AI, or closely related fields, with at

least 5 years in a leadership role (Director or above).

• Proven experience building AI and data science teams from scratch and scaling teams

from 10 to 100.

• Successfully delivered AI-powered products, from conception to deployment, that

created real business impact.

• Deep knowledge of AI/ML technologies, LLMs, NLP, computer vision, and reinforcement

learning.

• Experience in healthcare, fintech, or payments industry, particularly in AI applications

for fraud detection, predictive analytics, and intelligent automation.

• Strong understanding of AI governance, ethics, data privacy laws (HIPAA, GDPR, etc.),

and regulatory compliance in AI-driven healthcare payment systems.

• Experience in MLOps, cloud AI deployment (AWS, Azure, GCP), and data infrastructure

optimization.

• Proven ability to manage geographically distributed teams across the US and Bangalore,

ensuring productivity, cultural alignment, and operational efficiency.

• Experience managing Data Engineering teams to support an AI-ready enterprise data

platform.

• Demonstrated ability to work across leadership functions to integrate AI strategy into

business goals.

• Excellent leadership, strategic thinking, and cross-functional collaboration skills.

Preferred Qualifications

• Prior experience leading AI innovation in a healthcare payments or fintech environment.

• Background in financial modeling, AI-powered payment systems, or healthcare funding

analytics.

• Experience with AI-powered consumer engagement tools, AI-driven claims processing,

or smart financial assistants.

• Strong relationships with AI research labs, tech vendors, and industry leaders.

Why Join Alegeus?

• Industry Leadership: Be at the forefront of AI-driven transformation in healthcare

funding and payments.

• High-Impact Role: Shape the future of AI in healthcare finance and influence how

millions manage their healthcare expenses.

• Growth Opportunity: Lead a team from early-stage AI adoption to a mature AI-driven

organization.

• Global Exposure: Work with and manage distributed teams across the US and

Bangalore, driving AI innovation at scale.

• Innovative Culture: Work in a fast-paced environment with a leadership team

committed to AI and data-driven decision-making.

Your potential, unleashed.

India’s impact on the global economy has increased at an exponential rate and Deloitte presents an opportunity to unleash and realize your potential amongst cutting edge leaders, and organizations shaping the future of the region, and indeed, the world beyond.

At Deloitte, your whole self to work, every day. Combine that with our drive to propel with purpose and you have the perfect playground to collaborate, innovate, grow, and make an impact that matters.

The Team

Deloitte’s Technology & Transformation practice can help you uncover and unlock the value buried deep inside vast amounts of data. Our global network provides strategic guidance and implementation services to help companies manage data from disparate sources and convert it into accurate, actionable information that can support fact-driven decision-making and generate an insight-driven advantage. Our practice addresses the continuum of opportunities in business intelligence & visualization, data management, performance management and next-generation analytics and technologies, including big data, cloud, cognitive and machine learning. Learn More About EAD

Your work profile:

Job Title: Product Owner (AI/Data Science initiatives

Experience Range: 8–15 Years

Location: Bangalore / Chennai Only

Note: Apply if you can join within 30 Days

About the Role

Initiatives - AI-driven initiatives targeting significant productivity spanning across credit origination and monitoring. The AI driven initiatives needs to be closely integrated with the credit applications and processes.

This requires creation of solution which will require data pipelines from multiple systems, classical ML and/or LLM (including RAG, COT etc.) based solutions and its seamless integration with the credit screens.

• Min 4+ years of banking domain experience (Must). Corporate/CIB credit domain experience (Good to have),
• Candidate with extensive(4+ years) hands-on coding and conceptual experience on the ML and AI solutions (both classical ML concepts and LLM – RAG, COT experience).
• Previous product owner/ product management experience (no project manager) - Proactive and self-driven individual who can manage the product enhancement (features, stories, and backlogs), stakeholder management (with business users/ Tech/ other tech partners/allied teams). Someone who takes the ownership of the initiative and can lead the initiative at constant pace.
• Hands-on coding experience with Python (Good to have).
• Work from SCB office Bengaluru 2 days a week, if required. (Good to have).

Your role as a Manager

At Deloitte India, we believe in the importance of leadership at all levels. We expect our people to embrace and live our purpose by challenging themselves to identify issues that are most important for our clients, our people, and for society, and make an impact that matters.

In addition to living our purpose, managers across our organisation:

• Develop self by actively seeking opportunities for growth, share knowledge and experiences with others, and act as a strong brand ambassadors
• Understand objectives for clients and Deloitte, align own work to objectives and set personal priorities
• Seek opportunities to challenge self
• Collaborate with others across businesses and borders to deliver and take accountability for own and team results
• Identify and embrace our purpose and values and put these into practice in their professional life
• Build relationships and communicate effectively in order to positively influence peers and other stakeholders

How you’ll grow

Connect for impact

Our exceptional team of professionals across the globe are solving some of the world’s most complex business problems, as well as directly supporting our communities, the planet, and each other. Know more in our Global Impact Report and our India Impact Report.

Empower to lead

You can be a leader irrespective of your career level. Our colleagues are characterised by their ability to inspire, support, and provide opportunities for people to deliver their best and grow both as professionals and human beings. Know more about Deloitte and our One Young World partnership.

Inclusion for all

At Deloitte, people are valued and respected for who they are and are trusted to add value to their clients, teams and communities in a way that reflects their own unique capabilities. Know more about everyday steps that you can take to be more inclusive. At Deloitte, we believe in the unique skills, attitude and potential each and every one of us brings to the table to make an impact that matters.

Drive your career

At Deloitte, you are encouraged to take ownership of your career. We recognise there is no one size fits all career path, and global, cross-business mobility and up / re-skilling are all within the range of possibilities to shape a unique and fulfilling career. Know more about Life at Deloitte.

Everyone’s welcome… entrust your happiness to us

Our workspaces and initiatives are geared towards your 360-degree happiness. This includes specific needs you may have in terms of accessibility, flexibility, safety and security, and caregiving. Here’s a glimpse of things that are in store for you.

Interview tips

We want job seekers exploring opportunities at Deloitte to feel prepared, confident and comfortable. To help you with your interview, we suggest that you do your research, know some background about the organisation and the business area you’re applying to. Check out recruiting tips from Deloitte professionals.

Your potential, unleashed.

India's impact on the global economy has increased at an exponential rate and Deloitte presents an opportunity to unleash and realize your potential amongst cutting edge leaders, and organizations shaping the future of the region, and indeed, the world beyond.

At Deloitte, your whole self to work, every day. Combine that with our drive to propel with purpose and you have the perfect playground to collaborate, innovate, grow, and make an impact that matters.

The Team

Deloitte's Technology & Transformation practice can help you uncover and unlock the value buried deep inside vast amounts of data. Our global network provides strategic guidance and implementation services to help companies manage data from disparate sources and convert it into accurate, actionable information that can support fact-driven decision-making and generate an insight-driven advantage. Our practice addresses the continuum of opportunities in business intelligence & visualization, data management, performance management and next-generation analytics and technologies, including big data, cloud, cognitive and machine learning. Learn More About EAD

Your work profile:

Job Title: Product Owner (AI/Data Science initiatives

Experience Range: 8-15 Years

Location: Bangalore / Chennai Only

Note: Apply if you can join within 30 Days

About the Role

Initiatives - AI-driven initiatives targeting significant productivity spanning across credit origination and monitoring. The AI driven initiatives needs to be closely integrated with the credit applications and processes.

This requires creation of solution which will require data pipelines from multiple systems, classical ML and/or LLM (including RAG, COT etc ) based solutions and its seamless integration with the credit screens.

• Min 4+ years of banking domain experience (Must). Corporate/CIB credit domain experience (Good to have),
• Candidate with extensive(4+ years) hands-on coding and conceptual experience on the ML and AI solutions (both classical ML concepts and LLM - RAG, COT experience).
• Previous product owner/ product management experience (no project manager) - Proactive and self-driven individual who can manage the product enhancement (features, stories, and backlogs), stakeholder management (with business users/ Tech/ other tech partners/allied teams). Someone who takes the ownership of the initiative and can lead the initiative at constant pace.
• Hands-on coding experience with Python (Good to have).
• Work from SCB office Bengaluru 2 days a week, if required. (Good to have).

Your role as a Manager

At Deloitte India, we believe in the importance of leadership at all levels. We expect our people to embrace and live our purpose by challenging themselves to identify issues that are most important for our clients, our people, and for society, and make an impact that matters.

In addition to living our purpose, managers across our organisation:

• Develop self by actively seeking opportunities for growth, share knowledge and experiences with others, and act as a strong brand ambassadors
• Understand objectives for clients and Deloitte, align own work to objectives and set personal priorities
• Seek opportunities to challenge self
• Collaborate with others across businesses and borders to deliver and take accountability for own and team results
• Identify and embrace our purpose and values and put these into practice in their professional life
• Build relationships and communicate effectively in order to positively influence peers and other stakeholders

How you'll grow

Connect for impact

Our exceptional team of professionals across the globe are solving some of the world's most complex business problems, as well as directly supporting our communities, the planet, and each other. Know more in our Global Impact Report and our India Impact Report.

Empower to lead

You can be a leader irrespective of your career level. Our colleagues are characterised by their ability to inspire, support, and provide opportunities for people to deliver their best and grow both as professionals and human beings. Know more about Deloitte and our One Young World partnership.

Inclusion for all

At Deloitte, people are valued and respected for who they are and are trusted to add value to their clients, teams and communities in a way that reflects their own unique capabilities. Know more about everyday steps that you can take to be more inclusive. At Deloitte, we believe in the unique skills, attitude and potential each and every one of us brings to the table to make an impact that matters.

Drive your career

At Deloitte, you are encouraged to take ownership of your career. We recognise there is no one size fits all career path, and global, cross-business mobility and up / re-skilling are all within the range of possibilities to shape a unique and fulfilling career. Know more about Life at Deloitte.

Everyone's welcome entrust your happiness to us

Our workspaces and initiatives are geared towards your 360-degree happiness. This includes specific needs you may have in terms of accessibility, flexibility, safety and security, and caregiving. Here's a glimpse of things that are in store for you.

Interview tips

We want job seekers exploring opportunities at Deloitte to feel prepared, confident and comfortable. To help you with your interview, we suggest that you do your research, know some background about the organisation and the business area you're applying to. Check out recruiting tips from Deloitte professionals.