27,390 AI Programmer jobs in India
Ai Programmer
Posted today
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About the organization:
Ubisoft is a leading developer and publisher of video games worldwide whose brand portfolio covers blockbusters such as Assassin’s Creed, Watch Dogs, The Division, Prince of Persia and Splinter Cell, Ghost Recon, Rainbow Six, Rayman, Just Dance as well as games for the whole family, from Imagine and Petz to Raving Rabbids. To continue building on its achievements for the future, Ubisoft is looking for new talent for its growing Indian studios!
We favor diversity, creativity, drive and team spirit. If you have the skills and the desire to succeed, we want you to be a part of this exciting period of growth
Job Title: AI Programmer.
**Note**: Final Designation/Level will be decided based on the relevant experience and interview ratings.
Job summary:
UBISOFT is seeking for AI Programmer having proficiency in C++, Scripting, and strong skills in AI technologies applied to video game programming. Good 3D mathematical skills are required. Interest in video games and knowledge of different video game consoles like Xbox One X/S, PlayStation 4, 5 and other cutting-edge game consoles would be an advantage (But not a requirement).
As an AI Programmer you will be working with gameplay team to own at least one aspect of AI in a gameplay interaction system - designing, implementing, and polishing AI behaviors. Another responsibility of AI Programmer is to come up with Tooling solutions for Technical Design.
Common Requirements
- Minimum 3 Years of experience making video games as gameplay/AI programmer
- Knowledge of AI Solver Algorithms & Decision-Making Techniques
- Strong knowledge of Linear Algebra & 3D Math
- Excellent debugging and problem-solving skills
- Take ownership of entire features and components of the game lifecycle and lead the product design and code elements
- Good communication skills both verbally and written
- Exceptional attention to detail, accuracy, and commitment to maintaining high standards of work
- Team player with Positive and "can-do" attitude with critical thinking and problem-solving skills
- Experience developing character mechanics is a plus.
- Experience developing animation driven features and knowledge of Animation State Machines is a plus
Essential Technical Requirements and Duties
- Strong programming skills in C++
- Strong experience with Engine and Gameplay Dev Processes
- Understanding of multi-threaded principles
- Ability to work efficiently with a large, existing code base
- Proficient in refactoring and optimizing existing systems
- Collaborate with other members & departments of project team to deliver large and complex features on time and to a high standard
- Be part of the development process and contribute improvements and suggestions, driving the quality of the code throughout the entire production cycle
Software Engineer, Machine Learning
Posted today
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Who We Are
Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. For the first time ever, safety, operations and finance teams can manage their drivers, vehicles, equipment, and fleet related spend in a single system. Combined with industry leading AI, the Motive platform gives you complete visibility and control, and significantly reduces manual workloads by automating and simplifying tasks.
Motive serves more than 100,000 customers – from Fortune 500 enterprises to small businesses – across a wide range of industries, including transportation and logistics, construction, energy, field service, manufacturing, agriculture, food and beverage, retail, and the public sector.
Visit gomotive.com to learn more.
About The Role
As a Software engineer - Machine Learning, you will be a part of a passionate team whose mission is to bring intelligence to the world's trucks. The team is focused on building technology to understand driving behavior, identify risk factors, and intelligently suggest coachable events that not only improve the fleet safety and potentially save millions of dollars but also contribute to making the roads safer. You will have a unique opportunity to work with a high-caliber and fast-paced team which consists of experienced researchers and engineers in Computer Vision, Machine Learning, Deep Learning, and Robotics with a track record of previous products and top-tier publications.
You will play a critical role in building and improving a technology that will be used by millions of trucks. In this role, you will design and implement complex machine-learning systems. You will have the opportunity to build and/or improve ML/computer vision systems. Identify where models and algorithms are failing, debug issues, propose solutions, implement, and deploy them on millions of trucks. You will also get exposure to large-scale ML infra and scaling that facilitates large amounts of data to train, test, and validate computer vision systems.
What You'll Do
- Evaluate and improve the performance of existing models and algorithms already in production
- Prototype and implement ML modules for complex AI features
- Build and optimize CV/ML algorithms for real-time performance so they can run on our embedded platform, i.e., the next-gen AI dashcam
- Write proficient Python and C++ code to build and improve CV algorithms, ML services, training, model compression, and porting pipelines
- Collaborate with cross-functional teams such as Embedded, Backend, Frontend, Hardware, QA, and the broader AI team to ensure the development of robust and sustainable AI systems
- Build automated deployment, validation, and active learning pipelines.
- Bachelor's Degree in Computer Science, Electrical Engineering, or related field. A Master's degree is a plus.
- 5+ years of machine learning and/or data science experience
- Solid mathematical foundation in Deep Learning, Machine Learning, and optimization approaches.
- Strong experience in Python or C++
- Experience in the following tools and technologies is a plus. AWS (SageMaker, Lambda, EC2, S3, RDS), CI/CD, Terraform, Docker, and Kubernetes.
- Prior experience with optimizing and deploying ML models on embedded devices is a strong plus
Please review our Candidate Privacy Notice here .
UK Candidate Privacy Notice here.
The applicant must be authorized to receive and access those commodities and technologies controlled under U.S. Export Administration Regulations. It is Motive&aposs policy to require that employees be authorized to receive access to Motive products and technology.
Skills Required
S3, Machine Learning, Rds, Deep Learning, Lambda, Ec2, Docker, Terraform, Kubernetes, Python, Computer Vision, Aws
Software Engineer, Machine Learning
Posted today
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- Meta is looking for Software Engineer, Machine Learning to join our dynamic team and embark on a rewarding career journey. We are seeking a highly skilled and motivated Machine Learning Engineer to join our dynamic team. The Machine Learning Engineer will be responsible for designing, developing, and deploying machine learning models to solve complex problems and enhance our products or services. The ideal candidate will have a strong background in machine learning algorithms, programming, and data analysis. Responsibilities : Problem Definition : Collaborate with cross-functional teams to define and understand business problems suitable for machine learning solutions. Translate business requirements into machine learning objectives. Data Exploration and Preparation : Analyze and preprocess large datasets to extract relevant features for model training. Address data quality issues and ensure data readiness for machine learning tasks. Model Development : Develop and implement machine learning models using state-of-the-art algorithms. Experiment with different models and approaches to achieve optimal performance. Training and Evaluation : Train machine learning models on diverse datasets and fine-tune hyperparameters. Evaluate model performance using appropriate metrics and iterate on improvements. Deployment : Deploy machine learning models into production environments. Collaborate with DevOps and IT teams to ensure smooth integration. Monitoring and Maintenance : Implement monitoring systems to track model performance in real-time. Regularly update and retrain models to adapt to evolving data patterns. Documentation : Document the entire machine learning development pipeline, from data preprocessing to model deployment. Create user guides and documentation for end-users and stakeholders. Collaboration : Collaborate with data scientists, software engineers, and domain experts to achieve project goals. Participate in cross-functional team meetings and knowledge-sharing sessions.
Skills Required
Tensorflow, Machine Learning, Data Analysis, Python, Sql, Deep Learning
Staff Software Engineer, Machine Learning
Posted today
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+ Bachelor's degree or equivalent practical experience.
+ 8 years of experience in software development.
+ 5 years of experience in Machine Learning, NLP, etc. and launching software products, and 3 years of experience with software design and architecture.
**Preferred qualifications:**
+ 8 years of experience with data structures/algorithms.
+ Experience working collaboratively with partner teams such as Product Managers and other Engineering teams.
+ Experience as a technical lead.
+ Experience using Google Cloud Platform (GCP) or other Cloud services.
+ Software development experience in two or more general purpose programming languages, including in back-end programming.
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
Corp Engineering Machine Learning team is responsible for applying AL/ML techniques to Google's own enterprise challenges. The team works closely with research as well as enterprise teams to identify opportunities for AI incorporation and application.
At Corp Eng, we build world-leading business solutions that scale a more helpful Google for everyone. As Google's IT organization, we provide end-to-end solutions for organizations across Google. We deliver the right tools, platforms, and experiences for all Googlers as they create more helpful products and services for everyone. In the simplest terms, we are Google for Googlers.
**Responsibilities:**
+ Design and implement scalable AI solutions for Google's enterprise functions leveraging our enterprise AI best practices and foundational building blocks.
+ Collaborate with ML engineers and leads on developing reusable enterprise AI primitives.
+ Drive innovation in AI and agentic solutions that help transform Google's business functions.
+ Partner with PM/UX in defining product roadmap and new feature scope.
+ Mentor junior engineers and contribute to the overall technical direction of the team.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also and If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form:
Software Engineer-Machine Learning/AI
Posted 3 days ago
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As a key member of our development team, will be responsible for leveraging your expertise in Python and ML/AI to design and implement advanced analytics, predictive modeling, and intelligent features within our enterprise applications. The primary skills will play a crucial role in enhancing the functionality and performance of our software solutions, enabling us to deliver innovative and data-driven applications to our clients.
In addition to your primary skillset, the secondary proficiency in Angular, R, and SQL will be valuable in collaborating with cross-functional teams to develop and maintain enterprise applications. The ability to work with front-end technologies like Angular, backend technologies like Python, and databases using SQL will be essential in ensuring the overall success of our projects.
**Primary Responsibility:**
+ Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so
**Required Qualifications:**
+ Soild primary skillset in Python programming and machine learning/artificial intelligence (ML/AI)
+ Secondary expertise in Angular, R, and SQL, to join our team
+ The ideal candidate will have a minimum of 4+ years of experience in software development, specifically in developing and maintaining high-performance enterprise applications
+ Experience of handling 2-3 good enterprise level projects in ML/AI
_At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone - of every race, gender, sexuality, age, location and income - deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission._
Sr Software Engineer - Machine Learning
Posted 4 days ago
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Job Description
About A79.ai
A79.ai is a VC-funded innovator building an agentic AI platform for the enterprise especially biopharma and life sciences industries. Our enterprise-grade platform enables rapid deployment of complex AI agent workflows that continuously learn, adapt, and evolve — delivering measurable ROI for pharmaceutical and biotech clients.
Position Summary
As the Sr Software Engineer - Agentic AI, you will lead the architecture, coding, integration, and deployment of advanced agentic AI solutions tailored to various industries specifically to the pharmaceutical, biotech and life sciences sector. This role requires deep technical engineering skills combined with domain expertise in biopharma analytics, enabling clients to unlock new levels of automation, insight, and forecasting accuracy.
You will work hands-on with Python, AI/ML frameworks, and data engineering pipelines while collaborating with A79.ai’s product, data science, and client teams to design and implement robust AI-driven forecasting, analytics, and decision-support solutions.
Key Responsibilities
- End-to-End Solution Engineering: Architect, code, and deploy agentic AI-powered systems, integrating life sciences data in real-world evidence, market dynamics, and internal client datasets.
- Model Development: Build advanced AI agents in Python, leveraging statistical methods, AI/ML techniques, and automation to support commercial strategy and portfolio planning.
- Custom AI Workflow Design: Develop and optimize reusable Python-based agent workflows for biopharma & enterprise use cases, ensuring scalability and maintainability.
- Systems Integration & Data Pipelines: Engineer robust data pipelines to integrate client systems, third-party APIs, and internal datasets into forecasting workflows, ensuring reliability, security, and performance.
- Technical Client Advisory: Serve as the principal technical point of contact for enterprise clients, translating complex AI engineering details into business-relevant insights.
- Performance Monitoring & Optimization: Implement automated monitoring, logging, and retraining frameworks to ensure ongoing model accuracy and stability.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Data Science, Software Engineering, or related technical discipline.
- 3 to 5+ years hands-on engineering experience in AI/ML solutions , data pipelines, or enterprise analytics preferably within biopharma or life sciences.
- Preferred Qualification: Familiarity with Biotech, pharmaceutical, Life sciences use cases & technical complexities in commercial, marketing, marketing ops, medical, patient services or related use cases.
- Advanced or Expert-level Python programming skills with proficiency in pandas, NumPy, scikit-learn, PyTorch or TensorFlow.
- Experience with agentic AI platforms and automation frameworks.
- Familiarity with cloud platforms (AWS, Azure, GCP) and containerized deployments (Docker, Kubernetes).
- Strong communication skills for cross-functional and client-facing work.
- High energy, detail-oriented, self-motivated, and committed to delivering scalable, production-ready solutions.
- Software Development / Biotechnology
Full-time
Sr Software Engineer - Machine Learning
Posted today
Job Viewed
Job Description
About A79.ai
A79.ai is a VC-funded innovator building an agentic AI platform for the enterprise especially biopharma and life sciences industries. Our enterprise-grade platform enables rapid deployment of complex AI agent workflows that continuously learn, adapt, and evolve — delivering measurable ROI for pharmaceutical and biotech clients.
Position Summary
As the Sr Software Engineer - Agentic AI, you will lead the architecture, coding, integration, and deployment of advanced agentic AI solutions tailored to various industries specifically to the pharmaceutical, biotech and life sciences sector. This role requires deep technical engineering skills combined with domain expertise in biopharma analytics, enabling clients to unlock new levels of automation, insight, and forecasting accuracy.
You will work hands-on with Python, AI/ML frameworks, and data engineering pipelines while collaborating with A79.ai’s product, data science, and client teams to design and implement robust AI-driven forecasting, analytics, and decision-support solutions.
Key Responsibilities
- End-to-End Solution Engineering: Architect, code, and deploy agentic AI-powered systems, integrating life sciences data in real-world evidence, market dynamics, and internal client datasets.
- Model Development: Build advanced AI agents in Python, leveraging statistical methods, AI/ML techniques, and automation to support commercial strategy and portfolio planning.
- Custom AI Workflow Design: Develop and optimize reusable Python-based agent workflows for biopharma & enterprise use cases, ensuring scalability and maintainability.
- Systems Integration & Data Pipelines: Engineer robust data pipelines to integrate client systems, third-party APIs, and internal datasets into forecasting workflows, ensuring reliability, security, and performance.
- Technical Client Advisory: Serve as the principal technical point of contact for enterprise clients, translating complex AI engineering details into business-relevant insights.
- Performance Monitoring & Optimization: Implement automated monitoring, logging, and retraining frameworks to ensure ongoing model accuracy and stability.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Data Science, Software Engineering, or related technical discipline.
- 3 to 5+ years hands-on engineering experience in AI/ML solutions, data pipelines, or enterprise analytics preferably within biopharma or life sciences.
- Preferred Qualification: Familiarity with Biotech, pharmaceutical, Life sciences use cases & technical complexities in commercial, marketing, marketing ops, medical, patient services or related use cases.
- Advanced or Expert-level Python programming skills with proficiency in pandas, NumPy, scikit-learn, PyTorch or TensorFlow.
- Experience with agentic AI platforms and automation frameworks.
- Familiarity with cloud platforms (AWS, Azure, GCP) and containerized deployments (Docker, Kubernetes).
- Strong communication skills for cross-functional and client-facing work.
- High energy, detail-oriented, self-motivated, and committed to delivering scalable, production-ready solutions.
- Software Development / Biotechnology
Full-time
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Senior Software Engineer, Machine Learning
Posted today
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Responsibilities:
- Design, develop, and implement machine learning models and algorithms.
- Build and maintain scalable ML pipelines for data preprocessing, training, and deployment.
- Collaborate with data scientists and stakeholders to understand business requirements and translate them into ML solutions.
- Experiment with various ML techniques and technologies to find the best approaches.
- Optimize model performance, accuracy, and efficiency.
- Integrate ML models into production systems and applications.
- Develop and maintain ML infrastructure and tools.
- Stay up-to-date with the latest advancements in machine learning and artificial intelligence.
- Troubleshoot and debug ML systems and models.
- Contribute to the team's knowledge base and best practices.
- Master's or Ph.D. in Computer Science, Data Science, Machine Learning, or a related quantitative field.
- 5+ years of professional experience in software engineering with a focus on machine learning.
- Strong programming skills in Python and experience with ML libraries such as TensorFlow, PyTorch, Keras, and Scikit-learn.
- Proficiency in data manipulation and analysis tools (e.g., Pandas, NumPy).
- Experience with cloud ML platforms (AWS, Azure, GCP) and MLOps practices.
- Solid understanding of statistical modeling, deep learning, and various ML algorithms.
- Experience with big data technologies (e.g., Spark) is a plus.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills.
- Ability to work effectively in a remote, team-oriented environment.
Sr Software Engineer - Machine Learning
Posted 4 days ago
Job Viewed
Job Description
A79.ai is a VC-funded innovator building an agentic AI platform for the enterprise especially biopharma and life sciences industries. Our enterprise-grade platform enables rapid deployment of complex AI agent workflows that continuously learn, adapt, and evolve — delivering measurable ROI for pharmaceutical and biotech clients.
Position Summary
As the Sr Software Engineer - Agentic AI, you will lead the architecture, coding, integration, and deployment of advanced agentic AI solutions tailored to various industries specifically to the pharmaceutical, biotech and life sciences sector. This role requires deep technical engineering skills combined with domain expertise in biopharma analytics, enabling clients to unlock new levels of automation, insight, and forecasting accuracy.
You will work hands-on with Python, AI/ML frameworks, and data engineering pipelines while collaborating with A79.ai’s product, data science, and client teams to design and implement robust AI-driven forecasting, analytics, and decision-support solutions.
Key Responsibilities
End-to-End Solution Engineering: Architect, code, and deploy agentic AI-powered systems, integrating life sciences data in real-world evidence, market dynamics, and internal client datasets.
Model Development: Build advanced AI agents in Python, leveraging statistical methods, AI/ML techniques, and automation to support commercial strategy and portfolio planning.
Custom AI Workflow Design: Develop and optimize reusable Python-based agent workflows for biopharma & enterprise use cases, ensuring scalability and maintainability.
Systems Integration & Data Pipelines: Engineer robust data pipelines to integrate client systems, third-party APIs, and internal datasets into forecasting workflows, ensuring reliability, security, and performance.
Technical Client Advisory: Serve as the principal technical point of contact for enterprise clients, translating complex AI engineering details into business-relevant insights.
Performance Monitoring & Optimization: Implement automated monitoring, logging, and retraining frameworks to ensure ongoing model accuracy and stability.
Qualifications
Bachelor’s or Master’s degree in Computer Science, Data Science, Software Engineering, or related technical discipline.
3 to 5+ years hands-on engineering experience in AI/ML solutions , data pipelines, or enterprise analytics preferably within biopharma or life sciences.
Preferred Qualification: Familiarity with Biotech, pharmaceutical, Life sciences use cases & technical complexities in commercial, marketing, marketing ops, medical, patient services or related use cases.
Advanced or Expert-level Python programming skills with proficiency in pandas, NumPy, scikit-learn, PyTorch or TensorFlow.
Experience with agentic AI platforms and automation frameworks.
Familiarity with cloud platforms (AWS, Azure, GCP) and containerized deployments (Docker, Kubernetes).
Strong communication skills for cross-functional and client-facing work.
High energy, detail-oriented, self-motivated, and committed to delivering scalable, production-ready solutions.
Industry Software Development / Biotechnology
Employment Type Full-time
Sr Software Engineer - Machine Learning
Posted today
Job Viewed
Job Description
About A79.ai
A79.ai is a VC-funded innovator building an agentic AI platform for the enterprise especially biopharma and life sciences industries. Our enterprise-grade platform enables rapid deployment of complex AI agent workflows that continuously learn, adapt, and evolve — delivering measurable ROI for pharmaceutical and biotech clients.
Position Summary
As the Sr Software Engineer - Agentic AI, you will lead the architecture, coding, integration, and deployment of advanced agentic AI solutions tailored to various industries specifically to the pharmaceutical, biotech and life sciences sector. This role requires deep technical engineering skills combined with domain expertise in biopharma analytics, enabling clients to unlock new levels of automation, insight, and forecasting accuracy.
You will work hands-on with Python, AI/ML frameworks, and data engineering pipelines while collaborating with A79.ai’s product, data science, and client teams to design and implement robust AI-driven forecasting, analytics, and decision-support solutions.
Key Responsibilities
- End-to-End Solution Engineering: Architect, code, and deploy agentic AI-powered systems, integrating life sciences data in real-world evidence, market dynamics, and internal client datasets.
- Model Development: Build advanced AI agents in Python, leveraging statistical methods, AI/ML techniques, and automation to support commercial strategy and portfolio planning.
- Custom AI Workflow Design: Develop and optimize reusable Python-based agent workflows for biopharma & enterprise use cases, ensuring scalability and maintainability.
- Systems Integration & Data Pipelines: Engineer robust data pipelines to integrate client systems, third-party APIs, and internal datasets into forecasting workflows, ensuring reliability, security, and performance.
- Technical Client Advisory: Serve as the principal technical point of contact for enterprise clients, translating complex AI engineering details into business-relevant insights.
- Performance Monitoring & Optimization: Implement automated monitoring, logging, and retraining frameworks to ensure ongoing model accuracy and stability.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Data Science, Software Engineering, or related technical discipline.
- 3 to 5+ years hands-on engineering experience in AI/ML solutions , data pipelines, or enterprise analytics preferably within biopharma or life sciences.
- Preferred Qualification: Familiarity with Biotech, pharmaceutical, Life sciences use cases & technical complexities in commercial, marketing, marketing ops, medical, patient services or related use cases.
- Advanced or Expert-level Python programming skills with proficiency in pandas, NumPy, scikit-learn, PyTorch or TensorFlow.
- Experience with agentic AI platforms and automation frameworks.
- Familiarity with cloud platforms (AWS, Azure, GCP) and containerized deployments (Docker, Kubernetes).
- Strong communication skills for cross-functional and client-facing work.
- High energy, detail-oriented, self-motivated, and committed to delivering scalable, production-ready solutions.
- Software Development / Biotechnology
Full-time