1640 Keras Jobs - Page 25

Practice Overview PracticeData and Analytics (DNA) - Analytics Consulting Role Associate Director - Data & Analytics.LocationGurugram, India At Oliver Wyman DNA, we partner with clients to solve tough strategic business challenges with the power of analytics, technology, and industry expertise. We drive digital transformation, create customer-focused solutions, and optimize operations for the future. Our goal is to achieve lasting results in collaboration with our clients and stakeholders. We value and offer opportunities for personal and professional growth. Join our entrepreneurial team focused on delivering impact globally. Our Mission and Purpose Mission: Leverage Indias high-quality talent to provide exceptional analytics-driven management consulting services that empower clients globally to achieve their business goals and drive sustainable growth, by working alongside Oliver Wyman consulting teams. Purpose Our purpose is to bring together a diverse team of highest-quality talent, equipped with innovative analytical tools and techniques to deliver insights that drive meaningful impact for our global client base. We strive to build long-lasting partnerships with clients based on trust, mutual respect, and a commitment to deliver results. We aim to build a dynamic and inclusive organization that attracts and retains the top analytics talent in India and provides opportunities for professional growth and development. Our goal is to provide a sustainable work environment while fostering a culture of innovation and continuous learning for our team members. The Role and Responsibilities We are looking to hire an Associate Director in Data Science & Data Engineering Track. We seek individuals with relevant prior experience in quantitatively intense areas to join our team. Youll be working with varied and diverse teams to deliver unique and unprecedented solutions across all industries. In the data scientist track, you will be primarily responsible for managing and delivering analytics projects and helping teams design analytics solutions and models that consistently drive scalable high-quality solutions. In the data engineering track, you will be primarily responsible for developing and monitoring high-performance applications that can rapidly deploy latest machine learning frameworks and other advanced analytical techniques at scale. This role requires you to be a proactive learner and quickly pick up new technologies, whenever required. Most of the projects require handling big data, so you will be required to work on related technologies extensively. You will work closely with other team members to support project delivery and ensure client satisfaction. Your responsibilities will include Working alongside Oliver Wyman consulting teams and partners, engaging directly with global clients to understand their business challenges Exploring large-scale data and crafting models to answer core business problems Working with partners and principals to shape proposals that showcase our data science and analytics capabilities Explaining, refining, and crafting model insights and architecture to guide stakeholders through the journey of model building Advocating best practices in modelling and code hygiene Leading the development of proprietary statistical techniques, ML algorithms, assets, and analytical tools on varied projects Travelling to clients locations across the globe, when required, understanding their problems, and delivering appropriate solutions in collaboration with them Keeping up with emerging state-of-the-art modelling and data science techniques in your domain Your Attributes, Experience & Qualifications Bachelor's or Masters degree in a quantitative discipline from a top academic program (Data Science, Mathematics, Statistics, Computer Science, Informatics, and Engineering) Prior experience in data science, machine learning, and analytics Passion for problem-solving through big-data and analytics Pragmatic and methodical approach to solutions and delivery with a focus on impact Independent worker with the ability to manage workload and meet deadlines in a fast-paced environment Impactful presentation skills that succinctly and efficiently convey findings, results, strategic insights, and implications Excellent verbal and written communication skills and complete command of English Willingness to travel Collaborative team player Respect for confidentiality Technical Background (Data Science) Proficiency in modern programming languages (Python is mandatory; SQL, R, SAS desired) and machine learning frameworks (e.g., Scikit-Learn, TensorFlow, Keras/Theano, Torch, Caffe, MxNet) Prior experience in designing and deploying large-scale technical solutions leveraging analytics Solid foundational knowledge of the mathematical and statistical principles of data science Familiarity with cloud storage, handling big data, and computational frameworks Valued but not required : Compelling side projects or contributions to the Open-Source community Experience presenting at data science conferences and connections within the data science community Interest/background in Financial Services in particular, as well as other sectors where Oliver Wyman has a strategic presence Technical Background (Data Engineering) Prior experience in designing and deploying large-scale technical solutions Fluency in modern programming languages (Python is mandatory; R, SAS desired) Experience with AWS/Azure/Google Cloud, including familiarity with services such as S3, EC2, Lambda, Glue Strong SQL skills and experience with relational databases such as MySQL, PostgreSQL, or Oracle Experience with big data tools like Hadoop, Spark, Kafka Demonstrated knowledge of data structures and algorithms Familiarity with version control systems like GitHub or Bitbucket Familiarity with modern storage and computational frameworks Basic understanding of agile methodologies such as CI/CD, Applicant Resiliency, and Security Valued but not required Compelling side projects or contributions to the Open-Source community Prior experience with machine learning frameworks (e.g., Scikit-Learn, TensorFlow, Keras/Theano, Torch, Caffe, MxNet) Familiarity with containerization technologies, such as Docker and Kubernetes Experience with UI development using frameworks such as Angular, VUE, or React Experience with NoSQL databases such as MongoDB or Cassandra Experience presenting at data science conferences and connections within the data science community Interest/background in Financial Services in particular, as well as other sectors where Oliver Wyman has a strategic presence Interview Process The application process will include testing technical proficiency, case study, and team-fit interviews. Please include a brief note introducing yourself, what youre looking for when applying for the role, and your potential value-add to our team. Roles and levels In addition to the base salary, this position may be eligible for performance-based incentives. We offer a competitive total rewards package that includes comprehensive health and welfare benefits as well as employee assistance programs.

All Positions Assistant Manager- Data Science Noida | 7-10 years Apply Now Welcome to BUSINESSNEXT, where we believe in maximizing your true potential while doing something purposeful. Our commitment to innovation and forward-thinking is reflected in everything we do, and we're looking for like-minded individuals to join our team. If you're looking for a rewarding career in a company that values your creativity, we invite you to explore this opportunity. The Opportunity We are looking for a highly skilled and technically proficient AI Lead with 5-7 years of experience to lead our AI initiatives, with a specific focus on Generative AI, Natural Language Processing (NLP), and Machine Learning (ML). The ideal candidate should have hands-on experience in delivering and commercializing AI solutions, with deep expertise in Generative AI technologies and frameworks. An understanding of computer vision is a plus. This role requires both technical depth and leadership skills to drive AI innovation and deploy production-grade AI models. Objectives Aligned To This Role Fostering inventive concepts and effectively implementing strategic initiatives to attain significant outcomes in the realm of product development. Join our team of Engineers and be a part of our reforming BusinessNext Platform. Within this realm of cutting-edge technology, you'll play a pivotal role in shaping the future of digital innovation on a global scale. What would you do? Lead AI projects focused on Generative AI, NLP, and ML, ensuring successful deployment and commercialization of AI-driven solutions. Provide deep technical guidance and hands-on development expertise, specifically in Generative AI technologies (e.g., GANs, VAEs, Transformers). Design, build, and scale AI models across various domains, ensuring they meet business objectives and performance metrics. Collaborate with data scientists, machine learning engineers, and product teams to integrate AI models into production environments. Manage the end-to-end lifecycle of AI projects, from ideation, research, prototyping, and development to final product delivery and commercialisation. Stay current with the latest advancements in Generative AI and NLP, and proactively apply emerging trends and technologies to ongoing projects. Lead and mentor a team of AI engineers, fostering innovation and a results-driven approach. Drive the development of robust AI pipelines and solutions that are scalable, efficient, and aligned with business goals. Present technical and non-technical stakeholders with project progress, key findings, and commercial strategies. Ensure AI models are developed with strong considerations for performance, accuracy, scalability, and ethical AI practices. Required Skills 6-10 years of experience in AI/ML, with in-depth expertise in Generative AI and NLP technologies. Hands-on experience with Generative AI techniques such as GANs, VAEs, diffusion models, large language models (LLMs), Transformers, Agentic frameworks Proven track record of successfully commercialising multiple AI projects. Strong knowledge of ML algorithms, statistical models, and deep learning techniques. Experience in deploying AI models into production at scale, using cloud platforms like AWS, Azure, or GCP. Proficiency in AI/ML frameworks and tools such as TensorFlow, PyTorch, Keras, and Hugging Face. Good understanding of Computer Vision is a plus. Strong leadership and project management skills with the ability to manage multiple projects simultaneously. Ability to mentor and guide a technical team while also being hands-on with AI development tasks. Excellent problem-solving skills and a business-focused mindset for AI solution delivery. Educational Qualifications Engineering/ equivalent technical qualification from a reputed college/ university. Good understanding of current technology trends along with ultra-scalable systems. Proficient in effectively communicating with internal stakeholders across various domains, including technology and business. Meet The Team Connect with the team that loves the challenge of solving business problems, just like you! Ravi Kumar SVP - Datanext Why BusinessNext? WIIFM, you ask? 😊 Well, lots of real, get-your-hands-dirty gigs, building cool products for the BFSI industry that is rapidly digitizing. Expect a challenging work experience that you’re unlikely to get in a Services Company. Come, #Unlimit your true Potential today to be #UpForTomorrow We exist for growth and development: We’re a company that is built on a Coaching Culture, committed to supporting employees to reach their full potential, helping them achieve their professional goals while contributing to the Moonshot. We thrive on clear, lucid Objectives & Key Results (OKRs). A trusting, transparent relationship where an Individual’s OKRs, lock into the department’s which, in turn, lock into the Company’s! We thrive by being proactive: Our Brand tagline "Up For Tomorrow" implies being proactive and forward-thinking, and our Culture Philosophy of "Unlimit" speaks of having no limits on what one can achieve. You can expect a culture that will constantly encourage you to take initiative and be proactive in your career, taking charge of your own professional development. Caring for People is our Business, and a Values-led Culture is our Profit. We just happen to use tech in the process. We’re a bunch of friends with Benefits: Coaching Sessions, Training and development opportunities, flexible working hours, and remote work options are just some of the perks of this Culture. Designed around you the employee so you can take advantage of opportunities to grow and develop and be ready for the future. Some quick facts Ours is an inspiring Garage-to-Unicorn Product story that has been scripted by gifted technologists who’re just like you. We are among the fastest growing SaaS companies in India, especially in the BFSI industry, with a global footprint, serving over 1 million+ users across 50+ countries Our clientele is based out in Asia Pac, USA, Middle East, South Africa, Australia, etc. Our product engages millions of global users, and we keep adding millions every month We are on a mission We sure are - on an 8-year Moon-shot Mission to be specific. We want to accelerate the World’s transition to intuitive, digital, and joyful financial experiences and become a Decacorn in the process. Does this excite you, then join us! 😊 Apply Now

All Positions Lead - Data Science Noida | 5-7 years Apply Now Welcome to BUSINESSNEXT, where we believe in maximizing your true potential while doing something purposeful. Our commitment to innovation and forward-thinking is reflected in everything we do, and we're looking for like-minded individuals to join our team. If you're looking for a rewarding career in a company that values your creativity, we invite you to explore this opportunity. The Opportunity We are looking for a highly skilled and technically proficient AI Lead with 5-7 years of experience to lead our AI initiatives, with a specific focus on Generative AI, Natural Language Processing (NLP), and Machine Learning (ML). The ideal candidate should have hands-on experience in delivering and commercializing AI solutions, with deep expertise in Generative AI technologies and frameworks. An understanding of computer vision is a plus. This role requires both technical depth and leadership skills to drive AI innovation and deploy production-grade AI models. Objectives Aligned To This Role Fostering inventive concepts and effectively implementing strategic initiatives to attain significant outcomes in the realm of product development. Join our team of Engineers and be a part of our reforming BusinessNext Platform. Within this realm of cutting-edge technology, you'll play a pivotal role in shaping the future of digital innovation on a global scale. What would you do? Lead AI projects focused on Generative AI, NLP, and ML, ensuring successful deployment and commercialization of AI-driven solutions. Provide deep technical guidance and hands-on development expertise, specifically in Generative AI technologies (e.g., GANs, VAEs, Transformers). Design, build, and scale AI models across various domains, ensuring they meet business objectives and performance metrics. Collaborate with data scientists, machine learning engineers, and product teams to integrate AI models into production environments. Manage the end-to-end lifecycle of AI projects, from ideation, research, prototyping, and development to final product delivery and commercialisation. Stay current with the latest advancements in Generative AI and NLP, and proactively apply emerging trends and technologies to ongoing projects. Lead and mentor a team of AI engineers, fostering innovation and a results-driven approach. Drive the development of robust AI pipelines and solutions that are scalable, efficient, and aligned with business goals. Present technical and non-technical stakeholders with project progress, key findings, and commercial strategies. Ensure AI models are developed with strong considerations for performance, accuracy, scalability, and ethical AI practices. Required Skills 5-7 years of experience in AI/ML, with in-depth expertise in Generative AI and NLP technologies. Hands-on experience with Generative AI techniques such as GANs, VAEs, diffusion models, large language models (LLMs), Transformers, Agentic frameworks Proven track record of successfully commercialising multiple AI projects. Strong knowledge of ML algorithms, statistical models, and deep learning techniques. Experience in deploying AI models into production at scale, using cloud platforms like AWS, Azure, or GCP. Proficiency in AI/ML frameworks and tools such as TensorFlow, PyTorch, Keras, and Hugging Face. Good understanding of Computer Vision is a plus. Strong leadership and project management skills with the ability to manage multiple projects simultaneously. Ability to mentor and guide a technical team while also being hands-on with AI development tasks. Excellent problem-solving skills and a business-focused mindset for AI solution delivery. Educational Qualifications Engineering/ equivalent technical qualification from a reputed college/ university. Good understanding of current technology trends along with ultra-scalable systems. Proficient in effectively communicating with internal stakeholders across various domains, including technology and business. Meet The Team Connect with the team that loves the challenge of solving business problems, just like you! Ravi Kumar SVP - Datanext Why BusinessNext? WIIFM, you ask? 😊 Well, lots of real, get-your-hands-dirty gigs, building cool products for the BFSI industry that is rapidly digitizing. Expect a challenging work experience that you’re unlikely to get in a Services Company. Come, #Unlimit your true Potential today to be #UpForTomorrow We exist for growth and development: We’re a company that is built on a Coaching Culture, committed to supporting employees to reach their full potential, helping them achieve their professional goals while contributing to the Moonshot. We thrive on clear, lucid Objectives & Key Results (OKRs). A trusting, transparent relationship where an Individual’s OKRs, lock into the department’s which, in turn, lock into the Company’s! We thrive by being proactive: Our Brand tagline "Up For Tomorrow" implies being proactive and forward-thinking, and our Culture Philosophy of "Unlimit" speaks of having no limits on what one can achieve. You can expect a culture that will constantly encourage you to take initiative and be proactive in your career, taking charge of your own professional development. Caring for People is our Business, and a Values-led Culture is our Profit. We just happen to use tech in the process. We’re a bunch of friends with Benefits: Coaching Sessions, Training and development opportunities, flexible working hours, and remote work options are just some of the perks of this Culture. Designed around you the employee so you can take advantage of opportunities to grow and develop and be ready for the future. Some quick facts Ours is an inspiring Garage-to-Unicorn Product story that has been scripted by gifted technologists who’re just like you. We are among the fastest growing SaaS companies in India, especially in the BFSI industry, with a global footprint, serving over 1 million+ users across 50+ countries Our clientele is based out in Asia Pac, USA, Middle East, South Africa, Australia, etc. Our product engages millions of global users, and we keep adding millions every month We are on a mission We sure are - on an 8-year Moon-shot Mission to be specific. We want to accelerate the World’s transition to intuitive, digital, and joyful financial experiences and become a Decacorn in the process. Does this excite you, then join us! 😊 Apply Now

About the role: We are seeking a highly skilled Domain Expert in Condition Monitoring to join our team and play a pivotal role in advancing predictive maintenance strategies for electrical equipment. This position focuses on leveraging cutting-edge machine learning and data analytics techniques to design and implement scalable solutions that optimize maintenance processes, enhance equipment reliability, and support operational efficiency. As part of this role, you will apply your expertise in predictive modeling, supervised and unsupervised learning, and advanced data analysis to uncover actionable insights from high-dimensional datasets. You will collaborate with cross-functional teams to translate business requirements into data-driven solutions that surpass customer expectations. If you have a passion for innovation and sustainability in the industrial domain, this is an opportunity to make a meaningful impact. Key Responsibilities: Develop and implement predictive maintenance models using a variety of supervised and unsupervised learning techniques. Analyze high-dimensional datasets to identify patterns and correlations that can inform maintenance strategies. Utilize linear methods for regression and classification, as well as advanced techniques such as splines, wavelets, and kernel methods. Conduct model assessment and selection, focusing on bias, variance, overfitting, and cross-validation. Apply ensemble learning techniques, including Random Forest and Boosting, to improve model accuracy and robustness. Implement structured methods for supervised learning, including additive models, trees, neural networks, and support vector machines. Explore unsupervised learning methods such as cluster analysis, principal component analysis, and self-organizing maps to uncover insights from data. Engage in directed and undirected graph modeling to represent and analyze complex relationships within the data. Collaborate with cross-functional teams to translate business requirements into data-driven solutions. Communicate findings and insights to stakeholders, providing actionable recommendations for maintenance optimization. Mandatory : Masters degree or Ph.D. in Data Science, Statistics, Computer Science, Engineering, or a related field. Proven experience in predictive modeling and machine learning, particularly in the context of predictive maintenance. Strong programming skills in languages such as Python, R, or similar, with experience in relevant libraries (e.g., scikit-learn, TensorFlow, Keras). Familiarity with data visualization tools and techniques to effectively communicate complex data insights. Experience with big data technologies and frameworks (e.g., Hadoop, Spark) is a plus. Excellent problem-solving skills and the ability to work independently as well as part of a team. Strong communication skills, with the ability to convey technical concepts to non-technical stakeholders. Good to Have: Experience in Industrial software & Enterprise solutions Preferred Skills & Attributes: Strong understanding of modern software architectures and DevOps principles. Ability to analyze complex problems and develop effective solutions. Excellent communication and teamwork skills, with experience in cross-functional collaboration. Self-motivated and capable of working independently on complex projects. About the Team Become a part of our mission for sustainabilityclean energy for generations to come. We are a global team of diverse colleagues who share a passion for renewable energy and have a culture of trust and empowerment to make our own ideas a reality. We focus on personal and professional development to grow internally within our organization. Who is Siemens Energy At Siemens Energy, we are more than just an energy technology company. We meet the growing energy demand across 90+ countries while ensuring our climate is protected. With more than 96,000 dedicated employees, we not only generate electricity for over 16% of the global community, but were also using our technology to help protect people and the environment. Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonization, new technologies, and energy transformation.

Increasing digitalization and flexibility of production processes presents outstanding potential. In Digital Industries, we enable our customers to unlock their full potential and drive digital transformation with a unique portfolio of automation and digitalization technologies. From hardware to software to services, weve got quite a lot to offer. How about you We blur the boundaries between industry domains by integrating the virtual and physical, hardware and software, design and manufacturing worlds. With the rapid pace of innovation, digitalization is no longer tomorrows idea. We take what the future promises tomorrow and make it real for our customers today. Join us - where your career meets tomorrow. Siemens EDA is a global technology leader in Electronic Design Automation software. Our software tools enable companies around the world to develop highly innovative electronic products faster and more efficiently. Our customers use our tools to push the boundaries of technology and physics to deliver better products in the increasingly complex world of chip, board, and system design. Questa Simulation Product It is a core R&D team working on multiple verticals of Simulation. A very energetic and enthusiastic team of motivated individuals. This role is based in Noida. But youll also get to visit other locations in India and globe, so youll need to go where this job takes you. In return, youll get the chance to work with teams impacting entire cities, countries, and the shape of things to come. Responsibilities: We are looking for a highly motivated software engineer to work in the QuestaSim R&D team of the Siemens EDA Development responsibilities will include core algorithmic advances and software design/architecture. You will collaborate with a senior group of software engineers contributing to final production level quality of new components and algorithms and to create new engines and support existent code. Self-motivation, self-discipline and the ability to set personal goals and work consistently towards them in a dynamic environment will go far towards chipping in to your success. We Are Not Looking for Superheroes, Just Super Minds! Weve got quite a lot to offer. How about you Required Experience: We seek a graduate with at least 5+ years of relevant working experience with B.Tech or M.Tech in CSE/EE/ECE from a reputed engineering college. Proficiency of C/C++, algorithm and data structures. Compiler Concepts and Optimizations. Experience with UNIX and / or LINUX platforms is vital. Basic Digital Electronics Concepts We value your knowledge of Verilog, System Verilog, VHDL Experience in parallel algorithms, job distribution. Understanding of ML/AI algorithms and their implementation in data-driven tasks Exposure to Simulation or Formal based verification methodologies would be a plus! The person should be self-motivated and can work independently. Should be able to guide others, towards project completion. Good problem solving and analytical skills A collection of over 377,000 minds building the future, one day at a time in over 200 countries. All employment decisions at Siemens are based on qualifications, merit and business need. Bring your curiosity and creativity and help us shape tomorrow! #LI-EDA #LI-HYBRID #DVT

Overview The Gen AI engineer will be part of a team which designs, builds, and operates the AI services of Siemens Healthineers (SHS). The ideal candidate for this role will have experience with AI services. The role will require the candidate to develop and maintain artificial intelligence systems and applications that help businesses and organizations solve complex problems. The role also requires expertise in machine learning, deep learning, natural language processing, computer vision, and other AI technologies. Task and Responsibilities Generative AI Engineer is responsible for designing, architecting, and development of AI product/service. The main responsibilities include Designing, developing, and deploying Azure-based AI solutions, including machine learning models, cognitive services, and data analytics solutions. Collaborating with cross-functional teams, such as data scientists, business analysts, and developers, to design and implement AI solutions that meet business requirements. Building and training machine learning models using Azure Machine Learning, and tuning models for optimal performance. Developing and deploying custom AI models using Azure Cognitive Services, such as speech recognition, language understanding, and computer vision. Creating data pipelines to collect, process, and prepare data for analysis and modeling using Azure data services, such as Azure Data Factory and Azure Databricks. Implementing data analytics solutions using Azure Synapse Analytics or other Azure data services. Deploying and managing Azure services and resources using Azure DevOps or other deployment tools. Monitoring and troubleshooting deployed solutions to ensure optimal performance and reliability. Ensuring compliance with security and regulatory requirements related to AI solutions. Staying up-to-date with the latest Azure AI technologies and industry developments, and sharing knowledge and best practices with the team. Qualifications Overall 5+ years combined experience in IT and recent 3 years as AI engineer. Bachelor's or master's degree in computer science, information technology, or a related field. Experience in designing, developing, and delivering successful AI Services. Experience with cloud computing technologies, such Azure. Relevant industry certifications, such as Microsoft CertifiedAzure AI Engineer, Azure Solution Architect etc. is a plus. Excellent written and verbal communication skills to collaborate with cross-functional teams and communicate technical information to non-technical stakeholders. Technical skills Proficiency in programming languagesYou should be proficient in programming language such as Python and R. Experience of Azure AI servicesYou should have experience with Azure AI services such as Azure Machine Learning, Azure Cognitive Services, and Azure Databricks. Data handling and processingYou should be proficient in data handling and processing techniques such as data cleaning, data normalization, and feature extraction. Knowledge of SQL, NoSQL, and big data technologies such as Hadoop and Spark are also beneficial. Experience with Cloud platformYou should have a good understanding of cloud computing concepts and experience working with Azure services such as containers, Kubernetes, Web Apps, Azure Front Door, CDN, Web Application firewalls etc. DevOps and CI/CDYou should be familiar with DevOps practices and CI/CD pipelines. This includes tools such as Azure DevOps & Git. Security and complianceYou should be aware of security and compliance considerations when building and deploying AI models in the cloud. This includes knowledge of Azure security services, compliance frameworks such as HIPAA and GDPR, and best practices for securing data and applications in the cloud. Machine learning algorithms and frameworksKnowledge of machine learning algorithms and frameworks such as TensorFlow, Keras, PyTorch, and Scikit-learn is a plus.

Position Summary ASolution Engineer specializing inpower system simulation using AIdesigns advanced solutions to model, analyze, and optimize energy systems. They leverage AI and machine learning to simulate grid behavior, predict energy demand, and enhance system reliability, efficiency, and sustainability. How Youll Make an Impact (responsibilities of role) Design AI-driven simulation models for power systems (grid operations, load forecasting, renewable integration). Implement machine learning algorithms for predictive maintenance and fault detection. Integrate AI tools with power system software (e.g., PSS/E, DIgSILENT PowerFactory). Optimize energy distribution and grid performance using real-time data and AI analytics. Ensure compliance with industry standards and cybersecurity protocols. What You Bring (required qualifications and skills) EducationBachelors/Masters in Electrical Engineering, Computer Science, or related fields. CertificationsAI/ML certifications (e.g., TensorFlow Developer), energy-specific certifications. Experience5+ years in power systems and AI-driven simulation projects. Expertise in power system simulation tools (PSS/E, PowerFactory, MATLAB/Simulink). Proficiency in AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn). Knowledge of energy systems, grid modeling, and renewable energy integration. Strong problem-solving and communication skills. Excellent communication skills, with the ability to convey complex concepts to non-technical stakeholders. The ability to work collaboratively in a dynamic team environment across the globe.

Increasing digitalization and flexibility of production processes presents outstanding potential. In Digital Industries, we enable our customers to unlock their full potential and drive digital transformation with a unique portfolio of automation and digitalization technologies. From hardware to software to services, weve got quite a lot to offer. How about you We blur the boundaries between industry domains by integrating the virtual and physical, hardware and software, design and manufacturing worlds. With the rapid pace of innovation, digitalization is no longer tomorrows idea. We take what the future promises tomorrow and make it real for our customers today. Join us - where your career meets tomorrow. Siemens EDA is a global technology leader in Electronic Design Automation software. Our software tools enable companies around the world to develop highly innovative electronic products faster and more efficiently. Our customers use our tools to push the boundaries of technology and physics to deliver better products in the increasingly complex world of chip, board, and system design. Questa Simulation Product It is a core R&D team working on multiple verticals of Simulation. A very energetic and enthusiastic team of motivated individuals. This role is based in Noida. But youll also get to visit other locations in India and globe, so youll need to go where this job takes you. In return, youll get the chance to work with teams impacting entire cities, countries, and the shape of things to come. Responsibilities: We are looking for a highly motivated software engineer to work in the QuestaSim R&D team of the Siemens EDA Development responsibilities will include core algorithmic advances and software design/architecture. You will collaborate with a senior group of software engineers contributing to final production level quality of new components and algorithms and to create new engines and support existent code. Self-motivation, self-discipline and the ability to set personal goals and work consistently towards them in a dynamic environment will go far towards chipping in to your success. We Are Not Looking for Superheroes, Just Super Minds! Weve got quite a lot to offer. How about you Required Experience: We seek a graduate with at least 5+ years of relevant working experience with B.Tech or M.Tech in CSE/EE/ECE from a reputed engineering college. Proficiency of C/C++, algorithm and data structures. Compiler Concepts and Optimizations. Experience with UNIX and / or LINUX platforms is vital. Basic Digital Electronics Concepts We value your knowledge of Verilog, System Verilog, VHDL Experience in parallel algorithms, job distribution. Understanding of ML/AI algorithms and their implementation in data-driven tasks Exposure to Simulation or Formal based verification methodologies would be a plus! The person should be self-motivated and can work independently. Should be able to guide others, towards project completion. Good problem solving and analytical skills A collection of over 377,000 minds building the future, one day at a time in over 200 countries. All employment decisions at Siemens are based on qualifications, merit and business need. Bring your curiosity and creativity and help us shape tomorrow! #LI-EDA #LI-HYBRID #DVT

Dear Aspirant! We empower our people to stay resilient and relevant in a constantly changing world. Were looking for people who are always searching for creative ways to grow and learn. People who want to make a real impact, now and in the future. Does that sound like youThen it seems like youd make a great addition to our vibrant international team. We are looking for Lead Software Engineer (AI ML Engineer) , Youll make an impact by Data Management and Integration Implement robust solutions for data storage and processing. Integrate AI solutions seamlessly into existing business processes. Build and maintain data pipelines for preprocessing, cleaning, and transforming data for AI applications. AI Model Development and Deployment Develop and deploy AI/ML models for applications such as predictive analytics, computer vision, NLP, and automation. Apply cloud hosting, edge devices, or hybrid solutions effectively. Design and optimize deep learning architectures using frameworks like TensorFlow, PyTorch, or Keras. Train, fine-tune, and evaluate machine learning models to enhance accuracy and performance. Compliance and EthicsEnsure compliance with legal and regulatory requirements, and maintain fairness, transparency, and unbiased AI solutions. Ensure AI models are scalable, efficient, and adhere to ethical AI principles. Collaboration and Innovation Collaborate with software engineers to integrate AI models into production systems. Research and implement advanced AI technologies to improve business processes. Monitor and maintain AI systems, troubleshoot issues, and optimize model performance. Document AI workflows, processes, and standard methodologies for internal knowledge sharing. Use your skills to move the world forward! Degree in Artificial Intelligence, Data Science, or a related field. 6-10 Years of experience. Strong understanding of data management and infrastructure. Experience in deployment strategies and integration. Proficiency in AI/ML development and deployment. Strong programming skills in Python (preferred) or another AI-focused language. Experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.). Knowledge of cloud platforms (AWS, Azure, GCP) for AI deployment. Familiarity with MLOps, model versioning, and deployment best practices. Experience working with large datasets and data engineering techniques. Strong problem-solving skills and the ability to work independently or collaboratively Advanced AI TechniquesExperience with reinforcement learning or generative AI models. Experience with Siemens AI Platform. Hands-on experience with AI-powered automation and decision-making systems. Knowledge of edge AI and deploying AI models on embedded systems. Create a better #TomorrowWithUs! This role is based in Chennai, where youll get the chance to work with teams impacting entire cities, countries - and the shape of things to come. Were Siemens. A collection of over 312,000 minds building the future, one day at a time in over 200 countries. All employment decisions at Siemens are based on qualifications, merit and business need. Bring your curiosity and imagination and help us shape tomorrow. Find out more about Siemens careers at Find out more about the Digital world of Siemens here /digitalminds

We are seeking a passionate and innovative AI/Machine Learning Engineer to join our IT organization as part of a dynamic cross-functional team. In this role, you will develop, train, tune, and optimize machine learning models, deploy them into production, and ensure their scalability. You will also develop applications that integrate AI models into existing products or create new AI-powered solutions to enhance the capabilities and efficiency of our Marketing, Sales, and Communications teams. Key Responsibilities: Machine Learning Model Development and Integration: Build end-to-end machine learning pipelines, from data ingestion to deployment. Design, train, and evaluate ML models, including custom models and AutoML / pycaret /ML Flow solutions. Implement CI/CD processes for model deployment and continuously monitor model performance. Develop and deploy machine learning models to address specific challenges within the Marketing, Sales, and Communications domains. Work with large and complex data sets to build models that enhance decision-making, customer segmentation, predictive analytics, and personalization efforts. Seamlessly integrate ML models into existing API-based systems to ensure efficient consumption by business applications. Performance Monitoring and Optimization: Continuously monitor the performance of machine learning models in production environments. Refine and optimize models based on performance data and evolving business needs. Explore new tools, techniques, and data sources to enhance the capabilities of ML models within the business context. Collaboration and Stakeholder Engagement: Collaborate with the data team to define data requirements for model training and evaluation. Work closely with developer teams to provide guidance on API architecture development, ensuring alignment with ML strategy. Partner with API developers to design and implement APIs that provide access to machine learning insights. Engage with business teams to understand their needs and deliver ML solutions that add tangible value. Communicate complex ML concepts and the benefits of ML projects to non-technical stakeholders effectively. Required Qualifications: Bachelor's or masters degree in computer science, Data Science, Engineering, or a related field, with 5"“6 years of IT experience, including a minimum of 3"“4 years of relevant experience as ML AI Developer. Design, develop, and implement advanced machine learning and statistical models to solve complex business problems. Explore and utilize various data mining and machine learning techniques to extract valuable insights and patterns from large datasets. Conduct exploratory data analysis, data cleansing, and feature engineering to prepare datasets for analysis. Perform statistical analysis, hypothesis testing, and A/B testing to evaluate the effectiveness of models and algorithms. Should understand Dockerization, Kubernetes and REST APIs Proficiency in full-stack development, API integration, and cloud-native development. Strong knowledge of machine learning algorithms, statistics, and model optimization. Familiarity with LLM/ SLM, MLOps tools (e. g. , Azure ML, Databricks, Kubeflow, MLflow). Expertise in model deployment frameworks (e. g. , TensorFlow, PyTorch, Pycaret) and DevOps for AI. Proficiency in programming languages such as Python or R. Experience with API development and integration (preferably Azure API) Understanding Hierarchical multi agent structure, RAG , LLM evaluation framework Proficiency in visualizing data storylines and conducting in-depth data analysis with frameworks (e.g. Plotly, dash) Good to Have Experience in developing ML solutions for marketing, sales, or communications. Knowledge of cloud services (AWS, Azure, Google Cloud) and their machine learning offerings. Demonstrated ability to work in cross-functional teams and manage projects. Familiarity with agile development methodologies. Youll win us over by 3+ years of experience in Artificial Intelligence domain with a proven track record of developing and implementing various ML based solutions. B. Tech or masters in data science, Computer Science, Statistics or a related field Strong programming skills in languages such as Python, R, or C++. Should be familiar libraries and concepts such as Tensorflow , Pytorch, Keras, Sklearn, pycaret, Statmodels, Pandas, Numpy, Scipy, SQL, HQL or similar. Proficient in the use of NLP/Analytics tools Proactive and willing to learn new technologies. Excellent verbal, written and presentation skills.

Educational Bachelor of Engineering Service Line AI & Automation Service Line Responsibilities A day in the life of an Infoscion As part of the Infosys consulting team, your primary role would be to get to the heart of customer issues, diagnose problem areas, design innovative solutions and facilitate deployment resulting in client delight. You will develop a proposal by owning parts of the proposal document and by giving inputs in solution design based on areas of expertise. You will plan the activities of configuration, configure the product as per the design, conduct conference room pilots and will assist in resolving any queries related to requirements and solution design You will conduct solution/product demonstrations, POC/Proof of Technology workshops and prepare effort estimates which suit the customer budgetary requirements and are in line with organization’s financial guidelines Actively lead small projects and contribute to unit-level and organizational initiatives with an objective of providing high quality value adding solutions to customers. If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you! Additional Responsibilities: Ability to develop value-creating strategies and models that enable clients to innovate, drive growth and increase their business profitability Good knowledge on software configuration management systems Awareness of latest technologies and Industry trends Technical and Professional : Primary skills:Technology-Artificial Intelligence-Computer Vision,Technology-Big Data-Natural language processing(NLP),Technology-Machine Learning-Python Preferred Skills: Technology-Big Data-Natural language processing(NLP) Technology-Machine Learning-Python Technology-Artificial Intelligence-Computer Vision Technology-Machine Learning-Generative AI

Educational Bachelor of Engineering,Bachelor Of Technology,Bachelor Of Science,Bachelor Of Comp. Applications,Master Of Technology,Master Of Engineering,Master Of Comp. Applications,Master Of Science Service Line Engineering Services Responsibilities Evaluate the performance of machine learning models and refine them to improve accuracy andgeneralizability. Communicate data insights to stakeholders in a clear and concise manner, using data visualization techniques and storytelling. collaborate with data engineers, software developers, and business stakeholders to integrate data science solutions into products and services. Stay up-to-date with the latest trends and developments in data science, machine learning, and artificial intelligence. Additional Responsibilities: GExperience with Natural Language Processing (NLP) and Computer Vision (CV) techniques. Knowledge of DevOps methodologies and practices for continuous integration/continuous delivery (CI/CD). Experience with data warehousing and data lakes solutions like BigQuery or Snowflake. Familiarity with real-time data processing and streaming analytics. Passion for learning and staying at the forefront of data science and machine learning advancements. Technical and Professional : Master's degree in Computer Science, Statistics, Mathematics, or a related field. 7+ years of experience in data science and machine learning with a strong focus on model development and deployment. Expert-level knowledge of statistics, including probability theory, hypothesis testing, and statistical inference. In-depth knowledge of machine learning algorithms, including linear regression, logistic regression, decision trees, random forests, xgboost, and ensemble learning. Strong programming skills in Python and proficiency in data science libraries like pandas, scikit-learn, numpy, Pytorch/Keras, and TensorFlow. Experience with cloud computing platforms, particularly Google Cloud Platform (GCP). Excellent data visualization skills using tools like matplotlib, seaborn, or Tableau. Strong communication and presentation skills, both written and verbal. Preferred Skills: Technology-Analytics - Techniques-Cluster Analysis Technology-Analytics - Techniques-Decision Trees Technology-Analytics - Techniques-Linear Regression Technology-Machine Learning-Python

Educational Bachelor of Engineering Service Line AI & Automation Service Line Responsibilities Technical skills ProgrammingPython, R, SQL ML algorithms Statistical ML algorithms Deep Neural Network architectures Model ensembling Generative AI models ML for Responsible AI AI domains - NLP, speech, computer vision, structured data Learning patterns – supervised, unsupervised, reinforcement learning Tools for data analysis, auto ML, model deployment & scaling, model fine tuning Knowledge of different Model fine tuning approaches for Large models Knowledge of datasets, pre-built models available in open community and 3rd party providers Knowledge of software development & architectures Knowledge of hyperscalers & their AI capabilities – Azure, AWS, GCP Knowledge of Model Quantization and Pruning Past experience playing a Data Scientist role Technical and Professional : Technical skills ProgrammingPython, R, SQL ML algorithms Statistical ML algorithms Deep Neural Network architectures Model ensembling Generative AI models ML for Responsible AI AI domains - NLP, speech, computer vision, structured data Learning patterns – supervised, unsupervised, reinforcement learning Tools for data analysis, auto ML, model deployment & scaling, model fine tuning Knowledge of different Model fine tuning approaches for Large models Knowledge of datasets, pre-built models available in open community and 3rd party providers Knowledge of software development & architectures Knowledge of hyperscalers & their AI capabilities – Azure, AWS, GCP Knowledge of Model Quantization and Pruning Past experience playing a Data Scientist role Preferred Skills: Technology-Machine learning-data science Technology-Machine Learning-Python Technology-Machine Learning-Generative AI

AIML Lead/ ArchitectJDDesign, develop, and deploy machine learning models and algorithms using Python. Develop natural language processing (NLP) applications for text analysis and understanding. Utilize analytics workbench tools to create and manage data pipelines and workflows. Collaborate with data scientists, software engineers, and other stakeholders to understand project requirements and deliver effective solutions. Conduct research and stay updated with the latest advancements in AI and ML technologies. Ensure the scalability and performance of AI/ML solutions through rigorous testing and optimization. : Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Proven experience as an AI/ML Engineer or similar role. Strong proficiency in Python and its libraries (e.g., TensorFlow, PyTorch, scikit-learn). Experience with NLP frameworks and libraries (e.g., NLTK, spaCy, Transformers). Familiarity with analytics workbench tools and data pipeline management. Excellent problem-solving skills and attention to detail. Strong communication and teamwork abilities. Preferred Qualifications: Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) for deploying AI/ML solutions. Knowledge of Gen AI/ LLMs Preferrable. Certification in AI/ML or related technologies.

P1,C2,STS 6+years of Strong hands-on experience in Machine Learning. Experience in Python coding, Data pre-processing , Data Modelling Good experience in Cloud Platfom, Kuberenetes Experience in SQL queries, Snowflake Should be able to perform an Individual role. skills Machine Learning Data Modelling and Analysis SQL Kubernetes

Responsible for designing and delivering AI/ML use cases aligned with business needs and extracting actionable insights. EducationBachelors in Data Science, Business Analytics, or related field Skills: Python, Power BI, Azure ML, Databricks Integrations/GenAICollaboration on LLM use cases and prompt design Collaboration ToolsAzure DevOps, Confluence

CREQ224603

AIML Lead/ ArchitectJDDesign, develop, and deploy machine learning models and algorithms using Python. Develop natural language processing (NLP) applications for text analysis and understanding. Utilize analytics workbench tools to create and manage data pipelines and workflows. Collaborate with data scientists, software engineers, and other stakeholders to understand project requirements and deliver effective solutions. Conduct research and stay updated with the latest advancements in AI and ML technologies. Ensure the scalability and performance of AI/ML solutions through rigorous testing and optimization. : Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Proven experience as an AI/ML Engineer or similar role. Strong proficiency in Python and its libraries (e.g., TensorFlow, PyTorch, scikit-learn). Experience with NLP frameworks and libraries (e.g., NLTK, spaCy, Transformers). Familiarity with analytics workbench tools and data pipeline management. Excellent problem-solving skills and attention to detail. Strong communication and teamwork abilities. Preferred Qualifications: Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) for deploying AI/ML solutions. Knowledge of Gen AI/ LLMs Preferrable. Certification in AI/ML or related technologies.

Research Scientist position at IBM India Research Lab is a challenging, dynamic and highly innovative role, where you will be responsible for coming up with new innovative ideas, developing solutions working as a team, building prototypes, publishing research papers and demonstrating the value of your ideas in an enterprise setting. Some of our current areas of work where we are actively looking for top researchers are: Optimized runtime stacks for foundation model workloads including fine-tuning, inference serving and large-scale data engineering, with a focus on multi-stage tuning including reinforcement learning, inference-time compute, and data preparation needs for complex AI systems. Optimizing models to run on multiple accelerators including IBM’s AIU accelerator leveraging compiler optimizations, specialized kernels, libraries and tools. Innovative use cases that effectively leverage the infrastructure and models to deliver value Pre-training language and multi-modal foundation models working with large scale distributed training procedures, model alignment, and creating specialized pipelines for various tasks including effective LLM-generated data pipelines. Required education Bachelor's Degree Required technical and professional expertise You should have one or more of the following: A master’s degree in computer science, AI or related fields from a top institution 0-8 years of experience working with modern ML techniques including but not limited to model architectures, data processing, fine-tuning techniques, reinforcement learning, distributed training, inference optimizations Experience with big data platforms like Ray and Spark Experience working with Pytorch FSDP and HuggingFace libraries Programming experience in one of the followingPython, web development technologies Growth mindset and a pragmatic attitude Preferred technical and professional experience Peer-reviewed research at top machine learning or systems conferences Experience working with pytorch.compile, CUDA, triton kernels, GPU scheduling, memory management Experience working with open-source communities

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Computer Vision Good to have skills : NAMinimum 15 year(s) of experience is required Educational Qualification : 15 years full time education Summary :Accenture Center for Advance AI (CAAI) focuses on building scalable enterprise AI and Gen AI based solutions for various industries such as - Financial Services, Utilities, Energy, Manufacturing, Retail, Communications, Heath & Public Services, and Products. The Applied AI Research and Innovation Group, within CAAI, is focusing on foundational and applied research in the various fields of AI Gen AI, Model building/training/finetuning, Agentic AI, etc. to develops offerings which can be utilized for complex and challenging client delivery projects. We are hiring an AI Research and Innovation Sr. Principal to focus on model refinement, including fine-tuning, alignment, safety, and evaluation of AI models. This role is critical for ensuring our models are robust, responsible, and aligned with human values. Roles & Responsibilities:- Lead efforts in supervised fine-tuning, reinforcement learning from human feedback (RLHF), and instruction tuning. Innovate on techniques for continual learning and domain adaptation.-- Understand LLM fine tuning techniques such as PEFT, LoRA, QLoRA etc-- Develop evaluation frameworks for model safety, bias, and performance.- Collaborate with multiple stakeholders like policy and Responsible AI teams to ensure responsible AI practices, consulting team to provide technical depth in AI, studio team to position our findings for client pitches, business team to arrive at a research roadmap, academia and industry partners for pushing the research boundaries.- Publish and present novel and innovative research findings in top AI venues.- Develop an internal AI talent and foster a culture of continuous learning across practice and organization. Mentor a team of researchers and engineers.- Support client engagements by providing consulting and solutioning for complex client problems by brining in niche AI skills and utilizing advanced internal and external frameworks and accelerators. Professional & Technical Skills: - A Ph.D. in Computer Science, Electrical Engineering, Electronics, Electronics and Communication, Data Science/AI, Mathematics and Statistics from premium institutes IITs, IISc, IIIT and ISI- Overall experience 10-12 years and Relevant experience (post PhD) 5+ years.- Experience with evaluation metrics and safety benchmarks.- Familiarity with human-in-the-loop systems and feedback collection.- Multi Modal AI Model Building and Fine tuning- Proven track record of innovation and publications. Additional Information:- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

P1,C3,TSTS Experience Over 1 years of experience in designing and developing conversational AI solutions using Kore.ai, with expertise in creating chatbot and IVR flows. Actively engaged in developing Proof of Concepts (POCs) and regularly providing status updates to clients. Technical Skills Proficient in developing conversational AI solutions using Kore.ai, with strong experience in designing, implementing, and maintaining chatbot and IVR conversation flows. Skilled in debugging conversational logic and optimizing user interactions. Familiar with Agile methodologies and effective in collaborative, cross-functional team environments. Good to Have Skills Good understanding of IVR and chatbot design, conversation flow , NLP tuning, and user experience best practices. Experience with IVR testing tools such as Cyara. Understanding of prompt engineering techniques for improving responses from conversational AI models. Experienced in working any of the databases like Oracle / SQL etc

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Computer Vision Good to have skills : NAMinimum 18 year(s) of experience is required Educational Qualification : 15 years full time education Summary :Accenture Center for Advance AI (CAAI) focuses on building scalable enterprise AI and Gen AI based solutions for various industries such as - Financial Services, Utilities, Energy, Manufacturing, Retail, Communications, Heath & Public Services, and Products. The Applied AI Research and Innovation Group, within CAAI, is focusing on foundational and applied research in the various fields of AI Gen AI, Model building/training/finetuning, Agentic AI, etc. to develops offerings which can be utilized for complex and challenging client delivery projects.AI Research and Innovation Lead Agentic AI (Experienced PhDs from Premium Institutes) - We are seeking a visionary AI Research and Innovation Lead to spearhead our efforts inAgentic AIdeveloping autonomous, goal-driven AI systems capable of reasoning, planning, and interacting in complex environments. This role is ideal for a thought leader passionate about pushing the boundaries of intelligent agents. Roles & Responsibilities:-Lead R&D in agentic architectures, autonomous agents, including planning, memory, tool use, and self-reflection, human agent collaboration, model/agent drift detection.-Design and prototype autonomous agents for real-world applications (e.g., enterprise automation, digital assistants, healthcare autonomous agents).-Collaborate with solutioning, delivery and engineering teams to integrate agentic capabilities into scalable systems across various industries, collaborate with Responsible AI team to ensure the polices are baked in the solutions, consulting team to provide technical depth in AI, academia and industry partners for pushing the research boundaries.-Publish and present novel and innovative research findings in top AI venues.-Develop a larger AI talent and foster a culture of continuous learning across practice and organization. Mentor a team of researchers and engineers.-Support client engagements by providing consulting and solutioning for complex client problems by bringing in niche AI skills and utilizing advanced internal and external frameworks and accelerators. Professional & Technical Skills: -A Ph.D. in Computer Science, Electrical Engineering, Electronics, Electronics and Communication, Data Science/AI, Mathematics and Statistics from premium institutes IITs, IISc, IIIT and ISI-Overall experience 10-15 years and Relevant experience (post PhD) 5+ years.-Deep expertise in reinforcement learning, autonomous agents, and multi-agent systems.-Strong understanding of LLMs and their integration into agentic workflows.-Experience with frameworks like LangChain, AutoGPT, or similar.-Proven track record of innovation and publications. Additional Information:- The candidate should have minimum 18 years of experience in Computer Vision.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Natural Language Processing (NLP) Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :Accenture Center for Advance AI (CAAI) focuses on building scalable enterprise AI and Gen AI based solutions for various industries such as - Financial Services, Utilities, Energy, Manufacturing, Retail, Communications, Heath & Public Services, and Products. The Applied AI Research and Innovation Group, within CAAI, is focusing on foundational and applied research in the various fields of AI Gen AI, Model building/training/finetuning, Agentic AI, etc. to develops offerings which can be utilized for complex and challenging client delivery projects. We are seeking a visionary AI Research and Innovation Principal to spearhead our efforts in Agentic AIdeveloping autonomous, goal-driven AI systems capable of reasoning, planning, and interacting in complex environments. This role is ideal for a thought leader passionate about pushing the boundaries of intelligent agents. Roles & Responsibilities:- Lead R&D in agentic architectures, autonomous agents, including planning, memory, tool use, and self-reflection, human agent collaboration, model/agent drift detection.- Design and prototype autonomous agents for real-world applications (e.g., enterprise automation, digital assistants, healthcare autonomous agents).- Collaborate with solutioning, delivery and engineering teams to integrate agentic capabilities into scalable systems across various industries, collaborate with Responsible AI team to ensure the polices are baked in the solutions, consulting team to provide technical depth in AI, academia and industry partners for pushing the research boundaries.- Publish and present novel and innovative research findings in top AI venues.- Develop a larger AI talent and foster a culture of continuous learning across practice and organization. Mentor a team of researchers and engineers.- Support client engagements by providing consulting and solutioning for complex client problems by bringing in niche AI skills and utilizing advanced internal and external frameworks and accelerators. Professional & Technical Skills: - A Ph.D. in Computer Science, Electrical Engineering, Electronics, Electronics and Communication, Data Science/AI, Mathematics and Statistics from premium institutes IITs, IISc, IIIT and ISI.- Overall experience 8-10 years and Relevant experience (post PhD) 5+ years.- Deep expertise in reinforcement learning, autonomous agents, and multi-agent systems.- Strong understanding of LLMs and their integration into agentic workflows.- Experience with frameworks like LangChain, AutoGPT, or similar.- Proven track record of innovation and publications. Additional Information:- The candidate should have minimum 15 years of experience in Computer Vision.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Data Science Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve collaborating with cross-functional teams to design and implement production-ready solutions, ensuring that the applications meet high-quality standards. You will also explore innovative approaches to integrate generative AI models into various projects, contributing to advancements in deep learning, neural networks, and image processing technologies. Your role will require a balance of technical expertise and creative problem-solving to address complex challenges in the field of artificial intelligence. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior professionals to enhance their skills and knowledge in AI and machine learning.- Continuously evaluate and improve existing processes and systems to optimize performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Science.- Strong understanding of machine learning algorithms and their applications.- Experience with cloud-based AI services and deployment strategies.- Familiarity with programming languages such as Python or R for data analysis.- Knowledge of data visualization techniques to present insights effectively. Additional Information:- The candidate should have minimum 7.5 years of experience in Data Science.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 18 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions that incorporate generative AI models, deep learning techniques, and neural networks. You will collaborate with cross-functional teams to ensure the seamless integration of AI capabilities into various applications, while also addressing challenges related to image processing and chatbot functionalities. Your role will require a balance of technical expertise and innovative thinking to drive the successful deployment of AI solutions in a cloud or on-premises environment. Roles & Responsibilities:- Expected to be a Subject Matter Expert with deep knowledge and experience.- Should have influencing and advisory skills.- Engage with multiple teams and responsible for team decisions.- Expected to provide solutions to problems that apply across multiple teams, and provide solutions to business area problems.- Facilitate knowledge sharing sessions to enhance team capabilities and foster a culture of continuous learning.- Analyze and evaluate existing systems to identify areas for improvement and optimization. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Experience with cloud platforms like AWS, Azure, or Google Cloud for deploying AI solutions.- Familiarity with natural language processing techniques and tools.- Ability to design and implement scalable AI applications that meet business needs. Additional Information:- The candidate should have minimum 18 years of experience in Large Language Models.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education