5022 Artificial Intelligence Jobs - Page 29

Primary Responsibilities As a AI/ML Engineer, Candidate will be responsible for creating machine learning models and retraining systems The ideal candidate will work closely with AI Architects, Cloud Engineers, and a CRM Development Team, such as Salesforce Role will involve working with GenAI models like Gemini, GPT4, and others, as well as traditional machine learning models from the NLP/Deep Learning discipline A key part of role will be evaluating models and maintaining ethical responsibilities They must be able to work collaboratively with a diverse team and have a solution-oriented mindset Collaborate with AI Architects, Cloud Engineers, and a CRM Development Team to design and implement machine learning models and systems Work with GenAI models like Gemini, GPT4, as well as traditional machine learning models from the NLP/Deep Learning discipline Retrain existing models and systems to ensure their accuracy and efficiency Evaluate machine learning models and ensure they adhere to ethical standards Stay current with the latest trends and technologies in machine learning and artificial intelligence Provide technical support and guidance to the development team on machine learning-related issues Troubleshoot any issues related to the machine learning systems and conduct regular system tests to ensure their functionality and efficiency Document all procedures and systems related to the machine learning infrastructure for future reference and audits 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: Graduate degree or equivalent experience 4 year bachelor’s degree in Computer Science / Information Technology / Computer Engineering from a recognized university or equivalent experience 7+ years of experience in Java 3+ years of experience in Spring Boot & Microservices 1+ years of experience in AI ML Proven experience as a Machine Learning Engineer or similar role in the industry Experience working with AI technologies and cloud platforms (Google Cloud Platform, GCP) Solid knowledge of GenAI models like Gemini, GPT4, and traditional machine learning models from the NLP/Deep Learning discipline Proven excellent problem-solving and troubleshooting skills. Ability to work collaboratively with a diverse team of engineers, architects, and developers Tech-savvy professional with an in-depth understanding of machine learning models and technologies Solid commitment to maintaining ethical standards in their work Preferred Qualifications: Machine Learning certifications Experience in a Healthcare Payer enterprise Experience in training team members on machine learning technologies and applications Proficient in CRM platforms, such as Salesforce Knowledge of data privacy regulations and practices Solid communication and project management skills 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. #Nic External Candidate Application Internal Employee Application

PositionJunior Talent Acquisition Partner LocationBangalore Employment TypeFull-Time Were Siemens- a global innovation leader in digitalization, automation, and sustainability. We believe in creating meaningful impact through technology, and we know that our people are at the heart of it. Thats why we focus on delivering a rewarding employee experience, built on flexibility, learning, and purpose. The Opportunity Were looking for a passionate and driven Talent Acquisition (TA) Partner with 2"“4 years of experience to join our team. In this role, youll help us discover and attract outstanding talent across diverse functions. Your work will directly support Siemens' mission to build a better tomorrow"”by hiring the people who will make it happen. What Youll Do - 1. Full-Cycle Recruitment Job Marketing Create and post engaging, inclusive job descriptions across platforms to reach a wide, diverse audience. Talent Sourcing Actively source candidates using LinkedIn Recruiter, job boards (e.g., Naukri Resdex), events, referrals, and automation tools such as Chrome extensions and AI sourcing assistants. Interview Coordination Schedule interviews and support smooth communication between candidates and hiring managers. Onboarding Ensure seamless onboarding experiences by coordinating with internal teams and managing logistics. High-Volume Hiring Adapt quickly and manage hiring at scale with speed and agility. 2. Pipeline & Candidate Engagement Build Talent Pipelines Nurture a solid pipeline for current and future hiring needs. Engage Passive Talent Get in touch with passive candidates and fuel their interest in Siemens opportunities. 3. Screening & Assessment Initial Screening Evaluate candidates experience, skills, and alignment with Siemens values and culture. 4. Stakeholder Collaboration Partner with Hiring Teams Understand role requirements and deliver tailored hiring strategies. Provide Updates Keep both candidates and hiring managers informed throughout the process. 5. Tools & Reporting Track Metrics Use data to evaluate sourcing performance and hiring success (e.g., time-to-fill, source of hire). Report Insights Share trends and insights that support smarter hiring decisions. What Youll Bring- 2"“4 years of hands-on recruitment experience. Strong sourcing and networking expertise across channels and functions. Experience in fast-paced, high-volume hiring environments. Experience in volume hiring with speed and quality Excellent communication and relationship-building skills. Strong organizational abilities and attention to detail. Familiarity with ATS platforms and recruitment tools. A growth mindset and curiosity to explore new approaches and technologies. Weve got quite a lot to offer. How about you Were Siemens. A collection of over 379,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we encourage applications that reflect the diversity of the communities we work in across Gender, LGBTQ+, Abilities & Ethnicity. All employment decisions at Siemens are based on qualifications, merit, and business need. Bring your curiosity and imagination and help us shape tomorrow!

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.

Hello Visionary! 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 team. Siemens founded the new business unit Siemens Foundational Technologies (formerly known as Siemens IoT Services) on April 1, 2019 with its headquarter in Munich, Germany. It has been crafted to unlock the digital future of its clients by offering end-to-end support on their outstanding digitalization journey. Siemens Foundational Technologies is a strategic advisor and a trusted implementation partner in digital transformation and industrial IoT with a global network of more than 8000 employees in 10 countries and 21 offices. Highly skilled and experienced specialists offer services which range from consulting to craft & prototyping to solution & implementation and operation- everything out of one hand. We are looking for a Lead Software Engineer - AI/ML Engineer Youll make a difference by: Siemens is seeking a visionary and technically strong Lead AI/ML Engineer to spearhead the development of intelligent systems that power the future of sustainable and connected transportation. This role will lead the design and deployment of AI/ML solutions across domains such as efficiency improvements in software development process, predictive maintenance, traffic analytics, computer vision for rail safety, and intelligent automation in rolling stock and rail infrastructure. Key Responsibilities Lead the end-to-end lifecycle of AI/ML projects"”from data acquisition and model development to deployment and monitoring"”within the context of mobility systems. Architect scalable ML pipelines that integrate with Siemens Mobility platforms and other edge/cloud-based systems. Collaborate with multi-functional teams including domain experts, software architects, and system engineers to translate mobility use cases into AI-driven solutions. Mentor junior engineers and data scientists, and foster a culture of innovation, quality, and continuous improvement. Evaluate and integrate innovative research in AI/ML, including generative AI, computer vision, and time-series forecasting, into real-world applications. Ensure compliance with Siemens AI ethics, cybersecurity, and data governance standards. Required Qualifications Bachelor's or Masters or PhD in Computer Science, Machine Learning, Data Science, or a related field. 7+ years of experience in AI/ML engineering, with at least 2 years in a technical leadership role. Strong programming skills in Python and experience with ML frameworks such as TensorFlow, PyTorch, and Scikit-learn. Proven experience deploying ML models in production, preferably in industrial or mobility environments. Familiarity with MLOps tools (e.g., MLflow, Kubeflow) and cloud platforms (Azure, AWS, or GCP). Solid understanding of data engineering, model versioning, and CI/CD for ML. Preferred Qualifications Experience in transportation, automotive, or industrial automation domains. Knowledge of edge AI deployment, sensor fusion, or real-time analytics. Contributions to open-source AI/ML projects or published research. What We Offer Opportunity to shape the future of mobility through AI innovation. Access to Siemens global network of experts, labs, and digital platforms, flexible work arrangements, and continuous learning opportunities. A mission-driven environment focused on sustainability, safety, and digital transformation. Desired Skills: 9+ years of experience is required. Great Communication skills. Analytical and problem-solving skills Join us and be yourself! Make your mark in our exciting world at Siemens. This role is based in Pune and is an Individual contributor role. You might be required to visit other locations within India and outside. In return, you'll get the chance to work with teams impacting - and the shape of things to come. Find out more about Siemens careers at: & more about mobility at https://new.siemens.com/global/en/products/mobility.html

Hello Visionary! We empower our people to stay resilient and relevant in a constantly evolving 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 phenomenal addition to our vibrant team. Siemens Mobility is an independent handled company of Siemens AG. Its core business includes rail vehicles, rail automation and electrification solutions, turnkey systems, intelligent road traffic technology and related services. The Information Technology (IT) department has the global responsibility for the internal IT of Siemens Mobility. Its goal is to provide a robust and efficient IT landscape derived from business and market demands. Your personality and individuality make the difference. In our team, we increase business performance and point the way into the digital age. Is that exactly your thingThen live your passion in a cross-location team in which you can actively craft the future of our company. You open up new possibilities for our customers with your competence. Connected with this is an exciting career path that leads you to ever new projects and solutions in the field of IT for Siemens Mobility. We are looking for a Senior AI Developer Youll make a difference by Core AI Capabilities Expert in text understanding and generation Development of complex, agentic AI services Implementation of semantic search capabilities RAG (Retrieval-Augmented Generation) variants development Technical Skills Python-based prompt flows implementation LLM-based processing logic JSON/YAML schema development Integration with multiple AI frameworks AWS Bedrock Azure Document Intelligence Azure OpenAI LangChain/LlamaIndex Quality & Evaluation Design and implement AI evaluation pipelines Implement quality metrics G-Eval Faithfulness Answer correctness Answer relevance Synthetic ground truth data generation Performance optimization and monitoring Use Case Development Text extraction and analysis Document comparison capabilities List generation from documents Template filling implementations Chat function development Youll win us over by Experience level- 6+ years Very good English skills are required. Join us and be yourself! We value your outstanding identity and perspective and are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society. Come bring your authentic self and build a better tomorrow with us. Make your mark in our exciting world at Siemens. This role is based inPuneand is an Individual contributor role. You might be required to visit other locations within India and outside. In return, you'll get the chance to work with teams impacting - and the shape of things to come. Find out more about Siemens careers at & more about mobility at https://new.siemens.com/global/en/products/mobility.html

"‹ Hello Visionary! 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 team. Siemens founded the new business unit Siemens Advanta (formerly known as Siemens IoT Services) on April 1, 2019 with its headquarter in Munich, Germany. It has been crafted to unlock the digital future of its clients by offering end-to-end support on their outstanding digitalization journey. Siemens Advanta is a strategic advisor and a trusted implementation partner in digital transformation and industrial IoT with a global network of more than 8000 employees in 10 countries and 21 offices. Highly skilled and experienced specialists offer services which range from consulting to craft & prototyping to solution & implementation and operation- everything out of one hand. We are looking for a Senior Software Engineer Youll make a difference by Mandatory Python, Shell script, OOPS, C++, QT. (5-8 Years exp) Knowledge of AI/ML. (Nice to have) OS (Windows, Linux).(5+ Yrs) Squish tool (Nice to have) Good with Linux internals. Effective debugging and testing skills. Good Knowledge of embedded systems. Quick learner and team player. Good to have Knowledge of UI/UX. Railway domain knowledge GIT JIRA IBM-DOORS Desired Skills: 5-8 years of experience is required. Great Communication skills. Analytical and problem-solving skills Join us and be yourself! Make your mark in our exciting world at Siemens. This role is based in Pune and is an Individual contributor role. You might be required to visit other locations within India and outside. In return, you'll get the chance to work with teams impacting - and the shape of things to come. Find out more about Siemens careers at & more about mobility at https://new.siemens.com/global/en/products/mobility.html

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

Overview We are seeking a highly skilled and experienced Azure open AI Archirtect to join our growing team. You will play a key role in designing, developing, and implementing Gen AI solutions across various domains, including chatbots. The ideal candidate for this role will have experience with latest natural language processing, generative AI technologies and the ability to produce diverse content such as text, audio, images, or video. You will be responsible for integrating general-purpose AI models into our systems and ensuring they serve a variety of purposes effectively. Task and Responsibilities Collaborate with cross-functional teams to design and implement Gen AI solutions that meet business requirements. Developing, training, testing, and validating the AI system to ensure it meets the required standards and performs as intended. Design, develop, and deploy Gen AI solutions using advanced LLMs like OpenAI Models, Open Source LLMs ( Llama2 , Mistral ,"), and frameworks like Langchain and Pandas . Leverage expertise in Transformer/Neural Network models and Vector/Graph Databases to build robust and scalable AI systems. Integrate AI models into existing systems to enhance their capabilities. Creating data pipelines to ingest, process, and prepare data for analysis and modeling using Azure services, such as Azure AI Document Intelligence , Azure Databricks etc. Integrate speech-to-text functionality using Azure native services to create user-friendly interfaces for chatbots. 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 8+ years combined experience in IT and recent 5 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 GenAI Solutions. Experience with Azure Cloud Platform and Azure AI services such as Azure AI Search, Azure OpenAI , Document Intelligence, Speech, Vision , etc. Experience with Azure infrastructure and solutioning. Familiarity with OpenAI Models, Open Source LLMs, and Gen AI frameworks like Langchain and Pandas . Solid understanding of Transformer/Neural Network architectures and their application in Gen AI. Hands-on experience with Vector/Graph Databases and their use in semantic & vector search. Proficiency in programming languages like Python (essential). Relevant industry certifications, such as Microsoft CertifiedAzure AI Engineer, Azure Solution Architect etc. is a plus. Excellent problem-solving, analytical, and critical thinking skills. Strong communication and collaboration skills to work effectively in a team environment. A passion for innovation and a desire to push the boundaries of what's possible with Gen AI.

Siemens Digital Industries Software is seeking a detail-oriented Data Analyst to join our Strategy team where your analytical prowess will directly shape the future of industrial innovation. This pivotal role is crafted for an analytical thinker who thrives on solving complex problems and is eager to grow into a Data Science professional within our world-renowned technology ecosystem. As a Siemens Data Analyst, you'll experience an outstanding opportunity to work at the intersection of AI-driven solutions and global industrial digitalization, with clear pathways for professional development and mentorship from world-class technology leaders. Your work will not just analyze data, but will contribute to transformative technologies that solve real-world challenges for the Strategy organization. Responsibilities: Develop and maintain robust data pipelines using tools like Snowflake and ELT/ETL processes. Optimally communicate complex data findings and recommendations to both technical and non-technical stakeholders. Gather, clean, and analyze large datasets to extract meaningful insights. Develop and maintain dashboards, reports, and visualizations to track key business metrics. Collaborate with partners to define data-driven solutions and support strategic decision-making. Identify trends, patterns, and correlations in data to improve business processes. Apply SQL, Python, or R to perform data manipulation and analysis. Ensure data accuracy, integrity, and consistency across reporting platforms. Work closely with data engineers to optimize data pipelines and database structures. Experiment with innovative AI technologies (Langchain for generative AI) to explore new marketing possibilities and develop data-driven recommendations. Explore opportunities to integrate machine learning and AI techniques into analysis over time. Qualifications: Bachelors degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. We are looking for candidate with 3-5 years of experience in data analysis, business intelligence, data science or a related field. Proficiency in SQL for querying and handling data! Experience with data visualization tools (e.g., Tableau, Power BI, Looker, Matplotlib, Seaborn). Familiarity with Python or R for data analysis and automation and git version control. We are seeking for candidate with solid understanding of regression analysis and other statistical methods. Experience with AI/Machine Learning frameworks (e.g., Langchain) is a strong plus. Experience with Snowflake data warehousing is a plus! Adaptable and eager to learn new tools and technologies. A results-oriented approach with a good work ethic and a passion for innovation. Strong analytical and problem-solving skills with attention to detail. Excellent communication skills to collaborate with technical and non-technical teams. Willingness to expand into machine learning and data science methodologies. Easy to work with global team and can build positive relationships with a broad set of stakeholders that have diverse interests. A collection of over 377,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we welcome applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit, and business need. Bring your curiosity and creativity and help us shape tomorrow! We offer a comprehensive reward package which includes a competitive basic salary, bonus scheme, generous holiday allowance, pension, and private healthcare. Siemens Software. Transform the every day with us' #li-plm #LI-Hybrid, #SWSaaS ...Less

Hello Eager Tech Expert! To create a better future, you need to think creatively. Thats why we at Siemens need innovators who arent afraid to push boundaries to join our diverse team of tech gurus. Got what it takesThen help us build lasting, positive impact! Youll break new ground by PhD with 3+ years /Masters degree with 5+ proven experience from a reputed institute/organization. Hands-on experience with one or more of the following is a must Timeseries data analytics, feature engineering, and ML model development for industrial use cases in Process industry and/or discreet industry. In depth experience in Generative AI technologies, LLMs, capability to train/tune local LLMs, prompt engineering in industrial AI use cases In depth experience in Agentic AI frameworks and ability to implement Agentic AI solutions Expertise in Python, C++, C# languages Solid hands-on experience in training deep neural networks, recurrent networks using frameworks like Tensorflow, PyTorch, Sci-kit learn, LangChain Hands-on experience dealing with multimodal data (audio, video, text, sensors, etc.,) and suggest use cases with the best technological option for prototyping and productization. Expertise in working with databases like Influx, Mongo DB Ability to support and bring in customer/partner interest for the research group in the form of realizable pilots/projects Youre excited to build on your existing expertise, including Understanding of closed loop control in Industrial use cases Know how of time series and vector embedding spaces Optimization techniques and model compression for deployment on resource-constrained hardware/edge devices Experience building AI powered solutions for embedded platforms & compute constraint environments is a plus Knowledge of SaaS fundamentals is a plus Knowhow of solution design, architecture, software packaging using Docker/Kubernetes & deployment on cloud platforms is a plus Excited to collaborate with team members from idea generation, prototyping, present developed solutions and recommendations to business partners, and influence future technology roadmap and strategy of the portfolio. Closely follow latest developments in artificial intelligence and be an early adopter of pioneering trends/technologies Soft Skills: Technology leadership to drive and support topics in the guide path Capability to confidently address colleagues, end customers, over teams or in person meetings to demonstrate the work done effectively Very energetic and willing to walk the extra mile for achieving targets and be an active AI enthusiast within and outside Siemens. Create a better #TomorrowWithUs! Protecting the environment, conserving our natural resources, encouraging the health and performance of our people as well as safeguarding their working conditions are core to our social and business dedication at Siemens.

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.

Position Summary An AI Engineer designs, develops, and deploys artificial intelligence and machine learning models to solve complex problems and enhance business processes. They work on building intelligent systems, integrating AI into applications, and optimizing models for performance and scalability. How Youll Make an Impact (responsibilities of role) Develop and deploy AI/ML models for tasks like prediction, classification, and optimization. Design and implement data pipelines for training and testing AI models. Fine-tune pre-trained models (e.g., GPT, BERT) and build custom algorithms. Integrate AI solutions into applications using APIs and frameworks. Monitor and optimize model performance, scalability, and accuracy. Collaborate with data scientists, software engineers, and business teams. What You Bring (required qualifications and skills) EducationBachelors/Masters in Computer Science, AI, Data Science, or related fields. CertificationsAI/ML certifications (e.g., TensorFlow Developer, AWS Machine Learning). Experience3+ years in AI/ML development and deployment Proficiency in AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn). Strong programming skills (Python, R, Java, or C++). Experience with data preprocessing, feature engineering, and model evaluation. Knowledge of cloud platforms (AWS, Azure, Google Cloud) and MLOps tools. Familiarity with NLP, computer vision, or reinforcement learning. 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.

Educational Bachelor of Engineering Service Line Quality Responsibilities Data Science Consultant with machine learning and Python experience. Knowledge on end-to-end architecture of Data Science and machine learning project. Experience in productionizing machine learning models and guide development team for implementing machine learning use cases. The candidate should provide technology consulting for defining right Data Science and ML use cases.Responsibilities: Data collection, profiling, EDA & data preparation AI Model development, tuning & validation Visualization tools (e.g., PowerBI, tableau) Present findings to business users & project management teams Propose ML based solution approaches and estimates for new use cases Contribute to AI based modules in Infosys solutions development Explore new advances in AI continuously and execute PoCs Mentoringguide other team members ML algorithms AI domainsNLP, speech, computer vision Supervised, Unsupervised, Reinforcement learning Tools for data analysis, auto ML, model deployment and scaling Knowledge of datasets ProgrammingPython Databases Knowledge of cloud platforms Azure/AWS/GCP. Preferred Skills: Technology-Artificial Intelligence-Artificial Intelligence - ALL

Educational Bachelor of Engineering Service Line Information Systems Responsibilities SAP consulting experience including customer facing implementations, roll outs & expert advisory assignments in S/4HANA environment Closely work with the Business teams on problem definition, solution architecting, rollout plan Manage a team of people across various modules in SAP with focus on reengineering the business processes and migrating the business to a new instance. Responsible for deploying in various countries by coordinating between various teams in processes IT business and answering various stakeholders. Co working with cross functional teams Data modelling, Analytics, governance, infrastructure. Additional Responsibilities: QualificationCA\CWA\CS\MBAWork Experience12 to 15 yearsNotice PeriodImmediate to 30 daysWork LocationBangalore Technical and Professional : Primary Skills Professionally qualified Chartered Accountant/CMA/MBA Finance with ~12-15 years of SAP consulting experience in Finance & Controlling besides a good understanding of business processes Well versed with US GAAP, IFRS, Local GAAP for multiple countries, VAT, Sales Tax etc., Solid understanding of accounting concepts, processes and key controls, policies, reporting and budgeting principles. Preferably someone with a knowledge of using new age technologies like robotics, machine learning, artificial intelligence and drive transformation projects using design thinking methods Influencing skills, creative thinking/innovative mind-set Deep understanding of basic FICO processes covered or related to Financial Accounting modules GL/AP/AR/FA/Taxes SAP Financial Supply Chain Management- BCM, TRM Working knowledge of integration OTR , P2P ProcessSecondary Skills Working knowledge on 1 or more of the below would be an added advantage Preferred Skills: Technology-SAP Functional-SAP Finance

Educational Bachelor of Engineering Service Line Data & Analytics Unit Responsibilities Strong knowledge in Python ML, AI ML, LLM(Large Lang Model),Gen AI Preferred Skills: Technology-Machine Learning-Generative AI

Educational Bachelor of Engineering Service Line Data & Analytics Unit Responsibilities Strong knowledge in Python ML, AI ML, LLM(Large Lang Model),Gen AI Preferred Skills: Technology-Open System-Shell scripting-Bash Scripting Technology-Machine Learning-Python Technology-Machine Learning-Generative AI Technology-Machine Learning-AI/ML Solution Architecture and Design-traditional ai ml

Educational Bachelor of Engineering Service Line Data & Analytics Unit Responsibilities A day in the life of an Infoscion As part of the Infosys consulting team, your primary role would be to actively aid the consulting team in different phases of the project including problem definition, effort estimation, diagnosis, solution generation and design and deployment You will explore the alternatives to the recommended solutions based on research that includes literature surveys, information available in public domains, vendor evaluation information, etc. and build POCs You will create requirement specifications from the business needs, define the to-be-processes and detailed functional designs based on requirements. You will support configuring solution requirements on the products; understand if any issues, diagnose the root-cause of such issues, seek clarifications, and then identify and shortlist solution alternatives You will also 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 work with clients to identify business challenges and contribute to client deliverables by refining, analyzing, and structuring relevant data Awareness of latest technologies and trends Logical thinking and problem-solving skills along with an ability to collaborate Ability to assess the current processes, identify improvement areas and suggest the technology solutions One or two industry domain knowledge Technical and Professional : Technology-Big Data-Big Data - ALL,Technology-Machine Learning-Python Preferred Skills: Technology-Big Data-Big Data - ALL Technology-Machine Learning-Python

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 Service Line Data & Analytics Unit Responsibilities Responsible for successful delivery of MLOps solutions and services in client consulting environments; Define key business problems to be solved; formulate high level solution approaches and identify data to solve those problems, develop, analyze/draw conclusions and present to client. Assist clients with operationalization metrics to track performance of ML Models Agile trained to manage team effort and track through JIRA High Impact Communication- Assesses the target audience need, prepares and practices a logical flow, answers audience questions appropriately and sticks to timeline. Additional Responsibilities: Master’s degree in Computer Science Engineering, with Relevant experience in the field of MLOps / Cloud Domain experience in Capital Markets, Banking, Risk and Compliance etc. Exposure to US/ overseas markets is preferred Azure Certified – DP100, AZ/AI900 Domain / Technical / Tools KnowledgeObject oriented programming, coding standards, architecture & design patterns, Config management, Package Management, Logging, documentation Experience in Test Driven Development and experience in using Pytest frameworks, git version control, Rest APIs Azure ML best practices in environment management, run time configurations (Azure ML & Databricks clusters), alerts. Experience designing and implementing ML Systems & pipelines, MLOps practices Exposure to event driven orchestration, Online Model deployment Contribute towards establishing best practices in MLOps Systems development Proficiency with data analysis tools (e.g., SQL, R & Python) High level understanding of database concepts/reporting & Data Science concepts Hands on experience in working with client IT/Business teams in gathering business requirement and converting into requirement for development team Experience in managing client relationship and developing business cases for opportunities Azure AZ-900 Certification with Azure Architecture understanding is a plus Technical and Professional : Technical knowledge- has expertise in cloud technologies, specifically MS Azure, and services with hands on coding to – Python Programming - Expert and Experienced - 4 -5 years DevOps Working knowledge with implementation experience - 1 or 2 projects a minimum Hands-On MS Azure Cloud knowledge Understand and take requirements on Operationalization of ML Models from Data Scientist Help team with ML Pipelines from creation to execution List Azure services required for deployment, Azure Data bricks and Azure DevOps Setup Assist team to coding standards (flake8 etc) Guide team to debug on issues with pipeline failures Engage with Business / Stakeholders with status update on progress of development and issue fix Automation, Technology and Process Improvement for the deployed projects Setup Standards related to Coding, Pipelines and Documentation Adhere to KPI / SLA for Pipeline Run, Execution Research on new topics, services and enhancements in Cloud Technologies Preferred Skills: Technology-Artificial Intelligence-Artificial Intelligence - ALL Technology-Machine Learning-Python Technology-Artificial Intelligence-Computer Vision

We are looking for an Inbound Marketer with 3-4 years of experience in content writing, content management, and inbound marketing strategies. The ideal candidate will excel in creating and managing impactful content, driving engagement through webinars and social media, and optimizing inbound funnels using both traditional and AI-powered tools. Proficiency in HubSpot, AI tools, and generating actionable reports is essential. If youre passionate about content repurposing, storytelling, and blending AI innovation with marketing expertise, we want you on our team! Key Responsibilities Content Creation & Management: Write, edit, and manage compelling B2B content briefs, including blogs, whitepapers, case studies, eBooks, and landing pages tailored to IT services audiences. Content Repurposing: Transform existing content into various formats (e.g., infographics, social posts, video scripts) to maximize reach and engagement. Webinar Execution: Align with internal stakeholders on end-to-end execution of webinars from guest sourcing to post-webinar follow-ups. Repurpose webinar content into video clips, blog posts, LinkedIn snippets, and whitepapers. Identify event sponsorship & partnership opportunities for better reach Paid Ads: Design, launch, and optimize paid advertising campaigns (e.g., Google Ads, LinkedIn Ads, Twitter Ads) to drive traffic, generate leads, and boost brand visibility. Brainstorm Landing Page, Creatives, Lead Magnets. Coordinate with internal stakeholders. Should be able to ideate different ad angles, hooks, and formats. Social Media Marketing: Develop and execute social media strategies to amplify content, engage prospects, and build brand awareness across platforms like LinkedIn, Twitter, etc. HubSpot Expertise: Leverage HubSpot to manage campaigns, track performance, automate workflows, and maintain CRM hygiene. Design and optimize inbound marketing funnels to attract, convert, and nurture leads through targeted campaigns and workflows. Reporting & Analytics: Generate detailed reports on campaign performance, lead generation, and content ROI using HubSpot and other tools; provide actionable insights to refine strategies. AI Integration: Experiment with and implement AI tools to improve content creation, audience targeting, and marketing automation processes. Market Research: Conduct in-depth market research to identify industry trends, competitor strategies, and customer pain points, informing content development, campaign targeting, and business strategy. Collaboration: Work closely with the marketing, sales, and design teams to align content with business goals and brand messaging. Required Skills & Qualifications Experience: 3-4 years of proven experience in inbound marketing, content writing, and content management, preferably in a B2B or IT services environment. Content Expertise: Strong writing, editing, and storytelling skills with a portfolio showcasing B2B content (blogs, whitepapers, etc.). Technical Proficiency: Hands-on experience with HubSpot (campaign management, workflows, reporting) and familiarity with other tools like Google Analytics, Canva, or similar platforms. Webinar & Social Media: Demonstrated success in managing webinars and driving engagement on social media platforms (especially LinkedIn). Content Repurposing: Creative ability to repurpose content into multiple formats, enhanced by AI-driven suggestions and automation. Inbound Marketing Knowledge: Deep understanding of inbound funnels, lead nurturing, and content marketing strategies. Analytical Mindset: Ability to analyze data, generate reports, and use insights to optimize campaigns. Communication: Excellent verbal and written communication skills with a knack for simplifying complex IT concepts for diverse audiences. Education: Bachelors degree in Marketing, Communications, Journalism, or a related field (preferred but not mandatory).

Educational Bachelor of Engineering Service Line Equinox Responsibilities A day in the life of an Infosys Equinox employee As part of the Infosys Equinox delivery team, your primary role would be to ensure effective Design, Development, Validation and Support activities, to assure that our clients are satisfied with the high levels of service in the technology domain. You will gather the requirements and specifications to understand the client requirements in a detailed manner and translate the same into system requirements. You will play a key role in the overall estimation of work requirements to provide the right information on project estimations to Technology Leads and Project Managers. You would be a key contributor to building efficient programs/ systems and 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!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!Infosys Equinox is a human-centric digital commerce platform that helps brands provide an omnichannel and memorable shopping experience to their customers. With a future-ready architecture and integrated commerce ecosystem, Infosys Equinox provides an end-to-end commerce platform covering all facets of an enterprise’s e-commerce needs. Additional Responsibilities: Communication and Good Problem-solving skills. Good understanding of the functional capabilities of the e-commerce platform. Exposure to a variety of front-end, middleware, and back-end technologies Capable of contributing code to any area in the project’s technical stack. Understanding coding practices, code quality, and code coverage Technical and Professional : Frameworks - Proficiency in React, JQuery. E-Commerce Web application development Preferred Skills: Technology-Reactive Programming-react JS

Educational Bachelor of Engineering Service Line Digital Experience 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 Logical thinking and problem solving skills along with an ability to collaborate Understanding of the financial processes for various types of projects and the various pricing models available Ability to assess the current processes, identify improvement areas and suggest the technology solutions One or two industry domain knowledge Client Interfacing skills Project and Team management Technical and Professional : Primary skills:Technology-Digital Commerce-Hybris Ecommerce Preferred Skills: Technology-Digital Commerce-SAP Commerce Cloud (Hybris)

ROLE : Technical Lead & Mentor for AI Agent development • Ability to receive a project request, define a development plan, and identify the necessary tools and technologies. • Experience with LLMs (LLaMA, Mistral, GPT-like), RAG, fine-tuning, prompt engineering. • Agent architecture: task decomposition, memory, tool orchestration. • Languages: Python Preferred Skills Handling a team and deliver it with support and guidance. Agent Building Expertise : Hands-on experience in developing and deploying LLM agents with advanced features like tool integration, contextual memory systems, and feedback-driven learning us

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

Project Role : Technology Architect Project Role Description : Design and deliver technology architecture for a platform, product, or engagement. Define solutions to meet performance, capability, and scalability needs. Must have skills : Machine Learning Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary Responsible for designing, developing, and overseeing the implementation of artificial intelligence solutions within an organization. This role involves strategizing the use of AI to solve complex business challenges, ensuring the integration of AI systems with existing infrastructure, and leading initiatives to innovate and improve through AI technologies. Roles & Responsibilities:1. AI architects are responsible for designing data architectures that support the effective deployment of AI models. Involves everything from selecting appropriate data storage technologies, employing efficient data cleansing strategies, and designing data pipelines. 2. Deep understanding of AI and machine learning technologies such as deep learning frameworks, ML algorithms, cognitive computing and natural language processing (NLP) techniques 3. Ensure seamless integration of AI technologies with existing systems and databases, maintaining data integrity and system performance. 4. Continuously evaluate and refine AI systems, ensuring they deliver the desired outcomes and remain up to date with the latest technological advancements. Professional & Technical skills:1. Must have Skills: Knowledge of Agentic AI architecture frameworks including autonomous agents for Simulation in Manufacturing/Engineering. 2. Domain knowledge in areas of Manufacturing Operations - Automotive, Discrete Manufacturing, Consumer Packaged Goods, Life Science etc., 3. Knowledge of Gen AI, VLM, LLM, Agentic AI, architecture framework including autonomous agents for Simulation in Manufacturing/Engineering. 4. Significant experience in AI, machine learning, and data science, with a proven track record of successful AI implementations. 5. Deep understanding of AI technologies, algorithms, and computational statistics. 6. Proficiency in programming languages commonly used in AI, such as Python, R, and Java. along with applied mathematics, ML and Deep Learning frameworks (such as TensorFlow) and ML techniques (such as random forest and neural networks). 7. Understand the workflow and pipeline architectures of ML and deep learning workloads. An in-depth knowledge of components and architectural trade-offs involved across the data management, governance, model building, deployment and production workflows of AI is a must. 8. Software engineering and DevOps principles, including knowledge of DevOps workflows and tools, such as Git, containers, Kubernetes and CI/CD. Additional Information:1. The candidate should have a minimum of 12-16 years of experience in AI/ML field. 2. A 15 years full-time education is required. 3. This position is based at Bengaluru location. 4. Must have good communications skills and ability to manage team members. Qualification 15 years full time education