1595 Deep Learning Jobs

Strong knowledge of PHP web frameworks {{such as Codeigniter depending on your technology stack. Understanding the fully synchronous behavior of PHP. Understanding of MVC design patterns. understanding of front-end technologies, such as JavaScript, HTML5, and CSS3. Knowledge of object oriented PHP programming. Sheetal Tanwar

Building and maintaining systems for extracting, pre- processing and modelling for different data streams, as well as integrating data across different sources. Expertise in visualizations and data analysis. Creating predictive and prescriptive models that could have a positive impact on the business. Integrating data engineering and modelling algorithms/techniques and solutions into the backend systems Develop model monitoring infrastructure for periodic monitoring and upgradation of data science strategies and models Building & implementing state-of-the-art deep learning models. Working with various stakeholders to identify and capitalize on opportunities to leverage data to drive business solutions. R Programming / Python Scripting / SQL; Experience in Finance, R-Studio/Shiny. Experience 5 - 7 Years . Industry IT Software - Application Programming / Maintenance Qualification B.E Key Skills Data Analyst R Programming Python R Programmer

Job Title - GN - SONG - Service - Nice CX One - Analyst Management Level: 11/Analyst Location: Gurugram, Mumbai, Pune, Bengaluru, Hyderabad, Chennai Must have skills: Nice CX One Good to have skills: Contact Center Job Summary : You will work closely with our clients as consulting professionals who design, build and implement initiatives that can help enhance business performance. As part of these, you will drive the following Use cross domain functional exposure: Experience in contact center and overall customer service area, working in high-paced and complex projects and understanding industry specific Customer Service processes, operations and functional needs. Deploy thorough skills to manage stakeholder expectations: Engage in resolving issues, risks for the success of the project, possess a strong and well-established record of accomplishment in designing and delivering customer interaction solutions across various interaction channels (IVR, web, email, chat, SMS, Social Media etc...) Apply application design and development experience: Knowledge of implementing the orchestration platform of Contact Center Solution preferably in Fortune 500 companies with sophisticated customer interaction operations, leading Self-Service vendor organizations, or leading consulting firms. Deep dive with leading-edge expertise in implementing multichannel: Experience across IVR, Callback, Web, Email, Chat, SMS, Social Media etc. contact center applications using Contact Center Solution tools. Maximize thorough understanding of Contact Center Solution Framework: Integration with internal and external components, API integrations, understanding of Java, WebServices, Containerization (Kubernetes), deep knowledge of multiple contact center and speech recognition vendor platforms including hands-on experience with products. Professional & Technical Skills: Experience across functional and technical Voice and Non-Voice solutions: SMS, Email, Chat, web etc. applications solutions using application development tools. Experience and knowledge of Contact Center Solution Infrastructure Components :Those around routing, reporting, recording, multi-media (SMS, email, chat) WhatsApp, outbound, callback & inbound IVR solutions, chatbot, voice Bot Knowledge of Web Integration with Orchestration applications :Use AI and Natural Language processing (NLU Engines), knowledge of cutting-edge technologies including chat and voice Bot, AI, RPA Experience in auxiliary systems: Including WFM, Recording, Virtual Hold, Quality Management will be a plus. Additional Information: 1-4 years of experience across in depth functional and technical areas on delivering Voice and Non-Voice solutions e.g. (SMS, Email, Chat, web etc.) applications solutions using application development tools. Experience in implementing at least 1 NICE inContact / CXone project a must (which involves integration with CRM as well as Agent screen pop), design and application experience on implementing multichannel self-service/IVR and DFO solution. Experience in automating, designing and implementing key business processes in the domain of Customer Services, Contact Center Solution Cloud administration & application development using Contact Center Solution Interaction Designer About Accenture: Accenture is a leading global professional services company, providing a broad range of services and solutions in strategy, consulting, digital, technology and operations. Combining unmatched experience and specialized skills across more than 40 industries and all business functions underpinned by the worlds largest delivery network Accenture works at the intersection of business and technology to help clients improve their performance and create sustainable value for their stakeholders. With 624,000 people serving clients in more than 120 countries, Accenture drives innovation to improve the way the world works and lives. Visit us atAbout Our Company | Accenture About Accenture Strategy & Consulting: Accenture Strategy shapes our clients future, combining deep business insight with the understanding of how technology will impact industry and business models. Our focus on issues such as digital disruption, redefining competitiveness, operating and business models as well as the workforce of the future helps our clients find future value and growth in a digital world. Today, digital is changing the way organizations engage with their employees, business partners, customers, and communities. This is our unique differentiator. Global Network a distributed management consulting organization that provides management consulting and strategy expertise across the client lifecycle. Our Global Network teams complement our in-country teams to deliver cutting-edge expertise and measurable value to clients all around the world.For more information visit https://www.accenture.com/us-en/Careers/capability-network Accenture Global Network | Accenture in One Word come and be a part of our team. Qualification Experience: Minimum 3+ year(s) of experience is required Educational Qualification: MBA/PGDM from a tier 1 or 2

ABOUT ATRIA INSTITUTE OF TECHNOLOGY : Atria Institute of Technology (AIT), established in 2000 and located in Hebbal, Bengaluru, offers a dynamic campus life with a variety of extracurricular activities, technical events, and cultural festivals. The institution promotes a well-rounded student experience, featuring sports and recreational facilities. AITs curriculum includes industry-focused courses in fields like Artificial Intelligence, Cloud Computing, and Data Analytics, with collaborations from industry leaders such as IBM, EY, and SAP. The college has a strong placement record, with the highest salary package reaching 30 LPA and an average of 8 LPA. AIT offers undergraduate and postgraduate programs in engineering and technology, as well as a Master of Computer Applications (MCA) program. The college also supports research and innovation through its Centre of Excellence, contributing to advancements in technology. Job Title: Professor of Computer Science (or Allied Branches) Department: Department of Computer Science and Engineering (or relevant department) Institution: ATRIA IT Location: Hebbal,Bangalore Position Type: Full-time Job Description: We invite applications for the position of Professor in the Department of Computer Science and Engineering (or relevant department). The successful candidate will be expected to contribute to the growth and development of the department through teaching, research, and service to the institution. Key Responsibilities: Teaching: Develop and deliver high-quality undergraduate and graduate-level courses in areas such as algorithms, artificial intelligence, data science, machine learning, computer networks, cyber security, databases, software engineering, programming languages, etc. Research: Engage in independent and collaborative research in cutting-edge areas of computer science and allied branches. Supervise graduate students (Masters and PhD) and publish research findings in top-tier journals and conferences. Curriculum Development: Contribute to the development and continuous improvement of the computer science curriculum, ensuring its relevance to current technological advancements. Student Mentorship: Provide mentorship and academic guidance to students at undergraduate, graduate, and doctoral levels. Foster a positive learning environment and encourage students to engage in research. Service to the Department and Institution: Participate in departmental and institutional activities, including committee work, outreach, and academic service. Collaborate with faculty across different disciplines to promote interdisciplinary research. Professional Development: Stay current with the latest advancements in computer science and related fields. Attend conferences, workshops, and engage in academic networks. Qualifications: Education: A PhD in Computer Science, Computer Engineering, or a closely related field from an accredited institution. Experience: At least 10+ years of experience in teaching at the university level. A proven track record of research excellence, demonstrated through publications in high-impact journals and conferences. Experience in securing research grants and managing funded projects (preferred) . Skills & Competencies: Strong knowledge in areas of computer science such as [list specific areas, e.g., machine learning, algorithms, distributed systems, data science, etc.]. Proficiency in programming languages such as Python, Java, C++, or others relevant to the field. Excellent communication skills, both written and oral, with the ability to present complex ideas clearly. A commitment to fostering diversity, equity, and inclusion within the academic and research environment. Preferred Qualifications: Postdoctoral research experience in relevant areas. Prior experience in curriculum development and academic leadership roles. A demonstrated ability to work collaboratively with multidisciplinary teams. Application Instructions: Interested candidates should submit the following materials: A cover letter outlining qualifications and research interests. A curriculum vitae (CV) including publications and grants (if applicable). Contact information for at least three academic/professional references. A statement of teaching philosophy and approach to student mentorship. A statement of research interests and future research plans. Applications should be submitted via [application portal/website] by [application deadline]. For inquiries, please contact [contact name and email]. About [Institution Name]: [Institution Name] is a leading academic institution committed to excellence in teaching, research, and service. We offer a dynamic and inclusive academic environment, with opportunities for professional growth and interdisciplinary collaboration. This job description is intended to provide an overview of the key responsibilities and qualifications for a Professor position in Computer Science or allied branches. It can be customized based on the specific needs and focus areas of the institution.

Atria Institute of Technology (A.I.T.) invites applications and nominations for a Associate Professor The appointment will be made post the evaluation of the teaching experiences and in-depth knowledge/depth of understanding of the subject area. Qualification Required: B.E. / B.Tech + M.E / M.Tech + Doctor of Philosophy /Phd (Should be in CSE or ISE or Allied Branches) Teaching expectations include a commitment to effective instruction and mentoring with effective supervision of student research. Institution eminence building includes but is not limited to supporting the department into all its academic- related activities, conducting the semester examinations, invigilation duties, answer script evaluation and active participation in the accreditation process for the institution. Research expectations include the ability to work independently, to pursue interdisciplinary collaborations both within and outside A.I.T., to sustain an innovative, nationally recognized and externally funded research program, and grow relationships with industry. Key skills required for the job : Well versed with MS office as well as Google applications. Passion to teach and lead a group of students. Experience: 0-25 years of experience into teaching and/or research Ph.D. Freshers/experienced candidates with the required skills sets will be preferred.

What will your role look like Design, train, evaluate, and deploy traditional ML models as well as Generative AI-based applications. Work on supervised, unsupervised, and deep learning models including regression, classification, clustering, and sequence models. Build end-to-end ML pipelines including data preprocessing, feature engineering, model training, hyperparameter tuning, and evaluation. Develop and optimize LLM-based workflows using LangChain, LangGraph, and orchestration frameworks. Fine-tune, evaluate, and integrate LLMs such as GPT, LLaMA, Claude, Mistral, Falcon, Cohere, and Gemini. Implement Retrieval-Augmented Generation (RAG) using embeddings and vector stores like FAISS, Pinecone, or Chroma. Apply prompt engineering, LoRA, PEFT, and adapter-based fine-tuning to optimize LLMs for specific tasks. Build Agentic AI systems with tool-use capabilities and reasoning chains (e.g., ReAct, AutoGPT, BabyAGI, CrewAI). Use Hugging Face for leveraging pre-trained models and datasets for rapid experimentation. Collaborate with product, data, and engineering teams to productionize AI solutions using scalable cloud infrastructure. Why you will love this role Besides a competitive package, an open workspace full of smart and pragmatic team members, with ever-growing opportunities for professional and personal growth Be a part of a learning culture where teamwork and collaboration are encouraged, diversity is valued and excellence, compassion, openness and ownership is rewarded. We would like you to bring along Strong grasp of core ML concepts such as model selection, evaluation metrics, bias/variance tradeoff, overfitting/underfitting, etc. Good exposure on using Azure Open AI and hosting applications in Azure environment Experience in building and tuning models using scikit-learn, XGBoost, LightGBM, TensorFlow, or PyTorch. Experience in building ML pipelines with feature engineering, model tuning, cross-validation, and A/B testing. Proficiency in LangChain, LangGraph, and integrating with Hugging Face Transformers Ecosystem. Deep knowledge of various LLMs and techniques like prompt engineering, few-shot learning, and instruction tuning. Experience in building Agentic AI systems and coordinating multi-agent flows or tool-chaining. Familiarity with LLMOps/MLOps tools (e.g., MLflow, Weights & Biases, Kubeflow, SageMaker, or Vertex AI). Strong programming skills in Python, and experience deploying models using FastAPI, Flask, or Streamlit. Experience with cloud platforms (AWS/GCP/Azure) and handling GPU/TPU resources. Solid understanding of data structures, algorithms, and software engineering best Practices. Highly skilled AI/ML Engineer with a solid foundation in Machine Learning and deep hands-on experience in Generative AI (GenAI). Strong capabilities in building, training, and deploying ML models, along with significant experience. working with frameworks such as LangChain, LangGraph, and platforms like Hugging Face, vector databases, and various LLMs. Youll be a key contributor in developing smart assistants, AI agents, and ML solutions that solve complex business problems. Experience with LangSmith, PromptLayer, or other LLM observability tools Familiarity with Guardrails.AI, semantic caching, and output validation techniques Exposure to multi-modal models like CLIP, DALLE, Stable Diffusion, or Whisper Contributions to open-source GenAI or ML libraries/projects Domain expertise in areas like healthcare, finance, manufacturing, or legal tech.

Job Description R1RCM is a leading provider of technology-driven solutions that transform the patient experience and financial performance of healthcare providers. We are looking for an experienced AI/ML engineer to join our R&D team, who can work on ML (Machine Learning) models, use deep learning, neuro-linguistic programming (NLP), computer vision, chatbots, and robotics to help us improve various business outcomes and drive innovation. This is an excellent opportunity to take advantage of emerging trends and technologies and make a real-world difference in the healthcare industry. Objectives of this role Develop and implement solutions/processes and carry out R&D (Research and Development) to meet the needs of our AI/ML strategy. Help in design and development of advanced analytic solutions across functional areas as per requirement/opportunities. Foster innovative ideas for developing high impact solutions. Responsibilities As part of the R&D team, help the team to advise leaders on a broad range of technology, strategy associated with AI (Artificial Intelligence) & ML Work on functional design, process design (including scenario design, flow mapping), prototyping, testing, and support procedures, in collaboration with the team. Articulate and document the solutions architecture and lessons learned for each exploration and accelerated incubation. Work as team members, develop & assess the AI/ML and automation opportunities. Enable team members/as individual contributors to make necessary changes in product performance or presentation. Develop new and innovative AI/ML based solutions and PoC (Proof of Concept) Must have skills. 6-10 Years of experience in IT including 3+ years in developing / applying ML /AI models to practical and comprehensive technology solutions. Must be graduate in Computer Science preferably B. Tech/B.E. or MCA etc. Experience with ML, deep learning, TensorFlow, Python, NLP, Azure services. Knowledge of basic algorithms, object-oriented and functional design principles, and best- practice patterns. Experience in API development/consumption. NoSQL/RDBMS database design and optimizations. Open and willing to learn & work in any technology. Good to Have Skills Good to have knowledge of any other programming and/or scripting language. Exposure to Cloud technology like AWS (Amazon Web Services) / GCP (Google Cloud Platform). Experience with visualization tools (e.g., Power BI, Tableau etc.) Experience in Healthcare sector e.g. RCM Working in an evolving healthcare setting, we use our shared expertise to deliver innovative solutions. Our fast-growing team has opportunities to learn and grow through rewarding interactions, collaboration and the freedom to explore professional interests. Our associates are given valuable opportunities to contribute, to innovate and create meaningful work that makes an impact in the communities we serve around the world. We also offer a culture of excellence that drives customer success and improves patient care. We believe in giving back to the community and offer a competitive benefits package. To learn more, visitr1rcm.com Visit us on Facebook

Project Role : AI Infrastructure Architect Project Role Description : Architect and build custom Artificial Intelligence (AI) infrastructure/hardware solutions. Optimize AI infrastructure/hardware performance, power consumption, cost and scalability of computational stack. Advise on AI infrastructure technology and vendor evaluation, selection and full stack integration. Must have skills : Microsoft Azure Machine Learning Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI Infrastructure Architect, you will be responsible for architecting and building custom Artificial Intelligence infrastructure and hardware solutions. Your typical day will involve optimizing the performance, power consumption, cost, and scalability of the computational stack. You will also provide expert advice on AI infrastructure technology, vendor evaluation, selection, and full stack integration, ensuring that the solutions meet the evolving needs of the organization and its projects. 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.- Facilitate knowledge sharing and training sessions to enhance team capabilities.- Monitor industry trends and emerging technologies to inform strategic decisions. Professional & Technical Skills: - Must To Have Skills: Proficiency in Microsoft Azure Machine Learning.- Strong understanding of cloud computing principles and architecture.- Experience with AI model deployment and management.- Familiarity with data engineering practices and tools.- Ability to evaluate and integrate third-party AI solutions. Additional Information:- The candidate should have minimum 5 years of experience in Microsoft Azure Machine Learning.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

We are looking for a highly motivated and enthusiastic individual to join our team as a Trainee in X-Ray at Vijaya Diagnostic Centre. The ideal candidate will have a strong foundation in healthcare and be eager to learn and grow with our organization. Roles and Responsibility Assist the senior staff in performing X-ray procedures with precision and accuracy. Maintain patient records and ensure proper documentation of all procedures. Collaborate with other departments to provide excellent patient care. Participate in ongoing education and training to enhance skills and knowledge. Contribute to the development of new protocols and procedures to improve patient outcomes. Maintain confidentiality and adhere to hospital policies and procedures. Job Requirements Strong understanding of medical imaging principles and practices. Ability to work effectively in a fast-paced environment with attention to detail. Excellent communication and interpersonal skills. Ability to work collaboratively as part of a team. Strong analytical and problem-solving skills. Familiarity with X-ray equipment and techniques is an asset. About Company Vijaya Diagnostic Centre is a leading healthcare provider committed to delivering high-quality patient care and services. We are dedicated to staying up-to-date with the latest medical technologies and advancements, providing opportunities for professional growth and development to our staff. The selected candidate will have the opportunity to work under the guidance of experienced professionals and contribute to the growth and success of our organization.

Looking for challenging roleIf you really want to make a difference - make it with us Can we energize society and fight climate change at the same time At Siemens Energy, we can. Our technology is key, but our people make the difference. Brilliant minds innovate. They connect, create, and keep us on track towards changing the worlds energy systems. Their spirit fuels our mission. We are seeking a highly skilled and driven Senior AI Engineer to join our team as a founding member, developing the critical data and AI infrastructure for training foundation models for power grid applications. You will be instrumental in building and optimizing the end-to-end systems, data pipelines, and training processes that will power our AI research. Working closely with research scientists, you will translate cutting-edge research into robust, scalable, and efficient implementations, enabling the rapid development and deployment of transformational AI solutions. This role requires deep hands-on expertise in distributed training, data engineering, MLOps, a proven track record of building scalable AI infrastructure. Your new role- challenging and future- oriented Design, build, and rigorously optimize everything necessary for large-scale training, fine-tuning and/or inference with different model architectures. Includes the complete stack from dataloading to distributed training to inference; to maximize the MFU (Model Flop Utilization) on the compute cluster. Collaborate closely and proactively with research scientists, translating research models and algorithms into high-performance, production-ready code and infrastructure. Ability to implement, integrate & test latest advancements from research publications or open-source code. Relentlessly profile and resolve training performance bottlenecks, optimizing every layer of the training stack from data loading to model inference for speed and efficiency. Contribute to technology evaluations and selection of hardware, software, and cloud services that will define our AI infrastructure platform. Experience with MLOps frameworks (MLFlow, WnB, etc) to implement best practices across the model lifecycle- development, training, validation, and monitoring- ensuring reproducibility, reliability, and continuous improvement. Create thorough documentation for infrastructure, data pipelines, and training procedures, ensuring maintainability and knowledge transfer within the growing AI lab. Stay at the forefront of advancements in large-scale training strategies and data engineering and proactively driving improvements and innovation in our workflows and infrastructure. High-agency individual demonstrating initiative, problem-solving, and a commitment to delivering robust and scalable solutions for rapid prototyping and turnaround. We dont need superheroes, just super minds Bachelor's or masters degree in computer science, Engineering, or a related technical field. 5+ years of hands-on experience in a role specifically building and optimizing infrastructure for large-scale machine learning systems Deep practical expertise with AI frameworks (PyTorch, Jax, Pytorch Lightning, etc). Hands-on experience with large-scale multi-node GPU training, and other optimization strategies for developing large foundation models, across various model architectures. Ability to scale solutions involving large datasets and complex models on distributed compute infrastructure. Excellent problem-solving, debugging, and performance optimization skills, with a data-driven approach to identifying and resolving technical challenges. Strong communication and teamwork skills, with a collaborative approach to working with research scientists and other engineers. Experience with MLOps best practices for model tracking, evaluation and deployment. Desired skills Public GitHub profile demonstrating a track record of open-source contributions to relevant projects in data engineering or deep learning infrastructure is a BIG PLUS. Experience with performance monitoring and profiling tools for distributed training and data pipelines. Experience writing CUDA/Triton/CUTLASS kernels.

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.

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

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

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 looking for a skilled Technician to join our team at Vijaya Diagnostic Centre, responsible for operating and maintaining MRI equipment. The ideal candidate will have 3-4 years of experience in the field. Roles and Responsibility Operate and maintain MRI equipment for optimal performance. Prepare patients for procedures and ensure their safety during scans. Collaborate with radiologists to interpret scan results and provide accurate diagnoses. Maintain patient records and reports. Stay updated with new technologies and techniques in MRI imaging. Job Requirements Minimum 3-4 years of experience as an MRI technician or related field. Strong knowledge of MRI principles and practices. Ability to work effectively in a fast-paced environment. Excellent communication skills for interacting with patients and staff. Familiarity with medical imaging software and technology. Ability to maintain confidentiality and handle sensitive information.

We are looking for a skilled Technician to join our team at Vijaya Diagnostic Centre, responsible for operating and maintaining CT scan equipment. The ideal candidate will have 2 to 7 years of experience in the field. Roles and Responsibility Operate and maintain CT scan equipment for optimal performance. Prepare patients for procedures and ensure their safety during scans. Collaborate with radiologists to interpret scan results and provide accurate diagnoses. Maintain patient records and reports. Stay updated on new technologies and techniques in CT scanning. Job Requirements Minimum 2 years of experience in operating CT scan equipment. Strong knowledge of medical imaging principles and practices. Ability to work effectively in a fast-paced environment. Excellent communication and interpersonal skills. Ability to maintain confidentiality and handle sensitive information. Familiarity with healthcare industry standards and regulations.

We are looking for a highly skilled and experienced Assistant to join our Imaging Services team at Vijaya Diagnostic Centre. The ideal candidate will have 0 to 5 years of experience in the healthcare industry. Roles and Responsibility Assist in planning and implementing imaging services, including patient preparation and explaining procedures. Operate various medical imaging equipment, such as X-ray machines and CT scanners, under the direction of senior staff. Maintain accurate records of patient information, imaging results, and treatment plans. Collaborate with other healthcare professionals to provide comprehensive care to patients. Stay updated on the latest developments in medical imaging technology and techniques. Participate in quality improvement initiatives to enhance patient care and outcomes. Job Requirements Strong understanding of medical imaging principles and practices. Ability to work effectively in a fast-paced environment with attention to detail. Excellent communication and interpersonal skills. Ability to maintain confidentiality and handle sensitive information. Basic knowledge of medical terminology and anatomy. Familiarity with hospital policies and procedures related to patient care and safety.

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.

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 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 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

Design, develop, and deploy machine learning models and algorithms using Python. Implement computer vision solutions for image and video analysis. 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). Expertise in computer vision techniques and tools (e.g., OpenCV, YOLO, Mask R-CNN). c (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 big data technologies (e.g., Hadoop, Spark).

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.

Write in Python to deliver a wide variety of Machine Learning & Data Science solutions Implement models and algorithms on Databricks and H2O Building tools to accelerate feature experimentation and exploration with lineage, data privacy protection and easier model performance debugging. Collaborate with Product Owners to apply Workdays agile processes and be responsible for the initiation, delivery, and communication of projects for the stakeholder organizations Building ML-as-a-service, with the purpose of taking experiments to production quickly. Share learnings and project findings with the wider Workday Machine Learning Community Willing to work across multiple time zones. What You will Bring Proficient experience in Python coding, SQL, Spark and experience developing models and other data science work with Python 3 - 4+ years of experience implementing models or machine learning algorithms in production Experience on any of these cloud platforms (AWS, Azure, GCP)