1380 Deep Learning Jobs - Page 42

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. We are seeking a dynamic and skilled Lead AIML Engineer who is passionate about solving real world problems in the healthcare domain using cutting edge capabilities and emerging technologies. As a Lead AI/ML Engineer, the candidate will be responsible for developing AI business case, solution design and collaborating with other senior leaders, stakeholders, and customers to ensure alignment, integration of AI/ML capabilities with mentoring and leading the Data Science resources for contact analytics area. The Ideal Candidate will follow advancements in the state-of-the-art methods that are relevant to the particular use case and provide recommendations for model development and experimentation. Primary Responsibilities: Lead Artificial Intelligence (AI) Engineer Design innovative AI solutions to various business problems, utilizing cutting-edge AI technologies like Generative AI, Large Language Models, RAG, Reinforcement learning, Agentic AI Communicating analytics model behavior/results to Stakeholders Carrying out technical risk analysis and reliability assessments Mentor, Guide the team of scientists, data analysts, and business stakeholders to design and deploy AI solutions Develop and demonstrate AI use-cases, conducting workshops and training sessions to foster AI adoption Take a leadership role in the data science community of experts Evaluate and implement best practices in AI/ML, data mining, and analytics Document architecture roadmaps, reference architectures, and standard operating procedures for AI solutions 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 Master’s degree in computer science, Computer Engineering, Data Science, Information Technology, or related field 10+ years of work experience with at least one of the following languagesPython, Java, and R 5+ years of experience in high-level architecture design and solution development for large-scale AI/ML systems Extensive experience with deep learning frameworks (e.g., TensorFlow, Keras, PyTorch), time series analysis, predictive modeling, and NLP Experience and knowledge of Large Language Models, RAG, Transformers Comprehensive knowledge of modern data science and product/web analytics tools and tehcniques including python and associated data science ecosystem, machine learning, Azure Machine Learning etc. Broad knowledge and understanding of advanced statistical, machine learning, and/or data mining techniques Knowledge of both traditional machine learning algorithms and modern deep learning and generative AI models and methods Knowledge of both traditional machine learning algorithms and modern deep learning and generative AI models and methods Knowledge of high-performance AI computing platforms, Linux, and shell scripting in AI computing environments Knowledge of Cloud platform supporting AI Implementation like Azure ML Studio Proficiency in Python for AI/ML; experience with graph databases, neural networks, and MLOps Proven track record in industry use cases utilizing deep and machine learning techniques Demonstrated ability to develop and manage complex projects, leading an interdisciplinary team to achieve project goals Demonstrated ability to provide mentorship and guidance for the efficient and technical development of the members of your team Demonstrated ability to develop and manage complex projects, leading an interdisciplinary team to achieve project goals Demonstrated ability to provide mentorship and guidance for the efficient and technical development of the members of your team Proven expertise in predictive analytics, machine learning, deep learning architecture, Large Language Models, RAG, and text analytics with NLP Proven exceptional communication skills to articulate technical solutions to both technical and non-technical audiences Proven strategic thinking in systems capacity planning, hardware and software updates, and migration 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.

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. The Enterprise Intelligence Suit (EIS) is seeking a Data Scientist 2 to support various Optum Insights data science projects. This position is responsible for end-to-end model development for our clients in provider and payer segments. We are investing significantly in new capabilities to design, develop and deliver better solutions for these clients. We are seeking people with proven experience conceptualizing, defining and delivering solutions that enable data science teams to build and scale Machine Learning and Artificial Intelligence models that will power these solutions. Primary Responsibilities Take lead on data science projects to design and implement models and experiments from end to end, including data ingestion and preparation, feature engineering, analysis and modeling, model deployment, performance tracking and documentation Improve and extend the analytic methods in our products Conduct hands-on data analysis and predictive analytics on large datasets Effectively communicate complex technical results to business partners Support and drive analytic efforts around machine learning and innovation Work with a great deal of autonomy to find solutions to complex problems Review the work of others and serve as a leader/mentor Subject matter expert for our clients 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 Bachelor’s degree in Biostatistics, Mathematics, Economics, Computer Science, Theoretical Physics, Quantitative Social Sciences, Statistics, Information Systems, or relevant experience 3+ years of hands-on experience developing machine learning/deep learning models (Can be business/corporate experience and/or academic), Gen AI solutions 3+ years of experience working with healthcare data Experience applying computational algorithms and statistical methods to structured and unstructured data Experience breaking down and clearly defining problems Experience communicating highly technical results to a diverse audience Solid proficiency in advanced data science tools such as Python, Spark, SQL Comfort working as part of a team and taking the lead, as opposed to solo projects Telecommute is available Preferred Qualifications Masters degree Biostatistics, Mathematics, Economics, Computer Science, Theoretical Physics, Quantitative Social Sciences, Statistics, Information Systems Experience leading data science projects Experience reviewing the work of others Experience with deploying ML models in Azure, AWS, and/or Google Cloud Experience with agile product development 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.

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together Optum is looking for a Manager Data Engineer with deep subject matter expertise in text processing, who will be part of a team leading the technical development and inventions that allow Optum machine learning products drive positive impact in the healthcare business. Leverage UHG’s big data analytics infrastructure, as well as cloud environments, comprising Hadoop, R, Python, HIVE, SPARK to tackle previously unsolved problems. Your expertise will bring business and industry context to science and technology decisions. Your code, designs and documents are exemplary and are used as references across the organization. A successful candidate is a hands-on AI/ML engineering expert that will tackle intrinsically hard problems, acquiring expertise as needed. The candidate will help decompose complex problems into straightforward solutions. Primary Responsibilities: Help design and develop the next generation of NLP, ML & AI products, and services for healthcare Develop machine learning and deep learning models and systems in domains including, but not limited toNLP, NLU, NLG, SLU and multidimensional time series forecasting among others Ability to optimize GenAI models Manage NLP & ML models lifecycle for a suite of products Run large complex proof-of-concepts for the business Manage prioritization and technology work for building NLP, ML & AI solutions Lead the full end-to-end machine learning development process including data ingestion and preparation, feature engineering, analysis and modeling, model deployment, performance tracking and documentation Establish best practices for end-to-end deep learning and machine learning development cycle to ensure rigor in process and quality in outcome Work with a great deal of autonomy to find solutions to complex problems 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 Qualifications Required Qualifications: Graduate degree in applicable area of expertise or equivalent experience Experience in deploying scalable solutions to complex problems, from defining the problem, implementing the solution, and launching the new product successfully Experience in the health care industry Experience with LLM’s like Langchain, Autogen, MCP, RAG etc. and knowledge on Transformers Architecture Statistics, Machine Learning Models, Model Deployment Proven excellent communication, writing and presentation skills Demonstrated hands on experience in using algorithm libraries / frameworks like PyTorch, TensorFlow Demonstrated hands on experience in working with Big Data technologies such as SPARK Knowledge of Azure or GCP or AWS Worked hands-on on the cloud and have familiarity with cloud-based AI/ML services Preferred Qualification: Experience in the health care industry 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.

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. Optum AI is UnitedHealth Group’s enterprise AI team. We are AI/ML scientists and engineers with deep expertise in AI/ML engineering for health care. We develop AI/ML solutions for the highest impact opportunities across UnitedHealth Group businesses including UnitedHealthcare, Optum Financial, Optum Health, Optum Insight, and Optum Rx. In addition to transforming the health care journey through responsible AI/ML innovation, our charter also includes developing and supporting an enterprise AI/ML development platform. Optum AI Team Members Have impact at scaleWe have the data and resources to make an impact at scale. When our solutions are deployed, they have the potential to make health care system work better for everyone Do ground-breaking workMany of our current projects involve cutting edge ML, NLP and LLM techniques. Generative AI methods for working with structured and unstructured health care data are continuously being developed and improved. We are working in one of the most important frontiers of AI/ML research and development Partner with world-class experts on innovative solutionsOur team members are developing novel AI/ML solutions to business challenges. In some cases, this includes the opportunity to file patents and publish papers about the methods we develop. We also collaborate with AI/ML researchers at some of the world’s top universities Primary Responsibilities Develop and deploy innovative AI solutions to various business problems. You will have the opportunity to learn and apply some of the most cutting-edge AI technologies Research and evaluate new data sources, AI technology trends and methodologies to enhance Organization level data science capabilities and solutions Perform data analysis, pre-processing and feature engineering required to ensure quality and reliability of the AI models and optimize them for performance and robustness Develop and deploy big data pipelines and frameworks for data ingestion, processing and analysis 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 Bachelor's degree or higher in computer science or engineering with a focus on language processing. 7+ years of experience in AI, ML and/or NLP R&D (with demonstrable impact preferred). This requirement maybe relaxed for candidates with a PhD 6+ years of overall experience Experience with both traditional machine learning algorithms and modern deep learning and generative AI models Proven good knowledge of and hands-on skills with repository management and GPU use, and the ability to rapidly set up pipelines for testing new ideas Proficiency in Python, R, SQL and other programming languages for data analysis and modeling Proficiency with cloud development environments such as Azure, AWS, and GCP Proven excellent analytical and problem-solving skills, including the ability to disaggregate issues, identify root causes and recommend solutions 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.

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibilities Develop and deploy innovative AI solutions to various business problems. Should be able to apply some of the most cutting-edge AI technologies Research and evaluate new data sources, AI technology trends and methodologies to enhance Organization level data science capabilities and solutions Perform data analysis, pre-processing and feature engineering required to ensure quality and reliability of the AI models and optimize them for performance and robustness Analyzes and investigates Provides explanations and interpretations within area of expertise 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 Bachelor’s degree or higher in computer science engineering with a focus on language processing. Overall 4+ years of experience in AI ML roles Experience implementing multiple machine learning and AI techniques such as supervised, unsupervised, reinforcement learning, Deep learning, NLP Understanding of Both Opensource and Open AI LLMs and RAG architecture Proficiency in libraries such as Hugging face and OpenAI API Proficiency with cloud development environments such as Azure Proficiency with experience in ML and NLP R&D with demonstrable impact Proven excellent analytical and problem-solving skills, including the ability to disaggregate issues, identify root causes and recommend solutions Proven good grasp of using LLMs, Deploying LLMs 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.

Optum AI is UnitedHealth Group’s enterprise AI team. We are AI/ML scientists and engineers with deep expertise in AI/ML engineering for health care. We develop AI/ML solutions for the highest impact opportunities across UnitedHealth Group businesses including UnitedHealthcare, Optum Financial, Optum Health, Optum Insight, and Optum Rx. In addition to transforming the health care journey through responsible AI/ML innovation, our charter also includes developing and supporting an enterprise AI/ML development platform. Optum AI Team Members Have impact at scaleWe have the data and resources to make an impact at scale. When our solutions are deployed, they have the potential to make health care system work better for everyone. Do ground-breaking workMany of our current projects involve cutting edge ML, NLP and LLM techniques. Generative AI methods for working with structured and unstructured health care data are continuously being developed and improved. We are working in one of the most important frontiers of AI/ML research and development. Partner with world-class experts on innovative solutionsOur team members are developing novel AI/ML solutions to business challenges. In some cases, this includes the opportunity to file patents and publish papers about the methods we develop. We also collaborate with AI/ML researchers at some of the world’s top universities. OptumAI is looking for a Senior Machine Learning Engineer with deep subject matter expertise in text processing, NLU and SLU (Natural language understanding and Spoken Language Understanding) who will be part of a team leading the technical development and inventions that allow Optum machine learning products drive positive impact in the healthcare business. Your expertise will bring business and industry context to science and technology decisions. As part of the OptumAI AI/ML engineering group, you set the standard for scientific excellence and make decisions that affect the way we build and integrate algorithms. Your code, designs and documents are exemplary and are used as references across the organization. A successful candidate is a hands-on AI/ML engineering expert that will tackle intrinsically hard problems, acquiring expertise as needed. The candidate will help decompose complex problems into straightforward solutions. Primary Responsibilities Help design and develop the next generation of NLP, ML & AI products, and services for healthcare Develop machine learning and deep learning models and systems in domains including, but not limited toNLP, NLU, NLG, SLU and multidimensional time series forecasting among others Exposure in RAG, LangChain, VectorDBs Ability to Quantize, Optimize GenAI models Manage NLP & ML models lifecycle for a suite of products Run large complex proof-of-concepts for the healthcare business Manage prioritization and technology work for building NLP, ML & AI solutions Lead the full end-to-end machine learning development process including data ingestion and preparation, feature engineering, analysis and modeling, model deployment, performance tracking and documentation Establish best practices for end-to-end deep learning and machine learning development cycle to ensure rigor in process and quality in outcome Work with a great deal of autonomy to find solutions to complex problems 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 in applicable area of expertise or equivalent experience Experience in deploying scalable solutions to complex problems, from defining the problem, implementing the solution, and launching the new product successfully Skill Set; NLP, NLU, NLI ArchitectureTransformers, Attention ModelsGPT, Llama, Mistral Model Quantization Model Optimization Retrieval & Ranking, RAG, RAGAS Statistics, Machine Learning Models, Model Deployment Proven excellent communication, writing and presentation skills Experience in the health care industry Preferred Qualification Experience in the health care industry 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

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. We are seeking a dynamic and skilled AIML architect who is passionate about solving real world problems in the healthcare domain using cutting edge capabilities and emerging technologies. As an AI solution architect, you will be responsible for developing AI business case, solution design and as needed prototypes. You will follow advancements in the state-of-the-art methods that are relevant to the particular use case and provide recommendations for model development and experimentation. Primary Responsibilities Develop and implement AI/ML strategies, vision, and guidelines in collaboration with business and IT stakeholders Design innovative AI solutions to various business problems, utilizing cutting-edge AI technologies Work on transformational AI and automation initiatives to support business priorities Research and evaluate new data sources, AI technology trends, and methodologies to enhance organizational data science capabilities and solutions Educate the team on AI technologies, best practices, and responsible use of AI Collaborate with cross-functional teams to understand business requirements and translate them into architecture solutions Ensure the scalability, reliability, and efficiency of AI/ML solutions in production environments Stay updated with the latest advancements in AI/ML techniques and tools and identify opportunities to enhance existing solutions Document and communicate findings, methodologies, and insights to technical and non-technical stakeholders Utilize frameworks such as Scikit Learn, TensorFlow, PyTorch, Vertex AI, and Azure AI Studio Navigate MLRB processes in partnership with others for new AI use cases and deployments 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 Bachelor’s or Master’s degree in computer science, Data Science, Statistics, or a related field 3+ years of experience in Data Science, AI/ML, or a similar role Experience implementing multiple machine learning techniques such as supervised, unsupervised, reinforcement learning, Deep learning, NLP Experience with the full life cycle of AI/ML projects, including EDA, model development, tuning, and drift analysis Hands-on experience in delivering production-grade AI/ML projects Solid technical writing skills and must have published research papers in leading academic journals on topics related to Artificial Intelligence & Machine Learning Proven excellent analytical and problem-solving skills, including the ability to disaggregate issues, identify root causes and recommend solutions Proven sound understanding of common NLP tasks such as text classification, entity recognition, entity extraction, and question answering Proficiency in frameworks such as Scikit Learn, TensorFlow, and PyTorch Solid understanding of mathematical and statistical concepts Proven excellent problem-solving and analytical thinking skills Solid communication and collaboration skills to work effectively in a team environment Preferred Qualifications Familiarity with the US Healthcare domain Experience in AIML R&D with demonstrable impact 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.

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibilities Develop and deploy innovative AI solutions to various business problems. Should be able to apply some of the most cutting-edge AI technologies Research and evaluate new data sources, AI technology trends and methodologies to enhance Organization level data science capabilities and solutions Perform data analysis, pre-processing and feature engineering required to ensure quality and reliability of the AI models and optimize them for performance and robustness Analyzes and investigates Provides explanations and interpretations within area of expertise 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 Bachelor’s degree or higher in computer science engineering with a focus on language processing. Overall 4+ years of experience in AI ML roles Experience implementing multiple machine learning and AI techniques such as supervised, unsupervised, reinforcement learning, Deep learning, NLP Understanding of Both Opensource and Open AI LLMs and RAG architecture Proficiency in libraries such as Hugging face and OpenAI API Proficiency with cloud development environments such as Azure Proficiency with experience in ML and NLP R&D with demonstrable impact Proven excellent analytical and problem-solving skills, including the ability to disaggregate issues, identify root causes and recommend solutions Proven good grasp of using LLMs, Deploying LLMs 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.

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibilities: Lead and manage a team of data scientists, fostering a collaborative and innovative environment Oversee the design and development of predictive models and machine learning algorithms Collaborate with business stakeholders to understand and define their data needs Translate business problems into data-driven solutions, presenting complex results in a clear and actionable manner Monitor model performance and continuously improve the accuracy of predictions and insights Maintain up-to-date knowledge of the latest data science trends and technologies, implementing new methodologies as appropriate Promote data literacy throughout the organization, educating staff on how to use data to drive decision-making Ensure data integrity and compliance with privacy regulations 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 Qualifications Required Qualifications: Bachelor of Engineering or equivalent 10+ years of total experience Coding Python, pandas, numpy Math behind ML and DL algorithms Basics of Statistics ML and DL concepts Preferred Qualification: Exposure GenAI and LLMs 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.

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibilities Lead AI or ML projects from conception to deployment, ensuring high-quality and scalable solutions Design and develop predictive and prescriptive models using advanced machine learning techniques Apply knowledge of statistics, programming, data modeling, and simulation to recognize patterns and identify opportunities Collaborate with engineers and other stakeholders to build statistical models and apply machine learning techniques for targeted solutions Conduct exploratory data analysis on unstructured, diverse datasets to drive innovative solutions Use analytics and statistical software such as SQL, R, Python, Hadoop, and others to perform analysis and interpret data Provide expertise in modeling and statistical approaches, including regression methods, decision trees, deep learning, NLP techniques, and uplift modeling Develop and evaluate predictive and prescriptive models and advanced algorithms to extract optimal value from data Communicate analysis and findings through interactive visualizations, documents, and presentations Mentor and guide junior data scientists, fostering a culture of continuous learning and improvement Stay updated with the latest advancements in AI/ML and data science, and apply them to improve existing solutions 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 Master's or Bachelor's degree in Computer Science, Statistics, Engineering, Mathematics, or a related field Proven experience in AI/ML projects, with hands-on experience in coding and deploying AI/ML solutions Experience to deploy and manage AI/ML applications preferable Azure or GCP Proficiency in statistical techniques, machine learning methods, and relevant technologies Proven solid programming skills in languages such as Python, R, SQL, and experience with big data tools like Hadoop Proven excellent analytical and problem-solving skills, with the ability to work with large amounts of data Proven effective communication skills, with the ability to present complex findings in a clear and concise manner Proven self-motivated, curious, and innovative, with a strong ability to work independently and as part of a team 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.

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibilities Assesses and interprets customer needs and requirements Identifies solutions to non-standard requests and problems Solves moderately complex problems and/or conducts moderately complex analyses Works with minimal guidance; seeks guidance on only the most complex tasks Translates concepts into practice Provides explanations and information to others on difficult issues Coaches, provides feedback, and guides others Acts as a resource for others with less experience 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 Qualification Undergraduate degree or equivalent experience

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibilities Design and implement scalable ML solutions using state-of-the-art generative models Fine-tune and optimize large language models (LLMs) for domain-specific applications Collaborate with cross-functional teams to integrate AI capabilities into products and services Conduct research and stay up-to-date with the latest advancements in generative AI and deep learning Develop pipelines for data preprocessing, model training, evaluation, and deployment Ensure model performance, fairness, and interpretability through rigorous testing and validation Mentor junior engineers and contribute to knowledge sharing within the team 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 Bachelor’s or master’s degree in computer science, Artificial Intelligence, Machine Learning, or a related field 7+ years of experience in AI/ML engineering, with at least 2 years focused on Generative AI Hands-on experience with LLMs, prompt engineering, and fine-tuning techniques Experience with ML Ops tools and cloud platforms (AWS, GCP, Azure) Familiarity with model evaluation techniques and bias/ethical AI metrics Proficiency in Python and ML frameworks such as TensorFlow, Py Torch, Hugging Face Transformers Proven excellent problem-solving skills and ability to work in a fast-paced environment 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.

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data, and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits, and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. Optum AI is chartered to drive value on high impact enterprise AI problems, democratize AI through the enterprise ML platform, accelerate the adoption of Generative Artificial Intelligence (Gen AI) and drive Responsible AI. Projecting to deliver $8.4B of benefit value over the next 5 years through these efforts as well as reduce risk through safe, accurate, and unbiased AI, this is a key focus of the enterprise. As a Lead AI/ML Software Engineer, you will be responsible for the design, implementation, and scaling of AI systems for health applications at Optum. You will be responsible for the development and execution of the vision for enabling solutions on United AI Studio (enterprise ML platform). As a Lead Engineer, you will ensure technical tasks and properly detailed, designed and executed per existing standards. You are expected to play key role in design activities and scoping and mentor juniors in execution. Primary Responsibilities Build platform features to for AI/ML lifecycle include data processing, AI inference (batch, real-time, hybrid) and end-to-end MLOps for non-generative and generative use-cases Utilize deep knowledge of AI/ML systems engineering to define future architecture patterns for a multi-cloud platform Develop robust, scalable, and maintainable code that meets the high standards of quality and performance. Utilize engineering expertise to coach and influence enterprise data scientists and ML engineers to adopt scaleable, robust process architecture for AI/ML use-cases. Stay up-to-date with the latest advancements in AI/ML technology and introduce innovative techniques and tools to the team. Mentor and develop junior engineers on the team. Participate in the entire software development lifecycle - design, implementation, testing, CI/CD and production operations Required Qualifications Master’s degree or Ph.D. with 7+ years of relevant experience or a bachelor's degree and at least 9+ years of relevant experience 7+ years industry experience as a Software Engineer, Software Developer, or AI/ML Engineer, with at least 5+ years in senior engineering roles with increasing scope 5+ years of demonstrable experience with AI/ML Engineering including data pipelines, model inference and MLOps for batch and real-time endpoints on cloud platforms (e.g. Databricks, Azure, AWS, GCP, Snowflake) 7+ years of experience with demonstrable proficiency in programming languages such as Python or Java 5+ years of demonstrable proficiency with querying and data processing tools (e.g. PySpark, SQL) as well as command-line tools (shell, regex, cloud CLI) Preferred Qualifications Experience with DevOps practices, including CI/CD, containerization (Docker, Kubernetes), and infrastructure as code. Deep understanding of AI/ML lifecycle and variations for different use-cases (non-generative, generative) Experience with AI/ML development in industries such as healthcare, aerospace, insurance Proven success in collaborating with geographically distributed team

: Job Title - Senior AI Resource - Generative AI / ML Location- Mumbai / Pune / Gurgaon Notice Period- Immediate Joiner / 30 days Experience- 5+ Yrs Key Responsibilities: AI Model Development Design and develop advanced AI/ML models, especially in generative AI, using state-of-the-art techniques and methodologies. Contribute to building scalable solutions aligned with best practices in software development. Model Training & Tuning Train, fine-tune, and optimize generative models to meet specific business and technical requirements, ensuring high-quality and effective results. Model Deployment Support Assist in deploying generative models into production, collaborating with engineers to ensure seamless integration with existing systems and workflows. Performance Evaluation Evaluate and benchmark the performance of generative models using appropriate testing methodologies. Continuously iterate on models for improvement. Documentation Create and maintain clear documentation for developed models, algorithms, and systems to ensure easy understanding and future updates by team members. Research & Application Keep abreast of the latest developments in generative AI and ML research. Apply emerging techniques and algorithms to current or upcoming projects. Collaboration Work closely with cross-functional teams (such as engineers, data scientists, and product managers) to align AI model outputs with business objectives, contributing to the successful completion of projects. Mentorship Provide support and guidance to junior AI engineers and data scientists. Help foster a culture of continuous learning and skill development within the team. Qualifications: Masters degree in Computer Science, Machine Learning, or a related field (Ph.D. is a plus). Proven experience (5+ years) in developing AI/ML models and solutions, with a strong focus on generative AI. Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or Keras. Strong programming skills in Python and experience with data manipulation, cleaning, and preprocessing. Experience with cloud platforms (e.g., AWS, Azure, GCP) and deployment tools. Ability to independently execute projects while collaborating effectively within a team. Practical experience in model evaluation , including measuring accuracy, efficiency, and scalability. Familiarity with the entire machine learning lifecycledata collection, training, deployment, and monitoring. Ability to work under pressure to meet deadlines while maintaining a high standard of quality. Strong communication skills and the ability to present technical concepts to both technical and non-technical stakeholders.

1. Data collection and preprocessing. 2. Building and evaluating ML models. 3. Analyzing and optimizing the models. 4. Handling documentation.

Key Responsibilities: Design, develop, and optimize NLP models for text classification, sentiment analysis, chatbots, and language generation. Work with deep learning models such as Transformers (BERT, GPT, LSTMs) to enhance NLP capabilities. Implement and fine-tune machine learning algorithms for text analytics and information extraction. Collaborate with data engineers and software developers to integrate NLP solutions into real-world applications.

Key Responsibilities: Design, develop, and optimize NLP models for text classification, sentiment analysis, chatbots, and language generation. Work with deep learning models such as Transformers (BERT, GPT, LSTMs) to enhance NLP capabilities. Implement and fine-tune machine learning algorithms for text analytics and information extraction. Collaborate with data engineers and software developers to integrate NLP solutions into real-world applications.

Key Responsibilities: Design, develop, and optimize NLP models for text classification, sentiment analysis, chatbots, and language generation. Work with deep learning models such as Transformers (BERT, GPT, LSTMs) to enhance NLP capabilities. Implement and fine-tune machine learning algorithms for text analytics and information extraction. Collaborate with data engineers and software developers to integrate NLP solutions into real-world applications.

About the work from home internship As an AI intern at CollegeTips Ed Tech Media Private Limited, you will have the exciting opportunity to work with cutting-edge technology in the field of Artificial Intelligence and Machine Learning. Your responsibilities will include: 1. Conducting research to stay up-to-date on the latest advancements in AI and ML. 2. Participating in brainstorming sessions to generate new ideas for AI tools & applications. 3. Contributing to the design and optimization of AI solutions for educational and entertainment purposes. 4. Providing support and assistance to team members on company related tasks. If you are passionate about AI and eager to gain hands-on experience in a fast-paced environment, this internship is perfect for you. Join us at CollegeTips Ed Tech Media and be a part of revolutionizing education through AI technology. Apply now and unleash your potential! Location-remote,Delhi NCR,Bangalore,Chennai,Pune,Kolkata,Ahmedabad,Mumbai,Hyderabad

About the Role: We are seeking a highly skilled and passionate Senior Data Scientist to join our growing AI/ML team. In this role, you will play a crucial part in developing cutting-edge AI solutions within the healthcare domain. You will focus on building and refining sophisticated Large Language Models (LLMs) to address critical challenges and improve healthcare outcomes. Key Responsibilities : - Develop and refine LLMs tailored for specific healthcare applications (e.g. , medical diagnosis, drug discovery, patient care). - Design and implement robust data pipelines for collecting, cleaning, and preparing high-quality healthcare datasets for LLM training. - Conduct thorough experimentation with different LLM architectures, hyperparameters, and training techniques. - Fine-tune pre-trained LLMs on specific healthcare tasks and datasets. - Implement techniques for improving LLM performance, such as prompt engineering, few-shot learning, and reinforcement learning. - Develop and implement rigorous evaluation metrics to assess the performance of LLMs on various healthcare tasks. - Conduct thorough model validation and testing to ensure accuracy, reliability, and safety. - Monitor model performance in production and identify areas for improvement. - Stay abreast of the latest advancements in LLM research and development. - Explore and implement cutting-edge techniques in natural language processing (NLP) and machine learning. - Conduct research and development on novel applications of LLMs in the healthcare domain. - Collaborate effectively with data engineers, clinicians, researchers, and other stakeholders. - Clearly communicate complex technical concepts to both technical and non-technical audiences. - Present research findings and project updates to team members and stakeholders. Qualifications : Essential : - Master's or Ph.D in Computer Science, Artificial Intelligence, Machine Learning, or a related field. - 3+ years of experience in developing and deploying machine learning models, with a strong focus on NLP and deep learning. - Proven experience in building and fine-tuning large language models. - Strong proficiency in Python and experience with deep learning frameworks (e.g. , TensorFlow, PyTorch). - Experience with data preprocessing, feature engineering, and model evaluation techniques. - Excellent analytical and problem-solving skills. - Strong communication and interpersonal skills

Key Responsibilities: Provide strategic guidance on AI adoption, ethics, and governance within the organization. Advise on AI-driven business models, innovation strategies, and regulatory compliance. Evaluate AI research, development, and deployment strategies to ensure ethical and sustainable growth. Mentor and collaborate with internal teams on best practices in AI, data science, and machine learning. Assess AI risks, biases, and challenges, providing solutions for responsible AI implementation.

Key Responsibilities: Design, develop, and optimize NLP models for text classification, sentiment analysis, chatbots, and language generation. Work with deep learning models such as Transformers (BERT, GPT, LSTMs) to enhance NLP capabilities. Implement and fine-tune machine learning algorithms for text analytics and information extraction. Collaborate with data engineers and software developers to integrate NLP solutions into real-world applications.

Key Responsibilities: Design, develop, and optimize NLP models for text classification, sentiment analysis, chatbots, and language generation. Work with deep learning models such as Transformers (BERT, GPT, LSTMs) to enhance NLP capabilities. Implement and fine-tune machine learning algorithms for text analytics and information extraction. Collaborate with data engineers and software developers to integrate NLP solutions into real-world applications.

Required Skills: Absolute clarity in Machine Learning models and Algorithms Must have hands-on experience in NumPy, Pandas, TensorFlow, and Keras, etc Knowledge of data preprocessing, feature engineering, model training, and evaluation Excellent written and verbal communication and presentation skills. Roles and responsibilities: Maintain and improve existing projects Collaborate with the technical team to develop new features and troubleshoot issues Lead projects to understand the requirements and distribute work to the technical team Follow the project/task timelines and quality.

About the position We are looking for a highly motivated candidate(s) who has exposure to conduct research and project works in areas related to Artificial Intelligence, Analytics, Cybersecurity and Cloud domains. The person(s) should have capabilities to take self-initiatives and must be quick learner and team player. This is a Research & Development (R&D) related role where the prospect would be required to work on several research and project works in the domains of Artificial Intelligence/ Analytics/Data Science/Cybersecurity/Cloud and other related technologies. The major expectation from this role is to publish good quality research papers and support the teams working to get research/project funding. The prospect will coordinate with different teams and manage and record all the activities. Job Role and Responsibilities Job responsibilities associated with this role are below: 1. Conducting research, publishing/presenting research papers in reputed journals/conferences. 2. Supporting the teams in writing and submitting research proposals to external agencies for funding. 3. Managing all the research and development activities within the RACE. 4. Leading the teams working on different funded/sponsored projects. 5. Subject Matter Expert (SME) for research-oriented courses and should have ability to create problems to assess the skills of a professional. 6. Leading various types of hackathons and competitions in Artificial Intelligence and, Analytics/Cybersecurity domains. 7. Supporting researchers and project developers in their R&D activities. 8. Properly maintaining the records and artefacts of all the above-mentioned activities and work as the Single Point of Contact (SPoC) to present the same and make it available as per the needs. 9. Creating high-quality contents and learning materials of professional standards. Qualifications, Experience and Skills Qualifications : M. Tech in Computer Science or similar Post-Graduation Degree. PhDs also can apply. Note: i. Applicants from Artificial Intelligence, Data Science and Cybersecurity backgrounds will be preferred. ii. The prospect must have good exposure to research publications. Experience: Minimum 2-3 years of Research/Industry/Academic experience in the relevant domain. Skillsets: - Programming Languages Python, R, JavaScript, React - Machine Learning, Deep Learning, Gen AI, AI Model Deployment and Monitoring - Cybersecurity Tools: Wireshark/Nmap/Metasploit/Splunk/ELK Stack/Burp Suite - Cloud: AWS/Azure/GCP - Strong Command on Data Analytics Tools Power BI/Tableau/Orange - Proficiency in Microsoft Excel Tools specially Word, Excel and Power Point Selection Process Profile Shortlisting followed by technical interviews with demos. Remuneration: Negotiable