72 Llm Models Jobs

As an AI/ML Engineer within our platform operations team, your main role will involve the design, construction, and maintenance of our AIOps solution. You are expected to possess a deep knowledge of AI/ML technologies, IT infrastructure, and platform engineering. **Job Responsibilities:** - Lead the design, development, and deployment of generative AI solutions, ensuring alignment with business objectives and technical requirements. - Provide mentorship and guidance to junior engineers. - Demonstrate deep expertise in generative AI technologies, contributing to the development of POCs and evaluating new methodologies to enhance AI capabilities. - Exhibit strong proficiency in Java or Python, with the ability to architect and build complex AI models from scratch. Ensure the delivery of secure, high-quality production code. - Utilize experience with React or Angular to create intuitive user interfaces for AI applications. Conduct thorough code reviews to maintain high standards of code quality. - Leverage AWS experience to implement best practices in AI integration, ensuring quality, security, and efficiency across AI projects. - Identify and implement opportunities to automate processes and enhance the operational stability of generative AI applications and systems. - Collaborate with cross-functional teams to evaluate and refine architectural designs for AI systems, ensuring scalability and robustness. - Actively participate in communities of practice to promote the adoption and awareness of new generative AI technologies, fostering a culture of continuous innovation. **Required qualifications, capabilities, and skills:** - Minimum 7+ years of strong proficiency in Python or Java, with the ability to architect and build complex AI models from scratch. - Two years of experience in generative AI development and prompt engineering. - Proven experience in system design, application development, testing, and operational stability in AI projects. - Minimum of 5+ years of strong experience with React or Angular. - 2+ years of AWS experience is a must-have. - Understanding of agile methodologies such as CI/CD, Application Resiliency, and Security, applied to AI projects. - Experience with LLM models and agentic tools. **Preferred qualifications, capabilities, and skills:** - Experience with AI model optimization and performance tuning to ensure efficient and scalable AI solutions. - Familiarity with data engineering practices to support AI model training and deployment. - Ability to collaborate with cross-functional teams to integrate generative AI solutions into broader business processes and applications. - Strong understanding of machine learning algorithms and techniques, including supervised, unsupervised, and reinforcement learning. - Experience with AI/ML libraries and tools such as TensorFlow, PyTorch, Scikit-learn, and Keras.,

As a Manager - AI/GenAI at EY, you will have the opportunity to work in a multi-disciplinary technology team focusing on Data Mining & Management, Visualization, Business Analytics, Automation, Statistical Insights, and AI/GenAI across various industry sectors. Your role will involve developing and delivering industry-specific solutions using Artificial Intelligence, Machine Learning, deep learning, and LLM models for Generative AI, text analytics, and Python Programming. **Key Responsibilities:** - Develop, review, and implement solutions utilizing AI, Machine Learning, Deep Learning, and Python APIs. - Lead the development and implementation of Generative AI applications using open source and closed source Large Language Models (LLMs) such as GPT-3.5, GPT 4, Llama, BERT, etc. - Design and optimize solutions leveraging Vector databases for efficient storage and retrieval of contextual data for LLMs. - Understand business sectors to identify opportunities for analytics applications. - Manage projects, ensure smooth service delivery, and communicate with cross-functional teams. - Provide expert reviews for projects and participate in Stakeholder Management. **Skills And Attributes For Success:** - Ability to work creatively and systematically in a problem-solving environment. - High ethical standards, flexibility, curiosity, and creativity. - Good interpersonal skills, team player, and ability to manage multiple priorities. - Intercultural intelligence and experience in working with multi-cultural teams. - Strong technical and problem-solving skills with excellent communication abilities. **Qualifications Required:** - 9 - 14 years of relevant work experience in AI and Machine Learning with deployment experience in Azure. - Experience in statistical techniques, deep learning, NLG, LLM, DL Techniques, and Python programming. - Proficiency in using open source and proprietary LLM models and Generative AI workflow management tools. - Familiarity with SDLC, product development principles, and mentoring team members. **Additional Details:** EY Global Delivery Services (GDS) offers a dynamic and global delivery network with career opportunities across various disciplines. You will collaborate with EY teams globally and work on exciting projects with well-known brands. Continuous learning, transformative leadership, and a diverse and inclusive culture are key aspects of working at EY. Join EY to be part of a market-leading team, contribute to building a better working world, and create long-term value for clients, people, and society.,

As a Senior Consultant at Kroll, you will be a part of the Decision Intelligence Services team, contributing to seamless analytical advisory services throughout the deal continuum. Your expertise in Artificial Intelligence, Machine Learning, Deep Learning, and LLM models for Generative AI, text analytics, and Python Programming will play a crucial role in scaling the Data, Analytics, and AI team. You will be responsible for offering industry/sector solutions and building automation tools to accelerate due diligence, data-driven insights, and optimization models. **Key Responsibilities:** - Build, review, and implement solutions using AI/GenAI, ML, and deep learning techniques, and develop APIs with Python - Handle large data volumes using the latest techniques and data tools - Work with advanced GenAI models like GPT 4, GPT 4o, Llama, and AI architecture leveraging vector DBs / RAG based approaches - Engage in buy/sell-side due diligence engagements, identifying value creation opportunities for analytics application - Deliver and manage mid to large size deals, ensuring smooth delivery on assigned engagements - Communicate effectively with cross-functional teams, coordinating between core functional and technology teams - Manage stakeholder relationships and lead mid-market deals from an analytics perspective - Prepare demo tools to be shared directly with clients - Engage directly with clients for delivery - Interpret data sets using statistical tools to identify trends and patterns - Uphold the firm's code of ethics and business conduct **Qualifications Required:** - Minimum 5-9 years of related work experience in developing and implementing AI/GenAI, ML models across industries - 2 years of experience with natural language generation/processing, LLM techniques, and familiarity with AI/ML frameworks - 4 years of experience in MS Azure based deployment with foundational knowledge of Azure Cognitive Services - Strong experience in statistical techniques, forecasting models, and Merger & Acquisition domain areas - Bachelor's degree in Engineering from a tier 1 college (Masters in Business/domain preferred) - Proficiency in programming languages like Python, analytics and data platforms like Azure, and business intelligence tools like PowerBI - Superior analytical, problem-solving, written, and verbal communication skills - Dedication to teamwork and flexibility to adapt to changing client demands - Desire to grow into a techno-functional consultant role Kroll, a global leader in risk and financial advisory solutions, offers a collaborative and empowering environment where you can propel your career to new heights. Join One Team, One Kroll, and contribute to building, protecting, restoring, and maximizing client value. Kroll is committed to equal opportunity and diversity, recruiting based on merit. Apply now via careers.kroll.com to be considered for this exciting opportunity.,

Job Description CloudMoyo is seeking a talented individual to join their team in the role of a Proposal Manager. In this role, you will be responsible for leading the end-to-end process of responding to RFPs, RFIs, and RFQs, ensuring timely and high-quality submissions. Your key responsibilities will include: - Analyzing and understanding client requirements, collaborating with subject matter experts to gather relevant information. - Leading architectural discussions and solution workshops for design exercises to create end-to-end solutions and mapping requirements to solution/service catalogues. - Leading client discussions, workshops, supporting presales solutions, and delivering on short-term discovery and architecture assessments. - Actively listening, respectfully challenging customers/partners, presenting insights and alternatives, and taking appropriate action. - Developing and articulating solutions including architecture, implementation, approach, governance mechanism, and commercials, and strategies to address client needs as outlined in the RFP/RFI/RFQ. - Collaborating with various teams (technical, sales, legal, etc.) to create comprehensive and persuasive proposals. Qualifications/Preferred Skills: - 10+ years of experience - Experience in preparing proposal presentations, solution architecture definition, estimations, differentiator positioning, and RFP responses independently. - Reviewing documentation for proposal submissions, ensuring adherence to guidelines and best practices. - Excellent communication and interpersonal skills. - Maintaining accurate records of past proposals and leveraging lessons learned for continuous improvement. - Experience using proposal management tools and software. - Certification in cloud platforms (e.g., AWS Certified Solutions Architect, Microsoft Certified: Azure Solutions Architect Expert, Google Cloud Professional Cloud Architect). - Breadth of knowledge across all technology areas (Application, Middleware, Integration, Data, security, DevOps, Cloud, AI/ML, etc. at architecture level). - Experience in preparing detailed responses for RFIs, RFQs, RFPs. Technical Expertise: - Possessing an understanding of enterprise architecture principles, IT systems, and emerging technologies to provide informed responses to client inquiries. - Staying abreast of industry trends and incorporating relevant technologies into proposal strategies. - Knowledge of Generative AI, LLM Models is a good to have. - Experience developing and implementing enterprise IT strategy for clients. - Expert level of knowledge and experience in Application Solutioning. - Experience in API design, API development & Management. Collaboration: - Experience in leading solution/technical architecture team to define complex enterprise architecture and implementation roadmap, presenting/defending solutions to client CTO/EA team, and aligning with business and IT stakeholders. - Working closely with sales, solution architects, project managers, and other stakeholders to ensure alignment between proposed solutions and client expectations. - Working closely with cross-functional teams to design comprehensive and compelling proposals that align with the organization's or customer's strategic goals. - Mentoring the team in architecture and technology areas, driving reusable assets build, facilitating workshops and meetings to gather input from key team members. - Guiding and directing junior Presales resources for proposal authoring, coordination, and overall bid management.,

As a Platform Development and Machine Learning expert at Adobe, you will play a crucial role in changing the world through digital experiences by building scalable AI platforms and designing ML pipelines. Your responsibilities will include: - Building scalable AI platforms that are customer-facing and evangelizing the platform with customers and internal stakeholders. - Ensuring platform scalability, reliability, and performance to meet business needs. - Designing ML pipelines for experiment management, model management, feature management, and model retraining. - Implementing A/B testing of models and designing APIs for model inferencing at scale. - Demonstrating proven expertise with MLflow, SageMaker, Vertex AI, and Azure AI. - Serving as a subject matter expert in LLM serving paradigms and possessing deep knowledge of GPU architectures. - Expertise in distributed training and serving of large language models and proficiency in model and data parallel training using frameworks like DeepSpeed and service frameworks like vLLM. - Demonstrating proven expertise in model fine-tuning and optimization techniques to achieve better latencies and accuracies in model results. - Reducing training and resource requirements for fine-tuning LLM and LVM models. - Having extensive knowledge of different LLM models and providing insights on the applicability of each model based on use cases. - Delivering end-to-end solutions from engineering to production for specific customer use cases. - Showcasing proficiency in DevOps and LLMOps practices, including knowledge in Kubernetes, Docker, and container orchestration. - Deep understanding of LLM orchestration frameworks like Flowise, Langflow, and Langgraph. Your skills matrix should include expertise in LLM such as Hugging Face OSS LLMs, GPT, Gemini, Claude, Mixtral, Llama, LLM Ops such as ML Flow, Langchain, Langraph, LangFlow, Flowise, LLamaIndex, SageMaker, AWS Bedrock, Vertex AI, Azure AI, Databases/Datawarehouse like DynamoDB, Cosmos, MongoDB, RDS, MySQL, PostGreSQL, Aurora, Spanner, Google BigQuery, Cloud Knowledge of AWS/Azure/GCP, Dev Ops knowledge in Kubernetes, Docker, FluentD, Kibana, Grafana, Prometheus, and Cloud Certifications (Bonus) in AWS Professional Solution Architect, AWS Machine Learning Specialty, Azure Solutions Architect Expert. Proficiency in Python, SQL, and Javascript is also required. Adobe is committed to creating exceptional employee experiences and values diversity. If you require accommodations to navigate the website or complete the application process, please contact accommodations@adobe.com or call (408) 536-3015.,

Role Overview A premier U.S.-based technology company is seeking experienced C++ engineers to enhance its next-generation AI-driven dialogue agents. Using state-of-the-art technology, this role focuses on developing open-ended, collaborative conversational AI with applications in education, entertainment, and general question-answering. Key Responsibilities Review, optimize, and validate AI-generated C++ code for efficiency and performance. Troubleshoot complex coding challenges and enhance AI-driven systems. Manage development cycles, set priorities, and meet project deadlines. Provide constructive feedback, mentor team members, and contribute to a culture of technical excellence. Required Qualifications Bachelor&aposs or Masters degree in Engineering, Computer Science, or equivalent experience. Professional experience in C++ development. Proven track record of leading teams or mentoring developers. Strong analytical thinking, problem-solving abilities, and communication skills. Preferred Qualifications Experience working with large-scale codebases (50K+ lines) and contributing to open-source projects. Proficiency with GitHub for version control and collaborative development. Familiarity with training LLM models and building scalable back-end AI systems. Why Join Us Collaborate with industry leaders and expand your expertise in AI-driven systems. Fully remote, contract-based role with flexibility and no traditional job constraints. Competitive compensation in USD, aligned with global industry standards. Work on groundbreaking projects that redefine the future of AI. Selection Process: Shortlisted developers may be asked to complete an assessment. If you clear the assessment, you will be contacted for contract assignments with expected start dates, durations, and end dates. Some contract assignments require fixed weekly hours, averaging 20/30/40 hours per week for the duration of the contract assignment. Show more Show less

Role Overview A premier U.S.-based technology company is seeking experienced C++ engineers to enhance its next-generation AI-driven dialogue agents. Using state-of-the-art technology, this role focuses on developing open-ended, collaborative conversational AI with applications in education, entertainment, and general question-answering. Key Responsibilities Review, optimize, and validate AI-generated C++ code for efficiency and performance. Troubleshoot complex coding challenges and enhance AI-driven systems. Manage development cycles, set priorities, and meet project deadlines. Provide constructive feedback, mentor team members, and contribute to a culture of technical excellence. Required Qualifications Bachelor&aposs or Masters degree in Engineering, Computer Science, or equivalent experience. Professional experience in C++ development. Proven track record of leading teams or mentoring developers. Strong analytical thinking, problem-solving abilities, and communication skills. Preferred Qualifications Experience working with large-scale codebases (50K+ lines) and contributing to open-source projects. Proficiency with GitHub for version control and collaborative development. Familiarity with training LLM models and building scalable back-end AI systems. Why Join Us Collaborate with industry leaders and expand your expertise in AI-driven systems. Fully remote, contract-based role with flexibility and no traditional job constraints. Competitive compensation in USD, aligned with global industry standards. Work on groundbreaking projects that redefine the future of AI. Selection Process: Shortlisted developers may be asked to complete an assessment. If you clear the assessment, you will be contacted for contract assignments with expected start dates, durations, and end dates. Some contract assignments require fixed weekly hours, averaging 20/30/40 hours per week for the duration of the contract assignment. Show more Show less

Role Overview: A leading U.S.-based technology company is hiring experienced C++ developers to enhance its next-generation AI-driven dialogue agents. Using the latest technology, the company focuses on creating open-ended, collaborative conversational AI with applications in education, entertainment, and general question-answering. Responsibilities: Review, improve, and validate AI-generated C++ code for quality and efficiency. Troubleshoot complex coding issues and contribute to AI system enhancements. Manage development cycles, priorities, and deadlines effectively. Provide feedback, mentor developers, and foster a culture of innovation. Job Requirements: Bachelor&aposs or Masters degree in Engineering, Computer Science, or equivalent experience. 3+ years of experience as a software engineer with strong C/C++ skills. Proven experience in leading teams or mentoring developers. Strong problem-solving, strategic thinking, and communication skills Nice to Have: Familiarity with large codebases (50K+ lines) and contributing to public GitHub repositories. Experience using GitHub for version control and collaboration. Knowledge of training LLM models and building scalable back-end components. Why This Opportunity Stands Out Engage with top-tier experts, expanding your professional network and expertise. This is a contractual remote work opportunity without traditional job constraints. Get rewarded with industry-standard salaries in USD. Be part of groundbreaking projects that redefine the future of AI. Selection Process: Shortlisted developers may be asked to complete an assessment. If you clear the assessment, you will be contacted for contract assignments with expected start dates, durations, and end dates. Some contract assignments require fixed weekly hours, averaging 20/30/40 hours per week for the duration of the contract assignment. Show more Show less

Role Overview A premier U.S.-based technology company is seeking experienced C++ engineers to enhance its next-generation AI-driven dialogue agents. Using state-of-the-art technology, this role focuses on developing open-ended, collaborative conversational AI with applications in education, entertainment, and general question-answering. Key Responsibilities Review, optimize, and validate AI-generated C++ code for efficiency and performance. Troubleshoot complex coding challenges and enhance AI-driven systems. Manage development cycles, set priorities, and meet project deadlines. Provide constructive feedback, mentor team members, and contribute to a culture of technical excellence. Required Qualifications Bachelor&aposs or Masters degree in Engineering, Computer Science, or equivalent experience. Professional experience in C++ development. Proven track record of leading teams or mentoring developers. Strong analytical thinking, problem-solving abilities, and communication skills. Preferred Qualifications Experience working with large-scale codebases (50K+ lines) and contributing to open-source projects. Proficiency with GitHub for version control and collaborative development. Familiarity with training LLM models and building scalable back-end AI systems. Why Join Us Collaborate with industry leaders and expand your expertise in AI-driven systems. Fully remote, contract-based role with flexibility and no traditional job constraints. Competitive compensation in USD, aligned with global industry standards. Work on groundbreaking projects that redefine the future of AI. Selection Process: Shortlisted developers may be asked to complete an assessment. If you clear the assessment, you will be contacted for contract assignments with expected start dates, durations, and end dates. Some contract assignments require fixed weekly hours, averaging 20/30/40 hours per week for the duration of the contract assignment. Show more Show less

Gainwell Technologies LLC Gainwell Technologies is the leading provider of technology solutions vital to the administration and operations of health and human services programs. We are the key player in the Medicaid space with a presence in 51 of the 56 U.S. states and territories with offerings including Medicaid Management Information Systems (MMIS), Fiscal Agent Services, Program Integrity, Care Management, Immunization Registry, and Eligibility Services. We generate over $2 billion in annual revenue and have been innovating for over 50 years. Powered by over 14,000 employees, Gainwell Solutions supports over 58 million Medicaid beneficiaries nationwide and manages 1 billion encounters. annually. Additionally, about 1.3 billion immunisation records are maintained, and we serve more than 3 million providers annually. For more information about us, please visit www.gainwelltechnologies.com Summary As a AWS Engineer with GenAI and Python/Dot Net/Java at Gainwell, you can contribute your skills as we harness the power of technology to help our clients improve the health and well-being of the members they serve — a community’s most vulnerable. Connect your passion with purpose, teaming with people who thrive on finding innovative solutions to some of healthcare’s biggest challenges. Here are the details on this position. Your role in our mission • Architect, provision, and maintain AWS demo environments leveraging services such as EC2, ECS/Fargate, Lambda, S3, RDS, DynamoDB, IAM, KMS, API Gateway, CloudWatch, and AWS Glue. • Build and maintain Terraform modules to automate environment provisioning, resets, and decommissioning. • Integrate AWS GenAI solutions (Bedrock, SageMaker) for scenario automation, and real-time demo enrichment. • Collaborate with Demo COE and Product SMEs to evaluate scenarios, and implement custom flows. • Implement RBAC, feature flag toggling, and configuration management via AWS Systems Manager and AppConfig. • Ensure environmental health with automated monitoring, alerting, and load testing (CloudWatch, AWS Load Balancer, X-Ray). • Support automated QA gates, metrics capture, and post-demo knowledge management. • Provide secondary support for cloud engineering (AWS Glue, Redshift, Athena) for ingesting, transforming • Contribute to hybrid cloud demos and integrations with Azure as needed. What we're looking for • Minimum 5 years’ AWS engineering experience, with strong C# or Java or Python development. • Terraform expertise for AWS IaC. • Experience with GenAI or ML services (Bedrock, SageMaker, Lambda). • Professional certification in AWS is preferred What you should expect in this role Fast-paced, challenging and rewarding work environment. Work life balance. Hybrid/Remote working. Will required late evening work to overlap US work hours, whenever it is required. The AWS Engineer is responsible for end-to-end deployment, configuration, and reliability of AWS-based product demo environments, integrating GenAI pipelines and engineering practices. The role demands deep cloud infrastructure skills (ECS, Lambda, RDS, S3), automation (Terraform). Remote working.

As a Tester in an agile team, your role goes beyond testing both Word Add-in & React Web app software. You will be the quality champion empowering teams to build highly performant and secure systems. It is essential to approach testing entrepreneurially by exploring unhappy paths and edge cases to ensure a highly resilient system. Your expertise in automated and manual testing will be crucial in efficiently covering the system's functionality while maintaining high quality standards. Adapting to a dynamic work environment, you are committed to the principle of automating everything. Your responsibilities will include ensuring thorough testing of every feature developed by the team, utilizing a blend of automated and manual testing methods to maintain quality standards. Providing detailed defect information to the team and collaborating with the Scrum master and Product Owner to prioritize fixes will be part of your routine. You will focus on automating and enhancing test suites with a continuous improvement mindset, working closely with IT and operations to conduct tests in production environments post-deployment for quality assurance. Being well-versed in the product vision, you will collaborate with designers and the Product Owner to translate their vision into effective tests. Identifying key risk areas in new solutions in partnership with development teams and staying updated on industry best practices and testing standards will be integral to your role. Active participation in scrum ceremonies to offer clarifications and problem-solving support to the team is expected. Your key skills and domain expertise will include significant experience as an exploratory tester across multiple platforms, proficiency in manual acceptance testing at the story level, and adeptness at identifying hidden requirements and edge cases. You should have experience in implementing automated end-to-end tests using frameworks like BDD, Appium, and Selenium, with the ability to code in Javascript. Strong knowledge of testing GenAI application, LLM models, and data pipelines is required, along with the ability to test both Desktop Word Add-in apps on Windows & MacOS and WebApps on various browsers and operating systems. In terms of Agile/Digital experience, a solid understanding of Agile methodologies and prior experience as a tester in a cross-functional agile team is preferred. Individual skills such as effective communication of technical concepts, problem-solving abilities, and collaboration for innovative solutions are essential. You should be passionate about technology, eager to work in an entrepreneurial environment that embraces emerging technologies, values transparency and trust, and encourages continuous learning and problem-solving.,

The company Repladder is a workflow automation agency that specializes in helping businesses develop scalable lead generation strategies through data-driven approaches. The team at Repladder focuses on cold outreach, custom targeting, and automated workflows to efficiently drive pipeline growth. Whether the company is a startup seeking its first customers or a scale-up looking to expand, Repladder is dedicated to supporting revenue growth every step of the way. The operations of the company run in the USA, UK & Europe. As a full-time on-site Software Engineer/Developer at Repladder located in Vadodara, you will have the exciting opportunity to work on GTM Products such as Clay.com, N8N, Make, Relevance, common room, and BRD AI. It is essential to note that proficiency in English speaking and writing is a mandatory requirement for candidates interested in this role. Responsibilities: - Demonstrated interest in complex workflows and utilizing multiple applications to achieve goals. - Expertise in webhooks and APIs. - Profound knowledge working with cursor.ai & lovable. - Ability to rapidly develop MVPs with backends. - Strong proficiency in JS & Python programming languages. - Positive attitude towards learning and feedback. - Experience with LLM models and prompting tasks. - Eagerness for continuous learning and growth. - Willingness to take ownership of tasks. - Strong skills in documentation. - Basic understanding of creating AI Agents, prompting, N8N, and lindy.ai. Benefits: - Access to paid tools valued at $20K. - Emphasis on a culture of learning and growing together. - Unlimited resources for continuous learning. - Flexible work timings. - Extra-curricular activities. Please note that this is an in-house role, and remote options are not available.,

Role & responsibilities Description - External 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: The profile requires the applicant to fulfill the following job responsibilities Understand client requirements and create a solution design Create best in class AI applications and solutions primarily in the NLP space Build and deploy the solution on Azure Work collaboratively with peers and in cross functional settings Uphold Optum Values 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 regard 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 - External Required Qualifications: Graduation in Engineering or Maths Experience in coding with Python and working on Machine Learning, Deep Learning and NLP algorithms Experience in working on LLM models 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. Preferred candidate profile

Your opportunity to make a real impact and shape the future of financial services is waiting for you. Let's push the boundaries of what's possible together As an Applied AI/GenAI ML Director within the Asset and Wealth Management Technology Team at JPMorgan Chase, you will provide deep engineering expertise and work across agile teams to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. You will leverage your deep expertise to consistently challenge the status quo, innovate for business impact, lead the strategic development behind new and existing products and technology portfolios, and remain at the forefront of industry trends, best practices, and technological advances. This role will focus on establishing and nurturing common capabilities, best practices, and reusable frameworks, creating a foundation for AI excellence that accelerates innovation and consistency across business functions Job Responsibilities: Lead the development and implementation of GenAI and Agentic AI solutions using Python to enhance automation and decision-making processes. Oversee the design, deployment, and management of prompt-based models on LLMs for various NLP tasks in the financial services domain. Conduct and guide research on prompt engineering techniques to improve the performance of prompt-based models within the financial services field, exploring and utilizing LLM orchestration and agentic AI libraries. Collaborate with cross-functional teams to identify requirements and develop solutions to meet business needs within the organization. Communicate effectively with both technical and non-technical stakeholders, including senior leadership. Build and maintain data pipelines and data processing workflows for prompt engineering on LLMs utilizing cloud services for scalability and efficiency. Develop and maintain tools and frameworks for prompt-based model training, evaluation, and optimization. Analyze and interpret data to evaluate model performance and identify areas of improvement. Required qualifications, capabilities, and skills: Formal training or certification on Machine Learning concepts and 10+ years applied experience. In addition, 5+ years of experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise. Hands-on experience in building Agentic AI solutions. Familiarity with LLM orchestration and agentic AI libraries. Strong programming skills in Python with experience in PyTorch or TensorFlow. Experience building data pipelines for both structured and unstructured data processing. Experience in developing APIs and integrating NLP or LLM models into software applications. Hands-on experience with cloud platforms (AWS or Azure) for AI/ML deployment and data processing. Excellent problem-solving skills and the ability to communicate ideas and results to stakeholders and leadership in a clear and concise manner. Basic knowledge of deployment processes, including experience with GIT and version control systems. Hands-on experience with MLOps tools and practices, ensuring seamless integration of machine learning models into production environments. Preferred Qualifications, Capabilities, and Skills: Familiarity with model fine-tuning techniques. Knowledge of financial products and services, including trading, investment, and risk management.

Qualcomm India Private Limited is a leading technology innovator in the Engineering Group, specifically in Hardware Engineering. At Qualcomm, we are dedicated to pushing the boundaries of what's possible to enable next-generation experiences and drive digital transformation for a smarter, connected future. As a Qualcomm Hardware Engineer, your role will involve planning, designing, optimizing, verifying, and testing electronic systems. This includes working on circuits, mechanical systems, Digital/Analog/RF/optical systems, equipment and packaging, test systems, FPGA, and/or DSP systems to launch cutting-edge, world-class products. Collaboration with cross-functional teams is essential to develop solutions and meet performance requirements effectively. To qualify for this role, you should hold a Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or a related field with 3+ years of Hardware Engineering experience. Alternatively, a Master's degree with 2+ years of experience or a PhD with 1+ year of experience in the relevant field will also be considered. Your primary responsibility will involve enhancing and adding new features to the Continuous Integration/Continuous Deployment (CI/CD) flow. This includes implementing complete automation using Python and REST API, developing new REST APIs on the Django framework, and deploying them on Docker. Proficiency in the LangChain framework and experience with Large Language Models (LLMs) are crucial for this role. Key Responsibilities: - Enhancing and adding new features to the CI/CD flow. - Implementing complete automation using Python and REST API. - Developing new REST APIs on the Django framework. - Deploying applications on Docker. - Utilizing the LangChain framework and working with LLM models. - Understanding and managing repositories. - Working with Perforce for version control. Required Skills: Must-Have: - Proficiency in Python programming. - Experience with REST API development. - Understanding of repositories and version control. - Familiarity with LSF and LSF APIs. - Experience with Continuous Integration/Continuous Deployment (CI/CD) flow. Good-to-Have: - Knowledge of the Django framework. - Familiarity with Docker for deployment. - Understanding of the LangChain framework and LLM models. Qualcomm is an equal opportunity employer committed to providing accessible processes for individuals with disabilities during the application/hiring process. If you require accommodations, please contact disability-accommodations@qualcomm.com. It is expected that all employees at Qualcomm adhere to applicable policies and procedures, including those related to security and the protection of confidential and proprietary information. For more information about this role, please reach out to Qualcomm Careers.,

Gainwell Technologies LLC Gainwell Technologies is the leading provider of technology solutions vital to the administration and operations of health and human services programs. We are the key player in the Medicaid space with a presence in 51 of the 56 U.S. states and territories with offerings including Medicaid Management Information Systems (MMIS), Fiscal Agent Services, Program Integrity, Care Management, Immunization Registry, and Eligibility Services. We generate over $2 billion in annual revenue and have been innovating for over 50 years. Powered by over 14,000 employees, Gainwell Solutions supports over 58 million Medicaid beneficiaries nationwide and manages 1 billion encounters. annually. Additionally, about 1.3 billion immunisation records are maintained, and we serve more than 3 million providers annually. For more information about us, please visit www.gainwelltechnologies.com Summary The AWS Engineer is responsible for end-to-end deployment, configuration, and reliability of AWS-based product demo environments, integrating GenAI pipelines and engineering practices. The role demands deep cloud infrastructure skills (ECS, Lambda, RDS, S3), automation (Terraform). This role is strictly involved in the development of the product and does not involve access to Protected Health Information (PHI) & Personally Identifiable Information (PII) or any secured/confidential client data. The work is limited to application development and does not include handling or processing of sensitive health information. Your role in our mission • Architect, provision, and maintain AWS demo environments leveraging services such as EC2, ECS/Fargate, Lambda, S3, RDS, DynamoDB, IAM, KMS, API Gateway, CloudWatch, and AWS Glue. • Build and maintain Terraform modules to automate environment provisioning, resets, and decommissioning. • Integrate AWS GenAI solutions (Bedrock, SageMaker) for scenario automation, and real-time demo enrichment. • Collaborate with Demo COE and Product SMEs to evaluate scenarios, and implement custom flows. • Implement RBAC, feature flag toggling, and configuration management via AWS Systems Manager and AppConfig. • Ensure environmental health with automated monitoring, alerting, and load testing (CloudWatch, AWS Load Balancer, X-Ray). • Support automated QA gates, metrics capture, and post-demo knowledge management. • Provide secondary support for cloud engineering (AWS Glue, Redshift, Athena) for ingesting, transforming • Contribute to hybrid cloud demos and integrations with Azure as needed. What we're looking for • Minimum 5 years’ AWS engineering experience, with strong C# or Java development. • Terraform expertise for AWS IaC. • Experience with GenAI or ML services (Bedrock, SageMaker, Lambda). • Professional certification in AWS is preferred What you should expect in this role Hybrid/Remote working. The AWS Engineer is responsible for end-to-end deployment, configuration, and reliability of AWS-based product demo environments, integrating GenAI pipelines and engineering practices. The role demands deep cloud infrastructure skills (ECS, Lambda, RDS, S3), automation (Terraform)

As a highly skilled Solution Architect at Quest Global, your primary responsibility will be to drive innovation and deliver impactful, scalable solutions tailored to our customers" needs. In this pivotal role, you will be developing proof of concepts, designing and leading solution implementations that enhance our offerings. Upon successful completion of the POCs, you will also be mentoring and guiding engineers in developing production-ready solutions. Your role will involve building architectures, whether new or rearchitecting existing products, and creating POCs to validate new Enterprise architectures, with a focus on Cloud technologies such as AI, Gen AI, and Data pipe enhancements. You will collaborate closely with client architects, Product Managers, and Engineering leaders to align with the product vision and help build corresponding responses from Quest Global, in collaboration with the VBU and project teams. In terms of work experience, you should have a strong background in designing and implementing AI/ML solutions using key libraries and frameworks, guiding end-to-end deployment from initial POC to production. Additionally, you should be adept at developing POCs for new solutions, demonstrating their business value to clients and leading their evolution into full-scale, production-ready solutions. Your expertise in Large Language Models should be showcased through practical examples and case studies, while also mentoring and coaching engineers throughout the implementation process to ensure robust, production-ready solutions with efficient monitoring and maintenance. Moreover, you should exhibit technical expertise in a variety of API technologies, including Python libraries, REST APIs, Java frameworks, and demonstrate capabilities to clients. Applying advanced knowledge in cloud engineering, Docker, and Kubernetes will be essential to ensure optimized, scalable, and resilient solution architectures. Your soft skills will be crucial as you engage as a trusted technical advisor to clients, understanding their business needs and identifying technical value-add opportunities. Collaborating with sales and delivery teams to identify solution opportunities, support in creating proposals, and presenting solutions will also be part of your responsibilities. Establishing and monitoring key performance indicators for solutions, driving continuous improvements, and implementing remediation plans as needed will be key aspects of your role. With at least 10 years of experience in technology, including 5+ years architecting distributed systems and developing technology roadmaps for global enterprises, you should have a deep understanding of AI/ML and experience in implementing solutions. Your familiarity with LLMs, data engineering areas, proficiency with Python, REST, Java, Docker, Kubernetes, and cloud platforms will be essential to support containerization and cloud-native development. Demonstrated ability to lead end-to-end POC design, solution development, and client presentations, along with creating scalable, seamless integrations with existing systems, are also expected from you. Your strong interpersonal skills, proven ability to communicate complex technical concepts to both technical and non-technical audiences, skills in prioritization, and managing client relationships to ensure satisfaction and long-term partnership will set you up for success in this role.,

Position Summary: The AWS Engineer is responsible for end-to-end deployment, configuration, and reliability of AWS-based product demo environments, integrating GenAI pipelines and engineering practices. The role demands deep cloud infrastructure skills (ECS, Lambda, RDS, S3), automation (Terraform). This role is strictly involved in the development of the product and does not involve access to Protected Health Information (PHI) & Personally Identifiable Information (PII) or any secured/confidential client data. The work is limited to application development and does not include handling or processing of sensitive health information. Key Responsibilities: Architect, provision, and maintain AWS demo environments leveraging services such as EC2, ECS/Fargate, Lambda, S3, RDS, DynamoDB, IAM, KMS, API Gateway, CloudWatch, and AWS Glue. Build and maintain Terraform modules to automate environment provisioning, resets, and decommissioning. Integrate AWS GenAI solutions (Bedrock, SageMaker) for scenario automation, and real-time demo enrichment. Collaborate with Demo COE and Product SMEs to evaluate scenarios and implement custom flows. Implement RBAC, feature flag toggling, and configuration management via AWS Systems Manager and AppConfig. Ensure environmental health with automated monitoring, alerting, and load testing (CloudWatch, AWS Load Balancer, X-Ray). Support automated QA gates, metrics capture, and post-demo knowledge management. Provide secondary support for cloud engineering (AWS Glue, Redshift, Athena) for ingesting, transforming Contribute to hybrid cloud demos and integrations with Azure as needed. Qualifications: Minimum 5 years AWS engineering experience, with strong C# or Java or Python development. Terraform expertise for AWS IaC. Experience with GenAI or ML services (Bedrock, SageMaker, Lambda). Professional certification in AWS is preferred

You should have a minimum of 7 years of experience in Python application development, demonstrating a strong proficiency in the Python programming language and its ecosystem. Your solid understanding of software development principles, data structures, and algorithms will be essential for this role. Proficiency in relational databases like PostgreSQL, MySQL, and ORM libraries is required, along with experience using version control systems such as Git. Your strong problem-solving skills and ability to think algorithmically will be critical in tackling complex challenges. Excellent communication and interpersonal skills are a must, as you will be working effectively both independently and as part of a team in a fast-paced environment. Experience with cloud platforms like AWS and containerization technologies such as Docker and Kubernetes would be advantageous. Familiarity with Agile development methodologies, as well as ML/chatbot applications development, LangChain, OpenAI, or any other LLM models, will be beneficial for this role.,

As a Senior AI Engineer at Cerence AI, you will have the opportunity to be at the forefront of innovation in the transportation industry. Cerence AI is a global leader in AI for transportation, specializing in developing AI and voice-powered companions for vehicles to enhance the driving experience. With a strong presence in the automotive industry and partnerships with leading automakers, mobility providers, and technology companies, Cerence AI is dedicated to creating safer, more connected, and enjoyable journeys for drivers and passengers worldwide. Your role as a Senior AI Engineer will involve collaborating with cross-functional teams to integrate LLMs and ML algorithms into Cerence's AI automotive software solutions. You will work closely with software engineers, hardware engineers, and automotive OEMs to ensure seamless integration and compatibility with existing automotive systems. Conducting thorough testing and validation of LLM and ML algorithms will be essential to ensure high performance, reliability, and robustness in real-world automotive environments. To excel in this role, you should possess a Master's degree in Computer Science/Engineering, Artificial Intelligence, or a related field. A deep understanding of machine learning algorithms and techniques, along with practical experience in developing and optimizing LLM models, is required. Strong embedded programming skills in C/C++, experience with embedded development tools, and familiarity with automotive software development processes are also key qualifications. In addition to technical skills, you should have excellent problem-solving abilities, attention to detail, and the capacity to work effectively in a collaborative team environment. Strong communication skills will be essential for effectively conveying technical concepts to non-technical stakeholders. Keeping abreast of the latest advancements in LLM and ML technologies and contributing to research and innovation efforts within the company will be crucial aspects of your role. At Cerence AI, we offer a dynamic and supportive work environment with opportunities for career growth and development. Our culture is customer-centric, collaborative, and fast-paced, providing continuous learning opportunities for our employees. In addition to competitive compensation, we provide insurance coverage, paid time off, holidays, and equity-based awards for certain positions and levels. Remote and/or hybrid work options may be available depending on the position. Join us at Cerence AI and be part of a high-performing global team that is shaping the future of mobility through cutting-edge AI technology and innovation. This is your chance to have a significant impact in a dynamic industry and contribute to meaningful advancements in transportation user experiences. Apply now and embark on a moving experience with us at Cerence AI.,

At Relinns Technologies, we are dedicated to innovation, reliability, and speed. Founded by an IIM alumnus, we are a rapidly growing tech company that is breaking boundaries and creating cutting-edge solutions for esteemed global clients such as Apollo Tyres, Khatabook, and Manchester City Football Club. Our flagship product, BotPenguin, an AI-powered chatbot builder, is transforming customer engagement for businesses worldwide. We prioritize creating a culture of learning, collaboration, and ownership to ensure that every team member thrives in a supportive and intellectually stimulating work environment. With flexible working hours, team-building activities, and a passion-driven atmosphere, we empower our engineers to innovate, build, and grow professionally. BotPenguin is an advanced SaaS-based chatbot builder that uses AI-driven automation for seamless customer engagement. Our platform seamlessly integrates multiple channels and offers businesses a scalable, intuitive, and cost-effective chatbot solution. As a Product Technical Lead at Relinns Technologies, you will play a crucial role in bridging the gap between the product vision and technical execution. You will lead discussions on product architecture, define technical roadmaps, and guide engineering teams in delivering high-performance, scalable solutions for our AI chatbot platform, BotPenguin. In this high-impact role, you will need to demonstrate strategic thinking, hands-on development expertise, and leadership skills to align cross-functional teams towards the success of our product. You will collaborate closely with product managers, senior engineers, AI experts, and business stakeholders. Your responsibilities will include conducting code reviews, mentoring junior developers, and maintaining high software quality standards. This role presents exciting opportunities to develop impactful AI-driven solutions and shape the future of conversational automation. To qualify for this role, you should possess a Bachelor's degree in Computer Science, IT, or a related field, along with at least 5 years of experience in software engineering, including 2+ years in a technical leadership position. You should have proven experience in scalable system design, a solid understanding of MEAN/MERN Stack technologies, and expertise in software architecture planning and low-level design. Additionally, familiarity with cloud platforms like AWS, containerization tools like Docker and Kubernetes, and AI/ML concepts is essential. In this role, you will lead technical architecture design and roadmap planning for BotPenguin's core platform, collaborate with the Product Manager to align the product vision with technical execution, and work with engineering teams to translate product requirements into scalable solutions. You will design and develop core modules of the platform, enforce technical best practices, and ensure the performance, security, and scalability of applications across global deployments. Join us at Relinns Technologies to lead the architecture and evolution of a fast-growing AI product, be part of a cutting-edge AI startup, work with a passionate and talented team, enjoy ample learning opportunities, and experience a growth-oriented environment with top-tier global clients and projects. Embrace a flexible work schedule, a culture that promotes creativity and collaboration, and a commitment to work-life balance.,

As a Senior Full-Stack Developer (AI & SaaS) at our company located in Indore, you will play a crucial role in leading the development of Nebverse, a next-gen AI-powered ERP system. Your primary responsibilities will include architecting, developing, and scaling our SaaS-based ERP system that is integrated with DeepSeek AI for automation in HR, sales, and financial operations. To excel in this role, you must possess expertise in AI, cloud architecture, and scalable SaaS solutions. You will be leading a team of interns and junior developers to create a cutting-edge AI-driven ERP system from the ground up. Your key responsibilities will involve leading the end-to-end development of Nebverse SaaS ERP, architecting and implementing scalable APIs using Go Fiber/FastAPI, working on AI-driven automation for various functions, integrating DeepSeek AI for text, voice, and video interactions, implementing facial recognition and emotion detection for smart AI interactions, optimizing databases like PostgreSQL, Redis, and ClickHouse for high performance, deploying and managing applications on cloud platforms like AWS, Azure, or GCP, ensuring security, multi-tenancy, and cloud scaling for Nebverse, as well as training and mentoring interns on best development practices. In terms of technical skills, you should be proficient in backend technologies like Go Fiber/FastAPI, frontend technologies like React/Next.js, AI & NLP tools such as DeepSeek AI and OpenAI, databases like PostgreSQL, Redis, ClickHouse, DevOps & Cloud tools including AWS/Azure/GCP, Docker, Kubernetes, security & authentication mechanisms like OAuth, JWT, Role-Based Access Control, and version control & CI/CD tools like GitHub, GitLab, Jenkins. Additionally, soft skills such as strong leadership, mentoring abilities, problem-solving skills, analytical thinking, effective communication, documentation skills, and the ability to manage and collaborate with interns/junior developers will be essential for success in this role. If you are excited about working on cutting-edge AI & SaaS technologies, being part of a revolutionary ERP system, and leading and mentoring future tech talents, we encourage you to apply by sending your resume and portfolio to hr@qualitywebs.in with the subject line: Senior Developer - Nebverse. Join us for a competitive salary and growth opportunities.,

Job Description: Developing a software pipeline for end-to-end ML Model Inference for specific hardware accelerator by achieving maximum performance & accuracy. Implementing cutting edge deep learning layers for various model categories like CNN, RNN, LSTM, GANs, etc using customized inference pipeline for NN Processor. Performance optimization for inferencing the LLM Models in customized hardware with various layer types including transformer, encoder-decoder, etc based models. Hardware architecture aware and computation conscious implementation of solutions in an embedded device and maximize the throughput. Develop tools and applications by producing clean, efficient code. Identify, prioritize and execute tasks based on requirement. Implementation, Review, Debug code, Product Delivery and quick turn arounds. Collaborate with team to brainstorm and create new products. Mentor fresh joiners and foster team culture. Must-Have: BE/BTech/MS/MTech graduates with Computer science Engineering with 4+ yrs of experience. Solid programming experience in C/C++ with proven experience as Senior Software Engineer. Experience in implementing kernel intrinsics for Machine Learning or Computer Vision algorithms with a focus on optimization. Extensive experience in software development and project management. Strong analytical and problem-solving skills. Adaptable to execute complex tasks, under tight schedules and dynamic conditions. Familiarity with various operating systems (Linux, Mac OS, Windows). Ability to work independently and manage a team. Excellent organizational and leadership skills. Working knowledge on Deep Learning frameworks (Like ONNX, TensorFlow, PyTorch or Any Hardware Accelerator Software Pipeline Experience). Nice-to-Have: Knowledge in Python. Experience in managing team size of 4 or more. Experience Working in an Agile Environment. Experience in using automated testing frameworks.

At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Manager - AI / Gen AI Data and Analytics team is a multi-disciplinary technology team delivering client projects and solutions across Data Mining & Management, Visualization, Business Analytics, Automation and Statistical Insights and AI/GenAI. The assignments cover a wide range of countries and industry sectors. The opportunity We are looking for a manager -- AI/GenAI, proficient in Artificial Intelligence, Machine Learning, deep learning and LLM models for Generative AI, text analytics and Python Programming will be responsible for developing and delivering industry sectors (Financial services Consumer, product & Retail Healthcare & wellness Manufacturing Supply chain telecom Real Estate etc.) specific solutions which will be used to implement the EY SaT mergers and acquisition methodologies. Your key responsibilities Develop, review, and implement Solutions applying AI, Machine Learning, Deep Learning, and develop APIs using Python. Having relevant understanding of Big Data and Visualization would be one-upping. Lead the development and implementation of Generative AI applications using both open source (Llama, BERT, Dolly etc.) and closed source (Open AI GPT models, MS Azure Cognitive Services, Google's Palm, Cohere etc.) Large Language Models (LLMS). Extensively work with advanced models such as GPT-3.5, GPT 4, Llama, BERT etc, for natural language processing and creative content generation using contextual information. Design and optimize solutions leveraging Vector databases for efficient storage and retrieval of contextual data for LLMs. Understand Business and Sectors, ability to identify the whitespaces and opportunities for analytics application. Work and manage large to mid-size projects, and ensure smooth service delivery on assigned products, engagements and/or geographies. Work with project managers to study resource needs and gaps and devise alternative ways forward. Provide expert reviews for all projects within the assigned subject. Ability to communicate with cross functional/competencies teams. Go to Market / Stakeholder Management. . Skills and attributes for success Able to work creatively and systematically in a time-limited, problem-solving environment Loyal and reliable with high ethical standards Flexible, curious and creative, open for new things and able to propose innovative ideas Good interpersonal skills Team player, open, pleasure to work with and positive in a group dynamic Intercultural intelligence and experience of working in more than one country and/or multi-cultural teams with distributed delivery experience Ability to manage multiple priorities simultaneously to meet tight deadlines and drive projects to completion with minimal supervision To qualify for the role, you must have Experience of guiding teams on Projects focusing on AI/Data Science and Communicating results to clients Familiar in implementing solutions in Azure Cloud Framework Excellent Presentation Skills 9 - 14 years of relevant work experience in developing and implementing AI, Machine Learning Models- experience of deployment in Azure is preferred Experience in application of statistical techniques like Linear and Non-Linear Regression/classification/optimization, Forecasting and Text analytics. Familiarity with deep learning and machine learning algorithms and the use of popular AI/ML frameworks Minimum 4 years of experience in working with NLG, LLM, DL Techniques Relevant understanding of Deep Learning and neural network techniques Expertise in implementing applications using open source and proprietary LLM models Proficient in using Langchain-type orchestrators or similar Generative AI workflow management tools Minimum of 5-8 years of programming in Python Experience with the software development life cycle (SDLC) and principles of product development Willingness to mentor team members Solid thoughtfulness, technical and problem-solving skills Excellent written and verbal communication skills Ideally, you'll also have Ability to think strategically/end-to-end with result-oriented mindset Ability to build rapport within the firm and win the trust of clients Willingness to travel extensively and to work on client sites / practice office locations What we look for A Team of people with commercial acumen, technical experience and enthusiasm to learn new things in this fast-moving environment An opportunity to be a part of market-prominent, multi-disciplinary team of 3000 + professionals, in the only integrated global transaction business worldwide. Opportunities to work with EY SaT practices globally with prominent businesses across a range of industries What we offer EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations - Argentina, China, India, the Philippines, Poland and the UK - and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We'll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career. Continuous learning: You'll develop the mindset and skills to navigate whatever comes next. Success, as defined by you : We'll provide the tools and flexibility, so you can make a meaningful impact, your way. Transformative leadership : We'll give you the insights, coaching and confidence to be the leader the world needs. Diverse and inclusive culture: You'll be embraced for who you are and empowered to use your voice to help others find theirs. EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Assistant Director - AI / Gen AI Data and Analytics team is a multi-disciplinary technology team delivering client projects and solutions across Data Mining & Management, Visualization, Business Analytics, Automation and Statistical Insights and AI/GenAI. The assignments cover a wide range of countries and industry sectors. The opportunity We are looking for a Assistant Director - AI/GenAI, proficient in Artificial Intelligence, Machine Learning, deep learning and LLM models for Generative AI, text analytics and Python Programming will be responsible for developing and delivering industry sectors (Financial services Consumer, product & Retail Healthcare & wellness Manufacturing Supply chain telecom Real Estate etc.) specific solutions which will be used to implement the EY SaT mergers and acquisition methodologies. Your key responsibilities Develop, review, and implement Solutions applying AI, Machine Learning, Deep Learning, and develop APIs using Python. Having relevant understanding of Big Data and Visualization would be one-upping. Lead the development and implementation of Generative AI applications using both open source (Llama, BERT, Mistral, etc.) and closed source (Open AI GPT models, MS Azure Cognitive Services, Claude, Cohere etc.) Large Language Models (LLMS). Extensively work with advanced models such as GPT-3.5, GPT 4, Llama, BERT etc, for natural language processing and creative content generation using contextual information. Design and optimize solutions leveraging Vector databases for efficient storage and retrieval of contextual data for LLMs. Understand Business and Sectors, ability to identify the whitespaces and opportunities for analytics application. Work and manage large to mid-size projects, and ensure smooth service delivery on assigned products, engagements and/or geographies. Work with project managers to study resource needs and gaps and devise alternative ways forward. Provide expert reviews for all projects within the assigned subject. Ability to communicate with cross functional/competencies teams. Go to Market / Stakeholder Management. . Skills and attributes for success Able to work creatively and systematically in a time-limited, problem-solving environment Loyal and reliable with high ethical standards Flexible, curious and creative, open for new things and able to propose innovative ideas Good interpersonal skills Team player, open, pleasure to work with and positive in a group dynamic Intercultural intelligence and experience of working in more than one country and/or multi-cultural teams with distributed delivery experience Ability to manage multiple priorities simultaneously to meet tight deadlines and drive projects to completion with minimal supervision To qualify for the role, you must have Experience of guiding teams on Projects focusing on AI/Data Science and Communicating results to clients Familiar in implementing solutions in Azure Cloud Framework Excellent Presentation Skills 12 - 16 years of relevant work experience in developing and implementing AI, Machine Learning Models- experience of deployment in Azure is preferred Experience in application of statistical techniques like Linear and Non-Linear Regression/classification/optimization, Forecasting and Text analytics. Familiarity with deep learning and machine learning algorithms and the use of popular AI/ML frameworks Minimum 6 years of experience in working with NLG, LLM, DL Techniques Relevant understanding of Deep Learning and neural network techniques Expertise in implementing applications using open source and proprietary LLM models Proficient in using Langchain-type orchestrators or similar Generative AI workflow management tools Minimum of 6-9 years of programming in Python Experience with the software development life cycle (SDLC) and principles of product development Willingness to mentor team members Solid thoughtfulness, technical and problem-solving skills Excellent written and verbal communication skills Ideally, you'll also have Ability to think strategically/end-to-end with result-oriented mindset Ability to build rapport within the firm and win the trust of clients Willingness to travel extensively and to work on client sites / practice office locations What we look for A Team of people with commercial acumen, technical experience and enthusiasm to learn new things in this fast-moving environment An opportunity to be a part of market-prominent, multi-disciplinary team of 3000 + professionals, in the only integrated global transaction business worldwide. Opportunities to work with EY SaT practices globally with prominent businesses across a range of industries What we offer EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations - Argentina, China, India, the Philippines, Poland and the UK - and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We'll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career. Continuous learning : You'll develop the mindset and skills to navigate whatever comes next. Success, as defined by you : We'll provide the tools and flexibility, so you can make a meaningful impact, your way. Transformative leadership: We'll give you the insights, coaching and confidence to be the leader the world needs. Di verse and inclusive culture : You'll be embraced for who you are and empowered to use your voice to help others find theirs. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.