5 Genai Techniques Jobs

The Senior Data Scientist role in the S&C Global Network - AI - Hi Tech focuses on driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. As a skilled and experienced professional, you will provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. Your responsibilities will include developing and implementing AI models and GenAI applications in industries such as semiconductors, enterprise technology, consumer technology, and medical technology. You will collaborate with cross-functional teams to gather requirements, design solutions, and deploy models into production environments. Additionally, you will stay updated on emerging technologies and industry trends to contribute to continuous improvement initiatives within the organization. As a Senior Data Scientist, you will lead the design and delivery of client projects, focusing on areas such as marketing & consumer analytics, predictive asset maintenance, production optimization, supply chain, sales & channel partner program analytics, and connected products. Your role will involve creating industry-leading points-of-view in client domains to position the organization as a value partner. You will design and implement GenAI based solutions through contextual prompt engineering and prompt tuning, supporting solution architects on the design of GenAI-powered solutions/assets. Utilizing your expertise in PLM/ERP/CRM/Contact Center systems, you will integrate data sources and ensure seamless operation of AI solutions. Proficiency in Python programming, with experience in NLP and Computer Vision techniques, is essential for developing machine learning models. You will architect functional solutions, provide technical guidance to enhance the performance and scalability of AI systems, and leverage cloud platforms such as Azure/GCP and AWS. The ideal candidate for this role should possess relevant experience in the required domain, strong analytical and problem-solving skills, and the ability to work in a fast-paced, dynamic environment. A proven track record of developing AI models in various areas, proficiency in Python programming with NLP and Computer Vision experience, exposure to PLM/ERP/CRM systems, and familiarity with cloud platforms are key qualifications for this position. Knowledge of LLM exposure and experience with tools like ChatGPT, Llama 2, Claude 2, Hugging Face, etc., for prompt engineering and tuning will be advantageous. This role offers the opportunity to work on innovative projects and provides avenues for career growth and leadership exposure within Accenture. If you have a minimum of 5 to 8 years of experience and at least 15 years of education, we invite you to join our Hi-Tech practice in Bengaluru and contribute to driving impactful solutions in the AI domain.,

Job Description Job Title: Data Engineer Your Role: Design, create, test and maintain data pipeline architecture in collaboration with the Data Architect. Build the infrastructure required for extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS technologies. Support the translation of data needs into technical system requirements. Support in building complex queries required by the product teams. Build data pipelines that clean, transform, and aggregate data from disparate sources. Develop, maintain and optimize ETLs to increase data accuracy, data stability, data availability and pipeline performance. Engage with Product Management and Business to deploy and monitor products/services on cloud platforms. Stay up to date with advances in data persistence and big data technologies and run pilots to design the data architecture to scale with the increased data sets of consumer experience. Handle data integration, consolidation and reconciliation activities for digital consumer / medical products. You're the right fit if: Masters or Ph.D. in Computer Science, Electrical, Electronics Engineering or related field. Min. 4 yrs of experience in AI & Data Science field. Understanding of the state-of -the-art Computer vision, NLP, GenAI for Imaging algorithms. Experience in using GenAI techniques like Agentic frameworks, Auto encoders, Transformers, LLMs, RAG Architecture. Experience in CV based Deep Learning models like Unet, YOLO etc. Experience with Machine learning and deep learning frameworks like PyTorch , Tensorflow, OpenCV. Experience in Cloud deployment of AI algorithms. Application knowledge on Statistics skills such as distributions, statistical testing, regression, etc. Experience with one or more analytic software tools or languages like Python. Strong analytical, problem solving and communication skills. About Philips We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help the lives of others. u2022 Learn more about . u2022 Discover . u2022 Learn more about . If youu2019re interested in this role and have many, but not all, of the experiences needed, we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our culture of impact with care . #DIW #LI-PHILIN #PersonalHealth

About Us At Digilytics, we specialize in building and delivering user-friendly AI products tailored to the secured lending and consumer industry sectors. Unlike many other tech solutions, our approach is grounded in a thorough understanding of our clients" business dynamics and the factors that drive or hinder their success. Founded by Arindom Basu, Digilytics is led by a team deeply committed to leveraging cutting-edge technology for sustainable business growth. With a collective experience of over 50 years in technology-driven transformations, our leadership prioritizes values and long-term success. Currently, our primary focus is on developing RevEL, a groundbreaking product aimed at revolutionizing loan origination processes for mortgages and secured lending. Additionally, we are working on RevUP, a product designed to enhance trade sales for consumer industry clients such as auto and FMCG companies. About The Role The role we are offering involves a unique blend of business acumen, data science expertise, and proficiency in digital and analytics technologies to drive profitable growth. Key responsibilities include: - Understanding the underlying factors that contribute to or detract from business value - Utilizing data science techniques to extract insights from both internal and external data sources - Implementing digital and analytics technologies to create scalable and user-friendly solutions Digilytics is currently in the process of developing an AI-enabled product, RevEL, with a focus on enhancing credit lending operations for lenders in the UK and US markets, with plans for expansion to other regions in the future. We are seeking a talented individual with a passion for data science and python engineering, who possesses the skills to research, design, and deploy AI models using python and cloud-based technologies. The ideal candidate should be enthusiastic about contributing to a growing company and have relevant industry experience to make a meaningful impact on our platform and products. Skills The role requires a diverse skill set, and we are specifically looking for a strong communicator with extensive experience in data science techniques and python engineering. As part of the product engineering team, the successful candidate will: - Embrace the Digilytics vision and stay updated on the latest advancements in AI - Collaborate with the product engineering leader to architect and develop python-based applications - Demonstrate proficiency with tools such as Pytorch, Django/Flask, and API development - Be familiar with innovative techniques like Open Weighted LLM+RAG and Agentic AI MCP framework - Lead a team of data scientists and python developers to drive excellence across our global operations in India, UK, and US - Engage with various stakeholders and coordinate with teams across different regions Experience We are looking for a candidate with the following qualifications and experience: - Demonstrated ability to work in diverse organizational settings, ranging from small setups to larger corporations with multicultural exposure - Experience in managing teams of 10-15 resources - 5-7 years of hands-on experience in client-facing roles or technology product environments, with a focus on deploying models - Proficiency in software skills relevant to data science - Understanding of computational analysis, search, and machine learning techniques - Familiarity with analytics tools and landscape - Domain expertise in serving customers within the Financial Services sector - Proven track record of architecting machine learning pipelines for production environments Background Candidates for this role should possess the following educational background and qualifications: - Bachelor's degree or higher in Software Engineering or Computer Science, with a strong emphasis on python programming - Formal training in AI technologies and financial services domain will be advantageous Please note: The job description mentioned above is referenced from hirist.tech,

The Data Science Consultant position is a challenging opportunity for someone with 4-9 years of experience. In this role, you will be responsible for driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Your main responsibilities will include providing strategic advisory services, conducting market research, and developing data-driven recommendations to enhance business performance. We are looking for a skilled and experienced Data Scientist to join our Hi-Tech practice. The ideal candidate should have hands-on experience in data science within industries such as semiconductors, enterprise technology, consumer technology, and medical technology. As a Data Scientist, you will be tasked with developing AI models and applying GenAI techniques in various areas such as marketing & consumer analytics, predictive asset maintenance, production optimization, supply chain, sales & channel partner program analytics, and connected products. In this role, you will collaborate with cross-functional teams to gather requirements, design solutions, and deploy models into production environments. You will also be responsible for developing and implementing GenAI based solutions through contextual prompt engineering and prompt tuning, and supporting solution architects on the design of GenAI-powered solutions/assets. Utilizing your expertise in PLM/ERP/CRM/Contact Center systems to integrate data sources and ensure seamless operation of AI solutions will be a key part of your responsibilities. You will design and develop machine learning models using Python, with proficiency in NLP and Computer Vision techniques. Additionally, you will architect functional solutions and provide technical guidance to enhance the performance and scalability of AI systems. Experience with cloud platforms, particularly Azure/GCP, and familiarity with AWS will be beneficial in this role. It is essential to stay updated on emerging technologies and industry trends to contribute to continuous improvement initiatives within the organization. If you are seeking a challenging role that allows you to apply your data science skills and industry knowledge, this position is ideal for you.,

About the Team and Our Scope We are a forward-thinking tech organization within Swiss Re, delivering transformative AI/ML solutions that redefine how businesses operate. Our mission is to build intelligent, secure, and scalable systems that deliver real-time insights, automation, and high-impact user experiences to clients globally. You'll join a high-velocity AI/ML team working closely with product managers, architects, and engineers to create next-gen enterprise-grade solutions. Our team is built on a startup mindset - bias to action, fast iterations, and ruthless focus on value delivery. We're not only shaping the future of AI in business - we're shaping the future of talent. This role is ideal for someone passionate about advanced AI engineering today and curious about evolving into a product leadership role tomorrow. You'll get exposure to customer discovery, roadmap planning, and strategic decision-making alongside your technical contributions. Role Overview As an AI/ML Engineer, you will play a pivotal role in the research, development, and deployment of next-generation GenAI and machine learning solutions . Your scope will go beyond retrieval-augmented generation (RAG) to include areas such as prompt engineering, long-context LLM orchestration, multi-modal model integration (voice, text, image, PDF), and agent-based workflows. You will help assess trade-offs between RAG and context-native strategies, explore hybrid techniques, and build intelligent pipelines that blend structured and unstructured data. You'll work with technologies such as LLMs, vector databases, orchestration frameworks, prompt chaining libraries, and embedding models, embedding intelligence into complex, business-critical systems. This role sits at the intersection of rapid GenAI prototyping and rigorous enterprise deployment, giving you hands-on influence over both the technical stack and the emerging product direction. Key Responsibilities Build Next-Gen GenAI Pipelines : Design, implement, and optimize pipelines across RAG, prompt engineering, long-context input handling, and multi-modal processing. Prototype, Validate, Deploy : Rapidly test ideas through PoCs, validate performance against real-world business use cases, and industrialize successful patterns. Ingest, Enrich, Embed: Construct ingestion workflows including OCR, chunking, embeddings, and indexing into vector databases to unlock unstructured data. Integrate Seamlessly: Embed GenAI services into critical business workflows, balancing scalability, compliance, latency, and observability. Explore Hybrid Strategies: Combine RAG with context-native models, retrieval mechanisms, and agentic reasoning to build robust hybrid architectures. Drive Impact with Product Thinking : Collaborate with product managers and UX designers to shape user-centric solutions and understand business context. Ensure Enterprise-Grade Quality: Deliver solutions that are secure, compliant (e.g., GDPR), explainable, and resilient - especially in regulated environments. What Makes You a Fit Must-Have Technical Expertise Proven experience with GenAI techniques and LLMs , including RAG, long-context inference, prompt tuning, and multi-modal integration. Strong hands-on skills with Python , embedding models, and orchestration libraries (e.g., LangChain, Semantic Kernel, or equivalents). Comfort with MLOps practices , including version control, CI/CD pipelines, model monitoring, and reproducibility. Ability to operate independently, deliver iteratively, and challenge assumptions with data-driven insight. Understanding of vector search optimization and retrieval tuning. Exposure to multi-modal models Nice-To-Have Qualifications Experience building and operating AI systems in regulated industries (e.g., insurance, finance, healthcare). Familiarity with Azure AI ecosystem (e.g., Azure OpenAI, Azure AI Document Intelligence, Azure Cognitive Search) and deployment practices in cloud-native environments. Experience with agentic AI architectures , tools like AutoGen, or prompt chaining frameworks. Familiarity with data privacy and auditability principles in enterprise AI. Bonus: You Think Like a Product Manager While this role is technical at its core, we highly value candidates who are curious about how AI features become products . If you're excited by the idea of influencing roadmaps, shaping requirements, or owning end-to-end value delivery - we'll give you space to grow into it. This is a role where engineering and product are not silos . If you're keen to move in that direction, we'll mentor and support your evolution. Why Join Us You'll be part of a team that's pushing AI/ML into uncharted, high-value territory. We operate with urgency, autonomy, and deep collaboration. You'll prototype fast, deliver often, and see your work shape real-world outcomes - whether in underwriting, claims, or data orchestration. And if you're looking to transition from deep tech to product leadership , this role is a launchpad. Swiss Re is an equal opportunity employer . We celebrate diversity and are committed to creating an inclusive environment for all employees. Keywords: Reference Code: 134317