1443 Generative Ai Jobs - Page 20

: * Design, develop, and fine-tune Large Language Models (LLMs) for various in-house applications. * Implement and optimize Retrieval-Augmented Generation (RAG) techniques to enhance AI response quality. * Develop and deploy Agentic AI systems capable of autonomous decision-making and task execution. * Build and manage data pipelines for processing, transforming, and feeding structured/unstructured data into AI models. * Ensure scalability, performance, and security of AI-driven solutions in production environments. * Collaborate with cross-functional teams, including data engineers, software developers, and product managers. * Conduct experiments and evaluations to improve AI system accuracy and efficiency. * Stay updated with the latest advancements in AI/ML research, open-source models, and industry best practices. & : * Strong experience in LLM fine-tuning using frameworks like Hugging Face, DeepSpeed, or LoRA/PEFT. * Hands-on experience with RAG architectures, including vector databases (e.g., Pinecone, ChromaDB, Weaviate, OpenSearch, FAISS). * Experience in building AI agents using LangChain, LangGraph, CrewAI, AutoGPT, or similar frameworks. * Proficiency in Python and deep learning frameworks like PyTorch or TensorFlow. * Experience in Python web frameworks such as FastAPI, Django, or Flask. * Experience in designing and managing data pipelines using tools like Apache Airflow, Kafka, or Spark. * Knowledge of cloud platforms (AWS/GCP/Azure) and containerization technologies (Docker, Kubernetes). * Familiarity with LLM APIs (OpenAI, Anthropic, Mistral, Cohere, Llama, etc.) and their integration in applications. * Strong understanding of vector search, embedding models, and hybrid retrieval techniques. * Experience with optimizing inference and serving AI models in real-time production systems. -- : * Experience with multi-modal AI (text, image, audio). * Familiarity with privacy-preserving AI techniques and responsible AI frameworks. * Understanding of MLOps best practices, including model versioning, monitoring, and deployment automation.

As a Software Architect at Adobe, you will play a crucial role in defining and evolving the architectural vision and roadmap for our products. Your responsibilities will include ensuring alignment with business goals, providing proactive thought leadership, designing and overseeing the implementation of highly scalable distributed systems, driving the technical delivery of AI-powered features, exploring and implementing AI solutions, and fostering a culture of technical excellence and collaboration within the engineering organization. You will need a passion and love for what you do, along with 14+ years of experience in software development and 5+ years in a software architect role. Deep expertise in designing and implementing highly scalable architectures, proficiency in Java, Spring Boot, Rest Services, MySQL or Postgres, MongoDB, Kafka, and experience with cloud technologies such as AWS and/or Azure are essential. Additionally, a strong understanding of Artificial Intelligence (AI), particularly Generative AI (GenAI) and Agents, is required. The ideal candidate will be ambitious, thrive in a fast-paced environment, demonstrate a strong bias to action, and possess excellent interpersonal, analytical, problem-solving, and conflict resolution skills. Strong business acumen, self-motivation, and the ability to mentor a team towards high-quality deliverables are also key attributes. A Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field is necessary for this role. If you are looking to join a team of passionate engineers at Adobe, drive technical excellence, and contribute to shaping the technology stack of next-gen products and offerings, then this Software Architect position is perfect for you. Join us in our mission to transform how companies interact with customers across every screen and be part of a culture that values innovation, collaboration, and continuous learning.,

As the Subject Matter Expert for clients, you will serve as the primary point of contact for clients in Gen AI needs, including senior executives, to understand their requirements and provide customized generative AI solutions. You will be responsible for leading multiple generative AI projects, ensuring on-time delivery and high-quality results by defining project deliverables, timelines, and methodologies. Additionally, you will manage and mentor a team of AI specialists, creating a collaborative and innovative work environment. Your role will involve designing and implementing advanced generative AI models like GANs, VAEs, and transformer-based models to address intricate business challenges. You will also contribute to thought leadership in generative AI, offering strategic insights to drive innovation and best practices within the organization. It is essential to stay updated on the latest developments in generative AI and machine learning, integrating state-of-the-art technologies into projects. To qualify for this position, you should hold a Master's or PhD in computer science, engineering, mathematics, or related fields from esteemed institutions. With at least 8 years of experience in AI and machine learning, focusing on generative AI, deep learning, and NLP, you must have a proven track record of successfully delivering generative AI projects. Proficiency in Python, TensorFlow, PyTorch, Keras, and cloud platforms (AWS, Azure, GCP) is required, along with experience in large-scale data processing and model deployment. Relevant certifications in AI and machine learning, such as TensorFlow Developer Certificate, AWS Certified Machine Learning Specialty, or similar, are preferred but not mandatory. Demonstrated leadership skills, problem-solving abilities, and excellent communication and presentation skills are essential for this role. A deep understanding of industry trends and challenges in generative AI and machine learning will be advantageous.,

The ideal candidate will be responsible for gathering business challenges and documentation, collating and interpreting data, analyzing results using statistical techniques and tools. You will work with the team to prioritize business and information needs and present solutions and insights regarding the data. It will be your role to analyze data for trends and interpret data and patterns with a clear objective in mind. You should have an interest in working in a startup culture/ecosystem with a willingness to learn and a never-die attitude. The ability to work independently as well as part of a team is essential. Knowledge in AI/ML algorithms, working with large datasets and big data tools is required. Proficiency in SQL, Python, Excel functions, data concepts, and an in-depth understanding of modeling techniques is a must. Familiarity with NLP, LLM, Generative AI, and data visualization is preferred. Strong logical and problem-solving skills are necessary for this role. This is a full-time position with a day shift schedule and an in-person work location.,

The ML Solutions team within Markets OPS Technology is dedicated to developing solutions using Artificial Intelligence, Machine Learning, and Generative AI. This team is a leader in creating new ideas, innovative technology solutions, and ground-breaking solutions for Markets Operations and Other Line of Businesses. We work closely with our clients and business partners to progress solutions from ideation to production by leveraging the entrepreneurial spirit and technological excellence. The ML Solutions team is seeking a Data Scientist/Machine Learning Engineer to drive the design, development, and deployment of innovative AI/ML and GenAI-based solutions. In this hands-on role, you will leverage your expertise to create a variety of AI models, guiding a team from initial concept to successful production. A key aspect involves mentoring team members and fostering their growth. You will collaborate closely with business partners and stakeholders, championing the adoption of these advanced technologies to enhance client experiences, deliver tangible value to our customers, and ensure adherence to regulatory requirements through cutting-edge technical solutions. This position offers a unique opportunity to shape the future of our AI initiatives and make a significant impact on the organization. Key Responsibilities: - Hands-On Execution and Delivery: Actively contribute to the development and delivery of AI solutions, driving innovation and excellence within the team. Take a hands-on approach to ensure AI models are successfully deployed into production environments, meeting high-quality standards and performance benchmarks. - Mentoring Young Talents: Mentoring team, guiding data analysts/ML engineers from concept to production. This involves fostering technical growth, providing project oversight, and ensuring adherence to best practices, ultimately building a high-performing and innovative team. - Quality Control: Ensure the quality and performance of generative AI models, conducting rigorous testing and evaluation. - Research and Development: Participate in research activities to explore and advance state-of-the-art generative AI techniques. Stay actively engaged in monitoring ongoing research efforts, keeping abreast of emerging trends, and ensuring that the Generative AI team remains at the forefront of the field. - Cross-Functional Collaboration: Collaborate effectively with various teams, including product managers, engineers, and data scientists, to integrate AI technologies into products and services. Skills & Qualifications: - 8 to 13 years of Strong hands-on experience in Machine Learning, delivering complex solutions to production. - Experience with Generative AI technologies essential. - Understanding of concepts like supervised, unsupervised, clustering, embedding. - Knowledge of NLP, Name Entity Recognition, Computer Vision, Transformers, Large Language Models. - In-depth knowledge of deep learning and Generative AI frameworks such as, Langchain, Lang Graph, Crew AI or similar. - Experience with and other open-source frameworks/ libraries/ APIs like Hugging Face Transformers, Spacy, Pandas, scikit-learn, NumPy, OpenCV. - Experience in using Machine Learning/Deep Learning: XGBoost, LightGBM, TensorFlow, PyTorch, Keras. - Proficiency in Python Software Development, following Object-Oriented design patterns and best practices. - Strong background in mathematics: linear algebra, probability, statistics, and optimization. - Experience with evaluation, scoring with a framework like ML Flow - Experience of Docker container and edited a Docker file, experience with K8s is a plus. - Experience with Postgres and Vector DBs a plus. - Excellent problem-solving skills and the ability to think creatively. - Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams - Publications and contributions to the AI research community are a plus. - Masters degree/Ph. D. or equivalent experience in Computer Science, Data Science, Statistics, or a related field. - 8-12 years of experience This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.,

As an AI/ML Engineer, you will be responsible for designing, developing, and implementing AI/ML solutions, focusing on Generative AI and Natural Language Processing applications. Your primary tasks will include building and deploying intelligent Chatbot applications using advanced NLP techniques. You will write clean, efficient, and maintainable code in Python for core AI/ML development. Integration of AI/ML models and applications with cloud services, particularly gaining practical exposure to AWS, will be a crucial aspect of your role. Working with and integrating AI/ML solutions with the Veeva Vault platform is mandatory for this position. You will need to apply AI/ML and Generative AI techniques to address complex problems within the life sciences & healthcare domains. Collaboration with cross-functional teams to define requirements, design system architecture, and deliver cutting-edge AI-driven products is essential. Your involvement in the entire machine learning lifecycle, from data exploration and model development to deployment and monitoring, will be significant. It is imperative to stay updated with the latest advancements in AI, ML, NLP, and Generative AI technologies. Troubleshooting and optimizing AI/ML models and integration points for performance and scalability will also be part of your responsibilities. For this role, we are looking for candidates with 3-5 years of relevant experience in AIML engineering. Deep knowledge of Natural Language Processing (NLP) and Generative AI models is required. Strong proficiency in Python programming, proven experience in chatbot development, and practical exposure to AWS or other major cloud services are essential qualifications. Solid working knowledge of Veeva Vault is mandatory. A problem-solving mindset with the ability to innovate and a collaborative team player are traits that we value in potential candidates.,

You will be joining Scouto, a company that is revolutionizing recruitment through the use of an autonomous AI recruiter. The AI recruiter is capable of sourcing, conducting outreach, video screening, ranking, and scheduling candidates without any human intervention. The primary objective at Scouto is to simplify and accelerate the hiring process by leveraging AI technology. As a rapidly growing startup with substantial traction and a robust AI foundation, we are seeking individuals who are enthusiastic about working at the intersection of AI, automation, product development, and business expansion. In this role as a founding AI Generalist at Scouto, you will be responsible for a diverse set of tasks encompassing AI-driven operations and automation, customer support and success, sales support including demos and upsell strategies, as well as providing product insights and feedback loops. This position offers a dynamic and cross-functional environment suited for individuals who excel in ambiguous situations, enjoy building projects from the ground up, and possess a passion for leveraging AI tools to tackle real-world challenges. Your key responsibilities will include identifying repetitive processes within customer support, internal operations, and sales, and subsequently automating them using AI tools, APIs, and no-code platforms. Additionally, you will engage with customers to address support tickets, facilitate onboarding, and ensure ongoing satisfaction. Your role will also involve translating customer feedback into actionable product enhancements, collaborating with product and engineering teams to prototype new features, assisting in sales activities, and identifying opportunities for upselling while contributing to the enhancement of the sales process through AI and automation. To excel in this role, you should be well-versed in LLMs, prompt engineering, and no-code AI tools, possess a sales and growth-oriented mindset, be comfortable with pitching and customer demos, and have a solid understanding of revenue growth strategies. Technical proficiency in working with APIs, automation platforms (such as Zapier, Make, Retool), and basic scripting skills would be advantageous. Furthermore, a customer-centric approach, proactive nature, and adaptability to a fast-paced startup environment are essential qualities for success in this position. Prior experience in SaaS, AI startups, customer success, sales engineering, or product operations would be beneficial. Joining Scouto offers you the opportunity to be part of a pioneering team that is shaping the future of AI in the recruitment domain. You will collaborate closely with the founder and core team, gaining substantial exposure and the chance to evolve into a leadership position in success, growth, or operations. The position also provides competitive compensation, a flexible work environment, and the autonomy to define and mold your role according to your strengths and interests.,

As a founding Associate Product Manager at Scouto, you will play a crucial role in redefining recruitment with our autonomous AI recruiter. You will be responsible for various aspects such as product insights & feedback loops, AI-driven operations & automation, customer support & success, as well as demos & revenue expansion. This is a cross-functional, hands-on role that requires you to thrive in ambiguity, enjoy building from scratch, and leverage AI tools to solve real-world problems at scale. Your responsibilities will include translating customer conversations, ticket patterns, and usage signals into clear product problems and opportunity briefs. You will partner with engineering to prototype, experiment, and ship improvements while maintaining a customer-validated backlog and assisting with prioritization rituals. Additionally, you will engage with customers to resolve support tickets, guide onboarding, and ensure satisfaction. Acting as a technical liaison between customers and engineering will be essential in reproducing issues and capturing context for faster fixes. Identifying repetitive processes and automating them using AI tools, APIs, and platforms like Zapier and Retool will be a significant part of your role. You will also contribute to revenue growth through sales support, upsell opportunities, and improving the sales process with AI and automation. Your ability to work with APIs, automation platforms, and your customer-first thinking will be crucial in driving success in this role. The prerequisites for this position include familiarity with LLMs, prompt engineering, and no-code AI tools, as well as a product and growth orientation. Technical comfort with APIs, automation platforms, and basic scripting is a plus, along with a deep empathy for customers and a proactive, self-directed mindset. Prior experience in SaaS, AI startups, customer success, or sales engineering will be beneficial, as well as active involvement in AI communities and familiarity with building and automating internal processes. Joining Scouto offers you the opportunity to be part of a founding team that is shaping the future of AI in hiring. You will work directly with the founder and core team, gaining massive exposure and the chance to grow into a leadership role. Competitive compensation, a flexible work setup, and the opportunity to shape your own role make this an exciting opportunity for individuals passionate about customer success management, AI tools, automation, and product management.,

As a Product Manager at BigStep, you will be responsible for leading the development and execution of cutting-edge Generative AI, AI/ML, and data-driven products. With over 6 years of experience in this field, your role will require strong product leadership skills, technical fluency, and the ability to collaborate with cross-functional teams to drive innovation and deliver high-impact solutions across various industries. Your key responsibilities will include defining and driving the product vision, roadmap, and execution strategy for Gen AI/ML products. You will collaborate with engineering, data science, UX, and business teams to translate complex problems into impactful AI solutions. Additionally, you will lead the end-to-end product lifecycle from discovery and experimentation to launch, iteration, and scale. Your role will also involve guiding API development and system integrations to build scalable, intelligent product experiences and managing and prioritizing the product backlog in JIRA. To excel in this role, you should have 9-11 years of product management experience with a focus on AI/ML or Generative AI domains. You should have a proven track record of working with AI, Machine Learning, LLMs, and NLP teams in a product leadership capacity. A solid understanding of the AI/ML product development lifecycle, experimentation, data analytics, and model evaluation is essential. Experience with vector databases, retrieval-augmented generation (RAG), prompt engineering, or agentic workflows would be a strong plus. Proficiency in Agile methodologies, JIRA, and sprint planning processes is also required. You should have strong analytical skills and the ability to use data-driven insights to inform decision-making. Excellent written and verbal communication skills are crucial for aligning and influencing stakeholders across technical and non-technical teams. Operating in a fast-paced, research-oriented environment with evolving priorities should be comfortable for you. If you are passionate about driving innovation in AI/ML products, collaborating with diverse teams, and delivering high-impact solutions, this role at BigStep is the perfect opportunity for you.,

As an Engineering Lead at Aithon Solutions, a dynamic organization specializing in operations and technology solutions for the alternative asset management sector, you will play a pivotal role in steering the development of our Generative AI products. Your primary mandate will involve overseeing the entire product lifecycle to ensure scalability, top-notch performance, and continuous innovation. Collaborating with diverse teams, you will champion engineering excellence and cultivate a culture that thrives on high performance. Your role demands a profound understanding of AI/ML, proficiency in Python coding, expertise in distributed systems, cloud architectures, and contemporary software engineering practices. Moreover, hands-on coding experience is crucial for this position, ensuring a comprehensive grasp of the technical landscape you will be navigating. Key Responsibilities: - **Technical Leadership & Strategy:** Craft and execute the technology roadmap for our Generative AI products, aligning technological advancements with overarching business objectives. - **AI/ML Product Development:** Drive the development of AI-powered products, fine-tuning models for optimal performance, scalability, and real-world applicability. - **Engineering Excellence:** Establish industry best practices in software development, DevOps, MLOps, and cloud-native architectures to foster a culture of continuous improvement. - **Team Leadership & Scaling:** Recruit, mentor, and supervise a proficient engineering team, nurturing a culture characterized by innovation and collaborative spirit. - **Cross-Functional Collaboration:** Collaborate closely with Product, Data Science, and Business teams to translate cutting-edge AI research into practical applications. - **Scalability & Performance Optimization:** Architect and enhance distributed systems to ensure the efficient deployment of AI models across cloud and edge environments. - **Security & Compliance:** Implement robust frameworks for AI ethics, data security, and compliance with industry standards and regulations. Qualifications & Skills: - Demonstrable experience of at least 12 years in software engineering, with a minimum of 3 years in leadership positions within AI-focused enterprises. - Profound expertise in Generative AI, Deep Learning, NLP, Computer Vision, and model deployment. - Hands-on familiarity with ML frameworks and leading cloud platforms such as AWS, GCP, and Azure. - Proven track record of scaling AI/ML infrastructure and optimizing models for superior performance and cost-effectiveness. - Comprehensive understanding of distributed systems, cloud-native architectures, and microservices. - Proficiency in MLOps, CI/CD, and DevOps practices. - Strong problem-solving acumen, strategic thinking, and adept stakeholder management skills. - Ability to attract, nurture, and retain top engineering talent in a competitive marketplace. Why Join Us - Lead a forward-thinking team at the forefront of Generative AI innovation. - Contribute to the development of scalable, high-impact AI products that are shaping the future of technology. - Embrace a truly entrepreneurial culture that champions imagination, innovation, and teamwork. - Collaborate with a high-caliber, collaborative team dedicated to driving excellence in the tech industry.,

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. We are seeking a highly skilled and dynamic AI/ML Engineer with a robust skill set in Generative AI, machine learning, and expertise in programming languages such as Python and Go. The ideal candidate will have a deep understanding of SAP BTP, including hands-on experience with SAP BTP AI Core, AI Launchpad services, and the GenAI Hub. The role requires a professional who is adept at prompt engineering and has experience in developing large language models (LLMs). Experience with SAP BTP AI Business services is add-on to drive innovation and implement AI solutions that align with business objectives. Utilize SAP BTP AI Core and AI Launchpad services to deploy and manage AI solutions. Collaborate with cross-functional teams to integrate AI/ML solutions into SAP BTP environments. Design and implement AI/ML models, with a focus on generative AI techniques and large language models. Develop and maintain scalable and robust applications using Python and Go programming languages. Engage in prompt engineering to fine-tune LLMs for specific use cases and ensure optimal performance. Stay abreast of the latest advancements in AI/ML and SAP BTP to continuously improve our offerings. Provide technical expertise and support for SAP BTP AI Business services to enhance business processes. Document and present AI/ML project results to stakeholders and provide actionable insights. Qualifications: - Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. - 1-2 years of experience in AI/ML, with a focus on generative AI and LLM development. - Solid understanding of SAP BTP, including experience with SAP BTP AI Core, AI Launchpad services, and GenAI Hub. - Proficiency in Python and Go programming languages. - Familiarity with SAP BTP AI Business services and their application in enterprise settings. - Strong analytical and problem-solving skills. - Excellent communication and collaboration abilities. - Self-motivated with a passion for AI innovation and a drive to deliver results. 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.,

You should have knowledge of architectural design patterns, performance tuning, database, and functional designs. Hands-on experience in Service Oriented Architecture is essential. You should be capable of leading solution development and delivery for design solutions. Experience in designing high-level and low-level documents is a plus. A good understanding of SDLC is necessary. Awareness of the latest technologies and trends is expected. Logical thinking, problem-solving skills, and the ability to collaborate are crucial. You must be able to use design patterns to make applications reliable, scalable, and highly available. Designing Microservices and Serverless based architecture should be within your capabilities. Collaboration with client architects to define top-notch solutions in Python, Generative AI, Azure Open AI, GIS is required. As a part of the Infosys delivery team, your primary responsibility will be to ensure effective Design, Development, Validation, and Support activities to guarantee high levels of service satisfaction among clients in the technology domain. Gathering requirements and specifications to understand client needs in detail and translating them into system requirements will be a key part of your role. You will also play a crucial role in estimating work requirements accurately to provide project estimations to Technology Leads and Project Managers. Your contribution to building efficient programs/systems will be significant. If you believe you possess the necessary skills to assist clients in their digital transformation journey, this opportunity is for you! Excellent verbal and written communication skills are necessary. Experience in leading teams technically, effective communication with remote teams, high flexibility to travel, strong analytical and logical skills, and team-leading abilities are essential. Engaging in business development and maintaining client relationships will also be part of your responsibilities.,

The Senior Technical Architect, Generative AI and Agent Factory, plays a key role in leading the architecture, design, and strategic enablement of PepsiCo's enterprise-grade GenAI platforms including PepGenX, Agent Factory, and PepVigil. You will define scalable, event-driven agent orchestration frameworks, modular agent templates, and integration patterns to enable intelligent, governed, and reusable agent ecosystems. This position is vital in accelerating the deployment of AI-driven solutions across commercial, reporting, and enterprise automation use cases. Your responsibilities will include architecting and governing the design of scalable, modular AI agent frameworks for enterprise-wide reuse. You will define event-driven orchestration and agentic execution patterns to enable intelligent, context-aware workflows. Additionally, you will drive platform integration across PepGenX, Agent Factory, and PepVigil to ensure consistency in observability, security, and orchestration patterns. Developing reusable agent templates, blueprints, and context frameworks to accelerate use case onboarding across domains will also be a key aspect of your role. You will establish architecture standards to embed Responsible AI (RAI), data privacy, and policy enforcement within GenAI agents, as well as lead technical architecture planning across delivery sprints, vendor integration tracks, and GenAI product releases. Qualifications: - Bachelor's or Master's degree in Computer Science, Engineering, or a related field - 12+ years of experience in enterprise software or AI architecture roles, with a recent focus on LLMs, Generative AI, or intelligent agents - Proven experience in designing and implementing agent-based frameworks or AI orchestration platforms - Strong understanding of technologies such as LangGraph, Temporal, vector databases, multimodal RAGs, event-driven systems, and memory management - Hands-on experience with Kubernetes, Azure AI/AKS, REST APIs, and observability stacks - Demonstrated ability to influence enterprise architecture and guide cross-functional engineering teams - Excellent communication skills, with the ability to articulate complex technical concepts to diverse stakeholders.,

Qualcomm India Private Limited is looking for a Lead Conversational AI Developer to join the Intelligent Automation Center (IAC) team. As a Lead Conversational AI Developer, you will be responsible for designing and implementing Conversational AI solutions using Microsoft Azure and Copilot Stack in combination with GenAI. You should have hands-on experience with Microsoft Copilot Studio, Microsoft Bot Framework, NLP, Azure AI Search, and Azure OpenAI. Additionally, you will be utilizing Generative AI in projects and should have a strong expertise in Python for building bot solutions. Furthermore, you will be working with Azure Cognitive Services, Power Automate, Azure Logic Apps, and APIs to enhance Copilot Agent and bot functionalities. You should have experience in software development focusing on Conversational AI and Machine Learning. Proficiency with tools and Frameworks such as LangChain, LlamaIndex, and Streamlit is required. Knowledge and implementation experience of chatbot technologies using Microsoft Azure Services and Power Platform is also essential. Responsibilities include ensuring the quality of coded components through unit testing, collaborating with test teams for product testing and UAT, reporting status, issues, and risks to tech leads, improving skills in automation products through certifications, and training team members on Conversational AI related technologies. You should be able to work independently with minimal supervision, possess good team management skills, and have excellent communication and collaboration skills. Minimum qualifications include 4+ years of work experience in programming, scripting, and/or automation with a Bachelor's degree or 6+ years of relevant work experience without a Bachelor's degree. Additionally, you should have 2+ years of experience with Database Design structures such as Mongo DB and MySQL. Knowledge of conversational AI, Intelligent Automation methodologies, Process Mining concepts, and experience in business process diagrams and process flow charts are required. Applicants should have a Bachelor's degree and at least 5 years of IT-relevant work experience. Certification in Industry Leading Robotic Automation products, experience in Agile development, and cloud experience are considered a plus. Qualcomm is an equal opportunity employer committed to providing accessible processes for individuals with disabilities. If you require accommodations during the application/hiring process, please contact Qualcomm.,

The Data Science Analyst is a developing professional role within GWFO team. This role applies specialized knowledge in machine learning, statistical modeling, and data analysis to monitor, assess, analyze, and evaluate processes and data. You will identify opportunities to leverage advanced analytics to improve business outcomes, automate processes, and generate actionable insights. Additionally, you will contribute to the development and deployment of innovative AI solutions, including generative AI and agentic AI applications. Working with cross-functional stakeholders, you will gather and process operational data to examine past business performance and identify areas for improvement. Utilizing machine learning techniques, you will identify data patterns and trends, providing insights to enhance business decision-making capabilities in various areas such as business planning, process improvement, and solution assessment. Your responsibilities will include developing and implementing machine learning models for predictive analytics, forecasting, and optimization. You will design, build, and deploy Generative AI solutions to enhance customer experience, automate tasks, and personalize interactions. Furthermore, you will experiment with agentic AI frameworks to create autonomous systems that can learn, adapt, and solve complex problems. Developing tools and techniques to evaluate the performance and impact of AI solutions will be part of your role. You will translate data into consumer or customer behavioral insights to drive targeting and segmentation strategies, communicating findings clearly and effectively to business partners and senior leaders. Continuous improvement is key, and you will explore and evaluate new data sources, tools, and capabilities with a focus on cutting-edge AI technologies. Collaboration with internal and external business partners in building, implementing, tracking, and improving decision strategies will be essential. As a successful candidate, you should ideally have 7+ years of relevant experience in data science, machine learning, or a related field. You should possess advanced process management skills, be organized and detail-oriented, and have a curious mindset for learning and developing new skill sets, particularly in artificial intelligence. Strong programming skills in Python and proficiency in relevant data science libraries such as scikit-learn, TensorFlow, PyTorch, and Transformers are required. Experience with statistical modeling techniques, GenAI solutions, agentic AI frameworks, and data visualization tools like Tableau or Power BI is beneficial. Other essential skills include strong logical reasoning capabilities, willingness to learn new skills, and good communication and presentation skills. A Bachelors/University degree or equivalent experience is necessary for this role.,

As a Senior ML/AI Engineer at our Technology Innovation Lab, you will be a key member of a cross-disciplinary team dedicated to advancing AI and intelligent automation at HERE. Your primary responsibility will be to develop cutting-edge machine learning systems that leverage Agentic AI, Generative AI, and foundational ML techniques to drive the next generation of applications. Collaborating closely with technical leads, researchers, and engineers, you will prototype solutions to address real-world spatial, operational, and knowledge-driven challenges. Your role will involve architecting and implementing AI-first systems using technologies such as Large Language Models (LLMs), Autonomous Multi-Agent Architectures, and Classical ML models like regression, clustering, XGBoost, SVM, and tree-based learners. Leading the development of Agentic AI solutions will be a core aspect of your role, encompassing tasks such as orchestration, memory/context management, tool invocation, and human-agent collaboration. You will also be responsible for designing and delivering end-to-end Generative AI applications for various purposes including text generation, summarization, code synthesis, image generation, and multi-modal interfaces. Your expertise in deep learning techniques, including CNNs, RNNs (LSTM, GRU), GANs, Diffusion Models, Transformers, and Graph Neural Networks, will be crucial for tackling real-world tasks in vision, language, and planning. You will collaborate across teams to translate domain-specific problems into scalable, explainable, and production-ready AI solutions while incorporating responsible AI principles. Staying at the forefront of AI research will be essential, as you evaluate and implement emerging LLM models, agentic frameworks, and open-source innovations to ensure technical currency in this rapidly evolving field. You will also design and lead experiments across advanced AI/ML areas, encompassing computer vision, NLP, LLMs, and emerging domains like quantum computing, distributed computing, 3D modeling, AR/VR, and LiDAR/drone data processing. Writing efficient, production-quality code using Python and leveraging frameworks like PyTorch, TensorFlow, and Spark for large-scale ML training and inference will be part of your daily tasks. Defining and tracking KPIs at both individual and business unit levels, in collaboration with your manager, will ensure that your work drives impactful innovation. Supporting and mentoring engineers and data scientists in best practices related to prompt design, agent workflows, evaluation frameworks, and research translation will also be part of your responsibilities. Additionally, contributing to HERE's innovation footprint through patents, internal IP development, and peer-reviewed publications will be encouraged. To qualify for this role, you should hold a Master's degree or Ph.D. in Computer Science, AI/ML, Mathematics, or a related field. Candidates with a Master's degree should have 5-7 years of experience, while Ph.D. holders may have 3-5 years of relevant experience. A strong understanding of ML fundamentals, hands-on experience with deep learning architectures, proficiency in Python, and familiarity with ML frameworks are essential qualifications. Curiosity and exposure to adjacent technologies like TinyML, Quantum Computing, or 3D modeling/AR will be considered advantageous. At HERE Technologies, we are a location data and technology platform company dedicated to empowering our customers and making a positive impact on people's lives. If you are passionate about driving innovation and creating positive change in an open world, we invite you to join us on this exciting journey.,

You have a great opportunity as a Sr Product Owner focusing on Generative AI technologies such as LLMs and LIMs. Your role will involve collaborating with cross-functional teams in India including engineering, data science, QE, and analytics. Additionally, you will be working closely with the product and creative teams based in the US to ensure seamless coordination and innovation. As a Product Owner, you will be responsible for monitoring product adoption, collecting post-launch feedback, and utilizing these insights to drive future product enhancements. Your strategic acumen will be crucial in maintaining and prioritizing the product backlog in alignment with organizational goals. An integral part of your role will be updating internal stakeholders on the progress of product development, identifying challenges, and seizing opportunities. You will drive innovation and experimentation in product features, leveraging data-driven insights to make informed decisions. Furthermore, you will collaborate with the data science team to evaluate output quality and model performance regularly. Your comfort with working in an onshore/offshore model will be beneficial in this dynamic and impactful position.,

As a NLP & Generative AI Engineer at Gigaforce, you will be part of our dynamic AI/ML team based in Noida, working on cutting-edge technologies to revolutionize the insurance claims processing industry. We are a California-based InsurTech company with a strong focus on innovation and digital transformation in the Property and Casualty sector. You must have a minimum of 2 years of hands-on experience in traditional machine learning, natural language processing, and modern generative AI techniques to be considered for this role. We are looking for individuals who are passionate about deploying GenAI solutions to production, working with open-source technologies, and handling document-centric pipelines efficiently. Your main responsibilities will include building and deploying NLP and GenAI-driven products focusing on document understanding, summarization, classification, and retrieval. You will be designing and implementing models using LLMs such as GPT, T5, and BERT, along with working on scalable, cloud-based pipelines for training, serving, and monitoring models. Collaboration is key at Gigaforce, and you will work closely with cross-functional teams including data scientists, ML engineers, product managers, and developers. Additionally, you will contribute to open-source tools and frameworks in the ML ecosystem, deploying production-ready solutions using MLOps practices, and working on distributed/cloud systems with GPU-accelerated workflows. To be successful in this role, you should have a strong grasp of traditional ML algorithms, NLP fundamentals, and modern NLP & GenAI models. Proficiency in Python, experience with cloud platforms like AWS SageMaker, GCP, or Azure ML, and familiarity with MLOps tools and distributed computing are essential. Experience with document processing pipelines and understanding insurance-related documents is a plus. If you are looking for a challenging role where you can lead the design, development, and deployment of innovative AI/ML solutions in the insurance industry, then this position at Gigaforce is the perfect opportunity for you. Join us in our mission to transform the claims lifecycle into an intelligent, end-to-end digital experience.,

Deliver genAI features, AI Agents and Product Infra features e2e on AWS or Azure Cloud Demonstrate resilience in driving past rigorous test cycles to verify success of genAI features. Leverage Copilot/Cursor to maximize efficiency in dev cycle Required Candidate profile 5+ y SW dev. in Python, AWS or Azure 1+ y - LLM APIs, Prompt Eng, RAG, Self Learning AI Agents, Embeddings, Vector DBs, Langgraph, Langchain (Desirable) Exp in NLP, AI/ML FWs: TensorFlow, SageMaker

Candidate Candidate LTIMindtree Hiring for Data Scientist (GEN AI) Location: Pan India Experience: 8 to 16 years Mandatory Skills - Data Scientist, Machine Learning, Deep learning, GEN AINotice Period - Immediate to 45 days of NP Job Description : Job descriptionWe are looking for a highly skilled and results-driven Experienced Data Scientist to be at the forefront of developing and implementing Generative AI solutions that address critical business challenges and unlock new opportunities. This individual will leverage their deep expertise in data science, machine learning, and specifically Generative AI techniques to drive impactful projects from ideation to deployment. They will develop AI & ML solutions to tackle complex business challenges and facilitate data-driven decision-making through hands-on work with large datasets and strong collaboration with cross-functional teams to deliver significant results. Responsibilities: Data Handling & Preparation: Work with diverse and large-scale datasets. Perform data cleaning, preprocessing, feature engineering, and create synthetic datasets as needed for training and evaluating Generative AI models. Ensure data quality and integrity throughout the model development lifecycle. Model Optimization & Deployment: Optimize Generative AI models for performance, scalability, efficiency, and responsible AI considerations (bias detection and mitigation, hallucination reduction). Collaborate with Machine Learning Engineers and DevOps teams to deploy models into production environments and establish monitoring frameworks. Prompt Engineering & Fine-tuning: Develop effective prompts and fine-tuning strategies for Large Language Models to achieve desired outputs and adapt models to specific domains and tasks. Generative AI Model Development & Implementation: Design, develop, train, fine-tune, and deploy various Generative AI models, including but not limited to Large Language Models (LLMs), diffusion models, Generative Adversarial Networks (GANs), and Variational Autoencoders (VAEs), for applications If Interested , Kindly share me your updated CV with below details - Pramoth@ltimindtree.com Candidate Name - Candidate Email ID - Candidate Mobile Number - Total Years of IT experience - Relevant Years of Data Scientist Experience - Current CTC - Expected CTC - Any Offers in hand or Pipeline - Notice Period (If serving then LWD)-

Inviting applications for the role of Lead Consultant-Data Scientists with AI and Generative Model experience! We are currently looking for a talented and experienced Data Scientist with a strong background in AI, specifically in building generative AI models using large language models, to join our team. This individual will play a crucial role in developing and implementing data-driven solutions, AI-powered applications, and generative models that will help us stay ahead of the competition and achieve our ambitious goals. Responsibilities Collaborate with cross-functional teams to identify, analyze, and interpret complex datasets to develop actionable insights and drive data-driven decision-making. Design, develop, and implement advanced statistical models, machine learning algorithms, AI applications, and generative models using large language models such as GPT-3, BERT and also frameworks like RAG, Knowledge Graphs etc. Communicate findings and insights to both technical and non-technical stakeholders through clear and concise presentations, reports, and visualizations. Continuously monitor and assess the performance of AI models, generative models, and data-driven solutions, refining and optimizing them as needed. Stay up-to-date with the latest industry trends, tools, and technologies in data science, AI, and generative models, and apply this knowledge to improve existing solutions and develop new ones. Mentor and guide junior team members, helping to develop their skills and contribute to their professional growth. Qualifications we seek in you: Minimum Qualifications Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field. Experience in data science, machine learning, AI applications, and generative AI modelling. Strong expertise in Python, R, or other programming languages commonly used in data science and AI, with experience in implementing large language models and generative AI frameworks. Proficient in statistical modelling, machine learning techniques, AI algorithms, and generative model development using large language models such as GPT-3, BERT, or similar frameworks like RAG, Knowledge Graphs etc. Experience working with large datasets and using various data storage and processing technologies such as SQL, NoSQL, Hadoop, and Spark. Strong analytical, problem-solving, and critical thinking skills, with the ability to draw insights from complex data and develop actionable recommendations. Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and explain complex concepts to non-technical stakeholders. Preferred Qualifications/ skills Experience in deploying AI models, generative models, and applications in a production environment using cloud platforms such as AWS, Azure, or GCP. Knowledge of industry-specific data sources, challenges, and opportunities relevant to Insurance Demonstrated experience in leading data science projects from inception to completion, including project management and team collaboration skills.

Job Title: Machine Learning Engineer Generative AI / LLMs Experience: 5 to 8 Years Location: Pune / Bangalore (Hybrid) Employment Type: Full-Time / Permanent About Claidroid Technologies Pvt. Ltd.: Claidroid Technologies is a fast-growing IT consulting company delivering next-gen digital transformation services. We specialize in Enterprise Service Management (ESM), Identity & Access Management (IAM), Cloud & DevOps Consulting, and Digital Automation. With teams across India and the USA, we offer a collaborative work culture where innovation is encouraged and performance is recognized. Our clientele includes leading global enterprises across industries such as banking, healthcare, retail, and telecom. Key Responsibilities: Design and deploy scalable Machine Learning and Generative AI solutions. Work with LLMs (GPT-4, Gemini, Mistral) and develop RAG pipelines. Implement solutions using Langchain, LangGraph, and Prompt Engineering. Integrate Azure OpenAI and Azure AI Search for GenAI applications. Develop MLOps workflows using Azure ML, PromptFlow, or SageMaker. Collaborate with cross-functional teams to operationalize AI capabilities. Required Skills: Core ML: Python, scikit-learn, TensorFlow, PyTorch, XGBoost GenAI & NLP: GPT-4, Langchain, RAG, Prompt Engineering Cloud & MLOps: Azure OpenAI, Azure ML, Docker, FastAPI Data Tools: SQL, PostgreSQL, Pandas, NumPy, Matplotlib Good to Have: Experience with Azure Bot Framework, SharePoint indexing Exposure to domains like finance, healthcare, or HR tech Education: B.E. / B.Tech / M.Tech in Computer Science, Data Science, or related disciplines Preferred Certifications: Azure Data Scientist Associate, Azure AI Engineer Why Join Claidroid: Work on high-impact AI/GenAI initiatives Collaborate with global enterprise clients Fast-paced and innovation-oriented environment Application Details: Interested candidates should share their updated resume along with the following details: Total Experience Relevant Experience in Machine Learning and GenAI Current CTC Expected CTC

Key Skills: Python, GenAI, RAG, LLM, Machine Learning, Natural Language Processing, Generative AI, Data Science, AI Model Training, Model Deployment, AI Research, Cloud AI Services. Roles & Responsibilities: Develop and deploy Generative AI solutions utilizing frameworks like RAG and LLM to address business challenges. Work with cross-functional teams to identify opportunities for leveraging GenAI and LLM technologies for enhancing products and services. Design, implement, and optimize Python-based solutions for training and deploying machine learning models. Collaborate with data scientists, product managers, and developers to integrate Generative AI capabilities into various applications and systems. Research and implement cutting-edge AI technologies to improve model performance and scalability. Lead the creation and management of AI models through their lifecycle, including data preprocessing, model training, testing, and deployment. Ensure model quality, efficiency, and robustness, and provide regular updates on AI initiatives to stakeholders. Experience Requirements: 6-9 years of experience in Generative AI, specifically in RAG (Retrieval-Augmented Generation) and LLM (Large Language Models). Proven track record with at least 2 projects in Generative AI or relevant AI-driven solutions. Proficiency in Python for model development, data processing, and AI tool integration. Familiarity with Machine Learning, Natural Language Processing, and Deep Learning concepts. Education: Any Post Graduation, Any Graduation.

Job Description Job Title: R&D Senior Member of Technical Staff - Test (AI Apps) Location: Hyderabad India Employment Type: Full Time The job As part of our global AI development group, youll collaborate with a team of skilled software engineers in designing and implementing AI capabilities and solutions into our product suite. The work will primarily involve testing of our AI capabilities that we introduce in our products ensuring that they are of top-notch quality. You will have the opportunity to work with the latest technologies to ensure that we build and bring meaningful AI capabilities to the market through our product suite. Key responsibilities Participate in Scrum meetings with other team members including sprint planning and estimating; backlog refinement; daily Scrum meetings; sprint retrospectives and sprint reviews. Work collaboratively with scrum colleagues to identify, implement and execute functional and non-functional test scenarios to validate the functionality of the software. Be responsible for defining stories, test strategy, test ideas and translating those into automated and manual tests as part of a cross-functional development team. Use tools including test automation frameworks and data to make testing efficient and easily repeatable for regression purposes. You may be required to update existing frameworks or modify them or build new ones depending on the need. Design, implement, and execute test strategies for AI-powered applications, including LLM-based assistants, computer vision models, and predictive analytics systems. You may be required to mentor junior team members. Handle large amounts of data, as is normally the case with AI models. Essential requirements Minimum 10+ years of functional/domain testing experience within the engineering or a related industry. Expertise in non-functional requirement gathering and identifying critical business scenarios. Strong knowledge and hands-on experience in API testing via automation . Experience in application/functional testing . Should have working knowledge in designing and implementing and executing test strategies for AI-powered applications like LLM-based assistants, computer vision models, and predictive analytics systems . Proficiency with CI/CD tools such as GIT, TFS, MS Test, and Azure DevOps. Familiarity with Agile methodologies and processes. Experience in test automation using Selenium with C#/JavaScript or similar scripting languages. Understanding of Microservices and Service-Oriented Architectures . Good grasp of Machine Learning life cycle . Ability to design and implement unit and integration tests for machine learning models using varied datasets. Should have working knowledge in designing and implementing and executing test strategies for AI-powered applications like LLM-based assistants, computer vision models, and predictive analytics systems Exceptional communication skills to collaborate with Product Owners, System Testers, and Product Support teams . Experience mentoring and coaching less experienced colleagues. Strong problem-solving skills with a proactive and positive approach. Desired skills and competencies Organization: The pace at AVEVA can be exciting and fast, so whilst you will need excellent time management and effective prioritization, we will do all we can to support a balanced portfolio of work, and your wellbeing. Quality Software: You are passionate about delivering software that is reliable, performant and scales well. Problem-solving: You’ll need to enjoy figuring how to get out of sticky problems, as troubleshooting and solving challenging problems is a big part of this role. R&D at AVEVA Our global team of 2000+ developers work on an incredibly diverse portfolio of over 75 industrial automation and engineering products, which cover everything from data management to 3D design. AI and cloud are at the centre of our strategy, and we have over 150 patents to our name. Our track record of innovation is no fluke – it’s the result of a structured and deliberate focus on learning, collaboration and inclusivity. If you want to build applications that solve big problems, join us. Find out more: aveva.com/en/about/careers/r-and-d-careers/

Description Lang chain expert skilled in python for creating new chains or fixing existing ones, also leverage ML or Gen AI models for data extraction Must Have Programming Proficiency: Especially in Python (NumPy, Pandas, Scikit-learn), and optionally R or Java Machine Learning Algorithms: Supervised, unsupervised, and ensemble methods (e.g., decision trees, SVMs, XGBoost) Deep Learning: Understanding of neural networks, CNNs, RNNs using frameworks like TensorFlow or PyTorch Data Handling & Preprocessing: Cleaning, transforming, and visualizing large datasets Gen AI, Open AI, AI Search Version Control: Git/GitHub for collaboration and reproducibility Problem Solving & Critical Thinking: Ability to frame business problems as data science tasks. Good to Have Data Lake (Microsoft SQL Server, Azure Cosmos, Azure Data Lake) Cloud Computing