819 Llms Jobs - Page 25

As a Technical Intern Solutions at our company, you will thrive at the intersection of creativity and code. This role is ideal for you if you are passionate about prototyping new ideas, experimenting with cutting-edge technology, and building immersive XR solutions. Your main responsibilities will include developing Proof of Concept (POC) solutions based on client needs and upcoming technologies. You will design and build rapid prototypes, create full-stack applications using React.js for the frontend and Node.js for the backend, and develop AR/VR experiences using Unity for platforms like Meta Quest and Apple Vision Pro. You will also be involved in quickly iterating on ideas to test feasibility and gather user feedback. In addition to POC development, you will collaborate with the delivery team to provide technical insights during development cycles and support the transition of POCs into scalable production-ready solutions when necessary. The mandatory technical skills required for this role include proficiency in React.js for frontend development, Node.js (Express preferred) for backend development, experience with REST APIs and real-time data integration, and hands-on experience in developing AR/VR content using Unity. Preferred skills that will be beneficial for this role include C++ or Blueprint scripting in Unreal Engine, familiarity with XR development for devices like Meta Quest and Apple Vision Pro, understanding of AI/ML concepts such as LLMs and computer vision using Python, 3D Web development using Babylon.js or Three.js, and experience with cloud/backend technologies like Firebase, AWS, or similar. We are looking for a proactive and fast learner who has a passion for new technologies, is comfortable navigating ambiguity, and can work with minimal documentation. You should be able to occasionally interact with clients or stakeholders to understand their needs and demonstrate ideas effectively. If you are ready to be part of a team that prototypes the future of immersive technology, apply now and join us in shaping what's next.,

As a Senior Automation Engineer at NiCE, you will be part of a dynamic team that embraces challenges and constantly pushes boundaries. With 5 to 8 years of experience, you will have the opportunity to showcase your skills in testing AI agents and chatbots, along with a strong background in working with the AWS platform. Additionally, experience in testing LLMs is preferred, coupled with a good understanding of Python programming. Joining NiCE means becoming part of a global company that is known for disrupting the market and setting the highest standards. You will work alongside the best professionals in a fast-paced, collaborative, and innovative environment. At NiCE, every day presents an opportunity for learning and growth, with endless internal career prospects across various roles, disciplines, domains, and locations. If you are passionate, innovative, and driven to exceed expectations, NiCE offers you the chance to ignite your career. At NiCE, we believe in fostering a flexible work environment through our NiCE-FLEX hybrid model. This model allows for a balance of 2 days working from the office and 3 days of remote work each week. Office days are dedicated to face-to-face meetings that encourage teamwork, collaboration, and the generation of innovative ideas in a vibrant and interactive setting. NiCE, a global leader with over 8,500 employees across 30+ countries, is known for its cutting-edge software products used by 25,000+ businesses worldwide. As a market leader in AI, cloud, and digital technologies, NiCE is committed to delivering exceptional customer experiences, combating financial crime, and ensuring public safety. Join NiCE and be part of an innovation powerhouse that is shaping the future of technology.,

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.,

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.,

As a Senior Software Engineer at Wells Fargo, you will take the lead in driving complex technology initiatives that have a companywide impact. You will be instrumental in setting standards and best practices for engineering large-scale technology solutions across various technology disciplines. Your responsibilities will include designing, coding, testing, debugging, and documenting projects and programs. Your role will involve reviewing and analyzing complex technology solutions to address tactical and strategic business objectives within the enterprise technological environment. You will be making critical decisions in developing best practices for engineering solutions, leveraging industry standards and new technologies to guide and influence the technology team towards meeting deliverables and driving new initiatives. Collaboration and consultation with technical experts, senior technology team members, and external industry groups will be key to resolving technical challenges and achieving set goals. Moreover, you will lead projects, teams, or serve as a mentor to peers. The job requires a minimum of 5 years of Software Engineering experience or an equivalent combination of work experience, training, military service, or education. Desired qualifications for this role include strong Python programming skills, expertise in RPA tools like UI Path, proficiency in Workflow automation tools such as Power Platform, and a minimum of 2 years of hands-on experience in AI/ML and Gen AI. Additionally, experience in LLMs (Gemini, GPT, or Llama), prompt engineering, model fine-tuning, and AI/Gen AI certifications from premier institutions are preferred. Hands-on experience in ML ops tools like MLflow and CICD pipelines is also valued. In terms of job expectations, you will be involved in designing and developing AI-driven automation solutions, implementing AI automation to improve process automation, developing and maintaining automation, BOTS, and AI-based workflows, integrating AI automation with existing applications, API's and databases, and building and optimizing prompt engineering workflows. Furthermore, you will fine-tune and integrate pre-trained models for specific use cases and deploy models in production using robust ML ops practices. If you believe you are the ideal candidate for this role, we encourage you to apply before the job posting ends on 23rd July 2025. Wells Fargo is committed to providing equal opportunities, and we welcome applications from all qualified candidates, including women, persons with disabilities, aboriginal peoples, and visible minorities. If you require any accommodations during the recruitment process due to a disability, please reach out to Disability Inclusion at Wells Fargo.,

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

About this role: Wells Fargo is seeking a Senior Software Engineer. In this role, you will: Lead moderately complex initiatives and deliverables within technical domain environments Contribute to large scale planning of strategies Design, code, test, debug, and document for projects and programs associated with technology domain, including upgrades and deployments Review moderately complex technical challenges that require an in-depth evaluation of technologies and procedures Resolve moderately complex issues and lead a team to meet existing client needs or potential new clients needs while leveraging solid understanding of the function, policies, procedures, or compliance requirements Collaborate and consult with peers, colleagues, and mid-level managers to resolve technical challenges and achieve goals Lead projects and act as an escalation point, provide guidance and direction to less experienced staff Required Qualifications: 4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: Strong Python programming skills Expertise in RPA tools such as UI path Expertise in Workflow automation tools such as Power Platform Minimum 2 Years of hands-on experience in AI/ML and Gen AI Proven experience in LLMs (Gemini, GPT or Llama etc.) Extensive experience in Prompt Engineering and model fine tuning AI/Gen AI Certifications from premier institution Hands on experience in ML ops (MLflow, CICD pipelines) Job Expectations: Design and develop AI driven Automation solutions Implement AI automation to enhance process automation Develop and maintain automation, BOTS and AI based workflows Integrate Ai automation with existing applications, APIs and databases Design, develop and implement Gen AI applications using LLMs Build and optimize prompt engineering workflows Fine tune and integrate pre-trained models for specific use cases Deploy models in production using robust MLops practices 23 Jul 2025 To request a medical accommodation during the application or interview process, visit . Wells Fargo maintains a drug free workplace. Please see our to learn more.

We are hiring experienced AI Engineers for a full-time, 6-month on-premise role in Bengaluru (Electronic City) The role involves working on AI/ML solutions with open-source LLMs such as LLaMA, DeepSeek, and Mistral Strong Python programming skills, including data structures and algorithmic problem-solving, are essential Candidates must be comfortable deploying models on-premise and solving system-level challenges in Python Fine-tuning of LLMs, performance optimization, and working in Linux environments are desirable The role is hands-on and requires excellent analytical thinking and full-time office presence

At InnovationM , we're shaping the future of enterprise AI and are looking for a Senior Agentic AI Engineer to lead the design and development of cutting-edge agentic frameworks. Youll help build a scalable AI foundation that empowers multiple teams to deploy intelligent agents with autonomy, memory, and reasoning capabilities. Key Skills: Python | LangGraph | CrewAI | RAG | LLMs | Agentic Frameworks Tool Integration | Vector Databases | Autonomous Decision-Making Human-in-the-Loop | Secure, Scalable Architectures What Youll Do: Architect enterprise-grade AI frameworks Build reusable agentic patterns using LangGraph, CrewAI, AutoGPT Enable tools like APIs, vector stores, RPA, and internal services Collaborate across teams to bring autonomy into complex workflows Mentor and guide teams on the future of agentic AI Why Join Us? Work on the latest in AI/ML and agentic systems Engage with large-scale clients and impactful projects Thrive in a culture of innovation, learning & development Location: Noida Sec-126 l 5 Days work from Office Apply now: nikita.gautam@innovationm.com

As a Senior Applied Scientist at our organization, you will play a crucial role in the development of cutting-edge generative AI solutions for Oracle Analytics. Your primary responsibilities will include innovating new methods for natural language interaction with structured data, building intelligent systems for comprehensive data analysis, creating advanced personalization techniques, and seamlessly integrating your solutions into industry-specific intelligent applications. Your expertise in machine learning, data science, and generative AI will be essential for this role, particularly in areas such as LLMs (fine-tuning, adaptation, personalization), agent frameworks, and tool orchestration. It is preferred that you have practical experience in machine learning techniques for structured data, tabular representation learning, graph neural networks, time series modeling, and operations research/mathematical optimization. Successful candidates will have a proven track record of designing innovative solutions that push the boundaries of technology in alignment with business needs. This can be demonstrated through publications in prestigious conferences or journals and a history of impactful contributions to software products that operate at scale. If you are passionate about leveraging your expertise in machine learning and generative AI to drive advancements in intelligent applications, collaborate with a diverse team, and make a significant impact in the field, we encourage you to apply for this exciting opportunity.,

As our Founding Engineering Manager, you will play a crucial role in building and scaling the backend infrastructure for our core voice AI product. Your responsibilities will include making informed decisions on architecture, system design, infrastructure, and performance optimization. Additionally, you will lead and mentor a growing engineering team, ensuring that they are equipped with the necessary skills and guidance to succeed. One of your key tasks will be to own the technical roadmap and collaborate closely with the co-founders to align the technology strategy with the overall business objectives. While fulfilling these leadership responsibilities, you will also stay hands-on by writing clean and efficient code primarily in Go and Python. This hands-on approach will allow you to maintain a deep understanding of the product and technology stack. Furthermore, you will work in close coordination with AI specialists, product managers, and customer success teams to deliver a seamless and high-quality experience to our clients, particularly those in the high-stakes BFSI sector. Ensuring security, uptime, and compliance will be paramount in meeting the expectations of these clients. In terms of technology stack, you will be proficient in languages such as Go and Python, and have experience with infrastructures like AWS, Docker, Postgres, and Redis. Familiarity with AI technologies such as LLMs, NLU/NLP APIs, as well as CI/CD, logging, and monitoring tools will be essential for success in this role. To excel in this position, you should ideally possess 5-10 years of backend engineering experience and have a track record of scaling systems from 0 to 100+ users. Your passion for clean code, system design, and solving complex infrastructure challenges will set you apart. Previous experience in leading or mentoring development teams will be beneficial, as you will be expected to take ownership and drive results in a high-growth voice AI startup environment. If you have prior experience in developing AI/LLM/NLP or voice-based products, or have worked in fintech, BFSI, or startup environments, it would be considered a bonus. This additional expertise can further enhance your contributions to our team and the impact we aim to create in the market. In return, we offer competitive compensation along with equity opportunities, high levels of ownership and autonomy, and the unique status of being part of the founding team. This role presents you with a chance to be a key player in building something truly impactful and innovative within the voice AI space.,

You will be joining our AI/ML team as an experienced and hands-on AI/ML Tech Lead. In this role, you will be responsible for architecting, guiding, and delivering scalable AI solutions while actively contributing to code and model development. Your deep expertise in machine learning, computer vision, LLMs, and deployment practices, along with prior experience in leading and mentoring a team of engineers, will be crucial for success. Your key responsibilities will include leading the development and deployment of AI/ML models and API-based services in domains such as Computer Vision, LLMs, and Agentic AI. You will guide and mentor a team of at least 4 AI/ML engineers, ensuring high-quality technical output and team growth. Additionally, you will own infrastructure and DevOps decisions related to AI model serving, optimization, and monitoring. Collaboration with DevOps, Data Engineering, and Product teams for seamless integration and delivery will also be a key aspect of your role. Evaluating and adopting emerging AI frameworks and tools to enhance development velocity and model performance will be part of your responsibilities. To excel in this role, you should have a minimum of 9 years of experience in AI/ML, with at least 2 years in a technical leadership role guiding a team. Proven hands-on experience in deploying production-grade ML models using Docker, FastAPI/Flask, and CI/CD pipelines is essential. A deep understanding of version control (Git), containerization, and MLOps practices is required. Proficiency in Python, PyTorch/TensorFlow, OpenCV, and HuggingFace/Transformers is expected. Exposure to agentic AI workflows, prompt engineering, and GPU-based training/inference will be beneficial. Experience working with cloud infrastructure (AWS/GCP/Azure) and managing compute/GPU resources is also a plus.,

As a passionate and experienced Expert / Senior Full Stack Developer/Senior Developer with AI Skills at SAP, you will be joining a new engineering team focused on enabling the world to run better through innovative technology solutions. With a strong emphasis on collaboration and a shared passion for driving positive change, you will play a key role in building the foundation for tomorrow and creating an inclusive workplace that values flexibility and diversity. Your responsibilities will include developing cloud & SaaS applications, leveraging your expertise in AI product development, particularly in Agentic AI. You will have the opportunity to work with LLMs and generative AI frameworks, integrating AI-driven features into applications. Your experience with GenAI, LLMs, RAG, Lang Chain, VectorDBs will be crucial in contributing to the success of the team. In this role, you will utilize your expertise in developing RESTful services using technologies such as Spring Boot or Node.js, along with knowledge of SAPUI5 JavaScript, React, Angular, or Vue. Additionally, familiarity with BTP, CDS, CAP, Cloud Foundry, microservices, CI/CD pipelines, DwC, and build automation tools like Jenkins will be beneficial. You will be part of the Deployment Hub team, which is dedicated to simplifying deployment experiences and accelerating time to value through personalization and integration of SAP products. By focusing on customer obsession and leveraging automation and data-driven approaches, the team aims to enhance the product experience, drive improved customer satisfaction, and increase operational efficiency. At SAP, we are committed to creating an inclusive and diverse workplace where every individual, regardless of background, can thrive and contribute their unique talents. Our culture of inclusion, focus on well-being, and flexible working models ensure that all employees can perform at their best. We value the diverse capabilities and qualities that each person brings to the company, investing in our employees" growth and development to unleash their full potential. As part of a global cloud company with a strong team ethic and a commitment to personal development, you will have the opportunity to work on cutting-edge innovations that impact over four hundred thousand customers worldwide. SAP's purpose-driven approach and collaborative culture empower employees to tackle challenges and drive meaningful solutions. Join SAP in its mission to unleash all talent, create a more equitable world, and drive positive change through inclusive practices and innovative technology solutions.,

As an AI Engineer (Generative AI / Agentic AI) at Roboyo, you will be responsible for developing AI solutions using Generative AI models such as LLMs and agent-based frameworks. Your role will revolve around leveraging your strong Python skills and cloud technology experience in Azure, AWS, and GCP to build intelligent applications like chatbots and AI agents. This position will involve working on both client projects and internal prototypes, fostering collaboration with solution architects, data engineers, and active participation in agile development cycles. Your key responsibilities will include designing and testing AI-driven applications, deploying models and AI solutions on cloud platforms to ensure scalability, collaborating with the team to align AI solutions with client needs, and contributing to Roboyo's internal AI prototypes and knowledge sharing initiatives. The ideal candidate will have 3-6 years of software development experience with a focus on AI/ML, strong Python skills, and proficiency in AI libraries like TensorFlow and PyTorch. Experience in deploying AI solutions on cloud platforms and knowledge of Generative AI models such as LLMs and GPT will be essential. Additionally, good data handling and integration skills are required. Preferred qualifications include exposure to automation platforms like UiPath and Power Platform, familiarity with web development, APIs, or conversational AI tools such as Rasa and Microsoft Bot Framework. AI certifications will be considered a plus. Join our dynamic and ambitious team at Roboyo, where you will experience a fun and innovative work environment with a group of passionate individuals dedicated to pushing the boundaries of technology and automation. By applying for this role, you consent to the processing of your personal data for recruitment purposes in accordance with our Privacy Policy.,

As an AI Developer, you will be responsible for designing and developing AI/ML models to enhance natural language understanding, intelligent automation, and real-time decision-making through the implementation of NLP, LLMs, and RAG techniques. Your primary focus will involve collaborating with cross-functional teams to seamlessly integrate AI models into various platforms, ensuring scalability, accuracy, and efficiency. In this role, you will actively support training and development programs across India, which may require traveling to client locations, academic institutions, and partner sites as necessary. Additionally, you will be tasked with continuously testing, refining, and documenting AI systems utilizing tools such as Python, TensorFlow, Hugging Face, and cloud services. Furthermore, you will engage in knowledge sharing initiatives, conduct technical workshops, and deliver on-site demos to showcase AI solutions and drive their adoption within the organization. This role is a full-time position with a day shift schedule and requires a Bachelor's degree as the preferred educational qualification. To be successful in this position, you should have a total of 1 year of experience, with specific expertise as an AI Developer for at least 1 year. The work location for this role is in person. In addition to a competitive salary, the benefits package includes cell phone reimbursement, provided meals, health insurance, paid sick time, and Provident Fund contributions.,

The company you will be joining, TechGlobal, is a renowned global leader in strategy, technology consulting, and digital services, operating in over 100 countries. TechGlobal is dedicated to assisting businesses in embracing cutting-edge solutions for their digital transformation, aiming to make them digital-first and digital-ready. With a workforce of over 600,000 employees globally, including 200,000 in India, the company has a strong presence in the country with development centers in more than 10 locations across Tier 1 and Tier 2 cities. TechGlobal is known for its people-centric and employee-friendly policies, offering hybrid work options and flexible location choices due to its extensive Pan India presence. Your role at TechGlobal will involve developing applications and systems that leverage AI tools and Cloud AI services, ensuring the creation of cloud or on-prem application pipelines with production-ready quality. You will be expected to integrate GenAI models into the solutions, exploring areas such as deep learning, neural networks, chatbots, and image processing. Key Responsibilities: - Lead research and development in agentic architectures, autonomous agents, human-agent collaboration, and model/agent drift detection. - Design and prototype autonomous agents for practical applications like enterprise automation, digital assistants, and healthcare autonomous agents. - Collaborate with solutioning, delivery, and engineering teams to incorporate agentic capabilities into scalable systems for various industries. - Work with the Responsible AI team to embed policies in the solutions, collaborate with consulting teams to provide technical expertise in AI, and engage with academia and industry partners for advancing research boundaries. - Share innovative research findings in top AI forums and conferences. - Develop a strong AI talent pool and promote a culture of continuous learning within the organization, while mentoring a team of researchers and engineers. - Provide consulting and solutioning support for complex client issues by leveraging niche AI skills and utilizing advanced frameworks and accelerators. Skills Required: - A Ph.D. in Computer Science, Electrical Engineering, Electronics, Electronics and Communication, Data Science/AI, Mathematics, or Statistics from prestigious institutions like IITs, IISc, IIIT, or ISI. - A total of 12-20 years of experience with at least 5 years of relevant experience post-PhD. - Profound expertise in reinforcement learning, autonomous agents, and multi-agent systems. - In-depth understanding of LLMs and their application in agentic workflows. - Hands-on experience with frameworks such as LangChain, AutoGPT, or similar tools. - Demonstrated history of innovation and publications. Qualifications & Experience: - A Ph.D. in Computer Science, Electrical Engineering, Electronics, Electronics and Communication, Data Science/AI, Mathematics, or Statistics from esteemed institutions like IITs, IISc, IIIT, or ISI. - 12 to 20 years of overall experience in relevant fields.,

At EG, we are dedicated to developing industry-specific software solutions for our customers, allowing them to focus on their profession while we handle the technology aspect. Our team, consisting of industry peers and backed by the stability and innovation of EG, is committed to tackling significant challenges such as resource efficiency and sustainability. With a global workforce of over 3000 employees, including a team of 850+ based in Mangaluru, India, we prioritize a people-first culture that encourages innovation, collaboration, and continuous learning. Join our COE Team, working at the forefront of AI innovation, where we shape AI-powered digital transformation across various business domains. As a Senior Data Scientist with at least 7 years of experience, you will have the opportunity to be part of a core team designing and delivering end-to-end AI solutions that directly impact products across multiple industries. You will have the autonomy to bring your innovations to life while collaborating with exceptional minds in the field. Responsibilities: - Design scalable AI architectures including Traditional AI, GenAI, and Agentic AI - Build AI use cases deployed across hybrid environments such as on-premises infrastructure, Azure, and AWS cloud ecosystems - Enable business units to adopt and maintain AI solutions - Conduct feasibility studies and define technology roadmaps for AI initiatives - Support integration of AI accelerators into existing business applications Your role will involve engaging with product/business teams to translate requirements into AI/ML solutions, leading feasibility analysis, designing solution architectures, and developing, training, and evaluating AI/ML models for various business use cases. You will collaborate with cross-functional teams to deploy end-to-end data pipelines and AI solutions using cloud platforms like Azure and AWS. Additionally, you will evangelize AI best practices, drive adoption of emerging AI technologies, and provide mentorship and training to upskill Business Unit teams and junior data scientists. Required Skills: - Bachelor's in Computer Science and Engineering or related field; advanced degree preferred - 7+ years of experience in AI/ML with expertise in GenAI, LLMs, RAG, and related technologies - Proficiency in Python, ML frameworks (TensorFlow, PyTorch, Keras), NLP, and applied AI - Full-stack engineering exposure with backend in Python and experience in building scalable applications using Azure and AWS - Understanding of OOP/OOD, data structures, design patterns, and Agile/DevSecOps methodologies - Experience with visualization tools like Power BI, Streamlit, etc., and excellent interpersonal and communication skills Join us at EG for a professional, innovative environment where you can work on real-world problems and large-scale AI solutions alongside talented colleagues. We offer flexibility, ownership of ideas, extensive opportunities for personal and professional growth, and a strong focus on employee well-being, inclusion, and benefits.,

You are a dynamic and hands-on Full Stack AI Developer with expertise in Python programming, Generative AI, LLMs, API development, and front-end frameworks like React and Streamlit. Your responsibility includes designing, developing, and maintaining AI-powered full stack applications, building and optimizing REST APIs, creating backend services, implementing Generative AI features, developing front-ends, integrating retrieval-augmented generation (RAG) and agentic AI concepts, applying best practices in software engineering, and working with cloud platforms. You must have proficiency in Core Python Development, scientific & data libraries like NumPy and Pandas, database integration, API development, Generative AI/LLMs, deployment & containerization using Docker, frontend development with HTML5, CSS3, modern JavaScript, Streamlit, and React.js. Desirable skills include experience with cloud services, monitoring and logging for AI systems, testing frameworks, PDF extraction, OCR tools, frontend accessibility, and performance optimization. Your soft skills should include strong communication and documentation skills, problem-solving mindset, and the ability to collaborate across cross-functional teams. An educational qualification of Bachelors or Masters degree in Computer Science, Data Science, AI/ML, or related field is required, and certifications or hands-on experience in Generative AI/LLMs are a plus. This role is ideal for candidates passionate about developing end-to-end AI applications from data ingestion and model integration to real-time deployment and UI/UX delivery. You will work on real-world GenAI products using LLMs, APIs, Vector Databases, and modern front-end stacks in a production-ready setup.,

You will be responsible for leveraging GenAI models and frameworks to build applications and optimize AI solutions for clients. As the primary technical expert in GenAI technologies, you will focus on enhancing the GenAI footprint by developing and implementing advanced AI models. Your role will involve defining best practices, conducting workshops and demos, collaborating with cross-functional teams, and integrating emerging GenAI technologies for improving conversational AI capabilities. Additionally, you will provide technical leadership, mentorship, and guidance to teams, troubleshoot platform integration issues, and independently build prototypes to demonstrate to key decision-makers. To excel in this position, you should have at least 10 years of IT experience, with 3-4 years specifically in AI/Gen AI technologies such as OpenAI, Anthropic, or Hugging Face. Proficiency in NLP, NLU, NLQ, NLG technologies, and core Python expertise for building enterprise-scale applications are essential. You must have delivered production-grade projects on agentic AI frameworks, hands-on experience with frameworks like Autogen, Langraph, or Crew.AI, and expertise in NLQ to SQL-based GenAI applications using Python tools. Experience with cloud platforms like Microsoft Azure, AWS, or GCP, API integrations, and programming skills in Python, Node.js, or Java are also required. Moreover, you should possess strong problem-solving skills, solution architecture capabilities, and client-facing communication abilities to translate business requirements into technical solutions effectively. The ability to manage multiple projects in a fast-paced environment and experience working with cloud platforms will be beneficial. Additionally, expertise in building technical proposals, fast PoVs, and blueprints on new GenAI models and tools are desired for this role.,

As a Data Scientist specializing in AI/ML & GenAI, you will be responsible for utilizing your expertise in machine learning, deep learning, NLP, and generative AI (LLMs) to develop, deploy, and maintain end-to-end AI solutions. Your role will involve collaborating closely with both business and technical teams to drive data-informed decisions and optimize business outcomes. Your key responsibilities will include extracting, processing, and validating both structured and unstructured data, as well as building and deploying ML/DL models, including LLMs and GenAI applications. You will be expected to develop scalable and reproducible model training and deployment pipelines, translate business problems into analytical solutions, and design data visualizations and dashboards for clear insight delivery. Collaboration with engineering, product, and design teams, as well as the implementation of agile practices for timely delivery of data products, will also be crucial aspects of your role. Additionally, you will be responsible for ensuring model performance, scalability, and adaptability. To excel in this role, you should have experience with ML/DL frameworks such as scikit-learn, TensorFlow, PyTorch, and Hugging Face. Proficiency in GenAI, specifically LLMs and generative AI frameworks, as well as expertise in NLP tasks like text classification, summarization, and language modeling, will be essential. Familiarity with tools like Git, Docker, APIs, and cloud platforms (AWS/GCP/Azure) is also required. Furthermore, soft skills such as analytical thinking, business intuition, storytelling, and cross-team communication will be beneficial in this position. If you are a candidate with a notice period of a maximum of 1 month or available for immediate joining, we encourage you to apply for this full-time position. Please note that the work location is in person.,

As a Senior AI Engineer specialized in Voice AI and Autonomous Agents at Spyne, you will be responsible for owning and building Spynes in-house voice bot stack. This pivotal role involves leveraging your expertise in LLMs, ASR/TTS, and voice UX to develop immersive, human-like conversations between auto dealerships and their customers. Located in Gurugram, you will work from the office five days a week to drive the development of cutting-edge AI solutions in the automotive retail sector. Your primary responsibilities will include: - Voice AI Stack Ownership: Developing and managing the complete voice bot pipeline encompassing ASR, NLU, dialog state management, tool calling, and TTS to deliver a seamless conversation experience. - LLM Orchestration & Tooling: Designing systems utilizing MCP to facilitate structured context exchange between real-time ASR, memory, APIs, and the LLM. - RAG Integration: Implementing retrieval-augmented generation to support responses based on dealership knowledge bases, inventory data, recall lookups, and FAQs. - Vector Store & Memory: Creating scalable vector-based search functionalities for dynamic FAQ handling, call recall, and user-specific memory embedding. - Latency Optimization: Engineering low-latency, streaming ASR + TTS pipelines and optimizing turn-taking models for natural conversations. - Model Tuning & Hallucination Control: Customizing tone, reducing hallucinations, and aligning responses with business objectives via fine-tuning, LoRA, or instruction tuning. - Instrumentation & QA Looping: Establishing robust observability, conducting real-time call QA processes, and analyzing interruptions, hallucinations, and fallbacks. - Cross-functional Collaboration: Collaborating closely with product, infra, and leadership teams to scale the voice bot solution to numerous US dealerships effectively. To excel in this role, you should possess: - Architectural Thinking: Ability to comprehend the integration of ASR, LLMs, memory, and tools and design modular, observable, and resilient systems. - LLM Tooling Mastery: Proficiency in implementing tool calling, retrieval pipelines, function calls, or prompt chaining across various workflows. - Fluency in Vector Search & RAG: Expertise in chunking, embedding, indexing, and retrieval processes while avoiding prompt bloat and token overflow. - Latency-First Mindset: Capability to identify and rectify token delays, optimize API round-trip time, and ensure human-like call interactions. - Grounding > Hallucination: Skill in tracing hallucinations to weak prompts, lack of guardrails, or tool access deficiencies and addressing them effectively. - Prototyping Skills: Comfort with building from scratch and rapid iteration using open-source or hosted tools as required. Requirements for this role include: - 5+ years of experience in AI/ML or voice/NLP systems with real-time exposure. - Profound knowledge of LLM orchestration, RAG, vector search, and prompt engineering. - Experience with MCP-style architectures and structured context pipelines between LLMs and APIs/tools. - Familiarity with integrating ASR (Whisper/Deepgram), TTS (ElevenLabs/Coqui), and OpenAI/GPT-style models. - Strong understanding of latency optimization, streaming inference, and real-time audio pipelines. - Proficiency in Python, FastAPI, vector DBs (Pinecone, Weaviate, FAISS), and cloud infrastructures (AWS/GCP). - Solid debugging, logging, and QA capabilities for hallucination, grounding, and UX analysis. Join Spyne for a real-world AI impact, a superior team balancing speed with technical depth, high autonomy, and visibility from day one, accelerated career growth, MacBook along with essential tools, and a flat structure focused on meaningful work without unnecessary bureaucracy.,

You are a Data Science Engineer who will be contributing to the development of intelligent, autonomous AI systems. The ideal candidate should have a strong background in agentic AI, LLMs, SLMs, vector DB, and knowledge graphs. Your responsibilities will include deploying AI solutions that leverage technologies such as Retrieval-Augmented Generation (RAG), multi-agent frameworks, and hybrid search techniques to enhance enterprise applications. As part of the flexible scheme, you will enjoy various benefits such as a best-in-class leave policy, gender-neutral parental leaves, childcare assistance benefit reimbursement, sponsorship for industry-relevant certifications, employee assistance program, comprehensive hospitalization insurance, accident and term life insurance, and health screening. Your key responsibilities will involve designing and developing Agentic AI Applications using frameworks like LangChain, CrewAI, and AutoGen, implementing RAG Pipelines, fine-tuning Language Models, training NER Models, developing Knowledge Graphs, collaborating cross-functionally, and optimizing AI workflows. To excel in this role, you should have at least 4 years of professional experience in AI/ML development, proficiency in Python, Python API frameworks, SQL, and familiarity with AI/ML frameworks like TensorFlow or PyTorch. Experience in deploying AI models on cloud platforms, understanding of LLMs, SLMs, semantic technologies, and MLOps tools is required. Additionally, hands-on experience with vector databases, embedding techniques, and developing AI solutions for specific industries will be beneficial. You will receive support through training, coaching, and a culture of continuous learning to aid in your career progression. The company strives for a culture of empowerment, responsibility, commercial thinking, initiative, and collaboration. They promote a positive, fair, and inclusive work environment for all individuals. For further information about the company and its teams, please visit the company website at https://www.db.com/company/company.htm. Join a team that celebrates success and fosters a culture of excellence and inclusivity.,

You'll need to have: Bachelors degree in Computer Science, Statistics, Engineering, Mathematics, or a related quantitative field. Six or more years of professional experience in data science, machine learning, or a related role. Expert-level hands-on proficiency in Python and its core data science libraries (e.g., Pandas, NumPy, Scikit-learn, Matplotlib). Deep theoretical and practical knowledge of a wide range of machine learning algorithms (e.g., classification, regression, clustering, ensemble methods) and deep learning. Proven hands-on experience developing and deploying Generative AI solutions, with a strong understanding of LLMs, transformers, and vector databases. Experience with Multi-Modal RAG systems (handling text, images, and other data types). Strong proficiency in SQL for complex data extraction, manipulation, and analysis on large-scale datasets. Hands-on experience with cloud computing platforms, specifically Google Cloud Platform (GCP) and its AI/ML services. Even better if you have: A Master’s or Ph.D. in a relevant quantitative field. Practical experience in developing AI agents using frameworks like LangChain, Agent Development Kit (ADK), or LlamaIndex. Experience in designing and implementing robust LLM evaluation metrics and frameworks (e.g., RAGAS, ARES, TruLens) Experience with voice and speech technologies, such as Speech-to-Text (STT), Text-to-Speech (TTS), and building conversational AI or voicebot systems. Experience with MLOps/LLMOps principles and tools (e.g., Docker, Kubernetes, CI/CD pipelines for models, MLflow). GCP Professional Machine Learning Engineer certification.

Description - External Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose the relentless pursuit of a world that works better for people we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. Inviting applications for the role of AIML Engineer! In this role, we are looking for candidates who have relevant years of experience in designing and developing machine learning and deep learning system. Who have professional software development experience. Hands on running machine learning tests and experiments. Implementing appropriate ML algorithms engineers. Responsibilities • Drive the vision for modern data and analytics platform to deliver well architected and engineered data and analytics products leveraging cloud tech stack and third-party products • Close the gap between ML research and production to create ground-breaking new products, features and solve problems for our customers • Design, develop, test, and deploy data pipelines, machine learning infrastructure and client-facing products and services • Build and implement machine learning models and prototype solutions for proof-of-concept • Scale existing ML models into production on a variety of cloud platforms • Analyze and resolve architectural problems, working closely with engineering, data science and operations teams Qualifications we seek in you! Minimum Qualifications / Skills • Bachelor's degree in computer science engineering, information technology or BSc in Computer Science, Mathematics or similar field • Master’s degree is a plus • Integration – APIs, micro-services and ETL/ELT patterns • DevOps (Good to have) – Ansible, Jenkins, ELK • Containerization – Docker, Kubernetes etc • Orchestration – Airflow, Step Functions, Ctrl M etc • Languages and scripting: Python, Scala Java etc • Cloud Services - AWS, GCP, Azure and Cloud Native • Analytics and ML tooling – Sagemaker, ML Studio • Execution Paradigm – low latency/Streaming, batch Preferred Qualifications/ Skills • Data platforms – Big Data (Hadoop, Spark, Hive, Kafka etc.) and Data Warehouse (Teradata, Redshift, BigQuery, Snowflake etc.) • Visualization Tools - PowerBI, Tableau Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.