819 Llms Jobs - Page 12

At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose. Your Role We are seeking a Transformation Lead with a strong background in Azure cloud architecture and hands-on experience in implementing Generative AI (GenAI) solutions. This role blends cloud-native application design with modern AI capabilities, supporting the organization's journey toward intelligent, scalable, and AI-augmented systems. Design and build secure, scalable applications using Azure services like App Services, Functions, and Azure DevOps. Design and implement GenAI solutions using frameworks like LangChain, LangGraph, Autogen, crewAI, or OpenAI Agent SDK to orchestrate multi-step reasoning and agent workflows. Design and deliver AI-powered solutions for production use cases such as intelligent document processing, automated content generation, enterprise search assistants, and decision-support systems. Apply techniques like Retrieval-Augmented Generation (RAG), prompt engineering, and model fine-tuning Your Profile Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field Strong experience in Azure cloud services and infrastructure. Practical understanding of GenAI frameworks such as LangChain, LangGraph, Autogen, crewAI, OpenAI Agent SDK Proficiency in Python for AI/ML development. Experience working with LLMs and GenAI techniques such as prompt engineering and RAG. Background in building microservices and serverless solutions. What you will love about working here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

Crenovent Technologies is a product-based SaaS-AI startup dedicated to developing cutting-edge revenue operations platforms, including RevAI Pro and RevOp Max. Our innovative AI-first solutions are designed to empower Sales, Marketing, Customer Success, and RevOps professionals by providing actionable insights in real-time to drive growth and streamline GTM execution. As a Data Science Lead at Crenovent Technologies, you will play a crucial role in collaborating with our engineering and product teams to enhance our SaaS applications with GenAI capabilities and AI agents. The successful candidate will leverage their expertise in machine learning, LLMs, model deployment, and data-driven architecture to deliver real-time intelligence solutions for revenue teams. Your responsibilities will include leading the design and development of ML models and GenAI agents, overseeing the end-to-end model lifecycle from data preprocessing to deployment, working closely with backend and frontend developers to integrate ML/AI models into production, conducting research on LLMs and vector databases for tailored insights, and building scalable AI systems for user-facing recommendations. The ideal candidate should possess a B.Tech/M.Tech or equivalent degree in Computer Science, Data Science, AI, or related fields, along with a minimum of 4 years of hands-on experience in Machine Learning, NLP, Deep Learning, and GenAI. Proficiency in Python, TensorFlow/PyTorch, Scikit-learn, Pandas, as well as experience with LLMs, embeddings, and vector databases, will be essential for success in this role. If you are passionate about leveraging AI technologies to drive business growth, possess a strong technical background in data science, and thrive in a fast-paced startup environment, we encourage you to apply for this exciting opportunity at Crenovent Technologies.,

You should have a minimum of 2 years of relevant experience in Generative AI models and Natural Language Processing (NLP) techniques, including Retrieval-Augmented Generation (RAG) systems, text generation, and embedding models. Additionally, you should have exposure to Agentic AI concepts, multi-agent systems, and agent development using open-source frameworks like LangGraph and LangChain. Moreover, hands-on experience with modality-specific encoder models for multi-modal AI applications and proficiency in model fine-tuning, prompt engineering, and using both open-source and proprietary LLMs is required. Experience with model quantization, optimization, and conversion techniques for efficient deployment, including edge devices is also essential. You should possess a deep understanding of inference pipelines, batch processing, and real-time AI deployment on both CPU and GPU. Strong MLOps knowledge is required with experience in version control, reproducible pipelines, continuous training, and model monitoring using tools like MLflow, DVC, and Kubeflow. Practical experience with scikit-learn, TensorFlow, and PyTorch for experimentation and production-ready AI solutions is a must. Familiarity with data preprocessing, standardization, and knowledge graphs is considered a nice-to-have skill. Furthermore, you should have a strong analytical mindset with a passion for building robust, scalable AI solutions and be skilled in Python, writing clean, modular, and efficient code. Proficiency in RESTful API development using Flask, FastAPI, etc., with integrated AI/ML inference logic is also required. Experience with MySQL, MongoDB, and vector databases like FAISS, Pinecone, or Weaviate for semantic search is essential. Exposure to Neo4j and graph databases for relationship-driven insights is a plus. Hands-on experience with Docker and containerization to build scalable, reproducible, and portable AI services is expected. Being up-to-date with the latest trends in GenAI, LLMs, Agentic AI, and deployment strategies is crucial. Strong communication and collaboration skills are necessary, as you should be able to contribute in cross-functional and fast-paced environments. Bonus skills include experience with cloud deployments on AWS, GCP, or Azure, including model deployment and model inferencing, as well as working knowledge of Computer Vision and real-time analytics using OpenCV, YOLO, and similar technologies. This is a full-time job with a day shift schedule. The expected start date is 23/06/2025. The work location is in person.,

About the Role: 10 The Team: The Capital IQ Solutions Data Science team supports the S&P Capital IQ Pro platform with innovative Data Science and Machine Learning solutions, utilizing the most advanced NLP Generative AI models. This role presents a unique opportunity for hands-on ML/NLP/Gen AI/LLM scientists and engineers to advance to the next step in their career journey and apply their technical expertise in NLP, deep learning, Gen AI, and LLMs to drive business value for multiple stakeholders while conducting cutting-edge applied research in LLMs, Gen AI, and related areas. Responsibilities and Impact: Design solutions utilizing NLP models including chat assistants and RAG systems. Design and develop custom NLP LLM Models including both prompt engineering techniques and model fine-tunning and alignment (SFT, RLHF, DPO) NLP Model evaluation using both human-supported and synthetic evaluation methods and metrics. Deploy NLP models ensuring latency, reliability, and scalability. Discover new methods for prompt engineering, model fine-tuning, quantization and latency optimization, document embeddings and chunking. Collaborate closely with product teams, business stakeholders, and engineers to ensure smooth integration of NLP models into production systems. Troubleshoot complex issues related to machine learning model development and data pipelines and develop innovative solutions. Actively research, explore and identify the latest relevant methods and technologies What We're Looking For : Basic Required Qualifications : Degree in Computer Science, Mathematics or Statistics, Computational linguistics, Engineering, or a related field. Good understanding of machine learning and deep learning methods and their mathematical foundations 5-8 years of professional experience in Advanced Analytics / Data Science / Machine Learning 5-8 years hands-on experience developing NLP models, ideally with transformer architectures. Demonstrated experience with Python, PyTorch, Hugging Face or similar tools. Mastery of Python and ability to write robust and high standard, testable code Knowledge of developing or tuning LLMS Additional Preferred Qualifications : 3+ years of experience with implementing information retrieval systems. Experience with contributing to Open Source initiatives or in research projects and/or participation in Kaggle competitions. Publications related to Machine Learning or Deep Learning Ability to work in a team Able to report progress and summarize issues to a less technical audience Curious and open-minded attitude to new approaches What's In It For You Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology-the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We're constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference. For more information on benefits by country visit: Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert: If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, pre-employment training or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity. ----------------------------------------------------------- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - ----------------------------------------------------------- 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.1 - Middle Professional Tier I (EEO Job Group), SWP Priority - Ratings - (Strategic Workforce Planning)

About the Role: 11 About the Role We are looking for a highly driven Senior Platform & Full Stack Engineer who brings passion, innovation, and deep technical experience to join our high-performing DevOps and SRE team. In this role, you'll help us define, build, and scale the next generation of cloud-native, cloud-agnostic CI/CD pipelines , Infrastructure as Code (IaC) reusable workflows , and AI-driven autonomous deployments . Key Responsibilities Lead the design and implementation of reusable IaC workflows and standardized CI/CD blueprints across multiple teams. Architect and maintain cloud-agnostic deployment solutions with deep expertise in AWS and Kubernetes (EKS). Implement and optimize configuration as code practices using tools like Terraform and GitHub Actions. Partner with developers and SREs to define end-to-end infrastructure workflows - covering compute, network, and storage automation. Contribute as a hands-on developer to internal tools, platforms, and APIs (Java, Go, or similar). Collaborate on cutting-edge initiatives such as Agentic AI workflows and autonomous chat-based deployments using MCP and LLM orchestration. Foster a culture of continuous innovation, high energy, and performance excellence. Required Skills & Experience 10+ years of experience in DevOps, Platform Engineering, or Full Stack Development with platform ownership. Proven experience designing Infrastructure as Code using Terraform at scale. Solid programming skills - J ava ,Python, Javascript and Go preferred Expertise in CI/CD pipeline design and orchestration using GitHub Actions (and optionally ArgoCD, GitLab, Jenkins, etc.). Strong knowledge of AWS services, with hands-on experience in EKS , IAM, networking (VPCs, Route53, ALBs), storage (EBS, S3), and compute. End-to-end understanding of modern cloud infrastructure , DevSecOps, observability, and release practices. Ability to translate product/platform needs into reliable, secure, scalable infrastructure solutions . Excellent problem-solving skills and a mindset for performance, scalability, and resilience. Passion for innovation, high energy, and eagerness to experiment with emerging tech like LLMs and Agentic AI Additional Skills Experience with multi-cloud environments (Azure, GCP). Knowledge of Agentic AI systems , LLMs , or AI Ops use cases. Exposure to platform-as-product or internal developer platforms. Familiarity with Kubernetes Operators, Helm charts, and service mesh (Istio, Linkerd). Why Join Us Be part of a forward-thinking DevOps and SRE team pushing the boundaries of platform automation. Work on AI-powered workflows and define how infrastructure can be deployed through intelligent assistants. Build developer-centric platforms that make a real impact on engineering productivity and product reliability. Enjoy a culture of innovation, energy, and excellence where your ideas will be heard and executed. What's In It For You Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology-the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We're constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference. For more information on benefits by country visit: Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert: If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, pre-employment training or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity. ----------------------------------------------------------- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - ----------------------------------------------------------- IFTECH202.2 - Middle Professional Tier II (EEO Job Group)

As a Software Engineer at Google, you will play a crucial role in developing cutting-edge technologies that revolutionize how billions of users engage with information and each other. The scope of our projects extends far beyond traditional web search, demanding innovation in information retrieval, distributed computing, system design, security, artificial intelligence, and more. You will have the opportunity to contribute to projects vital to Google's mission, with the flexibility to explore different teams and initiatives as the company evolves. We are seeking versatile engineers with leadership skills who are eager to tackle diverse challenges across the full technology stack. Google Search is at the forefront of redefining the search experience worldwide, requiring us to overcome intricate engineering hurdles while expanding our infrastructure. Your role on the Search team will involve addressing complex technical issues, enhancing user interaction with AI models, and maintaining an accessible global experience that millions rely on daily. Your responsibilities will include leading the design and implementation of AI/ML systems to integrate Generative AI into core Google Search functions. You will be tasked with architecting scalable solutions for user engagement with generative AI models within the Search platform, collaborating with cross-functional teams to translate ambitious product objectives into features. Your role will involve driving technical strategies, mentoring team members, and fostering an innovative culture within the organization. Additionally, you will evaluate and integrate AI/ML techniques and frameworks to enhance AI model capabilities, ensuring that AI-powered features operate seamlessly at Google's scale. If you are passionate about pushing the boundaries of technology and making a global impact, this role offers an exciting opportunity to contribute to the future of information retrieval and artificial intelligence at Google.,

The Head of Presales AI Solutions leads the technical sales strategy and solutioning efforts for AI-driven offerings across industry verticals. You will be responsible for leading a team of solution architects and presales engineers to articulate the value of AI/ML technologies to clients, develop winning proposals, and support the sales lifecycle from qualification to closure. You will define and drive the presales strategy for AI/ML solutions across geographies and verticals. Building and leading a high-performing presales team comprising AI solution architects, data scientists, and technical consultants will be crucial. Collaboration with product, engineering, and marketing teams to align go-to-market strategies with customer needs is also a key responsibility. Engaging with C-level executives and business stakeholders to understand business challenges and translate them into AI-driven opportunities will be part of your client engagement activities. You will conduct discovery sessions, workshops, and technical deep-dives to shape client requirements effectively. Your role will involve overseeing the design and development of AI/ML solution architectures, prototypes, and demos tailored to client needs. Managing RFP/RFI responses, technical proposals, and solution presentations will also be essential. Ensuring alignment of proposed solutions with client goals, budget, and timelines is a critical aspect of your responsibilities. You will train and support sales teams with product/solution knowledge, value propositions, and competitive positioning to enable them effectively. Driving technical win strategies and collaborating on deal closure activities are key components of sales enablement that you will lead. Business development activities will also be a part of your responsibilities. Staying abreast of the latest AI/ML technologies, frameworks, and competitive landscape is essential. Collaboration with innovation and delivery teams to package repeatable AI offerings and accelerators will also be part of your role. As the Head of Presales AI Solutions, you should possess a Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field. You must have at least 15 years of experience in presales or solution consulting in IT, with a minimum of 5 years in AI/ML or data science domains. Proven experience in leading large presales or solutions teams in enterprise sales cycles is required. Your technical skills should include a strong understanding of AI/ML concepts, model lifecycle (MLOps), data engineering, and cloud AI services. Experience with frameworks like TensorFlow, PyTorch, Hugging Face, and LLMs is necessary. Familiarity with data platforms, APIs, and enterprise architectures is expected. Expertise in solution architecture and design documentation, including High-Level Design (HLD) and Low-Level Design (LLD) is crucial. Excellent presentation and communication skills, especially in translating technical content into business outcomes, are essential soft skills. You should have strategic thinking, problem-solving ability, and strong business acumen. A collaborative leadership style with stakeholder management and team-building capabilities is vital. Proven team leadership and mentoring experience, especially in pre-sales and solutioning, will be necessary for people management. Ability to motivate cross-functional teams, foster a collaborative work environment, and manage performance, goal setting, and team development are key aspects of this role. Your success will be measured based on various KPIs and success metrics, including presales win ratio and contribution to revenue growth, deal conversion rate from solution qualification, time-to-proposal, and solution turnaround time, client satisfaction scores from presales engagements, and team competency growth and retention.,

You have 8+ years of experience and are looking for Senior AIML professionals with expertise in Generative AI, preferably from premier organizations. You should have 10+ years of experience in Data Science with at least two production deployments of Generative AI solutions and exposure to the Agentic AI framework. Your expertise should cover areas such as Robotics, Multiagent Systems, Automated Planning & Scheduling, Intelligence & Orchestration, as well as AI & ML concepts like Supervised & Unsupervised Learning, Neural Networks, Large Language Models (LLMs), Full-stack Software Engineering, and System Design. You should be proficient in tools like Python, FastAPI, Ollama, RDMS (PostgreSQL), Message Brokers, UI Frameworks (Angular, Streamlit), Robot Operating System (ROS), Python frameworks for AI/ML (Scikit-learn, PyTorch, etc.), AWS, Azure, and Git. Your role will involve applying emerging technologies to solve business problems, leading innovative projects in video analytics, face recognition, and retail analytics using OpenCV and Point Cloud Libraries. You should have knowledge of Robot Kinematics, Navigation, Planning, Multi-Agent Orchestration, AI Neural networks, AI LLMs, Software Engineering, Software Architecture, OOP, Git Ecosystem, Python, and AWS Tools. Experience in Techno-functional product/project management, understanding research publications, and staying updated with the latest technology advancements will be essential. Preferred qualifications include product-based experience and an IIT background. Mandatory Skills: AI Cognitive You should have 5-8 years of experience. Wipro is transforming into a modern digital transformation partner with bold ambitions. We are looking for individuals inspired by reinvention, who are eager to evolve themselves, their careers, and their skills. Our business is built on purpose and encourages continuous evolution. Join us to design your reinvention and realize your ambitions in a dynamic environment. Applications from individuals with disabilities are encouraged.,

Job Description: Data Science Trainer We're seeking a committed Technical Data Science Trainer to join us in delivering the next generation of AI technical training. This is not just a job - it's an opportunity to play a key role in empowering the next generation of AI/ML professionals, influencing their careers and contributing to the growing AI ecosystem. The role also helps get recognized as a leader in the AI training space while expanding your personal and professional brand This role is ideal for someone passionate about both teaching and technology, capable of helping learners become skilled professionals in AI and related fields. Skills: AI, Machine Learning, Python, Numpy, Pandas, R Programming, Statistics, Computer Vision, Natural Language Processing, LLMs, Tableau, Power BI Essential Qualifications: B.Tech., M.Tech., MCA or equivalent experience 2 - 6 years' of experience Expertise Required: Technical Expertise: Proficient in AI, ML, Deep Learning, LLMs, Computer Vision, and Python. Tools and Frameworks: Hands-on experience with TensorFlow, PyTorch, Scikit-learn, OpenCV, Hugging Face, NumPy, Pandas, Matplotlib, Seaborn, and R Programming. Communication: Strong ability to explain technical concepts in simple terms and provide clear instructions. Problem-Solving: Ability to debug code, identify errors, and explain solutions effectively. Key Responsibilities: Training Delivery: Design and deliver training programs and workshops for individuals and teams on AI, ML, Deep Learning, LLMs, Computer Vision, and Python programming. Adapt training methods to suit varying levels of expertise, from beginner to advanced learners. Curriculum Development: Develop structured, up-to-date course materials, including slide decks, coding exercises, case studies, and hands-on projects. Incorporate real-world applications and industry best practices into the curriculum for a practical learning experience. Regularly update course content to align with advancements in technology and industry trends. Hands-On Learning: Guide learners through practical exercises, coding labs, and project-based learning to ensure hands-on experience with tools, frameworks, and algorithms. Provide training on key frameworks and tools such as TensorFlow, PyTorch, OpenCV, Hugging Face, Scikit-learn, and Pandas. Mentorship and Support: Offer one-on-one mentorship to learners, addressing individual doubts and helping them troubleshoot complex problems. Monitor learners progress, provide constructive feedback, and suggest improvement strategies. Assessment and Evaluation: Develop and administer assessments to evaluate learners understanding and skill levels. Analyze test results and provide detailed performance feedback. Domain-Specific Expertise: Explain and demonstrate key AI/ML concepts, such as supervised and unsupervised learning, reinforcement learning, natural language processing (NLP), and computer vision techniques. Guide learners in working with large language models (LLMs) like GPT and BERT, focusing on fine-tuning and deployment. Train learners on deep learning topics, including neural networks, CNNs, RNNs, and transformers. Stay Updated on Trends: Continuously research advancements in AI, ML, Deep Learning, and Python, incorporating cutting-edge techniques into the training materials. Maintain familiarity with emerging technologies like generative AI and explainable AI. Soft Skills and Collaboration: Communicate complex concepts clearly to learners from diverse technical and non-technical backgrounds. Foster an engaging and interactive learning environment, encouraging collaboration among participants. What We Offer Be part of cutting-edge AI projects and work on real-world applications of Machine Learning, Deep Learning, Large Language Models (LLMs), and Computer Vision. Opportunity to stay ahead in the AI revolution by working with the latest tools and technologies like TensorFlow, PyTorch, OpenCV, and Hugging Face. Access to continuous learning resources and mentorship programs to sharpen your expertise and stay updated with emerging trends. Build leadership and communication skills by mentoring learners and engaging with professionals across various industries. Connect with industry experts, aspiring AI professionals, and innovators, giving you a strong professional network. Grow with the company! Be part of our exciting journey as we expand and make an impact in the AI training industry. Enjoy early access to leadership opportunities and the chance to shape the companys future direction. Our Culture & Values Startup Culture - Fast-Paced, Collaborative, and Innovative A place for growth. We believe in nurturing talent and giving everyone the chance to grow professionally and personally We work as a team, supporting and learning from each other. Every voice matters here We trust our team to take ownership of their work and make meaningful contributions. Dynamic startup energy Collaborative leadership Continuous learning

Ready to build the future with AI At Genpact, we don&rsquot just keep up with technology&mdashwe set the pace. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos , our industry-first accelerator, is an example of how we&rsquore scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to , our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what&rsquos possible, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at and on , , , and . Inviting applications for the role of Vice President- Agentic Solution Architect/Lead -Agentic AI! Role Summary: In this role, you%27ll be part of Genpact%27s transformation under GenpactNext, as we lead the shift to Agentic AI Solutions&mdashdomain-specific, autonomous systems that redefine how we deliver value to clients. You%27ll help drive the adoption of innovations like the Genpact AP Suite in finance and accounting, with more Agentic AI products set to expand across service lines. Responsible for designing, implementing, and optimizing agentic AI solutions that leverage autonomous agents to improve process efficiency, decision-making, and customer experience. Works closely with product, engineering, and business stakeholders to translate requirements into AI-driven capabilities. Key Responsibilities: Assess client use cases and identify opportunities for agentic AI deployment (e.g., workflow automation, decision agents, process orchestration). Design multi-agent architectures, prompt strategies, and decision-flow logic for autonomous operations. Collaborate with engineering teams to integrate solutions into client systems (ERP, CRM, helpdesk, etc.). Develop proof-of-concepts and pilot implementations to validate business impact. Monitor, evaluate, and optimize agent performance using KPIs (accuracy, latency, cost per task). Ensure solutions meet compliance, security, and ethical AI guidelines. Create client-facing technical documentation, capability roadmaps, and training material. Qualifications we seek in you! Minimum Qualifications Strong understanding of LLMs, autonomous agent frameworks, and workflow orchestration tools. Proficiency in prompt engineering and multi-agent task coordination. Experience in integrating AI solutions with enterprise tools (Salesforce, ServiceNow, SAP, Dynamics, etc.). Analytical mindset with ability to define measurable success metrics. Excellent communication skills for both technical and business audiences. Why join Genpact Lead AI-first transformation - Build and scale AI solutions that redefine industries Make an impact - Drive change for global enterprises and solve business challenges that matter Accelerate your career &mdashGain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills Grow with the best - Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace Committed to ethical AI - Work in an environment where governance, transparency, and security are at the core of everything we build Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up. Let&rsquos build tomorrow together. 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. 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 %27starter kit,%27 paying to apply, or purchasing equipment or training.

Key Responsibilities: Design, build, and maintain CI/CD pipelines for GenAI model development, training, and deployment. Automate provisioning and scaling of infrastructure for GenAI workloads using tools like Terraform , Ansible , or Pulumi . Optimize GPU/TPU usage and monitor model performance in production environments. Integrate GenAI workflows (e.g., LLM fine-tuning, embedding generation, RAG pipelines) into production-grade infrastructure. Collaborate with ML Engineers, Data Scientists, and Platform Engineers to ensure reproducibility, versioning, and traceability of models and datasets. Implement observability for GenAI workloads (logging, monitoring, alerting). Ensure best practices around security, compliance, and cost optimization in cloud and hybrid environments Role & responsibilities Preferred candidate profile 5+ years of DevOps / MLOps experience, with at least 12 years in GenAI-focused environments. Strong proficiency in automation tools: Docker, Kubernetes, Terraform, Jenkins/GitLab CI, Helm . Hands-on experience with LLMs , transformer-based models , or GenAI frameworks (e.g., Hugging Face, LangChain, OpenAI, or similar). Deep understanding of cloud platforms (AWS/GCP/Azure), especially AI/ML services like Sagemaker, Vertex AI, or Azure ML. Experience in monitoring large-scale systems (Prometheus, Grafana, ELK). Familiarity with model/version management tools (MLflow, Weights & Biases, DVC). Strong scripting skills – Python, Bash, or Go

As an Agentic AI Developer, you will be responsible for designing, building, and deploying intelligent agents capable of autonomous decision-making, tool usage, and multi-step task execution. Your expertise in cutting-edge AI technologies and experience with large language models and agent frameworks will be crucial for the successful execution of this role. Your key responsibilities will include designing and implementing AI agents using frameworks such as LangChain, AutoGen, or OpenAI Agents SDK. You will also be required to integrate agents with external tools, APIs, and databases, develop workflows for autonomous task execution, and optimize agent performance through prompt engineering and memory management. Collaboration with product and engineering teams to align agent capabilities with business goals and monitoring and maintaining deployed agents in production environments will also be part of your role. To excel in this position, you must possess a strong proficiency in Python and have experience working with LLMs such as GPT-4, Claude, and Gemini. Familiarity with agent frameworks and orchestration tools, experience with API integration, vector databases, and retrieval-augmented generation (RAG) are essential requirements. An understanding of autonomous systems, decision trees, and reinforcement learning would be a plus. Additionally, excellent problem-solving and communication skills are necessary for this role. While not mandatory, experience with cloud platforms (AWS, Azure, GCP), a background in machine learning or NLP research, and contributions to open-source AI projects would be considered advantageous in this position.,

As an AI/Machine Learning Engineer at our organization, you will play a key role in developing innovative solutions using machine learning technology to drive business success. Working closely with a diverse team of data scientists, software engineers, and product managers, you will be responsible for designing, developing, and maintaining robust machine learning models and workflows. Your focus will be on transforming raw data into actionable insights, optimizing algorithms for performance, and integrating AI capabilities into dynamic applications to enhance user experiences and functionality. Your primary responsibilities will include creating end-to-end workflows for training and inference pipelines of machine learning models, designing and implementing multi-step workflows using Python and frameworks like LangChain and LangGraph, building and optimizing RAG pipelines using vector stores such as FAISS and AWS OpenSearch, processing and analyzing time series data using libraries like Pandas and NumPy, and collaborating with other developers to deploy and maintain applications across different platforms. To be successful in this role, you should have a Bachelor's degree in Computer Science, Information Technology, Software Engineering, or a related field, along with at least 3 years of experience as a Machine Learning Engineer or AI Developer. Proficiency in Python programming and familiarity with libraries such as scikit-learn, Numpy, Pandas, TensorFlow, and PyTorch is essential. Additionally, you should have experience with building APIs, integrating third-party libraries, and working with AWS or Azure services. Your strong problem-solving skills, ability to work under pressure, and excellent communication abilities will be crucial in engaging with various collaborators and delivering high-quality solutions. You should also be comfortable switching between different projects as needed and have experience with backend integrations and deploying AI/ML models in production environments. Join our central Digital Products and Solutions team at Siemens Energy, where we are dedicated to developing software solutions for internal and external customers. As part of a global team committed to sustainability, innovation, and energy transformation, you can make a real impact and contribute to our mission of creating sustainable, reliable, and affordable energy solutions for a better future. Siemens Energy values diversity and inclusion, celebrating individual differences and fostering a culture of creativity and collaboration. By joining our team, you will have the opportunity to work remotely, collaborate with a distributed team, lead innovative projects, enjoy medical benefits, paid holidays, parental leave, and access continual learning opportunities through the Learn@Siemens-Energy platform. Discover how you can be part of our exciting journey at Siemens Energy and contribute to shaping the future of energy technology.,

We are seeking a highly experienced Lead Backend Engineer with a strong background in Node.js and deep expertise in Generative AI, LLMs (Large Language Models), and Chatbot development. You will have a significant role in the design, development, and scaling of backend systems that support AI-driven applications and conversational interfaces. Your responsibilities will include designing and implementing scalable backend services and APIs using Node.js and modern frameworks such as Express and NestJS. You will lead the architecture and integration of LLMs (OpenAI, Anthropic, open-source models) into production applications, focusing on prompt engineering to fine-tune LLM outputs for specific business tasks. Additionally, you will be responsible for building and optimizing chatbot platforms and conversational AI pipelines. Collaboration with AI/ML engineers, frontend developers, product managers, and designers to deliver robust AI-driven features is a key aspect of this role. You will guide and mentor a team of engineers through best practices in backend engineering, code quality, and system design. Implementing observability, performance tuning, and API reliability measures will also be part of your responsibilities. Staying up to date with advancements in GenAI, NLP, and emerging LLM capabilities is essential. To be successful in this role, you should have 7-10 years of backend development experience with a strong foundation in Node.js. Proven experience in building and deploying applications using LLMs and Generative AI (OpenAI, Claude, Llama, etc.) is required. A solid understanding of Prompt Engineering, prompt tuning, and context management for LLMs is crucial. Experience with chatbot frameworks such as Dialogflow, Rasa, Botpress, or custom solutions is necessary. Strong knowledge of RESTful APIs, WebSockets, and asynchronous programming is expected. Familiarity with vector databases (Pinecone, Weaviate, FAISS) and retrieval-augmented generation (RAG) is a plus. Proficiency in working with cloud platforms (AWS/GCP/Azure), a strong understanding of system design, architecture patterns, and scalability principles, as well as excellent problem-solving, communication, and leadership skills are important for this role.,

As an AI Research Engineer at Mantra Softech, a technology leader in biometric solutions venturing into AI-powered smart home devices, you will play a crucial role in shaping the future of connected living. Your primary responsibility will be to lead initiatives in LLMs, Edge AI, sensor fusion, ML Models, and natural language interfaces to develop AI-powered experiences across innovative smart home devices. You will be instrumental in designing and developing GenAI-driven AI agents capable of interpreting multimodal inputs and executing context-aware actions. Your role will involve driving initiatives in agentic AI frameworks, architecting LLMOps workflows, and deploying real-time AI applications across cloud and edge environments with a focus on performance and reliability. To excel in this role, you must have a proven track record of designing, deploying, and delivering AI/ML systems into production, with expertise in LLMs, GenAI pipelines, prompt engineering, and agentic AI. Proficiency in Python (and/or C/C++), PyTorch/TensorFlow, and AI/ML frameworks is essential, along with experience in LLMOps, time-series analysis, model optimization, and SQL. Preferred skills for this role include familiarity with LangChain, LlamaIndex, digital twins, telemetry, AI safety, cloud deployment, and microservices. A master's degree in AI/ML, Computer Science, or a related field from a reputed institute, coupled with 4-6 years of industry experience in GenAI and production deployments, is required. If you are passionate about GenAI applications, AI agents, and transforming natural language prompts into actionable insights, this role offers you the opportunity to work on cutting-edge AI projects that will drive the future of connected living. Join us at Mantra Softech and be part of a world-class AI team that is revolutionizing the way we interact with smart home devices.,

You are a talented and experienced Senior AI Developer with over 5 years of professional experience. You have a diverse skill set covering front-end, back-end, AI engineering, cloud technologies, and databases. Your expertise includes working with technologies such as React, Typescript, and Chakra-UI for front-end development, Python, Fast API, and Pydantic for back-end frameworks, and AI frameworks like TensorFlow or PyTorch for artificial intelligence engineering. In your role, you will be responsible for developing and maintaining scalable front-end applications, designing robust back-end solutions, and implementing AI solutions to fine-tune machine learning models. You will collaborate with cloud services using AWS for application deployment and management, as well as design and manage databases ensuring data integrity and optimization. You possess a Bachelor's or master's degree in Computer Science, Statistics, Mathematics, or a related field. Additionally, you have proven experience as a Data Scientist with a track record of delivering impactful data-driven solutions. Your strong problem-solving skills and ability to think critically enable you to develop innovative solutions, while your excellent communication and collaboration skills allow you to effectively convey complex technical concepts to various stakeholders. Your experience working in Agile methodologies within distributed teams showcases your ability to collaborate effectively and deliver results. Your attention to detail and the capability to manage multiple projects simultaneously set you apart as a reliable and independent contributor. Overall, your expertise in AI development, cloud technologies, and database systems make you a valuable asset to our dynamic team.,

As a Python Engineer at NextBurb, you will be responsible for building robust Python-based systems to process and analyze real estate data at scale. You will have the opportunity to apply LLMs and AI tools to rank properties, recommend neighborhoods, and personalize user experiences. Additionally, you will automate data flows, web scraping, API integrations, and enrichment pipelines, connecting to tools like Zillow, Google Maps, Vector DBs, and CRM APIs + Real Estate MLS. Furthermore, you will contribute to building internal tools that enable the team to work more efficiently, from dashboards to data validators. To excel in this role, you should have at least 2 years of professional experience, although recent graduates and self-taught developers are also welcome. Proficiency in Python and a keen interest in data, automation, and applied AI are essential. Experience with LLM APIs (such as OpenAI, Claude), vector databases, or tools like LangChain will be advantageous. You should enjoy solving complex data problems and writing clean, modular code. Exposure to FastAPI, Postgres, Redis, or frontend technologies like React would be considered a bonus. At NextBurb, you will have the opportunity to earn in USD with performance-based annual bonuses. You will benefit from remote work flexibility, allowing you to manage your own time and workspace. Your work will have a direct impact on the business as you will see your contributions go live and drive business outcomes. Working at NextBurb means collaborating directly with technical founders in a high-trust, no-BS team environment. If you are a dynamic individual who is passionate about working with cutting-edge technology, enjoys fast-paced environments, and is fluent in AI tools, then apply now or share this opportunity with someone who would be a perfect fit for this role at NextBurb.,

About the role: As a Senior Software Engineer - Generative AI, you will play a critical role in designing, developing, and deploying AI-powered applications. You will work across the stack, integrating advanced generative models (LLMs) and cloud infrastructure into full-scale web and mobile solutions. You'll collaborate with cross-functional teams and help drive innovation through hands-on coding, architectural input, and engineering best practices. What You'll Do: - Build and Deploy: Design and develop robust full-stack applications using Python (backend) and modern frontend frameworks (React, Angular, etc.). - Generative AI Development: Apply LLMs and other generative models (e.g., GPT-3/4, transformers) to build scalable, intelligent systems. - Architect Solutions: Contribute to the architectural design of AI-powered products that are scalable, maintainable, and cloud-native. - Mentor and Collaborate: Support junior developers through mentorship while closely collaborating with product managers, data scientists, and designers. - Cloud Engineering: Deploy, monitor, and optimize applications and models using cloud services (AWS, GCP, or Azure). - Maintain High Standards: Uphold coding best practices, conduct peer reviews, and write clean, well-documented code. - Continuous Innovation: Stay abreast of developments in full-stack engineering, generative AI, and cloud platforms to integrate emerging technologies into projects. On your first day, we'll expect you to have: - Bachelor's or Master's degree in Computer Science, Engineering, or related field. - 4-7 years of hands-on experience in full-stack software development with a strong focus on Python-based backends. - Experience building and integrating generative AI models (e.g., GPT-3, GPT-4, transformers, RAG pipelines). - Proficiency in web frameworks such as Django, Flask, or FastAPI. - Solid experience with frontend frameworks like React, Angular, or Vue.js. - Strong understanding of cloud platforms (AWS, GCP, or Azure) and deploying scalable applications. - Demonstrated ability to work autonomously and in collaborative, agile teams. - Experience mentoring junior engineers or leading small project teams is a plus. Benefits: At Calfus, we value our employees and offer a strong benefits package. This includes medical, group, and parental insurance, coupled with gratuity and provident fund options. Further, we support employee wellness and provide birthday leave as a valued benefit. Calfus is an Equal Opportunity Employer. We believe diversity drives innovation. We're committed to creating an inclusive workplace where everyoneregardless of background, identity, or experiencehas the opportunity to thrive. We welcome all applicants!,

NTT DATA strives to hire exceptional, innovative, and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking an AI Solution Architect to join our team in Bangalore, Karnataka (IN-KA), India (IN). Role: - AI Solution Architect Experience: - 7+ Years Notice Period: - 30-60 Days Project Overview: We are seeking a seasoned AI Architect with strong experience in Generative AI and Large Language Models (LLMs) including OpenAI, Claude, and Gemini to lead the design, orchestration, and deployment of intelligent solutions across complex use cases. You will architect conversational systems, feedback loops, and LLM pipelines with robust data governance, leveraging the Databricks platform and Unity Catalog for enterprise-scale scalability, lineage, and compliance. Role Scope / Deliverables: - Architect end-to-end LLM solutions for chatbot applications, semantic search, summarization, and domain-specific assistants. - Design modular, scalable LLM workflows including prompt orchestration, RAG (retrieval-augmented generation), vector store integration, and real-time inference pipelines. - Leverage Databricks Unity Catalog for: - Centralized governance of AI training and inference datasets - Managing metadata, lineage, access controls, and audit trails - Cataloging feature tables, vector embeddings, and model artifacts - Collaborate with data engineers and platform teams to ingest, transform, and catalog datasets used for fine-tuning and prompt optimization. - Integrate feedback loop systems (e.g., user input, signal-driven reinforcement, RLHF) to continuously refine LLM performance. - Optimize model performance, latency, and cost using a combination of fine-tuning, prompt engineering, model selection, and token usage management. - Oversee secure deployment of models in production, including access control, auditability, and compliance alignment via Unity Catalog. - Guide teams on data quality, discoverability, and responsible AI practices in LLM usage. Key Skills: - 7+ years in AI/ML solution architecture, with 2+ years focused on LLMs and Generative AI. - Strong experience working with OpenAI (GPT-4/o), Claude, Gemini, and integrating LLM APIs into enterprise systems. - Proficiency in Databricks, including Unity Catalog, Delta Lake, MLflow, and cluster orchestration. - Deep understanding of data governance, metadata management, and data lineage in large-scale environments. - Hands-on experience with chatbot frameworks, LLM orchestration tools (LangChain, LlamaIndex), and vector databases (e.g., FAISS, Weaviate, Pinecone). - Strong Python development skills, including notebooks, REST APIs, and LLM orchestration pipelines. - Ability to map business problems to AI solutions, with strong architectural thinking and stakeholder communication. - Familiarity with feedback loops and continuous learning patterns (e.g., RLHF, user scoring, prompt iteration). - Experience deploying models in cloud-native and hybrid environments (AWS, Azure, or GCP). Preferred Qualifications: - Experience fine-tuning or optimizing open-source LLMs (e.g., LLaMA, Mistral) with tools like LoRA/QLoRA. - Knowledge of compliance requirements (HIPAA, GDPR, SOC2) in AI systems. - Prior work building secure, governed LLM applications in highly regulated industries. - Background in data cataloging, enterprise metadata management, or ML model registries. About NTT DATA: NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize, and transform for long-term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation, and management of applications, infrastructure, and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com,

As an experienced AI Software Engineer, you will be responsible for designing, developing, and deploying Agentic AI applications and advanced software solutions leveraging Large Language Models (LLMs) and modern AI tools. Your primary focus will be on building autonomous AI agents, integrating them with business systems, and delivering production-grade applications that effectively solve complex problems. Your key responsibilities will include designing and developing agentic AI systems capable of autonomous reasoning, planning, and execution. You will also be integrating LLMs (such as OpenAI, Anthropic, Mistral, LLaMA, etc.) into scalable software applications, and building and optimizing multi-agent workflows using frameworks like LangChain, AutoGen, CrewAI, or custom solutions. Additionally, you will implement vector databases (Pinecone, Weaviate, FAISS, Milvus) for semantic search and retrieval-augmented generation (RAG), fine-tune LLMs or use instruction-tuning and prompt engineering for domain-specific tasks, develop APIs, microservices, and backend logic to support AI applications, collaborate with product teams to identify opportunities for AI automation, and deploy applications to cloud platforms (AWS/GCP/Azure) with a focus on security, scalability, and reliability. Monitoring, testing, and improving model performance through real-world feedback loops will also be part of your responsibilities. To qualify for this role, you should have at least 2+ years of experience in software development using Python, Node.js, or similar technologies, along with 1+ years of hands-on experience in AI/ML development, specifically with LLMs. Additionally, you should have a minimum of 1 year of experience in building autonomous AI agents or agent-based applications, a strong understanding of AI orchestration frameworks like LangChain, AutoGen, CrewAI, etc., experience with vector databases and embedding models, and cloud deployment experience (AWS Lambda, EC2, ECS, GCP Cloud Run, Azure Functions). Strong problem-solving skills, the ability to work independently, and an ownership mindset are also required. Preferred skills for this role include experience with multi-modal AI (text, image, audio), knowledge of data pipelines, ETL, and real-time event-driven architectures, a background in NLP, transformers, and deep learning frameworks (PyTorch, TensorFlow), familiarity with DevOps, CI/CD pipelines, and container orchestration (Docker, Kubernetes), and contributions to open-source AI projects or publications in AI/ML. In return for your expertise, we offer a competitive salary, performance-based bonuses, flexible working hours, remote work opportunities, exposure to cutting-edge AI technologies and tools, and the opportunity to lead innovative AI projects with real-world impact. This is a full-time, permanent position with benefits including Provident Fund. If you meet the required qualifications and have the desired skills, we look forward to welcoming you to our team on the expected start date of 19/08/2025.,

At NiCE, we believe in pushing boundaries and challenging ourselves constantly. We are a team of ambitious individuals who are dedicated to being game changers and always strive to emerge victorious. If you are someone who shares our passion for excellence, we have an exciting career opportunity that will ignite a spark within you. The role revolves around the development of the next-generation advanced analytical cloud platform within Actimize's AI and Analytics Team. This platform aims to leverage data to enhance the accuracy of our clients" Financial Crime programs. As a part of the PaaS/SaaS development group, your responsibilities will include crafting this platform for Actimize's cloud-based solutions and working with cutting-edge cloud technologies. NICE Actimize stands as the leading provider of financial crime, risk, and compliance solutions for financial institutions globally. We value the contributions of every employee as crucial to our company's growth and triumph. To attract top talent worldwide, we offer a dynamic work environment, competitive compensation, benefits, and promising career prospects. Join us to share, learn, and grow in a challenging yet enjoyable setting within a rapidly expanding and esteemed organization. The primary objective of this role is to develop and execute advanced analytics projects comprehensively, covering aspects such as data collection, preprocessing, model development, evaluation, and deployment. You will be tasked with designing and implementing predictive and generative models to derive actionable insights from complex datasets. Your expertise in statistical techniques and quantitative analysis will be pivotal in identifying trends, patterns, and correlations in the data. Collaborating with Product, Engineering, and domain SMEs, you will translate business issues into analytical solutions. Moreover, mentoring junior data scientists, advocating best practices in code quality, experimentation, and documentation, is an integral part of this role. To qualify for this position, you should hold a Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field, with a preference for an advanced degree (Master's or Ph.D.). You must possess 2-4 years of hands-on experience in data science and machine learning, including a minimum of 2 years in Generative AI development. Proficiency in programming languages like Python or R, along with experience in data manipulation and analysis libraries, is essential. A strong grasp of machine learning techniques, algorithms, LLMs, NLP techniques, and evaluation methods for generative outputs is required. Your problem-solving skills, ability to work independently and collaboratively, excellent communication, and leadership qualities are key attributes we seek. Preferred qualifications include prior experience in finance or banking industries, familiarity with cloud computing platforms, knowledge of data visualization tools, and a track record of contributions to the data science community. Hands-on experience with vector databases and embedding techniques would be advantageous. Join NiCE as we disrupt the market with our innovative solutions and global presence. Be part of a team that thrives in a fast-paced, collaborative, and creative environment, where learning and growth opportunities are endless. If you are passionate, innovative, and eager to excel, you might just be the perfect addition to our team. Experience NiCE-FLEX, our hybrid work model that offers maximum flexibility - 2 days in the office and 3 days of remote work each week. Office days focus on face-to-face interactions, fostering teamwork, collaborative thinking, and a vibrant atmosphere that sparks innovation and new ideas. If you are ready to embark on a rewarding journey with NiCE, apply now and seize the opportunity to work with the best of the best in a company that leads the market in AI, cloud, and digital domains. Requisition ID: 8296 Reporting into: Tech Manager Role Type: Data Scientist About NiCE: NICELtd. (NASDAQ: NICE) is a global leader in software products, serving over 25,000 businesses worldwide, including 85 of the Fortune 100 companies. Our solutions deliver exceptional customer experiences, combat financial crime, and ensure public safety. NiCE software manages more than 120 million customer interactions and monitors over 3 billion financial transactions daily. Renowned for our innovation in AI, cloud, and digital technologies, NiCE has a workforce of over 8,500 employees across 30+ countries and is consistently acknowledged as the market leader in its domains.,

You will be joining BMC, where trust is not simply a word, but a fundamental aspect of our culture. We take pride in being an award-winning, equal opportunity organization that values diversity and provides a fun and supportive work environment. At BMC, giving back to the community is a driving force behind our daily efforts to improve. We understand the importance of work-life balance and encourage you to prioritize your commitments, knowing that your best work will come from a place of equilibrium. Your successes will be celebrated and acknowledged, while your colleagues will offer inspiration, motivation, and a good laugh when needed. As part of BMC, you will play a pivotal role in assisting our customers in achieving autonomy as a Digital Enterprise, positioning them to seize opportunities and drive innovation. This is a remarkable opportunity to reshape enterprise IT from within, positioning it not only as a support function but as a catalyst for innovation driven by agentic AI. You will be at the forefront of a transformative journey, backed by strong leadership support and the chance to make a meaningful impact. As an Enterprise IT Architect at BMC, you will lead the charge in transforming our IT organization into an Agentic AI-driven powerhouse. Your responsibilities will include designing modern, scalable IT platforms that leverage AI capabilities to optimize operations, automate processes, and showcase innovation at scale. You will collaborate across various domains such as infrastructure, applications, data, security, and operations to embed agentic capabilities into the core of enterprise IT. In this role, you will contribute to BMC's success by: - Architecting AI-native IT Systems that integrate autonomous AI agents across various IT functions - Enabling Agentic AI Use Cases by translating IT objectives into practical applications across different areas - Driving Platform Modernization efforts to transition legacy IT platforms into cloud-native, API-first, and AI-ready systems - Championing Automation & Observability through the implementation of intelligent automation and real-time monitoring capabilities - Collaborating Cross-functionally with engineering, security, and product teams to ensure seamless integration of AI agents - Evaluating and Adopting Technologies that align with enterprise goals and enhance AI transformation in IT - Ensuring Security and Governance standards are met by AI-driven architectures to mitigate risks and ensure compliance To excel in this role, you should possess: - 10+ years of experience in enterprise IT architecture, with a minimum of 3 years in AI technologies - Proven expertise in architecting solutions involving AI agents and cloud platforms such as AWS, Azure, and GCP - Deep understanding of AI orchestration frameworks, LLMs, agent stacks, and observability tools - Experience in designing IT solutions with a focus on resilience, security, and scalability - Strong knowledge of ITIL, SRE principles, DevOps practices, and enterprise systems - A passion for innovation, continuous improvement, and being a customer-centric advocate for AI-driven IT Preferred skills include familiarity with agent simulation environments, generative AI, vector databases, and cloud-native ML pipelines. A strategic mindset that balances innovation with risk, cost, and governance is highly valued in this role. At BMC, we prioritize our people and foster a culture that celebrates individuality and authenticity. With over 6000 brilliant minds working together globally, you will be recognized for who you are, not just as an employee number. We encourage individuals from diverse backgrounds and experiences to apply, as we believe in facing challenges with the best ideas from a variety of perspectives.,

As a Machine Learning Architect specializing in AI/ML solutions, your primary responsibility will be to design and implement advanced AI/ML platforms for enterprise-grade solutions. With over 8 years of experience in the field, including a minimum of 2 years in NLP, LLMs, and Generative AI, you will be instrumental in developing ML architecture, end-to-end model deployment, and production system integration. Your expertise in Python and deep knowledge of ML libraries and frameworks such as TensorFlow, PyTorch, Hugging Face, and LangChain will be crucial in your role. Additionally, you should have a sound understanding of transformer models, embeddings, tokenization, and vector databases like FAISS and Pinecone. Experience with cloud-native AI solutions on AWS, Azure, or GCP is required, along with familiarity in MLOps, containerization, and orchestration tools. Your hands-on experience in designing and engineering prompts for LLMs for use cases like summarization, classification, Q&A, and content generation will be essential. You should possess excellent problem-solving skills, architectural thinking, and the ability to lead complex AI initiatives. Strong communication, stakeholder management, and technical leadership capabilities are also key qualifications for this role. In this position, you will architect and implement scalable AI/ML solutions across various domains, leveraging modern ML, NLP, and Gen AI technologies. Your responsibilities will include designing LLM-powered applications, optimizing for prompt engineering, and leading AI pipelines" design and integration into production systems using MLOps and CI/CD practices. You will evaluate and recommend LLM models based on performance, cost, and alignment with use cases, collaborate with cross-functional teams to develop reusable ML components and foundational architectures, and drive model validation and continuous monitoring in production environments. Additionally, you will contribute to the development of an enterprise AI/ML platform, lead Gen AI initiatives, and mentor junior engineers while staying up-to-date with emerging trends in LLMs, AI tooling, and open-source technologies. If you are looking for a challenging opportunity to drive innovation in AI/ML architectures and work with cutting-edge technologies in a hybrid work environment based in Gachibowli, Hyderabad, India, this role is tailored for you. Join us in transforming the future of AI/ML solutions with your expertise and leadership skills.,

As a Data Scientist and LLM Operations Specialist, you will need to have a minimum of 5+ years of experience in the field. Your primary responsibilities will include managing both structured and unstructured data with expertise in statistical techniques, predictive analytics, and reporting results. Additionally, you will be required to apply your skills in Natural Language Processing (NLP), Machine Learning (ML), Deep Learning (DL), and Multimodal Analysis. Your background should demonstrate a strong foundation in software development, data modeling, and data engineering. You must possess a deep understanding of building and scaling ML models, specifically LLMs, and be familiar with open-source tools like PyTorch, statistical analysis, and data visualization tools. Experience with vector databases and graph databases would be advantageous for this role. For the AI/ML Engineer position, you should have solid experience in business analytics, data science, software development, and data engineering. Proficiency in Python and frameworks such as PyTorch, TensorFlow, or ONNX is essential. Hands-on experience with LLMs and Generative AI, including model development and inference patterns, is crucial. You should also be capable of designing scalable systems using LLMs in distributed computing environments. Preferred skills for this role include expertise in prompt engineering, prompt optimization, and running experiments to evaluate generative AI performance. Knowledge of production-level monitoring tools for ML models, along with excellent problem-solving skills, is highly valued. You should be comfortable working cross-functionally with data scientists, engineers, and subject matter experts. Experience with safety, security, and responsible use of AI, as well as red-teaming of generative AI, would be beneficial. Previous experience in developing AI applications with sensitive data such as PHI, PII, and highly confidential data is also desirable. This position is contractual/temporary for a duration of 6 months, with the possibility of extension. The work schedule is during the day shift, and the job location is in Bangalore. If selected, you will be expected to join immediately or within a notice period of 15 days. Please be prepared to discuss your overall experience, comfort with a 6-month contract position, years of experience in Data Science & Machine Learning, expertise in NLP, Deep Learning, and Multimodal Analysis, as well as your experience with ML models, LLMs, managing structured and unstructured data, statistical techniques, predictive analytics, and various tools such as PyTorch, TensorFlow, and ONNX. Additionally, you will be asked about your experience in Data Modeling, Data Engineering, and your current and expected CTC. Should you meet the requirements and be selected for this role, you will be expected to work in person at the specified location.,

Prismforce is a Vertical SaaS company at the forefront of revolutionizing the Talent Supply Chain for global Technology, R&D/Engineering, and IT Services companies. Through our AI-powered product suite, we aim to enhance business performance by facilitating operational flexibility, accelerating decision-making processes, and boosting profitability. Our ultimate mission is to establish ourselves as the premier industry cloud/SaaS platform for tech services and talent organizations worldwide. We are currently seeking a highly experienced Data Scientist to join our team in Bangalore within the AI & ML department. In this role, you will be instrumental in leveraging your expertise in Natural Language Processing (NLP) and machine learning to develop customized AI solutions that address real-world talent intelligence challenges. The scope of your responsibilities will encompass a wide range of tasks, from data exploration and model development to evaluation and deployment, all while emphasizing the creation of robust, scalable systems utilizing cutting-edge techniques. As a Data Scientist at Prismforce, your key responsibilities will include: - Developing and fine-tuning models for Named Entity Recognition (NER), text classification, semantic similarity, and clustering - Utilizing pretrained embeddings, transformers, and Large Language Models (LLMs) to extract and standardize structured data from unstructured text - Designing and conducting experiments to assess model performance and drive enhancements - Collaborating closely with product and engineering teams to translate models into reliable, production-ready solutions - Continuously researching and exploring open-source tools to enhance performance and scalability The ideal candidate for this position should possess the following qualifications: - A minimum of 13 years of hands-on experience in applied NLP and ML - Proficiency in Python programming, along with familiarity with Pandas, Scikit-learn, PyTorch, or TensorFlow - Knowledge of modern NLP toolkits such as Spacy, HuggingFace Transformers, SBERT, among others - A solid grasp of embedding models, attention mechanisms, and evaluation metrics - The ability to deconstruct abstract problems and develop tailored, data-driven solutions Additionally, the following skills and experiences would be considered advantageous: - Prior exposure to LLM APIs, prompt engineering, or metadata generation using LLMs - Familiarity with knowledge graphs, taxonomy design, or vector databases - Contributions to open-source NLP tools or involvement in research projects within the field If you are a seasoned Data Scientist with a passion for NLP and ML, and you are eager to make a significant impact within our innovative team, we encourage you to apply and become a part of Prismforce's mission to reshape the future of talent intelligence.,