819 Llms Jobs - Page 6

Are you ready to work at a fast-growing company where you can make a difference Boomi aims to make the world a better place by connecting everyone to everything, anywhere. Our award-winning, intelligent integration and automation platform helps organizations power the future of business. At Boomi, you'll work with world-class people and industry-leading technology. We hire trailblazers with an entrepreneurial spirit who can solve challenging problems, make a real impact, and want to be part of building something big. If this sounds like a good fit for you, check out boomi.com or visit our Boomi Careers page to learn more. We are looking for a Principal Software Engineer (AI/ML) who is passionate about analytics and knowledgeable about the supporting platforms enabling analytic solutions. We need backend software engineers with strong technical expertise in AI/ML technologies to be part of a fast-growing, driven team playing a key role in Boomis future initiatives. Successful candidates will be expected to thrive in challenging environments and have a track record of delivering on commitments within a fast-paced Agile environment. Our team at Boomi is collaborative, self-starters with technical curiosity, and eager to help each other succeed. We value sharing new ideas and improvements, building and deploying smart services core to our platform, and taking pride in our work. If you are a team player with technical curiosity and a willingness to learn, you may be a good fit for our team. Responsibilities: - Collaborate throughout the software development lifecycle as a key member of the Agile team. - Guide and participate in the design, development, unit testing, and deployment of Boomi products and services. - Work independently with minimal guidance, delivering on commitments and meeting deadlines for complex initiatives. - Collaborate on organization-wide initiatives with other Agile development teams. - Research, validate, and recommend technologies for delivering robust, secure, and scalable services and architectures. - Set up, develop, and maintain best practices for the team, including thorough code reviews. - Provide architecture and detailed design documents for grooming and planning. - Investigate and resolve complex customer issues and mentor team members. - Keep up with the latest developments in the field through continuous learning and collaboration with data scientists, data engineers, and front-end engineers. Requirements: - Bachelors degree in computer science or a related field. - 8+ years of development experience with Java, Python. - Proficiency in SQL and Database technologies. - Knowledgeable about Generative AI technologies, LLMs, AI Agents. - Strong prior experience working with AWS services. - Experience developing microservices applications and deploying them using Docker and Kubernetes. - Strong problem-solving skills with an emphasis on product development. - Strong analytical, written, and verbal communication skills. - Experience with developing highly scalable, high throughput web applications and backend systems. - Experience using Linux/Unix environments. - Knowledge of Infrastructure provisioning tools like Terraform, Cloud Formation, Ansible. Be Bold. Be You. Be Boomi. We take pride in our culture and core values and are committed to being a place where everyone can be their true, authentic self. Our team members are our most valuable resources, and we look for and encourage diversity in backgrounds, thoughts, life experiences, knowledge, and capabilities. All employment decisions at Boomi are based on business needs, job requirements, and individual qualifications. Boomi strives to create an inclusive and accessible environment for candidates and employees. If you need accommodation during the application or interview process, please submit a request to talent@boomi.com. This inbox is strictly for accommodations; please do not send resumes or general inquiries.,

We have a job opening for GenAI Team Lead at PibyThree Consulting Services Pvt Ltd in Mumbai. The company is a Global Cloud Consulting & Services provider specializing in Cloud Transformation, Cloud FinOps, IT Automation, Application Modernization, and Data & Analytics. PibyThree aims to make businesses successful by leveraging technology for automation and enhanced productivity. As a Gen AI lead at PibyThree, you will be responsible for building both Traditional AI/ML systems and Generative AI-based systems. The ideal candidate should have a total experience of 5 to 7 years with hands-on experience in building language models, machine learning, and AI models using industry tools, products, and Azure cognitive services. Key Responsibilities: - Highly skilled in programming with the ability to assess, analyze, and organize large amounts of data - Expertise in large language models (LLMs/LSTMs/BERT) and exposure to Anthropic AI, OpenAI, among others - Experience in building, customizing, and fine-tuning AI models through GenAI studios (OpenAI, Vertex, or Bedrock) extended via Azure, AWS, or GCP for rapid PoCs - Proficiency in completions, embeddings, edits, transcriptions, translations, and moderations across various large language models - Knowledge of LlamaIndex and LangChain - Hands-on training and fine-tuning experience with distributed OpenAI models such as DaVinci, curie, Babbage, ADA - Programming skills in R, Python, SQL, Hive, Pig, and familiarity with Scala, Java, or C++ - Deep experience in applying machine learning algorithms with a strong data science and data engineering background - Understanding of cloud technology and Cognitive Services including Vision, Speech, Language, Decision, and Search - Previous projects leveraging GenAI services like Azure OpenAI, Bedrock, or Vertex - Knowledge of text/content representation techniques, statistics, and classification algorithms Good to have: - Exposure to Dataiku - Exposure to Snowflake and/or Databricks - AWS/Azure/Google Machine Learning certifications Requirements: - Bachelor's degree preferred - 5 years of total work experience with specific experience in Artificial Intelligence (2 years), Generative AI (1 year), and Machine Learning (3 years) - Generative AI Certification preferred This is a full-time position with an in-person work location and a day shift schedule. If you meet the qualifications and are interested in this role, please fill out the Google Form provided in the job description.,

We are seeking a highly motivated AI Engineer with a solid background in artificial intelligence and practical experience in developing AI-driven products. As an AI Engineer, you will play a key role in the design, development, and deployment of AI models and solutions that enhance our range of products and services. This position is particularly well-suited for recent graduates who have gained hands-on experience through internships, academic projects, or previous roles in the AI field. Your responsibilities will include designing, optimizing, and implementing machine learning (ML) and deep learning (DL) models to enhance AI-powered applications. You will collaborate closely with data scientists and software engineers to gather, preprocess, and analyze large datasets for AI training and inference. Additionally, you will be involved in fine-tuning AI algorithms for various tasks such as natural language processing (NLP), computer vision, recommendation systems, and predictive analytics. Ensuring the scalability, efficiency, and reliability of AI models in production environments will be a critical aspect of your role. You will work collaboratively with cross-functional teams to seamlessly integrate AI solutions into our products and business processes. Staying abreast of the latest advancements in AI, ML, and deep learning will be essential, and you will be expected to write clean, efficient, and well-documented code using Python, LangChain, or other AI frameworks. Your involvement in model evaluation and consultation with other teams to assist the CEO of the unit will be pivotal in driving the success of our AI initiatives. Requirements: - Bachelor's or Master's degree in Artificial Intelligence, Data Science, or equivalent experience of at least 5 years. - Proficiency in Python and familiarity with SQL and JavaScript. - Experience with Agentic AI. - Knowledge of cloud platforms such as AWS, Azure, Google Cloud, and MLOps tools. - Understanding of data structures, algorithms, and software engineering principles, including prototyping. - Hands-on experience with data preprocessing, feature engineering, and model evaluation techniques. - Strong problem-solving skills and the ability to thrive in a fast-paced, collaborative environment. - Excellent communication skills to effectively convey technical concepts to non-technical stakeholders. - Familiarity with LLMs and tools like openAI, Deepseek for AI applications. - Experience in building presentations and consulting. Preferred Qualifications: - Practical experience with real-world AI applications, whether through internships, research, or personal projects. - Familiarity with version control systems (Git), CI/CD pipelines, and containerization (Docker, Kubernetes). What We Offer: - Competitive Salary and Bonus to acknowledge your expertise and contributions. - Hybrid work environment allowing for a mix of remote work and in-office collaboration. - Inclusive Onboarding Experience tailored to set you up for success from day one. - Marcura Wellness Zone to support your work-life balance and overall well-being. - Global Opportunities within our ambitious and expanding company. - Monthly Performance Support through our modern performance management framework. - Diverse, Supportive Work Culture committed to inclusion, diversity, and belonging for all team members. If you are passionate about AI and excited to apply your skills to real-world maritime challenges, we encourage you to apply and join our innovative AI team. Your expertise and dedication will play a crucial role in shaping the future of our AI-driven products and services.,

DESCRIPTION Join our Trustworthy Shopping Experience Operations Tech (TSE Ops Tech) team in building next generations of global compliance product through the integration of software engineering fundamentals and latest generative AI technologies. You will work with an international team of product managers and stakeholders, tackling complex software architecture design challenges and building highly scalable AI-first to create safer, more intelligent marketplace experiences for both sellers and customers. Key Focus Areas: . Developing AI-powered systems for automated product safety assessment and compliance verification . Building intelligent catalog management solutions using natural language processing and computer vision . Creating generative AI tools to enhance seller safety and compliance processes . Designing scalable architectures that combine traditional services with AI/ML capabilities The Ideal Candidate Will Have: . Strong software engineering fundamentals and experience with distributed systems . Knowledge of machine learning frameworks and generative AI technologies (e.g., transformers, LLMs) . Experience with AI model deployment, optimization, and monitoring in production environments . Ability to tackle complex problems through data-driven experimentation What We Offer: . Opportunity to work with state-of-the-art AI technologies and shape their application in e-commerce . Exposure to global markets and diverse technical challenges . Full-stack development experience across AI and traditional systems . Collaboration with international teams of applied scientists, engineers, and product managers . Innovation-focused environment with emphasis on continuous learning and experimentation Key job responsibilities . Collaborate with experienced cross-disciplinary Amazonians to conceive, design, and bring innovative products and services to market. . Design and build innovative technologies in a large distributed computing environment and help lead fundamental changes in the industry. . Create solutions to run predictions on distributed systems with exposure to innovative technologies at incredible scale and speed. . Build distributed storage, index, and query systems that are scalable, fault-tolerant, low cost, and easy to manage/use. . Design and code the right solutions starting with broadly defined problems. . Work in an agile environment to deliver high-quality software About the team Trustworthy Shopping Experience (TSE) org is part of SPS and strives to guarantee customers a trustworthy shopping and ordering experience so they can shop with confidence on Amazon. TSE Ops org caters to the operational needs of TSE. TSE Ops Tech team is part of the TSE Ops. Within TSE Ops it focuses on the needs of the Regulatory Intelligence, Safety and Compliance (RISC) programs. COMS Team owns Medux, Human In The Loop (HITL) system that facilitates Operations teams with automated work allocation, skill management and dynamic work execution interfaces to facilitate manual action catering to multiple compliance requirements. BASIC QUALIFICATIONS - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 3+ years of Video Games Industry (supporting title Development, Release, or Live Ops) experience - Experience programming with at least one software programming language PREFERRED QUALIFICATIONS - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Responsibilities Build and deploy applications using LLM APIs. Implement LLM chaining and agentic AI workflows. Develop, test, and optimize GenAI solutions. Integrate AI modules with broader application ecosystems. Mentor junior developers. Requirements Hands-on experience implementing GenAI applications. Experience with prompt engineering and fine-tuning models. Knowledge of LLM chaining, orchestration frameworks, and agent-based architectures. Strong coding, debugging, and API integration skills. Minimum 2 years of relevant GenAI work.

As an AI Architect Senior Consultant in Infosys Global Consulting Practice, you will play a crucial role in leading the design and implementation of cutting-edge AI solutions for clients across various industries. Your responsibilities will include designing AI solutions such as Generative AI and Conversational AI, ensuring scalability, security, compliance, and adherence to Responsible AI guidelines. You will also architect and deploy robust AI/ML models on both Cloud-based and on-premises infrastructures, optimizing for performance and efficiency in real-world applications. Your expertise in NLP, LLMs, and Computer Vision will be instrumental in guiding the team to identify and select the most optimized solutions for client needs. Building strong relationships with key decision-makers and technical teams at major hyperscalers like AWS, Azure, and GCP will be essential. Managing multiple projects concurrently, collaborating with cross-functional teams, and staying updated on the latest advancements in AI/ML research and technologies will be key aspects of your role. To qualify for this position, you must have a Master's degree in computer science, Artificial Intelligence, or a related field, along with 11+ years of experience in designing, developing, and deploying AI/ML solutions. You should have a proven track record of leading complex AI projects and expertise in Traditional Machine Learning, NLP, and cloud platforms such as AWS, GCP, and Azure. Strong problem-solving skills, excellent communication abilities, proficiency in Python, and knowledge of Probability Statistics, Optimization techniques, and containerization technologies are highly valued. Joining Infosys Consulting means becoming part of a global management consulting firm that helps renowned brands transform and innovate using disruptive technology. Our consultants are industry experts driving change agendas to create lasting competitive advantage. If you are passionate about AI architecture and ready to drive innovation in a dynamic environment, we invite you to explore this exciting opportunity with us. For more information about Infosys Consulting and to explore our transformative solutions across Business Transformation, Enterprise Technology Strategy, and Strategy and design domains, visit www.InfosysConsultingInsights.com.,

Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end to end, simplified solutions. The Microsoft Security organization accelerates Microsoft's mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers heterogeneous environments, as well as ensuring the security of our own internal estate. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world. The Purview AI Research team leads the charge in advancing artificial intelligence, conducting groundbreaking research across deep learning, NLP, LLMs, RL, and graph-based approaches. Our expertise lies in developing sophisticated agentic systems, including cutting-edge innovations that leverage RL fine-tuning of LLMs to create intelligent solutions capable of autonomous reasoning, adaptation, and action. Our mission is to stay ahead of emerging technological trends and seamlessly embed transformative AI capabilities into our product ecosystem. We aim to deliver solutions that not only address current challenges but also pave the way for the future of applied AI and data science. We are seeking a passionate Principal Applied AI Scientist/Engineer to join our team. The ideal candidate is deeply engaged with the latest AI advancements, committed to team success, and skilled in delivering high-quality, production-ready code. This role offers the opportunity to collaborate with world-class applied AI researchers to develop new methodologies, tools, and frameworks that demonstrate how AI-powered innovations can redefine Microsoft Security-ushering in a new era of securing and managing our customers digital estates. Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Job Title: Full-Stack Developer & AI Consultant Key Skills: Full Stack Development Generative AI / LLM MLOps & AI Deployment Cloud Platfor NLP Data Engineering Ethical AI For Apply: Send CV to shilpi.shrivastava@rspinnovations.com

At least 4 years focused on AI & ML solutions. AI Engagements Strategic Consulting & Road mapping LLM/RAG Solution Design & Implementation Agentic Systems Hands-on Prototyping Thought Leadership

What will you do Variety instead of daily routine! Team spirit instead of rigid hierarchies! Actively supports in acheiving the project, team and sprint goals and has the necessary skills and knowledge in order to do so/or works her/his way to get there Take over responsibility for development and operations for our clients most important and innovative AI based applications. Work on GenAI concepts using LLMs and required frameworks like LangChain, LangGraph etc. Work as a DevOps Engineer in a challenging cloud-based (mostly AWS, but also Azure) environment Design, built and improve AI based applications composed from different cloud services (native or containerized) and programming techniques (Python, Java, Angular) Direct communication and collaboration with international team and customer Makes sure that the done work is documented accordingly Makes sure that the status of your work is known and also updated in Jira Cloud Infrastructure Administration, Configuration management and setup of CI/CD Pipelines and testing You will work in a thoroughly agile environment, sprint based, using Jira and Confluence Takes over regular incident management shifts, both first and second shifts Offers assistance when the time and knowledge allow him to bring a benefit to the team What you should have Experience with the following main programming languages, technologies, frameworks, and tools: Cloud (AWS, Azure, able to work with different hyperscalers) - AWS is mandatory Python, Java, Angular GenAI, LLM Working with cloud native functions and containers Infrastructure as Code using Terraorm CI/CD cloud based, github API based development Open minded, eager to learn and adopt new technologies on the fly - better have broad relevant capabilities than to be a detailed expert on only on topic You will be in direct communication with our customer - communication skills and clear English are of high value Nice to have GitOps, GitHub Actions SQLAlchemy Google Apigee-X, REST

RocketFrog.ai is an AI Studio for Business, specializing in delivering advanced AI solutions across various industries such as Healthcare, Pharma, BFSI, Hi-Tech, and Consumer Services. We are focused on Agentic AI, Deep Learning models, and AI-driven Product Development to make a significant impact on businesses. Are you ready to take a Rocket Leap with Science As an Assistant Agentic AI Engineer at RocketFrog.ai, you will need at least 1 year of experience in developing LangChain/LangGraph-based solutions. The ideal candidate should possess a foundational understanding of LLMs, Prompt Engineering, AI Frameworks, and a strong willingness to learn and keep up with the latest advancements in AI. Your key responsibilities will include assisting in implementing Agentic AI frameworks like LangGraph, LangChain, CrewAI to develop intelligent workflows. You will work with various LLMs such as ChatGPT, Gemini, Claude to comprehend their capabilities and limitations. Additionally, you will support Prompt Engineering efforts to enhance LLM interactions and utilize Retrieval-Augmented Generation (RAG) techniques for improved AI response generation. Experimenting with pretrained models on platforms like Hugging Face/GitHub, contributing to system architectures using FastAPI, Uvicorn, Celery, and AI pipelines, and building interactive AI applications using Streamlit will also be part of your role. You will be involved in ML model development, applying the model development lifecycle and performance evaluation metrics while staying updated on new AI innovations through continuous learning. Required Skills & Expertise: - Basic experience in LangChain/LangGraph-based solutions, Prompt Engineering, Agentic AI frameworks, Retrieval-Augmented Generation (RAG) techniques, System architecture, AI/ML platforms, and ML Frameworks like Keras, TensorFlow, or PyTorch. - Proficiency in Streamlit for AI application development and strong foundational knowledge in Data Structures, Probability & Statistics, and Machine Learning Concepts. Additional Skills: - Ability to articulate AI/ML concepts to both technical and non-technical stakeholders. - Strong problem-solving skills and a keenness to learn. Required Background: - Bachelor's degree in Computer Science, IT, Data Science, or AI. - Hands-on experience of at least 1 year in AI/ML development. Why Join RocketFrog.ai - Be a part of RocketFrog.ai's growth journey and make a real business impact with AI. - Gain practical experience with cutting-edge AI technologies. - Learn from industry experts and advance your career in Agentic AI. If you are passionate about AI and eager to expand your skills, let's connect!,

As an Automation Engineer specializing in AI/ML model deployment, your primary responsibility will be to automate the deployment of AI/ML models and set up monitoring for the ML pipeline. This involves automating CI/CD pipelines to accommodate data, code, and model changes efficiently. You should have a strong programming background with a good understanding of machine learning algorithms, frameworks, and domain-specific knowledge. Your role will also entail querying and working with databases, testing ML models, and utilizing Git for version control. Familiarity with frameworks like Flask, FastAPI, Docker, Kubernetes, and experiment tracking tools such as MLflow are essential for this position. Additionally, you will be responsible for setting up and automating data pipelines using tools like Airflow, Kafka, and Rabbitmq. You will be expected to provide best practices and conduct proof of concepts (POCs) to streamline and automate model operations at scale. While not mandatory, it would be advantageous to have hands-on experience with large foundation models (e.g., LLMs) and associated toolchains (e.g., langchain) and APIs for developing applications, tools, and workflows for production environments. Overall, your role as an Automation Engineer will involve leveraging your technical expertise to automate AI/ML model deployment processes, optimize model operations, and ensure efficient monitoring of the ML pipeline.,

As an AI Coach, you will be responsible for staying at the forefront of AI research and applying the latest techniques in deep learning, computer vision, and NLP. Your role will involve designing and delivering AI-focused training programs, workshops, and courses for employees at all levels. You will develop learning paths tailored to different roles to enhance AI literacy and skills. Additionally, you will provide hands-on coaching for teams adopting AI tools and technologies in their workflows. Your key responsibilities include defining and executing the AI strategy roadmap, guiding employees in implementing AI solutions for real-world challenges, and offering personalized feedback and support for continuous improvement. You will collaborate with department heads to identify AI skill gaps and align training initiatives with organizational goals. Working closely with technical teams, you will provide insights into AI adoption and best practices. In terms of content creation, you will develop engaging learning materials such as e-learning modules, case studies, and AI application guides. You will also create knowledge repositories and documentation for self-paced learning. Monitoring the performance of AI training programs is crucial, and you will be responsible for assessing their effectiveness and refining them based on feedback and outcomes. Tracking employee progress and providing actionable recommendations for improvement will be part of your role. As an AI Coach, you will act as a champion for AI adoption within the organization, fostering a culture of innovation. It is essential to stay updated on AI trends, tools, and technologies and share relevant knowledge with employees. The position requires a Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or a related field, or equivalent experience. You should have at least 5 years of experience working in AI, machine learning, or related technologies, along with a proven track record of delivering training programs or coaching in a corporate environment. Strong understanding of LLMs, AI tools, frameworks (e.g., TensorFlow, PyTorch), and applications is necessary. Excellent communication, presentation, and interpersonal skills are also required. Preferred qualifications include a Master's degree in a related field, experience with e-learning platforms and instructional design, knowledge of AI ethics, responsible AI practices, and emerging AI trends, as well as certification in AI or machine learning (e.g., Google AI, AWS AI, or equivalent).,

Who We Are At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl We are always moving forward - always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities. The Role As a Data Scientist at Kyndryl you are the bridge between business problems and innovative solutions, using a powerful blend of well-defined methodologies, statistics, mathematics, domain expertise, consulting, and software engineering. You'll wear many hats, and each day will present a new puzzle to solve, a new challenge to conquer. You will dive deep into the heart of our business, understanding its objectives and requirements - viewing them through the lens of business acumen, and converting this knowledge into a data problem. You'll collect and explore data, seeking underlying patterns and initial insights that will guide the creation of hypotheses. Overview: We are seeking a highly skilled and experienced Senior Data Scientist with a minimum of 10 years of experience in Data Science and Machine Learning. The ideal candidate should have expertise in NLP, Generative AI, LLMs, MLOps, optimization techniques, and AI solution architecture. Familiarity with business processes in 1-2 domains (e.g., Financial, Telecom, Retail) is essential to quickly understand requirements and develop solutions. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable. Responsibilities: Lead the development and implementation of Generative AI and LLM projects, ensuring alignment with business objectives. Design and deploy Proof of Concepts (POCs) and Points of View (POVs) across various industry verticals, demonstrating the potential of Generative AI applications. Engage effectively with customers, showcasing and demonstrating the relevance and impact of Generative AI applications in their businesses. Collaborate with cross-functional teams to integrate AI/ML solutions into cloud environments (Azure, GCP, AWS, etc.). In this role, you will embark on a transformative process of business understanding, data understanding, and data preparation. Utilizing statistical and mathematical modeling techniques, you'll have the opportunity to create models that defy convention - models that hold the key to solving intricate business challenges. With an acute eye for accuracy and generalization, you'll evaluate these models to ensure they not only solve business problems but do so optimally. Additionally, you're not just building and validating models - you're deploying them as code to applications and processes, ensuring that the model(s) you've selected sustains its business value throughout its lifecycle. Your expertise doesn't stop at data you'll become intimately familiar with our business processes and have the ability to navigate their complexities, identifying issues and crafting solutions that drive meaningful change in these domains. You will develop and apply standards and policies that protect our organization's most valuable asset - ensuring that data is secure, private, accurate, available, and, most importantly, usable. Your mastery extends to data management, migration, strategy, change management, and policy and regulation. If you're ready to embrace the power of data to transform our business and embark on an epic data adventure, then join us at Kyndryl. Together, let's redefine what's possible and unleash your potential. Your Future at Kyndryl Every position at Kyndryl offers a way forward to grow your career. We have opportunities that you won't find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here. Who You Are You're good at what you do and possess the required experience to prove it. However, equally as important - you have a growth mindset keen to drive your own personal and professional development. You are customer-focused - someone who prioritizes customer success in their work. And finally, you're open and borderless - naturally inclusive in how you work with others. Required Technical and Professional Experience: Minimum of 10 years of experience in Data Science and Machine Learning, with expertise in NLP, Generative AI, LLMs, MLOps, optimization techniques, and AI solution architecture. Familiarity with business processes in 1-2 domains (e.g., Financial, Telecom, Retail) to quickly understand requirements and develop solutions. Graduate/Postgraduate in computer science, computer engineering, or equivalent with 10-12 years of experience in the IT industry. Past experience in responding to or solutioning for RFPs, customer proposals, and customer presentations/orals. Minimum 5-6 years of hands-on experience in a Data Scientist role or similar role. Strong understanding of Transformers, LLMs, Fine Tuning, Agents, and RAG techniques. Experience using LLM models on cloud platforms (OpenAI @ Azure, AWS Bedrock, GCP Vertex AI). Experience in AI/ML, with a focus on Generative AI and Large Language Models. Proven track record in working with major cloud platforms (Azure, GCP, AWS). Understanding of how to deploy LLMs on cloud/on-premise and use APIs to build industry solutions. Strong domain experience in at least two industries (e.g., Financial, Retail, Manufacturing, Telecom). Completed 2-3 projects in the domain of expertise. Strong knowledge of Python, C/C++. Data mining, visualization, and machine learning skills. Fluent in English (written and spoken). Degree in a quantitative discipline, such as mathematics, statistics, computer science, or other engineering fields. Preferred Technical and Professional Experience Certification in one or more of the hyperscalers (Azure, AWS, Google Cloud Platform) Being You Diversity is a whole lot more than what we look like or where we come from, it's how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we're not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you - and everyone next to you - the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That's the Kyndryl Way. What You Can Expect With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter - wherever you are in your life journey. Our employee learningprograms give you access to the best learning in the industry to receive certifications, includingMicrosoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed. Get Referred! If you know someone that works at Kyndryl, when asked How Did You Hear About Us during the application process, select Employee Referral and enter your contact's Kyndryl email address.

Company: Technodysis Pvt Ltd Location: Bangalore Experience: 6 - 8 Years Notice Period: Immediate Joiners Preferred Job Description: We are seeking a Module Lead AI Development to lead AI solution design and implementation. This role requires technical leadership in architecting LLM-based AI workflows and mentoring developers. Key Responsibilities: Lead a team/module in building AI-driven applications Architect solutions using LLMs and agentic frameworks Provide guidance on AI model design, prompt engineering, and fine-tuning Integrate APIs, tools, and external systems with AI agents Ensure high-quality coding standards, version control, and CI/CD practices Collaborate with cross-functional teams for solution delivery Mentor developers and promote innovation in AI/ML practices Required Skills & Qualifications: Bachelors/Masters degree in Computer Science, AI, or related field 68 years in AI/ML development with 1–2 years in a lead role Strong programming expertise in Python, TensorFlow, PyTorch Proven experience with LLMs, prompt engineering, and fine-tuning Proficiency in frameworks like LangChain, AutoGen, CrewAI Knowledge of vector databases and knowledge graph-based systems Strong leadership, communication, and mentoring skills If interested for this role then please share your updated resume along with CTC Details to chanchal.kumar@technodysis.com

Job Title: AI Developer Company: Technodysis Pvt Ltd Location: Bangalore Experience: 3 - 5 Years Notice Period: Immediate Joiners Preferred Job Description: We are looking for a passionate AI Developer to design and build intelligent AI agents, integrate LLMs, and leverage agentic AI frameworks to deliver next-gen AI solutions. Key Responsibilities: Design, build, and maintain AI agents with reasoning and planning capabilities Integrate and fine-tune LLMs (OpenAI, Google, open-source models) Implement frameworks like LangChain, AutoGen, CrewAI Develop and integrate APIs/tools for automation and data interaction Manage vector databases and knowledge graphs for contextual understanding Work closely with product, engineering, and data science teams Stay updated with AI/ML advancements and apply them in projects Required Skills & Qualifications: Bachelors degree in Computer Science, AI, or related field 35 years of experience in AI/ML development Strong Python skills; hands-on with TensorFlow, PyTorch, scikit-learn Experience with LLMs, prompt engineering, and fine-tuning Exposure to agentic frameworks (LangChain, AutoGen, CrewAI) Knowledge of vector DBs like Pinecone, Weaviate Familiarity with Git, CI/CD, and software best practices If interested for this role then please share your updated resume along with CTC Details to chanchal.kumar@technodysis.com

We seek a Junior AI Engineer with min 2years of hands-on experience (or strong internships/projects) in machine learning, NLP, or GenAI. You will support the development and deployment of AI models, contribute to data preparation pipelines, and learn best practices in MLOps and applied AI engineering. Key Responsibilities 1. Model Development & Support Assist in building ML models (classification, regression, clustering, forecasting). Contribute to fine-tuning and prompt engineering for LLMs (GPT, LLaMA, etc.). Experiment with vector databases and RAG pipelines for GenAI applications. 2. Data Preparation & Engineering Work with structured/unstructured datasets for ML training. Perform data cleaning, feature engineering, and basic pipeline development. 3. MLOps & Deployment (Learning Role) Support containerization and deployment of models using Docker/Kubernetes. Learn to implement CI/CD pipelines for ML workflows. 4. Collaboration & Learning Work under guidance of senior engineers and data scientists. Document experiments and present results to technical and business stakeholders. Technical Skills: o Programming: Python (pandas, NumPy, scikit-learn, PyTorch/TensorFlow). o ML Basics: Regression, classification, clustering, time-series. o GenAI/LLMs: Prompt engineering, LangChain basics, RAG concepts. o Databases: SQL (basic), exposure to NoSQL/vector DBs (Pinecone, FAISS). o MLOps Exposure: Docker, Git, basic CI/CD knowledge. Bonus: Knowledge of vision models, transformers, or cloud AI services (AWS Sagemaker, Azure ML, GCP Vertex AI). Education- Bachelors/Masters in Computer Science, Data Engineering, or related field

Minimum qualifications: Bachelor's degree or equivalent practical experience. 1 year of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data. 1 year of experience in managing projects and defining project scope, goals, and deliverables. 1 year of experience with SQL, R, Python, or C++. Preferred qualifications: Experience in data management, metrics analysis, experiment design and automation. Experience with classification systems, ranking systems, LLMs, Artificial Intelligence (AI) agents. Experience in creating opportunities to conceptualize and complete while working with global teams. Experience in collecting, managing and synthesizing datasets and information from disparate sources, statistical modeling, data mining and data analysis. Experience in translating investigative insights into business strategies and actions. About the job Fast-paced, dynamic, and proactive, YouTube's Trust & Safety team is dedicated to making YouTube a safe place for users, viewers, and content creators around the world to create, and express themselves. Whether understanding and solving their online content concerns, navigating within global legal frameworks, or writing and enforcing worldwide policy, the Trust & Safety team is on the frontlines of enhancing the YouTube experience, building internet safety, and protecting free speech in our ever-evolving digital world. In this role, you will be analyzing data. You will work in a changing environment. You will be a contributor to the strategy for reducing network badness on YouTube. You will balance the requirements while demonstrating the ability to make quantitatively based recommendations accordingly. You will require on-call work at weekends on a rotational basis. You will be exposed to graphic, controversial, and sometimes offensive video content during team escalations in line with YouTube's Community Guidelines.At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun - and we do it all together. Responsibilities Apply advanced statistical methods to datasets to understand the impact of abuse to the YouTube ecosystem. Develop new workflows against known vectors of abuse. Learn technical concepts and systems and deliver results using them. Communicate technical results and methods. Manage technological solutions for streamlining quality assurance and produce training solutions to emergent workflows. Perform fraud and spam investigations using multiple data sources, identify product vulnerabilities and drive anti-abuse experiments to prevent abuse. Work with engineers and interact cross-functionally with stakeholders to improve workflows by process improvements, automation and anti-abuse system creation. Develop quality training materials, create consensus and maintain communication for YouTube Scaled Abuse with business stakeholders. Design and refine prompts for Large Language Model (LLMs) to improve their accuracy in identifying and classifying abusive content and behavior.

Key Responsibilities Design and develop Generative AI solutions using state-of-the-art LLMs (GPT, Claude, LLaMA, Mistral, etc.). Build and optimize RAG pipelines , chunking strategies, and knowledge retrieval systems. Develop Document AI applications for OCR, table recognition, entity extraction, and compliance checks. Implement Computer Vision models (object detection, face recognition, image classification). Build and deploy scalable AI services using FastAPI, Docker, and cloud platforms (AWS/GCP/Azure) . Apply MLOps/LLMOps practices for continuous deployment and monitoring of AI models. Collaborate with cross-functional teams to integrate AI solutions into products and workflows. Required Skills Strong hands-on experience with Python and AI/ML frameworks ( PyTorch, TensorFlow, Keras ). Proven experience in Generative AI, LLMs, NLP pipelines, and Document AI . Good understanding of RAG, embeddings, re-ranking, and NL2SQL . Practical experience with Computer Vision frameworks (YOLO, Faster RCNN, OpenCV, etc.). Exposure to FastAPI, REST APIs, Docker, and cloud platforms . Familiarity with MLOps tools (MLflow, Kubeflow, etc.). Strong problem-solving and research abilities.

Primary Skills Data Science, Python, Machine Learning Mandatory Skills Deep Learning/NLP, Computer Vision, Gen AI/LLM, Cloud (AWS / Azure / GCP) Core Skills Python, NLP, LLMs, Data Science Must-Have Experience with LLM-based Gen AI applications, prompt engineering, Langchain and/or Llama-index Nice-to-Have BERTopic/Topic Modelling, HuggingFace, Responsible AI concepts

Lifesight is a Unified Marketing Measurement platform dedicated to empowering marketers to make informed decisions. With a global team of 130 professionals spread across 5 offices in the US, Singapore, India, Australia, and the UK, Lifesight is committed to shaping the future of business through AI and deep data insights. The company's mission revolves around building the world's best marketing intelligence and decisioning platform. The role at Lifesight is a unique opportunity for individuals who are passionate about AI and eager to work on cutting-edge technologies. As a Technical AI Specialist, you will be at the forefront of building AI systems from scratch. Leveraging technologies such as Generative AI (Gen AI), RAG, Graph-based systems, and LLMs, you will play a crucial role in integrating automation tools into existing business operations. Your responsibilities will include collaborating with stakeholders to identify business use cases, designing and deploying state-of-the-art models, optimizing models for performance and accuracy, and implementing advanced feature engineering techniques. You will be working with leading libraries like TensorFlow and PyTorch, building machine learning pipelines with tools like Vertex AI, and developing autonomous AI agents for optimization purposes. To excel in this role, you should have 3-6 years of experience in Data Science/Machine Learning, a proactive approach to problem-solving, proficiency in Python, TensorFlow, PyTorch, and MLOps practices. Additionally, knowledge and experience in leveraging LLMs, RAG, and Agentic frameworks are essential. Keeping abreast of AI trends and best practices, along with hands-on experience in Gen AI, RAG, Graph AI, and LLMs, will be beneficial for this position. Joining Lifesight means being part of a dynamic team that values both professional and personal growth. The company fosters a culture of innovation and collaboration, where employees are encouraged to explore their potential while maintaining a healthy work-life balance. Working at Lifesight offers the opportunity to contribute to transformative solutions, be part of a rapidly growing MarTech company, and shape your career in a supportive and empowering environment.,

As a Full-Stack AI Engineer at our organization, you will play a crucial role in building and enhancing our next-generation enterprise SaaS applications that leverage advanced generative AI and large language models. Working at the intersection of modern enterprise SaaS and cutting-edge AI, you will be responsible for creating seamless, intelligent solutions that transform financial back-office operations. Your key responsibilities will include designing and developing full-stack applications that integrate LLMs and generative AI capabilities into our core product offerings. You will architect and implement scalable frontend solutions using React.js to provide intuitive interfaces for AI-powered features. Additionally, you will build robust backend services using Python and Node.js (Typescript) to handle complex AI model interactions and data processing. In this role, you will create and optimize APIs for efficient communication between frontend applications and AI services. You will also work with SQL and NoSQL data infrastructure components to ensure efficient data access, retrieval, and augmentation for AI applications. Collaborating with ML engineers, you will integrate and optimize AI model deployments and implement CI/CD pipelines for both traditional and AI-enabled components. Your focus will be on ensuring high performance and reliability of AI-integrated features across the application stack. You will partner with product and business teams to understand requirements and deliver innovative solutions that meet the needs of our customers. To be successful in this role, you should have a minimum of 6+ years of professional experience in full-stack development with React.js and Node.js. Hands-on experience in building applications that integrate with LLMs or other generative AI solutions is essential. A strong understanding of REST APIs and microservices architecture, proficiency in modern Python, JavaScript/TypeScript, and experience with AWS cloud services are also required. Solid foundation in system design, data modeling, RDBMS, and understanding of AI/ML concepts, particularly in NLP and generative AI applications are important qualifications. Experience with multi-tenant SaaS architectures, enterprise system integrations, and technical expertise in frontend, backend, AI/ML integration, and DevOps stacks are necessary for this role. If you are passionate about leveraging AI technologies to create innovative solutions and drive business transformation, we look forward to having you on our team.,

About Impelox: At Impelox, you are dedicated to empowering businesses with intelligent SaaS solutions. The AI-driven contextual intelligence provided by Impelox drives success and fosters innovation, revolutionizing industries with tailored, advanced AI solutions on a secure, scalable platform. Why Join Us Be at the forefront of AI advancements, working with the latest LLMs and Generative AI models. Contribute to building an AI-driven chat platform, integrating third-party tools and APIs. Collaborate with AI experts and industry leaders to enhance your skills. Engage with customers to understand their requirements and mentor junior developers. Are You Ready If you are an experienced developer passionate about AI-driven applications and interested in building next-gen conversational AI solutions, apply now! Join us in shaping the future of AI-driven communication. Job Summary: As a Senior Full Stack Developer at Impelox, you will play a key role in designing and developing an AI-powered chat platform. Your responsibilities will include working with cutting-edge AI technologies, integrating third-party tools, ensuring high performance and scalability, interacting with customers to understand their needs, and providing mentorship to junior developers. What You Will Do: - Develop and maintain AI-driven chat applications using React, Node.js, MySQL/MongoDB, JavaScript, HTML/CSS, and RESTful APIs. - Integrate latest LLMs and Generative AI models like OpenAI GPTs, Llama, Mistral, Gemini, etc., to enhance chatbot interactions. - Work with third-party APIs and AI tools for seamless integrations. - Optimize application performance, scalability, and user experience. - Identify and resolve technical challenges to ensure system stability. - Participate in code reviews, provide feedback, and mentor junior developers. - Stay updated with advancements in AI, NLP, and Generative AI technologies. - Interact with customers to gather requirements and provide technical insights. Who You Are: - Bachelor's degree in Computer Science, IT, or a related field. - 3+ years of experience as a Full Stack Developer. - Hands-on experience with React, Node.js, and database management (MySQL/MongoDB). - Interested in exploring LLMs, NLP, and Generative AI models. - Experience integrating third-party AI APIs (e.g., OpenAI, Anthropic, Hugging Face, etc.). - Passion for AI-driven applications and solving complex problems. - Excellent communication, teamwork, and problem-solving skills. - Ability to thrive in a fast-paced and agile development environment. - Willingness to interact with customers and mentor junior developers. Bonus Skills: - Experience with Angular, AWS, GCP, or cloud-based AI deployments. - Knowledge of Vector Databases, Retrieval-Augmented Generation (RAG), or AI model fine-tuning.,

As a skilled AI Engineer, you will demonstrate proficiency in Generative AI & LLMs including GPT-3, Langchain, and LLMs. Your experience in prompt engineering, few-shot/zero-shot learning, RLHF, and model optimization will be essential in developing and implementing generative AI models. Your expertise in Machine Learning & NLP, particularly in Python utilizing frameworks like Hugging Face, TensorFlow, Keras, and PyTorch, will play a crucial role in optimizing LLM performance through fine-tuning and hyperparameter evaluation. A strong understanding of embeddings and data modeling is required for this role. Experience with various databases such as vector databases, RDBMS, MongoDB, and NoSQL databases (HBase, Elasticsearch), as well as data integration from multiple sources, will be beneficial. Your knowledge in Software Engineering, encompassing data structures, algorithms, system architecture, and distributed systems, will enable you to build and maintain robust distributed systems. Hands-on experience with Platform & Cloud technologies like Kubernetes, Spark ML, Databricks, and developing scalable platforms at scale is necessary. Proficiency in API Development, including API design, RESTful services, and data mapping to schemas, will be essential for integrating AI models into scalable web applications. Your responsibilities will include designing, developing, and implementing generative AI models, optimizing LLM performance, collaborating with ML and integration teams, building and maintaining distributed systems, integrating data from diverse sources, and enhancing response quality and performance using advanced techniques. To qualify for this role, you should hold a B.Tech / B.E. /M.Tech / M.E. degree and have a proven track record in building and deploying AI/ML models, particularly LLMs. Prior experience in developing public cloud services or open-source ML software would be advantageous. Knowledge of big-data tools will be considered a strong asset for this position.,

RocketFrog.ai is an AI Studio for Business, delivering cutting-edge AI solutions in Healthcare, Pharma, BFSI, Hi-Tech, and Consumer Services industries. Specializing in Agentic AI, Deep Learning models, and AI-driven Product Development to create real business impact, RocketFrog.ai invites you to take a Rocket Leap with Science. As an Agentic AI Engineer with 3 to 5 years of experience in designing, developing, and deploying AI-powered applications, your role will involve implementing Agentic AI frameworks such as LangGraph and CrewAI to build intelligent workflows. You will utilize multiple LLMs like ChatGPT, Gemini, and Claude, understanding their strengths and limitations while optimizing LLM interactions through advanced Prompt Engineering techniques. Additionally, you will leverage Retrieval-Augmented Generation (RAG) techniques for enhanced AI response generation and work with AI platforms like Hugging Face/GitHub to download and fine-tune pretrained models. Developing scalable system architectures using FastAPI, Uvicorn, Celery, and AI pipelines will be part of your responsibilities, along with applying best practices in ML engineering and staying updated with the latest AI advancements through continuous learning and global research scanning. The ideal candidate should possess excellent communication skills to articulate AI concepts clearly and have hands-on experience in Prompt Engineering, Agentic AI frameworks, Retrieval-Augmented Generation techniques, system architecture, AI/ML platforms, and ML Frameworks like Keras, TensorFlow, or PyTorch. A strong foundation in Data Structures, Probability & Statistics, and Linear Algebra is essential, along with the ability to explain AI/ML concepts to both technical and non-technical stakeholders. A Bachelors or Masters degree in Computer Science, IT, Data Science, or AI, combined with 3 to 5 years of work experience as an AI Engineer, is required for this role. Join RocketFrog.ai to be part of a growth journey, work in an AI-driven company making real business impact, collaborate with leading AI experts, and enjoy a dynamic, fast-paced environment with career growth opportunities. If you are passionate about AI & innovation, let's connect!,