658 Mistral Jobs - Page 22

Job Description As an AI Intern (AI Agent Developer Intern), you'll work at the cutting edge of AI automation and agent orchestration. This isn’t a research role—you’ll be building production-grade AI agents that solve real-world problems across domains like operations, education, sales, and personal productivity. You’ll work closely with our leadership team to prototype, iterate, and ship fast, owning your work from start to finish. Key Responsibilities Design and develop AI Agents using LangChain, CrewAI, LangGraph, AutoGen (A2A), ADK and similar other platforms Build and orchestrate agent workflows using tools like n8n, Airflow, or LangGraph DAGs Integrate APIs, databases, vector stores (e.g., Pinecone, Chroma, Weaviate), and tools like OpenAI, Claude, Mistral, HuggingFace, etc. Write clean, modular, and testable code in Python (TypeScript is a plus) Rapidly prototype agentic workflows, test edge-cases, and iterate based on feedback Collaborate with design and product teams to shape user-centric workflows Ship minimal, usable versions and continuously improve them based on usage analytics Maintain documentation and contribute to internal knowledge bases Requirements Strong hands-on coding skills, especially in Python Previous experience building with LangChain, LangGraph, CrewAI, or similar frameworks Familiar with agent orchestration, tool chaining, multi-agent systems Quick learner, adaptable to new frameworks and libraries Strong problem-solving skills and autonomy—able to take vague ideas to shipped features Comfortable working in a fast-paced, iterative startup environment Basic understanding of prompt engineering, LLM APIs, and memory management Exposure to n8n, Supabase, Firebase, PostgreSQL, Redis, or similar stacks Familiarity with version control (Git), basic CI/CD, and cloud platforms (Vercel, AWS, etc.) Show more Show less

Job Title: Gen AI Architect – Retail Technology Office About The Role We are seeking a visionary and hands-on Gen AI Architect to lead the design, development, and deployment of cutting-edge Generative AI and Agentic AI solutions in the Retail domain. This role is pivotal in shaping our AI strategy, building innovative offerings, and driving client success through impactful PoCs and solutions. The architect will work closely with the CTO and the Retail strategy office to define the AI roadmap, lead a team of engineers and architects, and represent the company in client engagements and industry forums. Key Responsibilities Architect and Lead the development of GenAI and Agentic AI solutions tailored for retail use cases (e.g., personalized shopping, intelligent agents, supply chain optimization). Collaborate with the CTO to define AI strategy, solution blueprints, and innovation roadmaps. Design and Build scalable PoCs, MVPs, and production-grade solutions using state-of-the-art GenAI tools and frameworks. Lead and Mentor a team of engineers and architects, fostering a culture of innovation, quality, and continuous learning. Engage with Clients to present PoVs, conduct workshops, and articulate the value of GenAI solutions with compelling storytelling and technical depth. Ensure Engineering Excellence by applying best practices in TDD, BDD, DevSecOps, and microservices architecture. Required Skills & Experience AI/ML & GenAI Expertise Proven hands-on experience with: LLMs (e.g., OpenAI, Claude, Mistral, LLaMA, Gemini) GenAI frameworks: LangChain, LlamaIndex, Haystack, Semantic Kernel Agentic AI tools: Google Agentspace, ADK, LangGraph, AutoGen, CrewAI, MetaGPT, AutoGPT, OpenAgents Vector databases: Vertex AI, FAISS, Weaviate, Pinecone, Chroma Prompt engineering, RAG pipelines, fine-tuning, and orchestration Engineering & Architecture Strong background in: Java Spring Boot, REST APIs, Microservices Cloud platforms: AWS, Azure, or GCP CI/CD, DevSecOps, TDD/BDD Containerization (Docker, Kubernetes) Leadership & Communication Exceptional storytelling and articulation skills to convey complex AI concepts to technical and non-technical audiences. Experience in client-facing roles, including workshops, demos, and executive presentations. Ability to lead cross-functional teams and drive innovation in a fast-paced environment. Preferred Qualifications Bachelor’s or Master’s degree in Computer Science, AI/ML, or related field Certifications in AI/ML and Cloud (GCP or Azure) Experience in the Retail domain or consumer-facing industries is a strong plus Why Join Us? Be at the forefront of AI innovation in Retail Work with a visionary leadership team Build solutions that impact Cognizant’s Retail clients Enjoy a collaborative, inclusive, and growth-oriented culture Show more Show less

India - Hyderabad JOB ID: R-205390 LOCATION: India - Hyderabad WORK LOCATION TYPE: On Site DATE POSTED: Feb. 13, 2025 CATEGORY: Information Systems At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do. Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career. What you will do Let’s do this. Let’s change the world. In this vital role you will will be at the forefront of innovation, using their skills to design and implement pioneering AI/Gen AI solutions. With an emphasis on creativity, collaboration, and technical excellence, this role provides a unique opportunity to work on ground-breaking projects that enhance operational efficiency at the Amgen Technology and Innovation Centre while ensuring the protection of critical systems and data. Roles & Responsibilities: Design, develop, and deploy Gen AI solutions using advanced LLMs like OpenAI API, Open Source LLMs (Llama2, Mistral, Mixtral), and frameworks like Langchain and Haystack. Design and implement AI & GenAI solutions that drive productivity across all roles in the software development lifecycle. Demonstrate the ability to rapidly learn the latest technologies and develop a vision to embed the solution to improve the operational efficiency within a product team Collaborate with multi-functional teams (product, engineering, design) to set project goals, identify use cases, and ensure seamless integration of Gen AI solutions into current workflows. What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Master’s degree and 1 to 3 years of Programming Languages such as Java and Python experience OR Bachelor’s degree and 3 to 5 years of Programming Languages such as Java and Python experience OR Diploma and 7 to 9 years of Programming Languages such as Jav and Python experience Preferred Qualifications: Proficiency in programming languages such as Python and Java. Leverage advanced knowledge of Python open-source software stack such as Django or Flask, Django Rest or FastAPI, etc. Experience working with RAG technologies and LLM frameworks, LLM model registries (Hugging Face), LLM APIs, embedding models, and vector databases Familiarity with cloud security (AWS /Azure/ GCP) Utilize expertise in integrating and demonstrating Gen AI LLMs to maximize operational efficiency.Productivity Tools and Technology Engineer Good-to-Have Skills: Experience with graph databases (Neo4J and Cypher would be a big plus) Experience with Prompt Engineering and familiarity with frameworks such as Dspy would be a big plus Professional Certifications: AWS / GCP / Databricks Soft Skills: Excellent analytical and troubleshooting skills. Strong verbal and written communication skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation. Ability to manage multiple priorities successfully. Team-oriented, with a focus on achieving team goals Strong presentation and public speaking skills. Thrive What you can expect of us As we work to develop treatments that take care of others, we also work to care for our teammates’ professional and personal growth and well-being. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. for a career that defies imagination In our quest to serve patients above all else, Amgen is the first to imagine, and the last to doubt. Join us. careers.amgen.com Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.

India - Hyderabad JOB ID: R-209745 LOCATION: India - Hyderabad WORK LOCATION TYPE: On Site DATE POSTED: Mar. 28, 2025 CATEGORY: Information Systems Join Amgen’s Mission of Serving Patients At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do. Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career. Associate Director - AI/ML Engineering What you will do Let’s do this. Let’s change the world. We are seeking a Associate Director of ML / AI Engineering to lead Amgen India’s AI engineering practice. This role is integral to developing top-tier talent, setting ML / AI best practices, and evangelizing ML / AI Engineering capabilities across the organization. The Associate Director will be responsible for driving the successful delivery of strategic business initiatives by overseeing the technical architecture, managing talent, and establishing a culture of excellence in ML / AI The key aspects of this role involve : (1) prior hands-on experience building ML and AI solutions (2) management experience in leading ML / AI engineering team and talent development (3) Delivering AI initiatives at enterprise scale Roles & Responsibilities: Talent Growth & People Leadership: Lead, mentor, and manage a high-performing team of engineers, fostering an environment that encourages learning, collaboration, and innovation. Focus on nurturing future leaders and providing growth opportunities through coaching, training, and mentorship. Recruitment & Team Expansion: Develop a comprehensive talent strategy that includes recruitment, retention, onboarding, and career development and build a diverse and inclusive team that drives innovation, aligns with Amgen's culture and values, and delivers business priorities Organizational Leadership: Work closely with senior leaders within the function and across the Amgen India site to align engineering goals with broader organizational objectives and demonstrate leadership by contributing to strategic discussions Create and implement a strategy for expanding the AI/ML engineering team, including recruitment, onboarding, and talent development. Oversee the end-to-end lifecycle of AI/ML projects, from concept and design through to deployment and optimization, ensuring timely and successful delivery. Ensure adoption of ML-Ops best practices, including model versioning, testing, deployment, and monitoring. Collaborate with multi-functional teams, including product, data science, and software engineering, to find opportunities and deliver AI/ML solutions that drive business value. Serve as an AI/ML evangelist across the organization, promoting awareness and understanding of the capabilities and value of AI/ML technologies. Promote a culture of innovation and continuous learning within the team, encouraging the exploration of new tools, technologies, and methodologies. Provide technical leadership and mentorship, guiding engineers in implementing scalable and robust AI/ML systems. Work closely with collaborators to prioritize AI/ML projects and ensure timely delivery of key initiatives. Lead innovation initiatives to explore new AI/ML technologies, platforms, and tools that can drive further advancements in the organization’s AI capabilities. What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Master’s degree and 12 to 14 years of computer science, Artificial Intelligence, Machine Learning experience OR Bachelor’s degree and 14 to 18 years of computer science, Artificial Intelligence, Machine Learning experience OR Diploma and 18 to 20 years of computer science, Artificial Intelligence, Machine Learning experience Preferred Qualifications: Experience in building AI Platforms & applications at enterprise scale Expertise in AI/ML frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, etc. Hands-on experience with LLMs, Generative AI, and NLP (e.g., GPT, BERT, Llama, Claude, Mistral AI ) Strong understanding of MLOps processes and tools such as MLflow, Kubeflow, or similar platforms. Proficient in programming languages such as Python, R, or Scala. Experience deploying AI/ML models in cloud environments (AWS, Azure, or Google Cloud). Proven track record of managing and delivering AI/ML projects at scale. Excellent project management skills, with the ability to lead multi-functional teams and manage multiple priorities. Experience in regulated industries, preferably life sciences and pharma Good-to-Have Skills: Experience with natural language processing, computer vision, or reinforcement learning. Knowledge of data governance, privacy regulations, and ethical AI considerations. Experience with cloud-native AI/ML services (Databricks, AWS, Azure ML, Google AI Platforms) Experience with AI Observability Professional Certifications (Preferred): Google Professional Machine Learning Engineer, AWS Certified Machine Learning, or Azure AI Engineer Associate, Databricks Certified Generative AI Engineer Associate Soft Skills: Excellent leadership and communication skills, with the ability to convey complex technical concepts to non-technical collaborators. Ability to foster a collaborative and innovative work environment. Strong problem-solving abilities and attention to detail. High degree of initiative and self-motivation. Ability to mentor and develop team members, promoting their growth and success. What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. and make a lasting impact with the Amgen team. careers.amgen.com As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Job Title: GenAI Architect – Retail Technology Office Location: Chennai or Bangalore About The Role We are seeking a visionary and hands-on GenAI Architect to lead the design, development, and deployment of cutting-edge Generative AI and Agentic AI solutions in the Retail domain. This role is pivotal in shaping our AI strategy, building innovative offerings, and driving client success through impactful PoCs and solutions. The architect will work closely with the CTO and the Retail strategy office to define the AI roadmap, lead a team of engineers and architects, and represent the company in client engagements and industry forums. Key Responsibilities Architect and Lead the development of GenAI and Agentic AI solutions tailored for retail use cases (e.g., personalized shopping, intelligent agents, supply chain optimization). Collaborate with the CTO to define AI strategy, solution blueprints, and innovation roadmaps. Design and Build scalable PoCs, MVPs, and production-grade solutions using state-of-the-art GenAI tools and frameworks. Lead and Mentor a team of engineers and architects, fostering a culture of innovation, quality, and continuous learning. Engage with Clients to present PoVs, conduct workshops, and articulate the value of GenAI solutions with compelling storytelling and technical depth. Ensure Engineering Excellence by applying best practices in TDD, BDD, DevSecOps, and microservices architecture. Required Skills & Experience AI/ML & GenAI Expertise Proven hands-on experience with: LLMs (e.g., OpenAI, Claude, Mistral, LLaMA, Gemini) GenAI frameworks: LangChain, LlamaIndex, Haystack, Semantic Kernel Agentic AI tools: Google Agentspace, ADK, LangGraph, AutoGen, CrewAI, MetaGPT, AutoGPT, OpenAgents Vector databases: Vertex AI, FAISS, Weaviate, Pinecone, Chroma Prompt engineering, RAG pipelines, fine-tuning, and orchestration Engineering & Architecture Strong background in: Java Spring Boot, REST APIs, Microservices Cloud platforms: AWS, Azure, or GCP CI/CD, DevSecOps, TDD/BDD Containerization (Docker, Kubernetes) Leadership & Communication Exceptional storytelling and articulation skills to convey complex AI concepts to technical and non-technical audiences. Experience in client-facing roles, including workshops, demos, and executive presentations. Ability to lead cross-functional teams and drive innovation in a fast-paced environment. Preferred Qualifications Bachelor’s or Master’s degree in Computer Science, AI/ML, or related field Certifications in AI/ML and Cloud (GCP or Azure) Experience in the Retail domain or consumer-facing industries is a strong plus Why Join Us? Be at the forefront of AI innovation in Retail Work with a visionary leadership team Build solutions that impact Cognizant’s Retail clients Enjoy a collaborative, inclusive, and growth-oriented culture Show more Show less

Position: AI/ML Lead (CE80SF RM 3261) Good to have Skills Knowledge and Experience in building knowledge graphs in production. Understanding of multi-agent systems and their applications in complex problem-solving scenarios Technical Skills required: Solid Experience in Time Series Analysis, Anomaly Detection and traditional machine learning techniques such as Regression, Classification, Predictive modeling, Clustering, Deep Learning stack using python Experience with cloud infrastructure for AI/ ML on AWS(Sagemaker, Quicksight,Athena, Glue). Expertise in building enterprise grade, secure data ingestion pipelines for unstructured data(ETL/ELT) – including indexing, search, and advance retrieval patterns. Proficiency in Python, TypeScript, NodeJS, ReactJS (and equivalent) and frameworks. (e.g., pandas, NumPy, scikit-learn, SKLearn, OpenCV, SciPy), Glue crawler, ETL Experience with data visualization tools (e.g., Matplotlib, Seaborn, Quicksight). Knowledge of deep learning frameworks (e.g., TensorFlow, Keras, PyTorch). Experience with version control systems (e.g., Git, CodeCommit). Strong knowledge and experience in Generative AI/ LLM based development. Strong experience working with key LLM models APIs (e.g. AWS Bedrock, Azure Open AI/ OpenAI) and LLM Frameworks (e.g. LangChain, LlamaIndex). Knowledge of effective text chunking techniques for optimal processing and indexing of large documents or datasets. Proficiency in generating and working with text embeddings with understanding of embedding spaces and their applications in semantic search and information. retrieval. Experience with RAG concepts and fundamentals (VectorDBs, AWS OpenSearch, semantic search, etc.), • Expertise in implementing RAG systems that combine knowledge bases with Generative AI models. Knowledge of training and fine-tuning Foundation Models (Athropic, Claud , Mistral, etc.), including multimodal inputs and outputs. Candidate Roles and Responsibilities Develop and implement machine learning models and algorithms. Work closely with project stakeholders to understand requirements and translate them into deliverables. Utilize statistical and machine learning techniques to analyze and interpret complex data sets. Stay updated with the latest advancements in AI/ML technologies and methodologies. Collaborate with cross-functional teams to support various AI/ML initiatives. ******************************************************************************************************************************************* Job Category: Embedded HW_SW Job Type: Full Time Job Location: Noida Experience: 8+ years Notice period: 0-15 days

Position: AI/ML Developer (CE58SF RM 3260) Candidate Roles and Responsibilities Develop and implement machine learning models and algorithms. Work closely with project stakeholders to understand requirements and translate them into deliverables. Utilize statistical and machine learning techniques to analyze and interpret complex data sets. Stay updated with the latest advancements in AI/ML technologies and methodologies. Collaborate with cross-functional teams to support various AI/ML initiatives. Good to have Skills Knowledge and Experience in building knowledge graphs in production. Understanding of multi-agent systems and their applications in complex problem-solving scenarios. Technical Skills required: Solid Experience in Time Series Analysis, Anomaly Detection and traditional machine learning techniques such as Regression, Classification, Predictive modeling, Clustering, Deep Learning stack using python Experience with cloud infrastructure for AI/ ML on AWS(Sagemaker, Quicksight,Athena, Glue). Expertise in building enterprise grade, secure data ingestion pipelines for unstructured data(ETL/ELT) – including indexing, search, and advance retrieval patterns. Proficiency in Python, TypeScript, NodeJS, ReactJS (and equivalent) and frameworks. (e.g., pandas, NumPy, scikit-learn, SKLearn, OpenCV, SciPy), Glue crawler, ETL Experience with data visualization tools (e.g., Matplotlib, Seaborn, Quicksight). Knowledge of deep learning frameworks (e.g., TensorFlow, Keras, PyTorch). Experience with version control systems (e.g., Git, CodeCommit). Strong knowledge and experience in Generative AI/ LLM based development. Strong experience working with key LLM models APIs (e.g. AWS Bedrock, Azure Open AI/ OpenAI) and LLM Frameworks (e.g. LangChain, LlamaIndex). Knowledge of effective text chunking techniques for optimal processing and indexing of large documents or datasets. Proficiency in generating and working with text embeddings with understanding of embedding spaces and their applications in semantic search and information. retrieval. Experience with RAG concepts and fundamentals (VectorDBs, AWS OpenSearch, semantic search, etc.), Expertise in implementing RAG systems that combine knowledge bases with Generative AI models. Knowledge of training and fine-tuning Foundation Models (Athropic, Claud , Mistral, etc.), including multimodal inputs and outputs. ******************************************************************************************************************************************* Job Category: Embedded HW_SW Job Type: Full Time Job Location: AhmedabadIndorePune Experience: 5 - 8 Years Notice period: 0-15 days

Are you ready to be a catalyst in revolutionizing the software development landscape? At IgniteTech, we're spearheading the integration of cutting-edge GenAI technologies to transform how software is crafted and deployed. This isn't just about tweaking the old ways—it's about leading groundbreaking AI initiatives that redefine efficiency and competitiveness in the industry. This role is perfect for those who thrive at the intersection of technology and innovation. You're not here to merely perform tasks; you're here to strategize, research, prototype, and apply AI to create the next wave of software solutions. We seek visionaries who excel in AI and software architecture and are eager to harness technology for transformative business solutions. As an AI Engineer, you'll be instrumental in developing the frameworks and strategies that weave AI into our software solutions, directly influencing our deliverables' quality and productivity. Join us if you're passionate about advancing technology and making a significant impact in the software industry. What You Will Be Doing Craft the high-level architecture for AI-powered systems that automate complex software development tasks, including architecture generation, dependency management, and predictive coding. Stay at the forefront of AI and software engineering advancements by participating in R&D projects, attending industry events, and engaging with both academic and professional communities. Be among the first to discover and utilize emerging AI technologies. What You Won’t Be Doing Routine Code Maintenance: Engaging in the regular updating or debugging of existing software to address minor issues or enhance functionality. Standard Software Development: Performing basic coding or development tasks that involve implementing simple features without AI integration. Artificial Intelligence Engineer Key Responsibilities Leverage your engineering skills to significantly enhance development speed, minimize human error, and improve code quality, thus accelerating time-to-market for software products and boosting customer satisfaction. Basic Requirements Minimum of 3 years of experience as a software engineer driving impactful initiatives. Proficiency with GenAI code assistants (e.g., Github Copilot, Cursor.sh, v0.dev). Proven track record in successfully deploying Generative AI products, projects, solutions, or tools. Experience in utilizing various LLMs (e.g., GPT, Claude, Mistral) to address business challenges. About IgniteTech If you want to work hard at a company where you can grow and be a part of a dynamic team, join IgniteTech! Through our portfolio of leading enterprise software solutions, we ignite business performance for thousands of customers globally. We’re doing it in an entirely remote workplace that is focused on building teams of top talent and operating in a model that provides challenging opportunities and personal flexibility. A career with IgniteTech is challenging and fast-paced. We are always looking for energetic and enthusiastic employees to join our world-class team. We offer opportunities for personal contribution and promote career development. IgniteTech is an Affirmative Action, Equal Opportunity Employer that values the strength that diversity brings to the workplace. There is so much to cover for this exciting role, and space here is limited. Hit the Apply button if you found this interesting and want to learn more. We look forward to meeting you! Working with us This is a full-time (40 hours per week), long-term position. The position is immediately available and requires entering into an independent contractor agreement with Crossover as a Contractor of Record. The compensation level for this role is $50 USD/hour, which equates to $100,000 USD/year assuming 40 hours per week and 50 weeks per year. The payment period is weekly. Consult www.crossover.com/help-and-faqs for more details on this topic. Crossover Job Code: LJ-5269-IN-Noida-ArtificialInte.010 Show more Show less

Join IgniteTech and be at the forefront of a software evolution that prioritizes speed, precision, and innovation. In a rapidly shifting digital landscape, our mission is to cut through the inefficiencies of traditional coding and set new benchmarks for software deployment. With over 30% of projects historically delayed, the time is ripe for a transformation. As a pioneer in GenAI technologies, we are reshaping how software is architected and developed. This isn't a role for incremental change but a chance to lead groundbreaking AI initiatives that redefine processes and outcomes, driving efficiency and strategic competitiveness. This role calls for visionaries who thrive on cutting-edge technology and innovation. It's about strategizing, researching, developing, and prototyping AI applications to craft future-ready software solutions. We seek those skilled in AI and software architecture who possess a visionary zeal for technology-driven business innovation. Lead our team in developing the frameworks and strategies that integrate AI into our solutions, directly impacting our mission and enhancing the quality and productivity of our deliverables. If you're passionate about pushing technological boundaries and eager to leave a significant mark in the software industry, we want you on our team. What You Will Be Doing Architect and design AI-driven systems that automate complex software development tasks, including architecture generation, dependency management, and predictive coding. Engage in cutting-edge R&D, stay abreast of AI and software engineering advancements, attend conferences, and collaborate with academic and professional peers to ensure we remain leaders in AI technology adoption. What You Won’t Be Doing Performing routine maintenance or simple debugging of existing code to fix minor issues. Carrying out standard software development tasks that lack AI integration and involve basic coding. AI Architect Key Responsibilities Leverage your engineering skills to drastically improve development speed, minimize human error, and boost code quality, resulting in quicker product launches and increased customer satisfaction. Basic Requirements A minimum of 3 years of professional experience as a software engineer driving impactful projects. Hands-on experience with GenAI code assistants such as Github Copilot, Cursor.sh, or v0.dev. Proven experience in implementing Generative AI solutions or projects. Proficiency in using various LLMs, including GPT, Claude, and Mistral, to address business challenges. About IgniteTech If you want to work hard at a company where you can grow and be a part of a dynamic team, join IgniteTech! Through our portfolio of leading enterprise software solutions, we ignite business performance for thousands of customers globally. We’re doing it in an entirely remote workplace that is focused on building teams of top talent and operating in a model that provides challenging opportunities and personal flexibility. A career with IgniteTech is challenging and fast-paced. We are always looking for energetic and enthusiastic employees to join our world-class team. We offer opportunities for personal contribution and promote career development. IgniteTech is an Affirmative Action, Equal Opportunity Employer that values the strength that diversity brings to the workplace. There is so much to cover for this exciting role, and space here is limited. Hit the Apply button if you found this interesting and want to learn more. We look forward to meeting you! Working with us This is a full-time (40 hours per week), long-term position. The position is immediately available and requires entering into an independent contractor agreement with Crossover as a Contractor of Record. The compensation level for this role is $50 USD/hour, which equates to $100,000 USD/year assuming 40 hours per week and 50 weeks per year. The payment period is weekly. Consult www.crossover.com/help-and-faqs for more details on this topic. Crossover Job Code: LJ-5269-IN-Noida-AIArchitect.003 Show more Show less

Building on our past. Ready for the future Worley is a global professional services company of energy, chemicals and resources experts. We partner with customers to deliver projects and create value over the life of their assets. We’re bridging two worlds, moving towards more sustainable energy sources, while helping to provide the energy, chemicals and resources needed now. At Worley, our Digital team collaborates closely with the business to deliver efficient, technology-enabled sustainable solutions, that will be transformational for Worley. This team, aptly named Worley Digital, is currently seeking talented individuals who would be working on a wide range of latest technologies, including solutions based on Automation, Generative AI. What drives us at Worley Digital? It’s our shared passion for pushing the boundaries of technological innovation, embracing best practices, and propelling Worley to the forefront of industry advancements. If you’re naturally curious, open-minded, and a self-motivated learner - one who’s ready to invest time and effort to stay future-ready - then Worley could be your ideal workplace. Position Title (Global): Sr ML Engineer MAJOR ACCOUNTABILITIES OF POSITION: Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress Utilize the existing frameworks, standards, patterns to create architectural foundation and services necessary for AI applications that scale from multi-user to enterprise class Managing Data Science project life cycle from exploratory data analysis to productization (Alpha/Beta Release) .Manage small team to collaborate with Architecture, Data Warehouse, Data Governance teams for providing analytics as service. Mentor team member for AI/ML development Verifying data quality, and/or ensuring it via data cleaning Supervising the data acquisition process if more data is needed Finding available datasets online that could be used for training Defining validation strategies Defining the preprocessing or feature engineering to be done on a given dataset. Defining data augmentation pipelines Training models and tuning their hyperparameters Analyzing the errors of the model and designing strategies to overcome them Deploying models to production. Development of the ML algorithms that could be used to solve a given problem and ranking them by their success probability. Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world Knowledge / Experience / Competencies Required IT Skills & Experience (Priority wise): Proven experience as a Data Scientist– AI/ML or similar role Ability to write robust code in Python. Experience in the Generative AI components like LLMs, LangChain, LlamaIndex, OpenAI, Mistral, Llama etc. Experience in supervised/semi-supervised and unsupervised machine learning algorithms. Experience using the cognitive APIs machine learning studios on cloud. Up to speed on NLP (Summarization, Translation models, Named Entity Recognition) Hands-on knowledge of image processing with deep learning (CNN, RNN, LSTM, GAN) Understanding of complete AI/ML project life cycle. Understanding of data structures, data modelling and software architecture. People Skills: Ability to communicate clearly and concisely and a flexible mindset to handle a quickly changing culture Ability to work independently and/or as part of cross-domain big team Professional and open communication to all internal and external interfaces. Accurately report to management in a timely and effective manner. Other Skills: Outstanding analytical and problem-solving skills Taking ownership of the tasks in hand and being accountable for deliverables. Education – Qualifications, Accreditation, Training: Minimum 4–7 years’ experience as a Data Scientist on AI and ML projects. Master’s in information technology / Big Data/Data Science/AI/Computer Science or related field Moving forward together We’re committed to building a diverse, inclusive and respectful workplace where everyone feels they belong, can bring themselves, and are heard. We provide equal employment opportunities to all qualified applicants and employees without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by law. We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, there’s a path for you here. And there’s no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change. Education – Qualifications, Accreditation, Training: Master’s in Information Technology / Big Data/Data Science/AI/Computer Science Moving forward together We’re committed to building a diverse, inclusive and respectful workplace where everyone feels they belong, can bring themselves, and are heard. We provide equal employment opportunities to all qualified applicants and employees without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by law. We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, there’s a path for you here. And there’s no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change. Company Worley Primary Location IND-MM-Navi Mumbai Other Locations IND-KR-Bangalore, IND-MM-Mumbai, IND-MM-Pune, IND-TN-Chennai, IND-GJ-Vadodara, IND-AP-Hyderabad, IND-WB-Kolkata Job Digital Platforms & Data Science Schedule Full-time Employment Type Employee Job Level Experienced Job Posting May 8, 2025 Unposting Date Jun 7, 2025 Reporting Manager Title Senior Manager Show more Show less

We are seeking a highly skilled Data Scientist (LLM/Gen AI Engineer) to join our AI and Machine Learning team. In this role, you will focus on the research, development, and deployment of Large Language Models (LLMs) and Generative AI solutions to solve real-world problems and enhance intelligent applications. You will work closely with cross-functional teams including data scientists, machine learning engineers, and product managers to build scalable, production-ready Gen AI systems. Key Responsibilities: Research, fine-tune, and deploy Large Language Models (LLMs) such as GPT, LLaMA, Mistral, or similar. Design and implement end-to-end Gen AI pipelines for tasks such as summarization, question answering, code generation, and retrieval-augmented generation (RAG). Preprocess and curate large datasets for training and evaluation of language models. Optimize models for efficiency, accuracy, and scalability using techniques like quantization, distillation, and model pruning. Integrate LLM-based solutions with existing products, APIs, and user-facing applications. Evaluate model performance using metrics like BLEU, ROUGE, perplexity, and human evaluation. Stay up-to-date with the latest trends in AI research, LLM architecture, and Gen AI tools. Collaborate with engineers to scale models in production and monitor model drift or degradation. Document experiments, model behaviors, and results to guide reproducibility and future development. Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or related field. 2–5+ years of experience working as a Data Scientist, ML Engineer, or AI Researcher. Hands-on experience with Large Language Models (OpenAI GPT, PaLM, Claude, LLaMA, Mistral, etc.). Proficient in Python and popular ML/NLP libraries (e.g., PyTorch, TensorFlow, Hugging Face Transformers, LangChain). Deep understanding of NLP, tokenization, embeddings, transformers, and attention mechanisms. Familiarity with prompt engineering and fine-tuning techniques (LoRA, PEFT, etc.). Experience deploying models using cloud platforms (AWS, GCP, Azure) and container tools (Docker, Kubernetes). Strong analytical, problem-solving, and communication skills. Job Types: Full-time, Permanent Pay: Up to ₹30,000.00 per month Benefits: Flexible schedule Schedule: Day shift Ability to commute/relocate: Hyderabad, Telangana: Reliably commute or planning to relocate before starting work (Preferred) Application Question(s): Mention your current location Work Location: In person

Job Title: Generative AI & Automation Expert Location: Delhi, India Department: Technology Reports To: Chief Technology Officer (CTO) Employment Type: Full-Time About Drishti IAS 'Drishti The Vision' was founded on 1st November 1999. Since then, we have been a beacon of excellence in the field of Civil Services Examination preparation and one of the top choices for those preparing for the UPSC Civil Services Examination (CSE). Drishti IAS is dedicated to providing unwavering support and expert guidance for UPSC and State Services aspirants across multiple States/Union Territories in India. We also offer comprehensive online programs accessible through our Drishti Learning App (Android, iOS & Windows), in addition to our well-established physical classroom centers. Job Overview We are seeking a skilled Generative AI & Automation Expert to lead the development and enhancement of our AI-driven educational tools and automation infrastructure. The ideal candidate will have deep expertise in generative AI, large language models (LLMs), and workflow automation technologies, with a passion for EdTech innovation. This role involves building and maintaining AI solutions that improve learner experiences, automating content generation processes, and ensuring operational excellence through automation. Key Responsibilities AI Infrastructure Development: - Design, develop, and maintain scalable AI infrastructure to support educational and operational requirements. - Deploy and fine-tune local large language models (LLMs), ensuring high performance, reliability, and cost efficiency. Generative AI Features: - Enhance educational applications by implementing generative AI capabilities such as chatbots for real-time doubt resolution, automated quiz generation, and summarization tools. - Develop automated systems to efficiently generate educational content such as test series questions and learning materials. Automation & Workflow Optimization: - Deploy and manage automation tools to streamline organizational workflows, improving productivity across various teams. - Implement AI-driven analytical tools to evaluate sales and support interactions, providing actionable insights to management. Technical Leadership: - Lead and collaborate with cross-functional teams in integrating advanced AI and automation solutions. - Stay current with developments in AI, LLMs, and automation tools, and incorporate industry best practices into the technology strategy. Knowledge Transfer & Documentation: - Create comprehensive documentation of processes, workflows, and system architectures. - Provide training and mentorship to team members to foster innovation and maintain technological proficiency. Qualifications & Skills Education: - Bachelor's or Master's degree in Computer Science, Engineering, or a related discipline. Experience: - Minimum of 5 years’ experience specializing in generative AI, LLMs, and automation. - Proven experience developing AI solutions within EdTech or related sectors. - Hands-on expertise with frameworks such as LangChain, LlamaIndex, and Hugging Face Transformers. - Practical experience in deploying and fine-tuning models such as Deepseek, Mistral, or Llama. Technical Skills: - Strong programming proficiency in Python, FastAPI, and containerization technologies like Docker. - Experience with workflow automation tools (e.g., n8n, Zapier). - Knowledge of cloud services (AWS, Azure, GCP) and vector databases (Weaviate, Qdrant, Pinecone). - Familiarity with MLOps practices and CI/CD pipelines is advantageous. Soft Skills: - Strong analytical thinking and problem-solving abilities. - Excellent communication and interpersonal skills. - Capacity to independently manage projects and handle multiple priorities effectively. Preferred: - Prior experience in the EdTech industry, particularly developing AI-driven educational tools. - Familiarity with UPSC examination content and preparation processes. Show more Show less

Job Description Job Description: We are seeking a highly motivated and enthusiastic Senior Data Scientist with over 8 years of experience to join our dynamic team. The ideal candidate will have a strong background in AI/ML analytics and a passion for leveraging data to drive business insights and innovation. Key Responsibilities Develop and implement machine learning models and algorithms. Work closely with project stakeholders to understand requirements and translate them into deliverables. Utilize statistical and machine learning techniques to analyze and interpret complex data sets. Stay updated with the latest advancements in AI/ML technologies and methodologies. Collaborate with cross-functional teams to support various AI/ML initiatives. Qualifications Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. Strong understanding of machine learning , deep learning and Generative AI concepts. Preferred Skills Experience in machine learning techniques such as Regression, Classification, Predictive modeling, Clustering, Computer vision(yolo),Deep Learning stack, NLP using python Strong knowledge and experience in Generative AI/ LLM based development. Strong experience working with key LLM models APIs (e.g. AWS Bedrock OR Azure Open AI/ OpenAI) and LLM Frameworks (e.g. LangChain OR LlamaIndex OR RAG) Experience with cloud infrastructure for AI/Generative AI/ML on AWS, Azure. Expertise in building enterprise grade, secure data ingestion pipelines (ETL Gluejob, Quicksight) for unstructured data – including indexing, search, and advance retrieval patterns. Knowledge of effective text chunking techniques for optimal processing and indexing of large documents or datasets. Proficiency in generating and working with text embeddings with understanding of embedding spaces and their applications in semantic search and information. retrieval. Experience with RAG concepts and fundamentals (VectorDBs, AWS OpenSearch, semantic search, etc.), Expertise in implementing RAG systems that combine knowledge bases with Generative AI models. Knowledge of training and fine-tuning Foundation Models (Athropic, Claud , Mistral, etc.), including multimodal inputs and outputs. Proficiency in Python, TypeScript, NodeJS, ReactJS (and equivalent) and frameworks. (e.g., pandas, NumPy, scikit-learn), Glue crawler, ETL Experience with data visualization tools (e.g., Matplotlib, Seaborn, Quicksight). Knowledge of deep learning frameworks (e.g., TensorFlow, Keras, PyTorch). Experience with version control systems (e.g., Git, CodeCommit). Good To Have Skills Knowledge and Experience in building knowledge graphs in production. Understanding of multi-agent systems and their applications in complex problem-solving scenarios. Equal Opportunity Employer Pentair is an Equal Opportunity Employer. With our expanding global presence, cross-cultural insight and competence are essential for our ongoing success. We believe that a diverse workforce contributes different perspectives and creative ideas that enable us to continue to improve every day. Show more Show less

We are seeking a highly skilled Data Scientist (LLM/Gen AI Engineer) to join our AI and Machine Learning team. In this role, you will focus on the research, development, and deployment of Large Language Models (LLMs) and Generative AI solutions to solve real-world problems and enhance intelligent applications. You will work closely with cross-functional teams including data scientists, machine learning engineers, and product managers to build scalable, production-ready Gen AI systems. Key Responsibilities: Research, fine-tune, and deploy Large Language Models (LLMs) such as GPT, LLaMA, Mistral, or similar. Design and implement end-to-end Gen AI pipelines for tasks such as summarization, question answering, code generation, and retrieval-augmented generation (RAG). Preprocess and curate large datasets for training and evaluation of language models. Optimize models for efficiency, accuracy, and scalability using techniques like quantization, distillation, and model pruning. Integrate LLM-based solutions with existing products, APIs, and user-facing applications. Evaluate model performance using metrics like BLEU, ROUGE, perplexity, and human evaluation. Stay up-to-date with the latest trends in AI research, LLM architecture, and Gen AI tools. Collaborate with engineers to scale models in production and monitor model drift or degradation. Document experiments, model behaviors, and results to guide reproducibility and future development. Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or related field. 2–5+ years of experience working as a Data Scientist, ML Engineer, or AI Researcher. Hands-on experience with Large Language Models (OpenAI GPT, PaLM, Claude, LLaMA, Mistral, etc.). Proficient in Python and popular ML/NLP libraries (e.g., PyTorch, TensorFlow, Hugging Face Transformers, LangChain). Deep understanding of NLP, tokenization, embeddings, transformers, and attention mechanisms. Familiarity with prompt engineering and fine-tuning techniques (LoRA, PEFT, etc.). Experience deploying models using cloud platforms (AWS, GCP, Azure) and container tools (Docker, Kubernetes). Strong analytical, problem-solving, and communication skills. Job Types: Full-time, Permanent Pay: Up to ₹30,000.00 per month Benefits: Flexible schedule Schedule: Day shift Ability to commute/relocate: Hyderabad, Telangana: Reliably commute or planning to relocate before starting work (Preferred) Application Question(s): Mention your current location Work Location: In person

Role: Developer: Generative AI and Data Science Work Experience: 3 – 4 Years Key Attributes: ● Graduate Engineer or postgraduate with 03 – 04 years of experience, out of which about 1+ years in advanced Generative AI technologies and the rest in Data Science, AI, and Machine Learning ● Must have a good grasp of database management, including Vector DBs, SQL (Structured Query Language), and NoSQL (Non-relational) databases. ● Must have hands-on Python-based web and back-end frameworks like Django, flask Must-Have Skills: ● Hands-on Gen AI experience across LLMs like OpenAI, Gemini, Mistral, Falcon, etc. ● Advanced RAG (Retrieval Augmented Generation), Multi-Modal RAG, LangChain, LlAMA ● Text analytics: NLP, Sentiment Analysis, Topic Modelling, Seq2Seq, Attention model, Tokenizer, Word2Vec, etc ● Strong proficiency in Python and related libraries (NumPy, Pandas, Scikit-learn, Tensor Flow, Keras, PyTorch, Flask or Django). ● Awareness on agentic System Development, which can perform tasks autonomously and interact with other systems. Key Responsibilities: ● Cross-functional collaboration: Work closely with product management, engineering, and business teams to integrate AI-driven features into products and services, ensuring they meet market needs and customer expectations. ● Investigate the technology trends and implement them within the product following the product vision, strategy, and roadmap. ● Carry out quick POCs/ build MVPs to rapidly demonstrate solution possibilities/feasibilities across Infrastructure, Storage, Analytics, AI/ML, Security etc, ● Ensure efficient usage of tools and implementation of processes and systems thus creating a proficient environment for effective delivery. ● Work with clients to ensure smooth and successful implementation, delivery, and deployment of complex solutions ● Compliance: Ensure all AI and data science activities comply with relevant data privacy laws, regulations, and ethical standards. ● Client Interaction: Engage with clients to understand their needs and ensure successful implementation, delivery, and deployment of AI-driven solutions. Show more Show less

We are looking for a AI Engineer with 3+ years of hands-on experience in Artificial Intelligence/ML and a passion for innovation. This role is ideal for someone who thrives in a startup environment—fast-paced, product-driven, and full of opportunities to make a real impact. You will contribute to building intelligent, scalable, and production-grade AI systems, with a strong focus on Generative AI and Agentic AI technologies. Roles and Responsibilities Build and deploy AI-driven applications and services, focusing on Generative AI and Large Language Models (LLMs). Design and implement Agentic AI systems—autonomous agents capable of planning and executing multi-step tasks. Collaborate with cross-functional teams including product, design, and engineering to integrate AI capabilities into products. Write clean, scalable code and build robust APIs and services to support AI model deployment. Own feature delivery end-to-end—from research and experimentation to deployment and monitoring. Stay current with emerging AI frameworks, tools, and best practices and apply them in product development. Contribute to a high-performing team culture and mentor junior team members as needed. Skill Set 3–6 years of overall software development experience, with 3+ years specifically in AI/ML engineering. Strong proficiency in Python, with hands-on experience in PyTorch, TensorFlow, and Transformers (Hugging Face). Proven experience working with LLMs (e.g., GPT, Claude, Mistral) and Generative AI models (text, image, or audio). Practical knowledge of Agentic AI frameworks (e.g., LangChain, AutoGPT, Semantic Kernel). Experience building and deploying ML models to production environments. Familiarity with vector databases (Pinecone, Weaviate, FAISS) and prompt engineering concepts. Comfortable working in a startup-like environment—self-motivated, adaptable, and willing to take ownership. Solid understanding of API development, version control, and modern DevOps/MLOps practices. Show more Show less

Job Title: Data Scientist SDE-2, SDE-3 & SDE-4 (Staff Data Scientist) Location: Noida & Bangalore Job Type: Full Time About us: PhysicsWallah is an Indian online education technology startup based in Delhi, originally created as a YouTube channel in 2014 by Mr. Alakh Pandey. We are the first company aiming to build an affordable online education platform for each Indian student who dreams of IIT & AIIMS but is unable to afford the existing offline/online education providers. We provide e-learning via our YouTube Channel and PhysicsWallah App/Website by providing lectures for JEE Mains and Advanced level, NEET and Board Exams. We are India’s first most viewed Educational channel on Youtube. YouTube Channel- https://youtube.com/c/PhysicsWallah About the Role: Qualification & Eligibility: Bachelor's or higher degree in a quantitative discipline (computer science, statistics, engineering, applied mathematics) Working Experience: SDE-2: 3 to 5 Years SDE-3: 5 to 7 Years SDE-4 (Staff): 7 to 10 Years Startup experience preferred, Edtech work experience bonus Roles & responsibilities: Help teams understand what data science can do for them and set the right expectations. Use deep learning, machine learning, and analytical methods to create scalable solutions for business problems. Create innovative solutions and applications utilising advanced NLP algorithms/architectures including (but not limited to ) LLMs for tasks such as text generation, summarization, translation, entity extraction and concept recognition, clustering, and more. Contribute to the execution of our vision for NLP-based technology solutions using various NLP toolkits like Huggingface, Spacy, CoreNLP, OpenNLP, etc. Perform relevant data analysis and benchmark the NLP solutions to improve our offerings. Be able to clearly communicate results and recommendations to various stakeholders. Evaluate the effectiveness of the solutions and improve upon them in a continuous manner. We expect one to have a mix of a strong technical background, the ability to understand the business implications of their work, and the ability to empathise with our users and work towards helping PhysicsWallah give them the best experience. Help and mentor junior members to become better data scientists. Skill Sets: Experience in building NLP (ML/DL) models. Strong foundational knowledge in transformers ( BERT, GPTs, T5s, etc.), embedded. Expertise in SQL and Python is a must. Hands-on experience with latest GenAI modelling (GPTs, Mistral, Falcon, and LLama) and approaches (RAG, Langchain, etc.). Experience using machine learning (structured, text, audio/video data) libraries (preferably in Python), deep learning (Tensorflow, PyTorch) Good to have: Foundational knowledge of any cloud (AWS/Azure/GCP) Expertise in querying relational, non-relational, graph databases. Experience in big data technologies (Spark, MapReduce, Pig, and Hive) Show more Show less

Job Overview As an LLM (Large Language Model) Engineer, you will be responsible for designing, optimizing, and standardizing the architecture, codebase, and deployment pipelines of LLM-based systems. Your primary mission will focus on modernizing legacy machine learning codebases (including 40+ models) for a major retail clientenabling consistency, modularity, observability, and readiness for GenAI-driven innovation. Youll work at the intersection of ML, software engineering, and MLOps to enable seamless experimentation, robust infrastructure, and production-grade performance for language-driven systems. This role requires deep expertise in NLP, transformer-based models, and the evolving ecosystem of LLM operations (LLMOps), along with a hands-on approach to debugging, refactoring, and building unified frameworks for scalable GenAI : Lead the standardization and modernization of legacy ML codebases by aligning to current LLM architecture best practices. Re-architect code for 40+ legacy ML models, ensuring modularity, documentation, and consistent design patterns. Design and maintain pipelines for fine-tuning, evaluation, and inference of LLMs using Hugging Face, OpenAI, or open-source stacks (e.g., LLaMA, Mistral, Falcon). Build frameworks to operationalize prompt engineering, retrieval-augmented generation (RAG), and few-shot/in-context learning methods. Collaborate with Data Scientists, MLOps Engineers, and Platform teams to implement scalable CI/CD pipelines, feature stores, model registries, and unified experiment tracking. Benchmark model performance, latency, and cost across multiple deployment environments (on-premise, GCP, Azure). Develop governance, access control, and audit logging mechanisms for LLM outputs to ensure data safety and compliance. Mentor engineering teams in code best practices, versioning, and LLM lifecycle Skills : Deep understanding of transformer architectures, tokenization, attention mechanisms, and training/inference optimization Proven track record in standardizing ML systems using OOP design, reusable components, and scalable service APIs Hands-on experience with MLflow, LangChain, Ray, Prefect/Airflow, Docker, K8s, Weights & Biases, and model-serving platforms. Strong grasp of prompt tuning, evaluation metrics, context window management, and hybrid search strategies using vector databases like FAISS, pgvector, or Milvus Proficient in Python (must), with working knowledge of shell scripting, YAML, and JSON schema standardization Experience managing compute, memory, and storage requirements of LLMs across & Experience : 5+ years in ML/AI engineering with at least 2 years working on LLMs or NLP-heavy systems. Able to reverse-engineer undocumented code and reimagine it with strong documentation and testing in mind. Clear communicator who collaborates well with business, data science, and DevOps teams. Familiar with agile processes, JIRA, GitOps, and confluence-based knowledge sharing. Curious and future-facingalways exploring new techniques and pushing the envelope on GenAI innovation. Passionate about data ethics, responsible AI, and building inclusive systems that scale (ref:hirist.tech) Show more Show less

Bosch Software Engineering, Data Science Pune, Maharashtra, India Posted on May 28, 2025 Apply now Company Description Bosch Global Software Technologies Private Limited is a 100% owned subsidiary of Robert Bosch GmbH, one of the world's leading global supplier of technology and services, offering end-to-end Engineering, IT and Business Solutions. With over 28,200+ associates, it’s the largest software development center of Bosch, outside Germany, indicating that it is the Technology Powerhouse of Bosch in India with a global footprint and presence in the US, Europe and the Asia Pacific region. Job Description Roles & Responsibilities : Roles & Responsibilities Education and Work Experience Requirements: 5 to 8 years of experience as Data Scientist 2 to 3 years of experience in Generative AI solution development Strong understanding of AI agent collaboration, negotiation, and autonomous decision-making. Experience in developing and deploying AI agents that operate independently or collaboratively in complex environments. Deep knowledge of agentic AI principles, including self-improving, self-organizing, and goal-driven agents. Proficiency in multi-agent frameworks such as AutoGen, LangGraph, LangChain, and CrewAI for orchestrating AI workflows. Hands-on experience integrating LLMs (GPT, LLaMA, Mistral, etc.) with agentic frameworks to enhance automation and reasoning. Expertise in hierarchical agent frameworks, distributed agent coordination, and decentralized AI governance. Strong grasp of memory architectures, tool use, and action planning within AI agents. Autonomy Score: Measures the degree of independence in decision-making. Collaboration Efficiency: Evaluates the ability of agents to work together and share information. Task Completion Rate: Tracks the percentage of tasks successfully executed by agents. Response Time: Measures the latency in agent decision-making and execution. Adaptability Index: Assesses how well agents adjust to dynamic changes in the environment. Resource Utilization Efficiency: Evaluates computational and memory usage for optimization. Explainability & Interpretability Score: Ensures transparency in agent reasoning and outputs. Error Rate & Recovery Time: Tracks failures and the system’s ability to self-correct. Knowledge Retention & Utilization: Measures how effectively agents recall and apply information. Hands-on experience with LLMs such as GPT, BERT, LLaMA, Mistral, Claude, Gemini, etc. Proven expertise in both open-source (LLaMA, Gemma, Mixtral) and closed-source (OpenAI GPT, Azure OpenAI, Claude, Gemini) LLMs. Advanced skills in prompt engineering, tuning, retrieval-augmented generation (RAG), reinforcement learning (RAFT), and LLM fine-tuning (PEFT, LoRA, QLoRA). Strong understanding of small language models (SLMs) like Phi-3 and BERT, along with Transformer architectures. Experience working with text-to-image models such as Stable Diffusion, DALL·E, and Midjourney. Proficiency in vector databases such as Pinecone, Qdrant for knowledge retrieval in agentic AI systems. Deep understanding of Human-Machine Interaction (HMI) frameworks within cloud and on-prem environments. Strong grasp of deep learning architectures, including CNNs, RNNs, Transformers, GANs, and VAEs. Expertise in Python, R, TensorFlow, Keras, and PyTorch. Hands-on experience with NLP tools and libraries: OpenNLP, CoreNLP, WordNet, NLTK, SpaCy, Gensim, Knowledge Graphs, and LLM-based applications. Proficiency in advanced statistical methods and transformer-based text processing. Experience in reinforcement learning and planning techniques for autonomous agent behavior. Mandatory Skills Design, develop, test, and deploy Machine Learning models using state-of-the-art algorithms with a strong focus on language models. Strong understanding of LLMs, and associated technologies like RAG, Agents, VectorDB and Guardrails Hand-on experience in GenAI frameworks like LlamaIndex, Langchain, Autogen, etc. Experience in cloud services like Azure, GCP and AWS Multi-agent frameworks: AutoGen, LangGraph, LangChain, CrewAI Large Language Models (LLMs): GPT, Qualifications Educational qualification: BE,BTECH or PHD Experience 7-11 years Mandatory/requires Skills : AI Preferred Skills Apply now See more open positions at Bosch Show more Show less

Redefine the future of customer experiences. One conversation at a time. We’re changing the game with a first-of-its-kind, conversation-centric platform that unifies team collaboration and customer experience in one place. Powered by AI, built by amazing humans. Our culture is forward-thinking, customer-obsessed and built on an unwavering belief that connection fuels business and life; connections to our customers with our signature Amazing Service®, our products and services, and most importantly, each other. Since 2008, 100,000+ companies and 1M+ users rely on Nextiva for customer and team communication. If you’re ready to collaborate and create with amazing people, let your personality shine and be on the frontlines of helping businesses deliver amazing experiences, you’re in the right place. Build Amazing - Deliver Amazing - Live Amazing - Be Amazing We’re looking for a highly skilled and hands-on RAG (Retrieval-Augmented Generation) & Prompt Engineer to join our applied AI team. You’ll work with cutting-edge open-source and proprietary LLMs (like LLaMA, Mistral, Claude, GPT-4o, etc.) to build, prompt, and orchestrate intelligent agents that are capable, reliable, and production-ready. This role is perfect for someone who has experience developing prompt chains, implementing tool-calling workflows, and debugging AI agents at scale. Key Responsibilities Design, develop, and iterate on prompt strategies tailored to downloadable models and major APIs (LLaMA, Mistral, Claude, GPT-4o, etc.). Architect and implement RAG pipelines with a deep understanding of embedding models, retrievers, and context optimization techniques. Create prompt chains and tool-calling workflows for dynamic agent behavior using Responses API and similar frameworks. Design, test, and deploy foolproof agent architectures using OpenAI tool calling and agent protocol layers. Write robust Guardrails and control flows for agents to prevent unintended behaviors and ensure task compliance. Debug and maintain agent codebases, ensuring reliability and scalability of deployed services. Apply basic knowledge of OpenAI Operator and related orchestration tools to manage agent lifecycle. Collaborate with researchers and infra teams to optimize prompt efficiency and latency. Must-Have Qualifications 3 - 5 years of experience in AI engineering, prompt engineering, or applied ML roles. Proven experience working with both downloadable open-source models and hosted APIs. Strong knowledge of LLM prompt design patterns, prompt chaining, and failure handling. Ability to build agent systems that are secure, auditable, and self-healing. Good coding and debugging skills in Python (or relevant stack) with focus on AI orchestration. Familiarity with agent deployment pipelines, containerized environments, and CI/CD flows. Tech Stack We Use Python, FastAPI, LangChain / LlamaIndex. OpenAI, Anthropic, HuggingFace. Vector DBs (Weaviate, Pinecone, Qdrant). Responses API, OpenAI Operator, A2A SDK. Docker, GitHub Actions, GCP/AWS. Bonus (Nice-to-Have Skills) Experience building agents from scratch, especially with agent transfer logic and persistent memory. Understanding of Model Context Protocols and how to integrate them into multi-agent LLM stacks. Familiarity with A2A SDK for agent-to-agent communication and delegation. Hands-on experience with LoRA / QLoRA techniques for fine-tuning GPT-style models on downstream or domain-specific tasks. Experience with vector DBs, context compression, or multi-turn reasoning at scale. Total Rewards Our Total Rewards offerings are designed to allow our employees to take care of themselves and their families so they can be their best, in and out of the office. Our compensation packages are tailored to each role and candidate's qualifications. We consider a wide range of factors, including skills, experience, training, and certifications, when determining compensation. We aim to offer competitive salaries or wages that reflect the value you bring to our team. Depending on the position, compensation may include base salary and/or hourly wages, incentives, or bonuses. Medical 🩺- Medical insurance coverage is available for employees, their spouse, and up to two dependent children with a limit of 500,000 INR, as well as their parents or in-laws for up to 300,000 INR. This comprehensive coverage ensures that essential healthcare needs are met for the entire family unit, providing peace of mind and security in times of medical necessity. Group Term & Group Personal Accident Insurance 💼 - Provides insurance coverage against the risk of death / injury during the policy period sustained due to an accident caused by violent, visible & external means. Coverage Type - Employee Only Sum Insured - 3 times of annual CTC with minimum cap of INR 10,00,000 Free Cover Limit - 1.5 Crore Work-Life Balance ⚖️ - 15 days of Privilege leaves per calendar year, 6 days of Paid Sick leave per calendar year, 6 days of Casual leave per calendar year. Paid 26 weeks of Maternity leaves, 1 week of Paternity leave, a day off on your Birthday, and paid holidays Financial Security💰 - Provident Fund & Gratuity Wellness 🤸‍ - Employee Assistance Program and comprehensive wellness initiatives Growth 🌱 - Access to ongoing learning and development opportunities and career advancement At Nextiva, we're committed to supporting our employees' health, well-being, and professional growth. Join us and build a rewarding career! Established in 2008 and headquartered in Scottsdale, Arizona, Nextiva secured $200M from Goldman Sachs in late 2021, valuing the company at $2.7B.To check out what’s going on at Nextiva, check us out on Instagram, Instagram (MX), YouTube, LinkedIn, and the Nextiva blog. Show more Show less

Job Description Job Description: We are seeking a highly motivated and enthusiastic Senior Data Scientist with 5- 8 years of experience to join our dynamic team. The ideal candidate will have a strong background in AI/ML analytics and a passion for leveraging data to drive business insights and innovation. Key Responsibilities Develop and implement machine learning models and algorithms. Work closely with project stakeholders to understand requirements and translate them into deliverables. Utilize statistical and machine learning techniques to analyze and interpret complex data sets. Stay updated with the latest advancements in AI/ML technologies and methodologies. Collaborate with cross-functional teams to support various AI/ML initiatives. Qualifications Bachelor’s degree in Computer Science, Data Science, or a related field. Strong understanding of machine learning , deep learning and Generative AI concepts. Preferred Skills Experience in machine learning techniques such as Regression, Classification, Predictive modeling, Clustering, Deep Learning stack using python Experience with cloud infrastructure for AI/ ML on AWS(Sagemaker, Quicksight,Athena, Glue). Expertise in building enterprise grade, secure data ingestion pipelines for unstructured data(ETL/ELT) – including indexing, search, and advance retrieval patterns. Proficiency in Python, TypeScript, NodeJS, ReactJS (and equivalent) and frameworks. (e.g., pandas, NumPy, scikit-learn, SKLearn, OpenCV, SciPy), Glue crawler, ETL Experience with data visualization tools (e.g., Matplotlib, Seaborn, Quicksight). Knowledge of deep learning frameworks (e.g., TensorFlow, Keras, PyTorch). Experience with version control systems (e.g., Git, CodeCommit). Strong knowledge and experience in Generative AI/ LLM based development. Strong experience working with key LLM models APIs (e.g. AWS Bedrock, Azure Open AI/ OpenAI) and LLM Frameworks (e.g. LangChain, LlamaIndex). Knowledge of effective text chunking techniques for optimal processing and indexing of large documents or datasets. Proficiency in generating and working with text embeddings with understanding of embedding spaces and their applications in semantic search and information. retrieval. Experience with RAG concepts and fundamentals (VectorDBs, AWS OpenSearch, semantic search, etc.), Expertise in implementing RAG systems that combine knowledge bases with Generative AI models. Knowledge of training and fine-tuning Foundation Models (Athropic, Claud , Mistral, etc.), including multimodal inputs and outputs. Good To Have Skills Knowledge and Experience in building knowledge graphs in production. Understanding of multi-agent systems and their applications in complex problem-solving scenarios. Equal Opportunity Employer Pentair is an Equal Opportunity Employer. With our expanding global presence, cross-cultural insight and competence are essential for our ongoing success. We believe that a diverse workforce contributes different perspectives and creative ideas that enable us to continue to improve every day. Show more Show less

Job Description Job Description: We are seeking a highly motivated and enthusiastic Senior Data Scientist with 2-4 years of experience to join our dynamic team. The ideal candidate will have a strong background in AI/ML analytics and a passion for leveraging data to drive business insights and innovation. Key Responsibilities Develop and implement machine learning models and algorithms. Work closely with project stakeholders to understand requirements and translate them into deliverables. Utilize statistical and machine learning techniques to analyze and interpret complex data sets. Stay updated with the latest advancements in AI/ML technologies and methodologies. Collaborate with cross-functional teams to support various AI/ML initiatives. Qualifications Bachelor’s degree in Computer Science, Data Science, or a related field. Strong understanding of machine learning , deep learning and Generative AI concepts. Preferred Skills Experience in machine learning techniques such as Regression, Classification, Predictive modeling, Clustering, Deep Learning stack using python Experience with cloud infrastructure for AI/ ML on AWS(Sagemaker, Quicksight,Athena, Glue). Expertise in building enterprise grade, secure data ingestion pipelines for unstructured data(ETL/ELT) – including indexing, search, and advance retrieval patterns. Proficiency in Python, TypeScript, NodeJS, ReactJS (and equivalent) and frameworks. (e.g., pandas, NumPy, scikit-learn, SKLearn, OpenCV, SciPy), Glue crawler, ETL Experience with data visualization tools (e.g., Matplotlib, Seaborn, Quicksight). Knowledge of deep learning frameworks (e.g., TensorFlow, Keras, PyTorch). Experience with version control systems (e.g., Git, CodeCommit). Strong knowledge and experience in Generative AI/ LLM based development. Strong experience working with key LLM models APIs (e.g. AWS Bedrock, Azure Open AI/ OpenAI) and LLM Frameworks (e.g. LangChain, LlamaIndex). Knowledge of effective text chunking techniques for optimal processing and indexing of large documents or datasets. Proficiency in generating and working with text embeddings with understanding of embedding spaces and their applications in semantic search and information. retrieval. Experience with RAG concepts and fundamentals (VectorDBs, AWS OpenSearch, semantic search, etc.), Expertise in implementing RAG systems that combine knowledge bases with Generative AI models. Knowledge of training and fine-tuning Foundation Models (Athropic, Claud , Mistral, etc.), including multimodal inputs and outputs. Good To Have Skills Knowledge and Experience in building knowledge graphs in production. Understanding of multi-agent systems and their applications in complex problem-solving scenarios. Equal Opportunity Employer Pentair is an Equal Opportunity Employer. With our expanding global presence, cross-cultural insight and competence are essential for our ongoing success. We believe that a diverse workforce contributes different perspectives and creative ideas that enable us to continue to improve every day. Show more Show less

Role: Developer: Generative AI and Data Science Work Experience: 3 – 4 Years Key Attributes: ● Graduate Engineer or postgraduate with 03 – 04 years of experience, out of which about 1+ years in advanced Generative AI technologies and the rest in Data Science, AI, and Machine Learning ● Must have a good grasp of database management, including Vector DBs, SQL (Structured Query Language), and NoSQL (Non-relational) databases. ● Must have hands-on Python-based web and back-end frameworks like Django, flask Must-Have Skills: ● Hands-on Gen AI experience across LLMs like OpenAI, Gemini, Mistral, Falcon, etc. ● Advanced RAG (Retrieval Augmented Generation), Multi-Modal RAG, LangChain, LlAMA ● Text analytics: NLP, Sentiment Analysis, Topic Modelling, Seq2Seq, Attention model, Tokenizer, Word2Vec, etc ● Strong proficiency in Python and related libraries (NumPy, Pandas, Scikit-learn, Tensor Flow, Keras, PyTorch, Flask or Django). ● Awareness on agentic System Development, which can perform tasks autonomously and interact with other systems. Key Responsibilities: ● Cross-functional collaboration: Work closely with product management, engineering, and business teams to integrate AI-driven features into products and services, ensuring they meet market needs and customer expectations. ● Investigate the technology trends and implement them within the product following the product vision, strategy, and roadmap. ● Carry out quick POCs/ build MVPs to rapidly demonstrate solution possibilities/feasibilities across Infrastructure, Storage, Analytics, AI/ML, Security etc, ● Ensure efficient usage of tools and implementation of processes and systems thus creating a proficient environment for effective delivery. ● Work with clients to ensure smooth and successful implementation, delivery, and deployment of complex solutions ● Compliance: Ensure all AI and data science activities comply with relevant data privacy laws, regulations, and ethical standards. ● Client Interaction: Engage with clients to understand their needs and ensure successful implementation, delivery, and deployment of AI-driven solutions. Show more Show less

Job Information Company Yubi Date Opened 05/28/2025 Job Type Full time Work Experience 6-10 years Industry Technology City Chennai State/Province Tamil Nadu Country India Zip/Postal Code 600001 About Us Yubi stands for ubiquitous. But Yubi will also stand for transparency, collaboration, and the power of possibility. From being a disruptor in India’s debt market to marching towards global corporate markets from one product to one holistic product suite with seven products Yubi is the place to unleash potential. Freedom, not fear. Avenues, not roadblocks. Opportunity, not obstacles. Job Description About Yubi Yubi, formerly known as CredAvenue, is re-defining global debt markets by freeing the flow of finance between borrowers, lenders, and investors. We are the world's possibility platform for the discovery, investment, fulfillment, and collection of any debt solution. At Yubi, opportunities are plenty and we equip you with tools to seize it. In March 2022, we became India's fastest fintech and most impactful startup to join the unicorn club with a Series B fundraising round of $137 million. In 2020, we began our journey with a vision of transforming and deepening the global institutional debt market through technology. Our two-sided debt marketplace helps institutional and HNI investors find the widest network of corporate borrowers and debt products on one side and helps corporates to discover investors and access debt capital efficiently on the other side. Switching between platforms is easy, which means investors can lend, invest and trade bonds - all in one place. All of our platforms shake up the traditional debt ecosystem and offer new ways of digital finance. Yubi Credit Marketplace - With the largest selection of lenders on one platform, our credit marketplace helps enterprises partner with lenders of their choice for any and all capital requirements. Yubi Invest - Fixed income securities platform for wealth managers & financial advisors to channel client investments in fixed income Financial Services Platform - Designed for financial institutions to manage co-lending partnerships & asset based securitization Spocto - Debt recovery & risk mitigation platform Corpository - Dedicated SaaS solutions platform powered by Decision-grade data, Analytics, Pattern Identifications, Early Warning Signals and Predictions to Lenders, Investors and Business Enterprises So far, we have on-boarded over 17000+ enterprises, 6200+ investors & lenders and have facilitated debt volumes of over INR 1,40,000 crore. Backed by marquee investors like Insight Partners, B Capital Group, Dragoneer, Sequoia Capital, LightSpeed and Lightrock, we are the only-of-its-kind debt platform globally, revolutionizing the segment. At Yubi, People are at the core of the business and our most valuable assets. Yubi is constantly growing, with 1000+ like-minded individuals today, who are changing the way people perceive debt. We are a fun bunch who are highly motivated and driven to create a purposeful impact. Come, join the club to be a part of our epic growth story. About the Role We're looking for a highly skilled, results-driven AI Developer who thrives in fast-paced, high-impact environments. If you are passionate about pushing the boundaries of Computer Vision, OCR, NLP and and Large Language Models (LLMs) and have a strong foundation in building and deploying AI solutions, this role is for you. As a Lead Data Scientist, you will take ownership of designing and implementing state-of-the-art AI products. This role demands deep technical expertise, the ability to work autonomously, and a mindset that embraces complex challenges head-on. Here, you won't just fine-tune pre-trained models—you'll be architecting, optimizing, and scaling AI solutions that power real-world applications. Key Responsibilities Architect, develop, and deploy high-performance AI Solutions for real-world applications. Implement and optimize state-of-the-art LLM , OCR models and frameworks. Fine-tune and integrate LLMs (GPT, LLaMA, Mistral, etc.) to enhance text understanding and automation. Build and optimize end-to-end AI pipelines, ensuring efficient data processing and model deployment. Work closely with engineers to operationalize AI models in production (Docker, FastAPI, TensorRT, ONNX). Enhance GPU performance and model inference efficiency, applying techniques such as quantization and pruning. Stay ahead of industry advancements, continuously experimenting with new AI architectures and training techniques. Work in a highly dynamic, startup-like environment, balancing rapid experimentation with production-grade robustness. What We're Looking For Requirements Required Skills & Qualifications: Proven technical expertise – Strong programming skills in Python, PyTorch, TensorFlow with deep experience in NLP and LLM Hands-on experience in developing, training, and deploying LLM and Agentic workflows Strong background in vector databases, RAG pipelines, and fine-tuning LLMs for document intelligence. Deep understanding of Transformer-based architectures for vision and text processing. Experience working with Hugging Face, OpenCV, TensorRT, and NVIDIA GPUs for model acceleration. Autonomous problem solver – You take initiative, work independently, and drive projects from research to production. Strong experience in scaling AI solutions, including model optimization and deployment on cloud platforms (AWS/GCP/Azure). Thrives in fast-paced environments – You embrace challenges, pivot quickly, and execute effectively. Familiarity with MLOps tools (Docker, FastAPI, Kubernetes) for seamless model deployment. Experience in multi-modal models (Vision + Text). Good to Have Financial background and understanding corporate finance . Contributions to open-source AI projects.

Senior Machine Learning Engineer Job Description We are seeking a highly skilled and motivated AI/ML Engineer with 25 years of experience in the software industry. The ideal candidate will have a strong foundation in machine learning, deep learning, and large language models, along with hands-on expertise in modern ML tools and frameworks. Responsibilities And Qualifications Design, develop, and deploy machine learning and deep learning models to solve real-world problems. Apply expert-level proficiency in Python to build and optimize scalable AI solutions. Work extensively with large language models (LLMs) such as LLaMA, Zephyr, Mistral, and OpenAI APIs. Implement and fine-tune transformer-based models, including BERT, GPT, RoBERTa, and related architectures. Leverage ML frameworks and libraries like PyTorch, Langchain, and Spacy in model development. Build and maintain robust MLOps infrastructure to support the complete ML lifecycle. Collaborate with cross-functional teams to integrate AI/ML capabilities into production systems. Demonstrate excellent problem-solving and critical thinking abilities to tackle complex AI challenges. (ref:hirist.tech) Show more Show less