164 Crewai Jobs

Job Title: AI/ML Engineer Experience: 4 To 8 Years Location: Bangalore Key Responsibilities Design, build, and optimize AI/ML solutions for enterprise applications. Develop Generative AI applications with workflows such as RAG Build and deploy AI agents using frameworks like LangGraph, Crew, or PydanticAI . Implement LLM integration and optimize Prompt Engineering workflows (Eg ., GPT, Claude, LLaMA). Collaborate with cross-functional teams to integrate AI solutions into production systems. Utilize Databricks, REST APIs, WebSockets, and event-driven architectures for scalable deployments. Ensure adherence to SDLC best practices, CI/CD pipelines (Jenkins), and Git-based workflows. Leverage AI-augmented development tools for rapid prototyping. Knowledge of enterprise security, compliance, and governance in AI systems. Familiarity with model lifecycle and code management best practices . Required Skills 35 years of experience in Machine Learning/Artificial Intelligent. Experience in Generative AI application development. Strong proficiency in Python and modern software development practices. Hands-on experience with LLMs and prompt engineering . Experience in cloud-native deployment strategies . Strong understanding of agile methodologies and collaborative development . Exposure to MLOps/LLMOps workflows and model monitoring .

As a highly skilled Gen AI Engineer with 1 to 3 years of experience and hands-on expertise in building and deploying AI agents, you will be responsible for architecting, developing, and deploying intelligent agents that automate workflows, integrate with APIs and CRMs, and deliver real-time decision-making capabilities. - Design, build, and deploy AI agents using LangChain, LangGraph, OpenAI Assistants, and CrewAI. - Develop modular, scalable pipelines for retrieval-augmented generation (RAG), tool integrations, and multi-agent collaboration. - Integrate agents with databases, CRMs, APIs, and external systems. - Optimize prompt engineering, memory, and context management. - Implement LLM orchestration, error handling, and performance monitoring. - Collaborate with product and business teams to translate requirements into functional AI-driven workflows. - Stay updated on emerging AI frameworks, LLM models, and agent ecosystems. Required Skills & Experience: - Strong proficiency in Python (1+ years professional experience). - Hands-on experience with LangChain, LangGraph, OpenAI Assistants API, and CrewAI. - Proven track record of building and deploying AI agents in production. - Deep understanding of LLM concepts: embeddings, vector databases, RAG pipelines, prompt engineering. - Experience with API integration (REST, GraphQL, webhooks). - Familiarity with cloud platforms (AWS, GCP, or Azure). - Strong problem-solving and debugging skills. Nice-to-Have: - Experience with FastAPI for serving AI endpoints. - Knowledge of vector databases (Pinecone, Weaviate, Chroma, FAISS). - Exposure to multi-agent systems and orchestration frameworks. - Prior work on enterprise AI solutions (chatbots, automation agents, sales/marketing AI, etc.). - Contribution to open-source AI frameworks. In this role, you will have the opportunity to work on cutting-edge AI agent technologies in a collaborative environment with an AI-first mindset. The company offers a competitive salary, performance-based incentives, flexibility in working hours, and project ownership. Location: On-site (Ahmedabad, Gujarat) Employment Type: Full-time,

As a Senior GenAI / Agentic AI Specialist with 6-8 years of overall experience in AI/ML, including at least 2 years of hands-on expertise in Generative AI and agentic AI systems, your role will involve working with advanced AI models, designing agent workflows, and integrating AI systems into enterprise environments with a focus on scalability, security, and responsible AI practices. Key Responsibilities: - Work with Generative AI technologies including LLMs, diAusion models, and enterprise applications. - Develop and optimize agentic workflows, including multi-agent collaboration and orchestration. - Design and implement Generative AI solutions tailored for enterprise use cases. - Integrate AI agents with APIs, databases, and cloud services. - Apply prompt engineering, context management, and memory handling in agent systems. - Ensure Responsible AI practices are implemented and adhered to. - Deploy AI agents into production environments. - Optimize scalability and performance of AI systems. - Implement robust security practices including IAM, AD, ADLDS, roles, and service accounts. Required Skills & Qualifications: - 6-8 years of overall experience in AI/ML, with at least 2 years in Generative and Agentic AI. - Expertise in generative AI models and prompt engineering techniques. - Proficiency in Python/Java-based AI libraries for developing GenAI applications. - Hands-on experience with agentic AI systems including autonomous agents, multi-step reasoning, and tool orchestration. - Experience with frameworks such as LangGraph, LangChain, AutoGen, CrewAI, and Google ADK. - Practical exposure to MCP server implementation and agent-to-agent communication. - Experience designing and implementing retrieval-augmented generation (RAG) pipelines. - Experience building chatbots for platforms like Microsoft Teams or Slack. - Strong understanding and hands-on experience with vector databases. - Knowledge of context engineering. - Experience with reinforcement learning and fine-tuning LLMs. - Proven experience in building and deploying conversational chat applications. - Proficiency in containerization and orchestration using Kubernetes. - Experience working with SQL and NoSQL databases.,

JD Description: AI/ML Developer (3-5 Years Experience) Agentic AI Assets Role Overview : We are seeking a highly skilled developer with 3-5 years of deep, hands-on experience in Artificial Intelligence and Machine Learning to design and build advanced assets for our Agentic AI solutions. The ideal candidate will demonstrate exceptional knowledge in AI/ML algorithms and frameworks, a serious track record in deploying models at scale, and strong expertise working with Large Language Models (LLMs). Key Responsibilities Design, implement, and optimize complex AI/ML assets and models for agentic AI solutions. Lead research and prototyping efforts in ML and AI algorithm development, with a focus on advancing the core intelligence of agentic AI systems. Develop, fine-tune, and experiment with Gen AI LLMs, working with state-of-the-art architectures and leveraging the latest research in natural language processing and generative AI. Apply advanced techniques such as transfer learning, reinforcement learning, and retrieval-augmented generation (RAG). Collaborate closely with product, engineering, and research teams to benchmark performance, drive technical innovation, and set the direction for AI/ML initiatives. Understand requirements on domain specific use cases and implement AI/ML solutions Required Skills & Qualifications 3-5 years strong professional experience as an AI/ML engineer, data scientist, or research scientist. Strong knowledge on Agent to Agent communication and development of Agentic AI frameworks Experience with vector search/vector databases, knowledge graphs, and data pipelines for RAG-based systems. Expert-level Python programming skills and fluency in libraries and toolkits such as NumPy, Pandas, scikit-learn, PyTorch, TensorFlow, Hugging Face, etc. In-depth knowledge of classical and advanced machine learning algorithms, deep learning, neural network architectures, and their real-world applications. Demonstrable experience building and fine-tuning LLMs (such as GPT, Llama, Mistral, etc.) and integrating them into robust solutions. Strong background in state-of-the-art ML methodologies: prompt engineering, embeddings, transformers, self-supervised and unsupervised learning, RLHF, etc. Experience with production-level deployment of AI/ML models, cloud-based ML infrastructure (AWS/GCP/Azure/IBM Cloud), containerization (Docker), and scalable MLOps practices. Developing Solutions Aligned with AI Governance and Ethical AI Standards Good to Have Familiarity with agentic AI frameworks or multi-agent systems. Publications, patents, or open-source contributions in AI/ML. Strong analytical and communication skills. UIUX Knowledge and framework RDBMS and NoSQL database knowledge Knowledge on AIML model finetune Knowledge on MCP

Were seeking a forward-thinking Gen AI Engineer to design, implement, and optimize cutting-edge agentic AI solutions using frameworks such as Crew.ai , LangChain , and LangGraph . You will work at the intersection of LLMs , Retrieval-Augmented Generation (RAG) systems, and NLP , enabling impactful AI applications across diverse domains. Key Responsibilities Design and deploy autonomous AI agents and multi-agent systems using LLMs such as GPT-4o, Claude, and LLaMA, leveraging Crew.ai, LangChain (and LangGraph). Own the AI solution lifecycle , including data acquisition, model experimentation, fine-tuning, deployment, and production monitoring. Develop scalable AI backends and pipelines using Python with frameworks like PyTorch or TensorFlow, deploying via REST APIs (FastAPI) on cloud platforms like AWS or Azure. Implement RAG-based systems by integrating open-source LLMs (via Hugging Face or Ollama) with vector databases (e.g., Pinecone, ChromaDB) and structured data stores (SQL/NoSQL). Collaborate with cross-functional teams to ensure reliable, maintainable, and impactful AI solutions. Required Skills & Experience 2 to 5 years of experience in AI/ML, NLP, Generative AI, with a focus on agentic AI systems . Strong proficiency in Python and hands-on experience building RAG systems and deploying open-source LLMs. Experience developing AI-driven backends and services with a strong understanding of scalability and performance. Familiarity with vector search technologies, database integration, and cloud-native architectures. Excellent communication and collaboration skills; ability to work effectively in a team environment. Education B.Tech/B.E. or M.Tech/M.E. in Computer Science, AI/ML, or a related field. Role: Gen AI Engineer Designation: AI Developer Experience: 2-5 Years (AI/ML, NLP, Generative AI): Location: Pune

Company: Technodysis Pvt Ltd Location: Bangalore Experience: 6 - 8 Years Notice Period: Immediate Joiners Preferred Job Description: We are seeking a Technical 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 5 - 8 years in AI/ML development with 12 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

Role Overview: As a Senior Consultant in TMT Business Consulting Finance at EY, you will have the opportunity to work with Technology, Media & Entertainment, and Telecommunications organizations to help them evolve, transform, and stay competitive in the industry. Your role will involve creating compelling employee and customer experiences, ensuring operational excellence, safeguarding data and reputation, and supporting M&A strategies. You will play a key part in shaping the future of the technology revolution and contributing to building a better working world for all. Key Responsibilities: - Develop end-to-end GenAI solutions using LLMs (OpenAI, Claude, Llama, Gemini, etc.) - Build and manage multi-agent orchestration using frameworks like AutoGen, CrewAI, Semantic Kernel - Design document chunking, embedding, and indexing pipelines using Pinecone, Weaviate, FAISS, pgvector - Optimize RAG pipelines for latency, relevance, and safety - Create reusable prompt templates for zero-shot, few-shot, and chain-of-thought applications - Fine-tune open-source models using LoRA, QLoRA, or supervised datasets when needed - Containerize AI workflows using Docker/Kubernetes and deploy on Azure/AWS/GCP - Set up CI/CD pipelines, logging, monitoring, and automated evaluation metrics (hallucination, toxicity) - Maintain clean code, modular utilities, internal documentation, and reusable accelerator components for the GenAI Factory Qualifications Required: - 3-5 years of practical experience in building GenAI or Agentic AI applications with measurable business outcomes - Strong Python skills (asyncio, FastAPI, LangChain, Pydantic), basic JavaScript/TypeScript for integration plugins - Experience with LangChain, LlamaIndex, AutoGen, CrewAI, Semantic Kernel, and Hugging Face ecosystem - Expertise in machine learning algorithms and deep learning techniques (e.g., BERT, GPT, LSTM, CNN, RNN) - Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related field Additional Company Details: At EY, you will have the opportunity to work with over 200,000 clients globally and be part of a team of 300,000 professionals, including 33,000 individuals in India. EY is committed to investing in the skills and learning of its employees, offering personalized Career Journeys and access to career frameworks to enhance roles, skills, and opportunities. The organization is dedicated to being an inclusive employer, striving to achieve a balance between delivering excellent client service and supporting the career growth and well-being of its employees.,

Your role: Do you have a curious mind, want to be involved in the latest technology trends and like to solve problems that have a meaningful benefit to hundreds of users across the bank Join our Tech Services- Group Chief Technology Office team and become a core contributor for the execution of the banks global AI Strategy, particularly to help the bank deploy AI models quickly and efficiently! We are looking for an experienced Data Engineer or ML Engineer to drive the delivery of an innovative ecosystem of tools and services. In this AI focused role, you will contribute to the development of a state-of-the-art Model Development, Deployment and Governance environment for classic, generative and agentic AI. Responsibilities may include: - Country lead of other Senior Engineers - Direct interaction with product owners and internal users to identify requirements, development of technical solutions and execution - Lead Development of an SDK (Software Development Kit) to automatically capture data product, dataset and AI / ML model metadata. Also, leverage LLMs to generate descriptive information about assets - Integration and publication of metadata into UBS's AI Use-case inventory, model artifact registry and Enterprise Data Mesh data product and dataset catalogue for discovery and regulatory compliance purposes - Design and implementation of services that seamlessly collects runtime evidence and operational information about a data product or model and publishes it to appropriate visualization tools - Creation of a collection of starters/templates that accelerate the creation of new data products by leveraging a collection of the latest tools and services and providing diverse and rich experiences to the Devpod ecosystem. - Design and implementation of data contract and fine-grained access mechanisms to enable data consumption on a "need to know" basis Your team: You will be part of the Data Mesh & AI Tooling team, which is a newly established function within Group Chief Technology Office. We provide solutions to help the firm embrace Artificial Intelligence and Machine Learning. We work with the divisions and functions of the firm to provide innovative solutions that integrate with their existing platforms to provide new and enhanced capabilities. One of our current aims is to help a data scientist get a model into production in an accelerated timeframe with the appropriate controls and security. We offer a number of key capabilities: data discovery that uses AI/ML to help users find data and obtain access a secure and controlled manner, an AI Inventory that describes the models that have been built to help users build their own use cases and validate them with Model Risk Management, a containerized model development environment for a user to experiment and produce their models and a streamlined MLOps process that helps them track their experiments and promote their models. Your expertise: - PHD or Masters degree in Computer Science or any related advanced quantitative discipline - 10+ years industry experience with Python / Pandas, SQL / Spark, Azure fundamentals / Kubernetes and Gitlab - Additional experience in data engineering frameworks (Databricks / Kedro / Flyte), ML frameworks (MLFlow / DVC) and Agentic Frameworks (Langchain, Langgraph, CrewAI) is a plus - Experience in leading and mentoring other Senior Engineers - Ability to produce secure and clean code that is stable, scalable, operational, and well-performing. Be up to date with the latest IT standards (security, best practices). Understanding the security principles in the banking systems is a plus - Ability to work independently, manage individual project priorities, deadlines and deliverables - Willingness to quickly learn and adopt various technologies - Excellent English language written and verbal communication skills About Us: UBS is the worlds largest and the only truly global wealth manager. We operate through four business divisions: Global Wealth Management, Personal & Corporate Banking, Asset Management and the Investment Bank. Our global reach and the breadth of our expertise set us apart from our competitors. We have a presence in all major financial centers in more than 50 countries. Join us: At UBS, we know that it's our people, with their diverse skills, experiences and backgrounds, who drive our ongoing success. Were dedicated to our craft and passionate about putting our people first, with new challenges, a supportive team, opportunities to grow and flexible working options when possible. Our inclusive culture brings out the best in our employees, wherever they are on their career journey. We also recognize that great work is never done alone. Thats why collaboration is at the heart of everything we do. Because together, were more than ourselves. Were committed to disability inclusion and if you need reasonable accommodation/adjustments throughout our recruitment process, you can always contact us. Disclaimer / Policy Statements: UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.,

As a Senior Data Scientist at our client's organization, your role will involve architecting agentic AI solutions and overseeing the entire ML lifecycle, from proof-of-concept to production. You will play a key role in operationalizing large language models, designing multi-agent AI systems for cybersecurity tasks, and implementing MLOps best practices. Key Responsibilities: - Operationalise large language models and agentic workflows (LangChain, LangGraph, LlamaIndex, Crew.AI) to automate security decision-making and threat response. - Design, deploy, and maintain multi-agent AI systems for log analysis, anomaly detection, and incident response. - Build proof-of-concept GenAI solutions and evolve them into production-ready components on AWS (Bedrock, SageMaker, Lambda, EKS/ECS) using reusable best practices. - Implement CI/CD pipelines for model training, validation, and deployment with GitHub Actions, Jenkins, and AWS CodePipeline. - Manage model versioning with MLflow and DVC, set up automated testing, rollback procedures, and retraining workflows. - Automate cloud infrastructure provisioning with Terraform and develop REST APIs and microservices containerized with Docker and Kubernetes. - Monitor models and infrastructure through CloudWatch, Prometheus, and Grafana; analyze performance and optimize for cost and SLA compliance. - Collaborate with data scientists, application developers, and security analysts to integrate agentic AI into existing security workflows. Qualifications: - Bachelors or Masters in Computer Science, Data Science, AI, or related quantitative discipline. - 4+ years of software development experience, including 3+ years building and deploying LLM-based/agentic AI architectures. - In-depth knowledge of generative AI fundamentals (LLMs, embeddings, vector databases, prompt engineering, RAG). - Hands-on experience with LangChain, LangGraph, LlamaIndex, Crew.AI, or equivalent agentic frameworks. - Strong proficiency in Python and production-grade coding for data pipelines and AI workflows. - Deep MLOps knowledge: CI/CD for ML, model monitoring, automated retraining, and production-quality best practices. - Extensive AWS experience with Bedrock, SageMaker, Lambda, EKS/ECS, S3 (Athena, Glue, Snowflake preferred). - Infrastructure as Code skills with Terraform. - Experience building REST APIs, microservices, and containerization with Docker and Kubernetes. - Solid data science fundamentals: feature engineering, model evaluation, data ingestion. - Understanding of cybersecurity principles, SIEM data, and incident response. - Excellent communication skills for both technical and non-technical audiences. Preferred Qualifications: - AWS certifications (Solutions Architect, Developer Associate). - Experience with Model Context Protocol (MCP) and RAG integrations. - Familiarity with workflow orchestration tools (Apache Airflow). - Experience with time series analysis, anomaly detection, and machine learning.,

What's the role As Senior Software Engineer you have 5+ years of experience and your role includes: Software Development: Develop, code, test, and deploy software components. Investigate and correct software defects. Continuous Learning: Stay updated on new technologies and programming languages. Database and Cloud Integration: Work with AWS or other cloud platforms. Automation and Configuration: Create and maintain scripts and configurations for software releases. Develop robust automation scripts. Agile Collaboration: Participate in agile planning and collaborate with teams to execute test matrices. Quality Assurance: Translate user stories into test cases, automate testing, and track defects. Maintain test suites and documentation. Troubleshooting and Optimization: Assist in troubleshooting and optimizing workflows. Identify and address gaps in requirements and tools. Best Practices: Promote best engineering practices and seek continuous improvement. Who are you Qualifications Bachelor or master's degree in Computer Science/Information Systems or equivalent. 5+ years of software design & development experience. Strong programming skills in Python, with proficiency in C++. Experience with Model Content Protocol (MCP) and one or more agentic AI frameworks such as LangGraph, AWS Bedrock AgentCore, CrewAI, or Microsoft AutoGen. Experience with containerized workloads and orchestration tools such as Kubernetes and Argo. Infrastructure experience: Git/GitLab, CI/CD, AWS, Linux, and Maven/SBT/Poetry. Able to provide technical leadership and domain expertise to help build the competence of other engineers (e.g., researching new technologies, sharing tutorials with the team, etc.) Able to translate business and architectural features into quality, consistent software design. A strong quality mindset is considered a must: unit testing, performance testing, writing testable code. Eagerness for challenges, the ability to lead and advance teams of developers and work with a variety of technologies and personnel. Strong communication skills in English, both written and spoken. Preferred Qualifications Experience with spatial data processing, Computer Vision algorithms, and/or Machine Learning frameworks. Experience with MLOps frameworks and best practices. Knowledge of PostgreSQL, SQL, or other database technologies. Strong communication and collaboration skills in a distributed team environment. HERE is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, age, gender identity, sexual orientation, marital status, parental status, religion, sex, national origin, disability, veteran status, and other legally protected characteristics. Who are we HERE Technologies is a location data and technology platform company. We empower our customers to achieve better outcomes - from helping a city manage its infrastructure or a business optimize its assets to guiding drivers to their destination safely. At HERE we take it upon ourselves to be the change we wish to see. We create solutions that fuel innovation, provide opportunity and foster inclusion to improve people's lives. If you are inspired by an open world and driven to create positive change, join us. Learn more about us on our YouTube Channel.

JOB DESCRIPTION Roles & responsibilities Here are some of the key responsibilities of Sr AI Research Scientist: Research and Development: Conduct original research on generative AI models, focusing on model architecture, training methodologies, fine-tuning techniques, and evaluation strategies. Maintain a strong publication record in top-tier conferences and journals, showcasing contributions to the fields of Natural Language Processing (NLP), Deep Learning (DL), and Machine Learning (ML). Experience with POCs on emerging and latest innovation in AI. Multimodal Development: Design and experiment with multimodal generative models that integrate various data types, including text, images, and other modalities to enhance AI capabilities. Agentic AI Systems: Develop and design autonomous AI systems that exhibit agentic behavior, capable of making independent decisions and adapting to dynamic environments. Design and Implementation: Lead the design, development, and implementation of generative AI models and systems, ensuring a deep understanding of the domain. Select suitable models, train them on large datasets, fine-tune hyperparameters, and optimize overall performance. Algorithm Optimization: Optimize generative AI algorithms to enhance their efficiency, scalability, and computational performance through techniques such as parallelization, distributed computing, and hardware acceleration, maximizing the capabilities of modern computing architectures. Data Preprocessing and Feature Engineering: Manage large datasets by performing data preprocessing and feature engineering to extract critical information for generative AI models. This includes tasks such as data cleaning, normalization, dimensionality reduction, and feature selection. Model Evaluation and Validation: Evaluate the performance of generative AI models using relevant metrics and validation techniques. Conduct experiments, analyze results, and iteratively refine models to meet desired performance benchmarks. Technical Leadership: Provide technical leadership and mentorship to junior team members, guiding their development in generative AI through work reviews, skill-building, and knowledge sharing. Ability to drive multiple teams and cross-collaborate to ensure the quality delivery. Documentation and Reporting: Document research findings, model architectures, methodologies, and experimental results thoroughly. Prepare technical reports, presentations, and whitepapers to effectively communicate insights and findings to stakeholders. Continuous Learning and Innovation: Stay abreast of the latest advancements in generative AI by reading research papers, attending conferences, and engaging with relevant communities. Foster a culture of learning and innovation within the team to drive continuous improvement. Mandatory technical & functional skills Machine learning frameworks - PyTorch or TensorFlow. Deep Learning algorithms - CNN, RNN, LSTM, Transformers LLMs ( BERT, GPT, etc.) and NLP algorithms. Design experience for fine Tuning of Open source LLMs from Huggingface, Meta- LLaMA 3.1, BLOOM, Mistral AI etc. GCP : Vertex AI or Azure : AI Foundry or AWS SageMaker Scientific understanding - PEFT - LORA, QLORA, etc. Exposure to GCP : Vertex AI or Azure : AI Foundry or AWS SageMaker In-depth conceptual understanding on emerging and latest innovation in AI. Stay current with AI trends - MCP, A2A protocol, ACP, etc. Preferred Technical & Functional Skills Langgraph/CrewAI/Autogen Large scale deployment of GenAI/DL/ML projects, with good understanding of MLOps /LLM Ops Ensure scalability and efficiency, handle data tasks, Cloud computing experience- Azure/AWS/GCP BigQuery/Synapse Key behavioral attributes/requirements Ability to mentor Managers and Tech Leads Ability to own project deliverables, not just individual tasks Understand business objectives and functions to support data needs RESPONSIBILITIES Roles & responsibilities Here are some of the key responsibilities of Sr AI Research Scientist: Research and Development: Conduct original research on generative AI models, focusing on model architecture, training methodologies, fine-tuning techniques, and evaluation strategies. Maintain a strong publication record in top-tier conferences and journals, showcasing contributions to the fields of Natural Language Processing (NLP), Deep Learning (DL), and Machine Learning (ML). Experience with POCs on emerging and latest innovation in AI. Multimodal Development: Design and experiment with multimodal generative models that integrate various data types, including text, images, and other modalities to enhance AI capabilities. Agentic AI Systems: Develop and design autonomous AI systems that exhibit agentic behavior, capable of making independent decisions and adapting to dynamic environments. Design and Implementation: Lead the design, development, and implementation of generative AI models and systems, ensuring a deep understanding of the domain. Select suitable models, train them on large datasets, fine-tune hyperparameters, and optimize overall performance. Algorithm Optimization: Optimize generative AI algorithms to enhance their efficiency, scalability, and computational performance through techniques such as parallelization, distributed computing, and hardware acceleration, maximizing the capabilities of modern computing architectures. Data Preprocessing and Feature Engineering: Manage large datasets by performing data preprocessing and feature engineering to extract critical information for generative AI models. This includes tasks such as data cleaning, normalization, dimensionality reduction, and feature selection. Model Evaluation and Validation: Evaluate the performance of generative AI models using relevant metrics and validation techniques. Conduct experiments, analyze results, and iteratively refine models to meet desired performance benchmarks. Technical Leadership: Provide technical leadership and mentorship to junior team members, guiding their development in generative AI through work reviews, skill-building, and knowledge sharing. Ability to drive multiple teams and cross-collaborate to ensure the quality delivery. Documentation and Reporting: Document research findings, model architectures, methodologies, and experimental results thoroughly. Prepare technical reports, presentations, and whitepapers to effectively communicate insights and findings to stakeholders. Continuous Learning and Innovation: Stay abreast of the latest advancements in generative AI by reading research papers, attending conferences, and engaging with relevant communities. Foster a culture of learning and innovation within the team to drive continuous improvement. Mandatory technical & functional skills Machine learning frameworks - PyTorch or TensorFlow. Deep Learning algorithms - CNN, RNN, LSTM, Transformers LLMs ( BERT, GPT, etc.) and NLP algorithms. Design experience for fine Tuning of Open source LLMs from Huggingface, Meta- LLaMA 3.1, BLOOM, Mistral AI etc. GCP : Vertex AI or Azure : AI Foundry or AWS SageMaker Scientific understanding - PEFT - LORA, QLORA, etc. Exposure to GCP : Vertex AI or Azure : AI Foundry or AWS SageMaker In-depth conceptual understanding on emerging and latest innovation in AI. Stay current with AI trends - MCP, A2A protocol, ACP, etc. Preferred Technical & Functional Skills Langgraph/CrewAI/Autogen Large scale deployment of GenAI/DL/ML projects, with good understanding of MLOps /LLM Ops Ensure scalability and efficiency, handle data tasks, Cloud computing experience- Azure/AWS/GCP BigQuery/Synapse Key behavioral attributes/requirements Ability to mentor Managers and Tech Leads Ability to own project deliverables, not just individual tasks Understand business objectives and functions to support data needs QUALIFICATIONS This role is for you if you have the below Educational Qualifications Masters (MS by Research)/PhD or equivalent degree in Computer Science Preferences to research scholars from Tier 1 colleges- IITs, NITs, IISc, IIITs, ISIs, etc. Work Experience 12+ Years of experience with strong record of publications (at least 5) in top tier conferences and journals #KGS Show more Show less

Greetings from SDG!! We are looking for you to join our SDG family!! SDG is a global cybersecurity, identity governance, risk consulting, and advisory company that advises and partners with clients to address their complex security, compliance, and technology needs and delivers on strategy, transformation, and long-term management of their cybersecurity and IAM programs. We help some of the largest brands in the world realize their business vision through a mix of strategic advice, expert systems integration, relevant technology recommendations, and smart managed services. Our value proposition to our customers is that we bring thought leadership to the table in each of our domains, a passion for customer success, and an eye to risk management in everything we do. Looking for notice serving candidates or immediate available. Position: Technical Architect Experience: 6+yrs Location: Noida (Hybrid) / Remote What Impact will you make? As the AI Technical Architect, you will lead the organizations strategic vision for GenAI and Agentic AI solutions, driving innovation through advanced AI technologies. Your contribution will shape the development of AI-driven solutions that deliver high value to the business and its customers Work youll do Primary Responsibilities and Daily Tasks Integrate AI Agents with Enterprise Platforms: Develop and maintain secure integrations with IAM/ITSM tools like ServiceNow, SailPoint, Saviynt, Okta, and Ping. Engineer Agent Workflows and Prompt Strategies: Build multi-step agent workflows using contextual memory, prompt chaining, and tool-based reasoning. Optimize Production AI Systems: Tune latency, caching, and inference efficiency in real-world deployments, using tools like LangSmith. Lead Technical Initiatives and Evaluate Tools: Assess new GenAI tooling, mentor developers, enforce standards, and guide system scalability and fault tolerance. Short-term and Long-term Goals Short-term: Rollout and enhance tailored AI Solution implementations and integrations Long-term: Develop a scalable AI architecture for continuous improvement in AI methodologies Enough about us, lets talk about you We are looking for a hands-on leader with an deep knowledge of Gen AI, Agent Architecture and implementation, capable of defining AI solutions at an enterprise level. Requirements: Essential Skills and Qualifications Technical Expertise: Agentic AI Frameworks: Expertise in one or more solutions like LangGraph, AutoGen, CrewAI, and Python-based orchestration. Production Deployment: Experience in deploying AI agents with real-time inference, within containerized deployments. Tools & Infrastructure: Deep hands-on experience with LangGraph, embedding models, fallback handling, and human-in-loop validation. Security & Access Management: Strong understanding of JWT, OAuth, RBAC, and secure API communication. Performance Monitoring: Skills in using observability tools like LangSmith and implementing tuning mechanisms. LLMs, Vector Stores & Retrieval Frameworks: Proficiency with Chromadb, Weaviate, RAG pipelines, and memory modules.

Location: Hyderabad, India | Employment Type: Full-Time Experience Level: 4+Years Company: Covasant Contact Person: Ranjith Reddy 9703455109 | ranjith.palle@covasant.cm | linkedin.com/in/ranjith-r-75a766227 Build the Future of AI with Covasant At Covasant , we don't just work with AI we engineer the next era of it. We're hiring mid-level to senior developers and AI leads to help us build next-generation agentic AI systems that are intelligent, collaborative, and scalable. This is your chance to go beyond prompt engineering and shape the architecture of autonomous, multi-agent AI solutions using tools like LangGraph, AutoGen, CrewAI , and more. If youve got the skills and curiosity to work on what the AI world will be talking about next year , we want to hear from you. Your Role Design and develop multi-agent LLM systems using LangGraph, AutoGen, or CrewAI. Build and deploy MCP servers , LLM gateways , and design Agent-to-Agent collaboration flows. Fine-tune language models for verticals like healthcare, manufacturing, or finance. Architect retrieval-augmented generation (RAG) systems with vector stores like FAISS, Pinecone, or Weaviate. Integrate tools like LangSmith , GuardrailsAI , and knowledge graphs to ensure trust, safety, and observability. Collaborate cross-functionally with product, data science, and engineering teams. What You Bring 2+ years in software development, with strong Python skills. Proven expertise in one or more: LangGraph , AutoGen , CrewAI . Deep understanding of Agent-based AI , LLM orchestration , and RAG pipelines . Experience fine-tuning LLMs and applying prompt engineering and domain adaptation . Familiarity with tools like LangSmith , PromptGuard , or Guardrails frameworks. Bonus If You Have Cloud experience (AWS, Azure, GCP) Familiarity with Docker, Kubernetes Exposure to multi-modal models (LLaMA, Mistral, Falcon) Frontend tech: React, Angular, or Vue CI/CD, MLOps, or LLMOps knowledge Important Were currently hiring mid-level, senior, and lead professionals with hands-on experience in AI/ML projects . These openings are not for freshers or professionals with less than 2 years of experience but we are planning something exciting for early-career AI talent soon! Why Join Covasant Work on real-world agentic AI systems ahead of industry trends Collaborative and innovation-first work culture Competitive pay, benefits & performance incentives Hybrid/flexible work setup A chance to lead and influence the next chapter in AI Let’s Connect If this excites you — whether or not you're actively job hunting — don’t miss the chance to explore this game-changing opportunity. Ranjith Reddy – 9703455109 ranjith.palle@covasant.cm Connect with me on LinkedIn – I’d love to stay in touch, even if this isn’t the right time. Apply now or just start a conversation. The future of AI doesn’t wait — and neither should you.

The responsibilities for this role include conducting original research on generative AI models, focusing on model architectures, training methods, fine-tuning, and evaluation strategies. You will be responsible for building Proof of Concepts (POCs) with emerging AI innovations and assessing their feasibility for production. Additionally, you will design and experiment with multimodal generative models encompassing text, images, audio, and other modalities. Developing autonomous, agent-based AI systems capable of adaptive decision-making is a key aspect of the role. You will lead the design, training, fine-tuning, and deployment of generative AI systems on large datasets. Optimizing AI algorithms for efficiency, scalability, and computational performance using parallelization, distributed systems, and hardware acceleration will also be part of your responsibilities. Managing data preprocessing and feature engineering, including cleaning, normalization, dimensionality reduction, and feature selection, is essential. You will evaluate and validate models using industry-standard benchmarks, iterating to achieve target KPIs. Providing technical leadership and mentorship to junior researchers and engineers is crucial. Documenting research findings, model architectures, and experimental outcomes in technical reports and publications is also required. It is important to stay updated with the latest advancements in NLP, DL, and generative AI to foster a culture of innovation within the team. The mandatory technical and functional skills for this role include strong expertise in PyTorch or TensorFlow. Proficiency in deep learning architectures such as CNN, RNN, LSTM, Transformers, and LLMs (BERT, GPT, etc.) is necessary. Experience in fine-tuning open-source LLMs (Hugging Face, LLaMA 3.1, BLOOM, Mistral AI, etc.) is required. Hands-on knowledge of PEFT techniques (LoRA, QLoRA, etc.) is expected. Familiarity with emerging AI frameworks and protocols (MCP, A2A, ACP, etc.) is a plus. Deployment experience with cloud AI platforms like GCP Vertex AI, Azure AI Foundry, or AWS SageMaker is essential. A proven track record in building POCs for cutting-edge AI use cases is also important. In terms of the desired candidate profile, experience with LangGraph, CrewAI, or Autogen for agent-based AI is preferred. Large-scale deployment of GenAI/ML projects with MLOps/LLMOps best practices is desirable. Experience in handling scalable data pipelines (BigQuery, Synapse, etc.) is a plus. A strong understanding of cloud computing architectures (Azure, AWS, GCP) is beneficial. Key behavioral attributes for this role include a strong ownership mindset, being able to lead end-to-end project deliverables, not just tasks. The ability to align AI solutions with business objectives and data requirements is crucial. Excellent communication and collaboration skills for cross-functional projects are also important.,

Job Title: Senior Data Scientist / Senior Gen AI Developer Location: PAN India Years of Experience: 4-10 years (Experience: 4- 10 years with at least 3-5 project lifecycle experience in data science.) with Bachelor/Master in Statistics/Economics, BE/BTech/MTech with above experience . Position Overview: This role requires a strong expertise in AI/ML with a focus on Generative AI, combined with business acumen to drive client transformation. In this role, you will be responsible for the design, development, and optimization of AI/ML & generative AI models, with a focus on leveraging Python for algorithm development, model implementation, and deployment. Key Responsibilities: Solution Development: Design and implement AI & Gen AI powered solutions using LLMs (eg. Open AI, Claude, Gemini, Llama3). Fine-tune AI/generative AI models using Python and machine learning libraries. Leverage Agentic AI frameworks such as CrewAI, AutoGen, and orchestrate interactions across vector DBs, RAG pipelines & APIs. Should have experience in developing different ML models for Regression / Classification, Clustering, and Time Series forecasting models as well. Data Processing: Manage and preprocess large datasets for training AI/ML models, ensuring clean, efficient data pipelines for optimal performance. Model Evaluation: Evaluate and iterate on model performance, applying techniques to improve accuracy, robustness, and efficiency. Collaboration: Work closely with other developers, data scientists, and product managers to define AI requirements, integrate models into products, and ensure the AI system meets business needs .Optimization: Optimize model performance for production environments, focusing on scalability and computational efficiency. Thought leadership: Stay updated with the latest trends in generative AI, contributing innovative ideas and applying cutting-edge research to development effo rts. Required skills & experience: Experience: 5+ years of professional experience with a focus on machine learning, deep learning, and 2+ years in generative AI applications. Python Expertise: Advanced proficiency in Python, with solid experience using machine learning and deep learning libraries such as TensorFlow, PyTorch, Keras, and Scikit-learn, Pandas. Generative AI experience: Hands-on experience with tools/platforms like Open AI, LangChain, Hugging Face, Vertex AI, AWS Bedrock etc. and frameworks such as LangGraph, CrewAI, Autogen Data Handling: Experience working with large datasets, including preprocessing, cleaning, and augmenting data for AI model training. Model Deployment: Knowledge of deploying machine learning models into production environments, including familiarity with cloud services (AWS, GCP, Azure) and containerization tools (e.g., Docker). ML Algorithms & Statistics: Strong understanding of machine learning algorithms, statistics, and optimization techniques used in AI. Version Control: Proficiency in using version control systems such as Git for managing codebase and collaboration. Problem Solving: Strong analytical skills with the ability to tackle complex problems and devise efficient solutions in a fast-paced environment. Communication: Ability to clearly communicate technical concepts to both technical and non-technical stakeholders. Project experience in Python, PySpark ,SQL Familiarity with model interpretability and debugging tools. Familiarity with reinforcement learning and its applications to generative models. Experience working in Agile/Scrum environments. Experience with data visualisation tools, such as D3.js, GGplot, etc. Experience in other Visualization tools like Power BI, Tableau, Qlikview shall be added advantage. Show more Show less

12+ years of experience in software engineering, including 4+ years in architectural or technical leadership roles. Solid hands-on experience with event-driven architectures, containerization using Docker, ECS/EKS, API gateways, and identity/access management systems (RBAC, OAuth, etc.). Demonstrated expertise in designing cloud-native, microservices-based platforms, preferably on AWS. Exposure to AI agent frameworks like LangGraph, CrewAI, LlamaIndex, and familiarity with standards such as MCP and A2A. Strong background in developing scalable, modern web applications using React, Next.js, or Vue.js, with a focus on component-driven architecture and responsive user experiences. In-depth understanding of frontend-backend integration, REST/gRPC APIs, and state management in complex, multi-user SaaS environments. Show more Show less

Vinove Software & Services Ltd. (CMMi 3 & A Great Place To Work), We have urgent requirements for Multiple Skills - JS Developer (MEAN / MERN), Data Scientist (Gen Ai & Agentic Ai), .NET Developer, QA - Automation (Cypress, Playwright) and more and you can find the detailed job description and company information enclosed below for your reference. NOTE : #1. It will be WORK FROM OFFICE with EST TIME ZONE (4:00 PM (IST) to 1:00 AM (IST). #2. Transportation will be provided : DROP Only. #3. Need early joiners only (0 to 10 days notice) Vinove Software & Services (P) Ltd. 11th Floor, Max Square, Noida-Greater Noida Expressway, Sector 129, Noida, Uttar Pradesh 201304 Requirement #1. FullStack Developer (MEAN / MERN) with knowledge in VueJS Experience : 7 to 12 Years Number of vacancies : 05 Frontend: React/Angular/Vue, HTML5, CSS3, JavaScript/TypeScript Backend: Node.js, Java, Python, .NET Core basics Database: SQL + NoSQL (PostgreSQL, MongoDB, etc.) API development & integration (REST, GraphQL) Requirement #2. AI /ML & Agent Engineer (ML Engineers, Applied Scientists, and Prompt Engineers) Experience : 4 to 10 Years Number of vacancies : 03 LLM fine-tuning, prompt engineering, RAG (Retrieval-Augmented Generation) Multi-agent orchestration frameworks (LangChain, AutoGen, CrewAI, Haystack) Knowledge graph construction & reasoning Model evaluation (hallucination, alignment, safety) Requirement #3. .NET Developer - Backend / API Experience : 7 to 12 Years Number of vacancies : 05 .NET Core / .NET 6+ Web API development, Microservices Entity Framework, LINQ, SQL Server Authentication & Authorization (OAuth2, JWT, Azure AD) Requirement #3. DevOps Admin Experience : 7 to 12 Years Number of vacancies : 03 CI/CD pipeline (Jenkins, GitHub Actions, Azure DevOps) Containerization & Orchestration (Docker, Kubernetes, Helm) Cloud Infra (AWS/GCP/Azure) Monitoring & Logging (Prometheus, Grafana, ELK, CloudWatch) Requirement #4. DevOps Admin Experience : 7 to 12 Years Number of vacancies : 03 CI/CD pipeline (Jenkins, GitHub Actions, Azure DevOps) Containerization & Orchestration (Docker, Kubernetes, Helm) Cloud Infra (AWS/GCP/Azure) Monitoring & Logging (Prometheus, Grafana, ELK, CloudWatch) Requirement #5. QA - Automation Experience : 5 to 12 Years Number of vacancies : 04 Manual & automation test design Test management tools (Jira, TestRail) Coordination with dev + business teams Test automation frameworks (Selenium, Cypress, Playwright) API testing (Postman, RestAssured) Performance/load testing (JMeter, Locust) Regression & CI/CD test integration Interested candidate can apply with their recent PP size photograph & updated resume. Applying for requirement number: Candidate Name: Total Exp in : Current Organization: Current Location: Current CTC / In Hand: Expected CTC / In Hand: Notice Period to join: About the Company :- www.vinove.com Vinove Software & Services is an ISO 9001:2008 and NASSCOM Certified IT Co. with 20+ years of experience in the Web & mobile industry. Being a specialized firm for providing web services and solutions, we have mastered in dealing with both, National & International Clients. Vinove serves as an umbrella for its top notch ocular products and services because of its extensive background of using focused and proven strategies with technologies for all business requirements. Vinove is uniquely a strong combination of knowledge and experience. Its culture boasts of passionate, innovative and meticulous professionals. A Web and Mobile based IT Solution provider with offices in India, UK & USA. Our service portfolio includes fully customized web design and application development, Mobile Apps eBusiness Solutions. Please visit the following URLs to know about our business . http://www.vinove.com http://www.pixelcrayons.com http://www.valuecoders.com https://www.workstatus.io http://www.invoicera.com Achievements: CMMi : CMMI Level 3 Certified GPTW : Great Place To Work Winner : Deloitte Technology Fast 50 India Winner : Deloitte Technology Fast 500 Asia Pacific Winner : NASSCOM IT Emerge India 50 2011 Asia Red Hearing 100 Finalist eRetail Solution Provider India 2011 12 Magento Solution Silver Partner Proud DrupalCon Sponsors (Munich & Portland) Regards, Ajay Tandon Asst. Vice President Human Resources Vinove Software & Services (P) Ltd. | ValueCoders Services India Mob. +91.9953465075 | Skype - ajay.tandon@vinove.com Email. careers@vinove.com | ajay.tandon@vinove.com CMMi Level 3 || Great Place To Work || ISO 9001:2008 ** New York // London // Dubai // Gurgaon // Noida ** https://www.linkedin.com/in/ajay-tandon-%E2%99%9B-lion-%E2%99%9B-55b6859/

REQUIRED CRITERIA • Bachelors degree in Computer Science, Engineering, Data Science, or equivalent practical experience. • 6+ years in product management, including 2+ years delivering ML- or AI-powered features. • Working knowledge of the ML lifecycle, with a strong emphasis on LLMs , prompt-engineering, and generative model evaluation techniques. • Proven ability to lead and influence engineers, designers, researchers, and GTM stakeholders in a matrix environment. • Exceptional written and verbal communication skills, comfortable translating between business and technical audiences. PREFERRED EXPERIENCE • Hands-on exposure to Generative AI and large-language-model architectures (e.g., RAG, finetuning, RLHF). • Experience designing or managing agentic AI / agent-builder frameworks (e.g., LangChain, AutoGen, CrewAI) to orchestrate multi-step analytical workflows. • Familiarity with AI governance frameworks and mitigating risks such as hallucination and bias in generative models. • Experience with retailers, CPGs, or other data-rich verticals. • Expertise in Agile/Scrum, product discovery frameworks, and design-thinking methodologies. KEY RESPONSIBILITIES • Build and maintain the product vision, strategy, and multi-quarter roadmap for our Generative AI oBerings, aligning with company OKRs and financial targets. • Deeply understand user problems through interviews, data analysis, and market research; translate insights into epics, user stories, and acceptance criteria for building sophisticated AI agents. • Partner with data scientists and ML engineers to select or train the right foundation models, balancing performance, safety, latency, and cost. • Define success both for users (adoption, retention, task success rate) and for models (hallucination rate, bias, guard-rail triggers). • Design the full evaluation pipeline for generative modelsoBline benchmarks, synthetic-data tests, red teaming, human-in-the-loop reviews, and online A/B deployments—and iterate based on learnings. • Instrument dashboards that track product KPIs and model-centric metrics in real-time; monitor for performance degradation and coordinate fine-tuning or rollback as needed. • Prioritize and manage the product backlog, ensuring clear scope for each sprint and release while removing impediments that block delivery. • Champion data governance, privacy, IP protection, and responsible-AI standards throughout the development process. • Drive go-to-market readiness: craft compelling demo narratives, create enablement materials, support documentation, and partner with sales on key deals. • Foster a culture of design thinking, rapid experimentation, and continuous improvement within a cross-functional, globally distributed team.

AI Engineer About the Role Were looking for an AI Engineer who has both depth and breadth in the AI space. While youll bring strong hands-on expertise in GenAI, we dont believe every problem needs a GenAI hammer. You should have the judgment to choose the right approach, whether its NLP, computer vision, classical ML, or data pipelines, and the curiosity to keep learning as new technologies emerge. This role is about building practical, scalable AI solutions that solve real business problems. Youll work across the entire lifecycle, from data preparation to deployment, while staying close to the business context and ensuring the solutions we build are impactful, not just experimental. We also value people who are proactive, willing to take ownership, and ready to drive initiatives that go beyond day-to-day coding. What Youll Work On Designing, building, and integrating AI models with a focus on scalability, efficiency, and adaptability. Supporting MLOps practices to help models move from research to reliable production systems. Handling key parts of data preparation: cleaning, preprocessing, transformation, and validation. Writing maintainable, high-quality code with reusability in mind. Building APIs, pipelines, and prototypes that make AI solutions tangible and useful. Collaborating with AI engineers, developers, and product owners to turn ideas into working systems. Taking initiative in projects, contributing ideas, driving small experiments, and helping shape how we build solutions. Staying current with the fast-moving AI ecosystem, GenAI and beyond, and applying approaches that fit the problem. What We Value Solid foundation in AI/ML, with hands-on exposure to developing, integrating, and evaluating GenAI models. Familiarity with multiple AI domains such as NLP, computer vision, recommendation systems, classical ML. Experience with one or more ML/DL frameworks: PyTorch, TensorFlow, or SciKit-learn. Exposure to agentic AI systems (frameworks like LangChain, LlamaIndex, CrewAI, Agno) and evaluation of GenAI systems. Strong data handling skills (exploration, cleaning, preprocessing). Ability to prototype quickly and build simple APIs to demonstrate solutions. Problem-solving mindset and communication skills, you should be able to explain not just how something works but also why it matters. Preferred: Experience applying AI to real-world projects (academic, internship, or professional). Curiosity and adaptability to explore new tools, frameworks, and problem domains. Experience: 1-3 years Location: Vadodara, Gujarat No. of Openings- 01 Show more Show less

Lead GenAI architecture & full-stack development (LLMs, RAG, multi-agent systems, custom training, infra, DevOps) for AI-powered professional assistants. Ensure production-grade performance, scalability & automation. You’ll work closely with the CTO Required Candidate profile GenAI Engineer: Must have LLM fine-tuning (LoRA), RAG (LangChain, Pinecone), AWS (Bedrock, Lambda), Python/FastAPI, and observability (Langfuse) expertise.

Microsoft 365 Copilot harnesses the power of generative AI through foundational large language models to usher in a new era of AI-first productivity for hundreds of millions of enterprise users. As business workflows don't typically run exclusively on Microsoft 365 applications and data formats, Copilot is built as a platform right from the very beginning. Using extensibility, customers augment M365 Copilot with AI agents - which leverage custom skills, organizational-specific knowledge and natural language instructions to enable truly spectacular AI scenarios and power connected workflows. M365 Copilot Platform Ecosystem team is designing and building innovative AI agents on the M365 Copilot extensibility platform, including agent templates for makers as well as more bespoke solutions with leading customers. As a Product Manager II in the team, you will drive the next wave of agents built using the latest generative AI technology on M365 Copilot's extensibility platform. Working across our engineering teams and with our most strategic customers and partners, you will deliver high-quality, sticky and transformative Copilot agents for use by millions of end-users. This engineering PM role is an excellent opportunity to don both scenario and experience-focused product PM as well as an external-facing solutions PM (Ecosystem PM) hats - at the same time! We are looking for self-motivated, entrepreneurial, hands-on technical and outcome-drive Product Manager candidates who can operate in a fast-paced environment - predicated by rapid change and opportunities birthed out of ambiguity. You will frequently influence internal and customer stakeholders without authority, perform rapid exploration, bring your high sense of ownership and bias for execution to own and drive the vision, strategy and product roadmap for multiple customer and partner-built agents with a responsibility for partner and customer impact, developer experience, adoption growth strategy and business impact/ROI to support the next wave of growth for Copilot agents. You will have a direct role in pushing the latest AI frontiers, including autonomous agents, agentic AI systems, deep research and reasoning, multi-agent frameworks, complex data reasoning, model fine-tuning and agentic UX. The ideal candidate for this role is an experienced, hands-on builder who advocates for generative AI-led transformation. They should be an agent boss, meaning they regularly utilize generative AI and agents in their daily activities. The candidate should possess a learn-it-all mindset rather than a know-it-all attitude, and be comfortable navigating the uncertainties associated with transformative, time-sensitive, ROI-driven engagements with customers aiming to become Frontier Firms. This individual must adopt both business- and user-centric approaches to setting objectives, conducting executive-level discussions, aligning stakeholders, managing escalations, planning product roadmaps, and scheduling engagement timelines. They will lead the technical solution development, collaborating with internal M365 Copilot platform engineering teams as well as customers and developers working on our platform. Hands on experience with tools, frameworks and stacks such as Replit, Cursor, LangChain, n8n, LllamaIndex, AutoGen, CrewAI, OpenAI APIs, Auto-GPT, Hugging Face Transformers, GitHub Copilot, GitHub Spark, Bolt, Lovable, Claude etc. is a must. This must be demonstrated using real examples of rapid solution prototyping - since this will be a key part of day-to-day deliverables in the role. We operate in a fast-paced environment with rapid exploration, iteration, and execution, as we develop the M365 Copilot extensibility platform. Your peers will be among the top professionals & the role involves interacting with partners and customers, and occasional travel within and outside the base location is expected. 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: Cloud Data & AI Architect Company: CriticalRiver Location: Hyderabad, India (Preferred) | Remote (India) Industry: Information Technology & Services Experience: 15+ years of overall IT experience , including 8-10 years of deep expertise in Cloud Data Architecture, Artificial Intelligence, and advanced analytics , with hands-on leadership in designing and implementing end-to-end cloud-native AI solutions . The Role CriticalRiver is seeking an experienced and forward-thinking Cloud Data & AI Architect to lead the design and implementation of our scalable, end-to-end data ecosystem. You will be the mastermind behind our data infrastructure, responsible for architecting robust systems that support everything from advanced analytics to cutting-edge artificial intelligence applications. This is a critical role where you'll collaborate with data scientists, engineers, and business leaders to turn complex data challenges into powerful, actionable insights. If you are passionate about building modern data platforms and have deep expertise across the entire data lifecycle, we want to talk to you! What You'll Do Architect & Design: Design, build, and oversee our cloud-native data architecture, ensuring it is scalable, secure, and cost-effective. Platform Leadership: Lead the technical strategy and implementation on modern data platforms like Snowflake , Google BigQuery , Amazon Redshift , Azure Synapse , and Databricks . End-to-End Data Lifecycle Management: Engineer solutions for the complete data journey, including data ingestion, ETL/ELT processing, storage, transformation, governance, and consumption for analytics and AI/ML models. AI/ML Integration: Design infrastructure to support the deployment and scaling of machine learning models, working closely with our data science team to enable MLOps best practices. Stakeholder Collaboration: Act as the bridge between technical teams and business stakeholders, translating business requirements into technical solutions and data models. Innovation & Strategy: Stay ahead of industry trends, evaluate new technologies, and drive the continuous improvement of our data and AI capabilities. What You'll Bring Proven Experience: Demonstrated experience in a role like Data Architect, Solutions Architect, or Cloud Engineer, with a strong focus on data-intensive systems. Cloud Expertise: Deep, hands-on experience with at least one major cloud provider ( AWS, GCP, or Azure ). Modern Data Platform Mastery: Extensive, practical experience architecting and building solutions using platforms such as Snowflake , BigQuery , Redshift , Synapse , and/or Databricks . You should be able to articulate the trade-offs between them. Data Lifecycle Knowledge: Solid understanding of the entire data lifecycle, including data modeling, data warehousing, data lakes, and ETL/ELT development. Technical Skills: Proficiency with SQL and at least one programming language (e.g., Python ). Experience with infrastructure-as-code (e.g., Terraform) is a plus. Excellent Communicator: Ability to articulate complex technical concepts clearly to both technical and non-technical audiences. Preferred Qualifications International Client Experience: Proven experience working with international customers, especially in the US and European markets . IT Services Background: Previous experience at a Tier 1 or Tier 2 Indian IT services company is a strong plus. Certifications: Relevant cloud certifications ( AWS, GCP, Azure ) and data transformation certifications ( dbt , dataform) are highly preferred. AI Agent Systems: Experience with multi-agent AI systems and frameworks like CrewAI or Google AgentSpace is a significant advantage. Streaming & MLOps: Experience with data streaming technologies (e.g., Kafka, Kinesis) and MLOps frameworks (e.g., Kubeflow, MLflow). Why Join Us? Impactful Work: Your work will directly influence our products and business strategy. Competitive Compensation: We offer a competitive salary and benefits package. Flexibility: We support a healthy work-life balance with remote work options across India. Growth & Development: A dedicated budget for professional development, conferences, and certifications. Ready to build the future of data with us? Apply today!

Greetings From Scorelabs Inc ! Deploy models/APIs using Flask/Django on AWS, Azure, or GCP. Work with vector databases (FAISS, Pinecone, Weaviate) for similarity search. Implement AI workflows (LangChain, LangGraph, CrewAI, MCP) HR 9550760771 Required Candidate profile 2 - 4 years (1-2 years In Data Science) Experience with LangChain, LangGraph, CrewAI, MCP servers, Hugging Face Transformers, Retrieval-Augmented Generation (RAG) Or (Zapier, Make.com, n8n) & AI

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