294 Agentic Ai Jobs - Page 6

Responsibilities: H1B Filling for(Year 2026) Software developer , AI ML & GCP Engineers with 10 years plus experience Candidates need to take hacker rank and problem solving skills test Interested Candidates can share resume info@ahcommere.com Health insurance Annual bonus

Our team is a part of Oracle CSS who solutions, designs and develops AI applications for Managed Customer requirements. You'll join a team of talented, driven, and diverse individuals, each bringing unique perspectives and expertise. Our team develops cutting-edge applications across both AI and non-AI domains. Your expertise will be pivotal in building end to end software solutions flows that include Architecture design, database design, conversational AI solutions, Agentic flows using LLM and other cutting-edge Machine learning techniques. In this role, you will design, develop, and build scalable services using agile methods leveraging the latest and greatest advancements in software development and AI to solve complex business problems intelligently. Responsibilities Translate business needs into advanced machine learning AI services and provide strong algorithm and coding execution and delivery of Machine Learning & Artificial Intelligence. Build high-quality, scalable, and efficient software solutions that brings GenAI capabilities, leveraging latest advancements such as Agentic LLM and RAG frameworks, etc. Leverage Agentic AI (Autogen, Langchain, etc.) and in-house ML tools & OCI platform to develop reusable, highly performant machine learning systems. Lead architectural discussions and provide technical guidance to ensure the adoption of best practices and alignment with the overall technology roadmap. Work closely with product owners/managers to understand requirements, translate them into technical specifications, and deliver features in a timely manner. Participate in code reviews, providing constructive feedback and ensuring code quality and adherence to coding standards. Work with peers to propose and review design, solutions and implementation with an emphasis on metric driven results. Preferred Skills and Experience Experience with AI/ML frameworks and libraries is a significant asset. Experience working in Generative AI, Customizing LLM's, is an added advantage. Experience in Agentic AI. Autogen, LangGraph, etc. Experience in OJET. Experience with build automation, continuous integration, or continuous deployment tools such as Git, Jenkins, Ansible, etc. Experience in developing and designing solutions with containerization technologies such as Docker and Kubernetes. Experience with cloud observability tools and practices. Minimum Qualifications 8+ years of full-stack software development experience. 1+ year of experience with software design and architecture. Bachelor's or master's in computer science, Engineering, or a related field. Experience in Python and Fast API. REST API - Client and API service development. Experience in cloud technologies - OCI, GCP, AWS etc. OCI is preferred. Good grasp of cloud development concepts like micro-services, BFF, distributed storage. Experience with JavaScript UI development with frameworks like React. Proficient in working with both SQL (e.g.: Oracle, PostgreSQL) and NoSQL databases (e.g., MongoDB, Redis) Experience driving architecture / design reviews, documentation. Experience in complete life cycle of software development including development, testing, installation, configuration, and deployment. Possess excellent verbal and written skills. Career Level - IC4

As a Python Developer, you will collaborate closely with the engineering team to design, develop, and deploy software solutions, primarily focusing on Agentic AI applications. Your role involves contributing to the creation of intelligent systems that operate autonomously and make data-driven decisions. This hands-on position requires a combination of technical skills and a passion for building innovative AI-driven products. Your key responsibilities will include developing and maintaining Python-based applications that emphasize Agentic AI models and solutions. You will work alongside data scientists and machine learning engineers to integrate AI models into production systems. Additionally, you will design, implement, and test software that interacts with large datasets, applying Agentic AI techniques to enhance decision-making processes. Your role will also involve optimizing and scaling AI systems to ensure high performance and reliability, as well as integrating AI solutions with various platforms and tools for end-to-end product deployment. Participation in code reviews, debugging, and troubleshooting will be essential to maintain a high standard of code quality. It is crucial to stay updated with the latest advancements in Agentic AI, machine learning, and Python technologies to continually enhance development processes. The required skills and qualifications for this role include a minimum of 2 years of professional experience in Python development. Hands-on experience with Agentic AI, such as reinforcement learning, decision-making algorithms, and autonomous systems, is essential. A strong understanding of AI models and their real-world applications is necessary, along with familiarity with Python libraries like TensorFlow, PyTorch, scikit-learn, and NumPy. Proficiency in working with APIs, databases, and version control systems like Git is also required. Strong problem-solving abilities and a drive to create scalable and efficient systems are key qualities for this position. Effective communication skills are essential to collaborate successfully with cross-functional teams. Preferred qualifications for this role include experience with cloud platforms such as AWS, Google Cloud, or Azure for deploying Python-based applications. Knowledge of agent-based modeling and multi-agent systems, as well as familiarity with Docker, Kubernetes, or other containerization technologies, would be advantageous.,

AVIZVA is a Healthcare Technology Organization dedicated to simplifying, accelerating, and optimizing the way healthcare enterprises deliver care. Since its establishment in 2011, AVIZVA has been a key strategic enabler for healthcare enterprises, enhancing their overall care delivery through tailored products and services. With over 13 years of expertise, AVIZVA has successfully engineered more than 150 products for leading Medical Health Plans, Dental and Vision Plan Providers, PBMs, Medicare Plan Providers, TPAs, and other healthcare entities. As an Associate Manager - Applied Machine Learning at AVIZVA, you will play a crucial role in architecting, designing, and developing advanced GenAI products and services. This position requires a strong technical background in machine learning coupled with leadership skills to drive the team towards success. Your responsibilities will include contributing to the development of Large Language Model (LLM) based products, integrating GenAI and traditional machine learning approaches to meet key product requirements. Collaboration with cross-functional teams, such as product managers and business leaders, will be essential to deliver scalable machine-learning solutions that align with business needs. Your role will involve setting clear goals and priorities for the team, overseeing the lifecycle of GenAI projects, addressing technical and operational challenges, and ensuring seamless deployment of models into production environments. Embracing a culture of continuous improvement, you will lead the team in delivering high-quality results while maintaining a collaborative work environment. To excel in this role, you should hold a Bachelor's or Master's degree in Computer Science or a related analytical field. A minimum of one year of experience in Gen AI, Agentic AI, and Large Language Models (LLMs) is required, along with hands-on experience in building RAG (Retrieval Augmented Generation) pipelines. Proficiency in NLP, NLG, Text Analytics, and working with Transformer-based models like BERT is essential. Additionally, you should have over 10 years of experience as an Applied Machine Learning Engineer or Data Scientist, with expertise in Python, system design, and architecture. Your technical skills should encompass a strong command of Core Python, advanced Python libraries like PyTorch and FAST API, as well as experience with classification and clustering algorithms, ensemble models, and object-oriented programming. Familiarity with ORM tools, debugging, testing frameworks, front-end fundamentals, and Agile methodology will be beneficial for the role. Excellent communication and problem-solving skills are also key attributes for success in this position.,

Were Hiring: Lead - AI/ML Engineering at Coschool Location: Nanakramguda, Hyderabad Employment Type: Full-Time Experience: 7+ Year s Join Coschool to revolutionize learning with A I. At Coschool, were building a next-gen EdTech platform thats reshaping how students learn. Our AI-first platform is designed to empower educators and support students in achieving their best. We’re now looking for a Manager – AI/ML Engineering to lead and scale our AI initiatives and shape the future of intelligent learning syste ms. What You’ll Do (Key Responsibilities): Lead and mentor a high-performing team of AI/ML engineers. Research, prototype, and develop robust ML models, including deep learning and GenAI solutions. Oversee the full AI/ML project lifecycle — from data preprocessing to deployment and monitoring. Guide the team in training, fine-tuning, and deploying LLMs using methods like distillation, supervised fine-tuning, and RLHF. Collaborate with product managers, engineers, and leadership to translate business problems into ML solutions. Ensure the scalability, reliability, and security of AI systems in production. Define and enforce best practices in MLOps, model management, and experimentation. Stay on the cutting edge of AI by exploring and applying emerging trends and technologies. You’re a Great Fit If You Have: 4 to 8 years of experience in building AI/ML solutions, with at least 1 years in a leadership or managerial role. Strong foundation in machine learning, deep learning, and computer science fundamentals. Hands-on experience deploying AI models in production using frameworks like PyTorch, TensorFlow, and Scikit-learn. Proficiency with cloud ML platforms (AWS SageMaker, Google AI, Azure ML). Solid understanding of MLOps tools and practices for model lifecycle management. Experience with LLM fine-tuning and training methodologies. Excellent problem-solving, communication, and people management skills. A proactive mindset and passion for innovation and mentorship. Preferred Skills: Experience working with generative AI frame works. A portfolio or track record of creative AI/ML applications. Familiarity with tools for LLM orchestration and retrieval-augmented generation (RAG). Why Coschool? Real Impact: Build solutions that directly affect the lives of millions of students. Autonomy: Enjoy the freedom to innovate and execute with a clear mission in mind. Growth: Work in a fast-paced, learning-focused environment with top talent. Vision: Be part of a purpose-driven company that combines decades of educational excellence with cutting-edge AI.

Were Hiring: Manager AI/ML Engineering at Coschool Location: Nanakramguda, Hyderabad Employment Type: Full-Time Experience: 7+ Year s Join Coschool to revolutionize learning with A I. At Coschool, we’re building a next-gen EdTech platform that’s reshaping how students learn. Our AI-first platform is designed to empower educators and support students in achieving their best. We’re now looking for a Manager – AI/ML Engineering to lead and scale our AI initiatives and shape the future of intelligent learning syste ms. What You’ll Do (Key Responsibilities): Lead and mentor a high-performing team of AI/ML engineers. Research, prototype, and develop robust ML models, including deep learning and GenAI solutions. Oversee the full AI/ML project lifecycle — from data preprocessing to deployment and monitoring. Guide the team in training, fine-tuning, and deploying LLMs using methods like distillation, supervised fine-tuning, and RLHF. Collaborate with product managers, engineers, and leadership to translate business problems into ML solutions. Ensure the scalability, reliability, and security of AI systems in production. Define and enforce best practices in MLOps, model management, and experimentation. Stay on the cutting edge of AI by exploring and applying emerging trends and technologies. You’re a Great Fit If You Have: 7 to 12 years of experience in building AI/ML solutions, with at least 2 years in a leadership or managerial role. Strong foundation in machine learning, deep learning, and computer science fundamentals. Hands-on experience deploying AI models in production using frameworks like PyTorch, TensorFlow, and Scikit-learn. Proficiency with cloud ML platforms (AWS SageMaker, Google AI, Azure ML). Solid understanding of MLOps tools and practices for model lifecycle management. Experience with LLM fine-tuning and training methodologies. Excellent problem-solving, communication, and people management skills. A proactive mindset and passion for innovation and mentorship. Preferred Skills: Experience working with generative AI frame works. A portfolio or track record of creative AI/ML applications. Familiarity with tools for LLM orchestration and retrieval-augmented generation (RAG). Why Coschool? Real Impact: Build solutions that directly affect the lives of millions of students. Autonomy: Enjoy the freedom to innovate and execute with a clear mission in mind. Growth: Work in a fast-paced, learning-focused environment with top talent. Vision: Be part of a purpose-driven company that combines decades of educational excellence with cutting-edge AI.

Role & responsibilities Develop and fine-tune LLMs using techniques like RAG, transfer learning, or domain-specific adaptation Build AI agents using frameworks like LangChain or CrewAI to manage dynamic and multi-step workflows Work with vector databases (e.g., Pinecone) to enable semantic search and retrieval Design and maintain ETL pipelines and ensure smooth data preprocessing and transformation Implement NLP solutions for tasks like intent detection, sentiment analysis, and content generation Develop backend APIs and services using Python frameworks like FastAPI or Flask Contribute to scalable microservice-based architectures Requirements Bachelor's degree in Computer Science, Information Technology, or a related field. 2 to 6 years in AI/ML development and backend system Machine Learning Fundamentals: Strong grasp of algorithms, model training, evaluation, and tuning Generative AI Models: Experience working with LLMs, RAG architecture, and fine-tuning techniques LangChain or Similar Frameworks: Hands-on experience building AI workflows using toolkits like LangChain Natural Language Processing (NLP): Proficiency in text analytics, classification, tokenization, embeddings Vector Databases: Practical use of tools like Pinecone, FAISS, or similar for retrieval-augmented generation Big Data Handling: Ability to work with large datasets, optimize storage, and processing pipelines SQL/NoSQL: Experience in querying and managing structured and unstructured data Python & API Development: Proficiency in Python and frameworks like FastAPI or Flask ETL & Data Preprocessing: Strong understanding of building pipelines for clean and efficient data processing Soft Skills: Strong problem-solving, communication, and collaboration abilities Note: We are seeking for experience in Agentic AI.

We are hiring an AI/ML Lead with hands-on experience in LLMs, RAG pipelines, prompt engineering, model fine-tuning/quantization, and Agentic AI. Youll work on building production-grade AI systems, lead technical strategy, and collaborate with cross-functional teams to deliver intelligent solutions. Key Skills: LLM evaluation & deployment (GPT, LLaMA, Mistral, etc.) RAG pipeline design (LangChain, vector DBs) Prompt engineering & chaining Fine-tuning, LoRA, quantization (INT4/INT8) Agentic AI system development Python, Hugging Face, PyTorch intha jd

Role : Senior Agentic AI Developer Location: Bangalore/Hyderabad Roles & Responsibilities: We are seeking a skilled Agentic AI Developer to design and implement intelligent agent systems powered by Large Language Models (LLMs) . This role involves developing LLM-based pipelines that can ingest transcripts, documents, or business narratives and generate structured artifacts such as workflows, decision trees, action plans, or contextual recommendations. You will collaborate with cross-functional teams to deploy autonomous AI agents capable of reasoning, planning, memory, and tool usage in enterprise environments primarily within the Microsoft ecosystem (Azure, Power Platform, Copilot, and M365 integrations). Key Responsibilities Build and deploy autonomous agent systems using frameworks such as LangChain, AutoGen, CrewAI, or Semantic Kernel. Develop pipelines to process natural language input and generate structured outputs tailored to business needs. Implement agentic features such as task orchestration, memory storage, tool integration , and feedback loops. Fine-tune LLMs or apply prompt engineering to optimize accuracy, explainability, and responsiveness. Integrate agents with Microsoft 365 services (Teams, Outlook, SharePoint) and Power Platform components (Dataverse, Power Automate). Collaborate with business and product teams to define use cases, test scenarios, and performance benchmarks. Participate in scenario-based UAT testing, risk evaluation, and continuous optimization. Must-Have Skills Proficiency in Python and hands-on experience with ML/AI libraries and frameworks (Transformers, PyTorch, LangChain). Strong understanding of LLMs (e.g., GPT, Claude, LLaMA, Mistral) and prompt engineering principles. Experience developing agent workflows using ReAct, AutoGen, CrewAI, or OpenAI function calling . Familiarity with Vector Databases (FAISS, Pinecone, Qdrant) and RAG-based architectures . Skills in Natural Language Processing (NLP) : summarization, entity recognition, intent classification. Integration experience with APIs, SDKs , and enterprise tools (preferably Microsoft stack).

Role & responsibilities Develop and fine-tune LLMs using techniques like RAG, transfer learning, or domain-specific adaptation Build AI agents using frameworks like LangChain or CrewAI to manage dynamic and multi-step workflows Work with vector databases (e.g., Pinecone) to enable semantic search and retrieval Design and maintain ETL pipelines and ensure smooth data preprocessing and transformation Implement NLP solutions for tasks like intent detection, sentiment analysis, and content generation Develop backend APIs and services using Python frameworks like FastAPI or Flask Contribute to scalable microservice-based architectures Requirements Bachelor's degree in Computer Science, Information Technology, or a related field. 2 to 4 years in AI/ML development and backend system Machine Learning Fundamentals: Strong grasp of algorithms, model training, evaluation, and tuning Generative AI Models: Experience working with LLMs, RAG architecture, and fine-tuning techniques LangChain or Similar Frameworks: Hands-on experience building AI workflows using toolkits like LangChain Natural Language Processing (NLP): Proficiency in text analytics, classification, tokenization, embeddings Vector Databases: Practical use of tools like Pinecone, FAISS, or similar for retrieval-augmented generation Big Data Handling: Ability to work with large datasets, optimize storage, and processing pipelines SQL/NoSQL: Experience in querying and managing structured and unstructured data Python & API Development: Proficiency in Python and frameworks like FastAPI or Flask ETL & Data Preprocessing: Strong understanding of building pipelines for clean and efficient data processing Soft Skills: Strong problem-solving, communication, and collaboration abilities

Sr. AI/ML Engineer Years of experience: Lead Material - 5-10 years (with minimum 5 years of relevant experience) Key Skills: Python, Tensorflow, Generative AI ,Machine Learning, AWS , Agentic AI, Open AI, Claude, Fast API Job description: Lead the development and implementation of GenAI solutions leveraging LLMs (e.g., GPT, Claude, LLaMA) and multimodal models. Identify and prioritize use cases across functions such as drug discovery, clinical trial design, medical writing, patient engagement, and knowledge management. Guide the evaluation and fine-tuning of foundation models using Takedas proprietary and third-party data, ensuring compliance with GxP, HIPAA, and AI governance. Architect scalable GenAI pipelines using cloud-native tools and frameworks (e.g., Azure OpenAI, AWS Bedrock, LangChain, Hugging Face, NVIDIA NeMo). Collaborate with data scientists, engineers, compliance, legal, and business leaders to define AI standards, ethics, and responsible AI principles. Lead a cross-functional GenAI team, driving innovation while ensuring security, transparency, and performance of deployed models. Stay current on GenAI trends, open-source ecosystems, and regulatory impacts (e.g., EU AI Act, FDA guidelines). Location: World Trade Center 1st floor of Tower B, 5/142, Rajiv Gandhi Salai, Perungudi, Chennai- 600096 Walkin Date: 26th July 2025 Time: 11:00 am to 3:00pm Contact Recruiter: Anishma Alexen

ML Scientist Experience: 2 - 6 Years Exp Salary : Competitive Preferred Notice Period : Within 15 Days Opportunity Type: Onsite (Bengaluru) Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : Multimodal llms , vision-language models , Agentic AI Infibeam (One of Uplers' Clients) is Looking for: ML Scientist who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. Role Overview Description We're hiring ML Scientists at Phronetic AI (a division of Infibeam Avenues Limited) to shape the future of multimodal reasoning and agentic AI with a strong focus on building compact, efficient models that can run on edge or on-prem environments. We're looking for 23 exceptional candidates across experience levels: 25 years: You have experience taking ideas from concept to working prototypes or products in multimodal or LLM-driven systems. You're comfortable experimenting with training strategies, model architectures, and evaluation pipelines to push model reasoning capabilities forward. 5+ years: You bring deep technical expertise and are excited to mentor junior team members, guide architectural decisions, and help shape the direction of our multimodal model research and deployment efforts. What we’re building: Models that understand and reason across text, images, video, and structured documents. Systems that go beyond perception — toward agentic, grounded, real-world intelligence Smaller, instruction-tuned models for efficient edge/on-prem inference A team culture focused on technical depth, fast iteration, and open research Let’s build intelligent, efficient, and grounded systems — together. How to apply for this opportunity: Easy 3-Step Process: 1. Click On Apply! And Register or log in on our portal 2. Upload updated Resume & Complete the Screening Form 3. Increase your chances to get shortlisted & meet the client for the Interview! About Our Client: Infibeam Avenues Limited (IAL) is a leading digital payments and e-commerce technology platforms company in India and provides a comprehensive suite of web services spanning digital payment solutions, data centre infrastructure and software platforms. We provide solutions to merchants, enterprises, corporations and governments in both domestic as well as international markets to enable online commerce. Our digital technology facilitates businesses and governments to execute e-commerce transactions in a safe and secure manner. About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

ML Scientist Experience: 2 - 6 Years Exp Salary : Competitive Preferred Notice Period : Within 15 Days Opportunity Type: Onsite (Bengaluru) Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : Multimodal llms , vision-language models , Agentic AI Infibeam (One of Uplers' Clients) is Looking for: ML Scientist who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. Role Overview Description We're hiring ML Scientists at Phronetic AI (a division of Infibeam Avenues Limited) to shape the future of multimodal reasoning and agentic AI with a strong focus on building compact, efficient models that can run on edge or on-prem environments. We're looking for 23 exceptional candidates across experience levels: 25 years: You have experience taking ideas from concept to working prototypes or products in multimodal or LLM-driven systems. You're comfortable experimenting with training strategies, model architectures, and evaluation pipelines to push model reasoning capabilities forward. 5+ years: You bring deep technical expertise and are excited to mentor junior team members, guide architectural decisions, and help shape the direction of our multimodal model research and deployment efforts. What we’re building: Models that understand and reason across text, images, video, and structured documents. Systems that go beyond perception — toward agentic, grounded, real-world intelligence Smaller, instruction-tuned models for efficient edge/on-prem inference A team culture focused on technical depth, fast iteration, and open research Let’s build intelligent, efficient, and grounded systems — together. How to apply for this opportunity: Easy 3-Step Process: 1. Click On Apply! And Register or log in on our portal 2. Upload updated Resume & Complete the Screening Form 3. Increase your chances to get shortlisted & meet the client for the Interview! About Our Client: Infibeam Avenues Limited (IAL) is a leading digital payments and e-commerce technology platforms company in India and provides a comprehensive suite of web services spanning digital payment solutions, data centre infrastructure and software platforms. We provide solutions to merchants, enterprises, corporations and governments in both domestic as well as international markets to enable online commerce. Our digital technology facilitates businesses and governments to execute e-commerce transactions in a safe and secure manner. About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

AI/ML Engineer Years of experience: 3-10 years (with minimum 3 years of relevant experience) Key Skills: Python, Tensorflow, Generative AI ,Machine Learning, AWS , Agentic AI, Open AI, Claude, Fast API Location: Chennai Walkin Date: 26th July 2025 Time: 11:00 am to 3:00pm

Experience - 5+ years Agentforce, Agentic AI and general AI Experience working directly with customers or in presales assignments Customer orientation and solution-oriented work Systematic, networked thinking and independent working style Required Candidate profile Agentforce Associate & Specialist certifications Data Cloud experience / certification Experience in the manufacturing domain Previous work on Salesforce-based products

We are seeking a passionate and skilled Generative AI Engineer to join our AI/ML team. You will be responsible for designing, developing, and deploying cutting-edge GenAI solutions using large language models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI frameworks. This role is ideal for someone who thrives in a fast-paced environment and is excited about building intelligent systems that push the boundaries of AI. Key Responsiblity: Design and implement GenAI solutions leveraging LLMs, RAG pipelines, and Agentic AI architectures. Develop and fine-tune deep learning models for NLP tasks using frameworks like PyTorch or TensorFlow. Build scalable APIs using FastAPI to serve AI models and integrate with enterprise systems. Collaborate with data scientists and ML engineers to deploy models using CI/CD pipelines on Azure. Optimize model performance and ensure robustness in production environments. Stay updated with the latest research and advancements in generative AI and deep learning. Skill: Strong programming skills in Python with experience in building ML/NLP applications. Hands-on experience with Deep Learning , Machine Learning , and Natural Language Processing . Proficiency in working with LLMs (e.g., GPT, LLaMA, Mistral) and RAG architectures. Experience with Agentic AI frameworks and autonomous agent design. Familiarity with FastAPI for building RESTful APIs. Experience with CI/CD pipelines and deploying solutions on Azure Cloud . Solid understanding of data structures, algorithms, and software engineering principles. Bachelors or Master’s degree in Computer Science, AI, Data Science, or related field. If you are interested, please share your resumes to jyothiveerabh.akula@hcltech.com

Job title: Full-Stack Software Engineer / AI Automation Engineer What Youll Do Build and ship production-grade features on a daily basis Contribute across the stack: Python, TypeScript, GCP, PostgreSQL, Next.js, Node.js Collaborate on AI automation using prompt engineering, chain prompting, and agentic AI techniques Use tools like Playwright or similar for browser and system automation What Were Looking For Strong ability to move fast and ship independently Proficiency in full-stack development (Python + TypeScript) Experience with AI workflows and automation tooling Bonus: Familiarity with QuickBooks/accounting Bonus: Strong design sensibility

Job description AlgoAnalytics is looking for a Data Scientist who has the passion for AI/ML solution development and cutting-edge work in Gen AI. Minimum 3 years of experience in AI/MI including Deep Learning, and exposure to Gen AI/LLM is required along with tools/techs/libraries like Agentic AI, Dify/Autogen, Langraphetc. Detailed understanding of Cloud technologies and Deployment with good hands-on experience is an added advantage. Key Responsibilities: AI/ML & Gen AI Development: Develop Gen AI/LLM models using OpenAI, Llama, or other open-source/offline models. Utilize Agentic AI frameworks and tools like Dify, Autogen, Langraph to build intelligent systems. Perform prompt engineering, fine-tuning, and dataset-specific model optimization. Implement cutting-edge research from AI/ML and Gen AI domains. Work on cloud-based deployments of AI/ML models for scalability and production readiness. Leadership & Mentoring: Troubleshoot AI/ML, Gen AI, and cloud deployment challenges. Mentor junior team members and contribute to their skill development. Identify team members for mentoring, hiring, and technical initiatives. Ensure smooth project execution, deadline management, and client interactions. Research & Innovation: Explore and implement recent AI/ML research in practical applications. Contribute to research publications, internal knowledge-sharing, and AI innovation. Qualifications: 2-3 years of hands-on experience in Machine Learning, Deep Learning, and Gen AI/LLMs. Bachelors/Masters degree in Computer Science, Engineering, Mathematics, or Statistics (with strong programming knowledge). Skills: Programming: Strong expertise in Python and relevant ML/AI libraries. AI/ML & Gen AI: Deep understanding of Machine Learning, Deep Learning, and Generative AI/LLMs. Agentic AI & Automation: Experience with Dify, Autogen, Langraph, and similar tools. Cloud & Deployment: Knowledge of cloud platforms (AWS, GCP, Azure) and MLOps deployment pipelines. Communication & Leadership: Strong ability to manage teams, meet project deadlines, and collaborate with clients. Note - We would prefer Pune based candidates. Candidates joining immediately will be prefered.

Work Location- Remote Exp-7+ Years Relevant Notice Period- Immediate Lead Data Scientist Relevant Experience: 7+ Years Job Overview: We are seeking a highly skilled and experienced Senior Data Scientist with expertise in Machine Learning (ML), Natural Language Processing (NLP), Generative AI (GenAI), and Deep Learning (DL). Mandatory Skills * 5+ years of work experience in writing code in Python * Experience in using various Python libraries like Pandas, NumPy * Experience in writing good quality code in Python and code refactoring techniques (e.g., IDEs PyCharm, Visual Studio Code; Libraries Pylint, pycodestyle, pydocstyle, Black) * Strong experience on AI assisted coding experience. * AI assisted coding for existing IDE's like vscode. * Experimented multiple AI assisted tools and done research around it. * Deep understanding of data structures, algorithms, and excellent problem-solving skills * Experience in Python, Exploratory Data Analysis (EDA), Feature Engineering, Data Visualisation • Machine Learning libraries like Scikit-learn, XGBoost • Experience in CV, NLP or Time Series. * Experience in building models for ML tasks (Regression, Classification) * Should have Experience into LLM, LLM Fine Tuning, Chatbot, RAG Pipeline Chatbot, LLM Solution, Multi Modal LLM Solution, GPT, Prompt, Prompt Engineering, Tokens, Context Window, Attention Mecanism, Embeddings * Experience of model training and serving on any of the cloud environments (AWS, GCP, Azure) * Experience in distributed training of models on Nvidia GPU’s * Familiarity in Dockerizing the model and create model end points (Rest or gRPC) * Strong working knowledge of source code control tools such as Git, Bitbucket * Prior experience of designing, developing and maintaining Machine Learning solution through its Life Cycle is highly advantageous * Strong drive to learn and master new technologies and techniques * Strong communication and collaboration skills * Good attitude and self-motivated Mandatory Skills- Strong Python coding, Machine Learning, Software Engineering, Deep Learning, Generative AI, LLM, AI Assisted coding tools. Agentic Solutions/Framework Domain-Driven Design (DDD) Testing (Test driven development) Understanding of Hexagonal Architecture and Infrastructure as Code (Terraform)Role & responsibilities Preferred candidate profile

Role :F&A - Digital Transformation /R2R/ PTP / O2C Exp - Min 15+yrs Must have - Gen AI , Agentic AI , F&A Technology , ML , Digital Transformation Loc - Bangalore Immediate Joiners would be preferred Regards, Allen 7200495207

Data Scientist Gen AI & Agentic AI Experience: 2+ Years Location: Jaipur (WFO) Employment Type: Full-time About the Role: We are looking for a highly motivated Data Scientist with experience in Generative AI , Agentic AI , and a strong consulting mindset. This is a client-facing role that blends deep technical expertise with the ability to understand and solve business problems through cutting-edge AI technologies. Youll be part of a forward-thinking team working on impactful projects in AI transformation across industries. Key Responsibilities: Design, develop, and deploy AI/ML solutions with a focus on Generative AI (e.g., LLMs, prompt engineering) and Agentic AI frameworks . Collaborate with clients and internal stakeholders to understand business needs and translate them into AI solutions. Prototype and implement intelligent agent-based systems for automation, decision-making, and conversational interfaces. Build proof-of-concepts (POCs), MVPs, and production-ready solutions in real-world business environments. Work on data preparation, model fine-tuning, and evaluation of large language models (LLMs). Present insights, solutions, and progress to clients in a clear and consultative manner. Stay current with AI trends and contribute to internal knowledge-sharing and innovation. Required Qualifications: 2+ years of experience in Data Science, with hands-on exposure to Generative AI and LLMs (e.g., OpenAI, Cohere, Hugging Face). Experience with Agentic AI concepts or frameworks like LangChain, AutoGen, CrewAI, or similar. Strong Python programming skills and familiarity with ML/DL frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Consulting or client-facing experience with the ability to translate business needs into technical requirements. Good understanding of NLP, prompt engineering, and conversational AI workflows. Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, or related fields. Preferred Qualifications: Experience in building AI solutions for enterprise clients. Familiarity with MLOps and deploying models to production. Prior experience with cloud platforms (AWS, Azure, or GCP). Knowledge of vector databases (e.g., FAISS, Pinecone) and retrieval-augmented generation (RAG) techniques. What We Offer: Exciting projects at the intersection of AI, automation, and enterprise transformation. A collaborative and fast-paced environment focused on innovation. Opportunities for continuous learning and professional growth. Flexible working model with Jaipur as the base location. If this sounds like you, we'd love to connect! Apply now to chaity.mukherjee@celebaltech.com to be part of our innovative team.

ML Scientist Experience: 2 - 6 Years Exp Salary : Competitive Preferred Notice Period : Within 15 Days Opportunity Type: Office (Bengaluru) Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills: Multimodal LLMs, Vision-Language Models, Agentic AI Infibeam (One of Uplers' Clients) is Looking for: ML Scientist who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. Job Description 2-5 years: You have experience taking ideas from concept to working prototypes or products in multimodal or LLM-driven systems. You're comfortable experimenting with training strategies, model architectures, and evaluation pipelines to push model reasoning capabilities forward. 5+ years: You bring deep technical expertise and are excited to mentor junior team members, guide architectural decisions, and help shape the direction of our multimodal model research and deployment efforts. What were building: Models that understand and reason across text, images, video, and structured documents. Systems that go beyond perception toward agentic, grounded, real-world intelligence Smaller, instruction-tuned models for efficient edge/on-prem inference A team culture focused on technical depth, fast iteration, and open research How to apply for this opportunity: Easy 3-Step Process: 1. Click On Apply! And Register or log in on our portal 2. Upload updated Resume & Complete the Screening Form 3. Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Job title: AI Expert Total experience: 5+ years Location: Pune and Nashik Job description: • In-depth experience with the Eliza framework and its agent coordination capabilities • In-depth experience with the Agentic AI • Practical implementation experience with vector databases (Pinecone, Weaviate, Milvus, or Chroma) • Hands-on experience with embedding models (e.g., OpenAI, Cohere, or open-source alternatives) • Deep knowledge of LangChain/LlamaIndex for agent memory and tool integration • Experience designing and implementing knowledge graphs at scale • Strong background in semantic search optimization and efficient RAG architectures • Experience with Model Control Plane (MCP) for both LLM orchestration and enterprise system integration • Advanced Python development with expertise in async patterns and API design

Urgently hiring for Data Scientist for our esteemed IT client Job Description • 10+ years of experience and Data science experience right through the career • Atleast 2 prod deployments of GenAI Solutions and exposure to Agentic AI framework Robotics (Multiagent Systems, Automated Planning & Scheduling, Intelligence & Orchestration) AI & ML (Supervised & Unsupervised Learning, Neural Networks, LLMs), Full-stack Software Engineering, System Design Applying emerging tech for business problems Python, FastAPI, Ollama, RDMS (PostgreSQL), Message Brokers, UI Frameworks (Angular, Streamlit), Robot Operating System (ROS), Python frameworks for AI/ML(Scikit learn, Pytorch etc), AWS, Azure, Git Expert in machine learning, GenAI, LLMs, SLMS, Agents with a strong focus on computer vision, deep learning, and statistical modeling, having led numerous innovative projects in video analytics, face recognition, and retail analytics, OpenCV, Point Cloud Libraries. Robot Kinematics, Navigation, Planning, Multi-Agent Orchestration, AI Neural networks, AI – LLMs, Software Engineering, Software Architecture, OOP, Git Ecosystem, Python, AWS Tools Techno-functional product/project management including making key research and business decisions Adept at understand research publications and keeping abreast with latest technology Computer Vision, AI, ML/DL, Generative AI and Large language models, Agentic AI

Job Description: We are looking for an experienced Automation Development Engineer to join a high-impact team working on next-gen automation and AI solutions. Key Responsibilities: Develop automation workflows, approval engines, dashboards, and notification systems using Python Work on version control of IPs and system design Integrate AI APIs, use RAG techniques, and build agentic AI-based systems Collaborate across teams and contribute to scalable solutions Desired Candidate Profile: BE/B.Tech or higher in Computer Science / Electronics / related fields 5+ years of experience in software development Strong Python programming and system design skills Experience with Protobuf, Blaze, PLX, Spanner, APIs, JavaScript Exposure to AI tools and cloud platforms (Google Cloud preferred) Familiarity with Git or other SCM tools