679 Langchain Jobs - Page 12

At PwC, the focus is on leveraging data to drive insights and make informed business decisions in the field of data and analytics. The team utilizes advanced analytics techniques to help clients optimize their operations and achieve strategic goals. As a Data Analyst at PwC, your role will involve utilizing advanced analytical techniques to extract insights from large datasets and facilitate data-driven decision-making. Your responsibilities will include data manipulation, visualization, and statistical modeling to support clients in solving complex business problems. With a minimum of 12 years of hands-on experience, you will be responsible for designing and implementing scalable, secure, and high-performance architectures for Generative AI applications. This involves integrating Generative AI models into existing platforms, fine-tuning pre-trained generative models for domain-specific use cases, and developing strategies for data collection, sanitization, and preparation. You will also be evaluating, selecting, and deploying appropriate Generative AI frameworks such as PyTorch, TensorFlow, Crew AI, Autogen, Langraph, Agentic code, and Agentflow. Staying abreast of the latest advancements in Generative AI and recommending innovative applications to solve complex business problems is crucial. You will define and execute the AI strategy roadmap, identifying key opportunities for AI transformation. Collaboration with cross-functional teams, mentoring team members on AI/ML best practices, and making architectural decisions are essential aspects of the role. Monitoring the performance of deployed AI models and systems, optimizing computational costs, and ensuring compliance with ethical AI practices and data privacy regulations are key responsibilities. Safeguards must be implemented to mitigate bias, misuse, and unintended consequences of Generative AI. Required skills for this role include advanced programming skills in Python, proficiency in data processing frameworks like Apache Spark, knowledge of LLMs foundational models, experience with event-driven architectures, familiarity with Azure DevOps and other LLMOps tools, expertise in Azure OpenAI Service and vector DBs, containerization technologies like Kubernetes and Docker, comprehension of data lakes and data management strategies, proficiency in cloud computing platforms like Azure or AWS, exceptional leadership, problem-solving, and analytical abilities, superior communication and collaboration skills, and the ability to operate effectively in a dynamic environment. Nice-to-have skills include experience with technologies like Datadog and Splunk, possession of relevant solution architecture certificates, and continuous professional development in data engineering and GenAI. A professional and educational background in any graduate / BE / B.Tech / MCA / M.Sc / M.E / M.Tech / Masters Degree / MBA is required for this role.,

You are a dynamic and hands-on Full Stack AI Developer with expertise in Python programming, Generative AI, LLMs, API development, and front-end frameworks like React and Streamlit. Your responsibility includes designing, developing, and maintaining AI-powered full stack applications, building and optimizing REST APIs, creating backend services, implementing Generative AI features, developing front-ends, integrating retrieval-augmented generation (RAG) and agentic AI concepts, applying best practices in software engineering, and working with cloud platforms. You must have proficiency in Core Python Development, scientific & data libraries like NumPy and Pandas, database integration, API development, Generative AI/LLMs, deployment & containerization using Docker, frontend development with HTML5, CSS3, modern JavaScript, Streamlit, and React.js. Desirable skills include experience with cloud services, monitoring and logging for AI systems, testing frameworks, PDF extraction, OCR tools, frontend accessibility, and performance optimization. Your soft skills should include strong communication and documentation skills, problem-solving mindset, and the ability to collaborate across cross-functional teams. An educational qualification of Bachelors or Masters degree in Computer Science, Data Science, AI/ML, or related field is required, and certifications or hands-on experience in Generative AI/LLMs are a plus. This role is ideal for candidates passionate about developing end-to-end AI applications from data ingestion and model integration to real-time deployment and UI/UX delivery. You will work on real-world GenAI products using LLMs, APIs, Vector Databases, and modern front-end stacks in a production-ready setup.,

As a Data Scientist at Objectways located in Chennai, you will have the opportunity to be part of a team that is driving AI innovation and solving real-world problems by leveraging cutting-edge machine learning and reasoning technologies. Our projects are ambitious and diverse, ranging from agent trajectory prediction to complex reasoning systems, multimodal intelligence, and preference-based learning. We are looking for a talented individual like you who is eager to explore the boundaries of applied AI. In this role, you will be responsible for designing and developing machine learning models for both structured and unstructured data. You will work on agent trajectory prediction, complex reasoning, preference ranking, and reinforcement learning. Additionally, you will handle multimodal datasets and develop reasoning pipelines across text, image, and audio modalities. Your responsibilities will also include validating and optimizing prompts for large language model performance and translating research into scalable, production-level implementations. Collaboration with cross-functional teams such as Engineering, Product, and Research is essential to ensure the success of our projects. To qualify for this position, you should have a minimum of 4 years of hands-on experience in Data Science or Machine Learning roles. Proficiency in Python, PyTorch/TensorFlow, scikit-learn, and ML lifecycle tools is required. You should also demonstrate expertise in at least one of the following areas: trajectory modeling, preference ranking, or multimodal systems. Experience with LLM prompt engineering, complex reasoning algorithms, graph-based methods, and causal inference is highly beneficial. Strong problem-solving, analytical thinking, and communication skills are essential for success in this role. Preferred skills for this position include familiarity with tools like LangChain, Hugging Face, or OpenAI APIs, exposure to RLHF (Reinforcement Learning from Human Feedback) or prompt-tuning, and experience with deploying ML models in production environments using technologies such as Docker and MLflow. By joining Objectways, you will have the opportunity to work on high-impact, next-generation AI challenges, collaborate with top talent from various domains, and enjoy a competitive salary with benefits and a learning budget.,

As an AI Manager, you will be responsible for leading the design, development, and deployment of GenAI solutions to support our cutting-edge analytics platforms. Your role will involve mentoring a team of 35 AI engineers, cultivating a culture of collaboration and growth. You will oversee the entire architecture process, from conceptualization and LLM fine-tuning to deploying and monitoring GenAI applications on cloud platforms for financial analytics. Your tasks will include implementing agentic AI design patterns, utilizing frameworks like Autogen, LangGraph, CrewAI, or creating customized agentic architectures. You will integrate advanced GenAI frameworks, leveraging technologies such as Model Context Protocols (MCP) and Agent-to-Agent (A2A) for complex analytic workflows. Ensuring seamless integration with various databases like vector databases, NoSQL, and SQL for efficient data ingestion and retrieval will be crucial. Collaboration with product leaders, data scientists, and engineering teams is essential to deliver user-centric and enterprise-grade AI features. You will be a proponent of best practices in pipeline automation, model evaluation, ethical AI usage, and continuous system enhancement. Additionally, your engagement in open-source contributions on platforms like GitHub or Kaggle will be highly appreciated. In terms of qualifications, you should hold a bachelor's or master's degree in computer science, statistics, mathematics, engineering, or a related field. With 9 to 12 years of experience in machine learning and computer vision, emphasizing large language models, you should be proficient in Python and its data science libraries like pandas, numpy, TensorFlow, pytorch, HuggingFace, LangChain, or Haystack. Demonstrating sound coding principles and familiarity with RAG practices and SLM fine-tuning are required skills. Experience in deploying and managing data science solutions on cloud services such as Azure, AWS, or GCP is essential. Proficiency in sourcing data from SQL and NoSQL databases is necessary, along with basic database knowledge. Possessing a Kaggle profile that showcases your expertise will be advantageous. Strong communication and presentation skills are mandatory, as well as the ability to balance independent and collaborative work in a fast-paced environment. Ideally, your educational background should include a bachelor's or master's degree from premier Indian institutes like IITs, IISc, NITs, BITS, IIITs, etc., in disciplines such as Computer Science, any Engineering field, Mathematics, or related quantitative areas.,

As a Senior Data Scientist specializing in Generative AI at our organization, you will play a crucial role in driving technical innovation and delivering impactful results within a team setting. You will be responsible for working with financial data, applying NLP techniques, refining prompt engineering strategies for LLMs, collaborating with stakeholders, developing and testing Python code for GenAI solutions, integrating with vector databases, monitoring MLOps pipelines, researching emerging GenAI technologies, and troubleshooting and debugging GenAI models in production. To excel in this role, you must possess a Master's degree in Computer Science, Data Science, or a related field, with a Ph.D. being preferred. You should have 8-12 years of experience in a Data Scientist or equivalent role, with at least 4 years of specialized experience in Generative AI. Additionally, you should have demonstrable experience in the full lifecycle of real-world, production-level GenAI project implementation. You must stay up-to-date with the rapidly evolving GenAI landscape, continuously learn and explore new tools and techniques, and effectively communicate technical concepts to non-technical stakeholders. Proficiency in Python, along with expertise in key libraries for AI/ML and GenAI applications such as TensorFlow, PyTorch, and Transformers, is mandatory. Experience in designing and implementing scalable API architectures for GenAI applications, along with a deep understanding of Machine Learning concepts, is essential. Preferred qualifications for this role include experience with MLOps, cloud computing platforms, conversational AI solutions, and contributions to research and publications in the field of Generative AI. As a Senior Data Scientist, you will be expected to demonstrate strong technical leadership and mentorship skills, as well as excellent communication and collaboration abilities. This job description provides a comprehensive overview of the responsibilities and qualifications required for the Senior Data Scientist position. If you are a highly motivated individual with a strong passion for Generative AI and possess the necessary technical skills and experience, we encourage you to apply for this role.,

Role: Artificial Intelligence Engineer Location Bangalore (Ashok Nagar) Experience : 3 to 5 years Education : Bachelor's/Masters Degree in Technology. Salary : Negotiable Job Type : Full Time (On Role) Mode of Work : Work from Office Job Description We are looking for an experienced AI Engineer to join our team and develop advanced AI solutions. The role involves designing, training, and deploying machine learning models to address complex business challenges. Proficiency in Python, TensorFlow, and experience working with large datasets are critical for success. Preferred Skills: Proficiency in Python and NLP libraries such as OpenAIs GPT, LangChain, etc. Knowledge of Large Language Models (LLMs) and fine-tuning techniques Retrieval-Augmented Generation (RAG) for improving AI response Experience in API development and hosting (IIS preferred) Basic understanding of SQL Expertise in training, tuning, deploying, and leveraging models with SQL databases Technical Skills: Proficiency in programming languages such as Python, R, or Java Ability to integrate AI models into existing systems and applications Strong knowledge of machine learning algorithms (e.g., regression, classification, clustering) Experience with deep learning frameworks such as TensorFlow and PyTorch Expertise in data manipulation and cleaning techniques Familiarity with cloud platforms (AWS, Azure, GCP) for AI deployment Interested candidates kindly share your CV and below details to usha.sundar@adecco.com 1) Present CTC (Fixed + VP) - 2) Expected CTC - 3) No. of years experience - 4) Notice Period - 5) Offer-in hand - 6) Reason of Change - 7) Present Location -

Summary: We are seeking an experienced AI Engineer with 4 to 5 years of experience to join our team. The ideal candidate will have a strong background in artificial intelligence and machine learning technologies, as well as a proven track record of developing innovative solutions. Roles and Responsibilities: - Design and develop AI algorithms and models to solve complex business problems - Implement and optimize machine learning algorithms for real-time applications - Collaborate with cross-functional teams to integrate AI solutions into existing systems - Conduct research and stay up-to-date on the latest advancements in AI technology - Provide technical guidance and mentorship to junior team members - Participate in code reviews and contribute to the overall software development process Qualifications: - Bachelor's degree in Computer Science, Engineering, or related field - 4 to 5 years of experience in AI development - Strong programming skills in languages such as Python, Java, or C++ - Experience working with Langchain, LangGraph, and vector databases (e.g., Pinecone, ChromaDB, FAISS). - Hands-on experience with Hugging Face ecosystem including transformers etc. - Proficiency in model serving and deployment, using tools like FastAPI, Hugging Face Inference Endpoints, or AWS SageMaker for scalable and production-grade AI applications. - Strong understanding of prompt engineering, retrieval-augmented generation (RAG), and tokenization/token-level optimization. - Proven experience with fine-tuning and deploying LLMs (e.g., LLaMA, Mistral, Falcon, OpenAI, or Hugging Face Transformers). -Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn - Knowledge of cloud computing platforms such as AWS or Azure - Excellent problem-solving and analytical skills - Strong communication and teamwork abilities

What Were Looking For PM at a Consumer Startup (Pre-Series C) Youve built from scratch. Worked in lean teams. And you are a builder at heart. Launched & Scaled Something Real Youve taken something from v1 to real scaleDAUs, downloads, paid users. Your resume shows outcomes, not fluff. Growth DNA Youve worked on GTM, SEO, CRO, onboarding, referrals, or pricing. Youve shipped experiments and scaled what worked. Hands-On AI Application Youve integrated LLMs via APIs into actual products. Not prompt engineering, not AI curious. Youve built and shipped. Tools like OpenAI, Anthropic, LangChain, etc. Strong with Data You understand that insights are everything . You dont wait for dashboardsyou go hunting for truth in the numbers. Why Leap Work directly on 0-to-1s in a fast-growing, profitable company High ownership, fast decisions, no red tape A real shot at building products that scale to millions Work with founders and a high-velocity team that deeply cares Be at the front of building AI-native consumer experiences This is not a traditional PM job.

Role & responsibilities 5 Years -11 Years Joining location - Pune Notice period - immediate to 60days Primary Skills Data Science, Python, Machine Learning Mandatory Skills Deep Learning/NLP, Computer Vision, Gen AI/LLM, Cloud (AWS / Azure / GCP) Core Skills Python, NLP, LLMs, Data Science Must-Have Experience with LLM-based Gen AI applications, prompt engineering, Langchain and/or Llama-index Nice-to-Have BERTopic/Topic Modelling, HuggingFace, Responsible AI concepts Preferred candidate profile

We are seeking a Software Engineer with expertise in AI/ML and Full stack development to contribute to the development of core platform features. This role involves designing, developing, and optimizing high-performance AI-driven applications, building scalable microservices, and ensuring seamless integration across AI, backend, and frontend systems. You will play a key role in developing workflow automation modules, AI-powered search engines, and scalable enterprise solutions. Skills: P1 (must to have Skills) Generative AI Expertise/ AI Agents, Agentic Workflows/ RAG/ Prompt Engineering / Advanced Python Programming / LangChain / LangGraph / Vector Databases. P2 (need to have Skills ) FastAPI, NodeJS / Intuitive UI/UX Design: Either React or Typescript or Next.js. P3 (nice to have Skills) LlamaIndex / Integration of SLM/LLMs. Required Skills Generative AI Expertise : Advanced knowledge in AI Agents, Agentic Workflows, Retrieval-Augmented Generation (RAG), and Prompt Engineering. Advanced Python Programming : Proficiency in Python, particularly for AI-driven applications, with experience in frameworks like LangChain and LangGraph. Vector Databases : Strong skills in managing and utilizing vector databases for AI solutions. FastAPI & NodeJS : Experience in building backend services using FastAPI or NodeJS. UI/UX Design : Ability to design and implement intuitive user interfaces, with beginner to intermediate proficiency in React. LlamaIndex & SLM/LLM Integration : Familiarity with LlamaIndex and expertise in integrating System Language Models/Large Language Models into applications. Preferred Education and Experience: Bachelors/masters degree in computer science, AI, Machine Learning, or related field. At least 3 years in full-stack development with a focus on AI. Proven track record leading small engineering teams and delivering complex AI-driven products. Direct client-facing experience, from requirements gathering to final delivery.

We seek a Senior Full Stack AI Engineer passionate about rapidly developing and demonstrating Agentic AI and workflow solutions. This role focuses on quickly translating innovative ideas into tangible Proofs of Concept (POCs), leveraging full-stack capabilities to build attractive user interfaces, integrate sophisticated AI agents, and deploy working solutions for impactful demonstrations. Key Responsibilities Rapid Agentic AI POC Development: Lead agile development of end-to-end Agentic AI and complex workflow POCs from concept to demonstration, ensuring rapid iteration and delivery. Design and implement multi-turn conversational Agents, Tools, and Chains. Full Stack Application Development: Develop attractive and intuitive front-end user interfaces (e.g., React, Next.js) and robust back-end APIs (e.g., FastAPI, Flask). Implement comprehensive testing strategies across the full stack. AI Orchestration & Integration: Utilize frameworks like Langgraph (or equivalents such as CrewAI, AutoGen) to orchestrate complex AI agent systems and multi-step workflows. Implement Agent-to-Agent (A2A) communication and adhere to Model Connect Protocol (MCP) for inter-model interactions. Apply advanced prompt engineering techniques. Deployment & Demonstration: Containerize applications (Docker) and deploy on Kubernetes for scalable POCs. Establish and utilize CI/CD pipelines for continuous integration and delivery. Prepare and deliver compelling technical demonstrations. Experience: 6+ years in ML + data engineering, with 2+ years in LLM/GenAI projects. Proven rapid prototyping track record. Technical Skills: Programming: Python, JavaScript/TypeScript (React, Next.js). AI/ML Fundamentals: LLMs, prompt engineering, Agentic AI architectures. Agentic AI & LLM Frameworks: Langgraph, CrewAI, AutoGen, A2A, MCP, Chains, Tools, Agents. Front-end: React, Next.js. Back-end: FastAPI, Flask. Databases: Vector databases (Pinecone, Weaviate), SQL/NoSQL. DevOps: Docker, Kubernetes (K8s), CI/CD, Testing. Cloud Platforms: AWS/Azure/GCP. Good to have: Experience with cloud-native AI/ML services (e.g., AWS SageMaker, Azure ML, GCP Vertex AI). Familiarity with UI/UX design principles for creating engaging interfaces. Experience with asynchronous programming patterns in Python. Knowledge of caching mechanisms (e.g., Redis) for optimizing application performance. Understanding of general Machine Learning concepts and common algorithms beyond LLMs.

HCL Tech hiring for AI/ML/Gen Ai for Pune ,Bangalore and Chennai location Location: Pune, Total Exp: 5/6- 8 Years, Relevant Exp: 4-5 years ( Mandatory) Skills : Python / Java / Any programming Skills Rest API - Flask or Fast API GenAI Framework: LangChain / LangGraph / Haystack Cloud: Azure / AWS / GCP ( Basic ) Python Framework: Pandas, numpy, Scykit-learn Key Responsibilities: Develop and deploy machine learning models, predictive analytics, and AI solutions to solve business challenges. Design and optimize algorithms for data processing, feature engineering, and pattern recognition. Strong knowledge of at least one cloud platform (e.g., AWS, Azure, Google Cloud Platform)and AWS/Azure will be preferred Experience working on AI projects, including model development, training, and deployment Drive innovation by leveraging advanced statistical techniques, deep learning, and GenAI technology Ensure data integrity, governance, and best practices in model development and deployment. Mentor junior developer and promote a data-driven culture within the organization. Stay ahead of industry trends and emerging technologies to enhance analytical capabilities. Strong communication and teamwork abilities Preferred Qualifications: Bachelors degree in computer science, Engineering, or a related field Certification in either of AWS, Azure, Cloud Platform. Experience and/or Certification in Kubernetes, Terraform Role & responsibilities Kindly share your resume on aruta.patil@hcltech.com

The Spec Analytics Intmd Analyst role is a developing professional position where you will independently handle most problems and have the freedom to solve complex issues. You will utilize your in-depth specialty knowledge along with industry standards to integrate with the team and achieve sub-function/job family objectives. Your role will involve applying analytical thinking and data analysis tools to make judgments and recommendations based on factual information with attention to detail. You will be dealing with variable issues that could have broader business impacts and will have a direct influence on the core activities of the business through close contact. Your communication and diplomacy skills will be crucial to exchange potentially complex information effectively. Responsibilities: - Working with large and complex data sets to evaluate, recommend, and support business strategies - Identifying and compiling data sets using tools like SQL and Access to predict, improve, and measure business outcomes - Documenting data requirements, data collection, processing, cleaning, and exploratory data analysis - Specializing in marketing, risk, digital, and AML fields - Assessing risk in business decisions with consideration for the firm's reputation and compliance with laws and regulations Skills and Experience: As a successful candidate, you should ideally have: - 5+ years of experience in data science, machine learning, or related fields - Advanced process management skills, detail-oriented, and organized - Curiosity and willingness to learn new skill sets, particularly in artificial intelligence - Strong programming skills in Python and proficiency in data science libraries such as scikit-learn, TensorFlow, PyTorch, and Transformers - Experience with statistical modeling techniques, data visualization tools, and GenAI solutions - Familiarity with agentic AI frameworks and MLOps Education: - Bachelors/University degree or equivalent experience This job description provides an overview of the work performed, and additional duties may be assigned as needed.,

You will be joining a company that specializes in Identity and Access Management (IAM) and Customer Identity and Access Management (CIAM), offering advanced solutions to enhance security for your workforce, customers, and partners. The company also provides cutting-edge security solutions for various popular CMS and project management platforms such as Atlassian, WordPress, Joomla, Drupal, Shopify, BigCommerce, and Magento. The solutions offered are precise, effective, and focused on improving overall security measures. As an AI/ML Engineer with our team, you will play a crucial role in developing innovative AI-powered products and solutions. The ideal candidate for this position should possess a minimum of 10 years of hands-on experience in creating and implementing advanced AI and ML models and related software systems. This is a full-time employee position based in Baner, Pune. Your responsibilities will include developing machine learning and deep learning models and algorithms to address complex business challenges, enhance processes, and improve product functionality. You will work on deploying personalized large language models (LLMs), developing systems for document parsing, named entity recognition (NER), retrieval-augmented generation (RAG), and chatbots, as well as building robust data and ML pipelines for production scalability and performance. Additionally, you will optimize machine learning models for better performance, scalability, and accuracy using techniques like hyperparameter tuning and model optimization. It is crucial to write high-quality, production-ready code using frameworks such as PyTorch or TensorFlow and stay updated on the latest advancements in AI/ML technologies and tools. To qualify for this role, you should hold a Bachelor's or Master's Degree in Computer Science, Data Science, Computational Linguistics, Natural Processing (NLP), or related fields. You must have extensive experience in developing and deploying machine learning models and algorithms, with proficiency in AI/ML frameworks such as TensorFlow, PyTorch, and scikit-learn. Strong programming skills in Python, Java, or C++ are necessary, along with familiarity with web frameworks like FastAPI, Flask, Django, and agentic AI frameworks such as LangChain, LangGraph, AutoGen, or Crew AI. Knowledge of Data Science and MLOps, including ML/DL, Generative AI, containerization (Docker), and orchestration (Kubernetes) for deployment is essential. Experience with cloud platforms like AWS, Azure, and GCP, as well as AI/ML deployment tools, is highly beneficial. In this role, you will have the opportunity to work with a team of talented individuals in a stable, collaborative, and supportive work environment. You will be constantly exposed to new technologies and have the chance to expand your skills and knowledge in the field of AI/ML. Your communication and collaboration skills will be put to the test as you collaborate with stakeholders to understand business requirements, define project objectives, and deliver AI/ML solutions that meet customer needs and drive business value.,

The ideal candidate for this position in Ahmedabad should be a graduate with at least 3 years of experience. At Bytes Technolab, we strive to create a cutting-edge workplace infrastructure that empowers our employees and clients. Our focus on utilizing the latest technologies enables our development team to deliver high-quality software solutions for a variety of businesses. You will be responsible for leveraging your 3+ years of experience in Machine Learning and Artificial Intelligence to contribute to our projects. Proficiency in Python programming and relevant libraries such as NumPy, Pandas, and scikit-learn is essential. Hands-on experience with frameworks like PyTorch, TensorFlow, Keras, Facenet, and OpenCV will be key in your role. Your role will involve working with GPU acceleration for deep learning model development using CUDA, cuDNN. A strong understanding of neural networks, computer vision, and other AI technologies will be crucial. Experience with Large Language Models (LLMs) like GPT, BERT, LLaMA, and familiarity with frameworks such as LangChain, AutoGPT, and BabyAGI are preferred. You should be able to translate business requirements into ML/AI solutions and deploy models on cloud platforms like AWS SageMaker, Azure ML, and Google AI Platform. Proficiency in ETL pipelines, data preprocessing, and feature engineering is required, along with experience in MLOps tools like MLflow, Kubeflow, or TensorFlow Extended (TFX). Expertise in optimizing ML/AI models for performance and scalability across different hardware architectures is necessary. Knowledge of Natural Language Processing (NLP), Reinforcement Learning, and data versioning tools like DVC or Delta Lake is a plus. Skills in containerization tools like Docker and orchestration tools like Kubernetes will be beneficial for scalable deployments. You should have experience in model evaluation, A/B testing, and establishing continuous training pipelines. Working in Agile/Scrum environments with cross-functional teams, understanding ethical AI principles, model fairness, and bias mitigation techniques are important. Familiarity with CI/CD pipelines for machine learning workflows and the ability to communicate complex concepts to technical and non-technical stakeholders will be valuable.,

You should have hands-on experience in Machine Learning Model and deep learning development using python. You will be responsible for Data Quality Analysis and Data preparation, Exploratory Data Analysis, and visualization of data. Additionally, you will define validation strategies, preprocessing or feature engineering on a given dataset, and data augmentation pipelines. Text processing using Machine Learning and NLP for processing documents will also be part of your role. Your tasks will include training models, tuning their hyperparameters, analyzing model errors, and designing strategies to overcome them. You should have experience with python packages such as Numpy, Scipy, Scikit-learn, Theano, TensorFlow, Keras, PyTorch, Pandas, and Matplotlib. Experience in working on Azure open AI studio or openai using python or LLAMA or Langchain is required. Moreover, experience in working on Azure function and python flask/api development/streamlit, prompt engineering, conversational AI, and LLM models like word2Vec, Glove, spacy, BERT embedding models is preferred. You are expected to possess distinctive problem-solving, strategic, and analytical capabilities, as well as excellent time-management and organization skills. Strong knowledge in Programming languages like Python, reactjs, SQL, big data is essential. Excellent verbal and written communication skills are necessary for effective interaction between business and technical architects and developers. You should have 2 - 4 years of relevant experience and a Bachelors Degree in Computer Science, Computer Engineering, masters in computer application, MIS, or a related field. End-to-End development experience in deployment of the Machine Learning model using python and Azure ML studio is required. Exposure in developing client-based or web-based software solutions and Certification of Machine Learning and Artificial Intelligence will be beneficial. Good to have experience in power platform or power pages or Azure OpenAI studio. Grant Thornton INDUS comprises GT U.S. Shared Services Center India Pvt Ltd and Grant Thornton U.S. Knowledge and Capability Center India Pvt Ltd. Grant Thornton INDUS is the shared services center supporting the operations of Grant Thornton LLP, the U.S. member firm of Grant Thornton International Ltd. Established in 2012, Grant Thornton INDUS employs professionals across a wide range of disciplines including Tax, Audit, Advisory, and other operational functions. The culture at Grant Thornton INDUS promotes empowered people, bold leadership, and distinctive client service. Working at Grant Thornton INDUS offers an opportunity to be part of something significant and serves communities in India through inspirational and generous services to give back to the communities they work in. Grant Thornton INDUS has its offices in two locations in India Bengaluru and Kolkata.,

You will be working as a Lead Backend Engineer at Team Geek Solutions, a company based in Noida/Indore, with a mission to solve real-world problems using scalable backend systems and next-gen AI technologies. As part of our collaborative and forward-thinking culture, you will play a crucial role in building impactful products driven by cutting-edge technology. Your primary responsibility will be to lead a team of backend and AI engineers, guiding them in developing robust backend solutions using Java and Python. You will leverage your expertise in GenAI and Large Language Models (LLMs) to architect scalable backend architectures and AI-driven solutions, pushing the boundaries of AI capabilities. Key Responsibilities: - Lead and mentor a team of backend and AI engineers to deliver innovative solutions. - Architect and develop robust backend solutions using Java and Python. - Utilize state-of-the-art LLMs like OpenAI and HuggingFace models to build solutions using LangChain, Transformer models, and PyTorch. - Implement advanced techniques such as Retrieval-Augmented Generation (RAG) to enhance LLM-based systems. - Drive the development of end-to-end ML pipelines, including training, fine-tuning, evaluation, deployment, and monitoring (MLOps). - Collaborate with business and product teams to identify use cases and deliver AI-powered solutions. - Stay abreast of the latest advancements in AI and integrate best practices into development workflows. Required Skills: - Proficiency in Java and Python with hands-on experience in both languages. - Strong understanding of Data Structures & Algorithms. - Deep expertise in Transformer-based models, LLM fine-tuning, and deployment. - Hands-on experience with PyTorch, LangChain, and Python web frameworks (e.g., Flask, FastAPI). - Solid database skills, particularly with SQL. - Experience in deploying and managing ML models in production environments. - Leadership experience in managing small to mid-sized engineering teams. Preferred / Good-to-Have Skills: - Familiarity with LLMOps tools and techniques. - Exposure to cloud platforms like AWS/GCP/Azure for model deployment. - Excellent written and verbal communication skills suitable for technical and non-technical audiences. - A strong passion for innovation and building AI-first products. If you are a tech enthusiast with a knack for problem-solving and a drive to innovate, we welcome you to join our team at Team Geek Solutions and contribute to shaping the future of AI-driven solutions.,

At NiCE, we challenge our limits and strive to be game changers in everything we do. If you are ambitious, innovative, and always play to win, we have the ultimate career opportunity that will ignite your passion for excellence. We are currently looking for an experienced AI Architect who possesses not only strategic thinking skills but also a hands-on approach to coding. In this role, you will be involved in both proof-of-concept (POC) and production-grade AI projects. Your responsibilities will include mentoring team members, establishing ethical AI practices, and making critical decisions regarding AI deployment strategies. It is essential to have a strong background in deploying AI solutions on cloud platforms like Azure or AWS, as well as expertise in building secure and compliant data and machine learning pipelines. As a proactive leader, you will be responsible for bridging the gap between innovation and execution while ensuring scalability, security, and governance in AI systems. Your impact will be significant as you: - Build scalable AI systems and infrastructure capable of handling large datasets, ensuring performance, reliability, and maintainability. - Lead the development of secure and compliant data and machine learning pipelines, aligning with data governance and regulatory standards. - Design, develop, and implement AI models and algorithms to solve real-world business problems. - Mentor team members on AI technologies, best practices, and system architecture. - Collaborate with stakeholders to identify AI-driven innovation opportunities and translate business requirements into technical solutions. - Promote ethical and responsible AI practices across the organization. - Take ownership of strategic decisions related to AI deployment and lifecycle management. - Conduct research and implement machine learning algorithms, including Retrieval-Augmented Generation (RAG) techniques. - Develop AI applications using modern frameworks and run experiments to enhance model performance. - Define and implement AI project Software Development Lifecycle (SDLC) processes. To be successful in this role, you should have: - Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, or related field. - Proven experience as an AI Architect with a track record of deploying AI solutions in production. - Strong expertise in AI/ML technologies, cloud platforms, and secure data management. - Proficiency in programming languages such as Python, .NET, and AI/ML frameworks. - Experience with AI project SDLC, CI/CD for ML, and AI testing strategies. - Familiarity with DevOps and Data Engineering tools and practices. - Strong analytical and problem-solving skills. - Excellent communication skills to convey complex technical concepts. Join NiCE, a global company where innovation and collaboration thrive. Embrace the NICE-FLEX hybrid work model for maximum flexibility and endless opportunities for growth and development. If you are passionate, innovative, and ready to raise the bar, come join us at NiCE! Requisition ID: 7474 Reporting into: Tech Manager Role Type: Individual Contributor About NiCE: NICELtd. (NASDAQ: NICE) is a global leader in software products used by over 25,000 businesses worldwide. With a focus on delivering exceptional customer experiences and ensuring public safety, NiCE is known for its innovation in AI, cloud, and digital domains. Join our team of over 8,500 employees across 30+ countries and be part of our journey towards excellence.,

We are looking for a skilled, motivated, and quick-learning Full Stack Developer to join our team dedicated to cutting-edge Gen AI development work. As a Full Stack Developer, you will be responsible for creating innovative applications and solutions that encompass both frontend and backend technologies. While our solutions often involve the use of Retrieval Augmented Generation (RAG) and Agentic frameworks, your role will extend beyond these technologies to encompass a variety of AI tools and techniques. Your responsibilities will include developing and maintaining web applications using Angular, NDBX frameworks, and other modern technologies. You will design and implement databases in Postgres DB, employ ingestion and retrieval pipelines utilizing pgvector and neo4j, and ensure the implementation of efficient and secure data practices. Additionally, you will work with various generative AI models and frameworks such as LangChain, Haystack, and LlamIndex for tasks like chucking, embeddings, chat completions, and integration with different data sources. You will collaborate with team members to integrate GenAI capabilities into applications, write clean and efficient code adhering to company standards, conduct testing to identify and fix bugs, and utilize collaboration tools like GitHub for effective team working and code management. Staying updated with emerging technologies and applying them to operations will be essential, showcasing a strong desire for continuous learning. Qualifications and Experience: - Bachelor's degree in Computer Science, Information Technology, or a related field with at least 6 years of working experience. - Proven experience as a Full Stack Developer with a focus on designing, developing, and deploying end-to-end applications. - Knowledge of front-end languages and libraries such as HTML/CSS, JavaScript, XML, and jQuery. - Experience with Angular and NDBX frameworks, as well as database technologies like Postgres DB and vector databases. - Proficiency in developing APIs following OpenAPI standards. - Familiarity with generative AI models on cloud platforms like Azure and AWS, including techniques like Retrieval Augmented Generation, Prompt engineering, Agentic RAG, and Model context protocols. - Experience with collaboration tools like GitHub and docker images for packaging applications. At Allianz, we believe in fostering a diverse and inclusive workforce. We are proud to be an equal opportunity employer that values bringing your authentic self to work, regardless of background, appearance, preferences, or beliefs. Together, we can create an environment where everyone feels empowered to explore, grow, and contribute to a better future for our customers and the global community. Join us at Allianz and let's work together to care for tomorrow.,

As a Senior QA Engineer at our company, you will be leading quality assurance for Generative AI (GenAI) solutions within our Digital Twin platform. Your role will involve focusing on the evaluation, reliability, and guardrails of AI-powered systems in production, going beyond traditional QA practices. Your responsibilities will include designing and implementing end-to-end QA strategies for applications using Node.js integrated with LLMs, RAG, and Agentic AI workflows. You will establish benchmarks and quality metrics for GenAI components, develop evaluation datasheets for LLM behavior validation, and conduct data quality testing for RAG databases. Additionally, you will perform A/B testing, define testing methodologies, collaborate with developers and AI engineers, build QA automation, and lead internal capability development by mentoring QA peers on GenAI testing practices. To be successful in this role, you should have at least 6 years of experience in software quality assurance, with a minimum of 3 years of experience in GenAI or LLM-based systems. You should possess a deep understanding of GenAI quality dimensions, experience in creating and maintaining LLM evaluation datasets, and familiarity with testing retrieval pipelines and RAG architectures. Preferred skills include experience with GenAI tools/platforms, exposure to evaluating LLMs in production settings, familiarity with prompt tuning and few-shot learning in LLMs, and basic scripting knowledge in Python, JavaScript, or TypeScript. If you are a passionate and forward-thinking QA Engineer with a structured QA discipline, hands-on experience in GenAI systems, and a strong sense of ownership, we encourage you to apply for this high-impact role within our innovative team.,

Title : GenAI Engineer Experience : 5+ Years (Relevant) No. Of Positions : 5 Location : Remote Mandatory Skills : Python, Langraph/Langchain, AWS, EKS, CICD, RAG, LLM. 5x GenAI Platform: Support BAU (recently onboarded projects), build out platform, experienced engineer, platform thinking, Python, Java, EKS, ideally GenAI o Understand RAG, LLMs, etc - To the level they're able to help build. o Experience working on GenAI platform projects.

Description: Product Operations partners with a variety of different engineering and operations teams, our team leads development of machine learning solutions. We deliver projects from end-to-end: problem statement and conceptualization, proof-of-concept, and participation in final deployment! You will also perform ad-hoc statistical analyses. You will also work closely with data engineers to generate detailed business intelligence solutions. You will be expected to conduct presentations of analyses to a wide range of audiences including executives. Minimum Qualifications 3+ years of experience in machine learning algorithms, statistics, and data mining models, with an emphasis on large language models (LLM) or large multimodal models (LMM). Masters degree in Machine Learning, Artificial Intelligence, Computer Science, Statistics, Operations Research, Physics, Mechanical Engineering, Electrical Engineering, or a related field. Preferred Qualifications Proven experience in LLM and LMM development, fine-tuning, and application building. Experience with agents and agentic workflows is a major plus. Experience with modern LLM serving and inference frameworks, including vLLM for efficient model inference and serving. Hands-on experience with LangChain and LlamaIndex, enabling RAG applications and LLM orchestration. Strong software development skills with proficiency in Python. Experienced user of ML and data science libraries such as PyTorch, TensorFlow, Hugging Face Transformers, and scikit-learn. Familiarity with distributed computing, cloud infrastructure, and orchestration tools, such as Kubernetes, Apache Airflow (DAG), Docker, Conductor, Ray for LLM training and inference at scale is a plus. Deep understanding of transformer-based architectures (e.g., BERT, GPT, LLaMA) and their optimization for low-latency inference. Ability to meaningfully present results of analyses in a clear and impactful manner, breaking down complex ML/LLM concepts for non-technical audiences. Experience applying ML techniques in manufacturing, testing, or hardware optimization is a major plus. Proven experience in leading and mentoring teams is a plus.

About Nirvna Nirvna Solutions is a financial technology & services provider that delivers integrated and modular front, middle, and back-office solutions to a wide array of financial firms, including hedge funds, private equity firms, asset managers, prime brokers, and fund administrators. Nirvna 's ability to electronically ingest data from the inception of a portfolio and seamlessly integrate its day-to-day workflow from front to back office makes it stand out from the crowd. The complexity of the application poses interesting challenges and facilitates multitude of learning opportunities to the one who wants to dive in. At Nirvna, we strive to build a close- knit competitive team environment. We believe in team players. A successful team gives better results than an accomplished individual. For further information about us, please visit our website www.nirvanasolutions.com. Nirvna Solutions headquarter is in the financial capital of the world - Manhattan, NY, USA. Our offshore development centre is in Gurugram and is a wholly owned subsidiary of the U.S Entity. The offshore development and client service Centre Is a critical piece to the company's overall success and will continue to play an increasingly important role in the future We are hiring for Senior Python Developer. Job Description Summary: We are seeking an experienced Senior Python Developer (6+ years) to join our team in building and scaling our AI-driven Copilot platform. This platform leverages LangChain, LangGraph, LangMem, vector databases, and advanced agentic flows to provide intelligent assistance to users across our investment management solutions. The role focuses on designing, developing, and implementing modern AI techniques to build and maintain multi-modal conversational systems enabling voice, text, and potentially image-based interactions while planning future enhancements with MCP (Model Control Protocol) to deliver exceptional user experiences that simplify workflows and fulfill user queries with engaging UX. Employment Type: Permanent Job Location: Gurugram (Hybrid Work Model) Salary Offered : As per industry standard Qualifications: BE/B.Tech in Computer Science from a top IT college or a Masters degree in a relevant field such as Statistics, Data Science, or Applied Mathematics. Experience: 6+ years of professional Python development experience in complex applications or AI/ML platforms. Job Responsibilities: Build and refine the design and development of scalable, modular Python applications for the Copilot platform. Architect, implement, and refine LangChain/LangGraph agentic flows and long-term memory structures (using LangMem). Build robust API layers using FastAPI and integrate with internal/external APIs (e.g., NirvanaOne API, MCP Servers). Collaborate with product managers, UX designers, and engineering teams to translate requirements into technical designs. Provide technical mentoring, and code reviews for developers. Design and document clear architecture diagrams and technical specifications. Refine and integrate secure Azure-based authentication mechanisms across tenants. Ensure code quality through automated testing, CI/CD, and adherence to secure coding practices. Monitor system performance, identify bottlenecks, and proactively propose improvements. Stay updated with AI/ML advancements and advise on their integration into our architecture. Requirements: Strong expertise in Python and related libraries. Experience with LangChain, LangGraph, LangMem, vector DBs and embeddings-based search. Solid knowledge of backend api frameworks like FastAPI for building high-performance APIs. Hands-on experience designing agentic or conversational AI architectures. Experience integrating with identity providers (Azure AD preferred) and working with refresh/access tokens. Proficiency with RDBMS (PostgreSQL, SQL Server) and NoSQL databases. Familiarity with cloud services (Azure preferred) and containerization (Docker). Knowledge of modern AI/ML techniques, including LLM-based applications. Experience working on multi-tenant architectures and secure API integrations. Strong software engineering principles: version control, automated testing, CI/CD. Excellent problem-solving skills and ability to think strategically. Strong communication skills and ability to work in cross-functional teams. Nice to Have: Exposure to the investment management domain or financial services applications. Experience with MCP (or equivalent frameworks for multi-modal/agentic systems). Familiarity with Kafka-based event-driven architectures. Why Nirvna Work on the Test environment which gives you an opportunity to enhance and modify with respect to your desired skills. Opportunity to become a subject matter expert by way of certifications and relevant assignments. Get early opportunity to take product ownership for fast-paced growth. Latest software engineering practices. Opportunity to directly work with top leadership (including the CEO) and be recognized for the good work. Take the initiative to implement new technology/frameworks/processes to delight our clients with a wonderful product. Exposure to the finance domain (Security Markets) is one of our distinctive advantages. A conducive working environment with several employee benefits. Friendly Culture. 5 Days Working with flexibility of work from home / hybrid working model

:Our client is Global IT Service & Consulting Organization Data Science Engineer Exp:5 -11 years Primary Skills: Data Science, Python, Machine Learning Mandatory Skills:Deep Learning/NLP, Computer Vision, Gen AI/LLM, Cloud (AWS / Azure / GCP) Core Skills:Python, NLP, LLMs, Data Science Must-Have:Experience with LLM-based Gen AI applications, prompt engineering, Langchain and/or Llama-index Nice-to-Have: BERTopic/Topic Modelling, HuggingFace, Responsible AI concepts Location- Pune Notice period: Immediate to 60 days F2F interview on 19th July ,Saturday in Pune location

Responsibilities: * Develop generative AI models using machine learning techniques. * Optimize data pipelines with LangChain. * Collaborate cross-functionally on project delivery. Health insurance Annual bonus Provident fund