1047 Llm Jobs - Page 25

Position - Full Stack Developer( LLM & AI/ML/ Python NLP, Claude,Mistral,RAG ) Group Manager - RNA Design, fine-tune, and deploy LLM-based solutions (e.g., ChatGPT, LLaMA, Mistral, Claude).Integrate LLMs into modern web applications to deliver intelligent user experiences Develop end-to-end full-stack applications using modern web frameworks and RESTful APIs. Collaborate with data scientists and product managers to translate business problems into LLM-based applications. Build and optimize prompt engineering workflows for maximum model performance. Ensure performance, scalability, and security of deployed solutions Stay up to date with the latest advancements in generative AI and web development Must Have: LLM & AI/ML Skills: Deep experience with LLMs (OpenAI GPT, Claude, LLaMA, Mistral, etc.) Expertise in prompt engineering, model fine-tuning, and RAG (Retrieval-Augmented Generation) Familiarity with Hugging Face, LangChain, or similar AI frameworks Strong Python programming skills, especially in NLP libraries (e.g., Transformers, SpaCy, PyTorch, TensorFlow) Experience with vector databases (e.g., Pinecone, FAISS, Weaviate)Web Development: Proficiency in modern front-end frameworks (React, Angular, or Vue.js) Strong backend development experience (Node.js, Django, Flask, or FastAPI) Hands-on experience building and integrating RESTful APIs and GraphQL endpoints Strong understanding of web architecture, security, performance optimization.DevOps & Deployment: Experience with Docker, Kubernetes, or cloud services (AWS, Azure, GCP)CI/CD pipelines and code quality tools (e.g., GitHub Actions, Jenkins)General:Strong problem-solving and debugging skills. Excellent written and verbal communication.Ability to work independently in a fast-paced, innovative environment Ability to translate business needs into scalable tech solutions Leadership experience in mentoring or guiding technical teams Qualifications Masters or Bachelors in Computer Science, Artificial Intelligence, or a related field Experience with production-grade LLM applications (chatbots, agents, copilots, etc.) 8+ years of hands-on experience.

Working experience and well versed knowledge around LLM Models. Working experience in Kore.ai Additionally Java , spring boot working experience is an added advantage Knowledge on AWS services is an added advantage

Title: ML Engineer Location: Chennai (Hybrid) Experience: 3 - 12 Years Notice Period: 15-20 Days Responsibilities: Strong understanding of ML algorithms, techniques, and best practices. Strong understanding of Databricks, Azure AI services and other ML platforms and cloud computing platforms (e.g., AWS, Azure, GCP) and frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Strong understanding of Mlflow or Kubeflow frameworks Strong programming skills in python and Data analytical expertise Experience in building Gen AI based solutions like chatbots using RAG approaches Expertise in any of the gen ai frameworks such as Lang chain/ Lang graph, autogen, crewai, etc. Requirements: Proven experience as a Machine Learning Engineer, Data Scientist, or similar role, with a focus on product matching, image matching, and LLM. Solid understanding of machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Hands-on experience with product matching algorithms and image recognition techniques. Experience with natural language processing and large language models (LLMs) such as GPT, BERT, or similar architectures. Optimize and fine-tune models for performance and scalability.. Collaborate with cross-functional teams to integrate ML solutions into products. Stay updated with the latest advancements in AI and machine learning.

Key Skills: Machine Learning, Core Java, Roles and Responsibilities: Drive end-to-end AI application development, from ideation to production deployment. Work across backend, frontend, automation, and data pipelines with a boundaryless technology approach. Design and fine-tune large language model (LLM) prompts, embeddings, and AI agents for domain-specific applications. Build scalable, secure, cost-efficient, and privacy-conscious AI solutions. Implement robust testing mechanisms to mitigate prompt drift, hallucinations, and model regressions. Maintain high standards in code hygiene, CI/CD practices, and technical documentation. Collaborate with analysts and data engineers to ensure data pipeline quality and readiness. Formulate and validate hypotheses in close collaboration with stakeholders. Champion rapid prototyping with a build-fast, fail-fast, and learn-faster mindset. Apply lean experimentation methodologies to validate ideas before resource commitment. Work cross-functionally with Product, Design, Business, Security, and Legal teams to solve real-world problems. Foster a culture of learning through internal POCs, demos, workshops, and tech blogs. Stay abreast of evolving Generative AI trends, tools, and advancements, evaluating opportunities for integration. Experience Requirement: 5+ years of professional software development experience, with a focus on backend systems and scalable architectures. 2+ years of hands-on experience in developing Generative AI applications (e.g., AI bots, AI agents) using tools like AWS Bedrock, LangChain, RAG pipelines, agent-based frameworks, vector databases, LLMs, and NLP techniques. Proficient in Python and experienced with modern ML/AI libraries and frameworks. Demonstrated expertise in developing LLM-based applications, including prompt engineering and performance tuning. Deep understanding of AI-specific data privacy, security, and cost-effective design principles. Skilled in handling both structured and unstructured data for retrieval and transformation. Experience collaborating across cross-functional teams in fast-paced environments. Hands-on experience with cloud platforms, preferably AWS. Strong analytical and problem-solving skills with a proactive learning attitude. Education: B.Tech M.Tech (Dual), B.Tech.

Very Urgent: AI Specialist / Gen AI Specialist with LLM Company: AurumData Solutions Experience: 8+years Location: Hyderabad Job Mode: Permanent Work Type: Work From Office Key Skills: AI/GenAI, LLM, RAG,NLP, Python, ML/DL, TensorFlow, PyTorch, Scikit-learn, cloud platforms (AWS, GCP, or Azure) AI Specialist Job Description: We are seeking an experienced AI Specialist to develop, implement, and optimize artificial intelligence (AI) and machine learning (ML) models. The ideal candidate will have a strong background in AI, deep learning, natural language processing (NLP), and data science. This role involves collaborating with cross-functional teams to integrate AI-driven solutions into business processes, enhancing efficiency, automation, and decision-making. Required Skills & Qualifications Bachelor's or Masters degree in Computer Science, AI, Machine Learning, Data Science, or a related field. 5+ years of experience in AI/ML development and deployment. Proficiency in programming languages such as Python, R, or Java. Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.). Strong understanding of deep learning architectures (CNNs, RNNs, Transformers, GANs). Experience with NLP, speech recognition, or computer vision. Knowledge of cloud-based AI services (AWS SageMaker, GCP AI, Azure ML). Familiarity with big data technologies (Hadoop, Spark, Kafka) is a plus. Strong problem-solving skills and the ability to work in a collaborative environment. Excellent communication skills to convey AI concepts to non-technical stakeholders. Design, develop, and deploy AI/ML models to solve complex business problems . Implement machine learning algorithms, including supervised and unsupervised learning, deep learning, and reinforcement learning. Work with large datasets to extract insights and build predictive models. Develop AI-powered applications, including chatbots, recommendation systems, and computer vision solutions. Collaborate with data scientists, engineers, and business analysts to align AI solutions with business needs. Optimize AI models for performance, scalability, and accuracy. Conduct research on emerging AI technologies and recommend their adoption. Ensure AI solutions comply with ethical AI principles, privacy regulations, and security guidelines. Use cloud platforms (AWS, GCP, or Azure) to deploy and manage AI models. Continuously monitor and improve AI models based on real-world feedback and data. Preferred Qualifications AI certifications (Google Professional ML Engineer, AWS Certified ML Specialist, etc.). Experience in AI-driven automation and decision intelligence. Knowledge of edge AI and federated learning techniques. If you are interested, kindly send your updated profiles to Balaram@aurumdatasolutions.com Regards, Balaram K Mobile No: +91- 9000749410 / 9848771366 Email: Balaram@aurumdatasolutions.com

Drive development of enterprise-levelGenAIapplications using LLM frameworks such asLangchain,Autogen, and Hugging Face. Architect intelligent pipelines usingPySpark, TensorFlow, andPyTorchwithin Databricks and AWS environments. Implement embedding models andmanageVectorStoresfor retrieval-augmented generation (RAG) solutions. Integrate andleverageMDM platforms like Informatica and Reltio to supply high-quality structured data to ML systems. Utilize SQL and Python for data engineering, data wrangling, and pipeline automation. Build scalable APIs and services to serveGenAImodels in production. Lead cross-functional collaboration with data scientists, engineers, and product teams to scope, design, and deploy AI-powered systems. Ensure model governance, version control, and auditability aligned with regulatory and compliance expectations. Basic Qualifications and Experience: Master s degree with8-10years of experience in Data Science, Artificial Intelligence, Computer Science, or related fields OR Bachelor s degree with 10 - 14 years of experience in Data Science, Artificial Intelligence, Computer Science, or related fields OR Diploma with 14 - 16 years of hands-on experience in Data Science, AI/ML technologies, or related technical domain Functional Skills: Must-Have Skills: 10+ years of experience working in AI/ML or Data Science roles, includingdesigningand implementingGenAIsolutions. Extensive hands-on experience with LLM frameworks and tools such asLangchain,Autogen, Hugging Face, OpenAI APIs, and embedding models. Strong programming background with Python,PySpark, and experience in building scalable solutions using TensorFlow,PyTorch, and SK-Learn. Proventrack recordof building and deploying AI/ML applications in cloud environments such as AWS. Expertisein developing APIs, automation pipelines, and servingGenAImodels using frameworks like Django,FastAPI, andDataBricks. Solid experience integrating and managing MDM tools (Informatica/Reltio) and applying data governance best practices. Guide the team on development activities and lead the solution discussions Must have core technical capabilities inGenAI, Data Science space Good-to-Have Skills: Prior experience in Data Modeling, ETL development, and data profiling to support AI/ML workflows. Working knowledge of Life Sciences or Pharma industry standards and regulatory considerations. Proficiencyin tools like JIRA and Confluence for Agile delivery and project collaboration. Familiarity with MongoDB,VectorStores, and modern architecture principles for scalableGenAIapplications. Professional Certifications: Any ETL certification (e.g.Informatica) Any Data Analysis certification (SQL) Any cloud certification (AWS or AZURE) Data Science and ML Certification Soft Skills: Strong analytical abilities to assess and improve master data processes and solutions. Excellent verbal and written communication skills, with the ability to convey complex data concepts clearly to technical and non-technical stakeholders. Effective problem-solving skills to address data-related issues and implement scalable solutions. Ability to work effectively with global, virtual teams

Position Overview We are looking for an experienced AI/ML Lead to join our team in Bengaluru. The ideal candidate will bring a deep understanding of machine learning, artificial intelligence, and big data technologies, with proven expertise in developing scalable AI/ML solutions. You will lead technical efforts, mentor team members, and collaborate with cross-functional teams to design, develop, and deploy cutting edge AI/ML applications. Job Details Job Category: AI/ML Engineer Job Type: Full-Time Job Location: Bengaluru Experience Required: 5-10 Years About Us We are a multi-award-winning creative engineering company. Since 2011, we have worked with our customers as a design and technology enablement partner, guiding them on their digital transformation journeys. Roles and Responsibilities Backend Development Design, develop, and maintain robust backend systems to support AI/ML applications. Implement APIs and services to integrate AI models with frontend applications and other services. Ensure scalability, performance, and security of backend systems. Big Data Solutions Work with large-scale data processing frameworks like Hadoop and Spark, as well as CRMs (e.g., Salesforce) and databases (e.g., Postgres, MongoDB). Develop and optimize data pipelines for efficient data ingestion, processing, and storage. Ensure data integrity and consistency across multiple sources and formats. Machine Learning Develop, train, and deploy traditional machine learning models (e.g., regression/classification models, neural networks). Perform data analysis and feature engineering to improve model performance. Continuously monitor and refine models based on performance metrics. Generative AI Knowledge Base Solutions Design and implement generative AI models for knowledge base creation and maintenance. Develop systems to integrate generative AI with existing knowledge management platforms. Optimize generative models for high-quality, relevant output in knowledge base contexts. Collaboration and Communication Collaborate with data scientists, software engineers, and product managers. Communicate complex technical concepts effectively to non-technical stakeholders. Lead technical discussions and mentor junior team members. Research and Innovation Stay updated on advancements in AI, machine learning, and big data technologies. Conduct research to explore new methodologies and enhance existing solutions. Propose and implement innovative approaches to solve complex problems. Key Skills and Competencies Core Technical Skills Proficiency in data analytics, descriptive analytics, and predictive analytics. Experience with regression and classification models like Linear Regression, Logistic Regression, Decision Trees, Random Forest, and Neural Networks. Expertise in programming languages: Python, R, SQL, Java, C, and C++. Familiarity with AI/ML tools provided by cloud platforms (AWS, Azure, GCP) such as TensorFlow, SageMaker, and Azure ML. Hands-on experience working with LLM models. Proficiency in data modeling and data visualization. Additional Skills Strong problem-solving skills focused on product development. Proven track record of supporting global clients or internal stakeholders in data science projects. Knowledge of AI-related fields such as image processing and video analytics. Ability to work across time zones and geographic borders. Exceptional written and spoken communication skills to convey technical concepts effectively to non-technical audiences. Qualifications Graduation/Post-graduation in Computers, Engineering, or Statistics from a reputed institute. What We Offer Competitive salary and benefits package. Opportunity to work in a dynamic and innovative environment. Professional development and learning opportunities.

Job Title: Senior Data Scientist | Machine Learning Engineer (MLE) Job Location: [Mohali / Pune] Experience : 4+ years Skill Sets: Expertise in ML/DL, model lifecycle management, and MLOps (MLflow, Kubeflow) Proficiency in Python, TensorFlow, PyTorch, Scikit-learn, and Hugging Face models Strong experience in NLP, fine-tuning transformer models, and dataset preparation Hands-on with cloud platforms (AWS, GCP, Azure) and scalable ML deployment (Sagemaker, Vertex AI) Experience in containerization (Docker, Kubernetes) and CI/CD pipelines Knowledge of distributed computing (Spark, Ray), vector databases (FAISS, Milvus), and model optimization (quantization, pruning) Familiarity with model evaluation, hyperparameter tuning, and model monitoring for drift detection Roles & Responsibilities: Design and implement end-to-end ML pipelines from data ingestion to production Develop, fine-tune, and optimize ML models, ensuring high performance and scalability Compare and evaluate models using key metrics (F1-score, AUC-ROC, BLEU etc) Automate model retraining, monitoring, and drift detection Collaborate with engineering teams for seamless ML integration Mentor junior team members and enforce best practices

Requirement Brief: Idolize is an AI Tech Startup with 6+ years deep experience in Implementing HyperAutomation Solutions. We take pride in calling ourselves as one of the best solution provider in the HyperAutomation space while amalgamating multiple technologies under one roof. In this sequence, we are currently having acute focus on GenAI, LLM and NLP under the umbrella of AI technologies to enhance our capabilities in HyperAutomation while integrating these tech components in more complex automation use cases. In above context, we are in the process of setting up a dedicated COE (center of excellence) for GenAI, LLM and related technologies and looking to onboard talented individuals as GenAI Interns who have completed their base academic degree in computer science i.e. B.Tech. (CS or IT), B.E. (CS or IT), M.Tech. (CS or IT), MCA and who are passionate to build AI driven automation solutions with the help of these new age technologies. Below are the detailed requirements for this opportunity and we are eager to on-board you as early as in a week time. What is expected from you: Educational Background: Degree: Bachelors or Masters degree in Computer Science, Computer Engineering, or a related field. Recent graduates or final-year students are encouraged to apply. We would like to have only and only 2023 and 2024 passing graduates. Please note that we are not currently interviewing candidates with B.Sc. or M.Sc. degrees hence you may choose not to apply. Technical Skills: Programming Languages: Proficiency in programming languages commonly used in AI and machine learning, such as Python. Familiarity with libraries like PyTorch or TensorFlow is highly desirable. Understanding of LLMs: Fundamental knowledge of how Large Language Models work, including transformers, attention mechanisms, and common architectures like GPT, BERT, or T5. Experience with NLP: Basic understanding of Natural Language Processing (NLP) concepts and techniques, such as tokenization, embedding, and text classification. Machine Learning Foundations: Solid understanding of machine learning principles, algorithms, and techniques. Coursework or projects in machine learning is a plus. Hands-On Experience: Projects and Internships: Experience in working on projects involving LLMs or NLP tasks. This could include internships, academic projects, hackathons, or personal projects that demonstrate practical experience with LLMs. Use of LLMs: Demonstrated experience in using pre-trained LLMs (such as GPT, BERT, etc.) for various applications. Experience in fine-tuning models for specific tasks or developing applications using LLMs is a plus. Git and Version Control: Familiarity with version control systems like Git for managing code. Soft Skills: Problem-Solving Ability: Strong analytical skills and the ability to solve complex problems independently. Communication Skills: Ability to clearly articulate ideas and collaborate effectively in a team environment. Learning Attitude: A proactive and enthusiastic approach to learning new technologies and methodologies, especially in the rapidly evolving field of GenAI. Preferred Qualifications: Research Experience: Any research experience or publications related to NLP, LLMs, or machine learning. Cloud Computing: Familiarity with cloud platforms (AWS, Azure, Google Cloud) and experience deploying machine learning models on cloud infrastructure. Contributions to Open Source: Contributions to open-source projects, particularly those related to NLP, machine learning, or GenAI. - What is in it for you: Opportunity to work on Live use cases: From day-1 we will involve you in the production use cases across various business verticals like Banking, NBFC, Manufacturing and Insurance etc. Working in high performing environment: We encourage solution mindset colleagues who are having passion for their subject and this time it is your chance to be part of this culture Remuneration, Benefits and Rewards: We ensure that top talent in you is always recognized and you receive all your due credits be it tangible benefits or intangible one. We offer top salaries, time to time recognition and deliverables centric bonuses. More you deliver more you receive back from us Centrally located office with all amenities: Our office is in Thane Wagle Estate area which is fast growing business hub in Mumbai now. We take care of all your essential needs to ensure that you stay focussed on your main objective of solution building Pls send your resume first on talent@idolizesolutions.com . Once we review your profile and select the same, we will contact you for next round of discussion on a mutually convenient time. We generally conduct only 2 rounds of interview same day or few days apart and announce the final decision immediately thereafter. Office Address: Idolize Business Solutions AWFIS Office Space, 2nd Floor, Kalpataru Prime, Road Number 16, Wagle Industrial Estate, Thane West, 400604. Website: www.idolizesolutions.com | Phone: 7021483772 | Email: talent@idolizesolutions.com

Role & responsibilities Role: AI/Research Engineer Were looking for an innovative and hands-on engineer with strong Python development skills and deep experience in Dask for distributed computing. What You’ll Do Design and build scalable data pipelines using Python and Dask Work on cutting-edge AI research problems and prototype solutions Collaborate with data scientists and ML engineers to integrate models into production Optimize performance of large-scale data processing workflows Stay updated with the latest in AI/ML frameworks and data engineering best practices What We’re Looking For 2–20 years of experience in Python development Hands-on experience with Dask (arrays, dataframes, parallel computing) Familiarity with NumPy, Pandas, Scikit-learn, and data visualization tools Experience in AI/ML pipelines or applied research projects Strong problem-solving and analytical skills Experience with cloud platforms (AWS/GCP/Azure) is a plus Work on real-world AI problems across diverse industries A collaborative and learning-driven work culture Opportunities to explore research + product-focused roles Hybrid flexibility and career growth support Preferred candidate profile

Location: Remote / Pan India , Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune, Remote Notice Period: Immediate iSource Services is hiring for one of their client for the position of AI/ML Engineer. About the Role - We are looking for a highly skilled ML Engineer with experience in cutting-edge design patterns and AI-powered applications. The ideal candidate will have a deep understanding of agentic design patterns, multi-modal RAG Systems, and practical product development experience. Design and implement Agentic Design Patterns, such as ReAct and ReWoo, to enhance the functionality and adaptability of AI systems. Utilize LLMCompiler to create efficient and scalable models and leverage LLM as Judge for decision making processes. Develop and optimize Multi-modal RAG systems, integrating diverse data modalities for advanced retrieval-augmented generation. Implement and maintain GraphRAG solutions for enhanced reasoning and contextual information retrieval. Collaborate with cross-functional teams to translate cutting-edge AI research into production-ready solutions. Contribute to the development of scalable and robust AI-powered products. Requirements: Strong knowledge of Agentic Design Patterns (ReAct, ReWoo). Proficiency in LLMCompiler and LLM as Judge methodologies. Experience building Multi-modal RAG and GraphRAG systems. 5+ years of experience in AI/ML development, including practical product development experience. Expertise in Python, machine learning frameworks (e.g., TensorFlow, PyTorch), and large language models (LLMs). Strong problem-solving and analytical skills with a focus on innovation. Preferred Skills: Familiarity with distributed systems and cloud platforms. Experience in data engineering and model optimization. Knowledge of graph databases and advanced information retrieval techniques. ML/AI development, Python Agentic Design Patterns (ReAct, ReWoo). LLMCompiler, LLM as judge. ML models, ML frameworks.

***** GenAI Develope r***** ***** Immediate Joine r***** ***** Pune Hinjewadi ***** We are seeking experienced GenAI Developers to join our team in Pune. As a key member of our AI innovation group, you will be responsible for designing, architecting, and implementing scalable Generative AI solutions leveraging AWS services. You will lead the transformation of existing LLM-based architectures into modern, cloud-native solutions and collaborate with cross-functional teams to deliver cutting-edge AI applications. Key Responsibilities: Design and architect scalable GenAI solutions using AWS Bedrock and other AWS services. Lead the transformation of homegrown LLM-based architecture into a managed cloud-native solution. Provide architectural guidance across components: RAG pipelines, LLM orchestration, vector DB integration, inference workflows, and scalable endpoints. Collaborate closely with GenAI developers, MLOps, and data engineering teams to ensure alignment on implementation. Evaluate, integrate, and benchmark frameworks such as LangChain, Autogen, Haystack, or LlamaIndex. Ensure infrastructure and solutions are secure, scalable, and cost-optimized on AWS. Act as a technical SME and hands-on contributor for architecture reviews and POCs. Must-Have Skills: Deep expertise with AWS Bedrock, S3, Lambda, SageMaker, API Gateway, DynamoDB/Redshift, etc. Proven experience architecting LLM applications with RAG, embeddings, prompt engineering. Hands-on understanding of frameworks like LangChain, LlamaIndex, or Autogen. Knowledge of LLMs like Anthropic Claude, Mistral, Falcon, or custom models. Strong understanding of API design, containerization (Docker), and serverless architecture. Experience leading cloud-native transformations. Preferred: Experience with CI/CD, DevOps integration for ML/AI pipelines. Exposure to AWS, Azure/GCP in GenAI (bonus).

Greeting from Linnk Group Title: AI Lead - Generative AI & Deployment Location: Infopark, Kochi, Kerala Employment Type: Permanent About Us: Linnk Group is a global STEM recruitment and technology consultancy with established entities in the UAE, KSA, Qatar, India, and the UK. We are building AI-first platforms that power intelligent automation across recruitment, sales, and workforce management. Our technology stack includes LLM-based applications, RAG pipelines, CV parsing engines, chatbots, and agentic AI workflows integrated with cloud-native infrastructure. We are looking for a hands-on and experienced Lead AI/ML Engineer to architect, build, and scale our GenAI systems across products. This is a foundational role that will help define the technical direction and lead the implementation of production-grade AI components. Strong proficiency in deep learning and machine learning architectures, including ResNets, AlexNet, DenseNets, RCNNs, Vision Transformers (ViT) , Diffusion Models , and GANs In-depth understanding of Transformers and modern LLM architectures (e.g., LLaMA , Mistral , Qwen , GPT , Claude , BERT ), with a focus on NLP and generative AI . Familiarity with legacy models like RNNs and LSTMs is a plus. Expertise in Machine Learning (ML) and Natural Language Processing (NLP) frameworks such as PyTorch, Tensorflow, Hugging Face Transformers, LangChain . Proven experience designing recommendation systems and LLM-based applications , including RAG pipelines , structured generation, and retrieval systems. Skilled in model performance optimization , including quantization, pruning, latency reduction, and memory-efficient inference. Advanced knowledge of embeddings and vector search using tools like FAISS, Milvus, Pinecone, and Quadrant . Hands-on experience with CI/CD pipelines for ML/LLM workflows (e.g., GitHub Actions, Jenkins). In-depth understanding of MLOps and LLMOps practices including model versioning, deployment automation, drift detection, and continuous monitoring. Familiarity with automated evaluation frameworks. Skilled in Docker, Kubernetes , and building scalable microservices. Demonstrated experience deploying and maintaining ML systems on AWS , including SageMaker, EC2, EKS, RDS, and S3 . Ability to optimize and scale LLM inference endpoints , and orchestrate multi-agent workflows in production environments. Deep understanding of vector databases , semantic search , and dense retrieval techniques for real-time matching. Experience integrating with AI agent frameworks like LangGraph, Haystack, and CrewAI , and building robust RAG pipe

*****GenAI/Architect***** *****Immediate Joiners Preferred**** *****Pune Hinjewadi Phase1***** *****4 days a week***** We are seeking an experienced **GenAI Lead / Architect** to design and implement scalable Generative AI solutions leveraging AWS services. The ideal candidate will lead the transformation of existing LLM-based architectures into efficient, cloud-native platforms, ensuring robust, secure, and cost-effective deployments. Key Responsibilities: Design and architect scalable GenAI solutions using AWS Bedrock and other AWS services. Lead the transformation of homegrown LLM-based architecture into a managed cloud-native solution . Provide architectural guidance across components: RAG pipelines, LLM orchestration, vector DB integration, inference workflows, and scalable endpoints. Collaborate closely with GenAI developers, MLOps, and data engineering teams to ensure alignment on implementation. Evaluate, integrate, and benchmark frameworks such as LangChain, Autogen, Haystack, or LlamaIndex . Ensure infrastructure and solutions are secure, scalable, and cost-optimized on AWS. Act as a technical SME and hands-on contributor for architecture reviews and POCs. Must-Have Skills: Proven experience architecting LLM applications with RAG, embeddings, prompt engineering. Hands-on understanding of frameworks like LangChain , LlamaIndex , or Autogen . Knowledge of LLMs like Anthropic Claude, Mistral, Falcon, or custom models . Strong understanding of API design, containerization (Docker), and serverless architecture. Expertise with AWS Bedrock , S3, Lambda, SageMaker, API Gateway, DynamoDB/Redshift, etc. Experience leading cloud-native transformations. Preferred: AWS Certified Solutions Architect. Experience with CI/CD, DevOps integration for ML/AI pipelines. Exposure to Azure/GCP in GenAI (bonus).

We are looking for a Generative AI Integration Developer to join our client's team and work on cutting-edge AI solutions. The ideal candidate should have hands-on experience with Large Language Models (LLMs) and Foundation Models, integrating them into enterprise applications. Job Title: Generative AI Integration Developer Experience: 7 12 years overall experience including a minimum 3+ years of hands-on experience in AI/ML development, LLM integration, or Generative AI agent development, with a strong focus on prompt engineering and fine-tuning pre-trained models Employment Type: Full-Time Salary: Best in the industry Key Responsibilities: Develop and integrate LLMs (e.g., OpenAI, Claude, Titan) using APIs. Design and build AI-powered interfaces and agents for seamless user interaction. Implement prompt engineering techniques to optimize AI responses. Work on Python-based microservices using Flask, Django, or similar frameworks. Collaborate with cross-functional teams to deploy AI solutions. Monitor and optimize AI performance using analytics tools. Stay updated with the latest trends in Generative AI and NLP. Required Skills: 712 years in software development with at least 3 years in AI/ML, LLM integration, or Generative AI agent development. Proven expertise in prompt engineering and fine-tuning pre-trained models for AI solution development. Hands-on experience integrating LLMs (e.g., OpenAI, Anthropic, Hugging Face) via APIs, with knowledge of model selection, optimization, and deployment. Ability to design AI agents/interfaces and implement RAG systems—especially in projects involving numeric data analysis and response generation. Strong grasp of NLP concepts and experience applying AI to structured/numeric data, including preprocessing, pattern detection, and summarization. Advanced skills in Python with frameworks like FastAPI, Flask, or Django, and experience in building AI microservices and consuming third-party APIs. Ability to design and implement microservices tailored for AI/LLM integration in scalable environments. Practical experience deploying AI on AWS using services like Amazon Bedrock, Lambda, S3, Step Functions, and DynamoDB. Familiarity with CI/CD pipelines, cloud-native deployments, infrastructure automation, and building AI chatbots on cloud platforms. Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related technical field. If you're passionate about AI and want to work on innovative solutions, apply now!

Global AI-ML - Boost Position Purpose The chosen candidate will assume, in close coordination with the Head on the [AI Center of Expertise]; the role of "Senior Data Scientist" participating, along with the whole team, in supporting the business teams in the experimentation and industrialization of innovative projects (AA) i.e. from the POC to project instruction phases and implementation and deployment in the BNPP ITG Cloud infrastructure. Responsibilities As part a full-stack developer in MIND squad, your daily tasks will be: Direct Responsibilities Define the target architecture Design of the associated AI solution to meet user's needs Exchange with the various ITG experts to reach the full understanding of AI landscape (Service offers available, technical and security requirements, guidelines, ) Launch the Proof of Concept if needed to experiment new models, algorithms, technical assets, Launch the industrialization process following ITG guidelines with the help of the project manager (project launching, instruction, ); Support the integration of solutions into the BNPP ITG infrastructure Coordinate the testing new solutions with users Manage the maintenance of the solutions in Production Environment Identify skills needed depending on the characteristics of the project Build the staffing accordingly project by project Identify potential new skills needed and coordinate with Head of CoE to anticipate needed trainings / hirings Transversal and Contributing Responsibilities Contribute to transversal Finance optimization projects Act as a mentor to other team members being Data Scientists or people within the team engaged in an upskilling/reskilling to AI path Acculturate our F&R-Solutions colleagues and our business partners, on AI capabilities helping them getting basic/medium knowledge and enlighten them on its benefits. Act as first point of contacts for local business partners in the collect and first-level assessment of potential AI-eligible needs.Collaborate with Finance counterparts for developing insights and solutions Documentation of applications, maintenance processes and user guides. Participate to the "Ideation" phase used to identify pain points and possible topics eligible to AI Participate to the Identification of potential new skills/competencies needed and alert Head of CoE accordingly. Participate to the technological watch regarding AI at large: new algorithms, new models, new features, in order to propose up-to-date solutions to our portfolio of projects Technical & Behavioral Competencies Candidate must justify relevant experience on following streams: Minimum of 5 years as Team Leader coordinating team (5 people or more) on implementation and maintenance of IT solutions. Strong knowledge and experience in conducting the different phases of a project (requirements, design, implementation, tests, industrialization, ) is required. Also, significant experience on Agile is needed, especially Scrum methodology. Minimum of 2 years on AI projects having had the opportunity to work on a variety of topics: Machine Learning, NLG, NLP, LLM, MLLM, IDP, OCR, ... pushing those topics to Production environment validating industrialized phase. Following skills are required: Technically On below listed areas (Machine Learning, NLG, NLP, LLM, MLLM, ...) Knowledge of algorithms/models Ability to train/finetune a model Transversally Python coding Domino platform Understand the BNPP Technical Context Structuring application following "DevOps" guidelines allowing industrialization and scale-up Take ownership and use the services offered by the Group Ability to collaborate / teamwork Be customer oriented Be results oriented Ability to analyze Critical thinking Ability to anticipate business / strategic changes Ability to understand, explain and lead change Creativity & Innovation / Ability to solve problems Ability to define relevant performance indicators Specific Qualifications (if required) Candidate must have a Master degree in Computer Science or Data Engineering or Data Science. 5+ years experience required Skills Referential Behavioural Skills : (Please select up to 4 skills) Ability to collaborate / Teamwork Client focused Adaptability Creativity & Innovation / Problem solving Transversal Skills: (Please select up to 5 skills) Ability to understand, explain and support change Analytical Ability Ability to anticipate business / strategic evolution Ability to develop and adapt a process Education Level: Master Degree or equivalent Experience Level At least 5 years

About Role We are seeking a highly skilled AI/ML Engineer to join our team and drive the implementation of cutting-edge ML solutions. The ideal candidate will have extensive experience in developing and deploying advanced GenAI applications, techniques and models. Key Responsibilities: 1. Advanced RAG Implementation o Identify the most appropriate chunking techniques for a use case to maximize RAGs accuracy o Evaluate and implement different retrieval optimisation techniques depending on data & use case requirements o Apply RAG solutions to real-world use cases, ensuring practical applicability 2. LLM Fine-tuning and Optimization o Fine-tune Large Language Models (LLMs) for specific domain use cases o Work on creating the data & format required for fine tuning 3. AI Solution Development o Design and implement advanced AI solutions, including intent classification, sequential modeling, and semantic search o Work with vector databases & frameworks like LangChain to build LLMpowered applications 4. Model Evaluation and Improvement o Create robust evaluation benchmarks to assess model performance o Continuously research and propose innovative methods to enhance AI solution performance 5. Technical Leadership and Collaboration o Stay up-to-date with the latest developments in GenAI and share knowledge with the team o Collaborate with cross-functional teams to integrate AI solutions into production systems Requirements: 2 years+ experience in Machine Learning and Natural Language Processing Hands-on experience with PyTorch, Hugging Face Transformers, and other relevant libraries Proven track record of implementing RAG systems for real-world use cases Experience in fine-tuning and optimizing large language models Proficiency in Python and software engineering best practices Familiarity with vector databases and embedding techniques Strong problem-solving skills and attention to detail Passion for staying current with the latest GenAI developments

Job Description: Join our team as a Generative AI Architect in the AI Practice! We are looking for a visionary individual to lead the design, development, and deployment of cutting-edge Generative AI solutions, driving business value across our products and services. Key Responsibilities: Lead generative AI initiatives in text, ASR, TTS & STT generation and develop AI pipelines and ML models. Design scalable AI systems using state-of-the-art generative models like LLMs and diffusion models. - Collaborate with cross-functional teams to integrate generative AI into business workflows. - Define best practices for model lifecycle management, focusing on data preparation, training, evaluation, deployment, and monitoring. - Guide ethical AI development with a focus on fairness, interpretability, and compliance. Qualifications: - Bachelors or Masters degree in Computer Science or related field. - 7+ years of AI/ML development experience, with 2+ years in generative AI. - Hands-on experience with large language models and diffusion models. - Strong proficiency in Python and ML frameworks. - Experience with Azure, GCP, and containerization. - Familiarity with AI architecture patterns and model fine-tuning. - Knowledge of data privacy laws and AI ethics principles. Preferred: - Experience deploying GenAI applications in production. - Knowledge of vector databases and retrieval-augmented generation. - Experience with CI/CD pipelines for ML.

Job Title: AI ML Engineer Job Summary: We are looking for a passionate and innovative AI/ML Engineer LLM & NLP with strong expertise in artificial intelligence, natural language processing (NLP), and large language models (LLMs). The focus is on crafting, optimizing, and scaling AI-driven interactions that improve system performance, enhance user experience, and deliver measurable business value across a variety of applications. Key Responsibilities: Design, test, and refine prompts to optimize performance of LLMs such as GPT-4, Claude, Gemini, and open-source models. Collaborate with cross-functional teams (product, design, engineering, marketing) to develop AI-driven features and tools. Conduct experiments and evaluate to test the accuracy, safety, and quality of AI-generated outputs, learning best practices along the way. Automate prompt workflows and integrate prompt chains with APIs and tool stacks. Fine-tune models or build retrieval-augmented generation (RAG) pipelines when needed. Stay curious and keep learning about the latest advancements in generative AI, NLP, and prompt engineering through hands-on practice and research Contribute to building internal documentation, prompt templates and reusable libraries. Required Skills & Qualifications: Bachelor’s degree in computer science. 2 years of experience working with LLMs, AI systems, NLP frameworks. Strong understanding of transformer models and training. Experience using OpenAI (ChatGPT, GPT API), Anthropic, Cohere, Hugging Face, or similar platforms. Strong proficiency in Python, with hands-on experience using leading AI frameworks and libraries such as LangChain, LlamaIndex, and others commonly used in LLM and NLP development. Background in UX, technical writing, or content design is a plus.

Use GPT API or Llama to develop custom frameworks for investment management alternate data analysis Use Orchestration tools like N8n for document ingestion Setup on cloud or private using Coreweave Lead Machine Learning and UI Engineers Required Candidate profile 3+ years of development experience in .NET , Python and Azure 3+ years of experience in Data Science along with hands on GenAI and LLMs Experience with VectorDB, documentation ingestion workflows etc.

Bachelors, M.S. (preferred) or Ph.D. (preferred) in Data Science, Computer Science, Electrical Engineering, Biomedical Engineering, Applied Optics, or related quantitative fields. Lead the design and development of generative AI models for new product development, particularly leveraging LLM and LMM AI models. Proven experience in applying generative AI, LLMs, and multi-modal models to solve real-world problems in the medical device industry or equivalent industry and/or academic experience. Demonstrable expertise in algorithm development, including, coding, algorithm testing, algorithm validation, and software development for Medical Device. Utilize tools such as AWS Bedrock, Azure AI Studio, and other cloud-based platforms to deploy, manage, and optimize AI models. Apply advanced data science techniques, including natural language processing (NLP), computer vision, and machine learning, to solve complex problems and enhance product functionality. Exceptional written and verbal communication skills and proven ability to collaborate effectively with multidisciplinary project teams is highly desirable. Minimum Requirements: Bachelor's Degree or equivalent The ability to fluently read, write, understand and communicate in English. Proficiency in Python programming and data science libraries (e.g., NumPy, Pandas, Scikit-learn, TensorFlow/PyTorch). At least 3 years of hands-on working experience in applying AI/ML methods for real-world problem solving in the medical device industry or equivalent industry experience.

* Strong programming skills in Python, including knowledge of libraries like NumPy, Pandas, Matplotlib, and Seaborn. * Proficiency in AI/ML frameworks: scikit-learn, TensorFlow, Keras, or PyTorch. *LLM

Role Overview We are seeking a highly skilled AI Engineer with 8-12 years of experience to lead the development of Generative AI (GenAI) and Machine learning solutions for internal projects. This role requires a self-driven leader with exceptional communication, strategic thinking, and expertise in data analytics and visualization to deliver innovative GenAI tools tailored to internal team needs while driving cross-functional collaboration. Key Responsibilities - GenAI Development: Design and develop advanced GenAI models (e.g., LLMs, DALL E models) and AI Agents to automate internal tasks and workflows. Exposure to LLMs: Utilize Azure Open AI APIs, experience on models like GPT4o, O3 , llama3 Enhance the existing RAG based application: In depth understanding of stages of RAG - chunking, retrieval etc. - Cloud Deployment: Deploy and scale GenAI solutions on Azure Cloud services (e.g., Azure Function App) for optimal performance. In depth understanding of ML models like linear regression, random forest, decision trees. In depth understanding on clustering and supervised models. - AI Agent Development: Build AI agents using frameworks like LangChain to streamline internal processes and boost efficiency. - Data Analytics: Perform advanced data analytics to preprocess datasets, evaluate model performance, and derive actionable insights for GenAI solutions. - Data Visualization: Create compelling visualizations (e.g., dashboards, charts) to communicate model outputs, performance metrics, and business insights to stakeholders. Stakeholder Collaboration: Partner with departments to gather requirements, align on goals, and present technical solutions and insights effectively to non-technical stakeholders. - Model Optimization: Fine-tune GenAI models for efficiency and accuracy using techniques like prompt engineering, quantization, and RAG (Retrieval-Augmented Generation). LLMOps Best Practices: Implement GenAI-specific MLOps, including CI/CD pipelines (Git, Azure DevOps) - Leadership: Guide cross-functional teams, mentor junior engineers, and drive project execution with strategic vision and ownership. Helicopters, strategic Thinking**: Develop innovative GenAI strategies to address business challenges, leveraging data insights to align solutions with organizational goals. - Self-Driven Execution: Independently lead projects to completion with minimal supervision, proactively resolving challenges and seeking collaboration when needed. - Continuous Learning: Stay ahead of GenAI, analytics, and visualization advancements, self-learning new techniques to enhance project outcomes. Required Skills & Experience - Experience: 8-12 years in AI/ML development, with at least 4 years focused on Generative AI and AI agent frameworks. - Education: BTech/BE in Computer Science, Engineering, or equivalent (Masters or PhD in AI/ML is a plus). - Programming: Expert-level Python proficiency, with deep expertise in GenAI libraries (e.g., LangChain, Hugging Face Transformers, PyTorch, Open AI SDK) and data analytics libraries (e.g., Pandas, NumPy), sk-learn. Mac - Data Analytics: Strong experience in data preprocessing, statistical analysis, and model evaluation to support GenAI development and business insights. - Data Visualization: Proficiency in visualization tools (e.g., Matplotlib, Seaborn, Plotly, Power BI, or Tableau) to create dashboards and reports for stakeholders. - Azure Cloud Expertise: Strong experience with Azure Cloud services (e.g., Azure Function App, Azure ML, serverless) for model training and deployment. - GenAI Methodologies: Deep expertise in LLMs, AI agent frameworks, prompt engineering, and RAG for internal workflow automation. - Deployment: Proficiency in Docker, Kubernetes, and CI/CD pipelines (e.g., Azure DevOps, GitHub Actions) for production-grade GenAI systems. - LLMOps: Expertise in GenAI MLOps, including experiment tracking (e.g., Weights & Biases), automated evaluation metrics (e.g., BLEU, ROUGE), and monitoring. Soft Skills: - Communication: Exceptional verbal and written skills to articulate complex GenAI concepts, analytics, and visualizations to technical and non-technical stakeholders. - Strategic Thinking: Ability to align AI solutions with business objectives, using data-driven insights to anticipate challenges and propose long-term strategies. - Problem-Solving: Strong analytical skills with a proactive, self-starter mindset to independently resolve complex issues. - Collaboration: Collaborative mindset to work effectively across departments and engage colleagues for solutions when needed. Preferred Skills - Experience deploying GenAI models in production environments, preferably on Azure Familiarity with multi-agent systems, reinforcement learning, or distributed training (e.g., DeepSpeek). - Knowledge of DevOps practices, including Git, CI/CD, and infrastructure-as-code. Advanced data analytics techniques (e.g., time-series analysis, A/B testing) for GenAI applications. - Experience with interactive visualization frameworks (e.g., Dash, Streamlit) for real-time dashboards. - Contributions to GenAI or data analytics open-source projects or publications in NLP, generative modeling, or data scien

Curious about the role ? Generative AI & NLP Development : Design, develop, and deploy advanced applications and solutions using Generative AI models (e.g., GPT, LLaMA, Mistral) and NLP algorithms to solve business challenges and unlock new opportunities for our clients. Model Customization & Fine-Tuning: Apply state-of-the-art techniques like LoRA, PEFT, and fine-tuning of large language models to adapt solutions to specific use cases, ensuring high relevance and impact. Innovative Problem Solving : Leverage advanced AI methodologies to tackle real-world business problems, providing creative and scalable AI-powered solutions that drive measurable results. Data-Driven Insights: Conduct deep analysis of large datasets, uncovering insights and trends that guide decisionmaking, improve operational efficiencies, and fuel innovation. Cross-Functional Collaboration: Work closely with Consulting, Engineering, and other teams to integrate AI solutions into broader business strategies, ensuring the seamless deployment of AI-powered applications. Client Engagement: Collaborate with clients to understand their unique business needs, provide tailored AI solutions, and educate them on the potential of Generative AI to drive business transformation. What do we expect? Generative AI & NLP Expertise: Extensive experience in developing and deploying Generative AI applications and NLP frameworks, with hands-on knowledge of LLM fine-tuning, model customization, and AI-powered automation. Hands-On Data Science Experience: 6+ years of experience in data science, with a proven ability to build and operationalize machine learning and NLP models in real-world environments. AI Innovation: Deep knowledge of the latest developments in Generative AI and NLP, with a passion for experimenting with cutting-edge research and incorporating it into practical solutions. Problem-Solving Mindset: Strong analytical skills and a solution-oriented approach to applying data science techniques to complex business problems. Communication Skills: Exceptional ability to translate technical AI concepts into business insights and recommendations for non-technical stakeholders.

About this role: Wells Fargo is seeking a Lead Software Engineer to provide product support and drive the evolution of Artificial Intelligence (AI) enabled applications aligned to employee-facing lines of business in Enterprise Functions Technology (EFT). The EFT AI team will focus on building intelligent, efficient, and user-centric tools to accelerate the work of users in Finance, Human Resources, Risk, Audit, Legal, Public Affairs, Diverse Segments and EFT Platform Technology. In addition to hands-on development, this role will play a key part in evolving the operating model to provide both vertical (product specific) and horizontal (cross product/platform) support. Your work will directly align with Wells Fargos mission to innovate and enhance the employee experience using advanced technology. The successful candidate will be able to build and maintain reliable, secure, and scalable AI solutions that improve employee workflows and enable seamless system integrations. As a key technical contributor, you will collaborate with cross-functional teams to align solutions with the mission of transforming the Wells Fargo employee experience. In this role, you will: Build Large Language Model (LLM) powered applications that support powerful capabilities for internal Wells Fargo users, with a focus on agentic workflows, prompt engineering, evaluations, model feedback and tuning mechanisms, and safety guardrails. Build systems utilizing Large Language Models (LLM) involving data ingestion pipelines, reliable service orchestration, backend application state management, and data layer implementation. Review and analyze complex, large-scale technology solutions for tactical and strategic business objectives and technical challenges that require in-depth evaluation of multiple factors, including intangibles or unprecedented technical factors. Provide engineering support for AI driven solutions that enhance and streamline work processes, ensuring reliable, secure, and scalable applications aligned with business priorities. Act as a thought leader in developing standards and enterprise best practices for engineering complex and large-scale technology solutions for technology engineering disciplines. Design, code, test, and document solutions that align with both product specific and enterprise-wide goals. Lead the development of frameworks and solutions that provide both vertical support to specific business-aligned products and horizontal capabilities that can scale across multiple platforms. Collaborate and consult with key technical experts, senior technology teams, and external industry groups to resolve complex technical issues and achieve goals. Lead projects, teams, and service as a peer mentor. Stay current on emerging technologies in AI to continue to the strategy discussion for future capability development. Required Qualifications: 5+ years of Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education 5+ years of engineering experience building and supporting large scale customer facing products using modern technologies. 2+ years building and delivering products using AI technologies. Desired Qualifications: Experience in backend application software development, with ability to quickly adapt to C# and Python code bases. Strong understanding of Retrieval-Augmented Generation (RAG), prompt engineering and agentic workflows. Deep knowledge of implementing guardrails and advanced techniques for query enrichment and re-writing Expertise in test or eval driven development including data and error analysis ensuring robust and scalable AI software. Experience architecting and implementing agentic frameworks for autonomous multi-step reasoning and planning Solid grasp of parsing, chunking, indexing and re-ranking of multiple file formats Experience with Generative AI Operations, and enterprise-scale AI adoption strategies. Familiarity with enterprise-scale software systems and their integration within large organizations. Experience in enterprise AI model lifecycle management, AI compliance, and risk mitigation strategies. Strong understanding of human centered AI design for workplace applications. Proven ability to work across multiple teams and functions to drive alignment and execution. Demonstrated success in designing usability and delivering seamless user experience. Excellent collaboration, communication, and problem-solving skills. Job Expectations: Be Humble: You're smart yet always interested in learning from others Work Transparently: You always deal in an honest, direct, and transparent way. Take Ownership: You embrace responsibility and find joy in having the answers Learn More: You regularly self-educate and improve your skill set. Show Gratitude: You show appreciation and respect to those you work with.