209 Langchain Jobs - Page 2

Gen AI+AWS Skill-Gen AI,AWS,AI Platform,Python,Tensorflow,Langchain,LLM Model,ML Development, AWS Lambda,AWS Bedrock,Data Extraction Exp-4-12YRS In Gen AI AWS PKG Upto-25LPA Loc-Bang, Pune NP-Imm-30Days Ritika-8587970773 ritikab.imaginators@gmail.com Required Candidate profile Gen AI + AWS Mandatory Skill-Gen AI, AWS,AI Platform, Python, Tensor flow, Lang chain, LLM Model, ML Development, AWS Lambda, AWS Bedrock, AWS AI, Data Extraction, GEN AI Solution, RPA Tool

Role & responsibilities: Work collaboratively with product and business teams to understand requirements Design and develop AI prototypes using LLMs such as Claude and GPT including AI Agents Implement solutions with frameworks like LangChain and other open-source tools Build end-to-end AI pipelines that integrate with existing systems Evaluate appropriate models and technologies for different use cases Document prototype architecture, performance, and learnings for handoff to product / engineering teams. Stay up to date with the latest AI research, libraries, and tools to enable experimentation. Required Qualifications: Bachelor's Degree in Computer Science, Engineering, or related technical field 3+ years of software development experience 1+ years of experience working with LLMs and AI frameworks Strong proficiency in Python and relevant AI/ML libraries Experience with LLM Orchestration frameworks (LangChain, LlamaIndex, etc.) Knowledge of prompt engineering techniques Understanding of vector databases and retrieval approaches Strong problem-solving skills and attention to detail Comfort with ambiguity and an iterative, fast-paced environment.

Responsibilities: * Design and implement AI solutions using GML, Neo4J, ArangoDB, LangChain, LLamaIndex, RAG. * Collaborate with cross-functional teams on ML projects with Python, PySpark, Pytorch, R, SQL.

Role - AI/ ML Engineer Location - Gurugram We are seeking a highly skilled and innovative AI Data Engineer to join our Development team. In this role, you will design, develop, and deploy AI systems that can generate content, reason autonomously, and act as intelligent agents in dynamic environments. Key Responsibilities • Design and implement generative AI models (e.g., LLMs, diffusion models) for text, image, audio, or multimodal content generation. • Develop agentic AI systems capable of autonomous decision-making, planning, and tool use in complex environments. • Integrate AI agents with APIs, databases, and external tools to enable real-world task execution. • Fine-tune foundation models for domain-specific applications using techniques like RLHF, prompt engineering, and retrieval-augmented generation (RAG). • Collaborate with cross-functional teams including product, design, and engineering to bring AI-powered features to production. • Conduct research and stay up to date with the latest advancements in generative and agentic AI. • Ensure ethical, safe, and responsible AI development practices. Required Qualifications Bachelors or Master’s degree in Computer Science, AI, Machine Learning, or a related field. • 3+ years of experience in machine learning, with a focus on generative models or autonomous agents. • Proficiency in Python and ML frameworks such as PyTorch • Experience with LLMs (e.g., GPT, Claude, LLaMA, Cortex), transformers, and diffusion models. • Familiarity with agent frameworks (e.g., LangChain, AutoGPT, ReAct, OpenAgents). • Experience with AWS and Snowflake services • Prior Healthcare experience • Strong understanding of reinforcement learning, planning algorithms, and multi-agent systems. • Excellent problem-solving and communication skills.

Job Title: Python Developer (3+ Years Experience) Lang Chain Specialist Location: Noida Sector 62 Job Type: Full-time Experience Required: 3+ Years Job Summary: We are looking for a skilled and proactive Python Developer with over 3 years of experience, including strong expertise in the Lang Chain Framework and LLM-based application development. The ideal candidate will be responsible for designing, developing, and deploying scalable applications using modern Python frameworks and AI/ML tools. This role involves working on cutting-edge projects in the field of conversational AI, automation, and intelligent systems. Key Responsibilities: Design and develop robust backend services and APIs using Python Build and deploy applications that integrate with Lang Chain and large language models (LLMs) like OpenAI, Cohere, Anthropic, etc. Develop custom chains, agents, and memory structures using the Lang Chain framework. Work with vector databases (e.g., FAISS, Pinecone, and Chroma) for retrieval-augmented generation (RAG) tasks. Integratee third-party APIs and tools as required for application development. Collaborate with data scientists, product managers, and UI developers to create cohesive solutions. Optimize application performance and troubleshoot issues in existing code. Stay updated with the latest advancements in LLMs, Lang Chain, and AI-based toolkits. Required Skills: • 3+ years of hands-on Python development experience. Strong experience in the Lang Chain framework and building LLM-powered applications. Familiarity with prompt engineering, agent design, and tool integration. Experience with REST APIs, Fast API, or Flask. Working knowledge of vector databases (e.g., FAISS, Pinecone). Proficiency in Git, Docker, and deployment processes. Understanding of cloud platforms (AWS, Azure, or GCP) is a plus. Excellent problem-solving skills and ability to work independently.

Essential Skills: Machine Learning & Deep Learning: Solid understanding of ML concepts and hands-on experience with deep learning (especially neural networks and Transformers). Python Programming: Strong Python coding skills with familiarity in frameworks like TensorFlow, PyTorch, or Keras. Natural Language Processing (NLP): Experience with tokenization, embeddings, and language model fine-tuning. Data Engineering: Ability to clean, process, and manage large datasets with a focus on data quality. Math & Statistics: Good knowledge of linear algebra, calculus, probability, and statistics. Preferred Additional Skills: Model Deployment (MLOps): Exposure to deploying models using Docker, APIs, CI/CD, and tools like MLflow or Hugging Face Hub. RAG & LLM Integration: Hands-on with FAISS, LangChain, embedding models, and large language models. Prompt Engineering: Skilled in designing prompts and evaluating AI output quality. System Scalability: Understanding of GPU optimization and AI system performance.

We have a requirement on Agentic AI for one of our clients for contract to Hire role. Skills: Agentic AI Location:PAN INDIA Job type: Contract to Hire Grade : C1/C2 Experience in agent frameworks atleast one of the below: CrewAI LangChain agents Autogen AutoGPT / OpenAgents Understand agent roles, memory, planning, and tools .Experience with: Prompt engineering (few-shot, chain-of-thought, tool-calling) Fine-tuning or RAG (Retrieval-Augmented Generation) Model selection and deployment (local vs API-based) Vector databases (e.g., Pinecone, Weaviate, Chroma) Tool execution environments (e.g., LangChain tools, custom wrappers) Awareness of model limitations, hallucinations, and how to mitigate them. Full-Stack Engineering Proficiency Ability to build end-to-end systems : frontend + backend + infra. Fluency in: Python (especially for AI orchestration) TypeScript/React (for building UIs around agents) REST/GraphQL APIs Comfortable integrating models via APIs (OpenAI, Anthropic, HuggingFace). Rapid Prototyping & Iteration Able to build, test, and iterate on: Agent workflows Tooling pipelines UI/UX for human-agent interaction Familiarity with hacky proof-of-concept workflows and productionizing them. Product & Systems Thinking Strong sense of product intuition : what to build and why. Thinks in terms of goals, user outcomes, system feedback loops , not just features. Able to define and track success metrics for agentic systems

Job Overview: We are seeking an experienced and passionate Technical Manager/Lead to spearhead our cutting-edge AI initiatives including Phoenix Ask , Phoenix Report Writer , and upcoming AI-powered features. This role will lead a team of 5 Senior Developers focused on developing, deploying, and maintaining advanced AI capabilities using state-of-the-art models and technologies. Key Responsibilities: Lead the design, development, and deployment of scalable AI features and tools. Manage and mentor a team of senior AI developers. Collaborate with cross-functional teams (Product, UX, DevOps) to deliver commercial-ready AI features. Architect AI-driven solutions using modern frameworks and cloud platforms. Ensure best practices in model selection, prompt engineering, fine-tuning, and evaluation. Deploy AI applications using Azure Foundry , AWS Bedrock , and similar platforms. Oversee integration of models like GPT-4o , GPT-o3 , Claude , and LLaMA into business products. Maintain robust documentation and ensure product scalability and performance. Required Skills & Experience: 5+ years of experience in AI/ML development with at least 2 years in a leadership role . Strong expertise in Langchain , Pydantic , and FastAPI . Experience working with MCP (Modular Code Platforms or Microsoft Cloud Platform clarify as needed). Proven hands-on experience with deploying models like GPT-4o, GPT-o3, Claude, LLaMA . Solid understanding of AI model training , fine-tuning , and industry-standard tools . Strong deployment experience on Azure Foundry and AWS Bedrock or equivalent cloud services. Ability to manage sprints, code reviews, and project delivery timelines. Preferred Qualifications: Master's/Bachelors degree in Computer Science, Artificial Intelligence, or related field. Experience in integrating AI with enterprise systems. Prior work on generative AI or natural language applications.

Role - AI/ ML Engineer Location - Bangalore We are seeking a highly skilled and innovative AI Data Engineer to join our Development team. In this role, you will design, develop, and deploy AI systems that can generate content, reason autonomously, and act as intelligent agents in dynamic environments. Key Responsibilities Design and implement generative AI models (e.g., LLMs, diffusion models) for text, image, audio, or multimodal content generation. Develop agentic AI systems capable of autonomous decision-making, planning, and tool use in complex environments. Integrate AI agents with APIs, databases, and external tools to enable real-world task execution. Fine-tune foundation models for domain-specific applications using techniques like RLHF, prompt engineering, and retrieval-augmented generation (RAG). Collaborate with cross-functional teams including product, design, and engineering to bring AI-powered features to production. Conduct research and stay up to date with the latest advancements in generative and agentic AI. Ensure ethical, safe, and responsible AI development practices. Required Qualifications Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or a related field. 3+ years of experience in machine learning, with a focus on generative models or autonomous agents. Proficiency in Python and ML frameworks such as PyTorch Experience with LLMs (e.g., GPT, Claude, LLaMA, Cortex), transformers, and diffusion models. Familiarity with agent frameworks (e.g., LangChain, AutoGPT, ReAct, OpenAgents). Experience with AWS and Snowflake services Prior Healthcare experience Strong understanding of reinforcement learning, planning algorithms, and multi-agent systems. Excellent problem-solving and communication skills.

We are seeking a highly skilled Generative AI Consulting Director to join our dynamic team, where they will lead our consulting team, manage the delivery of consulting services, guide clients through the implementation of our Gen AI platform, and ensure the successful adoption of the platform across industries. Key Responsibilities: Lead or mentor a global team of AI consultants, solution architects, and professional services teams. Develop and execute the strategy for consulting and professional services for the Gen AI platform. Manage the end-to-end Implementation our platform in client environments, ensuring high quality implementations, on time delivery, and alignment with customer expectations. Work closely with clients to understand their business challenges and design tailored solutions using the Gen AI platform. Lead the development of solution architectures, ensuring that proposed solutions are scalable, innovative, and aligned with the client's objectives. Collaborate with product development, GTM, and engineering teams to ensure successful implementation and integrations. Provide feedback to product teams based on client needs and market trends to continuously improve the platforms offerings. Drive client success by ensuring that Gen AI platform implementation deliver measurable value and return on investment (ROI). Work closely with clients to define successful metrics, track project outcomes, and guide the optimization of AI models and systems post-implementation. Manage P&L for the Consulting and Professional Services division, ensuring profitability through effective project management, cost control, and client retention. Develop and implement strategies to drive revenue growth within the professional services arm. Ethical and Responsible AI: Adhere to ethical AI practices, such as fairness, transparency, and accountability. Address biases and potential risks associated with AI systems to ensure responsible deployment and usage. Research and Innovation: Stay updated with the latest advancements in AI technologies, frameworks, and algorithms. Conduct research and experimentation to explore innovative approaches and techniques that can enhance AI capabilities. Mandatory Qualifications/Skills: A bachelors or masters degree, or equivalent, in computer science, Artificial Intelligence, or a related field. 15+ years of experience in consulting or professional services, with at least 5 years in a leadership role overseeing a team of AI consultants or solution architects Extensive experience in delivering Generative AI solutions and familiarity with AI platforms, including knowledge of NLP, deep learning, and reinforcement learning. Experience with large language models (LLMs) and prompt engineering. Solid understanding of various fine-tuning techniques like full fine tuning, PEFT techniques like LoRA, QLoRA and the strategy to adopt for various use cases Proficiency in languages such as Python, Scala, or Java In depth knowledge of both relational databases (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., Vector databases, MongoDB, Cassandra etc). Expertise in Gen AI/AI libraries / frameworks, including but not limited to LangChain, LangGraph, LangSmith, TensorFlow, PyTorch, scikit and Keras Proven understanding of cloud computing platforms (e.g., AWS, Azure, Google Cloud) and experience deploying AI models on these platforms. Proven experience in managing client relationships and understanding their business needs to deliver successful AI solutions. Strong understanding of AI systems architecture and the ability to design and implement complex AI solutions for clients across various industries. Experience with project management methodologies, and a proven ability to manage large, complex projects to successful completion. Excellent leadership, mentoring, and team building skills, with a track record of developing high performing teams. Strong business acumen, with the ability to balance technical expertise with client centric decision making. Outstanding communication and presentation skills, capable of engaging with senior executives and non-technical stakeholders. Strong problem solving and analytical skills, with the ability to think creatively and provide innovative solutions Preferred Skills: Knowledge of NVIDIA CUDA, cuDNN, TensorRT, and experience with NVIDIA GPU hardware and the software stack. Familiarity with High Performance Computing (HPC) and their integration of AI workloads. Familiarity with Big Data platforms and technologies, such as Hadoop or Apache Spark and their integration with AI solutions.

Were Hiring | AI Data Analyst (8+ Years, Tech Lead Level) Location: Mahape, Navi Mumbai (Hybrid Work from Office) Joining: Immediate Joiners Preferred Role Overview We are looking for an experienced AI Data Analyst with 8+ years of professional experience, including leadership in tech projects. The ideal candidate should have strong expertise in Python , Machine Learning , AI APIs , and Large Language Models (LLMs) . Youll work on cutting-edge AI solutions, including vector-based search and data-driven business insights. Experience Must Include 2+ year of hands-on experience as a Data Analyst 1+ year of practical experience with AI systems (LLMs, AI APIs, or vector-based search) 2+ years of experience working with Machine Learning models/solutions 5+ years of hands-on Python programming Exposure to vector databases (e.g., pgvector, ChromaDB) is a plus Key Responsibilities Perform data exploration, profiling, and cleaning of large datasets Design, build, and evaluate ML and AI models to solve real-world problems Leverage LLM APIs, foundation models, and vector databases to deliver AI-driven insights Build end-to-end ML pipelines from preprocessing to deployment Create dashboards and visualizations for reporting and analysis Analyze model outputs and provide actionable insights to stakeholders Collaborate with engineering, product, and business teams to scale AI solutions Required Technical Skills Data Analysis Experience with real-world datasets, EDA, and data wrangling Visualization using Pandas, Seaborn, Plotly Machine Learning & AI Practical experience in classification, regression, clustering techniques Experience with Generative AI, LLMs, OpenAI/Hugging Face APIs, vector search Knowledge of RAG architecture and modern AI design patterns Skilled in model evaluation and hyperparameter tuning Programming & Tools Proficiency in Python (5+ years), with strong use of scikit-learn, NumPy, Pandas Expertise in SQL/PostgreSQL Hands-on experience with vector databases like pgvector, ChromaDB Familiarity with LLMs, embeddings, and foundation models Exposure to cloud platforms (AWS/SageMaker), Git, REST APIs, and Linux Nice to Have Experience with Scrapy, SpaCy, or OpenCV Knowledge of MLOps, model deployment, CI/CD pipelines Familiarity with PyTorch or TensorFlow Soft Skills Strong analytical thinking and problem-solving abilities Excellent verbal and written communication Self-motivated, proactive, and a great team player To Apply: Send your resume to [Insert Email] or apply via kajal.uklekar@arrkgroup.com Lets shape the future of AI together! Thanks & Regards, Kajal Uklekar Arrk Group Senior Manager-Talent Acquisition www.arrkgroup.com

About the Job : The Digital workforce team is part of Red Hats Data and AI organization. The team is focused on building and delivering strategic AI agents designed to augment human capabilities, accelerate workflows, and scale operations across the enterprise. In this role, you will work as a member of a highly dynamic, and fast-paced team. As part of the development team, youll need to be creative, motivated, and proficient in architecting and designing cutting-edge applications that leverage Generative AI. You will work closely with different teams, stakeholders, product owners, and program managers to design, document, and develop solutions. We are seeking talented engineers to spearhead the technology and design of key components within Red Hat's Digital Workforce, shaping the future of digital agents. The ideal candidate will possess strong technical abilities, a commitment to quality and open source, a drive for innovation, excellent communication and teamwork skills, and will excel in a dynamic, startup-like setting. What will you do? Architect, design, document, and develop applications in Python and frameworks like LangChain, LangGraph, LLamaStack. Architect and lead the implementation of Agentic AI applications. Architect and lead the implementation of scalable open-source solutions with distributed computing capabilities using Machine Learning models, running on OpenShift AI Architect and design new features with RAG, RAFT, GraphRAG, InstructLab, and their pipelines Develop and optimize retrieval-augmented generation (RAG) pipelines Collaborate with product owners, program managers, different teams, and engineering managers to analyze and clarify business requirements to implement data models and business logic Mentor, influence, and coach a distributed team of engineers Effectively communicate to stakeholders and project team members to ensure proper visibility of development efforts Review code merge requests from other team members for new features Build and deploy applications to Red Hat OpenShift Platform-as-a-Service (PaaS), public clouds, i.e., Google Cloud Platform, AWS, etc. Ensure non-functional requirements, including performance, scalability, resiliency, maintainability, security, etc., are met according to defined standards Resolve bugs, performance problems, and other issues with production applications What will you bring? Strong experience in a software engineering role Bachelor's degree in Computer Science, Computer Engineering or related field 10+ years of professional coding, at least a year using Python Excellent communication skills, solid written and verbal communication skills in English; ability to communicate effectively in a global team Problem-solving and troubleshooting skills including performing root cause analysis Understanding of web application infrastructure and fundamentals like REST and HTTP Understanding of public cloud concepts and development practices Knowledge of Distributed Systems Experience with LangGraph, LangChain, Autogen and/or Python/ Java-based AI libraries for GenAI applications Experience with continuous delivery (CD) like to build and deploy pipelines like Jenkins, Platform-as-a-Service (PaaS) like OpenShift/Kubernetes Presentations skills and public speaking skills for conferences and demos Enjoys solving challenging problems and working with emerging technologies The following are considered a plus: Experience with AI Agentic frameworks Experience with MCP servers Experience working with LLMs Experience in building Chatbots with Slack Personal qualities and communication: Communicate and influence for impact by bringing data to life via clear narratives and/or storytelling Communication skills and experience in interacting with cross functional business and engineering teams Capability in undertaking business needs analysis in direct consultation. Be a self-starter, displaying initiative in seeing needs, building functionality and leading insights for organizational change. Capability to develop a detailed understanding of our business requirements. Excellent communication, presentation, and writing skills.

Job Insights: 1. Develop and maintain AI models from inception to deployment, including data collection, analysis, feature engineering, model development, evaluation, and monitoring. 2. Identify areas for model improvement through independent research and analysis, and develop recommendations for updates and enhancements. 3. Working with expert colleagues and business representatives to examine the results and keep models grounded in reality. 4. Documenting each step of the development and informing decision makers by presenting them options and results. 5. Ensure the integrity and security of data. 6. Provide support for production models delivered by the Mumbai team but potentially as well for other models to any of the Asian/EU/US time zones. Qualifications: 1. Bachelors / Master / PhD degree in Computer Science / Data Science / Mathematics / Statistics / relevant STEM field. 2. Knowledge of key concepts in Statistics and Mathematics such as Statistical methods for Machine learning, Probability Theory and Linear Algebra. 3. Experience with Machine Learning & Deep Learning concepts including data representations, neural network architectures, custom loss functions. 4. Proven track record of building AI model from scratch or finetuning on large models for Tabular or/and Textual data. 5. Programming skills in Python and knowledge of common numerical and machine-learning packages (like NumPy, scikit-learn, pandas, PyTorch, transformers, langchain). 6. Ability to write clear and concise code in python. 7. Intellectually curious and willing to learn challenging concepts daily. 8. Knowledge of current Machine Learning/Artificial Intelligence literature. Notice period open

About the Role We are seeking a talented and motivated AI Engineer to join our dynamic team and contribute to the development of next-generation AI/GenAI based products and solutions. This role will provide you with the opportunity to work on cutting-edge SaaS technologies and impactful projects that are used by enterprises and users worldwide. As a Senior Software Engineer, you will be involved in the design, development, testing, deployment, and maintenance of software solutions. You will work in a collaborative environment, contributing to the technical foundation behind our flagship products and services. Responsibilities Software Development: Write clean, maintainable, and efficient code for various software applications and systems. GenAI Product Development: Participate in the entire AI development lifecycle, including data collection, preprocessing, model training, evaluation, and deployment. Assist in researching and experimenting with state-of-the-art generative AI techniques to improve model performance and capabilities. Design and Architecture: Participate in design reviews with peers and stakeholders. Code Review: Review code developed by other developers, providing feedback adhering to industry standard best practices like coding guidelines. Testing: Build testable software, define tests, participate in the testing process, automate tests using tools (e.g., Junit, Selenium) and Design Patterns leveraging the test automation pyramid as the guide. Debugging and Troubleshooting: Triage defects or customer reported issues, debug and resolve in a timely and efficient manner. Service Health and Quality: Contribute to health and quality of services and incidents, promptly identifying and escalating issues. Collaborate with the team in utilizing service health indicators and telemetry for action. Assist in conducting root cause analysis and implementing measures to prevent future recurrences. DevOps Model: Understanding of working in a DevOps Model. Begin to take ownership of working with product management on requirements to design, develop, test, deploy and maintain the software in production. Documentation: Properly document new features, enhancements or fixes to the product, and also contribute to training materials. Basic Qualifications Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. Two plus years of professional software development experience. Proficiency as a developer using Python, FastAPI, PyTest, Celery and other Python frameworks. Experience with software development practices and design patterns. Familiarity with version control systems like Git/GitHub and bug/work tracking systems like JIRA. Basic understanding of cloud technologies and DevOps principles. Strong analytical and problem-solving skills, with a proven track record of building and shipping successful software products and services. Preferred Qualifications Experience with object-oriented programming, concurrency, design patterns, and REST APIs. Experience with CI/CD tooling such as Terraform and GitHub Actions. High level familiarity with AI/ML, GenAI, and MLOps concepts. Familiarity with frameworks like LangChain and LangGraph. Experience with SQL and NoSQL databases such as MongoDB, MSSQL, or Postgres. Experience with testing tools such as PyTest, PyMock, xUnit, mocking frameworks, etc. Experience with GCP technologies such as VertexAI, BigQuery, GKE, GCS, DataFlow, and Kubeflow. Experience with Docker and Kubernetes.

Develop enterprise-level GenAI applications using LLM frameworks such as Langchain, Autogen, and Hugging Face. Design and develop intelligent pipelines using PySpark, TensorFlow, and PyTorch within Databricks and AWS environments. Implement embedding models and manage VectorStores for retrieval-augmented generation (RAG) solutions. Integrate and leverage MDM 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 serve GenAI models 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. Guide the team on development activities and lead solution discussions. Basic Qualifications and Experience: Master's degree with 4 - 6 years of experience in Business, Engineering, IT, or related field OR Bachelor's degree with 6 - 9 years of experience in Business, Engineering, IT, or related field OR Diploma with 10 - 12 years of experience in Business, Engineering, IT, or related field Functional Skills: Must-Have Skills: 6+ years of experience working in AI/ML or Data Science roles, including designing and implementing GenAI solutions. Hands-on experience with LLM frameworks and tools like Langchain, Autogen, Hugging Face, OpenAI APIs, and embedding models. Strong programming background in Python, PySpark, TensorFlow, PyTorch, and SK-Learn. Proven experience building and deploying AI/ML applications in cloud environments such as AWS. Expertise in developing APIs, automation pipelines, and serving GenAI models using Django, FastAPI, and DataBricks. Solid experience integrating and managing MDM tools (Informatica, Reltio) and applying data governance best practices. Core technical capabilities in GenAI and Data Science. Good-to-Have Skills: Experience in Data Modeling, ETL development, and data profiling to support AI/ML workflows. Knowledge of Life Sciences or Pharma industry standards and regulatory considerations. Proficiency in Agile tools like JIRA and Confluence. Familiarity with MongoDB, VectorStores, and scalable GenAI architecture principles. Professional Certifications: ETL certification (e.g., Informatica) Data Analysis certification (SQL) Cloud certification (AWS or Azure) Data Science and ML certifications Soft Skills: Strong analytical skills for assessing and improving master data processes. Excellent verbal and written communication skills for conveying complex data concepts. Effective problem-solving skills to implement scalable solutions. Ability to work effectively with global and virtual teams.

Client Name: WIPRO Location: PAN INDIA Mode: Hybrid Job Description: Experience Required: 10+ years in AI/ML and Solution Architecture roles (Strong programming and system integration background required) Key Responsibilities: Troubleshoot and fix an existing BERT-integrated Outsystems+AMP solution, including scheduler code debugging. Translate complex business requirements into scalable and integrative AI/GenAI solutions. Architect and guide end-to-end implementation of AI systems aligned with Ericssons target architecture (e.g., TAMP). Lead architectural reviews and support development teams to ensure solution compliance. Manage risks associated with AI models via standard risk assessment protocols. Create, maintain, and own architectural documentation and blueprints. Present technical concepts and designs to stakeholders. Collaborate with cross-functional teams including development and platform teams for successful project delivery. Additional Responsibilities: Apply advanced ML algorithms to solve business problems and drive value. Build and deploy data science solutions at scale (AWS Sagemaker, Kubernetes, Docker). Stay updated with current AI trends and contribute to applied research, innovation, and IP creation (e.g., publications, patents). Deliver insights to business leaders to influence decision-making. Qualifications: Bachelors or Masters degree in Computer Science, Engineering, or related field. Proven track record in delivering AI/ML solutions (preferably in Finance domain). Recognized experience on data science platforms (e.g., Kaggle achievements is a plus). Strong coding background in Python and experience in cloud-native environments. Good to Have: Domain expertise in Finance. Contributions to open-source or research community (e.g., Kaggle, GitHub, papers).

We are seeking a highly skilled and innovative AI Data Engineer to join our Development team. In this role, you will design, develop, and deploy AI systems that can generate content, reason autonomously, and act as intelligent agents in dynamic environments. Key Responsibilities • Design and implement generative AI models (e.g., LLMs, diffusion models) f or text, image, audio, or multimodal content generation. • Develop agentic AI systems capable of autonomous decision-making, planning, and tool use in complex environments. • Integrate AI agents with APIs, databases, and external tools to enable real-world task execution. • Fine-tune foundation models for domain-specific applications using techniques like RLHF, prompt engineering, and retrieval-augmented generation (RAG). • Collaborate with cross-functional teams including product, design, and engineering to bring AI-powered features to production. • Conduct research and stay up to date with the latest advancements in generative and agentic AI. • Ensure ethical, safe, and responsible AI development practices. Required Qualifications • Bachelors or Masters degree in Computer Science, AI, Machine Learning, or a related field. • 3+ years of experience in machine learning, with a focus on generative models or autonomous agents. • Proficiency in Python and ML frameworks such as PyTorch • Experience with LLMs (e.g., GPT, Claude, LLaMA, Cortex) , transformers, and diffusion models. • Familiarity with agent frameworks (e.g., LangChain, AutoGPT, ReAct, OpenAgents ). • Experience with AWS and Snowflake services • Prior We are seeking a highly skilled and innovative AI Data Engineer to join our Development team. In this role, you will design, develop, and deploy AI systems that can generate content, reason autonomously, and act as intelligent agents in dynamic environments.

Job description Role - AI/ ML Engineer Location - Gurgaon Exp - 6 to 9 yrs Shift Timings - 12 PM to 9 PM Job Description We are seeking a highly skilled and innovative AI Data Engineer to join our Development team. In this role, you will design, develop, and deploy AI systems that can generate content, reason autonomously, and act as intelligent agents in dynamic environments. Key Responsibilities • Design and implement generative AI models (e.g., LLMs, diffusion models) for text, image, audio, or multimodal content generation. • Develop agentic AI systems capable of autonomous decision-making, planning, and tool use in complex environments. • Integrate AI agents with APIs, databases, and external tools to enable real-world task execution. • Fine-tune foundation models for domain-specific applications using techniques like RLHF, prompt engineering, and retrieval-augmented generation (RAG). • Collaborate with cross-functional teams, including product, design, and engineering, to bring AI-powered features to production. • Conduct research and stay up to date with the latest advancements in generative and agentic AI. • Ensure ethical, safe, and responsible AI development practices. Required Qualifications • Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or a related field. • 3+ years of experience in machine learning, with a focus on generative models or autonomous agents. • Proficiency in Python and ML frameworks such as PyTorch • Experience with LLMs (e.g., GPT, Claude, LLaMA, Cortex), transformers, and diffusion models. • Familiarity with agent frameworks (e.g., LangChain, AutoGPT, ReAct, OpenAgents). • Experience with AWS and Snowflake services • Prior Healthcare experience • Strong understanding of reinforcement learning, planning algorithms, and multi-agent systems. • Excellent problem-solving and communication skills.

We are seeking a highly skilled and innovative AI Data Engineer to join our Development team. In this role, you will design, develop, and deploy AI systems that can generate content, reason autonomously, and act as intelligent agents in dynamic environments. Key Responsibilities • Design and implement generative AI models (e.g., LLMs, diffusion models) for text, image, audio, or multimodal content generation. • Develop agentic AI systems capable of autonomous decision-making, planning, and tool use in complex environments. • Integrate AI agents with APIs, databases, and external tools to enable real-world task execution. • Fine-tune foundation models for domain-specific applications using techniques like RLHF, prompt engineering, and retrieval-augmented generation (RAG). • Collaborate with cross-functional teams including product, design, and engineering to bring AI-powered features to production. • Conduct research and stay up to date with the latest advancements in generative and agentic AI. • Ensure ethical, safe, and responsible AI development practices. Required Qualifications • Bachelors or Masters degree in Computer Science, AI, Machine Learning, or a related field. • 3+ years of experience in machine learning, with a focus on generative models or autonomous agents. • Proficiency in Python and ML frameworks such as PyTorch • Experience with LLMs (e.g., GPT, Claude, LLaMA, Cortex), transformers, and diffusion models. • Familiarity with agent frameworks (e.g., LangChain, AutoGPT, ReAct, OpenAgents). • Experience with AWS and Snowflake services • Prior Healthcare experience • Strong understanding of reinforcement learning, planning algorithms, and multi-agent systems. • Excellent problem-solving and communication skills. Shift Timings - 12 PM - 9 PM Office location -Bangalore/ Gurgaon ( Carelon offc locations )

Role - AI/ ML Engineer Location - Gurgaon Shift Timings - 12 PM to 9 PM Job Description We are seeking a highly skilled and innovative AI Data Engineer to join our Development team. In this role, you will design, develop, and deploy AI systems that can generate content, reason autonomously, and act as intelligent agents in dynamic environments. Key Responsibilities • Design and implement generative AI models (e.g., LLMs, diffusion models) for text, image, audio, or multimodal content generation. • Develop agentic AI systems capable of autonomous decision-making, planning, and tool use in complex environments. • Integrate AI agents with APIs, databases, and external tools to enable real-world task execution. • Fine-tune foundation models for domain-specific applications using techniques like RLHF, prompt engineering, and retrieval-augmented generation (RAG). • Collaborate with cross-functional teams, including product, design, and engineering, to bring AI-powered features to production. • Conduct research and stay up to date with the latest advancements in generative and agentic AI. • Ensure ethical, safe, and responsible AI development practices. Required Qualifications • Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or a related field. • 3+ years of experience in machine learning, with a focus on generative models or autonomous agents. • Proficiency in Python and ML frameworks such as PyTorch • Experience with LLMs (e.g., GPT, Claude, LLaMA, Cortex), transformers, and diffusion models. • Familiarity with agent frameworks (e.g., LangChain, AutoGPT, ReAct, OpenAgents). • Experience with AWS and Snowflake services • Prior Healthcare experience • Strong understanding of reinforcement learning, planning algorithms, and multi-agent systems. • Excellent problem-solving and communication skills.

Responsibilities: * Develop generative AI models using Python & Large Language Models. * Optimize ML algorithms for performance and accuracy. * Collaborate with cross-functional teams on project delivery.

We are looking for an experienced AI Developer or aspiring CTO who is ready to take up a co-founder-level role and lead the entire AI development.This is not just another jobit’s an opportunity to build a game-changing product from the ground up , shape the company’s future, and be rewarded with long-term equity and profits. Responsibilities Take end-to-end ownership of AI product development (design, architecture, implementation, optimization). Build and deploy AI/ML/NLP models for intelligent data extraction, analysis, personalization, and automation. Integrate third-party APIs (e.g., ChatGPT API, Make.com, Apify, Hunter, Apollo, etc.). Work closely with frontend/backend teams to build seamless user experiences. Continuously monitor, evaluate, and optimize AI solutions. Contribute to product strategy and roadmap as part of the core leadership team. Create scalable, secure, and modular systems for AI agents, market research tools, and CRM components. Must-Have Qualities Strong experience in AI/ML/NLP (e.g., OpenAI, LangChain, vector databases, RAG pipelines). Proven expertise in Python and one or more ML frameworks (e.g., TensorFlow, PyTorch). Experience with APIs, automation workflows, no-code/low-code integrations, and AI infrastructure. Startup mindset: proactive, resourceful, and comfortable working with ambiguity. Entrepreneurial drive with a hunger to build and scale. Ability to independently manage projects, deadlines, and product cycles. Preferred Qualities Experience building AI products from scratch (especially SaaS platforms). Familiarity with marketing tech, web scraping, data enrichment tools. Prior startup or product-building experience (bonus if you’ve been a founder/CTO). Understanding of business and user-driven product development. What’s in It for You? Profit-Sharing : A percentage of profits plus salary as a founding team member. ESOPs : Earn equity based on performance, commitment, and milestones. Founder's Track : You’re not just an employee—you grow with the company as a leader. Ownership & Autonomy : You’ll define the AI roadmap and lead technical vision. Impact & Innovation : Directly influence how hundreds of businesses use AI to grow.

As a Manager, Machine Learning Engineering, you will collaborate with cross-functional teams to strategize, develop, and deliver machine learning models tailored to meet specific business objectives. You will be responsible for overseeing the entire lifecycle of these models, from data preprocessing and algorithm selection to performance evaluation and seamless integration into production systems. This role has a specific focus on Generative AI . Your Impact: What You'll Achieve As a Manager, Data Science specializing in Generative AI, you will: Lead AI-Driven Innovations: Drive the development of state-of-the-art AI and machine learning solutions that transform business strategies and deliver exceptional customer experiences. Strategic Collaboration: Work closely with cross-functional teams, including product managers, data engineers, and business stakeholders, to define and execute data-driven solutions aligned with organizational goals. Foster a High-Performance Team: Build, mentor, and lead a team of talented data scientists, cultivating a culture of innovation, collaboration, and continuous learning. Deliver Business Impact: Translate complex business problems into AI/ML solutions by leveraging advanced techniques such as generative AI, deep learning, and NLP , ensuring measurable outcomes. Optimize AI Pipelines: Oversee the development and deployment of scalable, efficient, and robust machine learning pipelines that address latency, responsiveness, and real-time data processing challenges. Customize AI Models: Direct the customization and fine-tuning of AI models, including large language models (LLMs) and other generative AI technologies, to meet domain-specific requirements. Promote Data-Driven Decision-Making: Advocate for data-centric approaches across teams, ensuring data quality, integrity, and readiness to maximize model performance and business impact. Develop Intelligent AI Agents: Architect and refine AI agents that solve complex business challenges, leveraging LLMs to deliver personalized, user-centric solutions. Advance Generative AI Applications: Innovate with cutting-edge generative AI models such as LLM, VLM, GANs, and VAEs to create tailored applications for dynamic content creation, predictive analytics, and enhanced automation. Scale AI with Cloud Technology: Deploy and scale LLM-based solutions on platforms like GCP, AWS, and Azure to address real-world business problems with precision and efficiency. Stay at the Cutting Edge: Keep up-to-date with emerging trends and innovations in AI and data science, identifying opportunities to incorporate the latest advancements into projects. Responsibilities Design AI Systems: Build AI agents for tasks such as content compliance, asset decomposition, and contextual personalization. Develop NLP Pipelines: Implement advanced NLP solutions for search relevance, intent detection, and dynamic content generation. Integrate Multi-Modal Systems: Combine data modalities such as text, images, and metadata for enriched user interactions and insights. Optimize AI Pipelines: Innovate in latency reduction, scalability, and real-time responsiveness for AI systems in production. Collaborate on AI Innovation: Work with business stakeholders to identify opportunities and deliver impactful AI-driven solutions. Qualifications Your Skills & Experience Overall Experience: 8 to 15 years of experience. Generative AI Experience: At least 2 years of Gen AI experience . LLM Fine-tuning: Fine-tuning experience with Large Language Models (LLMs, VLLMs, or Vision models) . Distributed Training/Inference: Experience with distributed training or inference frameworks like Ray, vllm, openllm, bentoML etc. Generative AI Frameworks: Experience with frameworks like LangChain, Llamaindex for building maintainable, scalable Generative AI applications. LLM Deployment/Optimization: Deployment experience or optimized hosting experience of Large Language Models (LLMs, VLLMs, or Vision models) . Vector Databases: Experience working with any Vector database like Milvus, FAISS, ChromaDB etc. Agent Development: Experience developing agents with frameworks like LangGraph, CrewAI, Autogen etc. Prompt Engineering: Experience with prompt engineering. Market Trends: Keeping up with latest market trends. Open Source LLMs: Experience working with open-source large language models from HuggingFace . Cloud Providers: Experience working with at least one public cloud provider such as Azure, AWS, or GCP . Container Technology: Experience working with container technology like Docker, ECS etc. DevOps & CI/CD: Experience with DevOps practices and CI/CD pipelines for data solutions. Production Deployment: Experience in deploying solutions to production with Kubernetes or OpenShift . ML Workflow Management: Experience with managing ML workflows with MLFlow or KubeFlow.

Here's a detailed overview of the Manager, Machine Learning Engineering (Specializing in Generative AI) role at Publicis Sapient in Hyderabad, Telangana, India: Company Description Publicis Sapient is a digital transformation partner that helps established organizations achieve their future, digitally-enabled state, both in how they work and how they serve their customers. They unlock value through a start-up mindset and modern methods, fusing strategy, consulting, and customer experience with agile engineering and creative problem-solving . United by their core values and purpose of helping people thrive in the brave pursuit of next, their 20,000+ people in 53 offices around the world combine experience across technology, data sciences, consulting, and customer obsession to accelerate their clients businesses by designing the products and services their customers truly value. Overview: Manager, Machine Learning Engineering (Generative AI Specialist) Publicis Sapient is seeking an experienced Manager, Machine Learning Engineering to lead their talented team of AI and data science experts. In this influential role, you will be responsible for developing and implementing solutions that address complex business challenges across a wide range of industries, empowering clients to revolutionize their businesses by harnessing the potential of advanced technology. As a Manager, Machine Learning Engineering, you will collaborate with cross-functional teams to strategize, develop, and deliver machine learning models tailored to meet specific business objectives. You will be responsible for overseeing the entire lifecycle of these models, from data preprocessing and algorithm selection to performance evaluation and seamless integration into production systems. This role has a specific focus on Generative AI . Your Impact: What You'll Achieve As a Manager, Data Science specializing in Generative AI, you will: Lead AI-Driven Innovations: Drive the development of state-of-the-art AI and machine learning solutions that transform business strategies and deliver exceptional customer experiences. Strategic Collaboration: Work closely with cross-functional teams, including product managers, data engineers, and business stakeholders, to define and execute data-driven solutions aligned with organizational goals. Foster a High-Performance Team: Build, mentor, and lead a team of talented data scientists, cultivating a culture of innovation, collaboration, and continuous learning. Deliver Business Impact: Translate complex business problems into AI/ML solutions by leveraging advanced techniques such as generative AI, deep learning, and NLP , ensuring measurable outcomes. Optimize AI Pipelines: Oversee the development and deployment of scalable, efficient, and robust machine learning pipelines that address latency, responsiveness, and real-time data processing challenges. Customize AI Models: Direct the customization and fine-tuning of AI models, including large language models (LLMs) and other generative AI technologies, to meet domain-specific requirements. Promote Data-Driven Decision-Making: Advocate for data-centric approaches across teams, ensuring data quality, integrity, and readiness to maximize model performance and business impact. Develop Intelligent AI Agents: Architect and refine AI agents that solve complex business challenges, leveraging LLMs to deliver personalized, user-centric solutions. Advance Generative AI Applications: Innovate with cutting-edge generative AI models such as LLM, VLM, GANs, and VAEs to create tailored applications for dynamic content creation, predictive analytics, and enhanced automation. Scale AI with Cloud Technology: Deploy and scale LLM-based solutions on platforms like GCP, AWS, and Azure to address real-world business problems with precision and efficiency. Stay at the Cutting Edge: Keep up-to-date with emerging trends and innovations in AI and data science, identifying opportunities to incorporate the latest advancements into projects. Responsibilities Design AI Systems: Build AI agents for tasks such as content compliance, asset decomposition, and contextual personalization. Develop NLP Pipelines: Implement advanced NLP solutions for search relevance, intent detection, and dynamic content generation. Integrate Multi-Modal Systems: Combine data modalities such as text, images, and metadata for enriched user interactions and insights. Optimize AI Pipelines: Innovate in latency reduction, scalability, and real-time responsiveness for AI systems in production. Collaborate on AI Innovation: Work with business stakeholders to identify opportunities and deliver impactful AI-driven solutions. Qualifications: Your Skills & Experience Overall Experience: 8 to 15 years of experience. Generative AI Experience: At least 2 years of Gen AI experience . LLM Fine-tuning: Fine-tuning experience with Large Language Models (LLMs, VLLMs, or Vision models) . Distributed Training/Inference: Experience with distributed training or inference frameworks like Ray, vllm, openllm, bentoML etc. Generative AI Frameworks: Experience with frameworks like LangChain, Llamaindex for building maintainable, scalable Generative AI applications. LLM Deployment/Optimization: Deployment experience or optimized hosting experience of Large Language Models (LLMs, VLLMs, or Vision models) . Vector Databases: Experience working with any Vector database like Milvus, FAISS, ChromaDB etc. Agent Development: Experience developing agents with frameworks like LangGraph, CrewAI, Autogen etc. Prompt Engineering: Experience with prompt engineering. Market Trends: Keeping up with latest market trends. Open Source LLMs: Experience working with open-source large language models from HuggingFace . Cloud Providers: Experience working with at least one public cloud provider such as Azure, AWS, or GCP . Container Technology: Experience working with container technology like Docker, ECS etc. DevOps & CI/CD: Experience with DevOps practices and CI/CD pipelines for data solutions. Production Deployment: Experience in deploying solutions to production with Kubernetes or OpenShift . ML Workflow Management: Experience with managing ML workflows with MLFlow or KubeFlow .

If you feel like you're part of something bigger, it's because you are. At Amgen, our shared missionto serve patientsdrives all that we do. It is key to our becoming one of the world's leading biotechnology companies. We are global collaborators who achieve togetherresearching, manufacturing, and deliver ever-better products that reach over 10 million patients worldwide. It's time for a career you can be proud of. What you will do Let's do this. Let's change the world. In this vital role we are seeking a strategic and hands-on Specialist Software Engineer / AI Engineer Search to lead the design, development, and deployment of AI-powered search and knowledge discovery solutions across our pharmaceutical enterprise. In this role, you'll manage a team of engineers and work closely with data scientists, oncologists, and domain experts to build intelligent systems that help users across R&D, medical, and commercial functions find relevant, actionable information quickly and accurately. Architect and lead the development of scalable, intelligent search systems leveraging NLP, embeddings, LLMs, and vector search Own the end-to-end lifecycle of search solutions, from ingestion and indexing to ranking, relevancy tuning, and UI integration Build systems that surface scientific literature, clinical trial data, regulatory content, and real-world evidence using semantic and contextual search Integrate AI models that improve search precision, query understanding, and result summarization (e.g., generative answers via LLMs) Partner with platform teams to deploy search solutions on scalable infrastructure (e.g., Kubernetes, cloud-native services, Databricks, Snowflake) Experience in Generative AI on Search Engines Experience in integrating Generative AI capabilities and Vision Models to enrich content quality and user engagement Building and owning the next generation of content knowledge platforms and other algorithms/systems that create high quality and unique experiences. Designing and implementing advanced AI Models for entity matching, data duplication Experience Generative AI tasks such as content summarization, deduping and metadata quality. Researching and developing advanced AI algorithms, including Vision Models for visual content analysis Implementing KPI measurement frameworks to evaluate the quality and performance of delivered models, including those utilizing Generative AI Developing and maintaining Deep Learning models for data quality checks, visual similarity scoring, and content tagging Continually researching current and emerging technologies and proposing changes where needed Implement GenAI solutions, utilize ML infrastructure, and contribute to data preparation, optimization, and performance enhancements Manage and mentor a cross-functional engineering team focused on AI, ML, and search infrastructure Foster a collaborative, high-performance engineering culture with a focus on innovation and delivery Work with domain experts, data stewards, oncologists, and product managers to align search capabilities with business and scientific need Basic Qualifications: Degree in computer science & engineering preferred with 912 years of software development experience Proficient in AI Model, NLM, AI, Python, Elasticsearch OR Solr OR OpenSearch, GraphQL, No SQL, Cloud CI/CD build pipelines, API Proven experience building search systems with technologies like Elasticsearch, Solr, OpenSearch, or vector DBs (e.g., Pinecone, FAISS) Hands-on experience with various AI models, GCP Search Engines, GCP Cloud services Strong understanding of NLP, embeddings, transformers, and LLM-based search applications Proficient in programming language AI/ML, Python, GraphQL, Java Crawlers, Java Script, SQL/NoSQL, Databricks/RDS, Data engineering, S3 Buckets, dynamo DB Strong problem solving, analytical skills; Ability to learn quickly; Excellent communication and interpersonal skills Experience deploying ML services and search infrastructure in cloud environments (AWS, Azure, or GCP) Preferred Qualifications: Experience in AI/ML, Java, Rest API, Python Proficient in Databricks, Java Experienced with Fast Pythons API Experience with design patterns, data structures, data modelling, data algorithms Knowledge of ontologies and taxonomies such as MeSH, SNOMED CT, UMLS, or MedDRA Familiarity with MLOps, CI/CD for ML, and monitoring of AI models in production Experienced with AWS /Azure Platform, building and deploying the code Experience in PostgreSQL /Mongo DB SQL database, vector database for large language models, Databricks or RDS, S3 Buckets Experience in Google cloud Search and Google cloud Storage Experience with popular large language models Experience with LangChain or LlamaIndex framework for language models Experience with prompt engineering, model fine tuning Knowledge of NLP techniques for text analysis and sentiment analysis Experience with generative AI or retrieval-augmented generation (RAG) frameworks in pharma/biotech setting Experience in Agile software development methodologies Experience in End-to-End testing as part of Test-Driven Development Good to Have Skills Willingness to work on Full stack Applications Experience working with biomedical or scientific data (e.g., PubMed, clinical trial registries, internal regulatory databases) Soft Skills: Excellent analytical and troubleshooting skills Strong verbal and written communication skills Ability to work effectively with global, remote teams High degree of initiative and self-motivation Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Strong presentation and public speaking skills