209 Langchain Jobs - Page 7

Technical Needs: 5+ years experience in Python Hands-on experience in Generative AI, LLMs, RAG Pipeline, prompt tuning, Agentic frameworks like LangChain/LangGraph Must have good experience on AWS and Docker based development. Good to have knowledge of Hugging Face, agentic frameworks, and Machine Learning Job Responsibilities: The responsibilities will depend on the needs of your organization and team, but edit these to get you started: Model, build, and test AI software to ensure it can take on large swaths of data and achieve desired results. Use Python, JavaScript, and C++ to create a faster, more capable AI. Analyze statistics, data, and algorithms for projection accuracy. Use AI analysis to make strategy recommendations that align with company goals. Work with a team of machine-learning and data engineers to ensure seamless AI development and integration. Stay current on AI knowledge, trends, and regulations. Collect, organize, and present progress with team leadership and stakeholders.

Job Description: Interview will be conducted on 10th April 2025. location: Pune Required Qualifications 10+ years of professional experience in AI/ML development/ Data scientist Strong programming skills in Python and related ML frameworks Proven track record of delivering production ready AI solutions Effective communication with client Technical Skills & Experience Overview Proficiency in Python, TensorFlow, PyTorch, Hugging Face, LangChain. Experience with APIs development and integration using Flask, FastAPI, or similar frameworks. Familiarity with Vector Databases (FAISS, Pinecone, Weaviate, ChromaDB) for AI applications. Experience with SQL & NoSQL databases (PostgreSQL, MongoDB, etc.). Strong knowledge of Cloud services (AWS, Azure, GCP) for AI deployment. Understanding of MLOps and CI/CD pipelines for model lifecycle management. Machine Learning & Deep Learning Strong foundation in traditional ML algorithms and statistical modeling Experience with neural network architectures and deep learning frameworks (PyTorch/TensorFlow) Practical knowledge of model optimization, hyperparameter tuning, and performance metrics Expertise in data preprocessing, feature engineering, and model validation techniques Large Language Models (LLMs) Experience working with transformer-based architectures Hands-on experience with LLM deployment and fine-tuning Understanding of prompt engineering and LLM evaluation metrics Knowledge of RAG (Retrieval-Augmented Generation) systems and vector databases AI Agents & Automation Experience in developing autonomous AI agents and workflows Understanding of agentic approaches to AI system design Knowledge of reinforcement learning and decision-making systems Experience with AI orchestration and multi-agent systems Computer Vision (Good to have) Practical experience with image processing and computer vision algorithms Knowledge of CNN architectures and modern vision transformers Experience with object detection, segmentation, and classification tasks Understanding of video processing and real-time vision systems Infrastructure & Deployment Strong experience with cloud platforms (AWS/Azure/GCP) Expertise in API development and RESTful services Knowledge of containerization and orchestration (Docker, Kubernetes) Experience with ML ops and model serving infrastructure Key Responsibilities Design and implement end-to-end AI solutions from concept to production Develop and optimize ML models for various use cases Create and maintain RAG systems for information retrieval and generation Build and deploy computer vision solutions for real-world applications Implement and manage cloud-based AI services and APIs Collaborate with cross functional teams to integrate AI solutions Mentor junior team members and contribute to technical decision making

8 years of professional in building Machine Learning models & systems/software engineering Background and moved into LLM last 3-4 years1+ years of hands-on experience in how LLMs work & Generative AI (LLM) RAG, and agents.

AI Data Engineer Experience: 3 - 5 Years Exp Salary : USD 18,000-30,000 / year Preferred Notice Period : Within 30 Days Shift : 10:00AM to 7:00PM IST Opportunity Type: Remote Placement Type: Contractual Contract Duration: Full-Time, Indefinite Period (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : Dialogflow, FastAPI, LLMs, Pytorch, Python Good to have skills : Airflow, Kubeflow, LangChain, RAGFlow, TensorFlow Steer Health (One of Uplers' Clients) is Looking for: AI Data Engineer who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. Role Overview Description About the Role Steer Health is seeking a talented **Backend Engineer** with expertise in AI/ML and healthcare technologies to design and implement **AgenticAI workflows** that redefine clinical and operational processes. Youll build scalable backend systems that integrate FHIR-compliant APIs, LLM-driven automation, and conversational AI to solve real-world healthcare challenges. If youre passionate about Python, AI workflows, and making a tangible impact in healthcare, this role is for you. Key Responsibilities -FastAPI to enable seamless data exchange across EHRs, patient portals, and AI agents. - Architect AI-driven workflows using tools like RAGFlow or similar platforms to automate tasks such as clinical documentation, prior authorization, and patient triage. - Develop and fine-tune LLM-based solutions (e.g., GPT, Claude) with PyTorch, focusing on healthcare-specific use cases like diagnosis support or patient communication. - Integrate Dialogflow for conversational AI agents that power chatbots, voice assistants, and virtual health aides. - Collaborate on prompt engineering to optimize LLM outputs for accuracy, compliance, and clinical relevance. - Optimize backend systems for performance, scalability, and security in HIPAA-compliant environments. - Partner with cross-functional teams (data scientists, product managers, clinicians) to translate healthcare needs into technical solutions. Qualifications - 3+ years of backend engineering experience, with expertise in Python and frameworks like FastAPI or Flask. - Hands-on experience with **PyTorch/TensorFlow** and deploying ML models in production. - Familiarity with AI workflow tools (e.g., RAGFlow, Airflow, Kubeflow) and orchestration of LLM pipelines. - Experience integrating Dialogflow or similar platforms for conversational AI. - Strong understanding of LLMs (training, fine-tuning, and deployment) and prompt engineering best practices. - Knowledge of cloud platforms (AWS/GCP/Azure) and containerization (Docker, Kubernetes). - Passion for healthcare innovation and improving patient/provider experiences. Preferred Qualifications - Experience in healthcare tech (EHR integrations, HIPAA compliance, HL7/FHIR). - Contributions to open-source AI/healthcare projects. - Familiarity with **LangChain**, **LlamaIndex**, or agentic workflow frameworks. Why Join Steer Health? - Impact: Your work will directly enhance healthcare delivery for millions of patients. - Innovation: Build with the latest AI/ML tools in a fast-paced, forward-thinking environment. - Growth: Lead projects at the intersection of AI and healthcare, with opportunities for advancement. - Culture: Collaborative, mission-driven team with flexible work policies. How to apply for this opportunity: Easy 3-Step Process: 1. Click On Apply! And Register or log in on our portal 2. Upload updated Resume & Complete the Screening Form 3. Increase your chances to get shortlisted & meet the client for the Interview! About Our Client: Steer Health transforms healthcare with the industry's most widely adopted Al-fueled patient experience and growth. At Steer Health, we're creating next-generation consumer engagement experiences with solutions spanning care communication, patient engagement, scheduling, smart notifications, and more. About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

About the job: The Red Hat, Experience Engineering (XE) team is looking for a skilled Python Developer with 2+ years of experience to join our Software Engineering team. In this role, the ideal candidate should have a strong background in Python development, a deep understanding of LLMs, and the ability to debug and optimize AI applications. Your work will directly impact our product development, helping us drive innovation and improve the customer experience. What will you do? Develop and maintain Python-based applications, integrating LLMs and AI-powered solutions. Collaborate with cross-functional teams (product managers, software engineers, and data teams) to understand requirements and translate them into data-driven solutions. Assist in the development, testing, and optimization of AI-driven features. Optimize performance and scalability of applications utilizing LLMs. Debug and resolve Python application errors, ensuring stability and efficiency. Conduct exploratory data analysis and data cleaning to prepare raw data for modelling. Optimize and maintain data storage and retrieval systems for model input/output. Research and experiment with new LLM advancements and AI tools to improve existing applications. Document workflows, model architectures, and code to ensure reproducibility and knowledge sharing across the team. What will you bring? Bachelor's degree in Computer Science, Software Engineering, or a related field with 2+ years of relevant experience. Strong proficiency in Python, including experience with frameworks like FastAPI/ Flask, or Django. Understanding of fundamental AI/ML concepts, algorithms, techniques and implementation of workflows. Familiarity with DevOps/MLOps practices and tools for managing the AI/ML lifecycle in production environments. Understanding of LLM training processes and data requirements. Experience in LLM fine-tuning, RAG and prompt engineering. Hands-on experience with LLMs (e.g., OpenAI GPT, Llama, or other transformer models) and their integration into applications(e.g. LangChain or Llama Stack). Familiarity with REST APIs, data structures, and algorithms. Strong problem-solving skills with the ability to analyze and debug complex issues. Experience with Git, CI/CD pipelines, and Agile methodologies. Experience working with cloud-based environments (AWS, GCP, or Azure) is a plus. Knowledge of vector databases (e.g., Pinecone, FAISS, ChromaDB) is a plus.

Position Overview: We seek a skilled and innovative AI Engineer with background experience in Python, LangChain, AI, ML, and Data Science principles to design, develop, and deploy Agentic AI Agents / Vertical LLM Agents. The ideal candidate will possess extensive experience with LangChain, data science workflows, prompt engineering, retrieval-augmented generation (RAG), and LLM fine-tuning. You will be working to integrate structured and unstructured data into scalable knowledge bases and evaluate systems for continuous improvement. The role involves developing solutions for use cases primarily for UK-based clients and solving industry-specific challenges with cutting-edge AI technologies. Job Type: Full-Time Location: Powai, Mumbai Salary Range: Competitive, based on experience Working Hours: 10:30 am to 7:30 pm Indian Standard Time Days of work: Monday to Friday Key Responsibilities: 1. Knowledge Base Development and Integration Define Knowledge Base Scope: Collaborate with domain experts to identify industry-specific requirements and tasks. Assess and select appropriate structured and unstructured data sources. Data Curation and Organization: Collect and preprocess data from authoritative sources (e.g., research papers, databases, manuals). Structure unstructured data using techniques like knowledge graphs. Implement data cleaning workflows to ensure high-quality input. Knowledge Integration: Embed knowledge bases into LLM workflows using tools like Pinecone, Weaviate, or Milvus. 2. LLM Fine-Tuning Fine-tune LLMs using frameworks such as Hugging Face Transformers or OpenAI APIs. Use domain-specific datasets to adapt base models to specialized industries. Apply transfer learning techniques to enhance model performance for niche applications. Monitor and improve fine-tuned models using validation metrics and feedback loops. 3. Prompt Engineering Design, test, and optimize prompts for industry-specific tasks. Implement contextual prompting strategies to enhance accuracy and relevance. Iterate on prompt designs based on system evaluations and user feedback. 4. Retrieval-Augmented Generation (RAG) Implement RAG workflows to integrate external knowledge bases with LLMs. Develop and optimize embedding-based retrieval systems using vector databases. Combine retrieved knowledge with user queries to generate accurate and context-aware responses. 5. System Integration Build APIs and middleware to interface between the LLM, knowledge base, and user-facing applications. Develop scalable and efficient query-routing mechanisms for hybrid retrieval and generation tasks. Ensure seamless deployment of LLM-powered applications. 6. Validation and Testing Evaluate model responses against domain-specific benchmarks and ground truths. Collaborate with domain experts to refine system outputs. Conduct user testing and gather feedback to improve system performance iteratively. 7. Maintenance and Updates Implement strategies to keep the knowledge base current with periodic updates. Develop monitoring tools to track system performance and identify areas for improvement. Address ethical, regulatory, and privacy considerations (e.g., GDPR, HIPAA compliance). Qualifications: Technical Skills Programming: Strong knowledge of Python and frameworks like Flask, FastAPI, or LangChain for API development. Data Preprocessing: Familiarity with preprocessing pipelines for structured and unstructured data. LLM Proficiency: Experience with LLM platforms such as OpenAI GPT, Hugging Face Transformers, or similar. Knowledge Base Management: Hands-on experience with vector databases (e.g., Pinecone, Milvus, Weaviate) and relational databases (e.g., PostgreSQL, MySQL). Fine-Tuning Expertise: Proficiency in adapting LLMs for specialized domains using domain-specific datasets. RAG Implementation: Practical experience with retrieval-augmented generation workflows. Prompt Engineering: Ability to craft and optimize prompts for complex, context-driven tasks. Soft Skills Strong problem-solving skills and attention to detail. Ability to collaborate effectively with cross-functional teams, including domain experts. Excellent communication and documentation skills. Experience 6+ years of experience in AI/ML roles, focusing on LLM agent development and deployment in recent years. 2 + years would creating AI solution with langChain, experience. Demonstrated experience in designing domain-specific AI systems. Hands-on experience in integrating structured/unstructured data into AI models.

Job Title: AI Engineer Python. Location: Bangalore, India Onsite Job Summary: We are seeking an experienced AI Engineer with expertise in Python programming to design, develop, and deploy custom artificial intelligence (AI) applications on bare metal and privately deployed cloud platforms such as Red Hat OpenShift AI and VMware Cloud Foundation Private AI using NVIDIA Enterprise AI. The ideal candidate will have a strong background in Python software development, AI/ML frameworks, and model fine-tuning. Key Responsibilities: 1. AI Application Development & Deployment Design, develop, and deploy AI applications on bare metal and private cloud platforms (Red Hat OpenShift AI, VMware Cloud Foundation Private AI with NVIDIA Enterprise AI). Build scalable and high-performance AI solutions using Python. 2. Python Programming & Optimization Leverage advanced Python capabilities for AI applications, including: Optimized numerical computations (NumPy, SciPy) Concurrency and parallelism (multiprocessing, joblib) Advanced data structures and algorithms. 3. AI/ML Frameworks & Model Fine-Tuning Apply expertise in AI/ML frameworks such as TensorFlow, PyTorch, and Scikit-Learn. Develop and fine-tune AI models using techniques such as transfer learning and hyperparameter tuning. 4. Generative AI & LLMs Work with open-source LLMs and frameworks like LangChain, LangGraph, and Agentic flows. 5. Custom Model Development Design and implement custom AI models from scratch using Python and popular AI/ML frameworks. 6. System Integration & API Development Integrate AI applications with existing systems, data sources, and APIs for seamless functionality. 7. Testing, Validation & Optimization Develop and execute testing strategies to ensure the quality, reliability, and performance of AI applications. 8. Documentation & Communication Create comprehensive technical documentation. Communicate project progress, results, and recommendations to stakeholders. Technical Skills: Strong proficiency in Python. AI/ML frameworks: TensorFlow, PyTorch, Scikit-Learn, NLP, Machine Learning, Deep Learning, Langchain, LangGraph, RAG, Fine-Tuning. Data science libraries: NumPy, SciPy, Pandas.

We are hiring a AIML Technical Lead for the Noida location. (To Confirm Please Drop a Whatsapp or call on 9205053694 Meenakshi ) ( In case The Number Is Busy, Please Drop A Whatsapp @ 9205053694 Meenakshi ) Any graduate can apply. Job description Technical Skillset : Must Have Skills - Generative AI - GPT3, ML Ops and Python Proficient in Python, with experience in machine learning, deep learning, and NLP processing. Experience in developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs. Proficient in Langchain, LLM Prompt Engineering : The engineer prompts and optimizes few-shot techniques to enhance LLM's performance on specific tasks, e.g. personalized recommendations. Model Evaluation & Optimization : Evaluate LLM's zero-shot and few-shot capabilities, fine-tuning hyperparameters, ensuring task generalization, and exploring model interpretability for robust web app integration. Response Quality : Collaborate with ML and Integration engineers to leverage LLM's pre-trained potential, delivering contextually appropriate responses in a user-friendly web app. It is essential to have a solid understanding of data structures, algorithms, and principles of software engineering. Experience with vector databases RDBMS, MongoDB and NoSQL databases. Proficiency in working with embeddings. Strong distributed systems skills and system architecture skills Experienced in building and running a large platform at scale. Hands-on experience with Python, Hugging Face, TensorFlow, Keras, PyTorch, Spark, or similar statistical tools. Experience as data modeling ML/NLP scientist. including, but not limited to, Performance tuning, fine-tuning, RLHF, and performance optimization. Validated background with ML toolkits, such as PyTorch, TensorFlow, Keras, Langchain, Llamadindex, SparkML, or Databricks. Proficient with the integration of data from multiple data sources Experience with NoSQL databases, such as HBase, ElasticSearch, and MongoDB API Design. API/Data mapping to schema. Experienced in and strong knowledge of using AI/ML and more particularly LLMs eager to apply this rapidly changing technology. Good Knowledge of Kubernetes, and RESTful design. Prior experience in developing public cloud services or open-source ML software is an advantage Role and responsibilities - Collaborating with cross-functional teams to define AI project requirements and objectives ensuring alignment with overall business goals Conducting research to stay up to date with the latest advancements in generative AI machine learning and deep learning techniques and identify opportunities to integrate them into our products and services. Optimizing existing generative AI models for improved performance scalability and efficiency. Active participation in developer communities, open-source contributions, or personal GenAI projects Work closely with the GenAI development team to integrate AI models and applications with the existing/new tool, quality, and performance. Act as an authority, guiding junior engineers and collaborating teams, fostering a culture of development excellence, collaboration, and continuous learning. Evaluating and selecting appropriate AI tools and machine learning models for tasks, as well as building and training working versions of those models using Python and other open-source technologies Working with leadership and stakeholders to identify AI opportunities and promote strategy. Serve as a technical lead, overseeing and supervising projects and engineers on the team. Play a leading hands-on role in the design and implementation of our ML infrastructure and GenAI platform software technologies. Drive our technology vision and roadmap. Establish software development best practices, and lead by example in applying them Experience contributing to the architecture and design of large scale distributed systems and/or ML systems and tools Hands-on experience leveraging large sets of structured and unstructured data to develop data-driven tactical and strategic analytics and insights using ML, NLP, computer vision solutions Strong sense of software design and usability of ML systems Experience applying software engineering methodologies and best practices including coding standards, code reviews, build processes, testing, and security. Proven experience as a Engineering Lead, hands on Software Engineering Manager, or similar role Develop natural language processing (NLP) solutions using GenAI, LLMs and custom transformer architectures. Adopt and customize LLM agent-based orchestration tools (LlamaIndex, Langchain, Semantic Kernel) for enterprise applications and use cases Implement information search and retrieval at scale, using a range of solutions ranging from keyword search to semantic search using embeddings. Developing and/or tune Large Language Models (LLM) and Generative AI (GAI) Analyze, design, develop, support and maintain Big Data environment and code base, support traditional data pipelines and processes. Education Computer science, Data Engineering, or a related field graduates. Sal upto 25 LPA (To Confirm Please Drop a Whatsapp or call on 9205053694 Meenakshi ) ( In case The Number Is Busy, Please Drop A Whatsapp @ 9205053694 Meenakshi ) Regards SPARK CONSULTANCY

We are hiring a AIML Technical Lead for the Noida location. (To Confirm Please Drop a Whatsapp or call on 9205053694 Meenakshi ) ( In case The Number Is Busy, Please Drop A Whatsapp @ 9205053694 Meenakshi ) Any graduate can apply. Job description Technical Skillset : Must Have Skills - Generative AI - GPT3, ML Ops and Python Proficient in Python, with experience in machine learning, deep learning, and NLP processing. Experience in developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs. Proficient in Langchain, LLM Prompt Engineering : The engineer prompts and optimizes few-shot techniques to enhance LLM's performance on specific tasks, e.g. personalized recommendations. Model Evaluation & Optimization : Evaluate LLM's zero-shot and few-shot capabilities, fine-tuning hyperparameters, ensuring task generalization, and exploring model interpretability for robust web app integration. Response Quality : Collaborate with ML and Integration engineers to leverage LLM's pre-trained potential, delivering contextually appropriate responses in a user-friendly web app. It is essential to have a solid understanding of data structures, algorithms, and principles of software engineering. Experience with vector databases RDBMS, MongoDB and NoSQL databases. Proficiency in working with embeddings. Strong distributed systems skills and system architecture skills Experienced in building and running a large platform at scale. Hands-on experience with Python, Hugging Face, TensorFlow, Keras, PyTorch, Spark, or similar statistical tools. Experience as data modeling ML/NLP scientist. including, but not limited to, Performance tuning, fine-tuning, RLHF, and performance optimization. Validated background with ML toolkits, such as PyTorch, TensorFlow, Keras, Langchain, Llamadindex, SparkML, or Databricks. Proficient with the integration of data from multiple data sources Experience with NoSQL databases, such as HBase, ElasticSearch, and MongoDB API Design. API/Data mapping to schema. Experienced in and strong knowledge of using AI/ML and more particularly LLMs eager to apply this rapidly changing technology. Good Knowledge of Kubernetes, and RESTful design. Prior experience in developing public cloud services or open-source ML software is an advantage Role and responsibilities - Collaborating with cross-functional teams to define AI project requirements and objectives ensuring alignment with overall business goals Conducting research to stay up to date with the latest advancements in generative AI machine learning and deep learning techniques and identify opportunities to integrate them into our products and services. Optimizing existing generative AI models for improved performance scalability and efficiency. Active participation in developer communities, open-source contributions, or personal GenAI projects Work closely with the GenAI development team to integrate AI models and applications with the existing/new tool, quality, and performance. Act as an authority, guiding junior engineers and collaborating teams, fostering a culture of development excellence, collaboration, and continuous learning. Evaluating and selecting appropriate AI tools and machine learning models for tasks, as well as building and training working versions of those models using Python and other open-source technologies Working with leadership and stakeholders to identify AI opportunities and promote strategy. Serve as a technical lead, overseeing and supervising projects and engineers on the team. Play a leading hands-on role in the design and implementation of our ML infrastructure and GenAI platform software technologies. Drive our technology vision and roadmap. Establish software development best practices, and lead by example in applying them Experience contributing to the architecture and design of large scale distributed systems and/or ML systems and tools Hands-on experience leveraging large sets of structured and unstructured data to develop data-driven tactical and strategic analytics and insights using ML, NLP, computer vision solutions Strong sense of software design and usability of ML systems Experience applying software engineering methodologies and best practices including coding standards, code reviews, build processes, testing, and security. Proven experience as a Engineering Lead, hands on Software Engineering Manager, or similar role Develop natural language processing (NLP) solutions using GenAI, LLMs and custom transformer architectures. Adopt and customize LLM agent-based orchestration tools (LlamaIndex, Langchain, Semantic Kernel) for enterprise applications and use cases Implement information search and retrieval at scale, using a range of solutions ranging from keyword search to semantic search using embeddings. Developing and/or tune Large Language Models (LLM) and Generative AI (GAI) Analyze, design, develop, support and maintain Big Data environment and code base, support traditional data pipelines and processes. Education Computer science, Data Engineering, or a related field graduates. Sal upto 25 LPA (To Confirm Please Drop a Whatsapp or call on 9205053694 Meenakshi ) ( In case The Number Is Busy, Please Drop A Whatsapp @ 9205053694 Meenakshi ) Regards SPARK CONSULTANCY

Technical Lead (Enterprise AI Systems) We are seeking a Technical Lead to drive the design and development of our enterprise-grade AI product. This role requires a deep understanding of AI/ML systems, cloud-native architectures, and scalable software design. The applicant should have mandatorily worked on enterprise grade AI product or project for at least 2 - 3 years. This role includes at least 50% hands on development, 30% LLD and the remaining 20% of HLD / Architecture. The role is on the technical career path and is NOT suitable for project managers, technical managers, engineering managers etc. Key Responsibilities: Develop scalable, modular, and secure AI-driven software systems. Design APIs, microservices, and cloud infrastructure for AI workloads. Ensure seamless AI model integration and efficient scaling. Optimize performance & scalability of systems. Implement caching, load balancing, and distributed computing. Ensure security compliance (GDPR, SOC2) and secure data handling. Enforce best practices in authentication, encryption, and API security. Mandatory Skills & Qualifications: Experience: 8 - 12 years in software architecture & design, with at least 3+ years focused on AI/ML product design & development. Last 1 - 2 years should include deep Gen AI experience in enterprise grade AI projects or applications. Experience with design and developing applications with LLMs, RAG Applications, Gen AI Agents. Fine-tuning open-source LLMs. Experience with deploying and monitoring LLMs. Experience with LLM evaluation frameworks or tools like DeepEval, Langfuse or similar. Experience with frameworks like langchain, llamaindex, pydantic etc. Proficiency in RDBMS like PostgreSQL and knowledge of vector databases (eg: chromadb,Pinecone, FAISS, Weaviate). Strong background in microservices, RESTful & GraphQL APIs, event-driven architectures, Working experience with Kafka, RabbitMQ etc... Proficient in Python, Java for backend development Experience with TensorFlow, PyTorch, Hugging Face etc... Skilled in data processing (NumPy, Pandas, Dask,NLTK) and front-end (TypeScript, React.js). Experience in scalable AI systems, data pipelines, MLOps, and real-time inference. Strong understanding of security protocols, IAM, OAuth2, JWT, RBAC. Expertise in cloud platforms (AWS, GCP, Azure), Kubernetes, Docker. Hands-on experience with CI/CD (Eg: github,Jenkins etc...) Hands-on with system monitoring (Eg: ELK Stack,OpenTelemetry, Prometheus, Grafana). Nice-to-Have Skills: Ensuring AI model interpretability, fairness, and bias mitigation strategies. Optimizing model inference using quantization, distillation, and pruning techniques. Experience in deploying AI models in production at scale, including MLOps best practices. Designing AI systems with privacy-preserving techniques (differential privacy, homomorphic encryption etc.). Experience with knowledge graph-based AI applications.

We are actively seeking a talented and results-driven Data Scientist to join our team and take on a leadership role in driving business outcomes through the power of data analytics and insights. - Your contributions will be instrumental in making data-informed decisions, identifying growth opportunities, and propelling our organization to new levels of success. - Doctorate/Master's/bachelor's degree in data science, Statistics, Computer Science, Mathematics, Economics, commerce or a related field. - Minimum of 4 years of experience working as a Data Scientist or in a similar analytical role, with experience leading data science projects and teams. Experience in Healthcare domain with exposure to clinical operations, financial, risk rating, fraud, digital, sales and marketing, and wellness, e-commerce or the ed tech industry is a plus. - Proven ability to lead and mentor a team of data scientists, fostering an innovative environment. Strong decision-making and problem-solving skills to guide strategic initiatives. - Expertise in programming languages such as Python and R, and proficiency with data manipulation, analysis, and visualization libraries (e.g., pandas, NumPy, Matplotlib, seaborn). - Deep understanding of machine learning algorithms, model evaluation, and feature engineering. Experience with frameworks like scikit-learn, TensorFlow, or Pytorch. - Strong expertise in statistical modelling techniques such as regression, clustering, time series analysis, and hypothesis testing. - Experience of building & deploying machine learning models in cloud environment: Microsoft Azure preferred (Databricks, Synapse, Data Factory, etc.) - Knowledge of the MLOps process and AI governance - Ability to understand business objectives, market dynamics, and strategic priorities. Demonstrated experience translating data insights into tangible business outcomes and driving data-informed decision-making. - Excellent verbal and written communication skills - Proven experience leading data science projects, managing timelines, and delivering results within deadlines. - Strong collaboration skills with the ability to work effectively in cross-functional teams, build relationships, and foster a culture of knowledge sharing and continuous learning.

We are actively seeking a talented and results-driven Data Scientist to join our team and take on a leadership role in driving business outcomes through the power of data analytics and insights. - Your contributions will be instrumental in making data-informed decisions, identifying growth opportunities, and propelling our organization to new levels of success. - Doctorate/Master's/bachelor's degree in data science, Statistics, Computer Science, Mathematics, Economics, commerce or a related field. - Minimum of 4 years of experience working as a Data Scientist or in a similar analytical role, with experience leading data science projects and teams. Experience in Healthcare domain with exposure to clinical operations, financial, risk rating, fraud, digital, sales and marketing, and wellness, e-commerce or the ed tech industry is a plus. - Proven ability to lead and mentor a team of data scientists, fostering an innovative environment. Strong decision-making and problem-solving skills to guide strategic initiatives. - Expertise in programming languages such as Python and R, and proficiency with data manipulation, analysis, and visualization libraries (e.g., pandas, NumPy, Matplotlib, seaborn). - Deep understanding of machine learning algorithms, model evaluation, and feature engineering. Experience with frameworks like scikit-learn, TensorFlow, or Pytorch. - Strong expertise in statistical modelling techniques such as regression, clustering, time series analysis, and hypothesis testing. - Experience of building & deploying machine learning models in cloud environment: Microsoft Azure preferred (Databricks, Synapse, Data Factory, etc.) - Knowledge of the MLOps process and AI governance - Ability to understand business objectives, market dynamics, and strategic priorities. Demonstrated experience translating data insights into tangible business outcomes and driving data-informed decision-making. - Excellent verbal and written communication skills - Proven experience leading data science projects, managing timelines, and delivering results within deadlines. - Strong collaboration skills with the ability to work effectively in cross-functional teams, build relationships, and foster a culture of knowledge sharing and continuous learning.

We are actively seeking a talented and results-driven Data Scientist to join our team and take on a leadership role in driving business outcomes through the power of data analytics and insights. - Your contributions will be instrumental in making data-informed decisions, identifying growth opportunities, and propelling our organization to new levels of success. - Doctorate/Master's/bachelor's degree in data science, Statistics, Computer Science, Mathematics, Economics, commerce or a related field. - Minimum of 4 years of experience working as a Data Scientist or in a similar analytical role, with experience leading data science projects and teams. Experience in Healthcare domain with exposure to clinical operations, financial, risk rating, fraud, digital, sales and marketing, and wellness, e-commerce or the ed tech industry is a plus. - Proven ability to lead and mentor a team of data scientists, fostering an innovative environment. Strong decision-making and problem-solving skills to guide strategic initiatives. - Expertise in programming languages such as Python and R, and proficiency with data manipulation, analysis, and visualization libraries (e.g., pandas, NumPy, Matplotlib, seaborn). - Deep understanding of machine learning algorithms, model evaluation, and feature engineering. Experience with frameworks like scikit-learn, TensorFlow, or Pytorch. - Strong expertise in statistical modelling techniques such as regression, clustering, time series analysis, and hypothesis testing. - Experience of building & deploying machine learning models in cloud environment: Microsoft Azure preferred (Databricks, Synapse, Data Factory, etc.) - Knowledge of the MLOps process and AI governance - Ability to understand business objectives, market dynamics, and strategic priorities. Demonstrated experience translating data insights into tangible business outcomes and driving data-informed decision-making. - Excellent verbal and written communication skills - Proven experience leading data science projects, managing timelines, and delivering results within deadlines. - Strong collaboration skills with the ability to work effectively in cross-functional teams, build relationships, and foster a culture of knowledge sharing and continuous learning.

Location -Chennai MRC Nagar 5 days working from office Shift starts from 12/12:30 pm Job Title: NLP Researcher/Engineer About EXL Health Payments Analytics Who are we: EXL Service is a NASDAQ listed global analytics and digital solutions company with $1Billion+ revenue serving industries including insurance, healthcare, banking and financial services, media, retail etc. EXL Health contributes to $300M+ of which the Payment Integrity business contributes to $160M+. We are hiring for the EXL Health Payment Integrity's Analytics Center of Excellence (ACOE) team in Chennai: We are passionate individuals with growth/startup mindset to experiment, fail fast, learn, and contribute to our 5-fold growth story of 100M to 500M in 5 years. Our typical day: We are considered as a Digital ACOE for payment integrity by 5 of top 10 health insurance companies. We deal with billions of records each month. We do not charge these clients any consulting or resource-based billing upfront unlike typical analytics service companies, instead we make money by finding money/savings for these insurance companies. Position Overview: EXL Healthcare is seeking an NLP Researcher/Engineer with expertise in the latest generative AI/NLP stack to join our cutting-edge AI team. The ideal candidate is a self-starter with a strong passion for NLP and machine learning, demonstrated experience with large-scale text data, and a track record of building high-performance models. You will be responsible for developing and implementing state-of-the-art NLP models and algorithms, including Large Language Models (LLM). Working closely with a team of data scientists, engineers, and domain experts, you will create solutions that extract valuable insights from complex datasets, directly impacting our products and services. Key Responsibilities: Design, develop, and deploy NLP models and algorithms, including LLM. Preprocess and clean large text datasets for analysis and modeling. Conduct exploratory data analysis (EDA) to understand data patterns. Implement machine learning and deep learning models to solve NLP problems. Optimize and fine-tune LLM/DL models for performance and scalability. Collaborate with cross-functional teams to integrate NLP solutions into products and services. Stay up to date with the latest research in NLP, machine learning, and LLMs. Communicate findings and insights to technical and non-technical stakeholders through reports, presentations, and visualizations. Required Skills: Strong background in NLP, machine learning, and experience with LLMs. Proficiency in Python and SQL. Experience with NLP libraries/frameworks such as NLTK, spaCy, PyTorch, Hugging Face, LangChain, or LlamaIndex. Familiarity with data preprocessing techniques for large-scale text data. Experience with cloud platforms (e.g., AWS, GCP, Azure). Experience with LLM fine-tuning, RAG, PEFT, or Agent frameworks is a plus. Preferred Skills: Experience with fine-tuning and deploying transformer-based models for various NLP tasks. Knowledge of transfer learning and domain adaptation techniques for NLP. Familiarity with version control systems (e.g., Git) and collaborative development workflows. Experience with deploying models, including LLMs, in a production environment. Education: Bachelors and/or Master's in any Science/Engineering field.

As a Engineer, you will be joining a team transforming healthcare and improving the lives and vitality of the millions of members we serve. We leverage cutting edge Artificial Intelligence (AI) and Machine Learning (ML) algorithms to develop solutions for automated document processing and customer service chat bots. We are looking for an experienced AI Engineer to join our team. The ideal candidate will have a background in backend engineering or data engineering with a strong foundation in Python and system integrations. The candidate should have hands-on experience in developing applications with advanced Python concepts, as well as expertise in integrating systems both in cloud and on-prem environments. You will be instrumental in building scalable, robust systems while integrating AI-based capabilities into our solutions. Key Responsibilities: Develop and maintain backend applications using Python, ensuring high performance and scalability. Implement advanced Python concepts such as Gang of Four patterns, asynchronous programming, and decorators to optimize application efficiency. Build and maintain APIs using frameworks like FastAPI and Django. Use Pydantic for data validation and modeling. Integrate various systems, including databases and APIs, both within cloud environments and on-premises systems. Handle transaction management, failure handling, validation, and retries to ensure reliability and fault tolerance. Work with cloud services, preferably AWS, for building and deploying scalable systems. Collaborate with cross-functional teams to integrate AI features into applications. Work with tools like Langchain, Langraph, and Agentic (experience is a plus) to enhance AI capabilities. Desired Qualifications: 11 to 13 years of application development experience with a focus on backend engineering or data engineering and transitioned into AI. Atleast 3+ years of Hands-on experience with Python frameworks such as FastAPI, Django, and Pydantic. Strong proficiency in Python and experience with advanced programming concepts. Experience in system integration across cloud and on-premises platforms. Familiarity with transaction management, failure handling, validation, and retries. Experience with cloud platforms, particularly AWS. Knowledge of AI tools and libraries (Langchain, Langraph, Agentic) is a plus. Solid understanding of backend application development principles and best practices. Strong problem-solving skills and the ability to adapt to new challenges in a fast-paced environment. Education and Training Required: Degree in Computer Science, Artificial Intelligence, or a related field.

We are looking for an experienced and proactive Technical Product Owner (System Analyst) to join our AI-focused team. As a key liaison between the onshore Product Owner and the offshore development and QA team, you will be responsible for owning the product roadmap, defining technical requirements, and driving the implementation of backend and AI initiatives. This role is ideal for someone with strong technical expertise, exceptional communication skills, and a passion for delivering high-quality products in collaboration with cross-functional teams. Key Responsibilities: Collaborate with the onshore Product Owner to translate business objectives into detailed technical requirements and actionable tasks. Own the product roadmap and backlog, ensuring alignment with business priorities and team capacity. Act as the primary point of contact for the offshore development and QA team, ensuring clear communication of requirements, priorities, and timelines. Work closely with developers and QA engineers to design, validate, and deliver high-quality AI-integrated backend systems and workflows. Define acceptance criteria and review deliverables to ensure they meet functional, technical, and business requirements. Facilitate sprint planning, daily stand-ups, retrospectives, and other Agile ceremonies for the offshore team. Drive the adoption of best practices for backend development, system integration, and AI implementation. Monitor and report on the progress of initiatives, identifying risks and ensuring timely resolution of blockers. Maintain a strong understanding of the technical stack, including Python-based backend systems, APIs, and cloud services (preferably AWS). Advocate for continuous improvement in processes, tools, and team collaboration. Qualifications: 8 to 11 years of experience as a Technical Product Owner, System Analyst, or similar role in a technology-focused environment. Strong technical background, with experience in backend systems, APIs, and cloud platforms. Excellent understanding of Agile methodologies and experience working in Agile teams. Proven ability to write clear and concise user stories, technical requirements, and acceptance criteria. Hands-on experience collaborating with development and QA teams, especially in offshore/onsite models. Knowledge of Python, system integrations, and cloud services like AWS is a significant advantage. Exposure to AI tools and workflows (e.g., Langchain, Langraph, Agentic) is a plus. Exceptional communication and leadership skills, with the ability to influence and motivate cross-functional teams. Strong problem-solving and analytical skills, with a focus on delivering high-quality solutions. What We Are Looking For: A proactive leader capable of owning the product and driving initiatives from concept to delivery. A collaborative team player who can bridge the gap between business stakeholders and technical teams. Someone with a passion for technology, particularly AI, and a desire to continuously improve products and processes. Education and Training Required: Degree in Computer Science, Artificial Intelligence, or a related field.

About the Role : We are seeking a highly motivated and skilled AI-Focused Full Stack Developer to join our dynamic team. You will be instrumental in building and maintaining cutting-edge web applications that leverage the power of artificial intelligence. This role requires a strong foundation in both frontend and backend development, with a particular emphasis on AI scripting and integration. You will be responsible for developing robust, scalable, and user-friendly applications that seamlessly blend web technologies with advanced AI functionalities. Responsibilities : - Develop and maintain backend applications using Python frameworks (Django, Flask, or FastAPI). - Build and maintain interactive and responsive user interfaces using React.js. - Integrate and implement AI functionalities using tools like OpenAI, LangChain, TensorFlow, PyTorch, or similar. - Design and develop efficient and secure RESTful APIs for seamless communication between frontend and backend. - Implement and manage database solutions, including both SQL and NoSQL databases. - Deploy and manage applications using Docker and Kubernetes, ensuring scalability and reliability. - Implement and maintain CI/CD pipelines to automate builds, tests, and deployments. - Utilize Git and version control systems (GitHub, GitLab, or Bitbucket) for collaborative development and code management. - Troubleshoot and resolve technical issues across the full stack, with a focus on AI integration and performance. - Collaborate effectively with cross-functional teams, including product managers, AI researchers, and designers. - Stay up-to-date with the latest advancements in AI, web development, and cloud-native technologies. Required Skills & Qualifications : - AI Scripting : Proven experience with AI scripting tools like OpenAI, LangChain, TensorFlow, PyTorch, or similar. - Python Development : 3+ years of experience in Python development, with proficiency in Django, Flask, or FastAPI. - React.js Development : 3+ years of experience in React.js and frontend development, with a strong understanding of modern JavaScript and TypeScript. - API Development : Proficiency in designing and developing efficient and secure RESTful APIs. - Frontend Technologies : Strong knowledge of JavaScript, TypeScript, and modern frontend frameworks and libraries. - Database Management : Hands-on experience with database management, including both SQL and NoSQL databases. - Containerization & Orchestration : Experience with Docker and Kubernetes for containerization and orchestration. - CI/CD : Experience with CI/CD pipelines and tools for automated deployments. - Version Control : Familiarity with Git, GitHub, GitLab, or Bitbucket for version control and collaborative development. - Problem-Solving : Strong problem-solving skills and the ability to work independently, taking initiative to resolve complex issues.

Very Urgent: AI Tech Specialist Company: AurumData Solutions Location: Hyderabad Experience: 10-15 Years (5+years in AI) Work type: Work From Office Key skills: AI, Python, Data analysis, LLM, TensorFlow, PyTorch, SQL, RAG, NLP, LangChain, LangGraph, SQL etc.. # AI Specialist Position Analysis This job description outlines a role for an AI Specialist who will be responsible for developing and implementing AI solutions across various domains. Here's a breakdown of the key aspects: ## Core Responsibilities - Developing AI models and algorithms - Implementing machine learning techniques for data analysis - Creating NLP applications (chatbots, virtual assistants) - Data preprocessing and feature engineering - Model evaluation and optimization - Research and innovation in AI - Cross-functional collaboration - Technical documentation ## Required Skills - Strong background in machine learning and deep learning - Python programming with frameworks like TensorFlow and PyTorch - Independent project management capabilities - Data science workflow experience - Cloud platform knowledge (AWS, Google Cloud, Azure) - Problem-solving with practical solutions - **Experience with vector databases** - **Knowledge of Large Language Models (LLMs)** - **Implementation of Retrieval-Augmented Generation (RAG) systems** - **Experience with LLM fine-tuning techniques** - **Expertise in fine-tuning LLMs for specific domains/tasks** - **Front-end development skills** for AI application interfaces - **Proficiency with Pydantic** for data validation and settings management - **Experience developing agentic frameworks** for autonomous AI systems - **Familiarity with LangChain** for building LLM applications - **Knowledge of Hugging Face** ecosystem and model hub - **Experience with LangGraph** for building complex, multi-agent systems ## Qualifications - Bachelor's or Master's in Computer Science, AI, or related fields - Experience in startup environments - Passion for AI applications This position combines traditional machine learning expertise with cutting-edge LLM technologies and practical application development skills. The role requires experience across the full AI development stack, from data management and model fine-tuning to building sophisticated agent-based systems and user-facing applications. If you are interested, kindly send your CVs to Balaram@aurumdatasolutions.com Regards, Balaram K Mobile No: +91- 9000749410 / 9848771366 USA: +1 (346) 999 0801 Email: Balaram@aurumdatasolutions.com

We are looking for AI/ML Engineer. If interested, apply on below link. Apply -> https://usource.ripplehire.com/s/occG Job Title: Senior AI/ML Engineer Experience Range: 4+ years Notice Period: 0-30Days Hiring Location: Trivandrum, Kochi, Hyderabad, Chennai, Banaglore Must-Have Skills: AI/ML frameworks (PyTorch, TensorFlow) and Python programming. Experience with AWS services, including AWS Bedrock and Lambda functions. Hands-on expertise in LangChain (agents, chains, memories, parsers, document loaders). Proficiency in developing and optimizing GenAI, NLP models, and CrewAI. Building and deploying RAG (Retrieval-Augmented Generation) systems, chatbots, and AI applications using OpenAI APIs, Ollama, Llama, and llamaparse. Advanced prompt engineering techniques, including Chain of Thought (CoT) prompting. Experience with Docker, CI/CD pipelines, writing YML files, and managing repositories in GitHub. Strong understanding of system design principles, including security, scalability, and performance optimization. Good-to-Have Skills: Experience in responsible AI practices, including guardrails and moderation mechanisms. Knowledge of event-driven architecture and AWS services beyond Bedrock and Lambda. Familiarity with cloud deployments and Kubernetes. Experience with large-scale AI model training and fine-tuning.

We're Nagarro. We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (18000+ experts across 38 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in! REQUIREMENTS: Total experience 10+ years Excellent working experience in designing and developing prompt engineering strategies and techniques to optimize the performance and output of our GenAI models. Experience in AI/ML, with a strong focus on Natural Language Processing (NLP) and Prompt Engineering. Experience in Pyhton coding or Langchain. Proven experience in GenAI, specifically with platforms like OpenAI, 4o or o1 or Gemini Expertise in cloud environments and managing AI models on the cloud Proficiency in Python and R programming Strong understanding of LLMs (Large Language Models), NLP, and AI/ML methodologies. Experience in Data Analysis and utilizing it to enhance prompt generation. Hands on working experience in Azure system. Excellent leadership skills to lead teams, mentor junior engineers, and drive innovation. Strong verbal and written communication skills, with the ability to articulate complex concepts. RESPONSIBILITIES: Writing and reviewing great quality code Understanding the clients business use cases and technical requirements and be able to convert them in to technical design which elegantly meets the requirements Mapping decisions with requirements and be able to translate the same to developers Identifying different solutions and being able to narrow down the best option that meets the clients requirements Defining guidelines and benchmarks for NFR considerations during project implementation Writing and reviewing design document explaining overall architecture, framework, and high-level design of the application for the developers Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it Understanding and relating technology integration scenarios and applying these learnings in projects Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken Carrying out POCs to make sure that suggested design/technologies meet the requirements.

We are looking for an experienced and passionate AI/ML Developer with over 3 years of hands-on experience in building and deploying scalable AI applications. The ideal candidate will have strong expertise in Google Cloud Platform (GCP), Vector Search, Vertex AI, and LLM tools like Gemini and LangChain. This role involves developing intelligent workflows, secure and scalable infrastructure, and real-time intent detection systems across multiple user flows. As part of our tech team, you will play a key role in developing cutting-edge GenAI products and AI-powered APIs. The role demands a strong understanding of backend development (FastAPI/Python), integration with cloud services, and deployment automation through DevOps practices. Key Responsibilities: Develop and deploy AI/ML models using Vertex AI and GCP. Design and implement vector search pipelines using GCP services. Integrate LLMs (e.g., Gemini) with LangChain for context-aware interactions. Build secure, scalable APIs with FastAPI and Python. Implement prompt engineering strategies for improved AI outputs. Design multi-flow intent detection systems with high accuracy. Collaborate with the DevOps team for CI/CD automation using GitHub. Ensure secure infrastructure practices on GCP. Continuously optimise performance and accuracy of ML pipelines. Required Skills: 3+ years of experience in AI/ML development. Hands-on experience with Vector Search using GCP . Proficiency in Vertex AI , Gemini , and Prompt Engineering . Experience with LangChain and LLM integration. Strong in Python and FastAPI backend development. Knowledge of Intent Detection across multiple conversation flows. Good understanding of Secure Cloud Infrastructure on GCP. DevOps experience with GitHub CI/CD workflows. Experience working with Firestore NoSQL databases. Strong problem-solving and communication skills.

We need a professional with: Deep passionate about technology and keeping the systems and your knowledge updated. Eagerness to work in a fast-paced dynamic environment for a quickly growing company. One who is looking for high visibility and unlimited growth potential. Willing to learn and work on additional technologies and platforms. Strong agile skills and a penchant for technology Specifically. This role will involve: Confirm project requirements by reviewing Product objective, input data, and output requirements with Engineering Manager, Product Manager, and client. Prioritize project requirements in programming sequence within full SDLC in Agile Scrum method. Collaborate with Product Management to understand the acceptance criteria and with QA to do test-driven development. Create solutions architecture, algorithms, and designs for solutions that scale to the customer's enterprise/global requirements. Do elegant programming which should be solving the problem and has decent performance, succinct, simple, easy to understand, modular, reusable and maintainable. Use coding standards and guidelines and standardize the code with effective use of advanced algorithms, design patterns, and development frameworks. Do the required unit testing and effectively monitor quality throughout the implementation. Develop a thorough and deep understanding of the Product Business Logic up to the SME level. Engage sophisticated global customers in deep technical discussions, making them confident that you know their problem better than they do. Maintain professional and technical knowledge by attending educational workshops, continue education by reading articles, publications and attending user groups. Essential experience and skills: 6+ years of experience as a developer/Sr developer Problem-Solving: The ability to approach complex problems systematically and come up with effective solutions. Communication: Clear communication skills for explaining complex technical concepts to non technical stakeholders and collaborating with global team members. Teamwork: Ability to work in interdisciplinary teams comprising machine learning engineers, data scientists, software developers, and possibly domain experts. Critical Thinking: Capacity to critique existing methods and theories and propose improvements or alternatives. Ethical Awareness: Given that GPT and similar technologies can have far-reaching societal impacts, an understanding of the ethical implications is important. Adaptability: Machine learning and NLP are rapidly evolving fields, so a willingness to learn and adapt to new methods and technologies is crucial. Attention to Detail: With machine learning models, small changes can sometimes have big impacts, so careful attention to detail is critical. Technical skills: Machine Learning Algorithms: Understanding of machine learning algorithms, especially deep learning models like Transformers, is crucial. This can include various types of neural networks, optimization techniques, and loss functions. Natural Language Processing (NLP): Knowledge of NLP techniques, text representation methods, and language models. Programming Languages: Proficiency in languages commonly used in machine learning such as Python/Java/Node. Library/Framework Proficiency: Familiarity with machine learning libraries like TensorFlow, PyTorch, or JAX. High-Performance Computing: Understanding of parallel computing, GPU acceleration, and distributed systems for training large models. Data Manipulation and Analysis: Skills in data preprocessing, transformation, and analysis are crucial, often involving libraries like Pandas, NumPy, or specialized tools for handling large datasets. DevOps and Infrastructure: Knowing how to set up and maintain machine learning pipelines, from data collection to model training to inference, possibly using cloud platforms like AWS, GCP, or Azure. Optimization: Understanding of both algorithmic and hardware optimization techniques to make training and inference more efficient. Version Control: Proficiency with version control systems like Git to manage codebase changes.

Job Description: GenAI Developer (LangChain, LangGraph, VectorDB, LLMs, MCP, Embedding, RAG) Position Overview: We are looking for an experienced and motivated GenAI Developer to join our team in building cutting-edge applications powered by GenAI technologies. As a GenAI Developer, you will work with LangChain, LangGraph, Vector Databases, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) to create intelligent, scalable, and efficient AI-driven applications. You will play a key role in integrating these advanced technologies into real-world use cases, including text generation, knowledge retrieval, and recommendation systems. Key Responsibilities: LangChain Development: Develop GenAI applications using LangChain, including building chains, agents, and integrations for a variety of use cases. LangGraph Development: Utilize LangGraph for building workflow agents, controlling states, and developing intelligent decision-making systems. Vector Database Integration: Design, implement, and maintain vector database solutions (e.g., Qdrant, Pinecone, FAISS) for efficient storage and retrieval of embeddings. LLM Integration: Leverage LLMs to generate high-quality outputs for various use cases, such as conversational agents, document summarization, or content generation. Embedding Building: Develop embeddings for text, images, and other media to integrate into retrieval systems and enhance search relevance and accuracy. RAG Implementation: Design and implement RAG workflows to improve accuracy and context in AI applications by combining real-time retrieval with language model generation. MCP Integration: Work with the Microsoft Cognitive Platform (MCP) for AI and cognitive services, integrating them with LangChain and LangGraph for enhanced capabilities. Optimization & Fine-Tuning: Continuously optimize AI models, embeddings, and retrievers for performance and efficiency. Collaboration & Problem-Solving: Work closely with product managers, data scientists, and other engineers to understand business needs and deliver AI-driven solutions. Required Skills & Qualifications: Technical Skills: LangChain : Hands-on experience with LangChain for developing intelligent workflows, managing chains, and leveraging its powerful capabilities for building GenAI applications. LangGraph : Proficiency in LangGraph for designing advanced workflows and agents with state management, decision-making, and loops. Vector Databases (e.g., Qdrant, Pinecone, FAISS) : Experience working with vector databases to manage and search embeddings, and optimize large-scale retrieval tasks. Large Language Models (LLMs) : In-depth understanding of LLMs, such as GPT, BERT, and other transformer-based architectures, and how to integrate them into GenAI applications. Embedding Creation and Integration : Expertise in building embeddings using models like sentence-BERT, OpenAI embeddings, or custom models for a variety of data types (text, images, etc.). Retrieval-Augmented Generation (RAG) : Proven experience in designing and implementing RAG systems that combine real-time retrieval with language model generation. Microsoft Cognitive Platform (MCP) : Familiarity with integrating Microsoft Cognitive Services, such as Azure Cognitive Search, Azure OpenAI, or other Microsoft AI tools, into GenAI applications. Model Context Protocol (MCP) - Building or exposing Resources , Prompts , tools to LLM based AI Agents . Natural Language Processing (NLP) : Strong understanding of NLP techniques, including text classification, entity recognition, sentiment analysis, and text summarization. AI Model Optimization : Experience in model fine-tuning, prompt engineering, and optimizing LLMs for specific tasks. APIs & Microservices : Familiarity with designing and consuming RESTful APIs, and microservice architecture for scalable AI solutions. Additional Skills: Cloud Platforms (Azure, AWS, GCP) : Experience deploying GenAI applications on cloud platforms such as Azure, AWS, or Google Cloud, with an emphasis on cloud-based AI solutions. Machine Learning Frameworks : Knowledge of popular ML frameworks, such as TensorFlow, PyTorch, or Hugging Face, and how to use them for model training and inference. Data Engineering : Strong skills in handling large datasets, including data preprocessing, data cleaning, and data augmentation, to support AI model training. Version Control : Proficiency with Git and GitHub for version control, collaborative development, and code review processes. Problem-Solving & Analytical Thinking : Excellent problem-solving skills with a strong analytical mindset to break down complex AI challenges into manageable components. Collaboration & Communication : Strong teamwork and communication skills to effectively collaborate with cross-functional teams and deliver high-impact solutions. Preferred Qualifications: Advanced Degree : A degree in Computer Science, Data Science, AI, or a related field. GenAI Application Development : Experience in building AI-driven applications or platforms with a focus on generative models, search systems, and conversational AI. Familiarity with LlamaIndex, FAISS, or Similar Tools : Knowledge of popular vector search tools and libraries beyond LangChain and LangGraph is a plus.

Job Description: We are seeking a highly skilled and experienced Senior Deep Learning Engineer to join our dynamic team. As a Senior Deep Learning Engineer, you will be responsible for leading the development and implementation of state-of-the-art deep learning algorithms and models to solve complex problems in industry. The ideal candidate should have a strong background in deep learning, machine learning, and computer vision, along with hands-on experience in deploying deep learning solutions in real-world applications. Work Type : Full Time , Work From Office - Hyderabad Location. Required Experience and Qualifications: Bachelor's, Master's degree in Computer Science, or a related field. Minimum of 5 years of professional experience in deep learning, machine learning, and computer vision. Hands-on experience with latest LLMs, fine-tuning of LLMs, and LangChain. Strong proficiency in Python and deep learning framework PyTorch, Keras, scikit-learn. Experience in training and optimizing deep learning models on large-scale datasets. Solid understanding of neural network architectures and optimization techniques. Excellent problem-solving skills and ability to work independently and collaboratively in a fast-paced environment. Strong communication skills with the ability to effectively communicate complex technical concepts to both technical and non-technical stakeholders. Experience with deploying deep learning models in production environments. Hands-on experience with APIs, primarily utilizing Django and FastAPI, along with proficiency in integrating them with relational databases such as PostgreSQL or MySQL. A strong grasp of object-oriented design principles and analysis.

Greetings from SwaaS! Senior AI/ML Developer (Lead Role) Location: Guindy, Chennai [Work from office] Experience: 3 - 5 years Tech Stack: Python, Node.js (Javascript), LangChain, LLama Index, OpenAI API, Perplexity.ai API, Neo4j, Docker, Kubernetes Roles & Responsibilities: Lead the integration of Perplexity.ai and ChatGPT APIs for real-time chatbot interactions. Design and implement intent extraction and NLP models for conversational AI. Design and Implement RAG (Retrieval-Augmented Generation) pipelines for context-aware applications Guide junior developers and ensure best practices in LLM application development. Set up Python API security, and performance monitoring. Requirements: Deep knowledge of NLP, LLMs (ChatGPT, GPT-4, Perplexity.ai, LangChain). Experience with Graph Databases (Neo4j) and RAG techniques. Familiarity with vector databases (Pinecone, Weaviate, FAISS). Strong expertise in Python (FastAPI, Flask) and/or Node.js (Express, NestJS). Good to have - experience with containerization (Docker, Kubernetes). Excellent problem-solving skills and experience leading a small AI/ML team.