871 Rag Jobs

Total exp : 6 years Relevant :3 years skills: RAG, LLM, Vector db, GenAI Job Location : Trivandrum Key Responsibilities: Design, build, and optimize RAG pipelines for document-level and multi-turn QA systems. Fine-tune or prompt-tune foundation models (LLMs) for domain-specific tasks. Develop and deploy ML/DL models to support NLP/NLU tasks like summarization, classification, and retrieval scoring. Integrate vector databases, semantic search tools, and embedding models for high-performance document retrieval. Work with unstructured and semi-structured data sources (PDFs, HTML, JSON, SQL, etc.). Collaborate with data engineers, ML engineers, and product teams to build end to-end generative AI solutions. Monitor performance, latency, and relevance metrics; iterate on retrieval and generation models. Implement prompt engineering strategies and hybrid approaches (rule-based + neural) to enhance model reliability. Contribute to research and innovation in applied generative AI, and stay up-to date with the latest in LLM, RAG, and MLOps ecosystems Key Skills Required: Strong experience with RAG architectures and hybrid retrieval systems. • Solid hands-on knowledge of LLMs (e.g., GPT, Mistral, LLaMA, Claude, DeepSeek, etc.) and embedding models (e.g., SBERT, OpenAI, HuggingFace models). Proficiency in machine learning / deep learning using PyTorch, TensorFlow, Hugging Face Transformers, etc. Experience with vector databases (e.g., FAISS, Weaviate, Pinecone, Qdrant). Experience in text chunking, retrieval scoring, prompt tuning, or LoRA/PEFT methods. Strong background in NLP, information retrieval, and knowledge graphs is a plus. Comfortable with Python and associated data science stacks (Pandas, NumPy, Scikit-learn). Experience working with real-world messy data (PDF parsing, OCR, HTML scraping, etc.) If interested kindly call share your resume at clarita.fernandes@sperton.com Regards, Clarita

Job Title: AI/ML Engineer Experience: 4 To 8 Years Location: Bangalore Key Responsibilities Design, build, and optimize AI/ML solutions for enterprise applications. Develop Generative AI applications with workflows such as RAG Build and deploy AI agents using frameworks like LangGraph, Crew, or PydanticAI . Implement LLM integration and optimize Prompt Engineering workflows (Eg ., GPT, Claude, LLaMA). Collaborate with cross-functional teams to integrate AI solutions into production systems. Utilize Databricks, REST APIs, WebSockets, and event-driven architectures for scalable deployments. Ensure adherence to SDLC best practices, CI/CD pipelines (Jenkins), and Git-based workflows. Leverage AI-augmented development tools for rapid prototyping. Knowledge of enterprise security, compliance, and governance in AI systems. Familiarity with model lifecycle and code management best practices . Required Skills 35 years of experience in Machine Learning/Artificial Intelligent. Experience in Generative AI application development. Strong proficiency in Python and modern software development practices. Hands-on experience with LLMs and prompt engineering . Experience in cloud-native deployment strategies . Strong understanding of agile methodologies and collaborative development . Exposure to MLOps/LLMOps workflows and model monitoring .

Candidate Specifications : 6+ years, Notice Period - Immediate to 30 days Develop and orchestrate AI workflows using LangGraph and LangChain. Design and implement multi-agent systems and tool orchestration for enterprise use cases. Build and optimize RAG (Retrieval-Augmented Generation) pipelines with vector databases (Pinecone, Weaviate, ChromaDB, FAISS). Integrate LLMs from OpenAI, Anthropic, Hugging Face, Cohere, or Azure OpenAI. Build backend services and APIs (FastAPI/Flask) for deploying AI-powered applications. Ensure data security, prompt safety, and guardrails for responsible AI deployments. Deploy and monitor applications on cloud platforms (AWS, Azure, GCP). Implement CI/CD pipelines, containerization (Docker/Kubernetes), and observability tools (Langfuse, LangSmith). Collaborate with product, data, and frontend teams to deliver end-to-end GenAI applications. Contact Person - Christopher Email - christopher@gojobs.biz

About us: University Living is a global student housing marketplace that helps international students find the best place to stay near university campuses around the world. Currently, our platform offers 2Mn beds in 65K + properties across 512+ international education hubs in the UK, Ireland, USA, Canada, Europe, Australia, New Zealand, Singapore & UAE. Students can consult a 24/7 support team of accommodation experts to discover, compare and book value-for-money accommodation based on their budget, desired location, and other personal preferences. As the AI & ML Lead, you will spearhead the development of our conversational AI system. You will define the technical strategy, lead model design and implementation, and work on large language models (LLMs) to fine-tune, deploy, and optimize human-like conversational agents. This role involves hands-on development, collaboration with cross-functional teams, and leveraging tools such as OpenAI and cloud systems like AWS for scalable AI deployments. Key Responsibilities Lead the design and development of LLM-based AI models Integrate voice APIs and platforms (e.g., Twilio, Exotel, ElevenLabs) for seamless call handling and speech workflows. Implement Retrieval-Augmented Generation (RAG) to improve response relevance and accuracy Deploy and manage AI models on cloud infrastructure (AWS/GCP/Azure) Establish MLOps practices, model monitoring, and version control. Stay updated on GenAI trends, LLM research, and speech tech advancements Required Qualifications 6+ years of hands-on AI/ML experience, with a strong focus on NLP, LLMs, and conversational AI. Proven expertise in fine-tuning and deploying large language models (e.g., GPT, OpenAI models, BERT). Strong understanding of ASR, speech recognition, & text-to-speech (TTS) Proficiency in Python and ML frameworks like TensorFlow or PyTorch. Experience with cloud-based AI deployments (AWS/GCP/Azure). Knowledge of RAG techniques, vector databases, and real-time inference pipelines. Strong problem-solving skills and experience leading AI/ML teams or projects.

We are looking an AI Developer to support the implementation, integration, and testing of AI-based projects. The role will focus on developing and prototyping AI solutions including AI agents and classification tools and contributing to improvements in performance, usability, and data quality. Design, implement, and test AI-based tools using model parameters, prompting methods, and modern AI frameworks (e.g., AWS Bedrock). Develop prototype and operational classification tools for evaluation and eventual adoption. Build prototype and operational AI agent tools for use by internal and external stakeholders. Enhance AI tools through context analysis, prompt engineering, RAG (retrieval-augmented generation), and advanced term processing . Contribute to analysis of data consistency and ground truth quality (examiner data). Document all implementations, methodologies, and outcomes. Work with Java-based web application development for prototyping AI solutions. Interested? Please send your updated CV to jobs.india@pixelcodetech.com , and a member of our resource team will be in touch.

Key Responsibilities Design and implement agentic AI solutions leveraging LLMs and multi-agent frameworks. Develop autonomous task-driven AI workflows for use cases such as research automation, client servicing, KYC, compliance, and operational efficiency. Collaborate with product managers, data scientists, and engineers to integrate AI agents into Fidelity platforms. Apply prompt engineering, RAG (Retrieval Augmented Generation), and tool orchestration for intelligent decision-making. Optimize model performance, reliability, and alignment with business and compliance requirements. Implement monitoring, evaluation, and governance frameworks for AI agents in production. Contribute to Fidelitys AI Centre of Excellence, driving innovation and best practices. Call : 9136498982 .

Role & responsibilities We are looking for Prompt Engineer (Gen AI) permanent position with MNC company for Mumbai (Goregaon) location for Hybrid mode.

Role & responsibilities We are looking for Technical Delivery Manager (Gen AI) permanent position with MNC company for Mumbai (Goregaon) location for Hybrid mode.

Job Title: Principal Data Scientist Location: Noida Employment Type: Full-time Responsibilities: Convert broad vision and concepts into a structured data science roadmap and guide a team to successfully execute on it Collaborate with AI Product managers, UI/UX, stakeholders, etc. to design, develop, and deploy AI/LLM models Good in fine-tuning, and optimization of LLMs like Open AI, Gemini AI, Copilot, and open-source models like LLAMA, DeepSeek, and BERT Hands-on experience in Prompt Engineering and RAG for real-world applications Develop Conversational AI, ChatBots, VoiceBots using modern NLP frameworks like SpaCy, Rasa, LangChain, Hugging Face Use vector databases like Pinecone, Vertex AI, ChromaDB, or SingleStore to manage embeddings at scale Deploy and monitor models on cloud platforms like Azure and GCP Lead client engagements, RFP responses generation, and PoC development for both internal and external stakeholders Provide technical guidance, code reviews, and performance optimization support Expertise in designing solutions using semantic search and vector embeddings Translate high-level business goals into measurable, AI-powered deliverables Proven ability to discover solutions hidden in large datasets and to drive business results with their data-based insights Contribute to internal product development initiatives related to data science. Drive excellent project management skills required to deliver complex projects, including effort/time estimation Be proactive, with full ownership of the engagement. Build scalable client engagement level processes for faster turnaround & higher accuracy Qualifications: A B.Tech / M.Tech / MBA from a top tier Institute preferably in a quantitative subject 10+ years of hands-on experience in applied Machine Learning, AI and analytics Experience of scientific programming in scripting languages like Python, R, SQL, NoSQL, Spark with ML tools & Cloud Technology (AWS, Azure, GCP) Expertise in Python libraries such as numpy, pandas, scikit-learn, tensor-flow, scrapy, BERT etc. Strong expertise in Machine Learning, Deep Learning, Data mining, and Statistical concepts and experience in developing models and solutions in these areas Expertise in client engagement, understanding complex problem statements, and offering solutions in the domains of Supply Chain, Manufacturing, CPG, Marketing etc. Strong publication record in top-tier journals and conferences. Functional thought leader, sought after for key tech decisions. Can successfully sell ideas to an executive level decision maker. Mentors and trains the research scientist community on complex technical issues. Experience developing software in traditional programming languages (C++, Java, etc..). Excellent written and spoken communication skills About Us E-Solutions is a leading AI consulting firm delivering cutting-edge solutions across recruitment & staffing, IT services, finance, retail, education, and manufacturing. We specialize in building advanced AI/ML products including large-scale recommender systems, LLM-based chatbots, AI-powered resume engines, GenAI copilots, and enterprise-wide automation systems. As part of our growing AI leadership team, we are looking for a Principal Data Scientist who can architect, lead, and implement end-to-end AI/ML solutions using the latest in Generative AI, LLMs, Vector Databases, and NLP frameworks. Reimagine the Future of IT Consulting & Development with ML, GenAI, & Agentic AI At E-Solutions, we empower global businesses by enhancing their IT infrastructure and software capabilities. Over two decades, weve grown into a trusted global partner, operating in 35+ countries with a team of 5,000+ professionals. Our expertise in Managed IT Services and Software Product Engineering, combined with robust testing, cloud solutions and AI/ML/Gen AI in NLP & Computer Vision domains ensures that the enterprise thrives in a competitive digital landscape. E-Solutions has achieved significant success in implementing ML/GenAI/Agentic AI projects like AI enabled matching of professionals profiles based on customer requirements, Agentic AI based end-to-end recruitment platform which will process & summarize customer requirements and AI agent will conduct online interviews and have efficient assessment to retrieve relevant profiles, Conversational AI Engine, Detecting Suspicious Behaviour during interviews etc. Simultaneously, the company successfully executed mergers and acquisitions, driving significant growth and expansion and embarking on a transformative digital journey. Join us to be the part of this innovative journey to build cutting-edge advance Agentic AI platform to deliver AI/ML/GenAI use cases across industries. Show more Show less

We are looking for AIML - Lead / Associate Architect / Architects to Join us as early as possible Experience - 8+ years Location - Bangalore (Hybrid) Notice Period - 0 to 45 days Interview Process - 3 to 4 level interviews (One level will be In Person interview at Aziro Chennai / Bangalore / Noida / Pune Office) Job Description: We are looking for a highly skilled Python Developer with hands-on experience in Generative AI platforms (such as Agentforce, N8, Microsoft Copilot Studio, or equivalent) and proficiency in GitHub workflows. The role involves building, integrating, and deploying intelligent applications that leverage modern AI frameworks and automation capabilities. Key Responsibilities Design, develop, and optimize applications using Python. Build and integrate solutions using Generative AI platforms (Agentforce, N8, MS Copilot Studio, or similar). Develop AI-powered agents, copilots, and workflow automation tools for business use cases. Collaborate with cross-functional teams to translate business requirements into scalable technical solutions. Manage source code, versioning, and collaboration using GitHub (repos, actions, CI/CD). Conduct code reviews, testing, and debugging to ensure performance and reliability. Stay up to date with the latest advancements in AI/ML, automation, and software engineering practices. Required Skills & Qualifications Strong programming expertise in Python (APIs, data structures, automation scripts, frameworks). Experience with Generative AI platforms (Agentforce, N8, Microsoft Copilot Studio, or other LLM-based platforms). Understanding of AI/ML concepts, prompt engineering, and conversational AI. Proficiency in GitHub for version control, collaboration, and CI/CD workflows. Experience with REST APIs, JSON, and cloud integrations (Azure, AWS, or GCP preferred). Problem-solving mindset with ability to work in agile environments. Nice-to-Have Skills Exposure to LangChain, LlamaIndex, or RAG-based architectures. Knowledge of DevOps tools (Docker, Kubernetes, Terraform). Familiarity with data processing libraries (Pandas, NumPy) and visualization tools. Contributions to open-source projects on GitHub.

We are looking for Python + AIML Candidates to join us as soon as possible !! Key Skills : Python (Development / Programming Experience Must) + AIML (GenAI / Langchain / RAG / Semantic Search / LLM / NLP) Experience - 5 to 10 yrs Notice Period - Immediate to 45 Days Job Location - Bangalore (Hybrid) Interview Process : 3 to 4 level interviews (which will include one level In person interview from Chennai / Pune / Bangalore / Noida location) Job Description: We are looking for a highly skilled Python Developer with hands-on experience in Generative AI platforms (such as Agentforce, N8, Microsoft Copilot Studio, or equivalent) and proficiency in GitHub workflows. The role involves building, integrating, and deploying intelligent applications that leverage modern AI frameworks and automation capabilities. Key Responsibilities Design, develop, and optimize applications using Python. Build and integrate solutions using Generative AI platforms (Agentforce, N8, MS Copilot Studio, or similar). Develop AI-powered agents, copilots, and workflow automation tools for business use cases. Collaborate with cross-functional teams to translate business requirements into scalable technical solutions. Manage source code, versioning, and collaboration using GitHub (repos, actions, CI/CD). Conduct code reviews, testing, and debugging to ensure performance and reliability. Stay up to date with the latest advancements in AI/ML, automation, and software engineering practices. Required Skills & Qualifications Strong programming expertise in Python (APIs, data structures, automation scripts, frameworks). Experience with Generative AI platforms (Agentforce, N8, Microsoft Copilot Studio, or other LLM-based platforms). Understanding of AI/ML concepts, prompt engineering, and conversational AI. Proficiency in GitHub for version control, collaboration, and CI/CD workflows. Experience with REST APIs, JSON, and cloud integrations (Azure, AWS, or GCP preferred). Problem-solving mindset with ability to work in agile environments. Nice-to-Have Skills Exposure to LangChain, LlamaIndex, or RAG-based architectures. Knowledge of DevOps tools (Docker, Kubernetes, Terraform). Familiarity with data processing libraries (Pandas, NumPy) and visualization tools. Contributions to open-source projects on GitHub.

Python Development + Basic Gen AI – 4 to 15 Years Rest API - 2 Years Minimum Fast API/DJango/Flask-2 Years Gen AI/LLM Models - 1 Year Minimum Rag - 1 Year - Good to have Prompt Engineering - 1 Year Minimum

AI Models: Leverage large language models for natural language understanding and multimodal response generation.RAG Layer: Implement a vector search system to enhance search accuracy and relevance Agentic Framework Design and develop

Why this role exists Were scaling our AI product suite - invoice & contract and terms extraction, anomaly and overpayment detection, and analyst workflows for both internal and client users. We need a product leader who can turn ambiguous customer pain into shipped, secure, and measurable AI features that enterprise customers love and finance leaders trust. What youll own Strategy & Outcomes Define and own the AI product strategy and measurable outcomes for recovery, accuracy, and time-to-value across enterprise accounts. Translate market and customer signals (Procurement, AP, Audit, Infosec, Legal) into a prioritized roadmap with clear trade-offs. Product Discovery Run deep discovery with Fortune 1000 stakeholders and Discover Dollar analysts to map jobs-to-be-done, decision points, and data realities (SAP/Oracle/Coupa/Ariba exports, data lake, data warehouse extracts, contracts, invoices, emails, credit notes). Validate problems and solutions with prototypes (AI tools like Lovable, Replit, Figma, Low-code tools etc) and pilot metrics before committing engineering. Product Delivery Lead cross-functional squads (ML/DS, Backend, Frontend, Design, Data Platform, Security) to ship high-quality increments on a predictable cadence. Write crisp PRDs, acceptance criteria, and instrument the product for analytics/telemetry (events, funnels, precision/recall dashboards). Drive integrations and partner workflows (e.g., SAP S/4HANA, Oracle, Coupa/Ariba, RMS) with clear APIs and data contracts. AI/ML Product Craft Shape AI features such as document extraction (OCR + NLP), contract terms understanding, Complex Agentic AI workflows, LLM/RAG assistants for analysts, anomaly/risk scoring, and human-in-the-loop review. Partner with DS/ML on evaluation frameworks (offline/online), data labeling strategy, prompt & model versioning, and cost/performance tuning (latency, tokens, GPU/CPU budgets). Establish monitoring/guardrails: drift, bias, hallucination containment, red-teaming, feedback loops. Governance, Privacy & Security Embed privacy-by-design and enterprise controls (role-based access, audit logs, retention, encryption). Coordinate with customers InfoSec/Legal on DPAs, SOC 2/ISO 27001 alignment, data residency, and model risk documentation (model cards, DPIAs where needed). Customer & GTM Own product pilots, success criteria, and value realization (business cases, ROI). Enable Sales/CS with narratives, demos, pricing/packaging inputs, and win/loss insights. Collect structured feedback and convert it into backlog and experiments. What success looks like 30 days: Understand domain and data flows; publish product health baseline; ship a small improvement (e.g., analyst UX, cost reduction). 60 days: Deliver a validated AI feature MVP (e.g., improved clause extraction or anomaly ranking) to a pilot customer with a signed success plan. 90 days: Hit agreed accuracy + adoption targets; publish a 2-quarter roadmap tied to revenue and recovery dollars; formalize AI evaluation & monitoring dashboards. Key KPIs/metrics youll move Business impact: Verified recovery dollars, time-to-detect, time-to-close. Model quality: Precision/recall/F1 by use case; false positive rate; drift indicators. Efficiency: Cost per decision (tokens/compute), latency, analyst throughput. Adoption: Active users, task completion rate, retention, NPS/CSAT. Reliability & risk: Incident rate, hallucination guardrail triggers, SLA/SLO adherence. Must-have qualifications 5+ years in product management with at least 1 year of shipping AI/ML-powered features in production (LLMs/RAG/NLP/vision/ML detection). Track record in B2B enterprise SaaS with complex data and security needs; comfortable working with Procurement/AP/Finance stakeholders. Strong discovery and storytelling skills: can turn messy datasets and ops realities into a clear product narrative and roadmap. Technical depth to partner with DS/ML/Engineering understands evaluation metrics, A/B testing, data pipelines, API design, and basics of SQL/Python. Analytics-first: habit of instrumenting funnels, defining guardrails, and making decisions from dashboards and user studies. Excellent written communication (PRDs, RFCs, customer docs) and stakeholder management across Sales, CS, Legal, and Infosec. Bachelors in Engineering/CS/Math/Statistics or equivalent experience. Nice-to-have Domain exposure to Source-to-Pay, AP automation, recovery audit, contract analytics, or financial controls. Experience with SAP/Oracle/Workday/Coupa/Ariba data models and enterprise integrations. Familiarity with MLOps (MLflow/W&B), vector databases (FAISS/Pinecone), and eval frameworks for LLMs. Understanding of model risk management, secure AI patterns, and enterprise compliance expectations. Prior startup or zero-to-one product experience. Our current tech context (helpful, not required) AI Stack: LLMs (commercial & open-source Open AI, Llama, Claude), RAG pipelines, OCR + NLP for documents, Data stack: cloud object storage, relational DBs, event pipelines, analytics stack like Databricks, Elastic Search, Cloud Stack: Primarily Azure but build cloud agnostic product to make it deployable in AWS, GCP etc. Dev Stack: Python, Javascript, React Product tooling: Clickup (Jira equivalent), Postman, Figma How we work Bangalore-based hybrid team with collaboration across India and North America Pragmatic agile: weekly planning, monthly business reviews, quarterly product reviews tied to revenue and recovery outcomes. What youll get to do Ship AI that recovers real money for global enterprises. (Already saved over $1B+ with current product, need to 10X the impact) Build analyst-in-the-loop systems that blend human judgment with AI scale. Influence pricing/packaging and help define the category for AI-assisted recovery audit. Compensation & benefits Competitive with Bangalore market for Product Manager talent, plus benefits and performance incentives. (Well share details during the first call.)

AI / Gen AI Senior Data and Analytics team is a multi-disciplinary technology team delivering client projects and solutions across Data Mining & Management, Visualization, Business Analytics, Automation and Statistical Insights and AI/GenAI. The assignments cover a wide range of countries and industry sectors. The opportunity We are looking for a manager - AI/GenAI, proficient in Artificial Intelligence, Machine Learning, deep learning and LLM models for Generative AI, text analytics and Python Programming; will be responsible for developing and delivering industry sectors (Financial services; Consumer, product & Retail; Healthcare & wellness; Manufacturing; Supply chain; telecom; Real Estate etc.) specific solutions which will be used to implement the EY SaT mergers and acquisition methodologies. Your key responsibilities Develop, review, and implement Solutions applying AI, Machine Learning, Deep Learning, and develop APIs using Python. Having relevant understanding of Big Data and Visualization would be one-upping. Lead the development and implementation of Generative AI applications using both open source (Llama, BERT, Dolly etc.) and closed source (Open AI GPT models, MS Azure Cognitive Services, Googles Palm, Cohere etc.) Large Language Models (LLMS). Extensively work with advanced models such as GPT-3.5, GPT 4, Llama, BERT etc, for natural language processing and creative content generation using contextual information. Design and optimize solutions leveraging Vector databases for efficient storage and retrieval of contextual data for LLMs. Understand Business and Sectors, ability to identify the whitespaces and opportunities for analytics application. Work and manage large to mid-size projects, and ensure smooth service delivery on assigned products, engagements and/or geographies. Work with project managers to study resource needs and gaps and devise alternative ways forward. Provide expert reviews for all projects within the assigned subject. Ability to communicate with cross functional/competencies teams. Go to Market / Stakeholder Management. Skills and attributes for success Able to work creatively and systematically in a time-limited, problem-solving environment Loyal and reliable with high ethical standards Flexible, curious and creative, open for new things and able to propose innovative ideas Good interpersonal skills Team player, open, pleasure to work with and positive in a group dynamic Intercultural intelligence and experience of working in more than one country and/or multi-cultural teams with distributed delivery experience Ability to manage multiple priorities simultaneously to meet tight deadlines and drive projects to completion with minimal supervision To qualify for the role, you must have Experience of guiding teams on Projects focusing on AI/Data Science and Communicating results to clients Familiar in implementing solutions in Azure Cloud Framework Excellent Presentation Skills 3 - 7 years of relevant work experience in developing and implementing AI, Machine Learning Models- experience of deployment in Azure is preferred Experience in application of statistical techniques like Linear and Non-Linear Regression/classification/optimization, Forecasting and Text analytics. Familiarity with deep learning and machine learning algorithms and the use of popular AI/ML frameworks Minimum 4 years of experience in working with NLG, LLM, DL Techniques Relevant understanding of Deep Learning and neural network techniques Expertise in implementing applications using open source and proprietary LLM models Proficient in using Langchain-type orchestrators or similar Generative AI workflow management tools Experience with the software development life cycle (SDLC) and principles of product development Willingness to mentor team members Solid thoughtfulness, technical and problem-solving skills Excellent written and verbal communication skills Ideally, youll also have Ability to think strategically/end-to-end with result-oriented mindset Ability to build rapport within the firm and win the trust of clients Willingness to travel extensively and to work on client sites / practice office locations What we look for A Team of people with commercial acumen, technical experience and enthusiasm to learn new things in this fast-moving environment An opportunity to be a part of market-prominent, multi-disciplinary team of 3000 + professionals, in the only integrated global transaction business worldwide. Opportunities to work with EY SaT practices globally with prominent businesses across a range of industries What we offer EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations – Argentina, China, India, the Philippines, Poland and the UK – and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career. Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next. Success, as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way. Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs. Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

Manager AI / Gen AI Data and Analytics team is a multi-disciplinary technology team delivering client projects and solutions across Data Mining & Management, Visualization, Business Analytics, Automation and Statistical Insights and AI/GenAI. The assignments cover a wide range of countries and industry sectors. The opportunity We are looking for a manager –- AI/GenAI, proficient in Artificial Intelligence, Machine Learning, deep learning and LLM models for Generative AI, text analytics and Python Programming; will be responsible for developing and delivering industry sectors (Financial services; Consumer, product & Retail; Healthcare & wellness; Manufacturing; Supply chain; telecom; Real Estate etc.) specific solutions which will be used to implement the EY SaT mergers and acquisition methodologies. Your key responsibilities Develop, review, and implement Solutions applying AI, Machine Learning, Deep Learning, and develop APIs using Python. Having relevant understanding of Big Data and Visualization would be one-upping. Lead the development and implementation of Generative AI applications using both open source (Llama, BERT, Dolly etc.) and closed source (Open AI GPT models, MS Azure Cognitive Services, Google’s Palm, Cohere etc.) Large Language Models (LLMS). Extensively work with advanced models such as GPT-3.5, GPT 4, Llama, BERT etc, for natural language processing and creative content generation using contextual information. Design and optimize solutions leveraging Vector databases for efficient storage and retrieval of contextual data for LLMs. Understand Business and Sectors, ability to identify the whitespaces and opportunities for analytics application. Work and manage large to mid-size projects, and ensure smooth service delivery on assigned products, engagements and/or geographies. Work with project managers to study resource needs and gaps and devise alternative ways forward. Provide expert reviews for all projects within the assigned subject. Ability to communicate with cross functional/competencies teams. Go to Market / Stakeholder Management. . Skills and attributes for success Able to work creatively and systematically in a time-limited, problem-solving environment Loyal and reliable with high ethical standards Flexible, curious and creative, open for new things and able to propose innovative ideas Good interpersonal skills Team player, open, pleasure to work with and positive in a group dynamic Intercultural intelligence and experience of working in more than one country and/or multi-cultural teams with distributed delivery experience Ability to manage multiple priorities simultaneously to meet tight deadlines and drive projects to completion with minimal supervision To qualify for the role, you must have Experience of guiding teams on Projects focusing on AI/Data Science and Communicating results to clients Familiar in implementing solutions in Azure Cloud Framework Excellent Presentation Skills 9 - 14 years of relevant work experience in developing and implementing AI, Machine Learning Models- experience of deployment in Azure is preferred Experience in application of statistical techniques like Linear and Non-Linear Regression/classification/optimization, Forecasting and Text analytics. Familiarity with deep learning and machine learning algorithms and the use of popular AI/ML frameworks Minimum 4 years of experience in working with NLG, LLM, DL Techniques Relevant understanding of Deep Learning and neural network techniques Expertise in implementing applications using open source and proprietary LLM models Proficient in using Langchain-type orchestrators or similar Generative AI workflow management tools Minimum of 5-8 years of programming in Python Experience with the software development life cycle (SDLC) and principles of product development Willingness to mentor team members Solid thoughtfulness, technical and problem-solving skills Excellent written and verbal communication skills Ideally, you’ll also have Ability to think strategically/end-to-end with result-oriented mindset Ability to build rapport within the firm and win the trust of clients Willingness to travel extensively and to work on client sites / practice office locations What we look for A Team of people with commercial acumen, technical experience and enthusiasm to learn new things in this fast-moving environment An opportunity to be a part of market-prominent, multi-disciplinary team of 3000 + professionals, in the only integrated global transaction business worldwide. Opportunities to work with EY SaT practices globally with prominent businesses across a range of industries What we offer EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations – Argentina, China, India, the Philippines, Poland and the UK – and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career. Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next. Success, as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way. Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs. Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

***ONLY FOR IMMEDIATE JOINERS*** Role: AI Data Scientist Location: Gurugram / Bangalore Experience: 4+ Years Job Summary: Seeking an experienced AI/Data Scientist with 4+ years in building ML/DL solutions and deploying LLM-integrated systems. The role requires strong Python skills and a solid foundation in traditional ML, deep learning, and modern AI architectures including RAG, vector databases, and prompt engineering. Key Responsibilities: Data preprocessing, feature engineering, and model development using Python (Pandas, NumPy) Build and optimize machine learning models (supervised/unsupervised, regularization, decision trees, random forests) Design and train deep learning models (neural networks, CNNs) using backpropagation and advanced activation functions Evaluate models using appropriate metrics (accuracy, precision, recall, F1, ROC-AUC) Communicate AI/ML project insights and results effectively across teams Develop LLM-based applications using Retrieval-Augmented Generation (RAG) and vector databases Implement agentic AI systems and advanced prompt engineering for task automation Fine-tune LLMs and manage context windows for efficient large-scale inference Key Skills: Python (Pandas, NumPy) for scalable data analysis and manipulation Data Preprocessing & Feature Engineering for model optimization Machine Learning : Supervised/Unsupervised learning, regularization, decision trees, random forests Deep Learning : Neural networks, CNNs, backpropagation, activation functions Model Evaluation & Metrics : Performance tuning using standard ML metrics AI/ML Project Articulation : Clear communication of technical outcomes to cross-functional teams Retrieval-Augmented Generation (RAG) & Vector Databases for contextual LLM integration Agentic AI & Prompt Engineering to design dynamic, intelligent workflows LLM Processing : Managing context windows, fine-tuning, and task-specific adaptation

Role & responsibilities Job Title: Sr. Data Science Engineer (SSE) Job Location: Pune Job Description: Company Introduction Nitor Infotech, an Ascendion company, is a leader in innovative technology solutions, driving transformation across industries. Our dynamic culture fosters creativity and collaboration, making us a top choice for tech talent. Join us to be part of a team that values growth and excellence. Job Overview We are seeking a highly skilled GenAI Engineer with expertise in large language models (LLMs), prompt engineering, and GenAI solutions. This full-time position is remote , reporting to the Technical Manager . The ideal candidate will have hands-on experience with Azure OpenAI services, vector databases, and a strong background in natural language processing (NLP). Key Responsibilities In depth knowledge of LLM, Prompt Engineering, Embedding Techniques. In depth knowledge of Prompt Optimization • Knowledge of Various Chunking strategies. Performance and Scalability of GenAI Solution • Hands-on exp on Python. Hands-on Azure OpenAI stack for GPT 4.1, 4V and 4o models • Hands-on exp. on Weaviate/Milvus Vector DB. Should be able to work with Onshore/offshore team. In depth knowledge of NLP. Guide the team for problem solving. In depth knowledge in Prompt tunning and context management. Exp in maximize accuracy, minimize latency and enhance performance of GenAI solution. Should have taken 1 GenAI implementation in Production. Hands-on experience with tools and frameworks like LangChain, LlamaIndex, or similar. Should have implement atlest one solution in RAG implementation. Nice to Have Expertise in model monitoring and debugging. Experience with CI/CD processes for GenAI solutions. What We Offer Competitive salary and benefits. Opportunities for professional growth. Collaborative culture and innovative environment. Work-life balance and flexibility. DEI Statement At Nitor Infotech, we embrace diversity in all forms. We actively promote an inclusive environment where every voice is valued. ISMS Statement Nitor Infotech maintains ISO 27001 certification. All employees must adhere to our information security policies.

Profile : Machine Learning (Automation Developer) Experience: 6 -10 Years Location : Chennai //Hyderabad // Bangalore Notice Period: Immediate // Serving Mandatory Skill: Machine Learning (ML) , RAG , Python, NLP , FastAPI Strong theoretical understanding of Machine learning algorithms , deep learning frameworks, and statistical modeling techniques. Proficiency in programming languages such as Python, along with experience in popular ML libraries such as TensorFlow, PyTorch, or scikit-learn. Hands-on experience in developing and deploying machine learning models for NLP and computer vision tasks, with a demonstrable portfolio of projects. Solid understanding of natural language processing techniques, including text classification, sentiment analysis, named entity recognition, etc. Familiarity with computer vision concepts such as image classification, object detection, image segmentation, etc., and experience with frameworks like OpenCV or TensorFlow. Experience with cloud platforms (e.g., AWS, Azure, Google Cloud ) and containerization technologies (e.g., Docker, Kubernetes) is a plus . Kindly share the Update CV at pooja.roy@esolglobal.com

Job Application Link:https://app.fabrichq.ai/jobs/865d4815-c031-4216-8e54-462d9b57ea23 Job Summary: The Data Science Architect role focuses on designing and implementing complex Generative AI solutions using AWS technologies. The position requires expertise in Retrieval Augmented Generation (RAG), GraphRAG methodologies, and agentic AI systems. The architect will develop advanced AI architectures incorporating state-of-the-art GenAI technologies while leveraging AWS Bedrock and SageMaker. Key Responsibilities Design and architect complex Generative AI solutions using AWS technologies Develop advanced AI architectures incorporating state-of-the-art GenAI technologies Create and implement Retrieval Augmented Generation (RAG) and GraphRAG solutions Architect scalable AI systems using AWS Bedrock and SageMaker Design and implement agentic AI systems with advanced reasoning capabilities Develop custom AI solutions leveraging vector databases and advanced machine learning techniques Evaluate and integrate emerging GenAI technologies and methodologies Skills & Requirements Must Have Skills Python programming for AI/ML applications AWS AI services (Bedrock, SageMaker) Retrieval Augmented Generation (RAG) and GraphRAG Vector database architectures Large Language Models (LLMs) Deep learning frameworks (PyTorch, TensorFlow)

As a Data Science and AI / ML professional at LTIMindtree, you will play a crucial role in leveraging digital technologies to drive innovation and growth for our clients. With over 6 years of experience in the field, you will be expected to have a deep understanding of machine learning techniques and algorithms, such as GPTs, CNN, RNN, k-NN, Naive Bayes, SVM, Decision Forests, etc. Your expertise in data frameworks like Hadoop, business intelligence tools like Tableau, and Cloud native skills will be essential in delivering superior business outcomes. Key Responsibilities: - Utilize your knowledge of SQL and Python, with familiarity in Scala, Java, or C++ as an asset, to develop innovative AI solutions - Apply your analytical mind and strong math skills in statistics and algebra to solve complex business challenges - Work with common data science toolkits such as TensorFlow, KERAs, PyTorch, PANDAs, Microsoft CNTK, NumPy, etc., with expertise in at least one being highly desirable - Leverage your experience in NLP, NLG, and Large Language Models like BERT, LLaMa, LaMDA, GPT, BLOOM, PaLM, DALL-E, etc., to drive transformative projects - Communicate effectively and present your findings with great clarity, thriving in a fast-paced team environment - Utilize AIML and Big Data technologies like AWS SageMaker, Azure Cognitive Services, Google Colab, Jupyter Notebook, Hadoop, PySpark, HIVE, AWS EMR, etc., to scale your solutions - Apply your expertise in NoSQL databases such as MongoDB, Cassandra, HBase, Vector databases to handle large datasets effectively - Demonstrate a good understanding of applied statistics skills like distributions, statistical testing, regression, etc., to derive valuable insights for the business Qualifications Required: - More than 6 years of experience in Data Science and AI / ML domain - Excellent understanding of machine learning techniques and algorithms - Experience using business intelligence tools and data frameworks - Knowledge of SQL and Python; familiarity with Scala, Java or C++ is an asset - Strong math skills (e.g., statistics, algebra) - Experience with common data science toolkits - Great communication and presentation skills - Experience with AIML and Big Data technologies - Experience with NoSQL databases Please note that the mentioned qualifications, skills, and experiences are mandatory for the role at LTIMindtree.,

As a Data Scientist at Impelox, you will be part of a collaborative team of passionate AI enthusiasts dedicated to innovation and work-life balance. **Role Overview:** Join a vibrant and collaborative environment at Impelox where your ideas are valued, and you can thrive professionally. As a Data Scientist, you will analyze complex datasets, build predictive models, and drive business insights using cutting-edge technology. **Key Responsibilities:** - Analyze complex datasets - Build predictive models - Drive business insights - Experiment with cutting-edge technology - Work with passionate AI enthusiasts - Prioritize innovation in your work **Qualifications Required:** - 3-6 years of experience in data science - Proficiency in Python, Deep Learning, Machine Learning, SQL, RAG, and LLM - Strong analytical and problem-solving skills - Ability to work effectively in a collaborative team environment Join Impelox to enjoy competitive salary, health insurance coverage, flexible working hours, hybrid work options, a professional development budget, modern office space, team outings, and mentorship programs. Embrace a transparent culture that values open communication, trust, respect, and diverse perspectives. Engage in fun team-building activities, celebrations, and events that promote camaraderie and work-life balance. Thrive professionally and personally with continuous learning opportunities and a supportive environment at Impelox in Chennai, India.,

Job Description: You are being sought after for the position of Senior Backend Engineer at Attri, one of Uplers" clients. At Attri, the engineering team is expanding, and they are in need of a Backend Developer to aid in the evolution of the company to its next phase. Your role will be crucial in refining the system architecture, ensuring seamless integration of various tech stacks, and streamlining processes. Responsibilities: - Act as the liaison between the engineering and product teams, understanding the long-term product roadmap and architecting a scalable system design. - Take charge of translating product insights into detailed engineering requirements. - Divide work among the team and oversee the development of components for each sprint. - Proficient in solution designing and documentation (HLD/LLD). - Develop "Zero Defect Software" efficiently utilizing modern tools like ChatGPT, Co-pilot, etc. - Instill the mindset of building secure, instrumented, and resilient software. - Write high-quality, high-performance, and unit-tested code for a distributed environment using containers. - Continuously enhance DevOps processes for a cloud-native codebase. - Strong design skills in defining API Data Contracts, OOAD, Microservices, Data Models, and Concurrency concepts. - Demonstrate leadership qualities with a focus on quality, innovation, and empowering leadership. Qualifications: Work Experience: - 4-8 years of experience developing full Systems/Micro-services using Python. - Senior engineering responsibilities for at least 3 years. - People mentorship/leadership experience for 3+ years, managing engineers and leading multiple development teams. - Object-oriented design and agile development methodologies experience for 3+ years. - Basic experience in developing/deploying cloud-native software using GCP/AWS/Azure. - Proven track record in building large-scale Product grade systems. - Proficient in SQL/NoSQL/OLAP DBs. - Up-to-date with modern cutting-edge technologies. - Bonus: Understanding of Generative AI frameworks/Libraries like RAG, Langchain, LLAMAindex, etc. Skills: - Strong documentation skills. - Ability to make authoritative decisions and be accountable. - Motivate, lead, and empower others. - Independent contributor and team player. - Knowledge of ML and MLOps concepts. You will excel in this role if: - You possess a product mindset and understand customer needs. - Take ownership, collaborate, and see tasks through completion. - Enjoy solving complex problems and can effectively communicate with engineers. - Resonate with core values of innovation, curiosity, accountability, trust, fun, and social good. If you are prepared to tackle a new challenge, work in a supportive environment, and elevate your career, seize the opportunity and apply now. Uplers is eager to have you on board!,

As a Gen AI Engineer (ML) at our company, your role will involve leading the design, development, and deployment of GenAI applications using frameworks like LangChain, LlamaIndex, and HuggingFace Transformers. You will be responsible for architecting and implementing RAG pipelines, agentic systems, and MCP-based integrations. Additionally, you will drive QLoRA-based fine-tuning and quantization for domain-specific tasks, ensuring AI governance, compliance, and responsible use of generative AI solutions. Your expertise will be crucial in evaluating, benchmarking, and integrating open-source and proprietary LLMs for enterprise-grade use cases. Collaboration with cross-functional teams including data engineers, backend developers, and product stakeholders will be key, along with mentoring junior engineers to foster growth in prompt engineering, model experimentation, and best practices. Staying ahead of emerging research and incorporating the latest advancements in LLMs, embeddings, multimodal models, and vector databases will also be part of your responsibilities. Key Responsibilities: - Lead the design, development, and deployment of GenAI applications using frameworks like LangChain, LlamaIndex, and HuggingFace Transformers. - Architect and implement RAG pipelines, agentic systems, and MCP-based integrations. - Drive QLoRA-based fine-tuning and quantization for domain-specific tasks. - Ensure AI governance, compliance, and responsible use of generative AI solutions. - Evaluate, benchmark, and integrate open-source and proprietary LLMs for enterprise-grade use cases. - Collaborate with cross-functional teams including data engineers, backend developers, and product stakeholders. - Mentor junior engineers, fostering growth in prompt engineering, model experimentation, and best practices. - Stay ahead of emerging research and incorporate the latest advancements in LLMs, embeddings, multimodal models, and vector databases. Qualifications Required: - 6+ years in software/ML engineering, with 2+ years focused on Generative AI. - Deep expertise in RAG, MCP, agentic architectures, and LLMs. - Strong proficiency in Python and leading AI frameworks (LangChain, LlamaIndex, HuggingFace). - Proven hands-on experience with QLoRA fine-tuning and inference optimization. - Solid knowledge of AI governance frameworks, compliance, and ethical AI practices. - Familiarity with cloud platforms (AWS, GCP, Azure) and containerization tools (Docker, Kubernetes). - Exceptional communication and leadership skills, with the ability to mentor teams and articulate complex concepts clearly. In addition to the above details from the job description, there are no additional details of the company mentioned.,

RESPONSIBILITIES: Develop and contribute to end-to-end architecture of highly scalable, distributed machine learning solutions for AI/ML/DL/NLP platforms. Contribute to the research and development of advancedgenerativeAImodels such as LLMs, SLM’s including GANs, VAEs, autoregressive models, and novel architectures. Deployment ofgenerativeAImodels, frameworks, and algorithms into scalable REST API services. Conduct research and stay up-to-date with the latest advancements ingenerativeAIto ensure our solutions are at the forefront of the industry. Perform code reviews, identify areas for improvement, and optimizeAImodels for efficiency and scalability. Collaborate with data scientists and engineers to pre-process and curate datasets suitable forAIapplications. Continuously evaluate and improve the performance, accuracy, and reliability ofDeep learning and AImodels through experimentation and iteration. Work collaboratively with engineering and product development teams and cross-functional partners to ensure timely and successful delivery ofgenerativeAIprojects, meeting Alstom’s expectations.