927 Genai Jobs

Qualifications Graduate Degree 3 - 5 years of relevant work experience, preferably in a content management/knowledge management organisation Intermediate knowledge of Adobe Experience Manager (AEM) and SEO tools like Semrush, Ahrefs or BrightEdge Ability to work across cultures and in a virtual environment Self-motivated and strong team player with strong interpersonal skills Demonstrate excellent analytical skills and communication skills (written, verbal, & presentation) Ability to build networks within the organisation Be able to work independently and as part of a team with professionals at all levels Be able to prioritise tasks, work on multiple assignments, and raise concerns/questions where appropriate Ability to grasp the fundamentals of work, learn new technologies and processes Good knowledge and understanding of website standards and regulations e.g. WCAG, EAA, GDPR

Exp : 6+ Years of experience C# with GENAI Location : Pune/ Kolkata / Indore Skills - Python, C#, Agentic AI, MCP, GenAI, RAG, Semantic search AI Engineer Required Skills & Experience Core Technical Skills Framework Knowledge Solid understanding of MCP vs. A2A frameworks. Ability to differentiate and work with AI agents vs. RAG (Retrieval-Augmented Generation) approaches. 2) Search & Data Handling Proficiency in semantic search methodologies. Experience with vector databases and related libraries, such as Redis VL and Pinecone. 3) Programming Languages Strong proficiency in C# and Python . 4) Prompt Engineering Understanding of prompt engineering fundamentals and best practices. 5)AI Model Expertise Knowledge of transformers, embeddings, and parameter tuning in agentic frameworks. 6) AI Model ExpertiseI / Chatbots Hands-on experience with inference, pattern recognition, reasoning, generative AI, and multi-modal capabilities. 7) Training & Optimization Experience with fine-tuning, machine learning model training, feedback loops, reinforcement learning, data labeling/tagging, and self-improving systems. 8) Tool & Platform Familiarity Proficiency with AI tools such as Cursor, Claude, Perplexity, and OpenAI ChatGPT. Experience working with Amazon Bedrock and/or Google Vertex AI 9) Automation & Web Development Experience with website development and automation tools, including n8n , Googles Opal, and Lovable. Soft Skills Highly curious and passionate about AI. Strong communication and collaboration abilities. Teachable, adaptable, and open to feedback. Commitment to continuous learning, especially in the rapidly evolving AI landscape.

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

Key Responsibilities: Design and implement AI product features Maintain and optimize existing AI systems Train, evaluate, deploy, and monitor ML models Design ML pipelines for experiment, model, and feature management Implement A/B testing and scalable model inferencing APIs Optimize GPU architectures, parallel training, and fine-tune models for improved performance Deploy LLM solutions tailored to specific use cases Ensure DevOps and LLMOps best practices using Kubernetes, Docker, and orchestration frameworks

As a Senior Machine Learning/AI Manager at CDK, you will lead and mentor a team of scientists and engineers to deliver high-quality ML/AI solutions. You will own the full ML lifecycle from data exploration and feature engineering to model deployment and monitoring. Your role will involve architecting and implementing models for recommendation systems, classification, forecasting, and generative AI use-cases. Collaborating cross-functionally with product, engineering, and MLOps teams will be crucial to translate business needs into scalable ML solutions. Utilizing LLMs and Retrieval-Augmented Generation (RAG) to build intelligent customer experiences will be a key aspect of your responsibilities. Additionally, you will champion model performance, interpretability, and reproducibility across varied domains. Your contribution to reusable AI/ML tooling, pipelines, and best practices will play a significant role in improving development velocity. **Key Responsibilities:** - Lead and mentor a team of scientists and engineers - Own the full ML lifecycle - Architect and implement models for various AI use-cases - Collaborate cross-functionally with product, engineering, and MLOps teams - Leverage LLMs and Retrieval-Augmented Generation - Champion model performance, interpretability, and reproducibility - Contribute to reusable AI/ML tooling and best practices **Qualifications Required:** - Masters or PhD in Computer Science, Machine Learning, Statistics, or related field - 5+ years of hands-on experience developing and deploying ML models at scale - 2+ years of experience managing or mentoring data scientists or ML engineers - Proficiency in Python and familiarity with languages like Java - Solid foundation in ML techniques including regression, classification, deep learning, and collaborative filtering - Experience with model deployment tools and cloud ML platforms - Strong communication skills; ability to present complex ideas to technical and non-technical stakeholders At CDK, inclusion and diversity are fundamental values that inspire meaningful connections to people, customers, and communities. The company fosters an open, curious environment that encourages different views, allowing everyone to be their best selves and make a positive impact.,

You will be joining Credgenics, India's leading SaaS-based debt collection platform, where innovation and agility are highly valued. By leveraging AI, ML, and advanced analytics, Credgenics helps financial institutions improve recovery rates, optimize collection spends, and enhance operational efficiency. In your role as a Data Scientist specializing in Voice AI, you will focus on developing and deploying GenAI-powered Speech-to-Text (STT) and Text-to-Speech (TTS) models to drive voicebot automation within the collections platform. Collaboration with cross-functional teams is essential to implement voice solutions that enhance customer interactions, reduce manual intervention, and scale conversational engagement. **Key Responsibilities:** - Implement and fine-tune STT and TTS models for real-time customer conversations. - Work with engineering teams to integrate speech models into collection workflows and customer engagement platforms. - Develop ML pipelines for speech models to ensure low latency and high accuracy. - Continuously monitor and optimize model performance in terms of accuracy, latency, and naturalness of voice. - Enable automation of customer communication through seamless voicebot deployment. - Collaborate with product managers, engineers, and operations teams to design AI solutions for debt lifecycle management. **Qualifications Required:** - 3-5 years of experience in Voice AI, Voicebot development, or Conversational AI, preferably in a product/startup environment. - Strong experience with speech recognition (STT/ASR) and speech synthesis (TTS) deployment. - Hands-on experience with ML/DL frameworks such as PyTorch, TensorFlow, and Keras. - Proficiency in Python programming and experience in API-based model integration. - Practical experience deploying models in production environments, preferably on cloud platforms like AWS, GCP, or Azure. - Experience in latency optimization, error reduction, and real-time deployment of speech models. - Ability to collaborate effectively across teams to deliver impactful, applied AI solutions.,

As a professional experienced in NLP/LLM/GenAI, you will be working at the Artificial Intelligence Advancement Center alongside leading technical experts from around the world. Your role will involve designing NLP/LLM/GenAI applications/products by following robust coding practices. You will explore state-of-the-art models and techniques for automotive industry use cases and conduct ML experiments to train/infer models while ensuring they adhere to memory and latency restrictions. Additionally, you will deploy REST APIs or a minimalistic UI for NLP applications using Docker and Kubernetes tools and showcase these applications through web frameworks like Dash, Plotly, Streamlit, etc. You will also be responsible for converging multibots into super apps using LLMs with multimodalities and developing agentic workflows. Key Responsibilities: - Design NLP/LLM/GenAI applications/products by following robust coding practices - Explore state-of-the-art models/techniques for automotive industry use cases - Conduct ML experiments to train/infer models and build models adhering to memory & latency restrictions - Deploy REST APIs or a minimalistic UI for NLP applications using Docker and Kubernetes tools - Showcase NLP/LLM/GenAI applications through web frameworks like Dash, Plotly, Streamlit, etc. - Converge multibots into super apps using LLMs with multimodalities - Develop agentic workflows using Autogen, Agentbuilder, langgraph - Build modular AI/ML products that can be consumed at scale Qualifications: - Bachelors or masters degree in computer science, Engineering, Maths, or Science - Completion of modern NLP/LLM courses/open competitions is welcomed In addition to the technical requirements mentioned above, the company also values strong communication skills and teamwork abilities through various platforms like Git, Slack, email, and calls with team members across geographies. If interested, you are required to share an updated CV with compensation details, notice period, current location, and experience in the following skills: - NLP/LLM/GenAI applications/products - State-of-the-art models/techniques - Experience in LLM models like PaLM, GPT4, Mistral (open-source models) - ML/DL Skills - NLP Skills - GCP services like BigQuery, Cloud function, Cloud run, Cloud Build, VertexAI,

Role Overview: As a GenAI Specialist at Birlasoft, you will be completely hands-on with building applications using GenAI models and frameworks. You will serve as the primary technical expert for GenAI technologies, focusing on enhancing the GenAI footprint across clients by developing, implementing, and optimizing advanced AI models and solutions. Your role will involve defining best practices, standards, and templates for AI solutions, conducting workshops, demos, and client presentations on GenAI use cases, and collaborating closely with cross-functional teams to identify, evaluate, and implement use cases across different customers. Additionally, you will evaluate and integrate emerging GenAI technologies to enhance conversational AI capabilities, provide technical leadership and mentorship to teams, and troubleshoot and resolve complex platform integration and functionality issues. Your proactive approach will involve creating blueprints, PoCs, and pilots by independently building quick prototypes and demonstrating them to key decision-makers. Key Responsibilities: - Serve as the primary technical expert for GenAI technologies - Drive innovation and ensure successful integration of AI technologies into IT services for clients - Define best practices, standards, and templates for AI solutions - Conduct workshops, demos, and client presentations on GenAI use cases - Collaborate with cross-functional teams to identify, evaluate, and implement use cases across different customers - Evaluate and integrate emerging GenAI technologies to enhance conversational AI capabilities - Provide technical leadership, mentorship, and guidance to teams - Troubleshoot and resolve complex platform integration and functionality issues Qualifications Required: - 10+ years of total IT experience with at least 3-4 years of hands-on experience with AI/Gen AI technologies (OpenAI, Anthropic, Hugging Face, etc.) - Expertise in NLP, NLU, and NLG technologies - Solid understanding of API integrations, backend systems, and data flows - Programming skills in Python, Node.js, Java, or similar languages for API programming - Familiarity with LLMs (Large Language Models), prompt engineering, fine-tuning, and embeddings - Strong problem-solving skills and solution architecture capabilities - Excellent client-facing communication skills with the ability to translate business needs into technical solutions - Experience working with cloud platforms such as AWS, Azure, and GCP - Ability to manage multiple projects and priorities in a fast-paced environment.,

Role Overview: You will be a part of the People & ORG CoE team at the Bain Capability Network (BCN), working on building and deploying analytical solutions related to Operating Model and Organization Practice. Your main responsibility will involve developing, maintaining, and evolving advanced internal tools with a focus on Python. Additionally, you will contribute to case delivery by generating meaningful insights for Bain clients using these tools. You will also play a role in creating efficiency gains and driving innovation within the team. Key Responsibilities: - Become an expert in developing and maintaining advanced internal tools with a focus on Python - Handle end-to-end tool processes, including troubleshooting errors and developing Python scripts - Assist in case delivery and provide valuable insights for Bain clients - Potentially build and maintain internal web applications using front-end technologies and frameworks like Streamlit - Work under the guidance of a Team Manager / Sr. Team Manager to drive innovation and identify areas for automation - Lead internal team calls, communicate data, insights, and actionable next steps on tool development - Stay updated on new statistical, database, machine learning, and advanced analytics techniques Qualifications Required: - Graduation/Post-graduation from a top-tier college with a strong academic background - Minimum of 4 years of relevant experience in Python, experience with GenAI, LLMs, or Machine Learning preferred - Advanced understanding of database design and Azure/AWS servers preferred - Experience in SQL, Git, statistical and machine learning models, and front-end technologies like HTML, CSS, JavaScript - Familiarity with low-code development tools such as Streamlit, Mendix, Power Apps - Experience with data science/analytics tools like Alteryx, Informatica will be a plus - Strong analytical skills with the ability to generate realistic answers and recommend actionable solutions - Excellent oral and written communication skills to interact with technical and non-technical stakeholders - Ability to manage multiple projects, prioritize tasks, and drive projects to completion under tight deadlines (Note: Additional details about the company were not included in the provided job description),

Job Description We are seeking a dynamic and experienced Continuous Improvement and RPA SME to join our Global Finance Operations Organization and be part of the Enablement Leadership team. The leader should have familiarity with Business Process Improvement (BPI)/ LEAN process techniques and possess strong finance acumen. The role entails analysis of end-to-end Finance processes, leveraging both data and observation methods, to suggest improvements for Productivity, Quality, Efficiency, and Speed and eliminate redundant process/ steps. The new lead shall further help us evolve our Culture of Continuous Improvement within the DNA of NielsenIQ Finance Operations - leveraging Lean and other BPI concepts to help Eliminate, Simplify, Standardize and ultimately Automate (ESSA) our Finance processes. The main processes will initially be the typical Finance and Accounting transactional processes of Record to Report (R2R) Order to Cash (O2C) Procure to Pay (P2P - as well as those of our evolving new towers of more complex, value add and knowledge expertise such as Financial Planning & Analysis (FP&A) Statutory Accounting Direct Tax, Indirect Tax, and Master Data Management (MDM) type activities are part of our Global Finance Operations model. This role will be a key and core foundational element of our enhanced Finance Operations operating model. We are seeking a technical savvy, digital minded individual, who can further help us accelerate in the new evolving world, leveraging technologies such as AI, GenAI, RPA and even Agentic AI - to couple his or her traditional Continuous Improvement experience to be able to drive change and optimization across our processes. Key Responsibilities: Business Process Improvement CI Initiatives - operational: Evaluate existing business processes, identify gaps, and implement solutions to enhance productivity, quality, efficiency, and speed. CI Initiatives - Culture: Instill a culture of Continuous Improvement using Lean and other BPI concepts Stakeholder Coordination: Work with internal stakeholders to align on BPI strategies and goals. Cooperate with Enablement, Finance Global Process Owners, and Finance Service Delivery Operations leaders to ensure high-quality deliverables. Facilitate Kaizen Workshops: Conduct and facilitate Kaizen/VSM brainstorming workshops with stakeholders to drive process improvements and foster a culture of continuous improvement. Time and Motion studies across each functional tower will shine a light on where efficiencies can be gained. Data-Driven Analysis: Use metrics and data to identify continuous process improvement opportunities, carry out data-driven analysis, and build process improvement scenarios. Upskilling Fin Ops Associates, including Digital Upskilling - Training and Certification: Drive training, certification, and adoption in areas such as White Belt, Yellow Belt, 6SL training across the entire Finance Operations teams. Ensure capability is cascaded to relevant teams and leaders. Citizen-led Enablement Program: Drive a Citizen Led Enablement program in upskilling the Finance associates and lead initiatives in Automation and Process improvement by tapping into this extend pool of resource. Create an environment for the team to be excited and engaged to create their own scripts and macros that can be leveraged in our processes Awareness on Automation, GenAI: Drive trainings on Automation, GenAI, RPA, Agentic AI to ensure continued growth and development of all our FinOps colleagues by upskilling the teams on new generation technologies. Supporting Improvements through Automation, including RPA Projects - RPA Project Management: Lead multiple RPA projects as the RPA SME, working closely with the RPA CoE, EIT team and Stakeholders to accelerate the RPA program across Finance Operations. Compliance: Ensure processes are designed to operate within legal and compliance guardrails. AI-Enhanced Initiatives: Support and drive AI-enhanced initiatives in Finance Operations, leveraging technology to improve critical factors such as quality, efficiency, and speed. Transformation Projects: Support transformation projects and process optimization initiatives, ensuring alignment with internal and external customer needs. Desired Experiences and Competencies: - LSS Methodology and Tools: Proficiency in Lean Six Sigma (LSS) methodology and tools, with Green Belt or Black Belt certification desired. Kaizen/VSM Workshops: Experience in conducting Kaizen and Value Stream Mapping (VSM) workshops with stakeholders to drive process improvements. RPA Technologies and Platforms: Knowledge and experience in RPA technologies and platforms such as Advanced Excel, SAP Scripting, MS Automation tools, UiPath Orchestrator/Studio. Project Management: Strong project management skills, with experience in managing and delivering complex projects on time and within budget. Data Analysis: Strong data analysis skills, with the ability to analyze large data sets to identify anomalies and drive process improvements. Qualifications 8+ years of experience, out of which a minimum of 3 years of experience in setting up tech Innovation-driven business process improvement experience Ability to drive consensus across a variety of stakeholders at different levels and from different backgrounds (markets and culture) Ideally a Finance Shared Services or GBS background Strong stakeholder management skills Strong written and verbal communication skills Strong data analysis skills. Ability to analyze large data sets to identify anomalies Ability to innovate and enable business goals in harmony with the regulatory environment. Project and Change Management skills Familiarity with LEAN/ Six-sigma Green Belt or Black Belt certification desired Startup mindset Growth Mindset Ability to translate technical details from different customer contexts Troubleshooting using Influencing skills Ability to work under pressure and ask for support when required Proven Track Record of implementing change that delivers results Additional Information Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP) About NIQ NIQ is the world's leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights-delivered with advanced analytics through state-of-the-art platforms-NIQ delivers the Full View. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world's population. For more information, visit NIQ.com Want to keep up with our latest updates Follow us on: | | | Our commitment to Diversity, Equity, and Inclusion At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the

Responsibilities: Design and develop agentic automation workflows using frameworks such as LangGraph, AutoGen, CrewAI, and other multi-agent systems (e.g., MCP, A2A) to automate complex business processes. Build and optimize Retrieval-Augmented Generation (RAG) pipelines for enhanced contextual understanding and accurate response generation in automation tasks. Integrate open-source LLMs (e.g. LLaMA) and closed-source LLMs (e.g., OpenAI, Gemini, Vertex AI) to power agentic systems and generative AI applications. Develop robust Python-based solutions using libraries like LangChain, Transformers, Pandas, and PyTorch for automation and AI model development. Implement and manage CI/CD pipelines, Git workflows, and software development best practices to ensure seamless deployment of automation solutions. Work with structured and unstructured data, applying prompt engineering and fine-tuning techniques to enhance LLM performance for specific use cases. Query and manage databases (e.g., SQL, NoSQL) for data extraction, transformation, and integration into automation workflows. Collaborate with stakeholders to translate technical solutions into business value, delivering clear presentations and documentation. Stay updated on advancements in agentic automation, generative AI, and LLM technologies to drive innovation and maintain competitive edge. Ensure scalability, security, and performance of deployed automation solutions in production environments. Experience: 4+ years of hands-on experience in AI/ML, generative AI, or automation development. Proven expertise in agentic frameworks like LangGraph, AutoGen, CrewAI, and multi-agent systems. Experience building and deploying RAG-based solutions for automation or knowledge-intensive applications. Hands-on experience with open-source LLMs (Hugging Face) and closed-source LLMs (OpenAI, Gemini, Vertex AI). Technical Skills: Advanced proficiency in Python and relevant libraries (LangChain, Transformers, Pandas, PyTorch, Scikit-learn). Strong SQL skills for querying and managing databases (e.g., PostgreSQL, MongoDB). Familiarity with CI/CD tools (e.g., Jenkins, GitHub Actions), Git workflows, and containerization (e.g., Docker, Kubernetes). Experience with Linux (Ubuntu) and cloud platforms (AWS, Azure, Google Cloud) for deploying automation solutions. Knowledge of automation tools (e.g., UiPath, Automation Anywhere) and workflow orchestration platforms. Soft Skills: Exceptional communication skills to articulate technical concepts to non-technical stakeholders. Strong problem-solving and analytical skills to address complex automation challenges. Ability to work collaboratively in a fast-paced, client-facing environment. Proactive mindset with a passion for adopting emerging technologies. Preferred Qualifications Experience with multi-agent coordination protocols (MCP) and agent-to-agent (A2A) communication systems. Familiarity with advanced generative AI techniques, such as prompt chaining, tool-augmented LLMs, and model distillation. Exposure to enterprise-grade automation platforms or intelligent process automation (IPA) solutions. Contributions to open-source AI/automation projects or publications in relevant domains. Certification in AI, cloud platforms, or automation technologies (e.g., AWS Certified AI Practitioner, RPA Developer). Mandatory skill sets: Agentic, LLM, RAG, AIML, LangGchain Preferred skill sets: Agentic, LLM, RAG, AIML, LangGchain, Gen AI

Job Summary: We are seeking an experienced and innovative Full Stack Developer with 58 years of experience in designing and developing scalable applications. The ideal candidate should have strong expertise in Python, Django, FastAPI, Microservices, and hands-on experience with GenAI applications and vector databases. This role requires a forward-thinking developer who can work on both backend and frontend, design microservices-driven architectures, and deploy GenAI-powered solutions in real-world use cases. Key Responsibilities: Design, develop, and maintain scalable microservices-based applications using Python frameworks (Django, FastAPI). Build and deploy containerized applications using Docker/Kubernetes for cloud and on-premise environments. Integrate and optimize applications with databases, with a strong focus on vector databases for GenAI-driven solutions. Work on GenAI application development, including deploying offline models, integrating LLMs, and fine-tuning where necessary. Collaborate with cross-functional teams (data scientists, ML engineers, product managers) to deliver AI-powered applications. Implement and maintain APIs to enable seamless system integrations and scalable architectures. Optimize performance, security, and scalability of full stack applications. Contribute to best practices in software engineering, including CI/CD pipelines, unit testing, and code reviews. Stay updated with the latest trends in AI/ML, Generative AI, and database technologies to incorporate into solutions. Required Skills & Qualifications: 5–8 years of proven experience as a Full Stack Developer. Strong expertise in Python and frameworks like Django and FastAPI. Hands-on experience with microservices architecture and containerized applications (Docker/Kubernetes). Extensive knowledge of working with relational and non-relational databases, with specific experience in vector databases (e.g., Pinecone, Weaviate, Milvus, FAISS). Experience in Generative AI applications, including LLM integration, offline model deployment, and embeddings. Strong problem-solving and debugging skills with attention to detail. Familiarity with modern frontend frameworks (React/Angular) is a plus. Excellent communication and teamwork skills, with the ability to work in an Agile environment.

Education, Experience, & Skills Required: 2-7 years of experience in a software engineering role, with exposure to AI/ML concepts. Familiarity with working in an Agile environment preferred. Bachelors Degree or equivalent in Computer Science, Engineering, or a related field. Software engineering experience, with exposure to AI model integration and generative AI frameworks. Knowledge of modern programming language such as: Python - preferred for AI applications Familiarity with Unix/Linux, Big Data, SQL, NoSQL, and modern data storage technologies. Experience with AI APIs and frameworks such as OpenAI API, Hugging Face Transformers, LangChain, LlamaIndex, and vector databases (FAISS, Pinecone, ChromaDB). Exposure to object-oriented programming, RESTful APIs, distributed computing, WebU, and modern JavaScript frameworks. Understanding of GenAI model deployment in cloud environments (AWS or Azure). Familiarity with AI model evaluation techniques, including embeddings, retrieval-augmented generation (RAG), and prompt engineering. Behaviors & Abilities Required: Ability to learn and adapt in a fast-paced environment, particularly in AI and GenAI integration. Ability to write performant, scalable, and maintainable code for AI-powered applications. Critical thinking skills to assess AI-generated outputs and improve model reliability. Problem-solving mindset to identify alternative methods of solving software engineering and AI-related challenges. Proven track record of delivering AI-integrated features while following best practices in software development. Ability to collaborate on AI-driven solutions, working with cross-functional teams, data scientists, and software engineers. Curiosity and willingness to explore new AI models, tools, and frameworks for enhancing software applications with GenAI capabilities.

Lead Data Scientist - Generative AI & LLMs Location: Hyderabad Notice Period: Immediate to 30days About the Role As a Lead Data Scientist, you will drive the architecture, design, and delivery of GenAI solutions, focusing on LLM and vLLM fine-tuning, data strategy, and model performance. This is a strategic, leadership-oriented role requiring a deep technical foundation and strong stakeholder collaboration. Key Responsibilities Lead design and implementation of LLM-powered GenAI platforms and document intelligence products. Architect and own data pipelines for fine-tuning large language models using large- scale datasets. Guide and mentor data science teams on LLM training best practices, evaluation, and deployment. Optimize model inference (latency, throughput) using vLLM, quantization, or model distillation techniques. Own the model lifecycle from experimentation to production-grade deployment. Partner with engineering/product teams to translate business needs into scalable AI solutions. Required Skills 7+ years in data science, with 3+ years focused on NLP and LLMs. Proven expertise in fine-tuning large-scale models on enterprise or open datasets. Hands-on with vLLM, PEFT (Parameter Efficient Fine Tuning), LoRA, and quantization strategies. Experience optimizing inference pipelines for production environments. Strong coding background in Python, PyTorch, and scalable ML architectures. Deep understanding of model alignment, evaluation strategies, and generative QA tasks. Leadership Skills Ability to lead cross-functional teams across data science, MLOps, and software engineering. Experience mentoring junior team members and reviewing model design/code. Strong communication skills to influence technical and non-technical stakeholders.

Role Purpose The role is responsible for ensuring the implementation of strategies & policies to ensure portfolio growth, maintaining delinquencies within benchmarks through regular tracking mechanisms together with designing and launching new campaigns to achieve organization goals. Role Accountability 1. Maintain & sustain profitability in Encash Portfolio and delinquency rates below benchmark levels 2. Offer encash & CLI to low and marginal-risk segments, which act as an NEA builder for the portfolio 3. Effective Utilization of data from other bureaus to offer encash to customers 4. Track & monitor portfolio performance and take corrective actions to maintain the portfolio delinquency within benchmark rates 5. Identify opportunity or stress segments in the portfolio and take appropriate actions(+ve and -ve actions) 6. Conduct data analytics, modeling, and segmentation for portfolio management 7. Cull out segments to optimize the x-sell coverage of the portfolio 8. Promote customer-driven actions (increase income-driven limit assignment) 9. Create and monitor portfolio Performance dashboard on time every month 10.Review transaction declines daily and highlight the gaps and abnormal pattern 11.Support the implementation of all regulatory guidelines and network enhancements 12.Drive portfolio management initiatives through the credit cycle management framework by working in partnership with marketing, IT, operations and collection team 13.Deploy AI /ML /Automation techniques in business processes to enhance process efficiency and customer experience 14.Manage the exit process of all secured cards with partner banks 15.Support management of existing relationships and future implementation of any new card network - Visa/Mastercard/Rupay/Amex/JCB Measures of Success 1. Maintain portfolio loss rates and delinquencies within the defined benchmarks 2. Maintain authorization success rate within the defined benchmarks 3. Design and launch of Campaigns to increase cross-sell as per plan 4. Process Adherence as per MOU Technical Skills / Experience / Certifications 1. Expertise in Data Analytic & Modelling 2. Strong understanding of the cards business dynamics that will drive the analysis 3. Expertise in data analytics and system tools such as SAS,TRIAD,V+,Python 4. Knowledge of Card networks, Access Control System Competencies critical to the role 1. Stakeholder Management 2. Written and verbal Communication 3. Analytical Skills & Problem Solving 4. Process Orientation 5. Agility & responsiveness Qualification Master's degree in economics, statistics or business management /Any equivalent PG Degree Preferred Industry FSI

Develop and optimize AI models for insurance use cases, apply data science for predictive insights, innovate with latest AI, integrate with engineering teams, and ensure scalable, cost-efficient, reliable deployment and maintenance. Required Candidate profile Hands-on with GenAI, LLMs, prompt engineering, and fine-tuning; skilled in Python, TensorFlow, PyTorch; strong in data science, predictive analytics, and MLOps for scalable AI deployment.

Job Title: Data Scientist / AI-ML Engineer (AI Agents & Machine Learning) Experience: 2+ Years Location: Bangalore About the Role: We are looking for a passionate and highly skilled AI/ML Developer / Data Scientist with proven experience in designing, building, and deploying intelligent systems using cutting-edge AI technologies. The ideal candidate will have hands-on expertise in Large Language Models (LLMs), Machine Learning, Deep Learning, Prompt Engineering, Vector Databases, and Agent Frameworks. This role spans the entire AI/ML lifecycle from ideation and architecture to deployment and optimization with a strong emphasis on RAG pipelines, NLP, chatbot frameworks, and proof-of-concept (POC) development. Youll be working at the forefront of Generative AI, LLMs, Computer Vision, and Vector Database-powered RAG systems to create next-generation intelligent applications. Key Responsibilities Design, develop, fine-tune, and deploy end-to-end AI/ML solutions. Work with both closed-source LLMs (OpenAI GPT, Claude, Gemini) and open-source models (BERT, LLaMA, Mistral, Gemma). Architect and implement RAG pipelines using LangChain, LangGraph, CrewAI, and LlamaIndex. Build and integrate AI agents, Agentic AI workflows, and chatbots for real-world applications. Utilize Vector Databases (FAISS, Milvus, Qdrant, Weaviate, pgvector, ChromaDB) for semantic search and retrieval. Apply prompt engineering and few-shot learning to optimize model outputs. Develop computer vision solutions using YOLO and OpenCV for object detection, tracking, and video/image analytics. Create scalable APIs and backends with FastAPI or Flask. Perform EDA, data visualization, and ensure model explainability. Deploy and manage AI/ML models on AWS, Azure, or GCP. Rapidly deliver POCs and collaborate with cross-functional teams to validate solutions. Maintain version-controlled, reproducible ML pipelines. Must-Have Skills Programming & Frameworks: Python, FastAPI GenAI & LLMs: GPT, Claude, Gemini, BERT, LLaMA, Mistral, Gemma, HuggingFace Transformers Frameworks: LangChain, LangGraph, CrewAI, LlamaIndex Vector Databases: FAISS, Milvus, Qdrant, Weaviate, pgvector, ChromaDB Computer Vision: OpenCV, YOLO object detection NLP & RAG: Text classification, summarization, NER, prompt design, RAG pipelines Model Lifecycle: Design, training, quantization, fine-tuning, deployment Cloud: AWS, Azure, GCP Databases: SQLite, PostgreSQL, MySQL, MongoDB (optional) Visualization Tools: Matplotlib, Seaborn, Plotly, Streamlit OS & Tools: Linux (CLI, scripting), Docker (optional), HuggingFace, chatbot platforms Nice-to-Have Contributions to open-source or GitHub projects Experience with multi-modal LLMs Strong background in statistics or academic research Familiarity with startup-style POC pipelines and rapid experimentation Educational Qualification: B.Tech, M.Tech, MCA, BCA, or Bachelors/Masters degree in Computer Science, Data Science, AI/ML, or a related field.

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.

Experience Required: 7+ Years Job Description: Python and familiar with AI/Gen AI frameworks. Experience with data manipulation libraries like Pandas and NumPy is crucial. Specific expertise in implementing and managing large language models (LLMs) is a must. Fast API experience for API development A solid grasp of software engineering principles, including version control (Git), continuous integration and continuous deployment (CI/CD) practices, and automated testing, is required. Experience in MLOps, ML engineering, and Data Science, with a proven track record of developing and maintaining AI solutions, is essential. We also need proficiency in DevOps tools such as Docker, Kubernetes, Jenkins, and Terraform, along with advanced CI/CD practices.

Were seeking a visionary Technical Architect with deep expertise in Data Science and Generative AI to lead the design and implementation of cutting-edge AI solutions. This role blends strategic thinking with hands-on technical leadership, enabling transformative innovation across industries. You’ll architect scalable systems, guide cross-functional teams, and shape the future of AI-powered products—from intelligent automation to synthetic data generation and beyond. Key Responsibilities Architect AI Solutions: Design end-to-end architectures for GenAI and data science platforms, including model pipelines, data lakes, and deployment strategies Lead Technical Strategy: Define technical roadmaps for AI/ML initiatives aligned with business goals Model Development Oversight: Guide development of LLMs, transformers, and other generative models using frameworks like PyTorch, TensorFlow, and Hugging Face Data Engineering Collaboration: Partner with data engineers to ensure robust data pipelines, feature stores, and real-time data ingestion MLOps & Deployment: Implement CI/CD pipelines for ML models, containerization (Docker/Kubernetes), and cloud-native deployments (Azure, AWS, GCP) Security & Ethics: Ensure responsible AI practices, model interpretability, and compliance with data privacy regulations Mentorship & Leadership: Coach data scientists, ML engineers, and developers on best practices and emerging technologies Stakeholder Engagement: Translate complex technical concepts into business value for executives and clients Required Skills & Qualifications Proven experience as a Technical Architect or Principal Engineer in AI/ML domains Strong proficiency in Python, SQL, and cloud platforms (Azure preferred) Expertise in GenAI frameworks (e.g., Lang Chain, OpenAI APIs, Retrieval-Augmented Generation) Solid understanding of data science workflows, statistical modeling, and feature engineering Experience with vector databases (e.g., FAISS, Pinecone, Weaviate) and embedding techniques Familiarity with prompt engineering, fine-tuning LLMs, and RLHF Excellent communication and leadership skills Bachelor’s or Master’s degree in Computer Science, Data Science, or related field (PhD preferred) Preferred Qualifications Experience with multimodal AI (text, image, audio) Contributions to open-source AI projects or publications Certifications in cloud architecture or AI/ML (e.g., Azure AI Engineer, AWS Machine Learning Specialty)

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.,

Role Overview: As a Senior Consultant in TMT Business Consulting Finance at EY, you will have the opportunity to work with Technology, Media & Entertainment, and Telecommunications organizations to help them evolve, transform, and stay competitive in the industry. Your role will involve creating compelling employee and customer experiences, ensuring operational excellence, safeguarding data and reputation, and supporting M&A strategies. You will play a key part in shaping the future of the technology revolution and contributing to building a better working world for all. Key Responsibilities: - Develop end-to-end GenAI solutions using LLMs (OpenAI, Claude, Llama, Gemini, etc.) - Build and manage multi-agent orchestration using frameworks like AutoGen, CrewAI, Semantic Kernel - Design document chunking, embedding, and indexing pipelines using Pinecone, Weaviate, FAISS, pgvector - Optimize RAG pipelines for latency, relevance, and safety - Create reusable prompt templates for zero-shot, few-shot, and chain-of-thought applications - Fine-tune open-source models using LoRA, QLoRA, or supervised datasets when needed - Containerize AI workflows using Docker/Kubernetes and deploy on Azure/AWS/GCP - Set up CI/CD pipelines, logging, monitoring, and automated evaluation metrics (hallucination, toxicity) - Maintain clean code, modular utilities, internal documentation, and reusable accelerator components for the GenAI Factory Qualifications Required: - 3-5 years of practical experience in building GenAI or Agentic AI applications with measurable business outcomes - Strong Python skills (asyncio, FastAPI, LangChain, Pydantic), basic JavaScript/TypeScript for integration plugins - Experience with LangChain, LlamaIndex, AutoGen, CrewAI, Semantic Kernel, and Hugging Face ecosystem - Expertise in machine learning algorithms and deep learning techniques (e.g., BERT, GPT, LSTM, CNN, RNN) - Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related field Additional Company Details: At EY, you will have the opportunity to work with over 200,000 clients globally and be part of a team of 300,000 professionals, including 33,000 individuals in India. EY is committed to investing in the skills and learning of its employees, offering personalized Career Journeys and access to career frameworks to enhance roles, skills, and opportunities. The organization is dedicated to being an inclusive employer, striving to achieve a balance between delivering excellent client service and supporting the career growth and well-being of its employees.,

DESCRIPTION The FinTech Accounts Receivable (AR) Cash Applications (Cash Apps) team business to business customer payments, with significant YoY growth across Amazon Business channels. The top goals are timely and accurate identification of customers, invoices, and application of payments to open balances to improve Amazon's Days Sales Outstanding (DSO), free cashflow and customer credit availability. Cash Apps uses OCR, NLP, ML and GenAI to automate processing, eliminate errors, and generate recommendations, improving productivity. A Sr. SDE is needed to influence architecture across services, solve complex problems, drive initiatives through cross-org collaboration, and lead resilient and highly available designs. Key job responsibilities The Sr. SDE is a technical leader who ensures that security and scalability are at the core to their team's designs. They Implement new software by designing, coding and launching multi-tenant cash application services. Sr. SDE defines bar raising standards for operational excellence and engineering best practices. They lead by example in implementing the standards and educate others by coding critical parts of the software, provide insightful code reviews, lead design reviews, review internal and external designs, and influence other teams. They oversee the development progress to identify the technical blockers or process bottlenecks, and proactively take lead in resolving them. They act as a force-multiplier by engaging with SDEs and provide needed mentoring and coaching support. About the team FinTech Accounts Receivable (AR) Cash Applications team is responsible for ingesting cash received in Amazon bank accounts into AR sub ledgers, accurately identifying customers and invoices for each payment, and applying payments to customers open balances. Cash Applications services use mechanisms like analyzing remittance information, parsing customer email correspondence, and Machine Learning models to automate cash application to reduce human errors and to improve analysts efficiency by generating recommendations where automation is not possible. BASIC QUALIFICATIONS - 8+ years of non-internship professional software development experience - 8+ years of programming with at least one software programming language experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience as a mentor, tech lead or leading an engineering team - Bachelor's degree in computer science or equivalent PREFERRED QUALIFICATIONS - 8+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

As a forward-thinking and AI-native VP of Product Management at Zycus, you will have the opportunity to lead the next frontier of innovation in Agentic AI and autonomous enterprise software. Your role will involve transforming Zycus" suite of procurement and supply chain solutions into next-gen, AI-driven products with built-in intelligence, automation, and adaptability. You will be empowered with complete ownership, from vision and design to launch and market success. **Key Responsibilities:** - Lead the vision, strategy, and execution of AI-first enterprise products, especially those leveraging Agentic AI, LLMs, intelligent agents, and advanced automation. - Drive product innovation that enables autonomous decision-making and enhances user experience via adaptive workflows and contextual intelligence. - Partner with engineering, AI/ML teams, and data science to shape product architectures that are scalable, secure, and continuously learning. - Define AI use cases across sourcing, procurement, supplier management, and compliance, translating business pain points into high-impact product features. - Guide end-to-end product development from discovery and rapid prototyping to deployment and post-launch iteration. - Develop a deep understanding of customer workflows and infuse AI capabilities to drive measurable business outcomes. - Champion a user-first mindset with experimentation, A/B testing, and behavioral analytics. - Work closely with GTM, sales, and marketing to define compelling product narratives and positioning. - Stay ahead of market trends, research advancements in GenAI and agentic systems, and bring those insights into the product roadmap. **Qualifications Required:** - Ability to handle ambiguity and change - Very strong logical thinking capabilities and analytical skills - Visualize and conceptualize new ideas and solutions - UI designing & prototyping (use of wireframing tools) - Research and analysis (both primary and secondary research) - Customer management and excellent communication & presentation skills - Art of negotiation and prioritization - Ability to manage teams and build close relationships with different team members - Visionary **Desired Experience:** - Education: BE is a must + full-time MBA from a Tier 1 B-School (IIMs, ISB, XLRI, SPJIMR, FMS, MDI, etc.). - 13+ years in product management, with recent experience building AI-native SaaS or enterprise software products. - Proven ability to conceptualize, build, and scale AI products or intelligent platforms. - Experience working with GenAI, LLMs (like GPT, Claude), intelligent agents, or autonomous product workflows. - Strong design thinking capabilities and ability to rapidly prototype innovative solutions. - Deep analytical mindset with strong intuition for user behavior, product adoption, and growth loops. - Outstanding stakeholder management, executive presence, and cross-functional leadership. - Bias for action, clarity of thought, and the ability to operate in fast-paced, ambiguous environments. **Why Should You Join Us ** - Cloud Product Company: Zycus is a Cloud SaaS Company that utilizes the latest technologies like ML and AI in product development. - Market Leader: Recognized by Gartner as a Leader in Procurement Software Suites. - Career Growth: Opportunity to shift roles and functions within the organization. - Global Exposure: Work and deal with global customers. - Impact Creation: Environment to create an impact on the product and transform ideas into reality. In summary, as a VP of Product Management at Zycus, you will lead the innovation in AI-driven products, work closely with cross-functional teams, and have the opportunity to make a real impact on the product and organization.,

As a Salesforce professional, you will be responsible for the following: - Possess a Bachelor's degree or equivalent education. - Have a minimum of 6 years of professional experience in Salesforce. - Demonstrate hands-on experience in Salesforce Sales Cloud and Service Cloud, with knowledge of other Salesforce clouds like Marketing and Experience being an added advantage. - Showcase expertise in Salesforce integration using REST, SOAP, and knowledge of Salesforce APIs. - Exhibit good knowledge of handling and simplifying Salesforce data integration designs with backend systems such as SAP, IoT, etc. - Understand the Salesforce data model, security model, and declarative capabilities. - Knowledge of front-end web technologies like HTML, CSS, and JavaScript is beneficial. - Hold Salesforce App Builder and Developer certification(s), with additional Salesforce certification(s) being advantageous. For the SAP role, your responsibilities will include: - Specializing in implementing, configuring, and managing SAP software solutions to optimize business processes. - Deploying and customizing SAP solutions based on client requirements. - Configuring various SAP modules such as SAP S/4HANA, SAP FICO, SAP MM, SAP Integration. - Gathering and analyzing business requirements to develop effective SAP strategies. - Providing training and support to end-users. - Conducting testing and troubleshooting to ensure optimal performance. Additionally, KONE focuses on creating an innovative and collaborative working culture, emphasizing employee engagement, sustainability, and ethical business practices. They value individual contributions, encourage sharing of information and ideas, and prioritize trust and respect among co-workers. KONE offers various experiences and opportunities to help you achieve personal and career goals while maintaining a healthy and balanced life. For more information, visit www.kone.com/careers.,