633 Gen Ai Jobs - Page 10

Position: Contract to Hire(C2H) Location : Bangalore Key Responsibilities: Design, develop, and optimize generative AI models using AWS Bedrock. Collaborate with cross-functional teams to understand project requirements and deliver AI-driven solutions. Conduct research and stay up-to-date with the latest advancements in generative AI and machine learning. Implement and maintain AI-centric libraries and frameworks such as langchain, langraph etc Perform data pre-processing, augmentation, and generation of synthetic data to enhance model performance. Evaluate and fine-tune AI models to ensure high-quality, creative content generation. Utilize AWS Bedrock to experiment with and evaluate top foundation models, customize them with your data, and build agents that execute tasks using your enterprise systems and data sources. Document and present findings, methodologies, and results to stakeholders. Implement and optimize Retrieval-Augmented Generation (RAG) techniques to enhance AI model performance and accuracy.

About this role: Wells Fargo is seeking a Senior Process Engineer. This role is part of Human Resources Transformation and Products Team and services all lines of businesses under Human Resources. The Human Resources (HR) Process Excellence & Transformation team is seeking a Senior Process Engineer. This team defines, measures, improves, and governs HR business processes to deliver consistent, desired outcomes for our customers; manage our operations efficiently and effectively, and strengthen risk management and compliance; performs deep dive analysis of process design and performance to provide improvement solution that drives efficiency, effectiveness or our business processes and elevates employee experience. Critical thinking, understanding of emerging technologies (like AI, Gen AI, RPA, Chatbots), consulting, problem solving, decision making, strong communication and ability to work effectively in a fast-paced, ever-changing environments are key capabilities for this role. In this role, you will: Develop and lead redesign initiatives that encompass analyses and future state redesigns Manage assigned complex initiatives involving multiple business process segments to identify risks Complete and lead integrated process analyses, identifying procedural and control deficiencies, opportunities, and recommending solutions Consult with team to understand, influence, adapt research, and create alternatives for consideration, drive results, and bring issues to resolution Make decisions and resolve issues to meet business objectives Interpret policies, procedures, and compliance requirements Collaborate and consult with peers, colleagues, and managers to resolve issues and achieve goals Interact with internal customers Receive direction from leaders and exercise independent judgment while developing the knowledge to understand function, policies, procedures, and compliance requirements Required Qualifications: 4+ years of Process Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: Proven experience in developing and executing process improvement strategies, validating positive financial results through the establishment of performance tracking capabilities that drive process efficiency, effectiveness, and an improved customer experience. Adaptable and progressive learner with the ability to explain complex technical concepts to a variety of audiences Demonstrated ability to deliver relevant information to business partners and senior leaders in that persuades, educates, and enhances understanding. Ability to drive business awareness of quality/process management methodology and coach teams in process management and continuous process improvement and operational excellence. Demonstrated capability to manage multiple initiatives concurrently, recognizing the significance of competing priorities Skilled in the use of Business Process Management Notation (BPMN) software such as iGrafx Knowledge and understanding of Statistical Analysis software such as Minitab, SAS JMP Knowledge and understanding of Rapid Process Automation software such as Ui Path, Blue Prism Experience in Design Thinking and/or Human Centered Design (HCD) Change Management skills such as Prosci/ADKAR, PMP, CAPM or Agile Lean Six Sigma Black Belt and/or strong experience in consulting Intermediate Microsoft Office (Word, Outlook skills) Excellent business communication, storytelling, Powerpoint presentations and MS Excel skills Robust understanding of identification and application of AI, GenAI, RPA, Chatbot and other emerging technologies Job Expectations: Organizes, leads, and facilitates cross-LOB, enterprise-wide process design and re-engineering initiatives that will encompass an end-to-end analysis and future state redesign that requires specialized knowledge or skill critical to the redesign effort in a matrix leadership environment. Develops improvement approaches within businesses and across lines of businesses that are holistic, customer focused to understanding business processes, latest technologies and workflow through Wells Fargo Identifies and helps to prioritize new initiatives to drive business strategy, mitigate potential risks and control gaps, financial return, and/or positive customer impact. Develops root cause analysis and business case for proposed technology, staff, and structure changes, including cost estimates Establishes standards for measuring performance against process requirements - Including the development of metrics that provide data for process management indicators for future improvement opportunities Provides advanced statistical analysis for business leaders, project teams, and managers as required. In addition, provide basic and advanced measurement approaches and mechanisms to ensure we are managing the process and producing the designed results Shares the lessons learned and best practices with others throughout the organization, when appropriate, to further promote process management. Provides assistance in the development and advancement of our common enterprise Operational and Process Excellence framework, methods, techniques, tools, training, and language. Including the development of new process improvement techniques and services, as needed Drives business awareness of our common enterprise operational and process excellence methods, techniques, tools, etc May assist with the development of our enterprise Operational and Process Excellence Curriculum and Training Materials Provides assistance and leadership of our enterprise process improvement professional support services - Including the identification and management of resources, including cross-entity members, to successfully execute projects Provides consultation on the use of reengineering techniques to improve process performance and product quality (example but not limited to LEAN, SIX SIGMA, Design Thinking) Works with HR Business leaders, SMEs, Product Manager(s) and Sponsors to ensure proposed recommendations to improve business processes or address specific business problems are prioritized along with related activities, deliverables, and tools are integrated in the product roadmap Collaborate and partner with other enterprise programs or initiatives to help advance the goals of those efforts while advancing the culture of operational excellence Provide thought leadership in the area of process management and continuous process improvement, operational excellence, continuous improvement. Provide coaching and mentoring for other process engineers, process owners and managers, and/or others informally (e.g., 1-on-1) or formally (e.g., facilitated training sessions). Shift timings: 1:30 10:30pm IST (subject to change as per business requirements)

Position: C2H Mandate Skill: GEN AI, AI Models, AWS Location: Bangalore Work Mode: Hybrid Notice Period: Immediate Joiner Role & responsibilities Design, develop, and optimize generative AI models using AWS Bedrock. Collaborate with cross-functional teams to understand project requirements and deliver AI-driven solutions. Conduct research and stay up-to-date with the latest advancements in generative AI and machine learning. Implement and maintain AI-centric libraries and frameworks such as langchain, langraph etc Perform data pre-processing, augmentation, and generation of synthetic data to enhance model performance. Evaluate and fine-tune AI models to ensure high-quality, creative content generation. Utilize AWS Bedrock to experiment with and evaluate top foundation models, customize them with your data, and build agents that execute tasks using your enterprise systems and data sources. Document and present findings, methodologies, and results to stakeholders. Implement and optimize Retrieval-Augmented Generation (RAG) techniques to enhance AI model performance and accuracy.

Looking for a highly motivated and self-driven AI Experienced Leader to head the AI and Gen AI practice and solution with the objective of designing and implementing AI and Gen AI based solutions for customers" business problems. As an AI Solution Consultant, you will be responsible for understanding customer needs and proposing AI and Gen AI empowered practical in-depth solutions for solving business problems. Additionally, as an AI Practice Head, you will be required to research industry evolution in AI and Gen AI areas to identify practical differentiating solutions for solving business problems through AI and Gen AI. In the role of AI Solution Architect, you will define the architecture, design the solutions, and implement AI and Gen AI based solutions for customer programs. You will also be expected to inspire, mentor, and build a strong Data Scientist practice & delivery team to execute complex AI and Gen AI programs for various customers. Conducting architecture reviews, design workshops, and code reviews in collaboration with AI Data Scientists and Cloud Engineers will be part of your responsibilities. Furthermore, applying statistics, modeling, and machine learning to enhance the efficiency of systems and relevance algorithms across our business application products. Requirements: - Bachelor's degree or Master's degree in Computer Science / AIML / Data Sciences - 10+ years of overall experience with hands-on experience in designing and implementing Machine Learning models, Deep Learning models for solving business problems - Expertise in R, Python (NumPy, Scikit-learn + Pandas), TensorFlow, PyTorch or MLlib and LLM solutions - Excellent problem-solving and analytical skills with the ability to translate business requirements into data science solutions - Good experience in building complex and scalable Machine Learning solutions and practically using them in production - Experience with scripting in SQL for extracting large datasets and designing ETL flows - Deep interest and aptitude in data, metrics, analysis, trends, and applied knowledge of measurement, statistics, and program evaluation - Capability of translating analysis results into business recommendations - Effective communication skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders.,

You will be joining the S&C Global Network team as an Analyst focusing on AI and Web Analytics. The role is based in Gurugram, DDC1A, NonSTPI. Your main skillset should include proficiency in Web Analytics Tools. It would be beneficial if you also have the ability to utilize design thinking, optimize business processes, and manage stakeholders effectively. In this position, you will drive strategic initiatives, oversee business transformations, and use your industry expertise to develop value-driven solutions. Your responsibilities will include providing strategic advisory services, conducting market research, and formulating data-driven recommendations to enhance business performance. As a part of the Analytics practice, you will collaborate with a global network of intelligent colleagues experienced in leading AI/ML/Statistical tools for various applications such as digital marketing, web/mobile analytics, customer data platform, personalization, and GEN AI. Your role will involve working closely with Solution Architects, Data Engineers, Data Scientists, and Digital Marketers to help clients derive value from their digital assets through personalized activation. Key responsibilities will include being an expert in leading Tag Management platforms, developing visualization tools, configuring analytics tools like GA360/GA4 and Adobe Analytics, assessing clients" MarTech stack, performing technical analysis & design, translating business requirements, implementing analytics tags, managing data, conducting root cause analysis, and collaborating with various stakeholders to achieve project objectives. To excel in this role, you should possess relevant experience in the domain, strong analytical and problem-solving skills, effective communication abilities, and the capacity to thrive in a fast-paced environment. Additionally, this position offers the opportunity to work on innovative projects, career growth prospects, and exposure to leadership roles. Join us at Accenture for a challenging and rewarding career journey.,

As a Data Science Manager in the S&C GN team at Accenture, you will join a dynamic and innovative group specializing in the Contact Center domain. Our team is committed to revolutionizing customer interactions through data-driven intelligence. We focus on optimizing contact center operations by harnessing the power of machine learning, natural language processing (NLP), and advanced analytics. Your role will involve leveraging Generative AI and Machine Learning to enhance customer experiences and streamline contact center operations. You will be responsible for developing and fine-tuning Generative AI models to automate responses, improve self-service capabilities, and enhance customer interactions. Building and deploying ML models for intent classification, sentiment analysis, and predictive analytics will also be part of your duties. Customer segmentation and behavioral analysis will play a crucial role in identifying patterns, personalizing recommendations, and driving targeted engagement strategies. You will work on optimizing conversational AI workflows to enhance intent recognition, response generation, and real-time decision-making. Analyzing large-scale customer interaction data to extract actionable insights and refine business strategies will be integral to your responsibilities. Collaboration with cross-functional teams, including engineering, product, and marketing, will be essential to integrate AI-driven solutions into existing platforms. As a manager, you will lead stakeholder engagement, client communication, and business development efforts. You will translate complex AI/ML insights into actionable business strategies and present them to senior leadership and clients. Driving data-driven solutions, understanding client pain points, and identifying new opportunities for innovation and expansion will be key aspects of your role. Your strong interpersonal and negotiation skills will be instrumental in fostering successful partnerships and driving long-term business impact. If you are passionate about applying data science to address real-world customer experience challenges, this role offers an exciting opportunity to work on cutting-edge AI and data science techniques with a focus on driving impactful outcomes in the contact center space.,

Job Title: Data Analyst Power BI & Python (with Data Quality & Storytelling Expertise) Experience: 3 to 6 Years Location: Chennai / Hybrid Employment Type: Full-Time Role: Data Analyst / Business Intelligence Specialist Job Description: We are looking for a highly motivated and skilled Data Analyst with hands-on experience in Power BI, Python, and SQL . The ideal candidate should be proficient in data storytelling, capable of identifying functional/data gaps, and transforming raw data into actionable insights for stakeholders across business and technology. Key Responsibilities: Analyze large datasets to identify data quality issues and functional gaps Conduct discussions with stakeholders to present insights and gaps effectively Leverage Power BI to build intuitive dashboards and create visual data narratives Use Python for data preparation and transformation supporting Power BI models Work closely with business/data providers to guide correct dataset sourcing Develop test cases and record them in test management platforms as required Prepare status reports and contribute to project documentation, KT, and team backups Required Technical Skills: Skill AreaTools / TechnologiesBI & DashboardsPower BI (Power Query, DAX, M Query)Data AnalysisPython (Pandas, NumPy), SQLData ModellingRelational models, ETL pipelinesVisualizationData storytelling with charts, graphsAgile PracticesDaily reporting, cross-functional collaborationBonus SkillsPrompt Engineering / Gen AI awareness Behavioral & Transversal Competencies: Strong communication (oral & written) Creativity and analytical problem solving Results-driven and self-managed attitude Strong collaboration and teamwork spirit Comfortable managing meetings, KPIs, documentation Educational Qualification: Bachelors degree in Computer Applications / Engineering / MCA Minimum 3 years of relevant experience in Data Analysis & BI Reporting If anyone interested please share your updated resume below Email muthukrishnan.saminathan@kiya.ai 6369929072

Hi , We are currently hiring for the following exciting opportunities within our organization AIML engineer /Data Scientist with following skills : PythonData ScientistGen AIAIMLDeep learningTensorflowComputer VisionKerasPytorchMachine LearningArtificial Intelligence All roles are Work from Office in Hybrid MOde.

Sr. Full Stack Developer AI & Cloud Experience Range: 5-8 Years Location: Noida Job Summary We are seeking a Senior Full-Stack Developer to join our Architecture Practice at Noida office. In this role, you will design and develop AI-powered applications using Python, .NET Core, Angular, and Azure. You will work on integrating AI models, building scalable cloud-native systems, and leveraging tools like GitHub Copilot, Azure Foundry, Agentic frameworks to accelerate development. This is a hands-on role at the intersection of full-stack engineering and AI innovation, including agentic AI, AI-assisted SDLC, and other emerging technologies. Key Responsibilities Full-Stack Development Build scalable backend services using Python and .NET Core (Web APIs, Entity Framework). Develop responsive frontend applications using Angular (13+) and Stream lit for rapid AI tool prototyping. Integrate AI/ML and LLM models into end-to-end application workflows. AI-Driven SDLC Use AI coding assistants like GitHub Copilot or Code Whisperer to enhance development speed and code quality. Automate testing, code analysis, and deployment using CI/CD pipelines and AI tools. Cloud Deployment Deploy and manage applications on Azure (App Services, Functions, Azure SQL, AI Studio). Implement microservices and event-driven architectures in collaboration with solution architects. Collaboration & Leadership Mentor junior developers on AI/ML integration and modern development practices. Contribute to architectural decisions and technical strategy. Required Skills & Qualifications 5-8 years of experience in web-based application development . Mandatory 5+ years of full-stack development experience with Python and .NET Core. 3+ years of frontend development using Angular, TypeScript, and RxJS. Hands-on experience integrating AI/ML models (e.g., scikit-learn, PyTorch) into production applications. Proficiency in Azure cloud services (App Services, Functions, Azure SQL). Preferred Experience with AI coding tools like GitHub Copilot or CodeWhisperer. Familiarity with Streamlit for AI/ML UI prototyping. Knowledge of Azure Machine Learning, LLM fine-tuning (e.g., GPT, Claude). DevOps skills: CI/CD, Docker, Infrastructure as Code (IaC). Education and Experience Bachelors degree in computer science, Engineering, or a related field (or equivalent practical experience). 5–8 years of hands-on development experience, including 2+ years in AI/ML projects. Portfolio or GitHub showcasing work in Python, .NET, Angular, and AI/ML (preferred). Why Join Us? Build AI-first applications using cutting-edge tools like GitHub Copilot, Azure AI, and Stream lit. Drive innovation in the software development lifecycle through AI automation and pair programming. Collaborate with a forward-thinking architecture team and grow into technical leadership roles. Enjoy a collaborative, innovation-driven culture with opportunities for continuous learning.

Primary Skills ITSM automation SME, conversational AI architects and consultants RPA automation, self-healing solutions architects and consultants Observability tools (APM and infra) SMEs AI Ops architects and consultants L3 solutions architects and consultants CloudOps / FinOps consultants AI architects, Agentic AI SMEs Role and Responsibilities Hands on experience on ITSM automation, should have worked as SME, conversational AI architects and consultants. have the working experience with L3 solutions architects on Gen AI driven impact analysis, Gen AI driven code generation Excellent problem solving/analytical skills and complex troubleshooting methods. Excellent presentation, verbal, and written communication skills. Good and adaptable with : ITSM, ServiceNow (interchangeable with SNOW), NowAssist, BMC Helix, BMC Remedy, BMC Helix RemedyForce

Location: Bangalore/Gurugram/Chennai/Pune/Kolkata/Hyderabad As a Gen-AI Solution Architect at Tredence, you will be at the forefront of driving innovation in artificial intelligence and generative technologies. Your role will involve designing, developing, and implementing cutting-edge AI solutions tailored to meet the unique needs of our clients. You will work closely with crossfunctional teams to understand business requirements, architect scalable AI solutions, and oversee their successful deployment. This position requires a deep understanding of AI technologies, excellent problemsolving skills, and the ability to communicate complex concepts effectively. Your role will encompass various responsibilities, including but not limited to the following: Key Responsibilities: Design end-to-end AI solutions leveraging generative technologies to address business challenges effectively. Architect scalable and efficient AI systems that integrate seamlessly with existing infrastructure and processes. Lead the development and implementation of AI models, algorithms, and applications. Conduct research to stay updated on the latest advancements in AI and generative technologies. Provide technical guidance and mentorship to development teams to ensure best practices are followed. Perform code reviews, troubleshoot issues, and optimize performance to deliver high-quality solutions. Work closely with data scientists, engineers, and product managers to drive innovation and achieve project goals. Define technical requirements, architecture standards, and best practices for AI development projects. Collaborate with sales and business development teams to support pre-sales activities, including solution demonstrations and client presentations. Stay informed about industry trends, emerging technologies, and competitive landscape to identify opportunities for innovation and growth. Act as a subject matter expert on AI and generative technologies, providing thought leadership within the organization and to external stakeholders. Qualifications: Bachelors or masters degree or Ph.D. in computer science, data science, or a related field. Proven experience as a Data Science Solution Architect, technical lead or a similar role in the AI domain. Deep understanding of artificial intelligence, machine learning, and generative technologies. Hands-on experience with AI frameworks and libraries such as TensorFlow, PyTorch, and OpenAI. Proficiency in programming languages such as Python, R, or Java. Hands-on experience with AI frameworks and libraries such as TensorFlow, PyTorch, and OpenAI. Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams. Demonstrated leadership abilities with a track record of successfully leading AI projects from conception to delivery. Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud platforms. Relevant certifications (e.g., AWS Certified Solutions Architect, Microsoft Certified: Azure Solutions Architect) a plus.

We are seeking a passionate and skilled Generative AI Engineer to join our AI/ML team. You will be responsible for designing, developing, and deploying cutting-edge GenAI solutions using large language models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI frameworks. This role is ideal for someone who thrives in a fast-paced environment and is excited about building intelligent systems that push the boundaries of AI. Key Responsiblity: Design and implement GenAI solutions leveraging LLMs, RAG pipelines, and Agentic AI architectures. Develop and fine-tune deep learning models for NLP tasks using frameworks like PyTorch or TensorFlow. Build scalable APIs using FastAPI to serve AI models and integrate with enterprise systems. Collaborate with data scientists and ML engineers to deploy models using CI/CD pipelines on Azure. Optimize model performance and ensure robustness in production environments. Stay updated with the latest research and advancements in generative AI and deep learning. Skill: Strong programming skills in Python with experience in building ML/NLP applications. Hands-on experience with Deep Learning , Machine Learning , and Natural Language Processing . Proficiency in working with LLMs (e.g., GPT, LLaMA, Mistral) and RAG architectures. Experience with Agentic AI frameworks and autonomous agent design. Familiarity with FastAPI for building RESTful APIs. Experience with CI/CD pipelines and deploying solutions on Azure Cloud . Solid understanding of data structures, algorithms, and software engineering principles. Bachelors or Master’s degree in Computer Science, AI, Data Science, or related field. If you are interested, please share your resumes to jyothiveerabh.akula@hcltech.com

Role & responsibilities Main Skills : AI Archt (Solutions/Technical) - LLM/Gen AI + Any Cloud + Python Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Natural Language Processing (NLP) Roles & Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Develop applications and systems utilizing AI tools and Cloud AI services. - Apply GenAI models as part of the solution. - Implement deep learning and neural networks. - Create chatbots and work on image processing. - Collaborate with team members to provide innovative solutions. Professional & Technical Skills: - Must To Have Skills: Proficiency in Natural Language Processing (NLP). - Strong understanding of statistical analysis and machine learning algorithms. - Experience with data visualization tools such as Tableau or Power BI. - Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. - Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information: - The candidate should have a minimum of 2 years of experience in Natural Language Processing (NLP).

Job Summary: We are looking for an experienced AI/ML Engineer with strong expertise in Artificial Intelligence, Machine Learning, Generative AI, and Large Language Models (LLMs). The ideal candidate will play a critical role in building and deploying intelligent systems using cutting-edge AI frameworks and platforms, including Google Agentspace. Key Responsibilities: Design, develop, and deploy advanced ML and GenAI models tailored to business requirements. Work with Large Language Models (LLMs) to build NLP/NLU/NLG solutions. Develop, fine-tune, and optimize AI/ML algorithms for production-grade applications. Collaborate with cross-functional teams (Data Scientists, Data Engineers, Product Owners) to integrate AI models into real-world applications. Utilize Google Agentspace and other cloud-native tools for building scalable AI workflows. Stay updated with emerging AI/ML technologies and apply them where relevant. Ensure data privacy, model accuracy, explainability, and performance compliance. Must-Have Skills: Strong hands-on experience with AI/ML and Generative AI techniques . Proficiency in Python and key ML/AI libraries such as TensorFlow, PyTorch, scikit-learn. Expertise in LLM (Large Language Models) such as GPT, PaLM, BERT, etc. Experience working with Google Agentspace or similar platforms for AI deployment. Solid understanding of data pipelines, feature engineering, and model evaluation. Excellent problem-solving and analytical skills.

Job Summary Shaip.ai is seeking experienced linguistics professionals who bring a blend of deep linguistic expertise and team management capabilities. As a Manager, you will play a pivotal role in supporting our LLM, ASR, and TTS models, and managing linguistic teams working across multilingual AI data projects. You will work closely with machine learning engineers, data sourcing teams, and project stakeholders to ensure linguistic quality and on-time delivery of high-quality annotated language datasets. Key Responsibilities Linguistic Expertise & Support • Collaborate with ML engineers to understand project goals, data specifications, and linguistic requirements. • Embed linguistic rules into model architecture and data processing workflows. • Design, document, and review annotation guidelines for linguistic, speech, and conversational AI projects. • Conduct linguistic evaluations and provide detailed feedback to improve model performance and output quality. Team & Project Management • Partner with the data sourcing and project teams to define and align on delivery timelines and milestones. • Set up efficient data workflowsfrom raw data intake to final annotation delivery. • Source, on board, and manage team of linguists across multiple languages and regions. • Allocate tasks, track productivity, maintain annotation quality, and ensure delivery SLAs are met. Required Qualifications • Masters or PhD in Linguistics, Computational Linguistics, or a closely related field. • Minimum 2 years of hands-on experience working in NLP, GenAI, or speech data projects. • Proven experience in designing annotation workflows and linguistic guideline creation. • At least 2 years of experience managing teams or coordinating projects. • Experience with low-resource or regional languages is highly desirable. Technical & Core Competencies • Linguistic Analysis: Strong foundation in syntax, morphology, semantics, and phonetics. • Language Proficiency: Fluency in two or more Indian languages (spoken, written, and grammar). • Project Setup: Familiarity with NLP data workflows, annotation tools, and delivery pipelines. • People Management: Experience managing freelancers, task assignments, and quality assurance. • Collaboration: Ability to act as a bridge between linguistic and technical teams. • Problem Solving : Analytical mindset for handling language model and annotation challenges

Greetings !!! We have Walkin Drive in Hyderabad on 12th July for GEN AI Developers Skills Required - GEN AI , Python , Lang chain Experience - 3 to 5 years Interested candidates can share resumes to anmol.bhatia@incedoinc.com

Proficiency in programming languages such as Python, R, or Java. Design and develop AI solutions using machine learning (ML), deep learning (DL), and natural language processing (NLP) techniques. Strong analytical and problem-solving skills.

Apply here: https://www.amazon.jobs/en/jobs/2945640/delivery-consultant-ai-ml-and-generative-ai-professional-services-gcc Role & responsibilities - Designing, implementing, and building complex, scalable, and secure GenAI and ML applications and models built on AWS tailored to customer needs - Providing technical guidance and implementation support throughout project delivery, with a focus on using AWS AI/ML services - Collaborating with customer stakeholders to gather requirements and propose effective model training, building, and deployment strategies - Acting as a trusted advisor to customers on industry trends and emerging technologies - Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts Preferred candidate profile - Experience in cloud architecture and implementation - Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience - Proven track record in designing and developing end-to-end Machine Learning and Generative AI solutions, from conception to deployment - Experience in applying best practices and evaluating alternative and complementary ML and foundational models suitable for given business contexts - Foundational knowledge of data modeling principles, statistical analysis methodologies, and demonstrated ability to extract meaningful insights from complex, large-scale datasets

Gen Ai engineer, Python, Sql, Gen AI, LLM,RAG Immediate position Walk IN 13th Saturday Hyd /BLR Call -8522016118

Job Title : Dot Net Architect Location : PAN INDIA Qualification : Graduation/Post-Graduation Experience : 11+ Years Required skills - Experience in .Net Architect Experience in .Net Core, Azure Experience in Angular or React Experience in Gen AI Mandatory Excellent communication skill. Interested candidates can send their resume and below details at priyanka.v@sigmacareers.in 1. Notice Period (LWD)- 2. Current CTC- 3. Expected CTC Per Month- 4. Current company- 5. Total year of experience- 6. Relevant experience- 7. Do have any offer how much offer you are having offer- 8. Current location- 9. Preferred location- Pune/ Bangalore

Hi All, We are looking for "Gen AI Engineer" for MNC Company, Experience- 4-12 Years Location- Pan India (Hybrid Mode) Notice Period- Immediate Joiner Mandatory Skills:- Gen AI Azure Cognitive Services Python JD - GenAI Engineer/Developer Role Overview: We are seeking a skilled OpenAI Developer to join our dynamic team. The ideal candidate will have a robust understanding of AI and machine learning, with particular expertise in integrating OpenAI models with Microsoft's Power Platform (including Power Automate and Power Virtual Agents), Azure Cognitive Services, and agentic AI frameworks. This role also requires experience in Azure deployment of AI solutions and modern Autogen-based architectures for building intelligent multi-agent systems. Key Responsibilities: Design, develop, and optimize OpenAI-powered applications, including multi-agent frameworks, chatbots, and AI-based customer support systems. Leverage agentic technologies (e.g., Autogen framework) to implement AI agents capable of collaborating and completing complex tasks autonomously. Build and maintain backend services using Python or .NET to support OpenAI integrations. Work with custom datasets, applying techniques such as chunking, embedding, and vector search for model fine-tuning and retrieval-augmented generation (RAG). Integrate Azure Cognitive Services (e.g., Text Analytics, Translator, Form Recognizer) to enhance functionality and intelligence of AI solutions. Ensure scalable and secure deployment of AI solutions on Azure, using services like Azure Functions, Azure App Service, and Azure Kubernetes Service (AKS). Regularly evaluate and fine-tune GPT models to ensure high performance and relevance. Collaborate with cross-functional teams, including product, design, and QA, to ensure seamless development and deployment pipelines. Stay up to date with advancements in OpenAI, Azure AI, and agent-based technologies, and proactively contribute innovative ideas. Required Skills and Experience: Bachelor's degree in Computer Science, Engineering, or related field. Proficient in Python or .NET for backend and AI integration development. Strong experience with OpenAI GPT models and their practical applications. Experience with agentic technologies (e.g., Autogen, LangGraph, CrewAI) for multi-agent systems. Familiarity with Microsoft Azure Cognitive Services and Azure AI Studio. Solid grasp of machine learning fundamentals, including training, fine-tuning, and evaluating language models. Practical knowledge of Natural Language Processing (NLP) techniques. Hands-on experience with CI/CD tools such as Google Cloud Build, Jenkins, GitHub Actions, or Azure DevOps. Ability to work collaboratively in an agile, team-oriented environment under tight deadlines. Excellent problem-solving, debugging, and analytical skills. Desirable Skills: Masters degree or higher in AI, ML, or a related technical field. Prior experience in chatbot development for customer service or enterprise use cases. Certification(s) in Microsoft Azure, OpenAI, or machine learning technologies. Experience deploying and managing OpenAI solutions in Azure environments. Familiarity with RAG architectures, Azure AI Search, and blob storage indexing. Knowledge of Copilot Studio, Power Platform AI builder, or Conversational AI tools. if anyone interested for this position please share your resume on this Mail Id:- priya.singhal@thehrsolutions.in

Ready to shape the future of work At Genpact, we don&rsquot just adapt to change&mdashwe drive it. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos , our industry-first accelerator, is an example of how we&rsquore scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to , our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that&rsquos shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at and on , , , and . Inviting applications for the role of Consultant, Senio r Data Scientist ! In this role, you will have a strong background in Gen AI implementations, data engineering, developing ETL processes, and utilizing machine learning tools to extract insights and drive business decisions. The Data Scientist will be responsible for analysing large datasets, developing predictive models, and communicating findings to various stakeholders Responsibilities Develop and maintain machine learning models to identify patterns and trends in large datasets. Utilize Gen AI and various LLMs to design & develop production ready use cases. Collaborate with cross-functional teams to identify business problems and develop data-driven solutions. Communicate complex data findings and insights to non-technical stakeholders in a clear and concise manner. Continuously monitor and improve the performance of existing models and processes. Stay up to date with industry trends and advancements in data science and machine learning. Design and implement data models and ETL processes to extract, transform, and load data from various sources. Good hands own experience in AWS bedrock models, Sage maker, Lamda etc Data Exploration & Preparation - Conduct exploratory data analysis and clean large datasets for modeling. Business Strategy & Decision Making - Translate data insights into actionable business strategies. Mentor Junior Data Scientists - Provide guidance and expertise to junior team members. Collaborate with Cross-Functional Teams - Work with engineers, product managers, and stakeholders to align data solutions with business goals. Qualifications we seek in you! Minimum Qualifications Bachelor%27s / Master%27s degree in computer science , Statistics, Mathematics, or a related field. Relevant years of experience in a data science or analytics role. Strong proficiency in SQL and experience with data warehousing and ETL processes. Experience with programming languages such as Python & R is a must . (either one ) Familiarity with machine learning tools and libraries such as Pandas, scikit-learn and AI libraries. Having excellent knowledge in Gen AI, RAG, LLM Models & strong understanding of prompt engineering. Proficiency in Az Open AI & AWS Sagemaker implementation. Good understanding statistical techniques such and advanced machine learning Experience with data warehousing and ETL processes. Proficiency in SQL and database management. Familiarity with cloud-based data platforms such as AWS, Azure, or Google Cloud. Experience with Azure ML Studio is desirable. Knowledge of different machine learning algorithms and their applications. Familiarity with data preprocessing and feature engineering techniques. Preferred Qualifications/ Skills Experience with model evaluation and performance metrics. Understanding of deep learning and neural networks is a plus. Certified in AWS Machine learning , AWS Infra engineer is a plus Why join Genpact Be a transformation leader - Work at the cutting edge of AI, automation, and digital innovation Make an impact - Drive change for global enterprises and solve business challenges that matter Accelerate your career - Get hands-on experience, mentorship, and continuous learning opportunities Work with the best - Join 140,000+ bold thinkers and problem-solvers who push boundaries every day Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let&rsquos build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color , religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training.

Key Responsibilities: Generative AI Systems Design : Architect scalable, high-performance applications powered by Generative AI models (e.g., LLMs, diffusion models), with a focus on real-world usability and business integration. Prompt Engineering & RAG Pipelines : Design and implement optimized prompt strategies and Retrieval-Augmented Generation (RAG) workflows using LangChain and similar frameworks. Agentic AI & Autonomous Workflows : Develop and manage intelligent agents capable of multi-step reasoning, planning, and decision-making using frameworks like LangChain Agents or custom implementations. Vector Store Integration : Design and integrate vector databases for semantic search and document retrieval in GenAI workflows. End-to-End AI Application Development : Build and deploy AI-driven applications from scratch using Python and modern ML/AI toolkits. Ensure clean integration with APIs, databases, and frontend services. Microservices & API Development : Create modular, maintainable backend services using microservices architecture. Ensure RESTful APIs for smooth communication. CI/CD & DevOps : Develop and maintain CI/CD pipelines for model and app deployment. Ensure reproducibility, automated testing, and smooth rollout using tools like GitHub Actions, GitLab CI/CD, or Jenkins. Database Management : Use PostgreSQL and NoSQL databases effectively in storing structured and unstructured data, with focus on performance, indexing, and scaling. Performance Optimization : Continuously monitor, benchmark, and optimize applications for performance, scalability, and cost-efficiency across cloud and on-prem environments. Collaboration & Mentorship : Work closely with product managers, AI researchers, and junior developers. Lead by example and provide technical mentorship in AI system design and production-readiness. Required Qualifications: Technical Expertise : Strong proficiency in Python (mandatory) and experience with AI/ML libraries like FastAI , Hugging Face Transformers, and OpenAI APIs. Experience implementing LangChain workflows, prompt chaining, agents, tools, and memory systems. Hands-on experience building RAG systems using vector DBs like FAISS, Pinecone, Weaviate , or Chroma . Solid understanding of Generative AI technologies (LLMs, image/video generation, embeddings). Working knowledge of Agentic AI concepts for building autonomous tools and applications. Backend & Architecture : Strong skills in system design , API development, and microservices-based backend architecture. Experience with PostgreSQL and NoSQL databases (e.g., MongoDB, DynamoDB). Cloud & DevOps : Familiarity with CI/CD pipelines , containerization (Docker), and cloud deployments (AWS/GCP/Azure). Git-based version control and collaborative development workflows. Communication & Leadership : Ability to translate AI research into production-ready applications. Strong collaboration skills and experience leading engineering efforts or mentoring peers. Preferred (Nice to Have): Experience working with LLMOps tools Exposure to data labeling, fine-tuning , or custom LLM training . Familiarity with streaming architectures or real-time AI inference . Location- Pune, Baner Client Office Work Mode- Hybrid ( 3 days a week) Payments Domain is Mandatory

Department - Business Intelligence Unit A. Position Summary: This leadership role combines the strategic oversight of the Business Intelligence Unit with technical depth in software engineering. The role will drive data-driven decisions and innovation by leading analytics, AI, and engineering functions, while ensuring robust data platforms, scalable applications, and agile product delivery across departments. will be responsible for driving data-driven decision-making by developing and managing business intelligence strategies, analytics, and reporting frameworks. This role will ensure effective data utilization to enhance business performance, improve customer insights, and support strategic initiatives while ensuring compliance with regulatory and business requirements. B. Key Responsibilities: Business Intelligence & Analytics Define and implement BI and AI strategy for actionable business insights Lead analytics, visualization, and reporting frameworks for functional teams (sales, claims, underwriting, operations) Champion predictive and prescriptive analytics using ML and GenAI Guide business performance reviews via dashboards, KPIs, and deep-dive analyses Collaborate with stakeholders to convert business needs into data-backed solutions Maintain high data quality, governance, and regulatory compliance Software Engineering & Technology Leadership Oversee design, development, and deployment of scalable BI and data apps Lead end-to-end data platform engineering, including cloud-native services and APIs Spearhead automation and digitization of reporting and analytics ecosystems Collaborate with product and IT teams to build reusable data services and APIs Ensure modern DevOps practices, CI/CD pipelines, and agile delivery of BI tools Evaluate and integrate open-source and enterprise tools to strengthen BI stack Team & Stakeholder Management Lead and mentor a high-performing team of BI engineers, analysts, and data scientists Foster a culture of engineering excellence, agility, and innovation Build cross-functional partnerships with senior business and technology leadership C. Job Specifications: Education: Bachelors/Masters in Computer Science, Data Science, Analytics, Statistics, or a related field Experience: 12+ years in BI, data engineering, or software development—preferably in insurance/financial services 5+ years in a leadership role managing cross-functional analytics or engineering teams Demonstrated experience with full software development lifecycle in an agile environment Certifications Preferred: Power BI, Tableau, AWS/Azure Data Engineering, Python, ML, DevOps, or related credentials D. Key Technical Skills and Core Behavioral Competencies BI & Analytics: Power BI, Tableau, SQL, Python, R, statistical modeling, GenAI, ML libraries (e.g. scikit-learn, TensorFlow). Expertise in BI tools (Power BI, Tableau) and data visualization. Strong command of SQL, Python, R, statistical modelling and GenAI techniques. Advanced knowledge of AI, machine learning, predictive analytics and GenAI Proficiency in data warehousing, ETL processes, and cloud-based analytics solutions. Software Engineering: Node.js/Python/Java, REST APIs, Git, CI/CD, containerization (Docker), orchestration (Kubernetes), and cloud (AWS, Azure) Data Infrastructure : Data lakes, data warehouses, ETL pipelines, cloud-based data engineering (e.g. Snowflake, Redshift, BigQuery) Core Behavioural Competencies Strong analytical and problem-solving skills. Strategic thinking with a data-driven approach. Excellent leadership and team management abilities. Effective stakeholder collaboration and business acumen. High attention to detail and accuracy. Ability to drive innovation and process automation.

Responsibilities: 6+ Pan India Work from Home * Develop generative AI models using cutting-edge techniques. * Optimize model performance through continuous learning. * Collaborate with cross-functional teams on project delivery.