633 Gen Ai Jobs - Page 25

Job Description With excellent analytical and problem-solving skills, you should understand business problems of the customers, translate them into scope of work and technical specifications for developing into Data Science projects. Efficiently utilize cutting edge technologies in AI, Generative AI areas and implement solutions for business problems. Good exposure technology platforms for Data Science, AI, Gen AI, cloud with implementation experience. Ability to provide end to end technical solutions leveraging latest AI, Gen AI tools, frameworks for the business problems. This Job requires the following: Designing, developing, and implementing end-to-end machine learning production pipelines (data exploration, sampling, training data generation, feature engineering, model building, and performance evaluation) Deep experience in predictive analytics and statistical modeling Deep experience in successfully making use of the following: Logistic Regression Multivariate Regression, Support Vector Machines, Stochastic Processes, Decision Trees, Lifetime analysis, common clustering algorithms, Optimization, CNN Essential Qualifications B-Tech or BE - computer / IT or MCA or MSC- Computer Science along with necessary certifications is preferred Technical Qualifications (Essential) At least 2 to 3 ML apps deployed in production At least 1 to 2 Gen AI apps in production. Experience in Computer vision is a must. Core ML experience is a must Hands-on programming experience Hands-on technical design experience Hands-on prompt engineering experience At least 3 Data Science, AI Projects designed, developed and delivered to production At least 1 Generative AI Project designed, developed and delivered to production Primary Skills Hands-on coding experience in Python, PyTorch, Spark/PySpark, SQL, TensorFlow, NLP Frameworks and similar tools/frameworks Good understanding of business and domain of the applications Hands-on experience in design and development of Gen AI applications using Open Source LLMs and cloud platforms Hands-on experience in design and development of API based applications for AI and Data Science Projects Expertise in GenAI concepts, RAG and Models fine-tuning techniques Understand the concepts of major AI models such as OpenAI, Llama, Hugging Face, Mistral AI etc., and implementation experience Understanding of DevOps pipelines for deployment Good understanding of Data Engineering lifecycle data pipelines, data warehouse, data lake Secondary Skills End to end data engineering project experience using Databricks and Azure Data platform Knowledge of any configuration management tools is desirable Familiarity with containerization and container orchestration services like Docker and Kubernetes Description of Responsibility Sills / Competencies requirement Functional & Technical Responsibilities Understand customer’s requirements (Business, Functional, Non-Functional etc.,), conduct feasibility study and develop technical specifications for Data Science, AI and Gen AI Projects Design and implement scalable solutions for Data Science, AI and Gen AI Projects using major technology and computing platforms (open source and cloud) Possess excellent analytical and problem-solving skills and be able to understand various forms of data, patterns and derive insights. Should be able to develop efficient Prompts to automate project activities using LLM tools and provide end to end solutions Provide Generative AI solutions for the business/automation requirements using open source LLMs (Open AI, Llama, Mistral etc.,) Collaborate internal and external stakeholders for deriving solution that requires cross functional teams and smoother execution of the projects Provide technical solutions to sales, pre-sales teams for the proposals Develop and guide team members in implementation of solutions related to Data Science, AI and Gen AI Projects Expert knowledge of data modeling and understanding of different data structures Experience with design of AI/ML solutions either as standalone or integrated with other applications Research Orientation Proactive & Clear Communication Collaboration Solution Orientation Solution Articulation Accountability Adaptability / Flexibility Analytical Skills Listening Skills Customer Service Orientation

Required: 18+ yrs in Mainframe tech, 3–5 yrs leading large AMS projects. Must know automation, Gen AI, virtual assistants, observability, AIOps. Prior AMS service leadership experience essential. Must have technical leadership and people management.

Role & responsibilities Strong problem-solving skills Generative AI ( Lang chain, Open AI) Advance level of python and JavaScript Python libraries like Fast API , pytest Git React JS Docker, Kubernetes Basic Linux commands Familiar with Azure/GCP Requirement: -Need some knowledge of genAI - past 1-2 projects -Need to have strong python, they need to know how to deploy the APIs into Kubernetes and have strong hands on docker experience -Manage application on Kubernetes, ensure high scalability and availability. -Experience in typescript (they will be developing extensions written in typescript) -Design develop and deploy scalable python APIs -Once deployed, need to debug that issue in the endpoints. -Knowledge on LLM models.

Role & responsibilities Strategic Executive Influence (30%) Deliver high-impact insights and advisory support to the ELT and HRSLTshaping talent strategies, workforce investments, and organizational decisions with data-driven narratives and real-time analytics. AI-Driven Talent Intelligence (25%) Have experience with AI/ML solutions (e.g., talent segmentation, skills inference, generative AI for workforce planning) that anticipate trends, uncover risks, and identify opportunities for growth and optimization. Enterprise Decision Support (20%) Lead talent intelligence initiatives that inform M&A assessments, org design, strategic workforce planning, and culture evolutionconnecting people data to business outcomes. Advanced People Analytics & Workday Integration (15%) Guide robust statistical and machine learning analyses (e.g., SEM, clustering, forecasting, predictive modeling). Bridge analytics platforms with Workday to extract and operationalize insights across the talent lifecycle. Global Team Leadership (10%) Lead and evolve the People Insights team into a world-class function. Champion a culture of data literacy across HR through tools, enablement, and strategic partnerships. Preferred candidate profile 1015 years of progressive experience in People Analytics, Data Science, Strategy, or Organizational Effectiveness with significant exposure to executive-level influence. 8+ years leading high-performing teams, ideally in a global, matrixed organization. Deep fluency with Workday including data extraction, integration, and reportingand the ability to bridge it with analytics tools and platforms. Proficiency in Python, R, SQL, Power BI/Tableau, and cloud environments (Azure, AWS, or GCP). Proven ability to communicate complex insights through clear storytelling that drives action at the highest levels

All Levels - Comms & Media- Non-Networks Join our team in Strategy & C onsulting Global Network to find endless opportunities and solve our clients toughest" challenges, as you work with exceptional people, the latest tech and leading companies across industries. Practice: Comms & Media , Industry Consulting, S&C Global Network (GN) I Areas of Work: Non-Networks | Level: Manager & Sr Manager | Location: Delhi, Gurgaon, Mumbai, Bangalore , Pune, Hyderabad | Years of Exp: 8- 15 years Explore an Exciting Career at Accenture Are you an outcome-oriented problem solver? Do you enjoy working on transformation strategies for global clients? Does working in an inclusive and collaborative environment spark your interest? Then, is the right place for you to explore limitless possibilities. Comms & Media (C&M) is one of the Industry Practices within Accentures S&C Global Network (GN) team. It focuses in serving clients across specific Industries- Communications, Media & Entertainment. Communications - Focuses primarily on industries related with telecommunications and information & communication technology (ICT). This dynamic team serves most of the worlds leading wireline, wireless, cable and satellite communications and service providers. Media & Entertainment- Focuses on industries like broadcast, entertainment, print and publishing. Globally, works to develop value growth strategies for its clients, who are top-notch organizations, and help improve their offers and go-to-market performance and maximize organizational effectiveness. We work on end-to-end projects delivering management and technology consultancy to help our clients achieve greater profitability, quality, and reliability. From multi-year major systems integration transformation deals to shorter more agile engagements, we have a rapidly expanding portfolio of hyper-growth clients and an increasing footprint with next-gen technology and industry practices , with the following requirements : Deep expertise in one or more Telecom Domain s such as Cloud BSS, Telco on Cloud, AI/ GenAI , Customer Experience, SMB, Order Management & Billing for B2B / B2C Client facing e xperience working directly or indirectly with North America ICT clients ; preferably international Onsite experience Lead delivery of small to medium-size teams to deliver management consulting projects for North America clients. Lead innovation transformation programs and process enablement for our clients Take responsibility within Comms & Media industry group or across the Products group, help build the practice, track metrics, and so on. Develop assets and methodologies , point-of-view, research, or white papers for use by the team and larger community. Support North America sales team to identify and win potential opportunities within the practice. Help in drafting proposals as an expert for domain areas. Lead proposals, business development efforts and coordinate with other colleagues to create consensus-driven deliverables. Understand customer needs and translate them to business requirements, business process flows and functional requirements Experience to engage with stakeholders independently Execute a transformational change plan aligned with clients business strategy and context for change. Engage stakeholders in the change journey and build commitment for change. Bring your best skills forward to excel in the role: Skills in one or more Telecom areas Should have an excellent knowledge on various BSS modules and Telco Journeys such as CRM, Order Management, Billing, Mediation, Provisioning, Collections, Channels, Customer Care, Lead to Cash Digital Transformation - Proven experience in Strategy, Innovation and Digital initiatives across Digital Maturity models, CSPs Operating model, Innovation Barometers, Intelligent operations for CSPs and other related areas Cloud B SS - Determine the appropriate Cloud deployment model & design BSS journey to cloud strategies engineered to accelerate ROI and performance . Good to have knowledge of platforms like AWS, Azure, SFDC, GCP, ServiceNow Business Strategy - Leading/managing strategic initiatives and develop project plans, frame and conduct insightful analyses, identify solutions, and develop business cases and implementation plans for CSPs across the globe Transformation & Project Governance - Drive profitability and continued success though managing service quality, cost and leadership of the people delivering services across projects/ programs/portfolios of all scale Should have understanding of lean concepts and hands-on experience in delivering technology-driven business transformation projects using agile practices Experience in agile related tools like JIRA Confluence/Rally/MS Projects/VersionOne Certification profession in PSM/CSM/ SAF e /ICP-ACC Skills in one or more roles Experience in the role of Functional Business Analyst, Product Owners, Process Designers, Service Designers, Scrum Masters , Program Delivery Managers Business Analysis - Gather requirements from business and prepared requirement documents. Propose solutions to the client based on gap analysis for the existing Telco platform s . Analyse large data to conduct analysis and present insights with visualisations Process Improvement - Understand issues with the current processes which can be resolved either through technology or process solutions and design detail level to-be process with all stakeholders Value Architect and Tracking - Create value driver trees to breakdown into value components of business objectives and value drivers Other required skills Communication and Presentation - Plan and deliver well-structured oral and written communications Structured Problem Solving - Help identify and structure key client challenges into hypotheses and conduct analyses to address the challenges Stakeholder Management - Manage mid-level to client leadership and lead conversations Impeccable team management skills with an ability to engage effectively with multiple stakeholders Strong program management skills Cross-cultural competence with an ability to thrive in a dynamic environment Qualifications Your experience counts! MBA from a Tier 1 and Tier 2 school and Engineering from Tier 1 school or rich relevant industry experience At least 1- 8 years of progressive business and/or telecom and consulting experience Knowledge of Telco BSS/OSS stack, its various components, and interactions / flows Strong telecom industry background experience and knowledge of BSS processes for B2C and B2B areas Knowledge of telecom products across wireline, wireless and Enterprise domains eTOM certification is highly desirable Direct onsite experience ( i.e., experience of facing client inside client offices in India or abroad) is mandatory. Please note we are looking for client facing soft skills Experience in strategy and business/technology consulting role conversant with process improvement, cost optimization, customer analytics and experience management, telecom technology Experience in value architecting, business case preparation, value realization Experience in Digital, New IT, Cloud & Core modernization, Cloud transformation processes, transforming legacy to the cloud, Agile transformation, RPA, AI/ML strategy implementation and use cases Knowledge of design thinking workshops and innovation Experience in large data analysis, data driven consulting, BI and analytics, reporting, dashboarding, visualization tools like PowerBI , Tableau Certifications like CBAP, CSM, SPC, Prince 2 or PMP will be an added advantage For Experienced candidates, experience of team Management Coach and mentor team members in projects, on asset development, BDs and overall professional development Good to Have:A valid H1B VISA Whats in it for you? An opportunity to work on with key G2000 clients Potential to with leaders in strategy, industry experts, enterprise function practitioners and, business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies. Ability to embed into everythingfrom how you service your clients to how you operate as a responsible professional. Personalized training modules to develop your to grow your skills, industry knowledge and capabilities Opportunity to thrive in a that is committed to accelerate equality for all. Engage in boundaryless collaboration across the entire organization. About Accenture: Accenture is a leading global professional services company, providing a broad range of services and solutions in strategy, consulting, digital, technology and operations. Combining unmatched experience and specialized skills across more than 40 industries and all business functions underpinned by the worlds largest delivery network Accenture works at the intersection of business and technology to help clients improve their performance and create sustainable value for their stakeholders. With 569,000 people serving clients in more than 120 countries, Accenture drives innovation to improve the way the world works and lives. Visit us at About Accenture Strategy & Consulting: Accenture Strategy shapes our clients future, combining deep business insight with the understanding of how technology will impact industry and business models. Our focus on issues such as digital disruption, redefining competitiveness, operating and business models as well as the workforce of the future helps our clients find future value and growth in a digital world. Today, digital is changing the way organizations engage with their employees, business partners, customers, and communities. This is our unique differentiator. To bring this global perspective to our clients, Accenture Strategy's services include those provided by our S&C Global Network (GN) a distributed management consulting organization that provides management consulting and strategy expertise across the client lifecycle. Our S&C Global Network (GN) teams complement our in-country teams to deliver cutting-edge expertise and measurable value to clients all around the world.?For more information visit At the heart of every great change is a great human. If you have ideas, ingenuity and a passion for making a difference, .

"Experience Data science, Gen AI, Machine Learning, NLP (Hugging Face, Transformers, LLMs like BERT/GPT), building custom chatbots, NLU/NLG. Strong programming in Python, SQL expertise, and excellent analytical skills."

*Perform exploratory data analysis to identify patterns, trends, and insights. *Build and validate predictive models and machine learning algorithms. *Stay current on developments in data science and machine learning. Key skills : Azure ,Hadoop&SQL.

Job Opportunity Senior Full-Stack Developer Primary Skills NodeJS 6+ years of hands-on backend development JavaScript / HTML / CSS . Strong frontend development capabilities ReactJS / VueJS Working knowledge or project experience preferred AWS Serverless Architecture Mandatory (Lambda, API Gateway, S3) LLM Integration / AI Development Experience with OpenAI, Anthropic APIs Prompt Engineering Context management and token optimization SQL / NoSQL Databases Solid experience with relational & non-relational DBs End To End Deployment Deploy, debug, and manage full-stack apps CleanCode Writes clean, maintainable, production-ready code Secondary Skills Amazon Bedrock Familiarity is a strong plus WebServers Experience with Nginx / Apache configuration RAGPatterns / VectorDBs / AI Agents Bonus experience Software Engineering Best Practices Strong design & architecture skills CI/CD / DevOps Exposure Beneficial for full pipeline integration Expectations Own frontend and backend development Collaborate closely with engineering and client teams Build scalable, secure, and intelligent systems Influence architecture and tech stack decisions Stay up-to-date with AI trends and serverless best practices.

Role: AI/ML Engineer Has 4+ years of work experience , with at least 2+ years directly working on Generative AI and Agentic systems Knows how to use Large Language Models (LLMs) like GPT for real applications (not just research or theory) Has worked on multi-agent systems or autonomous AI agents using tools like CrewAI, AutoGen, or similar frameworks Can write smart prompts ( prompt engineering ), build apps with LLMs, and knows how to do RAG (Retrieval-Augmented Generation) Has done fine-tuning of models and built custom AI workflows Codes well in Python Has used ML frameworks like TensorFlow or PyTorch Familiar with tools like LangChain , and cloud/data platforms like AWS or Databricks Location: Bangalore/ Mumbai Shift Timing: 12:00 PM 9:00 PM Notice Period: 30 days or less Call Anumeha @ +91 6376649769/ Alfiya @ +91 8787064649

Candidates should possess an experience between 3 to 5 years in data engineering. Strong knowledge in UNIX, SQL, SPARK,Python. Good to have skills are - PySpark and AWS. Good communication and should know the Agile practices.

Role & responsibilities Manage a team of data scientists machine learning engineers and big data specialists Lead data mining and collection procedures Ensure data quality and integrity Interpret and analyze data problems Conceive plan and prioritize data projects Build analytic systems and predictive models Test performance of datadriven products Visualize data and create reports Experiment with new models and techniques Align data projects with organizational goals

JOB DESCRIPTION Title: Software Engineer - Data Science Full time Chennai Data Scientist Role Type: Location: Reports to: Summary of the profile: We are seeking a highly motivated and innovative Data Scientist with 3-5 years of experience to join our team, with a focus on leveraging Generative AI and Large Language Models (LLMs). The ideal candidate will be passionate about exploring the potential of these cutting-edge technologies to solve complex problems and create impactful solutions. You will collaborate with cross-functional teams to research, develop, and deploy generative AI models and LLM-powered applications. What youll do here: Explore and experiment with various generative AI models (e.g., GANs, VAEs, diffusion models) and LLMs (e.g., GPT, BERT, Llama). Fine-tune pre-trained LLMs for specific tasks and domains. Develop and implement generative models for tasks like data augmentation, content generation, and synthetic data creation. ¢ ¢ ¢ Prompt engineering, and prompt iteration. Collect, clean, and preprocess large text datasets for LLM training and evaluation. Perform natural language processing (NLP) tasks such as text classification, sentiment analysis, and entity recognition. ¢ ¢ Use LLMs to assist in data cleaning and data understanding. Develop and evaluate machine learning models, including those leveraging generative AI and LLMs. ¢ Evaluate model performance using relevant metrics and techniques, including those specific to LLMs (e.g., perplexity, BLEU score). ¢ ¢ Tune hyperparameters to optimize model performance. Create compelling visualizations and reports to communicate insights from generative AI and LLM experiments. ¢ ¢ Present findings to both technical and non-technical audiences. Collaborate with engineers, product managers, and researchers to define project requirements and deliver solutions. ¢ ¢ Communicate effectively with team members and stakeholders, both verbally and in writing. Stay up-to-date with the latest advancements in generative AI and LLMs. Copyright © RESULTICKS Solution Inc 1 ¢ ¢ Assist in deploying generative AI models and LLM-powered applications to production environments. Monitor model performance and retrain models as needed. What you will need to thrive: ¢ ¢ 3-5 years of professional experience in data science, with a growing interest in Generative AI and LLMs. Proficiency in Python and relevant libraries (e.g., NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, Hugging Face Transformers). ¢ ¢ ¢ ¢ ¢ ¢ Experience with NLP techniques and libraries. Understanding of machine learning algorithms and statistical concepts. Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau, Power BI). Excellent problem-solving and analytical skills. Strong communication and collaboration skills. Experience with Prompt engineering, version control systems like Git and cloud platforms like GCP, AWS or Azure is a plus Preferred Skills: ¢ ¢ ¢ ¢ ¢ ¢ Experience with fine-tuning LLMs for specific tasks. Experience with deploying LLMs in production environments. Knowledge of deep learning architectures relevant to generative AI and LLMs. Familiarity with vector databases. Experience with RAG (Retrieval Augmented Generation) architectures. Experience with the Langchain Library. Education: ¢ Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field. Core competencies: ¢ Communication, Analytical & Problem-Solving Skills Copyright © RESULTICKS Solution Inc 2 About RESULTICKS RESULTICKS is a fully integrated connected experience platform for Real Time Audience Engagement. RESULTICKS empowers brands to create data-driven communications to their audiences and drives business decisions through its award-winning, AI-powered big data cloud solution. Supported by the worlds first customer data blockchain, RESULTICKS unlocks incredible digital transformation possibilities by delivering the full 360 view of the customer through data consolidation and omnichannel orchestration. Built from the ground up by experts in marketing, technology, and business management, RESULTICKS enables brands to make a transformational leap to conversion- driven, growth-focused personalized engagement. With an advanced CDP at its core. RESULTICKS offers AI-powered omnichannel orchestration, complete analytics, next-best engagement, attribution at the segment-of-one level, and the worlds first marketing block chain. ¢ RESULTICKS has been named to the Gartners Magic Quadrant 2021 for Multichannel Marketing Hubs for five years in a row and has been awarded with the Microsoft Elevating Customer Experience with AI award. ¢ Headquartered in Singapore and New York City, RESULTICKS is one of the top global martech solutions servicing both B2B/B2B2C and B2C segments. RESULTICKS global presence includes the United States, India, Singapore, Indonesia, Malaysia, Vietnam, Thailand, and the Philippines. Watch video on RESULTICKS - https://www.youtube.com/watch?v=G_OwGy6unP8 Copyright © RESULTICKS Solution Inc 3

Position - AI Engineer As an AI Engineer, you will design, implement, and optimize machine learning models and AI systems to solve complex problems. You will work closely with cross-functional teams to integrate AI solutions into our products and services, ensuring scalability and efficiency. Key Responsibilities: Application Development: Design and develop AI-powered applications using state-of-the-art LLM models and generative AI techniques. Implement scalable solutions that integrate LLM-powered tools into existing workflows or standalone products. Model Optimization: Fine-tune pre-trained LLM models to meet specific application requirements. Optimize model performance for real-time and high-throughput environments. LLMOps Implementation: Develop and maintain pipelines for model deployment, monitoring, and retraining. Set up robust systems for model performance monitoring and diagnostics. Ensure reliable operations through analytics and insights into model behavior. Vector Databases and Data Management: Utilize vector databases for efficient storage and retrieval of embeddings. Integrate databases with LLM applications to enhance query and recommendation systems. Collaboration and Innovation: Work closely with cross-functional teams, including product managers, data scientists, and software engineers. Stay up-to-date with advancements in generative AI and LLM technologies to drive innovation. Skills and Experience 3+ years of experience in AI/ML development, with a focus on generative AI and LLMs. Proficiency in programming languages such as Python and frameworks like PyTorch or TensorFlow. Hands-on experience in fine-tuning and deploying LLM models (e.g., GPT, BERT, etc.). Familiarity with LLMOps practices, including pipeline automation, monitoring, and analytics. Experience with vector databases (e.g., Pinecone, Weaviate, or similar). Strong knowledge of natural language processing (NLP) and machine learning principles. You should certainly apply if: Understanding of MLOps principles and cloud platforms (AWS, GCP, Azure). Familiarity with prompt engineering and reinforcement learning from human feedback (RLHF). Experience in building real-time applications powered by generative AI. Knowledge of distributed systems and scalable architectures.

Role: AI Video Creator Intern for Gen AI Content Tenure- 3 months (PPO basis performance and company needs) What were looking for:-Experience in film production, animation, and content creation.-Familiarity with AI tools for content creation.If you meet these requirements and are excited to be part of a dynamic team, send us your resume at hidden_email Lets create something incredible together!,

Develop and deploy AI-based applications leveraging LLMs and Generative AI models like GPT, Gemini, or similar frameworks Build scalable backend systems using Python, ensuring seamless integration with UI/UX components Design and optimize generative AI models to address diverse business challenges Fine-tune pre-trained LLMs to align with specific use cases Work closely with cross-functional teams, including data scientists, UI/UX developers, and product managers, to deliver robust solutions Collaborate with clients to gather requirements and develop customized AI capabilities Deploy solutions on cloud platforms (Azure, AWS, or GCP) and ensure system scalability and performance

Dear Candidate, I'm actively hiring for Project Manager/ Business analyst role for EY India- Bengaluru/ Pune/ Hyderabad Location. ONLY Immediate joiners or 30days Notice period will be considered. Required Skills & Qualifications: Experience in designing and developing AI, Gen AI and Machine Learning Capabilities for solving business problems. Experience of working as a Business Analyst, Project Manager who understands project delivery lifecycles like Agile etc. Experience in Banking Preferrable If you are interested in this opportunity, kindly share your Updated resume with me at Krithika.L@in.ey.com with the below details: Name: Skill: Notice Period (if serving mention LWD) : Contact Number: Email: Current Location: Preferred Location: Total Exp: Relevant Exp: Current Company: Education (Mention Year of completion): Current CTC (LPA): Expected CTC (LPA) : Offer In Hand (Mention Date of joining): Regards, Krithika Talent team, EY India

Must have Gen Ai + Deployment+ Machine learning As an AI lead specializing in Generative AI, and Machine Learning Engineering (MLE), you will be at the forefront of AI innovation. Your role will involve designing, deploying, and operationalizing sophisticated modelsincluding large language models (LLMs)—to solve complex business problems. You will work closely with cross-functional teams to create scalable, production-ready AI solutions that drive intelligent automation and creativity across industries. Your Key Responsibilities: Generative AI, NLP & MLE: Design, develop, deploy, and scale advanced applications using Generative AI models (e.g., GPT, LLaMA, Mistral), NLP techniques, and MLE/MLOps best practices to solve business challenges and unlock new opportunities. Model Customization & Fine-Tuning: Apply techniques such as LoRA, PEFT, and fine-tuning of LLMs to build domain-specific models aligned with business use cases, with a focus on making them deployable in real-world environments. ML Engineering & Deployment: Implement end-to-end ML pipelines—including data preprocessing, model training, versioning, testing, and deployment—using tools like MLflow, Docker, Kubernetes, and CI/CD practices. Innovative Problem Solving: Leverage cutting-edge AI and ML methodologies to solve practical business problems and deliver measurable results. Scalable AI Solutions: Ensure robust deployment, monitoring, and retraining of models in production environments, working closely with data engineering and platform teams. Data-Driven Insights: Conduct deep analysis of structured and unstructured data to uncover trends, guide decisions, and optimize AI models. Cross-Functional Collaboration: Partner with Consulting, Engineering, and Platform teams to integrate AI/ML solutions into broader architectures and business strategies. Client Engagement: Work directly with clients to understand requirements, present tailored AI solutions, and provide advisory on the adoption and operationalization of Generative AI and ML.

Hiring for No-1 IT MNC for HRO Transformation for Mumbai Salary Up-to -65LPA Min -15 + Yrs Of exp in HRO Outsourcing Industry with at least 8+yrs in managing large HR Transformation & HR technology platforms Exp. Call@WhatsApp- Kajal - 8595849767

Role & responsibilities Generative AI, NLP & MLE: Design, develop, deploy, and scale advanced applications using Generative AI models (e.g., GPT, LLaMA, Mistral), NLP techniques, and MLE/MLOps best practices to solve business challenges and unlock new opportunities. Model Customization & Fine-Tuning: Apply techniques such as LoRA, PEFT, and fine-tuning of LLMs to build domain-specific models aligned with business use cases, with a focus on making them deployable in real-world environments. ML Engineering & Deployment: Implement end-to-end ML pipelinesincluding data preprocessing, model training, versioning, testing, and deploymentusing tools like MLflow, Docker, Kubernetes, and CI/CD practices. Innovative Problem Solving: Leverage cutting-edge AI and ML methodologies to solve practical business problems and deliver measurable results. Scalable AI Solutions: Ensure robust deployment, monitoring, and retraining of models in production environments, working closely with data engineering and platform teams. Data-Driven Insights: Conduct deep analysis of structured and unstructured data to uncover trends, guide decisions, and optimize AI models. Cross-Functional Collaboration: Partner with Consulting, Engineering, and Platform teams to integrate AI/ML solutions into broader architectures and business strategies. Client Engagement: Work directly with clients to understand requirements, present tailored AI solutions, andprovide advice on the adoption and operationalization of Generative AI and ML. Preferred candidate profile Overall 5-9 years of experience with real-time experience in GenAI and MLE/MLOps. Expertise in Generative AI: Hands-on experience in designing and deploying LLM-based solutions with frameworks such as HuggingFace, LangChain, Transformers, etc. MLE & Production Readiness: Proven experience in building ML models that are scalable, reliable, and production-ready, including exposure to MLE/MLOps workflows and tools. Deployment Tools & Best Practices : Familiarity with containerization (Docker), orchestration (Kubernetes), model tracking (MLflow), and cloud platforms (AWS/GCP/Azure) for deploying AI solutions at scale. Proficiency in development using Python frameworks (such as Django/Flask) or other similar technologies. In-depth understanding of APIs, microservices architecture, and cloud-based deployment strategies. Innovation & Curiosity: A passion for staying updated with the latest in Gen AI, LLMs, and ML engineering practices. Communication : Ability to translate complex technical concepts into business-friendly insights and recommendations

We are Hiring!!! Are you ready to elevate your career? Kaygen is seeking passionate individuals to join our team. If you are driven, innovative, and enthusiastic about making a difference, we welcome you to be part of our journey! Role: AI/ML SME Experience- 10+ years Work Location- UAE If you're interested Please share your resume on+91-7899312849 or sowmya.n@kaygen.com Position Overview: Job Description:: Responsible for providing expert knowledge and guidance on the development and implementation of AI/ML solutions within the organization. You will be expected to stay up-to-date with the latest developments and trends in the field and be able to apply this knowledge to real-world business problems. Acts as a technical advisor and thought leader on AI/ML projects, providing guidance on the design and development of AI/ML models. Collaborate with cross-functional teams to understand business problems and develop AI/ML solutions to address them. Research and evaluate new AI/ML technologies and techniques, and recommend their adoption as appropriate. Mentor and train junior team members on AI/ML best practices and technologies. Lead the development and testing of AI/ML models, and ensure their performance meets the required standards. Requires strong background in AI/ML and a deep understanding of machine learning algorithms and techniques, proven experience in the development and implementation of AI/ML solutions, and experience with programming languages such as Python, R, or Java. Must have specific experience working on high-security projects in Government, DoD (Department of Defense), Defense, Military, or other sensitive government sectors.

Job Description : Data Engineer at Mirabel Technologies should be an avid programmer of Java, Python, R or Scala with expertise in implementing complex algorithms. Data Engineer will work on collecting, storing, processing, and analyzing huge sets of data. The primary focus will be on choosing optimal solutions to use for these purposes, then maintaining, implementing, and monitoring them. You will also be responsible for integrating them with the architecture used across the company in various products. Skillset : 1. Proficient understanding of distributed computing principles 2. Ability to build, run and manage large clusters 3. Hadoop v2, MapReduce, HDFS 4. Java, Python 5. Large Scale crawling: Scrapy, Nutch and custom crawling solutions 6. Experience with Apache Solr Lucene 7. NoSQL databases, such as MongoDB, HBase, Cassandra 8. Knowledge of various ETL techniques and frameworks, such as Flume 9. Experience with NLP tools and systems for POS, NER, and Information extraction 10. Experience with Machine Learning - Regression, Classification, Decision Trees. 11. Experience with Linux / AWS. Experience : 4-5 years Key skills: NLP, LLM, AWS Sagemaker, Deep Learning, and No Sql Database.

About the role PubMatic is looking for engineers with expertise in Generative AI and AI agent development. You will be responsible for building and optimizing advanced AI agents that leverage the latest technologies in Retrieval-Augmented Generation (RAG), vector databases, and large language models (LLMs). You will work on developing state-of-the-art solutions that enhance Generative AI capabilities and enable our platform to handle complex information retrieval, contextual generation, and adaptive interactions. What You'll Do Be the decision maker for using right set of tools & technology to solve specific problems. Guide & Mentor different team members for using generative AI tools and help the teams build various agents. Provide technical leadership and mentorship to engineering teams while collaborating with architects, product managers, and UX designers to create innovative AI solutions that address complex customer challenges. Lead the design, development, and deployment of AI-driven features. Drive end-to-end ownershipfrom feasibility analysis and design specifications to execution and releasewhile ensuring quick iterations based on customer feedback in a fast-paced Agile environment. Spearhead technical design meetings and produce detailed design documents that outline scalable, secure, and robust AI architectures. Ensure that the solutions are aligned with long-term product strategy and technical roadmaps. Implement and optimize LLMs for specific use cases, including fine-tuning models, deploying pre-trained models, and evaluating their performance. Develop AI agents powered by RAG systems, integrating external knowledge sources to improve the accuracy and relevance of generated content. Design, implement, and optimize vector databases (e.g., FAISS, Pinecone, Weaviate) for efficient and scalable vector search, and work on various vector indexing algorithms. Create sophisticated prompts and fine-tune them to improve the performance of LLMs in generating precise and contextually relevant responses. Utilize evaluation frameworks and metrics (e.g., Evals) to assess and improve the performance of generative models and AI systems. Work with data scientists, engineers, and product teams to integrate AI-driven capabilities into customer-facing products and internal tools. Stay up to date with the latest research and trends in LLMs, RAG, and generative AI technologies to drive innovation in the company’s offerings. Continuously monitor and optimize models to improve their performance, scalability, and cost efficiency. We'd Love for You to Have Must Have Strong understanding of large language models (GPT, BERT, T5, etc.) and their underlying principles, including transformer architecture and attention mechanisms. Proven experience building AI agents with Retrieval-Augmented Generation to enhance model performance using external data sources (documents, databases). In-depth knowledge of vector databases, vector indexing algorithms, and experience with technologies like FAISS, Pinecone, Weaviate, or Milvus. Ability to craft complex prompts to guide the output of LLMs for specific use cases, enhancing model understanding and contextuality. Familiarity with Evals and other performance evaluation tools for measuring model quality, relevance, and efficiency. Proficiency in Python and experience with machine learning libraries such as TensorFlow, PyTorch, and Hugging Face Transformers. Experience with data preprocessing, vectorization, and handling large-scale datasets. Ability to present complex technical ideas and results to both technical and non-technical stakeholders. Curiosity to learn new things and be up to date with market trends in Gen AI technology. Nice-to-Have Experience in building AI agents using graph-based architectures, including knowledge graph embeddings and graph neural networks (GNNs). Experience with training small base models using custom data, including data collection, pre-processing, and fine-tuning models to specific domains or tasks. Familiarity with deploying AI models on cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes). Publication or contributions to research in AI, LLMs, or related fields. Proven record of building enterprise scale generative AI application with specific emphasis on accuracy & cost. Qualifications Should have a bachelor’s degree in engineering (CS / IT) or equivalent degree from a well-known Institutes / Universities.

We are looking for a dynamic Frontend Engineer who is passionate about building sleek and intuitive interfaces for our cutting-edge AI platform on Azure. In this hybrid role, you will focus primarily on frontend development while also supporting the backend agentic functionalities when required. Your expertise will ensure seamless integration between user interfaces and underlying agent orchestration modules. SCOPE OF WORK UI/UX Development: Design, develop, and optimize responsive and engaging web interfaces. Translate design mock-ups and wireframes into robust frontend code using modern frameworks. Integration & Collaboration: Work closely with backend engineers to integrate agentic features into the user-facing components. Assist in debugging and troubleshooting issues related to agent-based integrations and interactions. Agentic Systems Support: Collaborate with the backend team on integrating functionalities built with Python, LangChain, and Databricks. Contribute ideas to enhance the orchestration between frontend controls and backend agentic workflows. Performance and Optimization: Ensure that web applications are optimized for speed, performance, and scalability. Utilize best practices for cross-browser compatibility and responsive design. Agile Team Participation: Actively participate in sprint planning, daily stand-ups, and retrospective sessions. Work effectively with offshore teams to meet project milestones and deliverables IDEAL CANDIDATE PROFILE Significant experience in development or bachelors degree in computer science, Data Science, or a related field. 3+ years of professional experience in frontend development. Strong proficiency in HTML, CSS, and JavaScript/TypeScript. Experience with modern frontend frameworks such as React, Angular, or Vue.js. Familiarity with responsive design principles and mobile-first development. Basic understanding of backend integration, with willingness to work on agentic systems support tasks. Prior experience interfacing with RESTful APIs and handling asynchronous data. Knowledge of version control systems, preferably Git. Excellent communication skills and proven ability to thrive in a remote/offshore team setup. A passion for emerging AI technologies and an eagerness to contribute to agent-based project enhancements.

Job description As a Data Science Solution Architect at Tredence, you will lead the design and development of data science solutions that leverage advanced analytics, machine learning, and artificial intelligence to address complex business challenges. You will work closely with cross-functional teams to understand business requirements and translate them into scalable and efficient data solutions. Your role will encompass various responsibilities, including but not limited to the following: Key Responsibilities: 1. Solution Design: Architect end-to-end data science solutions, including data ingestion, processing, modeling, and deployment, to address specific business problems. 2. Technical Leadership: Provide technical leadership and guidance to data scientists and engineers, ensuring alignment with best practices and industry standards. 3. Data Strategy: Collaborate with stakeholders to define data strategies, including data acquisition, data transformation, and data governance. 4. Model Development: Lead the development of machine learning, Generative AI and statistical models to extract insights and predictions from data. 5. Scalability: Design solutions that can scale to handle large volumes of data and evolving business needs. 6. Cloud Platforms: Work with cloud platforms such as AWS, Azure, or GCP to design and implement data solutions. 7. Data Integration: Integrate data from various sources, both structured and unstructured, to create comprehensive datasets for analysis. 8. Security and Compliance: Ensure data security and compliance with data privacy regulations throughout the data science process. 9. Documentation: Maintain detailed documentation of architecture, data flows, and best practices. 10. Continuous Learning: Stay up-to-date with the latest advancements in data science, machine learning, and AI technologies. Qualifications: 1. Bachelor's or masters degree or Ph.D. in computer science, data science, or a related field. 2. Proven experience as a Data Science Solution Architect or a similar role. 3. Strong knowledge of data science, machine learning, and artificial intelligence concepts. 4. Proficiency in programming languages such as Python, R, or Java. 5. Experience with data visualization tools, libraries, and frameworks. 6. Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud platforms. 7. Excellent problem-solving and communication skills. 8. Ability to work collaboratively in cross-functional teams. 9. Relevant certifications (e.g., AWS Certified Solutions Architect, Microsoft Certified: Azure Solutions Architect) a plus.

Dear Candidate, Greetings from IDEXCEL Technologies!! Please find the employment opportunity with I dexcel, Designation: GenAI Engineer Company Name: IDEXCEL technologies, Full Time. Experience: 5+ Years Notice Period: immediate to 20 Days Work Mode: Work From Office( 5 Days in a week) Interview Mode: Only one Round (F2F) Work Locations: Bengaluru, Hyderabad (Yellareddy Guda) Please go through the attachment for job description. Generative AI Engineer Idexcel is seeking a Senior Engineer to join our Enterprise GenAI Engineering Organization and be a key part of the Enterprise GenAI tech team. As a GenAI engineer, you will lead the development cutting-edge generative artificial intelligence solutions using large language models, agentic frameworks, retrieval augmented generation and other innovative technologies. The ideal candidate will have experience in designing, developing, and deploying applications leveraging LLM models and systems, with a strong focus on prompt engineering, RAG implementations, evaluations and agentic frameworks. In this role, you will: Design, develop, deploy GenAI applications using LM's, agent framework and related technologies Collaborate with and/or embed with line of business team teams to create reusable components and frameworks to accelerate the delivery of GenAI solutions Develop and maintain large-scale applications using Java, Python and other relevant technologies (e.g., cloud technologies, containerization, etc) Develop reference services that can be leveraged enterprise-wide such as document parsing, synthetic data generation, summarization and deep research Stay up to date with the latest advancements in GenAI, LLM, agentic frameworks and drive innovation to improve existing systems and develop new ones Troubleshoot and resolve complex technical issues related to applicationsand models Develop GenAI observability solutions to ensure systems are monitored to increase operational efficiency and managed to mitigate risk Resolve coding, testing and escalated platform issues of a technically challenging nature Collaborate with the team to ensure compliance and risk management requirements for supported area are met and work with other stakeholders to implement key risk initiatives Collaborate and influence all levels of professionals including managers Required Qualifications: 5+ years of Specialty Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education 5+ years of experience in software development 5+ years of Python, JavaScript or Java and other relevant technologies 1+ years of Experience with SDLC and Agile tools such as JIRA, GitHub, Jenkins, Confluence etc. Desired Qualifications: 1+ year of GenAI and ML concepts, including Evaluations, Fine Tuning and Prompt engineering Knowledge agentic design patterns Prompt Engineering concepts such as Zero-Shot, Few-shot, self-consistency and chain of thought prompting Note : We are looking for Immediate Joiners and if interested please share your updated Cv following mail ID : blikhith@idexcel.com