1443 Generative Ai Jobs - Page 23

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 Lead Consultant-Data Scientists with AI and Generative Model experience! We are currently looking for a talented and experienced Data Scientist with a strong background in AI, specifically in building generative AI models using large language models, to join our team. This individual will play a crucial role in developing and implementing data-driven solutions, AI-powered applications, and generative models that will help us stay ahead of the competition and achieve our ambitious goals. Responsibilities . Collaborate with cross-functional teams to identify , analyze , and interpret complex datasets to develop actionable insights and drive data-driven decision-making. . Design, develop, and implement advanced statistical models, machine learning algorithms, AI applications, and generative models using large language models such as GPT-3, BERT and also frameworks like RAG, Knowledge Graphs etc. . Communicate findings and insights to both technical and non-technical stakeholders through clear and concise presentations, reports, and visualizations. . Continuously monitor and assess the performance of AI models, generative models, and data-driven solutions, refining and optimizing them as needed. . Stay up-to-date with the latest industry trends, tools, and technologies in data science, AI, and generative models, and apply this knowledge to improve existing solutions and develop new ones. . Mentor and guide junior team members, helping to develop their skills and contribute to their professional growth. Qualifications we seek in you: Minimum Qualifications . Bachelor%27s or Master%27s degree in Data Science , Computer Science, Statistics, or a related field. . Experience in data science, machine learning, AI applications, and generative AI modelling. . Strong expertise in Python, R, or other programming languages commonly used in data science and AI, with experience in implementing large language models and generative AI frameworks. . Proficient in statistical modelling, machine learning techniques, AI algorithms, and generative model development using large language models such as GPT-3, BERT, or similar frameworks like RAG, Knowledge Graphs etc. . Experience working with large datasets and using various data storage and processing technologies such as SQL, NoSQL, Hadoop, and Spark. . Strong analytical, problem-solving, and critical thinking skills, with the ability to draw insights from complex data and develop actionable recommendations. . Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and explain complex concepts to non-technical stakeholders. Preferred Qualifications/ skills . Experience in deploying AI models, generative models, and applications in a production environment using cloud platforms such as AWS, Azure, or GCP. . Knowledge of industry-specific data sources, challenges, and opportunities relevant to Insurance . Demonstrated experience in leading data science projects from inception to completion, including project management and team collaboration skills. 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.

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 AI Gigafactory, 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 agentic AI, 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 genpact.com and on LinkedIn, X, YouTube, and Facebook. Inviting applications for the role of Assistant Vice President (AVP), Google Cloud Platform Pre-Sales Solution Architect - Data & AI About Genpact: Genpact (NYSE: G) is a global professional services firm delivering outcomes that transform businesses. With a proud 25-year history and over 125,000 diverse professionals in 30+ countries, we are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for our clients. We serve leading global enterprises, including the Fortune Global 500, leveraging our deep industry expertise, digital innovation, and cutting-edge capabilities in data, technology, and AI. Join our team to shape the future of business through intelligent operations and drive meaningful impact. The Opportunity: Genpact is seeking a highly accomplished and visionary Assistant Vice President (AVP), Google Cloud Platform Pre-Sales Solution Architect, specializing in Data and Artificial Intelligence. This pivotal role will be instrumental in driving Genpact%27s growth in the GCP ecosystem by leading complex pre-sales engagements, designing transformative data and AI solutions, and fostering executive-level client relationships. You will operate at the intersection of business strategy and cutting-edge technology, translating intricate client challenges into compelling, implementable solutions on Google Cloud. Responsibilities: . Executive Solutioning & Strategy: Lead the end-to-end technical pre-sales cycle for Genpact%27s most strategic data and AI opportunities on GCP. Engage at the CXO level and with senior business and IT stakeholders to deeply understand their strategic objectives, pain points, and competitive landscape. . Architectural Leadership: Design and articulate highly scalable, secure, and resilient enterprise-grade data and AI architectures on Google Cloud Platform. This includes expertise in BigQuery, Dataflow, Dataproc, Vertex AI (MLOps, Generative AI), Cloud AI services, Looker, Pub/Sub, Cloud Storage, Data Catalog, and other relevant GCP services. . Value Proposition & Storytelling: Develop and deliver highly impactful presentations, workshops, and proof-of-concepts (POCs) that clearly demonstrate the business value and ROI of Genpact%27s data and AI solutions on GCP. Craft compelling narratives that resonate with both technical and non-technical audiences. . Deal Ownership & Closure: Work collaboratively with sales teams to own the technical solutioning and commercial structuring of deals from qualification to closure. Lead the estimation, negotiation, and transition of deals to the delivery organization, ensuring alignment and seamless execution. . Technical Deep Dive & Expertise: Provide deep technical expertise on Google Cloud%27s Data & AI portfolio, staying at the forefront of new service offerings, product roadmaps, and competitive differentiators. Act as the subject matter expert in client discussions and internal enablement. . Cross-Functional Collaboration: Partner effectively with Genpact%27s sales, delivery, product development, and industry vertical teams to ensure that proposed solutions are innovative, deliverable, and aligned with market demands and Genpact%27s capabilities. . Thought Leadership: Contribute to Genpact%27s market presence and intellectual property through whitepapers, conference presentations, industry events, and client advisory sessions. Position Genpact as a leader in data-driven transformation on GCP. . Team Mentorship & Enablement: Provide mentorship and technical guidance to junior pre-sales architects and delivery teams, fostering a culture of continuous learning and excellence in GCP Data & AI. Qualifications we seek in you! Minimum Qualifications . progressive experience in data, analytics, artificial intelligence, and cloud technologies, with a strong focus on technical pre-sales, solution architecture, or consulting leadership roles. . hands-on experience architecting, designing, and delivering complex data and AI solutions on Google Cloud Platform. . Deep and demonstrable expertise across the Google Cloud Data & AI stack: o Core Data Services: BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage, Cloud SQL, Cloud Spanner, Composer, Data Catalog, Dataplex. o AI/ML Services: Vertex AI (including MLOps, Workbench, Training, Prediction, Explainable AI), Generative AI offerings (e.g., Gemini, Imagen), Natural Language API, Vision AI, Speech-to-Text, Dialogflow, Recommendation AI. o BI & Visualization: Looker, Data Studio. . Proven track record of successfully leading and closing multi-million dollar deals involving complex data and AI solutions on cloud platforms. . Exceptional executive presence with the ability to engage, influence, and build trusted relationships with C-level executives and senior stakeholders. . Strong commercial acumen and experience in structuring complex deals, including pricing models, risk assessment, and contract negotiation. . Outstanding communication, presentation, and storytelling skills, with the ability to articulate complex technical concepts into clear, concise business benefits. . Demonstrated ability to lead cross-functional teams and drive consensus in dynamic and ambiguous environments. . Bachelor%27s degree in Computer Science, Engineering, or a related technical field. Master%27s degree or MBA preferred. . Google Cloud Professional Certifications are highly preferred (e.g., Professional Cloud Architect, Professional Data Engineer, Professional Machine Learning Engineer). . Ability to travel as required to client sites and internal meetings. 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.

Our Global Diabetes Capability Center in Pune is expanding to serve more people living with diabetes globally. Our state-of-the-art facility is dedicated to transforming diabetes management through innovative solutions and technologies that reduce the burden of living with diabetes. In this role as a Senior Machine Learning Engineer in the Digital Technology team, you will collaborate with data scientists and stakeholders to understand business requirements and translate them into machine learning solutions. This role offers a dynamic opportunity to join Medtronic's Diabetes business. Medtronic has announced its intention to separate the Diabetes division to promote future growth and innovation within the business and reallocate investments and resources across Medtronic, subject to applicable information and consultation requirements. While you will start your employment with Medtronic, upon establishment of SpinCo or the transition of the Diabetes business to another company, your employment may transfer to either SpinCo or the other company, at Medtronic's discretion and subject to any applicable information and consultation requirements in your jurisdiction. Responsibilities may include the following and other duties may be assigned: Design, develop, and implement machine learning models and algorithms to solve complex business problems. Use software design principles to develop production ready code. Collect, preprocess, and analyze large datasets to train and evaluate machine learning models. Optimize and fine-tune machine learning models for performance and accuracy. Deploy machine learning models into production environments and monitor their performance. Develop processes and tools to monitor and analyze model performance and data accuracy. Stay up to date with the latest advancements in machine learning and apply them to improve existing models and algorithms. Collaborate with cross-functional teams to integrate machine learning solutions into existing systems and workflows. Document and communicate machine learning solutions, methodologies, and results to technical and non-technical stakeholders. Mentor and provide guidance to junior Machine Learning Engineers. Required Knowledge and Experience: Bachelors degree from an accredited institution in a technical discipline such as the sciences, technology, engineering, or mathematics 5+ years of industry experience in writing production level, scalable code (e.g. in Python) 4+ years of experience with one or more of the following machine learning topics: classification, clustering, optimization, recommendation system, deep learning 4+ years of industry experience with distributed computing frameworks such as Pyspark 4+ years of industry experience with popular ml frameworks such as Spark MLlib, Keras, Tensorflow, PyTorch, HuggingFace Transformers and other libraries (like scikit-learn, spacy, genism etc.). 4+ years of industry experience with major cloud computing services like AWS or Azure or GCP 1+ years of experience in building and scaling Generative AI Applications, specifically around frameworks like Langchain, PGVector, Pinecone, Bedrock. Experience in building Agentic AI applications. 2+ years of technical leadership leading junior engineers in a product development setting.

We are seeking a Software Engineer with expertise in AI/ML and Full stack development to contribute to the development of core platform features. This role involves designing, developing, and optimizing high-performance AI-driven applications, building scalable microservices, and ensuring seamless integration across AI, backend, and frontend systems. You will play a key role in developing workflow automation modules, AI-powered search engines, and scalable enterprise solutions. Skills: P1 (must to have Skills) Generative AI Expertise/ AI Agents, Agentic Workflows/ RAG/ Prompt Engineering / Advanced Python Programming / LangChain / LangGraph / Vector Databases. P2 (need to have Skills ) FastAPI, NodeJS / Intuitive UI/UX Design: Either React or Typescript or Next.js. P3 (nice to have Skills) LlamaIndex / Integration of SLM/LLMs. Required Skills Generative AI Expertise : Advanced knowledge in AI Agents, Agentic Workflows, Retrieval-Augmented Generation (RAG), and Prompt Engineering. Advanced Python Programming : Proficiency in Python, particularly for AI-driven applications, with experience in frameworks like LangChain and LangGraph. Vector Databases : Strong skills in managing and utilizing vector databases for AI solutions. FastAPI & NodeJS : Experience in building backend services using FastAPI or NodeJS. UI/UX Design : Ability to design and implement intuitive user interfaces, with beginner to intermediate proficiency in React. LlamaIndex & SLM/LLM Integration : Familiarity with LlamaIndex and expertise in integrating System Language Models/Large Language Models into applications. Preferred Education and Experience: Bachelors/masters degree in computer science, AI, Machine Learning, or related field. At least 3 years in full-stack development with a focus on AI. Proven track record leading small engineering teams and delivering complex AI-driven products. Direct client-facing experience, from requirements gathering to final delivery.

Job Title: Gen AI Developer (Azure + ML) Location: Gurugram (Work from Office / Hybrid as applicable) Experience: 5+ Years Employment Type: Full-time Job Overview: We are looking for a Generative AI Developer with strong hands-on experience in Microsoft Azure and Machine Learning to join our team in Gurugram . The ideal candidate should be proficient in building and deploying GenAI-powered applications using Azure OpenAI , along with solid experience in traditional ML pipelines . Key Responsibilities: Design and develop scalable Gen AI solutions using Azure OpenAI , Cognitive Services, and Azure ML. Build and deploy ML models for tasks like classification, regression, and recommendation. Implement RAG (Retrieval-Augmented Generation) architectures using vector databases (e.g., ChromaDB, FAISS, Azure Search). Orchestrate LLM workflows using tools like LangChain , Transformers , or LlamaIndex . Develop APIs/microservices to expose GenAI and ML capabilities for downstream integration. Collaborate with cross-functional teams including data engineers and product managers to deploy solutions in production. Ensure scalability, cost-efficiency, and security of AI/ML workloads on Azure. Must-Have Skills: Strong experience with Azure OpenAI , Azure Cognitive Services , and Azure Machine Learning Studio . Proficiency in Python , Transformers , and ML frameworks (scikit-learn, PyTorch, or TensorFlow). Experience with LangChain , embedding models , and vector search technologies. Understanding of ML lifecycle: data processing, feature engineering, model training, evaluation, and deployment. Experience building RESTful APIs for model consumption. Familiarity with version control , DevOps practices , and containerization (Docker). Nice to Have: Knowledge of prompt engineering , fine-tuning LLMs , or custom training . Exposure to MLOps tools like MLflow or DVC. Experience with Power BI , Azure Synapse , or Databricks is a plus. Prior experience working in domains like finance, retail, or legal tech. Preferred Certifications: Microsoft Certified: Azure AI Engineer Associate (AI-102) Microsoft Certified: Azure Data Scientist Associate (DP-100)

Skills required: Independent problem solving on small/medium-scale projects Knowledge of advanced statistical methods and machine learning Able to work with large datasets in cloud environments Strong technical communicator who is comfortable troubleshooting very complex data problems in large data pipelines and communicating to a non-technical audience Strong SQL and Python skills Hands-on experience with Large Language Models (LLMs) implementation and Retrieval-Augmented Generation (RAG)-based AI agents Experience required: Extensive statistical training Experience in digital marketing or related field preferable Experience with UX analyses Experience with digital behaviour analytics Experience with AWS machine learning services Deep familiarity with employing different statistical performance measures and understanding the benefits/trade-offs of each Experience gathering requirements and presenting results to stakeholders Nice to have: Tableau skills Experience with Airflow, Google Auto ML, and AWS SageMaker Familiarity with Azure services

Responsibilities : - Design and Development : Architect, design, and develop user-friendly and scalable AI-powered applications using React.js for the frontend and Node.js for the backend. - Generative AI Implementation : Implement, integrate, and fine-tune Generative AI models (e.g., text generation, image synthesis) for specific application requirements. - API Development and Integration : Develop and consume RESTful and GraphQL APIs to facilitate communication between frontend applications and AI/ML models and backend services. - LLM and NLP Integration : Leverage Large Language Models (LLMs) and Natural Language Processing (NLP) techniques to enhance application features and user interactions. - Machine Learning Frameworks : Utilize and integrate various machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn) as needed for specific AI functionalities. - Performance Optimization : Optimize AI models and application code for performance, scalability, reliability, and cost-effectiveness. - Collaboration : Collaborate effectively with data scientists, machine learning engineers, backend developers, product managers, and designers throughout the development lifecycle. - Code Quality and Best Practices : Write clean, well-documented, and testable code, adhering to best practices and contributing to CI/CD pipelines for continuous integration and deployment. - Research and Innovation : Stay abreast of the latest advancements in Generative AI, Large Language Models, NLP, web development technologies, and industry trends. Proactively explore and propose new technologies and approaches to enhance our products. - Problem Solving : Troubleshoot and resolve technical issues related to AI model integration, application performance, and API interactions. - Documentation : Create and maintain comprehensive technical documentation for developed components and systems. Qualifications : - Education : Bachelor's or Master's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field. - Experience : [Specify the desired years of experience - e.g., 2-5 years] of professional experience in full-stack development with a focus on frontend (React.js) and backend (Node.js) technologies. - Frontend Expertise : Proven experience in developing responsive and dynamic user interfaces using React.js, including state management libraries (e.g., Redux, Zustand, Context API), component-based architecture, and modern JavaScript (ES6+). - Backend Expertise : Solid experience in developing robust and scalable backend applications using Node.js and frameworks like Express.js or NestJS. - API Development : Strong understanding and practical experience in designing and implementing RESTful and/or GraphQL APIs. - AI/ML Fundamentals : Familiarity with fundamental concepts of Artificial Intelligence and Machine Learning, including different types of models and their applications. - Generative AI Exposure : Experience with implementing or fine-tuning Generative AI models (e.g., using libraries or cloud-based services). - LLM and NLP Knowledge : Understanding of Large Language Models (LLMs) and Natural Language Processing (NLP) concepts and their practical applications. - Machine Learning Frameworks (Desirable) : Familiarity with one or more machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn. - Database Knowledge : Experience working with various database systems (e.g., PostgreSQL, MySQL, MongoDB). - DevOps Practices : Understanding of CI/CD pipelines and experience with relevant tools (e.g., Jenkins, GitLab CI/CD, GitHub Actions). - Testing : Experience with writing unit, integration, and end-to-end tests. - Problem-Solving Skills : Excellent analytical and problem-solving abilities. - Communication Skills : Strong written and verbal communication skills, with the ability to effectively communicate technical concepts to both technical and non-technical audiences. - Collaboration : Ability to work effectively in a collaborative team environment

Mode of work : Hybrid or Remote (Hyderabad or Pune candidates preferred for Hybrid working mode or any candidates from Pan India for remote is also fine) Job Description for AI Architect : Mandatory Skills : - SQL - Data science - AI/ML - GenAI - Data Engineering Optional Skills : Data Modelling Client : Genzeon Position : AI Architect Role & Responsibilities : - Strong Python programming expertise - Hands-on experience with AI-related Python tasks (e.g., data analysis, modeling) - Experience with analyzing discrete datasets - Proficiency in working with pre-trained AI models - Problem-solving ability in real-world AI use cases Python Proficiency : - Speed and accuracy in writing code - Understanding of syntax and debugging without external help - Ability to solve complex problems with minimal Google reliance. AI & Data Analysis Skills : - Hands-on expertise in data manipulation and analysis - Understanding of AI modeling and implementation Problem-Solving & Debugging : - Ability to analyze error logs and fix issues quickly - Logical approach to troubleshooting without relying on trivial searches Practical Application & Use Cases : - Ability to apply AI/ML techniques to real-world datasets - Experience with implementing pre-trained models effectively Interview Task : - Given a dataset , candidates must perform multivariate analysis. - Implement modeling using pre-trained models. - Debugging ability without excessive reliance on Google. - Live coding assessment with an open-book approach (Google allowed but should not rely on basic algorithm searches). Role-Specific Expertise : - If applying for AI Architect, the assessment will focus on AI-related tasks. - If applying for Data Engineer, tasks will be aligned with data engineering requirements

Open & Direct Walk-in Drive event | Hexaware technologies, Gen AI Specialist/Data Scientist AI/ML with GEN AI in Bangalore, Karnataka on 19th March [Saturday] 2025 NLP, Python, ML, GEN AI, Deep Learning, Chat GPT Dear Candidate, I hope this email finds you well. We are thrilled to announce an exciting opportunity for talented professionals like yourself to join our team as a Data Scientist AI/ML with GEN AI OR GEN AI Specialist We are hosting an Open Walk-in Drive in Bangalore, Karnataka on 19th March [Saturday] 2025 , and we believe your skills in GenAI Specialist/Data Scientist AI/ML with GEN AI align perfectly with what we are seeking. Details of the Walk-in Drive: Date: 19th March [Saturday] 2025Experience 5 year to 12 years Time: 9.30 AM to 4PM Point of Contact: Azhagu Kumaran Mohan/+91-9789518386 Venue: Hexaware Technologies Ltd, Shantiniketan, 11th Floor, Crescent - 2 Prestige, Whitefield Main Rd, Mahadevapura, Bengaluru, Karnataka 560048 Work Location: Open (Noida/Bangalore/ Pune/ Mumbai/ Dehradun/ Chennai/ Coimbatore) Key Skills and Experience: As a GenAI Specialist AI/ML with GEN AI, we are looking for candidates who possess expertise in the following: ML, ML OPS NLP, Deep Learning GEN AI, Open AI, Azure ML, Prompt Engineering, Agenting frameworks Vector databases, Lang Chain, Llama Index, Data pipelines, Data Analytics, PyTorch, Hugging Face Roles and Responsibilities: As a part of our dynamic team, you will be responsible for: 4 -12 relevant years of experience in Python, NLP, Machine Learning and Deep learning Minimum 1 year of working experience on Gen AI (ChatGPT, LLAMA 2, etc), Vector databases, Lang Chain, Llama Index, Data pipelines, Data Analytics, PyTorch, Hugging Face, MLOps Experience in LLMs fine tuning and deployment Nice to have: Familiarity with server-side templating languages including Jinja 2 and Mako REST API, Flask API, Fast API, Django or Pyramid framework Knowledge of NER and graphs What to Bring: Updated resume Photo ID, Passport size photo How to Register: To express your interest and confirm your participation, please reply to this email with your updated resume attached. Walk-ins are also welcome on the day of the event. This is an excellent opportunity to showcase your skills, network with industry professionals, and explore the exciting possibilities that await you at Hexaware Technologies. If you have any questions or require further information, please feel free to reach out to me at AzhaguK@hexaware.com - +91-9789518386 We look forward to meeting you and exploring the potential of having you as a valuable member of our team.

Role & responsibilities 1.Develop and execute a strategic roadmap for executing Applied AI engineering projects with a product engineering mindset . 2. Lead and inspire a high-performance core group of developers, architects & engineering managers. 3. Responsible for hiring, training, coaching, team building, assessing performance, providing feedback, mentoring, and helping the team succeed. Our enthusiastic Data Scientists are just getting started -- and as a manager, you guide the way and set up examples by coming up with the best solutions to complex engineering problems. 4. Collaborate with architects, product management, and other engineering teams to create solutions that increase the platform's value. 5. Own Delivery - This includes overseeing the end-to-end delivery of Applied AI projects, ensuring adherence to timelines, budget, and impeccable engineering quality, setting up and managing periodic progress meeting,s and act as a point of escalation for project issues, providing timely resolution and effective communication with stakeholders. 6. Participate with senior management in developing a long-term technology road map. Influence, collaborate and communicate effectively with various leaders. Education and Qualification 1.Proven experience of 10+ years in a leadership role overseeing Applied AI engineering teams, preferably within a professional services environment. 2. Successful track-record of Solution Architecting and High-end AI based software development. 3. Strong technical background with expertise in Generative AI, Google AI APIs, Machine Learning, software development methodologies, languages, and frameworks. 4. Excellent communication skills with the ability to articulate technical concepts to both technical and non-technical audiences. 5. Demonstrated success in delivering complex software projects on time and within budget. 6. Ability to thrive in a fast-paced, dynamic environment and adapt to evolving business needs. 7. Leadership qualities including strategic thinking, decision-making, problem-solving, and team-building. 8. Experience in client-facing roles with a focus on building and maintaining relationships. 9. Our technology stack is insane and the role requires experience and understanding of technologies like: a. Python, Pyspark , TensorFlow b. Databases: MongoDB, Google Cloud SQL, Graph/NoSQL, Bigtable c. Google App Engine, GKE, Vertex A I , Doc AI, Conversational AI

Position: Architect AI & ML Experience- 9+ Years Job Location- Pune We are seeking a dynamic and experienced leader to drive the growth of our AI practice with a focus on Generative AI, advanced NLP solutions, and Large Language Models (LLMs). This role is ideal for a seasoned professional who combines technical expertise with exceptional leadership skills, customer-facing experience, and a vision for scaling teams and capabilities. Skills & Qualifications Technical Expertise: Extensive experience with NLP techniques and multi-class/multi-label text classification. Hands-on experience fine-tuning private LLMs (e.g., LLaMA, Gemma). Proficiency in PyTorch, Hugging Face, LangChain, Haystack, and related frameworks. Strong knowledge of model orchestration tools like MLFlow or KubeFlow. Familiarity with RAG techniques and vector stores (e.g., Pinecone, ChromaDB). Strategic Mindset: Visionary thinking with the ability to translate emerging AI trends into actionable business strategies. Good to have: Experience with multi-modal AI models (e.g., image-text, text-audio models). Expertise in Databricks for scalable model development and deployment. Knowledge of Explainability AI tools (e.g., Captum) for interpretable models. Key Responsibilities Leadership & Growth: Lead, mentor, and grow a high-performing AI team, fostering innovation and collaboration. Develop and execute strategies to expand the practice and deliver measurable business value to clients. Customer Engagement: Serve as a confident and articulate interface with clients, ensuring clear communication of AI strategies, solutions, and outcomes. Build trusted partnerships with clients, understanding their needs and aligning solutions to their goals. AI Solution Development: Design and implement state-of-the-art NLP solutions, focusing on multi-class and multi-label text classification. Fine-tune and deploy private LLMs (e.g., LLaMA, Gemma) for tailored business applications. Develop Retrieval-Augmented Generation (RAG) pipelines leveraging vector databases like Pinecone or ChromaDB for high-performance solutions. Operational Excellence: Oversee end-to-end model lifecycle management, including training, deployment, and monitoring. Integrate explainability into AI models, ensuring transparency and trust in decision-making. Collaborate with external LLM providers (e.g., OpenAI, Claude) to enhance and integrate AI capabilities. Leadership & Communication: Proven ability to lead and inspire teams, with a track record of scaling AI practices. Exceptional communication and presentation skills, capable of engaging diverse stakeholders confidently. Additional Skills Experience with multi-modal AI models (e.g., image-text, text-audio models). Expertise in Databricks for scalable model development and deployment. Knowledge of Explainability AI tools (e.g., Captum) for interpretable models.

Job type : CONTRACT Required Skills: . 10+ years of experience in building highly scalable software systems/platforms. . Strong proficiency in building software systems in the cloud and/or Kubernetes/docker. . Experience building elegant technical architectures that solve complex customer problems. . Strong hands-on experience in one or more object oriented programming languages, preferably Python. . Solid experience in API development and API lifecycle management . Strong expertise in data persistence using SQL databases, NoSQL databases, SQL and others. . Experience in one or more areas: Generative Al architectures, ML models, Deep Learning models, Transformer based models. Proven ability to mentor team members in designing, developing, debugging complex software stacks and to develop their technical capabilities. . Experience with the full software lifecycle in highly agile and ambiguous environments . Excellent interpersonal and communication skills. . Ability to support/resolve production customer escalations with excellent debugging and problem solving skills Preferred Skills: . Strong expertise in architecting and building scalable, cloud native software products, using cloud APIs, in one or more public clouds, preferably GCP, utilizing serverless, SQL and NoSQL databases, observability, messaging (pub/sub), API services, IAM, OAuth, OCR, Cloud storage and more. . Good understanding of web technologies, such as JavaScript, and web frameworks such as React, Angular or others. . Experience with IAC, preferably terraform. Location - Remote, {possible to travel Chennai for meetings}.

AI Developer Experience -4 -6 Years Role Overview: We are seeking a talented Senior Software Engineer with a strong emphasis on Generative AI to drive the development of cutting-edge applications. This position is perfect for a candidate passionate about advancing the capabilities of AI to generate new content, ideas, and solutions. You'll be at the forefront of creating and implementing algorithms that empower our systems to learn from data and produce novel outcomes in various formats, including text, images, and more Key Responsibilities: Develop and maintain software applications using Java or Python, incorporating Generative AI models to create innovative features and solutions. Work with diverse data types and formats to perform data handling and pre-processing tasks, including feature extraction and data preparation for use in Generative AI models. Collaborate with cross-functional teams to integrate Generative AI capabilities into software projects, ensuring seamless functionality and user experience. Apply software engineering best practices, including version control (e.g., Git), testing methodologies, modularity, and documentation, to maintain high-quality code and project documentation. Stay informed about the latest developments in Generative AI and actively seek to apply new techniques and models to enhance project outcomes. Understand and adhere to ethical considerations in AI development, ensuring that projects align with ethical standards and societal values. Qualifications: Bachelor's degree in Computer Science, Engineering, or a related field, with a solid foundation in programming, data structures, algorithms, and OOP. 2-4 years of experience in software development, with proficiency in Java or Python. Experience or strong interest in working with Generative AI models and understanding their integration into software applications. Familiarity with data handling and pre-processing techniques for various data types and formats. Knowledge of software engineering fundamentals, including version control systems, testing, modularity, and documentation. An innovative mindset with a willingness to explore new technologies and approaches in the field of Generative AI. Strong problem-solving skills, attention to detail, and the ability to work collaboratively in a team environment.

HCL Tech hiring for AI/ML/Gen Ai for Pune ,Bangalore and Chennai location Location: Pune, Total Exp: 5/6- 8 Years, Relevant Exp: 4-5 years ( Mandatory) Skills : Python / Java / Any programming Skills Rest API - Flask or Fast API GenAI Framework: LangChain / LangGraph / Haystack Cloud: Azure / AWS / GCP ( Basic ) Python Framework: Pandas, numpy, Scykit-learn Key Responsibilities: Develop and deploy machine learning models, predictive analytics, and AI solutions to solve business challenges. Design and optimize algorithms for data processing, feature engineering, and pattern recognition. Strong knowledge of at least one cloud platform (e.g., AWS, Azure, Google Cloud Platform)and AWS/Azure will be preferred Experience working on AI projects, including model development, training, and deployment Drive innovation by leveraging advanced statistical techniques, deep learning, and GenAI technology Ensure data integrity, governance, and best practices in model development and deployment. Mentor junior developer and promote a data-driven culture within the organization. Stay ahead of industry trends and emerging technologies to enhance analytical capabilities. Strong communication and teamwork abilities Preferred Qualifications: Bachelors degree in computer science, Engineering, or a related field Certification in either of AWS, Azure, Cloud Platform. Experience and/or Certification in Kubernetes, Terraform Role & responsibilities Kindly share your resume on aruta.patil@hcltech.com

You are currently on the lookout for a GenAI developer with strong hands-on experience in Python and a solid background in Generative AI, specifically in building and integrating chatbots with various applications. As an AI Developer in the Data Fabric and Advanced Analytics department, you will report to the AI director and be responsible for designing, building, and deploying AI-powered conversational agents using Microsoft Azure AI services. Leveraging natural language processing (NLP), large language models (LLMs), and cloud-based AI tools, you will create chatbots to enhance user experience and automate interactions. Your key responsibilities will include designing and developing AI-powered chatbots using Azure OpenAI, Azure Bot Service, and Cognitive Services. You will implement natural language understanding (NLU) and natural language generation (NLG) for intelligent conversation handling, fine-tune GPT-based models, and integrate them with business applications. Additionally, you will optimize chatbot performance, deploy and manage chatbots using Azure Machine Learning, Azure Functions, and Kubernetes, and integrate chatbots with databases, APIs, and enterprise applications such as Dynamics 365, Microsoft Teams, or custom apps. Ensuring chatbot security, compliance, and scalability in Azure cloud environments and monitoring chatbot analytics using Azure Monitor, Application Insights, and Power BI will also be part of your responsibilities. To be successful in this role, you should have a degree in Computer Science, AI, Data Science, or a related field, along with previous experience in AI/ML projects, internships, or industry roles. A strong portfolio of AI projects and experience in AI-powered chatbot development, cloud computing, and NLP are essential. Your skills and competencies should include experience with Azure OpenAI Service (GPT-4, GPT-3.5), Language Understanding (LUIS), and Conversational AI in AI & NLP, proficiency in Python, C#, and JavaScript for chatbot development in Programming, strong knowledge of Azure AI services, Azure Bot Framework, Cognitive Services, and Azure DevOps in Cloud Computing, experience in integrating chatbots with APIs, databases (Cosmos DB, SQL), and third-party applications in Integration Skills, understanding of fine-tuning LLMs, prompt engineering, and vector search (Azure AI Search) in Machine Learning, experience with Azure Active Directory (AAD), role-based access control (RBAC), and data privacy best practices in Security & Compliance, and experience with CI/CD pipelines, containerization (Docker, Kubernetes), and MLOps in Agile & DevOps.,

You are an experienced AI/ML Engineer with a solid foundation in Machine learning, Artificial Intelligence, and at least one year of hands-on experience in Generative AI. You are proficient in Python, LLM Models, and emerging techniques such as Retrieval-Augmented Generation (RAG), model fine-tuning, and agentic AI systems. Your responsibilities will include designing, developing, and deploying AI/ML solutions with an emphasis on generative models and LLMs. You will implement and optimize RAG pipelines for knowledge-aware AI systems, fine-tune and customize models for specific domains or applications, and build and manage agentic AI systems capable of autonomous planning and decision-making. Collaboration with cross-functional teams to identify use cases and deliver scalable AI-powered features is essential. You will stay up to date with the latest developments in AI/ML and contribute to internal knowledge sharing. Required qualifications include 3+ years of experience in AI/ML development, a minimum of 1 year of hands-on experience in Generative AI projects, proficiency in Python and common ML libraries, a strong understanding of Large Language Models (LLMs) and transformer architectures, experience with RAG pipelines, and hands-on experience with model fine-tuning using LoRA, PEFT, or Hugging Face Transformers. Additionally, experience developing agentic AI systems and working with cloud platforms is necessary. You will work with frameworks & libraries such as LangChain, LlamaIndex, AutoGen, PyTorch, and TensorFlow, model providers like OpenAI, Anthropic, Llama, Mistral, vector stores such as FAISS, Pinecone, Milvus, and APIs & Services like REST, GraphQL. Experience with DevOps & Infra tools like Docker, AWS/GCP/Azure will be beneficial for this role.,

You will be joining a company that specializes in Identity and Access Management (IAM) and Customer Identity and Access Management (CIAM), offering advanced solutions to enhance security for your workforce, customers, and partners. The company also provides cutting-edge security solutions for various popular CMS and project management platforms such as Atlassian, WordPress, Joomla, Drupal, Shopify, BigCommerce, and Magento. The solutions offered are precise, effective, and focused on improving overall security measures. As an AI/ML Engineer with our team, you will play a crucial role in developing innovative AI-powered products and solutions. The ideal candidate for this position should possess a minimum of 10 years of hands-on experience in creating and implementing advanced AI and ML models and related software systems. This is a full-time employee position based in Baner, Pune. Your responsibilities will include developing machine learning and deep learning models and algorithms to address complex business challenges, enhance processes, and improve product functionality. You will work on deploying personalized large language models (LLMs), developing systems for document parsing, named entity recognition (NER), retrieval-augmented generation (RAG), and chatbots, as well as building robust data and ML pipelines for production scalability and performance. Additionally, you will optimize machine learning models for better performance, scalability, and accuracy using techniques like hyperparameter tuning and model optimization. It is crucial to write high-quality, production-ready code using frameworks such as PyTorch or TensorFlow and stay updated on the latest advancements in AI/ML technologies and tools. To qualify for this role, you should hold a Bachelor's or Master's Degree in Computer Science, Data Science, Computational Linguistics, Natural Processing (NLP), or related fields. You must have extensive experience in developing and deploying machine learning models and algorithms, with proficiency in AI/ML frameworks such as TensorFlow, PyTorch, and scikit-learn. Strong programming skills in Python, Java, or C++ are necessary, along with familiarity with web frameworks like FastAPI, Flask, Django, and agentic AI frameworks such as LangChain, LangGraph, AutoGen, or Crew AI. Knowledge of Data Science and MLOps, including ML/DL, Generative AI, containerization (Docker), and orchestration (Kubernetes) for deployment is essential. Experience with cloud platforms like AWS, Azure, and GCP, as well as AI/ML deployment tools, is highly beneficial. In this role, you will have the opportunity to work with a team of talented individuals in a stable, collaborative, and supportive work environment. You will be constantly exposed to new technologies and have the chance to expand your skills and knowledge in the field of AI/ML. Your communication and collaboration skills will be put to the test as you collaborate with stakeholders to understand business requirements, define project objectives, and deliver AI/ML solutions that meet customer needs and drive business value.,

You have around 10 years of experience in AI/ML, Generative AI, and automation domains. As a highly skilled and visionary Solution Architect, your role will involve leading the design and implementation of cutting-edge solutions in Artificial Intelligence (AI), Generative AI, and Automation. You will need a combination of technical expertise, strategic thinking, and leadership to drive innovation and deliver scalable, high-impact solutions across the organization. Your key responsibilities will include designing end-to-end AI and automation solutions that are aligned with business goals and technical requirements. You will participate in business requirements discussions to arrive at solutions and technical architecture that consider all aspects of the business problem. It will be your responsibility to define architecture blueprints, integration patterns, and data pipelines for AI-driven systems. Additionally, you will evaluate and select appropriate AI models, automation tools (e.g., RPA, BPM), and cloud platforms to ensure scalability, security, and performance of deployed solutions. Staying current with emerging technologies and industry trends in AI, ML, NLP, computer vision, and automation will also be crucial. Providing technical leadership and mentorship to engineering teams, as well as participating in pre-sales and client engagements to define solution strategies and roadmaps, will be part of your role. The required qualifications for this position include a Bachelor's or Master's degree in computer science, Engineering, or a related field. You should have proven experience in architecting and deploying Generative AI solutions in production environments in Azure, GCP, AWS, etc. Strong knowledge of AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, experience with automation platforms like UiPath, Automation Anywhere, Power Automate, proficiency in cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes), solid understanding of data engineering, APIs, and microservices architecture, as well as excellent communication and stakeholder management skills. Preferred qualifications for this position include certifications in cloud architecture or AI/ML (e.g., AWS Certified Machine Learning, Azure AI Engineer), experience with MLOps, model monitoring, and CI/CD pipelines, as well as familiarity with ethical AI practices and data privacy regulations.,

The Vivriti Group is a leading player in the mid-market lending sector, providing tailored debt solutions to mid-sized enterprises. The group comprises two primary businesses: Vivriti Capital Limited: This is a systematically important Non-Banking Financial Company (NBFC ND-SI) that is regulated by the Reserve Bank of India (RBI). Vivriti Capital has successfully disbursed over USD 3 billion to more than 300 enterprise borrowers and boasts a CRISIL rating of A+. Vivriti Asset Management: This segment operates as a fixed-income fund manager, overseeing multiple Alternative Investment Funds (AIFs). With commitments exceeding USD 550 million from over 900 institutional and private contributors, Vivriti AMC has invested upwards of USD 600 million across 90 entities. In the role of Manager - AI Product, based in Chennai or Bangalore, you will be responsible for the complete lifecycle management of AI/ML products geared towards wholesale lending. This includes overseeing ideation, strategy formulation, development, launch, and ongoing iteration. Your key collaborators will include data scientists, engineers, designers, credit, risk personnel, and other business stakeholders to ensure that our AI initiatives align with user requirements and business objectives. Your primary responsibilities will include defining and executing the AI product roadmap in partnership with leadership and cross-functional teams, converting business challenges into precise AI/ML product requirements, collaborating with data experts and engineers to establish success metrics and model evaluation frameworks, prioritizing product enhancements based on user feedback, data insights, and business impact, ensuring model performance, explainability, fairness, and compliance with ethical guidelines, driving experimentation and iteration for continuous enhancement, acting as a bridge between engineering, data science, design, and stakeholders to secure timely and high-quality delivery, and keeping abreast of emerging AI trends, technologies, and industry best practices. You will also be tasked with championing a user-centric design approach in collaboration with UX/UI designers to craft intuitive, efficient, and engaging user experiences for complex financial workflows. Additionally, you will define key performance indicators (KPIs) for product success and provide regular performance updates to stakeholders. As for requirements, the ideal candidate should possess up to 3 years of product management experience, particularly with AI/ML-based products, a fundamental grasp of machine learning concepts, model lifecycle, and data infrastructure, a track record of translating intricate technical requirements into scalable product solutions, familiarity with MLOps, model evaluation metrics, and deployment pipelines, exceptional communication and stakeholder management abilities, and experience with agile product development and related tools such as Jira, Confluence, Figma, and GitHub. Desired but not mandatory qualifications include hands-on experience with data analysis tools like SQL, Python, Jupyter, exposure to LLMs, generative AI, or AI applications in NLP, computer vision, or recommendation systems, a background in computer science, engineering, data science, or related fields, and prior exposure to startup or high-growth environments.,

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of yourself. We are counting on your unique voice and perspective to help EY become even better. Join us and build an exceptional experience for yourself, and contribute to creating a better working world for all. As an Assistant Manager in AI/Gen AI within the Data and Analytics team, you will be part of a multi-disciplinary technology team that delivers client projects and solutions across Data Mining & Management, Visualization, Business Analytics, Automation, Statistical Insights, and AI/GenAI. The assignments you work on will cover a wide range of countries and industry sectors. Your key responsibilities include: - Developing, reviewing, and implementing solutions using AI, Machine Learning, Deep Learning, and Python programming. - Leading the development and implementation of Generative AI applications using both open source and closed source Large Language Models (LLMs). - Working with advanced models for natural language processing and creative content generation. - Designing and optimizing solutions leveraging Vector databases for efficient storage and retrieval of contextual data for LLMs. - Identifying opportunities for analytics applications within various industry sectors. - Managing projects and ensuring smooth service delivery. - Collaborating with cross-functional teams and stakeholders. Skills and attributes we are looking for: - Ability to work creatively and systematically in a time-limited, problem-solving environment - High ethical standards and reliability - Curiosity, creativity, and openness to new ideas - Good interpersonal and communication skills - Experience in working with multi-cultural teams and managing multiple priorities simultaneously To qualify for this role, you must have: - Experience in guiding teams on AI/Data Science projects and communicating results to clients - Familiarity with implementing solutions in Azure Cloud Framework - Presentation skills and 6-8 years of relevant work experience in developing and implementing Agentic GenAI/AI, Machine Learning Models - Proficiency in Python programming and experience with statistical techniques, deep learning, and machine learning algorithms - Familiarity with the software development life cycle and product development principles Ideally, you will also have: - Strategic thinking abilities and a customer-focused mindset - Ability to build rapport and trust with clients - Willingness to travel extensively and work on client sites/practice office locations What we offer: EY Global Delivery Services (GDS) provides a dynamic and truly global delivery network with fulfilling career opportunities and exciting projects. You will have the chance to collaborate with EY teams worldwide and work on projects with well-known brands. Continuous learning, success defined by you, transformative leadership, and a diverse and inclusive culture are all part of what EY offers to its employees. Join us at EY to be a part of a team that is committed to building a better working world by creating long-term value for clients, people, and society, and by building trust in the capital markets.,

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of yourself. Your unique voice and perspective are valued to help EY become even better. Join us and contribute to building an exceptional experience for yourself and creating a better working world for all. As a part of our EY - Technology Risk team, you will contribute technically to IT Risk and Assurance client engagements as well as internal projects. Your role will involve actively establishing, maintaining, and strengthening internal and external relationships. You will also be responsible for identifying potential business opportunities for Ernst & Young within existing engagements and escalating them as appropriate. Anticipating and identifying risks within engagements and sharing any issues with senior team members will also be part of your responsibilities. The opportunity entails helping clients navigate the complex world of modern data science and analytics. You will provide advice to clients on designing, implementing, stabilizing, and optimizing internal controls using cutting-edge and scalable AI & Big Data technologies. Your key responsibilities include: - Building and leveraging cutting-edge Gen AI & Big Data platforms to deliver insights for comprehensive Risk & Controls monitoring mechanisms. - Creating executive reporting, proposals, and marketing material with the highest quality deliverables. - Collaborating within the team to solve technical challenges in the design and development of the next-generation AI & Data-led Risk technology platform. To qualify for this role, you must have: - 4+ years of working experience in Large Scale AI/ML models and data science. - Deep understanding of statistics, AI/ML algorithms, and predictive modeling. - Proficiency in AI/ML programming languages like Python, R, and SQL. - Expertise in machine learning algorithms and data mining techniques including deep learning algorithms. - Strong programming skills in Python with machine learning libraries such as Scikit-learn, Pandas, NumPy, etc. - Knowledge of tools such as Docker, Kubernetes, Git, and deep learning frameworks like TensorFlow, PyTorch, or Keras. Ideally, you'll also have a Bachelor's Degree or above in mathematics, information systems, statistics, computer science, Data Science, or related disciplines. Relevant certifications are considered a plus. Being self-driven, a creative problem solver, and enjoying the fast-paced environment of software development are qualities that are valued. At EY, you will have opportunities to work with leading businesses globally and develop your skills and career. You will work on inspiring and meaningful projects, receive support, coaching, and feedback from engaging colleagues, and have the freedom and flexibility to handle your role in a way that suits you. EY is committed to building a better working world by creating long-term value for clients, people, and society through trust, data, and technology.,

The Senior Technical Architect - Generative AI and Agent Factory is accountable for overseeing the overall architecture, design, and strategic advancement of PepsiCo's enterprise-level GenAI platforms, namely PepGenX, Agent Factory, and PepVigil. Your primary objective will be to establish scalable, event-driven agent orchestration frameworks, modular agent templates, and integration strategies that empower intelligent, governed, and reusable agent ecosystems, thus expediting the implementation of AI-driven solutions across various commercial, reporting, and enterprise automation scenarios. You will be responsible for architecting and managing the development of scalable, modular AI agent frameworks (such as Agent Mesh, Orchestrator, Memory, Canvas) for broad organizational utility. Your role will also involve defining event-driven orchestration and agentic execution patterns (e.g., Temporal, LangGraph, AST-RAG, reflection) to facilitate intelligent, context-aware workflows. Additionally, you will drive platform integration across PepGenX, Agent Factory, and PepVigil to ensure uniformity in observability, security, and orchestration approaches. Developing reusable agent templates, blueprints, and context frameworks (e.g., MCP, semantic caching) to expedite use case onboarding across various domains will also fall under your purview. Moreover, you will be instrumental in setting up architecture standards to incorporate Responsible AI (RAI), data privacy, and policy enforcement within GenAI agents, and lead technical architecture planning for delivery sprints, vendor integration tracks, and GenAI product releases. To be considered for this role, you should possess a Bachelor's or Master's degree in Computer Science, Engineering, or a related field, along with a minimum of 12 years of experience in enterprise software or AI architecture roles, with recent specialization in LLMs, Generative AI, or intelligent agents. You must have a proven track record in designing and implementing agent-based frameworks or AI orchestration platforms, and a solid understanding of technologies like LangGraph, Temporal, vector databases, multimodal RAGs, event-driven systems, and memory management. Hands-on experience with Kubernetes, Azure AI/AKS, REST APIs, and observability stacks is essential, as is the ability to influence enterprise architecture and provide guidance to cross-functional engineering teams. Excellent communication skills are a must, allowing you to effectively convey intricate technical concepts to a diverse set of stakeholders.,

Qualcomm India Private Limited is seeking an experienced individual to join Qualcomms Engineering IT EDAAP team as an IT Programmer Analyst. The ideal candidate should have 7-10 years of experience in developing dashboards using reporting tools such as Tableau (Tableau API), Power BI, and OBIEE. As an independent contributor, you will be responsible for developing and sustaining enterprise level software applications. Your main tasks will include developing visualizations and dashboards with Tableau, strong knowledge of SQL, and test, debug, and performance tuning of dashboards and reports. You should have a fundamental understanding of object-oriented design, data structures, algorithms, and problem-solving. Additionally, you will be required to work in an agile development environment, translate ad hoc report requests into common dashboards, and have knowledge of different types of enterprise systems and their interactions within an enterprise. Experience working with Oracle, MySQL, and Postgres is essential. The willingness to multitask and work in a fast-paced environment, as well as taking ownership and driving tasks to completion, are key attributes for this role. Desirable skills include Python programming experience, developing dashboards with Power BI, exposure to Qlikview, OBIEE, and ThoughtSpot, experience in the semiconductor industry, and working with NoSQL databases such as MongoDB, as well as relational databases like MySQL and Oracle. To be considered for this position, you must have a Bachelor's degree in a technical discipline or equivalent experience. Qualifications required include 5 or more years of experience in applying AI and machine learning techniques to technology solutions, with a strong background in machine learning, deep learning, and natural language processing. Expertise in ML, deep learning, PyTorch, Python, NLP, and Transformer architecture is essential, as well as experience in deploying LLMs and embedding models in production use cases. Preferred qualifications include a Bachelor's or Master's degree in computer science, Artificial Intelligence, Data Science, or a related field, experience in implementing end-to-end ML/NLP systems, working with transformer-based models, and experience in a distributed team and cloud environments. Minimum qualifications for this role include 4+ years of work experience in programming, scripting, and/or automation, or IT-relevant work experience with a Bachelor's degree, or 6+ years of work experience without a Bachelor's degree. Additionally, 2+ years of experience with Database Design structures, such as MongoDB and MySQL, is required. Qualcomm is an equal opportunity employer committed to providing accessible processes for individuals with disabilities. If you require accommodations during the application/hiring process, please contact Qualcomm for assistance. Employees are expected to adhere to all applicable policies and procedures, including security and confidentiality requirements. Please note that Qualcomm does not accept unsolicited resumes or applications from agencies, and individuals seeking a job at Qualcomm should apply directly through the Qualcomm Careers Site. For more information about this role, please contact Qualcomm Careers.,

At PwC, our data and analytics team focuses on utilizing data to drive insights and support informed business decisions. We leverage advanced analytics techniques to assist clients in optimizing their operations and achieving strategic goals. As a data analysis professional at PwC, your role will involve utilizing advanced analytical methods to extract insights from large datasets, enabling data-driven decision-making. Your expertise in data manipulation, visualization, and statistical modeling will be pivotal in helping clients solve complex business challenges. PwC US - Acceleration Center is currently seeking a highly skilled MLOps/LLMOps Engineer to play a critical role in deploying, scaling, and maintaining Generative AI models. This position requires close collaboration with data scientists, ML/GenAI engineers, and DevOps teams to ensure the seamless integration and operation of GenAI models within production environments at PwC and for our clients. The ideal candidate will possess a strong background in MLOps practices and a keen interest in Generative AI technologies. With a preference for candidates with 4+ years of hands-on experience, core qualifications for this role include: - 3+ years of experience developing and deploying AI models in production environments, alongside 1 year of working on proofs of concept and prototypes. - Proficiency in software development, including building and maintaining scalable, distributed systems. - Strong programming skills in languages such as Python and familiarity with ML frameworks like TensorFlow and PyTorch. - Knowledge of containerization and orchestration tools like Docker and Kubernetes. - Understanding of cloud platforms such as AWS, GCP, and Azure, including their ML/AI service offerings. - Experience with continuous integration and delivery tools like Jenkins, GitLab CI/CD, or CircleCI. - Familiarity with infrastructure as code tools like Terraform or CloudFormation. Key Responsibilities: - Develop and implement MLOps strategies tailored for Generative AI models to ensure robustness, scalability, and reliability. - Design and manage CI/CD pipelines specialized for ML workflows, including deploying generative models like GANs, VAEs, and Transformers. - Monitor and optimize AI model performance in production, utilizing tools for continuous validation, retraining, and A/B testing. - Collaborate with data scientists and ML researchers to translate model requirements into scalable operational frameworks. - Implement best practices for version control, containerization, and orchestration using industry-standard tools. - Ensure compliance with data privacy regulations and company policies during model deployment. - Troubleshoot and resolve issues related to ML model serving, data anomalies, and infrastructure performance. - Stay updated with the latest MLOps and Generative AI developments to enhance AI capabilities. Project Delivery: - Design and implement scalable deployment pipelines for ML/GenAI models to transition them from development to production environments. - Oversee the setup of cloud infrastructure and automated data ingestion pipelines to meet GenAI workload requirements. - Create detailed documentation for deployment pipelines, monitoring setups, and operational procedures. Client Engagement: - Collaborate with clients to understand their business needs and design ML/LLMOps solutions. - Present technical approaches and results to technical and non-technical stakeholders. - Conduct training sessions and workshops for client teams. - Create comprehensive documentation and user guides for clients. Innovation And Knowledge Sharing: - Stay updated with the latest trends in MLOps/LLMOps and Generative AI. - Develop internal tools and frameworks to accelerate model development and deployment. - Mentor junior team members and contribute to technical publications. Professional And Educational Background: - Any graduate / BE / B.Tech / MCA / M.Sc / M.E / M.Tech / Masters Degree / MBA,

You will be joining our innovative EdTech team as an experienced AI/ML Content Developer. Your primary responsibility will be to create cutting-edge educational content in the field of artificial intelligence and machine learning. You will play a key role in developing comprehensive courses that cover a wide range of AI/ML domains, starting from foundational machine learning concepts to advanced generative AI and agentic AI systems. This position presents an exciting opportunity for you to influence how the next generation of AI practitioners learn and apply these transformative technologies. In this role, your tasks will include designing and developing comprehensive courses across AI/ML domains such as machine learning, natural language processing, computer vision, generative AI, and agentic AI systems. You will create diverse content formats, including hands-on labs, interactive exercises, assessments, and project-based learning modules. Additionally, you will structure learning paths that logically progress from foundational concepts to advanced AI applications. You will also develop practical coding exercises and real-world implementation scenarios using industry-standard tools and frameworks. Ensuring the quality and industry relevance of the content will be a crucial aspect of your role. You will need to ensure that all content reflects current AI/ML best practices and stays aligned with rapidly evolving industry trends. Creating practical, real-world scenarios that simulate actual AI development workflows and challenges will be part of your responsibilities. You will also collaborate with our instructional design team to optimize learning outcomes for complex technical concepts. Furthermore, you will work closely with our platform team to ensure the seamless delivery of AI/ML content and interactive experiences. Continuous iteration and improvement of existing content based on learner feedback and performance metrics will be essential. Staying updated with the latest AI research, tools, and educational methodologies, as well as integrating emerging AI technologies and frameworks into the curriculum as they become industry-relevant, will also be part of your role. For this position, we are looking for candidates with 3+ years of hands-on industry experience in machine learning, AI development, or related technical roles. Essential qualifications include domain expertise in machine learning algorithms, deep learning architectures, and AI system design. Proficiency in Python and core data science libraries, experience with machine learning frameworks like PyTorch and TensorFlow, and expertise in natural language processing techniques are also required. Additionally, strong communication skills, the ability to explain complex AI concepts clearly, and experience in creating technical AI/ML content are essential for this role. Preferred qualifications include an advanced degree (Master's/PhD) in Computer Science, Machine Learning, Data Science, or a related field, published research in AI/ML conferences or journals, experience with reinforcement learning and multi-agent systems, familiarity with AI safety, ethics, and responsible AI development practices, and knowledge of emerging AI architectures and research trends. Background in technical training, workshops, or mentoring in AI/ML domains and an understanding of accessibility standards in educational content are also desirable.,