633 Gen Ai Jobs - Page 18

Dear Candidate, We are actively hiring for GEN AI position open for PAN India location. Role Summary We are seeking a seasoned Generative AI Technology Architect to lead the design and implementation of enterprise grade Gen AI solutions This role demands deep technical expertise in AIML a strong architectural mindset and the ability to translate business needs into scalable secure and responsible AI systems You will serve as a thought leader mentor and strategic advisor across AI initiatives Key Responsibilities Architect end-to-end Gen AI solutions including LLM based applications RAG pipelines and multimodal systems Define and enforce architectural standards design patterns and best practices for Gen AI systems Lead the evaluation and selection of Gen AI platforms frameworks and infrastructure eg vector DBs orchestration layers model hubs Collaborate with data scientists MLOps engineers and business stakeholders to align AI capabilities with enterprise goals Drive PoCs and pilots to validate Gen AI use cases and scale successful patterns into production Ensure compliance with data privacy security and responsible AI principles Contribute to internal knowledge assets such as reference architectures whitepapers and reusable components Required Skills Proven experience in designing and deploying AIML systems at scale including Gen AI applications Deep understanding of LLMs prompt engineering finetuning and RAG workflows Proficiency in Python and frameworks like PyTorch TensorFlow Hugging Face LangChain or LlamaIndex Strong grasp of cloudnative architectures AWS Azure GCP and containerization Docker Kubernetes Experience with MLOps tools MLflow SageMaker Vertex AI etc and CICD for AI pipelines Familiarity with vector databases eg FAISS Pinecone Weaviate and embedding strategies Should have understanding of LLM models like Vision MultiModal etc Strong Experience in Python programming and related frameworks eg Django Flask Extensive experience in building scalable and robust applications using Python Handson Experience to all SDLC Phases Knowledge of cloud platforms eg AWS Azure GCP and their AIML services Experience with database systems eg SQL NoSQL and data modeling Strong problem-solving and analytical skills with the ability to translate business requirements into technical solutions Excellent leadership and team management skills with the ability to motivate and develop a high performing team Strong communication and collaboration skills with the ability to work effectively in cross functional teams Self-motivated and proactive with a passion for learning and staying up to date with emerging technologies and industry trends Preferred Qualifications Bachelors or Masters in Computer Science AI or related field Experience integrating Gen AI into enterprise platforms eg ERP CRM HRMS Exposure to multimodal AI text image audio and agentbased architectures Strong communication and stakeholder management skills Contributions to opensource AI projects or published research If interested, kindly share your resume with below details to Richa.Rane@alphacom.in Full Name: Pan Card No: DOB: Total Experience: Relevant Experience: Current/Last Company: Current CTC: Expected CTC: Notice Period: Current Location: Preferred Location: Reason for job change: Share your passport size photo: Thanks & Regards, Richa Rane Talent Acquisition Richa.Rane@alphacom.in

About this role: Wells Fargo is seeking a Principal Engineer In this role, you will: Act as an advisor to leadership to develop or influence applications, network, information security, database, operating systems, or web technologies for highly complex business and technical needs across multiple groups Lead the strategy and resolution of highly complex and unique challenges requiring in-depth evaluation across multiple areas or the enterprise, delivering solutions that are long-term, large-scale and require vision, creativity, innovation, advanced analytical and inductive thinking Translate advanced technology experience, an in-depth knowledge of the organizations tactical and strategic business objectives, the enterprise technological environment, the organization structure, and strategic technological opportunities and requirements into technical engineering solutions Provide vision, direction and expertise to leadership on implementing innovative and significant business solutions Maintain knowledge of industry best practices and new technologies and recommends innovations that enhance operations or provide a competitive advantage to the organization Strategically engage with all levels of professionals and managers across the enterprise and serve as an expert advisor to leadership Required Qualifications: 7+ years of Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: Experience in building new apps, and major enhancements and transformation to large application suite. Experience in automating manual process using state of the art methodologies and techniques Able to own the roadmap for a large and critical SDLC domain application and interacts with CI/CD, DevOps and IDP teams Job Expectations: Full stack developer in .net and react is preferred Additional skills in Java, Python, ETL and database technologies are expected. Application modernization, micro services architecture are required skills. User experience, business process simplification and automation are desired. Experience and knowledge in Gen AI / Agentic AI is a added plus.

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 customers 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

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. AI Engineer is tasked with the design, development, and deployment of advanced generative AI models and systems. This position requires close collaboration with data scientists, product managers, and other stakeholders to integrate generative AI solutions into existing products and develop new innovative features. Proficiency in the Agentic AI framework is vital for coordinating multiple autonomous AI agents to accomplish complex tasks. Primary Responsibilities: Implement Generative AI Models: Develop sophisticated generative AI algorithms and models to create new data samples, patterns, or content based on existing data or inputs Data Processing: Collaborate with stakeholders to preprocess, analyze, and interpret extensive datasets Model Deployment: Deploy generative AI models into production environments, ensuring scalability and robustness Optimization: Conduct model testing, validation, and optimization to enhance performance Integration: Work with cross-functional teams to seamlessly integrate generative AI solutions into products Research: Stay current with the latest advancements in generative AI technologies and practices Agentic AI Framework: Utilize the Agentic AI framework to coordinate multiple AI agents for the completion of complex tasks Mentorship: Provide mentorship to junior team members and offer technical guidance Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or a related field 5+ years of experience in software engineering with a focus on AI/ML Experience with data preprocessing and analysis Knowledge of the Agentic AI framework and its application in AI systems Proficiency in machine learning frameworks such as TensorFlow and PyTorch Solid programming skills in Python, Java, or C++ Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure) Proven excellent problem-solving abilities and algorithmic thinking Proven solid communication and teamwork skills Preferred Qualifications: Experience with data processing Knowledge of version control systems like Git Understanding of Generative AI, associated technologies and frameworks like RAG, agents etc.

Job Title: AWS Infrastructure Engineer (Generative AI Platform Support) Location Hyderabad, Telangana, India Key Responsibilities As an AWS Infrastructure Engineer focusing on Generative AI Platform Support, you will: Cloud Infrastructure Management: Provide technical support for our Generative AI platform, with a strong focus on the integration of cloud infrastructure deployment and ongoing maintenance. Resilience & Scalability: Assess and enhance the AI platform's cloud infrastructure and data pipeline resilience using AWS and cloud-based technologies. Ensure the scalability and fault tolerance of AI/ML models within cloud environments. Performance Optimization: Identify and resolve bottlenecks in model inference and training pipelines, focusing on performance and resource optimization. Optimize cloud resource utilization on AWS for real-time use cases, including AI model deployment. DevOps Collaboration: Work closely with the DevOps team on improving cloud deployment processes and managing AWS infrastructure. Automated Testing: Implement automated testing to simulate fault tolerance and ensure high availability of the platform. Technical Support: Provide ongoing technical support for users of the Generative AI platform, troubleshooting issues and responding to queries to ensure seamless operations. Monitoring & Cost Optimization: Monitor cloud platform performance on AWS, identifying and implementing optimization strategies to improve cost efficiency and scalability. AWS Services Utilization: Work hands-on with various AWS cloud services (e.g., EC2, S3, Lambda, VPC) to ensure proper configuration management and performance. Documentation: Document key processes, issues, and solutions for knowledge sharing and future reference. Continuous Learning: Stay updated with industry trends in Generative AI, cloud technologies, and AWS cloud administration. Mandatory Skills & Experience Technical Proficiency: AWS Cloud Administration: Expertise in AWS Cloud Administration and Infrastructure management. AWS Services: Hands-on experience with AWS cloud services including EC2, S3, Lambda, VPC . Cloud Infrastructure & Data Pipelines: Proven ability to assess and enhance cloud infrastructure and data pipeline resilience using AWS and cloud-based technologies. Scalability & Fault Tolerance: Experience ensuring scalability and fault tolerance of AI/ML models within cloud environments. Performance Optimization: Ability to identify and resolve bottlenecks in model inference and training pipelines, focusing on performance and resource optimization. Resource Optimization: Experience optimizing cloud resource utilization on AWS for real-time use cases. Automated Testing: Ability to implement automated testing to simulate fault tolerance and ensure high availability. Monitoring: Experience monitoring cloud platform performance on AWS. Experience & Qualifications: Proven experience in providing technical support for AI platforms with a focus on cloud infrastructure. Demonstrated ability to collaborate with DevOps teams on cloud deployment processes and AWS infrastructure management. Essential Professional Skills Strong troubleshooting skills for technical issues. Ability to collaborate effectively with cross-functional teams. Strong communication skills for technical support and knowledge sharing. Proactive approach to identifying and implementing optimization strategies .

locationsBengaluru, India posted onPosted 4 Days Ago job requisition idR-462134 About this role: Wells Fargo is seeking a Software Engineer. In this role, you will: Participate in low to moderately complex initiatives and projects associated with the technology domain, including installation, upgrades, and deployment efforts Identify opportunities for service quality and availability improvements within the technology domain environment Design, code, test, debug, and document for low to moderately complex projects and programs associated with technology domain, including upgrades and deployments Review and analyze technical assignments or challenges that are related to low to medium risk deliverables and that require research, evaluation, and selection of alternative technology domains Present recommendations for resolving issues or may escalate issues as needed to meet established service level agreements Exercise some independent judgment while also developing understanding of given technology domain in reference to security and compliance requirements Provide information to technology colleagues, internal partners, and stakeholders Required Qualifications: 2+ years of software engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: Work as a Generative AI engineer developing enterprise-scale AI applications Design, implement, and optimize LLM-based solutions using state-of-the-art frameworks Lead Gen AI initiatives focused on developing intelligent agents and conversational systems Design and build robust LLM interfaces and orchestration pipelines Develop evaluation frameworks to measure and improve model performance Implement prompt engineering techniques to optimize model outputs Integrate Gen AI capabilities with existing enterprise applications Build and maintain frontend interfaces for AI applications Strong proficiency in Python/Java and LLM orchestration frameworks (LangChain, LangGraph) Basic Knowledge of model context protocols, RAG architectures, and embedding techniques Experience with model evaluation frameworks and metrics for LLM performance Proficiency in frontend development with React.js for AI applications Experience with UI/UX design patterns specific to AI interfaces Experience with vector databases and efficient retrieval methods Knowledge of prompt engineering techniques and best practices Experience with containerization and microservices architecture Strong understanding of semantic search and document retrieval systems Working knowledge of both structured and unstructured data processing Experience with version control using GitHub and CI/CD pipelines Experience working with globally distributed teams in Agile scrums Job Expectations: Understanding of enterprise use cases for Generative AI Knowledge of responsible AI practices and ethical considerations Ability to optimize AI solutions for performance and cost Well versed in MLOps concepts for LLM applications Staying current with rapidly evolving Gen AI technologies and best practices Experience implementing security best practices for AI applications

Machine Learning, Deep Learning, and AI Research Generative AI (GANs, VAEs, Diffusion Models) Document Detail Extraction, Feature Engineering Prompt Engineering & Chain-of-Thought Reasoning Python Programming, AI Agent Design Developed and deployed an AI-powered generative tool for extracting structured details from unstructured documents. Implemented chain of thought reasoning techniques to craft optimized prompts for generative AI models. Designed and deployed AI agents to automate complex workflows and improve efficiency. Experience with neural networks, generative models, and advanced AI techniques, Python, GANs, VAEs, diffusion models, Streamlit

Should lead key initiatives in GenAI COE on new tech trends, R and D on new product POC Work on proposals, Provide solutions architecture design solution on different business use cases Ability to work across various different GenAI Models and cloud providers Should have a strong experience in implementing projects in Digital Engineering Or Data Analytics Technically lead a team of developers and groom talent Extensive implementation experience in data analytics space or a senior developer role in one of the modern technology stack Excellent programming skills and proficiency in at least one of the major programming scripting languages used in Gen AI orchestration such as Python or PySpark or Java Ability to build API based scalable solutions and debug & troubleshoot software or design issues Hands on exposure to integrating atleast one of the popular LLMs(Open AI GPT, PaLM 2, Dolly, Claude 2, Cohere etc.) using API endpoints. Thorough understanding of prompt engineering; implementation exposure to LLM agents like LangChain & vector databases Pinecone or Chroma or FAISS Basic data engineering skills to load structured & unstructured data from source systems to target data stores. Build and maintain data pipelines and infrastructure to support Hands on exposure to using cloud(Azure/GCP/AWS) services for storage, serverless-logic, search, transcription and chat Extensive experience with data engineering and should be hands on in using Agentic AI Framework, RAG

Experience: 4+ years of experience in AI and machine learning Expertise in Python: Demonstrable experience with Python, including its data science and AI libraries such as TensorFlow, PyTorch, spaCy, and GPT (OpenAI). Familiarity with other programming languages such as Java or C++ is a plus. Azure OpenAI and Cloud Services: Hands-on experience with Azure OpenAI services, and a good understanding of other Azure services such as Azure Machine Learning, Azure Functions, and Azure Logic Apps for integrating AI capabilities. LLM and NLP Techniques: Deep understanding of Natural Language Processing (NLP) techniques, including tokenization, sentiment analysis, entity recognition, and especially the mechanics and applications of Large Language Models (LLMs). Creative Prompt Design: Ability to craft and refine prompts that effectively guide LLMs in producing desired textual outputs. This includes understanding different prompt types, such as zero-shot, few-shot, and chain-of-thought prompting. Strong programming skills in Python and familiarity with AI development tools and libraries. Should have hands-on experience in deploying at least one end to end GenAI project Knowledge of AI model training, fine-tuning, and deployment processes Excellent problem-solving and analytical skills Effective communication and interpersonal skills Qualification We are seeking skilled LLM Engineers with 5 to 8 years of experience to design, fine-tune, and implement large language model (LLM)-based solutions for an AI integration project. This role involves developing AI-driven functionalities tailored for Salesforce CRM and service ticketing platforms using Azure OpenAI and OpenAI technologies. Key Responsibilities: Develop and deploy LLM-based solutions for AI integration into Salesforce and service ticketing systems. Fine-tune pre-trained language models (e.g., GPT) to align with business requirements and enhance application performance. Collaborate with architects and stakeholders to implement generative AI-driven solutions for workflow automation and customer support. Ensure optimized performance and accuracy of LLMs for use cases such as ticket categorization, routing, and customer interaction. Design and implement scalable, secure, and compliant LLM-based architectures. Stay updated on advancements in AI/ML and LLM technologies and apply innovative techniques to solve business challenges. Qualifications: Bachelors or Masters degree in Computer Science, Engineering, or related fields. 5 to 8 years of experience in software development or machine learning, with strong exposure to LLMs and generative AI models. Hands-on experience with Azure OpenAI, OpenAI APIs (e.g., GPT models), and their integration into enterprise systems. Proficiency in programming languages such as Python, with a focus on NLP libraries and ML frameworks (e.g., TensorFlow, PyTorch, Hugging Face). Strong understanding of data preprocessing, model training, and optimization techniques for large-scale applications. Preferred Skills: Experience integrating LLM-based solutions with Salesforce and service ticketing platforms. Knowledge of cloud deployment and automation practices using tools like Docker, Kubernetes, or Azure DevOps. Familiarity with API development and integration for real-time AI functionalities. Understanding of data governance, security, and compliance standards in AI implementations

Join us for an exciting WOMEN ONLY SDE Internship at Meesho. Based on the performance at Meesho, successful candidates will be considered for a full-time opportunity (FTE). The FTE salary offered will be INR 20,00,000 p.a. fixed + Benefits . APPLY HERE: https://p.hck.re/LeA3 About the role: As an SDE Trainee , we expect you to be motivated in solving real-life complex problems and creating compelling experiences for our resellers. Being a small company we have a culture of creative problem- solving, intellectual design, fast-paced development, and passionate product delivery. The pace of our growth is incredible. If you want to tackle hard, interesting and UNIQUE problems, and create an impact within an entrepreneurial environment, JOIN US! Key Responsibilities: Collaborate with teams to develop new features for Meesho customers and suppliers Leverage state-of-the-art technologies and write highly performant code Take end-to-end ownership of features, from ideation to production Technical Requirements: 0-1 years of experience Strong problem-solving skills Excellent understanding of data structures and algorithms, and their space & time complexities Strong hands-on and practical working experience with at least one programming language: Java/Python/Javascript Excellent coding skills should be able to convert design into code fluently.

Join us for an exciting SDE Traineeship at Meesho. Based on the performance at Meesho, successful candidates will be considered for a full-time opportunity (FTE). The FTE salary offered will be INR 20,00,000 p.a. fixed + Benefits . Position: Software Development Engineer - Trainee Location : Bengaluru APPLY HERE: https://p.hck.re/6TcJ About the role: As an SDE Trainee , we expect you to be motivated in solving real-life complex problems and creating compelling experiences for our resellers. Being a small company we have a culture of creative problem- solving, intellectual design, fast-paced development, and passionate product delivery. The pace of our growth is incredible. If you want to tackle hard, interesting and UNIQUE problems, and create an impact within an entrepreneurial environment, JOIN US! Key Responsibilities: Collaborate with teams to develop new features for Meesho customers and suppliers Leverage state-of-the-art technologies and write highly performant code Take end-to-end ownership of features, from ideation to production Technical Requirements: 0-1 years of experience Strong problem-solving skills Excellent understanding of data structures and algorithms, and their space & time complexities Strong hands-on and practical working experience with at least one programming language: Java/Python/Javascript Excellent coding skills should be able to convert design into code fluently.

The Company India's marquee global technology & consulting company. They are an international flag-bearer of technical and managerial excellence. With offices around the globe, the company has a comprehensive presence across multiple segments of the technology product and service industries as well as a blue-chip roster of clients for their Consulting engagements. They are a respected career company and a long-term wealth creator. The Job We are seeking an 6 Years of IT industry experience in which 2/3 years should be in AI/ML/DS domain, including Gen AI technologies. We are seeking an accomplished Generative AI Technical Lead to spearhead the development, implementation, and optimization of Generative AI solutions. As the Lead Developer, you will play a pivotal role in prompt engineering, pipeline creation, workflow establishment, and ensuring the quality of the technical outputs generated by the team. This role requires strong technical expertise in Generative AI, hands-on experience in development, and the ability to lead and guide a team effectively. Primary Skill Set: Generative AI Expertise: Good understanding of various Generative AI techniques, including GANs, VAEs, and other relevant architectures. Proven experience in applying these techniques to real-world problems for tasks such as image and text generation. Conversant with Gen AI development tools like Prompt engineering, Langchain, Semantic Kernels, Function calling. Exposure to both API based and opens source LLMs based solution design. Technical Proficiency: Machine learning algorithms: Linear regression, logistic regression, decision trees, random forests, support vector machines, neural networks Data science tools: NumPy, SciPy, Pandas, Matplotlib, TensorFlow, Keras Cloud computing platforms: AWS, Azure, GCP Natural language processing (NLP): Transformer models, attention mechanisms, word embeddings Computer vision: Convolutional neural networks, recurrent neural networks, object detection Robotics: Reinforcement learning, motion planning, control systems Data ethics: Bias in machine learning, fairness in algorithms Your Profile Roles & Responsibilities: Technical Leadership: Lead a team of developers in the creation, implementation, and optimization of Generative AI solutions. Provide technical guidance, resolve challenges, and foster a collaborative environment. Prompt Engineering: Spearhead the design and development of prompt engineering strategies to influence and control the output of Generative AI models. Optimize prompts for desired results. Pipeline Design: Design end-to-end data pipelines that encompass data preprocessing, feature engineering, model training, and deployment. Ensure pipelines are efficient, scalable, and well-documented. Technical Review: Review the technical outputs generated by the team, including code, models, and pipelines. Ensure high-quality and maintainable solutions that adhere to best practices. Testing and Validation: Implement testing methodologies to validate the performance and accuracy of Generative AI models. Develop and execute unit tests, integration tests, and validation strategies. Deployment Strategy: Collaborate with DevOps and deployment teams to deploy trained models into production environments. Ensure smooth integration and monitor performance post-deployment. Workflow Optimization: Identify opportunities to optimize development workflows, enhance productivity, and streamline processes. Implement tools and practices to improve efficiency. Collaboration: Interface with cross-functional teams, including data scientists, architects, and business stakeholders. Collaborate on solution design, implementation, and project milestones. Documentation: Maintain comprehensive documentation of technical designs, code, and workflows. Ensure documentation is up-to-date, accessible, and understandable for team members.

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 Ass istant Vice President - Presales Solution Architect In this role, you%27ll be part of Genpact%27s transformation under GenpactNext , as we lead the shift to Agentic AI Solutions&mdashdomain-specific, autonomous systems that redefine how we deliver value to clients. You%27ll help drive the adoption of innovations like the Genpact AP Suite in finance and accounting, with more Agentic AI products set to expand across service lines. In this role, you will be responsible for being familiar with our products and offerings, understanding customer needs and requirements, creating a compelling story to solve the identified business challenges, running demos, and answering technical questions. You will play a crucial role in addressing technical challenges faced by our customers and proposing effective solutions. Your ability to analyze customer requirements and translate them into tailored solutions will be key to your success in this position. Responsibilities Be familiar with our products and offerings to effectively understand customer needs and pain points, align them with the most appropriate products we have available, and architect end-to-end software solutions to address the client&rsquos requirements, taking into account the existing client technology landscape. Create a compelling story that effectively solves the identified issues faced by customers, using your technical knowledge together with our products and offerings knowledge. Deliver product demonstrations that showcase the functionality and value of our solutions, tailoring them to address specific customer pain points. Collaborate with cross-functional teams, including sales, product development, and customer success, to ensure seamless communication and deliver actionable solution strategies. Support our effort to respond to clients%27 Request for Proposals (RFPs) and Request for Information (RFIs) by leveraging your technical expertise and understanding of our products and offerings. Prepare comprehensive and compelling responses that address the specific requirements outlined in the RFPs/RFIs, showcasing how our solutions can meet the client%27s needs. Utilize your technical expertise and understanding of our products and solutions to estimate the effort required for implementing and delivering customized solutions to clients. Actively participate in the sales cycle, helping to close deals by demonstrating the value of the proposed solutions. Foster a culture of continuous innovation and experimentation to drive differentiation in the market. Stay updated on industry trends and advancements to continuously enhance your technical knowledge and expertise . Qualifications we seek in you! Minimum Qualifications Should have experience in complex data engineering, data management, Analytics and cloud migration/modernization initiatives. Relevant years in IT services with strong background in solutioning lead role. Proven track record of creating and delivering new assets/accelerators products, or solutions that have contributed to revenue growth. Strong problem-solving skills and the ability to manage ambiguity. Strong understanding of software development lifecycle methodologies, solution architecture, and design principles. Excellent communication, presentation, and storytelling skills, with the ability to effectively convey complex technical concepts to both technical and non-technical stakeholders. Ability to work collaboratively in cross-functional teams, including sales, product management, and development teams. Strong problem-solving skills and the ability to think strategically to identify client needs and propose innovative solutions. Preferred Qualifications/ Skills Experience with AI/ML, Gen AI/Agentic AI solutions Experience in any one of cloud technologies (AWS/Azure/GCP) 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.

Primary skill Gen AI developer Secondary skill Model hosting LLM knowledge. Ability to stay updated with the latest advancements in generative AI research and incorporate them into work. JD -Advanced programming knowledge, including mastery of programming languages such as Python, and especially AI-centric libraries like TensorFlow, PyTorch, and Keras. This includes the ability to implement and manipulate complex algorithms fundamental to developing generative AI models. -Expertise in generative models such as generative adversarial networks (GANs) and variational autoencoders (VAEs). The candidate should be able to design, train, and optimize these models to generate high-quality, creative content. -Natural language processing (NLP) for text generation projects. This includes familiarity with techniques for text parsing, sentiment analysis, and the use of transformers like GPT (generative pre-trained transformer) models. -Model hosting LLM knowledge -Ability to design and implement scalable and efficient AI systems. -Advanced knowledge of natural language processing for text generation tasks. -Familiarity with computer vision and image generation using AI. Akshay Ignore -Skills in data preprocessing and feature engineering for AI model training. -Strong understanding of neural network architectures and optimization techniques.-

Detailed JD *(Roles and Responsibilities) Bachelors degree or higher in Machine Learning, Computer Science, Computational Linguistics, Mathematics or other relevant technical field from premier institute. •Strong foundation in Probability, Statistics, Linear Algebra, Calculus, Machine Learning and Generative AI/LLM. •Expertise in Deep Learning techniques and applications. •Strong understanding of Generative AI (GenAI) including math behind the models and its practical implementations. •Hands-on experience working with Large Language Model APIs like Azure OpenAI, Anthropic etc.. and cloud ecosystems like Azure, AWS, GCP, Databricks •Proficiency in LangChain, LangGraph, and working with Vector Databases for advanced data retrieval and AI workflows. •Proficiency in Python or similar programming languages, with experience in AI/ML libraries and frameworks such as TensorFlow, PyTorch, or Hugging Face. •Knowledge of financial products, including mutual funds, ETFs, and client segmentation, is a plus. •Excellent problem-solving and analytical skills. •Strong communication skills to explain complex models and insights effectively. Mandatory skills* Python + Gen AI

Programming Skills: Advanced proficiency in Python, with experience in AI/ML frameworks. Azure DevOps: Expertise in version control systems (e.g., Git) and Azure DevOps tools for automation and monitoring. CI/CD Pipelines: Proven ability to design and implement continuous integration and deployment workflows. Infrastructure as Code: Experience with ARM templates or Terraform for provisioning cloud infrastructure. Containerization: Strong knowledge of Docker and Kubernetes for application deployment and orchestration. Experience: 8+ years of experience in software development, with 3+ years in AI/ML or Generative AI projects. Demonstrated experience in deploying and managing AI applications in production environments. Proven track record of implementing DevOps best practices and automation strategies.

Primary skill Gen AI developer Secondary skill Model hosting LLM knowledge. Ability to stay updated with the latest advancements in generative AI research and incorporate them into work. -Advanced programming knowledge, including mastery of programming languages such as Python, and especially AI-centric libraries like TensorFlow, PyTorch, and Keras. This includes the ability to implement and manipulate complex algorithms fundamental to developing generative AI models. -Expertise in generative models such as generative adversarial networks (GANs) and variational autoencoders (VAEs). The candidate should be able to design, train, and optimize these models to generate high-quality, creative content. -Natural language processing (NLP) for text generation projects. This includes familiarity with techniques for text parsing, sentiment analysis, and the use of transformers like GPT (generative pre-trained transformer) models. -Model hosting LLM knowledge -Ability to design and implement scalable and efficient AI systems. -Advanced knowledge of natural language processing for text generation tasks. -Familiarity with computer vision and image generation using AI. Akshay : Ignore -Skills in data preprocessing and feature engineering for AI model training. -Strong understanding of neural network architectures and optimization techniques.

The Company India's marquee global technology & consulting company. They are an international flag-bearer of technical and managerial excellence. With offices around the globe, the company has a comprehensive presence across multiple segments of the technology product and service industries as well as a blue-chip roster of clients for their Consulting engagements. They are a respected career company and a long-term wealth creator. The Job We are seeking an experienced 3+ years of IT experience ( 2 Years in AI/ML/DS Domain). Gen AI Development : Data collection and preparation: Collect and prepare data for training and evaluating LLMs. This may involve cleaning and processing text data, or creating synthetic data. Model development: Design and implement LLM models. This may involve choosing the right architecture, training the model, and tuning the hyperparameters. Model evaluation: Evaluate the performance of LLM models. This may involve measuring the accuracy of the model on a held-out dataset, or assessing the quality of the generated text. Model deployment: Deploy LLM models to production. This may involve packaging the model, creating a REST API, and deploying the model to a cloud computing platform. Responsible AI: Should have proficient knowledge in Responsible AI and Data Privacy principles to ensure ethical data handling, transparency, and accountability in all stages of AI development. Must demonstrate a commitment to upholding privacy standards, mitigating bias, and fostering trust within data-driven initiatives. Experience in working with ML toolkit like R, NumPy, MatLab etc.. Experience in data mining, statistical analysis and data visualization Your Profile Roles and Responsibility: LLM Development/Deployment Pipeline creation, workflows Study and transform Gen AI PoCs to production grade deployment Design machine learning systems, Run machine learning tests and experiments Research and implement appropriate ML algorithms and tools Develop machine learning applications according to requirements Select appropriate datasets and data representation methods Perform statistical analysis and fine-tuning using test results Train and retrain systems when necessary

About the Role: We are seeking a highly skilled and motivated Senior Data Scientist with 56 years of experience to drive the development of intelligent AI systems. This role requires extensive hands-on experience with Large Language Models (LLMs) , strong background in Agentic AI , Machine Learning , and Python programming . You will work on designing autonomous agents, building scalable ML pipelines, and integrating advanced LLM-powered solutions into real-world products. Key Responsibilities: Architect and implement agentic AI systems that use LLMs for autonomous reasoning, planning, and multi-step task execution. Lead the development, fine-tuning, evaluation, and deployment of Large Language Models (LLMs) using frameworks like Hugging Face Transformers, LangChain, LLM orchestration tools, and vector databases. Develop ML models using supervised, unsupervised, and reinforcement learning techniques, and integrate them into production environments. Design and build end-to-end machine learning pipelines, including data ingestion, feature engineering, training, and deployment. Optimize model performance and latency in real-world applications and implement model monitoring and retraining strategies. Collaborate with cross-functional teams including product, engineering, and business to translate AI capabilities into product features. Mentor junior data scientists and contribute to the team's technical excellence and innovation. Required Skills & Experience: Contributions to open-source AI/ML projects or research publications related to LLMs or agent-based systems. Familiarity with LangChain, AutoGPT, CrewAI, or other agent orchestration frameworks. Experience with vector databases (e.g., FAISS, Pinecone) and knowledge of semantic search.Understanding of multi-agent collaboration, goal decomposition, and planning architectures. les, autonomous agents, and task orchestration. Experience with cloud platforms (AWS, GCP, or Azure) and scalable infrastructure for deploying AI models. Exposure to API development, ML model serving, and integration with real-time systems. Excellent communication and collaboration skills in cross-functional environments. Educational Qualification: Bachelor of Technology (B.Tech) in Computer Science, Data Science, Artificial Intelligence, or a related field from a recognized institution. Preferred Qualifications: Contributions to open-source AI/ML projects or research publications related to LLMs or agent-based systems. Familiarity with LangChain, AutoGPT, CrewAI, or other agent orchestration frameworks. Experience with vector databases (e.g., FAISS, Pinecone) and knowledge of semantic search. Understanding of multi-agent collaboration, goal decomposition, and planning architectures.

Key Responsibilities: Cloud AI Design and Development: Design, develop, and deploy AI/GenAI models and solutions using various cloud platforms (e.g., AWS SageMaker, Azure ML, Google Vertex AI) and frameworks (e.g., TensorFlow, PyTorch, LangChain, Vellum). Agentic AI: Develop and integrate agentic AI systems on cloud platforms, enabling autonomous decision-making and action-taking capabilities in AI solutions. Cloud-Based Vector Databases: Design and implement cloud-native vector databases (e.g., Pinecone, Weaviate, Milvus) or cloud-managed services for efficient similarity search and retrieval in AI applications. Model Evaluation and Fine-tuning: Evaluate and optimize cloud-deployed generative models using metrics like perplexity, BLEU score, and ROUGE score, and fine-tune models using techniques like prompt engineering, instruction tuning, and transfer learning. Security for Cloud LLMs: Implement robust security measures for cloud-based LLMs, including data encryption, IAM policies, network security, model watermarking, and compliance with cloud security best practices. Technical Leadership: Provide technical guidance and support to junior team members on cloud AI implementation, ensuring high-quality deliverables and adherence to best practices. Client Engagement: Collaborate with clients to understand their AI requirements, develop tailored solutions, and deliver high-quality results. Cloud Solution Architecture: Design scalable, efficient, and cost-effective cloud-based AI/GenAI architectures, considering factors like data quality, model performance, and serverless/container-based deployment options. Cloud Model Development: Develop and fine-tune AI/GenAI models using cloud services for specific use cases, such as natural language processing, computer vision, or predictive analytics. Testing and Validation: Ensure thorough testing and validation of AI/GenAI models, including performance evaluation, bias detection, and explainability. Deployment and Maintenance: Deploy AI/GenAI models in production environments, ensuring seamless integration with existing systems and infrastructure. Knowledge Sharing: Share knowledge and expertise with the team, contributing to the development of best practices and staying up-to-date with industry trends. Requirements: Education: Bachelor/Master's in Computer Science, AI, ML, or related fields. Experience: 8+ years of experience in engineering solutions, with a track record of delivering Cloud AI solutions. Technical Skills: Proficiency in cloud AI/GenAI services and technologies across major cloud providers (AWS, Azure, GCP) Experience with cloud-native vector databases and managed similarity search services Experience with security measures for cloud-based LLMs, including data encryption, access controls, and compliance requirements Programming Skills: Strong programming skills in languages like Python or R Cloud Platform Knowledge: Strong understanding of cloud platforms, their AI services, and best practices for deploying ML models in the cloud Communication: Excellent communication and interpersonal skills, with the ability to work effectively with clients and internal teams. Problem-Solving: Strong problem-solving skills, with the ability to analyse complex problems and develop creative solutions. Nice to have: Experience with serverless architectures for AI workloads Nice to have: Experience with ReactJS for rapid prototyping of cloud AI solution frontends

Experience implementing and validating predictive models using statistical and machine learning techniques Experience designing and implementing enterprise search applications such as Elasticsearch and Splunk Ability to work in Agile, collaborative environments with cross-functional teams Experience building data pipelines to cleanse, integrate, and prepare data for analysis Experience developing Proof of Concepts (POCs) to validate AI solutions Ability to document solution architectures, design decisions, and implementation details Familiarity with Gen AI tools for code refactoring, rewriting, and documentation Awareness of trends in AI, foundation models, and large language models Preferred technical and professional experience Experience and working knowledge in COBOL and Java Experience with code generation, matching, and translation using LLMs Growth mindset and ability to understand client business processes and challenges

Primary Responsibilities: Design and develop AI-driven web applications using Streamlit and LangChain. Implement multi-agent workflows with LangGraph. Integrate Claude 3 (via AWS Bedrock) into intelligent systems for document and image processing. Work with FAISS for vector search and similarity matching. Develop document integration solutions for PDF, DOCX, XLSX, PPTX, and image-based formats. Implement OCR and summarization features using EasyOCR, PyMuPDF, and AI models. Create features such as spell-check, chatbot accuracy tracking, and automatic re-training pipelines. Build secure apps with SSO authentication, transcript downloads, and reference link generation. Integrate external platforms like Confluence, SharePoint, ServiceNow, Veeva Vault, Outlook, G.Net/G.Share, and JIRA. Collaborate on architecture, performance optimization, and deployment. Required Skills: Strong expertise in Streamlit, LangChain, LangGraph, and Claude 3 (AWS Bedrock). Hands-on experience with boto3, FAISS, EasyOCR, and PyMuPDF. Advanced skills in document parsing and image/video-to-text summarization. Proficient in modular architecture design and real-time AI response systems. Experience in enterprise integration with tools like ServiceNow, Confluence, Outlook, and JIRA. Familiar with chatbot monitoring and retraining strategies. Secondary Skills: Working knowledge of PostgreSQL, JSON, and file I/O with Python libraries like os, io, time, datetime, and typing. Experience with dataclasses and numpy for efficient data handling and numerical process

Minimum 5 years of experience indesigning and developing AI/MLmodels and/or various optimization algorithms Solid foundation in mathematics, probability, and statistics with demonstrated depth of knowledge and experience in advanced analytics and data science methodologies (e.g. supervised and unsupervised learning, statistics, data science model development) Proficiency inPythonand working knowledge of cloud AI/ML services (Azure Machine Learning and Databricks preferred) , Gen AI & LLM Domain knowledge relevant to the energy sector and working knowledge of Oil and Gas value chain (e.g., upstream, midstream, or downstream) and associated business workflows. Proven ability to frame data science opportunities, leverage standard foundational tools and Azure services to perform exploratory data analysis (for purposes of data cleaning and discovery), visualize data, and identify actions to reach needed results. Ability to quickly assess current state and apply technical concepts across cross-functional business workflows. Experience with driving successful execution, deliverables, and accountabilities to meet quality and schedule goals. Ability to translate complex data into actionable insights that drive business value. Demonstrated ability to engage and establish collaborative relationships both inside and outside immediate workgroup at various organizational levels, across functional and geographic boundaries to achieve desired outcomes. Demonstrated ability to adjust behaviour based on feedback and provide feedback to others. Team-oriented mindset with effective communication skills and the ability to work collaboratively.

please fill the below details and share it to snidafazli@altimetrik.com Company: Altimetrik Client: Citi Bank JD: Python, Gen AI, Machine Learning, Pyspark, SQL, Django, AWS, Flask, Docker Name(as per aadhar card): Number: EmailID: Current CTC: Fixed CTC: Expected CTC: holding any offers: Current Company: Payroll Company: Notice PEriod: Mention exact LWD: Current Location: Preferred Location: Total Experience: Relevant Experience please mention in years below, Python: Pyspark: SQL: Django: AWS: Flask: Docker: GenAI: ML:

We have openings for Python & Gen AI, those who can attend interview in chennai can share their profile with kalaiavni.Ranganathan@nttdata.com.