491 Generative Ai Jobs - Page 4

Curious about the role ? Generative AI & NLP Development : Design, develop, and deploy advanced applications and solutions using Generative AI models (e.g., GPT, LLaMA, Mistral) and NLP algorithms to solve business challenges and unlock new opportunities for our clients. Model Customization & Fine-Tuning: Apply state-of-the-art techniques like LoRA, PEFT, and fine-tuning of large language models to adapt solutions to specific use cases, ensuring high relevance and impact. Innovative Problem Solving : Leverage advanced AI methodologies to tackle real-world business problems, providing creative and scalable AI-powered solutions that drive measurable results. Data-Driven Insights: Conduct deep analysis of large datasets, uncovering insights and trends that guide decisionmaking, improve operational efficiencies, and fuel innovation. Cross-Functional Collaboration: Work closely with Consulting, Engineering, and other teams to integrate AI solutions into broader business strategies, ensuring the seamless deployment of AI-powered applications. Client Engagement: Collaborate with clients to understand their unique business needs, provide tailored AI solutions, and educate them on the potential of Generative AI to drive business transformation. What do we expect? Generative AI & NLP Expertise: Extensive experience in developing and deploying Generative AI applications and NLP frameworks, with hands-on knowledge of LLM fine-tuning, model customization, and AI-powered automation. Hands-On Data Science Experience: 6+ years of experience in data science, with a proven ability to build and operationalize machine learning and NLP models in real-world environments. AI Innovation: Deep knowledge of the latest developments in Generative AI and NLP, with a passion for experimenting with cutting-edge research and incorporating it into practical solutions. Problem-Solving Mindset: Strong analytical skills and a solution-oriented approach to applying data science techniques to complex business problems. Communication Skills: Exceptional ability to translate technical AI concepts into business insights and recommendations for non-technical stakeholders.

Role & responsibilities: : Define and own the AI transformation strategy across the enterprise, aligned with business priorities and Group ITs digital roadmap. Identify, prioritize, and drive AI use cases that deliver measurable value across functions (e.g., R&D, supply chain, commercial, operations). Establish governance and standards for responsible AI development and usage (e.g., ethical frameworks, data privacy, model lifecycle management). Lead cross-functional teams to design, pilot, and scale AI solutionspartnering with data scientists, engineers, business analysts, and IT delivery teams. Act as a trusted advisor to senior leaders on AI trends, capabilities, and value potential, translating complex concepts into actionable insights. Develop and mature AI capabilities across the organization, including platform selection, talent development, and operating model evolution. Foster a culture of innovation and experimentation, championing AI literacy and embedding agile, data-driven thinking into the organization. Monitor industry trends and emerging technologies, bringing external perspective to shape internal AI innovation. Preferred candidate profile: Proven experience in leading AI, data science, or digital transformation programs at scale. Strong understanding of AI/ML technologies, enterprise IT environments, and data ecosystems. Demonstrated ability to bridge strategy and execution, with a track record of delivering business outcomes through AI. Excellent stakeholder management and communication skills, especially with non-technical audiences and executive leadership Experience in regulated industries (e.g., life sciences, finance, healthcare) is an advantage. Bachelor's or masters degree in computer science, Data Science, Engineering, or related field. MBA or equivalent business qualification is a plus.

Educational Requirements Bachelor of Engineering Service Line Infosys Quality Engineering Responsibilities Implement Generative AI based solutions using Infosys and Industry standard tools and platforms Implement prompt engineering techniques to evaluate model behavior under various input conditions and refining prompts for better accuracy and desired results. Perform AI assurance to test AI infused applications Work closely with cross-functional teams to ensure prompts align with company objectives and user experience. Identify and report bugs, performance bottlenecks, and safety issues. Stay up-to-date with the latest advancements in Generative AI and testing methodologies. Identify and report bugs, performance bottlenecks, and safety issues. Technical and Professional Requirements: Bachelors degree in computer engineering or equivalent 3-5 years of experience in any of the fields -software development, software testing, Test Automation Proficiency in Python or experience with other automation frameworks used in testing (e.g., Selenium, Playwright, etc.). Experience with cloud platforms like AWS, Azure, or GCP. Experience with prompt engineering and evaluating the performance of large language models (LLMs). Experience in Generative AI based solution implementation Preferred Skills: Technology->Machine Learning->Generative AI Technology->Machine Learning->AI/ML Solution Architecture and Design->generative ai

Build and integrate solutions using LLMs and Generative AI frameworks . Apply prompt engineering techniques to optimize LLM outputs for various use cases. Fine-tune pre-trained models to align with domain-specific requirements. Work with Azure OpenAI for deploying, scaling, and managing LLM workloads. Understand and implement deep learning architectures like CNNs and RNNs as required for multimodal and NLP tasks. Write clean and modular code to support experimentation and productization of AI models. Collaborate with data scientists, engineers, and business teams to convert problem statements into technical solutions. Stay updated with the latest trends and research in LLMs , deep learning , and Generative AI . Strong logical thinking and problem-solving abilities. Proficiency in Python and ML/NLP libraries (e.g., PyTorch, TensorFlow, Hugging Face). Hands-on experience with Generative AI and LLMs (e.g., GPT, LLaMA, Mistral). Knowledge of prompt engineering strategies for improving model interaction. Experience with Azure OpenAI services (deployment, model management). Understanding of deep learning models like CNN , RNN , and attention mechanisms. Exposure to vector databases , LangChain , or RAG pipelines . Experience in model fine-tuning , quantization, or training from scratch. Familiarity with ML workflows, data preprocessing, and evaluation metrics.

About this role: Wells Fargo is seeking a Principal Engineer to drive the design, development, and implementation of Artificial Intelligence (AI) enabled applications aligned to employee-facing lines of business in Enterprise Functions Technology (EFT). The EFT AI team will focus on building intelligent, efficient, and user-centric tools to accelerate the work of users in Finance, Human Resources, Risk, Audit, Legal, Public Affairs, Diverse Segments and EFT Platform Technology. In addition to hands-on development, this role will play a key part in evolving the AI operating model for both horizontal (cross product/platform) and vertical support (product specific). As a key technical contributor, you will collaborate with cross-functional teams to align solutions with the mission of transforming the Wells Fargo employee experience. This role will be a key contributor to shaping AI infrastructure, governance, and automation frameworks, working closely with cross-functional partners in technology, product management, and operations. The horizontal focus of this role will support AI platform scalability, reliability and AI governance, ensuring alignment across EFT, while the vertical focus will support specific applications and their integration within business domains. The successful candidate will have a deep expertise in AI engineering, cloud-based AI deployment, and AI model lifecycle management, along with experience in architecting AI solutions that align with responsible principles and enterprise business objectives. This is a unique opportunity to lead AI engineering efforts while shaping the AI operating model. In this role, you will: Design, develop and optimize Gen AI applications using agentic frameworks and tools Accelerate end to end solution delivery timelines by developing automated data, prompting and evaluation pipelines Streamline the enablement of AI solutions by building solution blueprints, re-usable patterns and identifying process improvements Lead AI engineering efforts that drive the design, development, scalability, and evolution of AI-powered products, ensuring AI adoption. Research and guide engineering efforts to solve complex engineering challenges and balance accuracy, latency and cost Evolve the AI operating model, ensuring seamless integration of AI solutions into business domains while providing horizontal AI governance and infrastructure support. Develop automated AI model monitoring frameworks, enabling continuous model updates, explainability, and performance tracking. Develop and scale AI platforms leveraging Large Language Model (LLM) services, real time analytics, AI automation, and intelligent decision-making. Act as an advisor and collaborate with leadership to integrate AI into existing enterprise systems and cloud platforms to implement innovative and significant business solutions. Drive cross-functional collaboration to define AI roadmaps, infrastructure strategies, and product enhancements, ensuring AI capabilities align with business AI strategies. Lead the strategy and resolution of highly complex and unique challenges requiring in-depth evaluation across multiple areas or the enterprise, delivering solutions that require vision, creativity, innovation, and advanced analytical and thinking. Maintain knowledge of industry best practices and new technologies and recommend 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. Responsible for meticulous governance to address the unique risks posed by GenAI. Required Qualifications: 7+ years of Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education 7+ years of engineering experience building and supporting large scale customer facing products using modern technologies 3+ years building and delivering products using AI technologies. Desired Qualifications: Strong expertise in AI model development and deployment with a strong background in LLMs, generative AI, and AI-engineering. Deep experience with generative AI models, including model prompting, tuning, and safety best practices. Expertise in solution architecture and applying modular design techniques to agentic workflows Solid grasp of data and error analysis, identifying issues and patterns throughout the AI pipeline Strong expertise in test or eval driven development, ensuring robust and scalable AI software. Experience in backend application software development, with ability to quickly adapt to C#, and Python code bases. Strong understanding of Retrieval-Augmented Generation (RAG), knowledge graphs and agentic workflows. Deep knowledge of AI infrastructure, Generative AI Operations, and enterprise-scale AI adoption strategies. Familiarity with enterprise-scale software systems and their integration within large organizations. Passion for building AI solutions that deliver a seamless, end-user-focused experience. Experience in enterprise AI model lifecycle management, AI compliance, and risk mitigation strategies. Strong understanding of human centered AI design for workplace applications. Excellent collaboration, communication, and problem-solving skills. Job Expectations: Lead projects, teams, and serve as a peer mentor. Be Humble: You're smart yet always interested in learning from others Work Transparently: You always deal in an honest, direct, and transparent way. Take Ownership: You embrace responsibility and find joy in having the answers Learn More: You regularly self-educate and improve your skill set. Show Gratitude: You show appreciation and respect to those you work with.

Job Title: Product Manager AI, Cloud Products & CRM Solutions Location: Noida Experience Level: 3 - 5 years Employment Type: Full-time About the Role We are looking for a dynamic and results-driven Product Manager with hands-on experience in both AI-powered solutions and CRM/enterprise software delivery. You will work directly with founders, engineering teams, and business stakeholders to deliver cloud-native, scalable, and user-centric products. This is an exciting opportunity to be at the forefront of innovation across Generative AI, cloud architecture, and enterprise systems. Key Responsibilities Product Strategy & Lifecycle Own the product lifecycle from ideation to launch and continuous improvement. Translate complex business requirements into detailed specs, wireframes, and user stories. Prioritize features using frameworks such as RICE, MoSCoW, and manage product roadmap. AI & Cloud Product Development Collaborate with tech leads to build Generative AI-powered tools (e.g., chatbots, agents, vector search). Stay updated with trends in LLMs, open-source models (OpenAI, Hugging Face, LangChain), and cloud ecosystems (AWS, Azure, GCP). Ensure product architecture supports scale, security, and performance. CRM / Enterprise Software Delivery Lead CRM or enterprise platform development aligned with business workflows. Manage requirements, sprints, backlog grooming, and QA processes to ensure delivery quality. Align technical and business teams to deliver scalable and robust CRM systems. Agile Project Management Facilitate Agile ceremonies: sprint planning, stand-ups, retrospectives. Track sprint goals, blockers, and progress; ensure timely delivery. Manage stakeholder expectations, sprint backlogs, and milestone reviews. Cross-functional Collaboration Work with UI/UX, engineering, QA, DevOps, and data teams to ensure product-market fit. Bridge communication between business stakeholders and development teams. Ensure cohesive delivery aligning with SDLC, Agile, and DevOps practices. Risk, Budget & Quality Management Identify project risks early and implement mitigation plans. Manage project budgets, timelines, and resource allocation efficiently. Conduct UAT and post-launch analysis to refine the product. Required Skills & Qualifications Must-Have: 3 to 5 years of experience as a Product Manager or Project Manager in AI/Tech/CRM domains. Strong understanding of Generative AI (LLMs, RAG, LangChain, OpenAI, Hugging Face, etc.). Solid grasp of SDLC and Agile methodologies (Scrum, SAFe). Technical familiarity: front-end (React, Flutter), back-end (Node.js, Python, Laravel), cloud (AWS, GCP, Azure), APIs. Strong analytical and wireframing skills (Figma, Miro). Excellent communication, documentation, and stakeholder management. Good-to-Have: Experience in 0-to-1 product development or startup environments. Exposure to DevOps, MLOps, or LLMOps pipelines. Certifications such as PMP, CSM, SAFe Agile, or PRINCE2. Experience using tools like Jira, Notion, Trello, GitHub Projects, Postman. Why Join Us? Work directly with founder on visionary AI products. Be a key decision-maker in shaping the next-gen legal, CRM, or data intelligence platforms. Ownership, autonomy, and opportunity to scale the product globally. Competitive compensation + equity options.

Role & responsibilities Develop, test, and maintain backend services using Python and frameworks such as FastAPI or Flask . Implement and optimize LLM-based applications using models like OpenAI (GPT-4o) , Gemini , LLaMA , etc. Work on RAG implementations , including integration with vector databases and prompt engineering strategies. Design, build, and maintain database connectivity using SQL for infrastructure-level applications. Develop and deploy containerized applications using Docker , Git , GitHub , and integrate with CI/CD pipelines . Deploy and manage applications on cloud platforms ( AWS , Azure , GCP ). Ensure clean code practices including unit testing , error handling , Python best practices , and design patterns . Collaborate with cross-functional teams including Product, Data Science, and DevOps for end-to-end solution delivery. Preferred candidate profile Strong proficiency in Python programming . Familiarity with FastAPI , Flask , or similar web frameworks. Experience with SQL databases and connection management. Hands-on with LLMs and RAG workflows (OpenAI GPT, Gemini, LLaMA, etc.). Understanding of vector databases such as FAISS, Pinecone, or similar. Proficiency with Git , GitHub , and CI/CD pipelines . Experience with Docker for containerization. Exposure to any of the major cloud platforms AWS , Azure , or GCP . Ability to write unit test cases , implement robust error handling , and follow design patterns . Clear understanding of enterprise software development best practices . Someone who have experience working with Banking or Financial Services projects/clients. Immediate Joiner or someone serving notice period.

Total experience 7+ Years. Deep understanding of Generative AI fundamentals and transformer-based architectures. Strong experience in Cloud Architecture (e.g., AWS, Azure, GCP) for deploying scalable AI systems. Proven experience with BERT, GPT, LLaMA, and similar LLMs. Strong hands-on experience in prompt engineering and RAG techniques. Experience in fine-tuning and deploying models using frameworks like Hugging Face Transformers, LangChain, or equivalent. Familiarity with multi-agent AI systems and collaborative model workflows. Proficient in Python and machine learning libraries (e.g., PyTorch, TensorFlow). Strong problem-solving skills and a passion for AI innovation and ethical development. Experience integrating models into enterprise platforms and APIs. Understanding of ML Ops practices and CI/CD pipelines for AI deployment. Background in Natural Language Processing (NLP) and Knowledge Engineering. Excellent communication skills, with the ability to articulate solutions effectively. RESPONSIBILITIES: Understanding the clients business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements. Mapping decisions with requirements and be able to translate the same to developers. Identifying different solutions and being able to narrow down the best option that meets the clients requirements. Defining guidelines and benchmarks for NFR considerations during project implementation Writing and reviewing design document explaining overall architecture, framework, and high-level design of the application for the developers Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed. Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it Understanding and relating technology integration scenarios and applying these learnings in projects Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken. Carrying out POCs to make sure that suggested design/technologies meet the requirements.

Total experience 7+ Years. Deep understanding of Generative AI fundamentals and transformer-based architectures. Strong experience in Cloud Architecture (e.g., AWS, Azure, GCP) for deploying scalable AI systems. Proven experience with BERT, GPT, LLaMA, and similar LLMs. Strong hands-on experience in prompt engineering and RAG techniques. Experience in fine-tuning and deploying models using frameworks like Hugging Face Transformers, LangChain, or equivalent. Familiarity with multi-agent AI systems and collaborative model workflows. Proficient in Python and machine learning libraries (e.g., PyTorch, TensorFlow). Strong problem-solving skills and a passion for AI innovation and ethical development. Experience integrating models into enterprise platforms and APIs. Understanding of ML Ops practices and CI/CD pipelines for AI deployment. Background in Natural Language Processing (NLP) and Knowledge Engineering. Excellent communication skills, with the ability to articulate solutions effectively. RESPONSIBILITIES: Understanding the clients business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements. Mapping decisions with requirements and be able to translate the same to developers. Identifying different solutions and being able to narrow down the best option that meets the clients requirements. Defining guidelines and benchmarks for NFR considerations during project implementation Writing and reviewing design document explaining overall architecture, framework, and high-level design of the application for the developers Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed. Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it Understanding and relating technology integration scenarios and applying these learnings in projects Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken. Carrying out POCs to make sure that suggested design/technologies meet the requirements.

Total experience 7+ Years. Deep understanding of Generative AI fundamentals and transformer-based architectures. Strong experience in Cloud Architecture (e.g., AWS, Azure, GCP) for deploying scalable AI systems. Proven experience with BERT, GPT, LLaMA, and similar LLMs. Strong hands-on experience in prompt engineering and RAG techniques. Experience in fine-tuning and deploying models using frameworks like Hugging Face Transformers, LangChain, or equivalent. Familiarity with multi-agent AI systems and collaborative model workflows. Proficient in Python and machine learning libraries (e.g., PyTorch, TensorFlow). Strong problem-solving skills and a passion for AI innovation and ethical development. Experience integrating models into enterprise platforms and APIs. Understanding of ML Ops practices and CI/CD pipelines for AI deployment. Background in Natural Language Processing (NLP) and Knowledge Engineering. Excellent communication skills, with the ability to articulate solutions effectively. RESPONSIBILITIES: Understanding the clients business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements. Mapping decisions with requirements and be able to translate the same to developers. Identifying different solutions and being able to narrow down the best option that meets the clients requirements. Defining guidelines and benchmarks for NFR considerations during project implementation Writing and reviewing design document explaining overall architecture, framework, and high-level design of the application for the developers Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed. Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it Understanding and relating technology integration scenarios and applying these learnings in projects Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken. Carrying out POCs to make sure that suggested design/technologies meet the requirements.

Position Title Head (AI/ML) Reporting to CTO and Founder, Advisory Board. Job locations - Gurugram Role Description This is a full-time on-site role for a Head (AI/ML) in Gurugram. The Head will be responsible for leading the AI/ML strategy and implementation, overseeing software development, managing IT projects, defining IT strategies and architectures, and driving product development initiatives. The candidates should be at least 10 years experience with 3-5 year in the field of AI/ML. Exposure to healthcare will be added advantage. Qualifications Software Development skills Project Management skills IT Strategy and Architecture expertise Product Development experience Strong background in AI/ML technologies Excellent leadership and communication skills Ability to collaborate with cross-functional teams Experience in the healthcare IT industry is a plus Master's degree in Computer Science or related field Education qualification Master in Computer Science or equivalent Experience range 10 years with 3 4 year in AI/ML Mandatory skills, domain etc Please submit your resume along with a cover letter highlighting your relevant experience and skills & other details like Current CTC (fixed plus variable) Offer in hand (fixed plus variable) Expected CTC Notice period Current Location Open to work from office at Gurgaon Experience in Healthcare domain( good to have) Hands on experience and self rating in the scale of 10 , 10 being the maximum 1. GenAI 2. Predictive AI 3. LLM 4. DL 5. NLP 6. Computer vision/ Assuring you of the best assistance in search of the right career opportunity Thanks & Regards, Surender Intelli Search Services Pvt Ltd, Email: sp@intellisearchonline.net Mobile: 9590270707

Job Title: Generative AI Specialist Experience: Total 7+ Years | Relevant - 3 to 5 Years Location: Hyderabad Employment Type: Full-Time Job Description We are seeking a highly skilled and innovative Generative AI Engineer to join our team. The ideal candidate will have a strong background in designing, developing, and deploying AI models, particularly in the domain of generative AI and large language models (LLMs). Key Responsibilities Design & Development: Architect and build generative AI models, algorithms, and frameworks. Model Implementation: Integrate AI models into existing systems and applications. LLM Expertise: Work with tools like LangChain, Haystack, and apply prompt engineering techniques. Data Handling: Preprocess and analyze data for model training and evaluation. Cross-functional Collaboration: Partner with data scientists, product managers, and other stakeholders. Testing & Deployment: Evaluate model performance and deploy models to production. Monitoring & Optimization: Track model performance and continuously improve results. Research & Innovation: Stay updated with the latest advancements in generative AI. Required Skills Proficiency in Python for AI development. Strong understanding of Generative AI , NLP , and LLMs . Experience with RAG pipelines and vector databases . Familiarity with frameworks like LangChain , Haystack , and other open-source libraries. Knowledge of prompt engineering and tokenization . Experience in fine-tuning and integrating AI models in production. Excellent communication and problem-solving skills. Optional Skills Experience with cloud platforms (GCP, AWS, Azure). Familiarity with MLOps and DevOps practices. Why Join Us? Work on cutting-edge AI technologies. Collaborate with a passionate and talented team. Opportunity to innovate and shape the future of AI applications. How to Apply Interested candidates can apply directly through Naukri or send your updated resume to shilpa.shapur@Excelra.com

We are seeking an experienced Python Developer to contribute to the design and development of Generative AI-based applications. The ideal candidate will have strong backend development skills with experience in modern frameworks and a good understanding of AI integration. Key Responsibilities: Develop and maintain Python-based applications using FastAPI and Django Build and scale RESTful APIs for enterprise applications Collaborate with frontend teams using React JS and Kendo UI Ensure secure integration with authentication systems like Entra ID and Keycloak Design, implement, and optimize PostgreSQL databases Participate in troubleshooting, debugging, and performance tuning (Optional) Work with Large Language Models (LLMs) and Vector Databases. Location - Chennai/Bangalore/Hyderabad/Noida.

Overview The Executive Vice President of the Data Intelligence Group will lead, mentor, and develop a team of Associates and Analysts. This role involves overseeing and driving initiatives related to data migration, data management, architecture, and advanced analytics for our clients. We seek a strategic leader with a proven track record in managing large-scale data projects, advanced analytics, and expertise in Big Data technologies. The ideal candidate will have deep knowledge in Machine Learning (ML), Artificial Intelligence (AI), and a foundational understanding of Generative AI. This position offers a dynamic path for learning and growth, with high exposure to stakeholder management and client engagement. Key Responsibilities: Lead and manage large-scale data migration projects, ensuring successful execution and stakeholder satisfaction Develop and implement data management strategies and architectural frameworks that support business objectives Oversee advanced analytics initiatives, leveraging data to inform strategic decision-making Consult and interact regularly with clients, acting as a thought partner to understand their needs and drive value Collaborate with cross-functional teams to deploy ML models and AI solutions that drive innovation and efficiency Manage teams working across multiple projects for different clients, ensuring high performance and effective collaboration Foster a culture of continuous improvement, encouraging the team to adopt best practices in data engineering and analytics Mentor and develop team members, nurturing talent in areas such as NLP, predictive analytics, and LLMs Stay abreast of industry trends and technologies, ensuring the organization remains competitive in data analytics and management Familiarity with a variety of data-related fields, including but not limited to: Data Engineering and Management Artificial Intelligence (ML, Deep Learning, Generative AI) Cloud Architecture and Analytics (Azure, AWS, GCP) DevOps and Platform Engineering Software Development and Application Architecture Business Intelligence Solutions (Power BI, Tableau) Qualifications 10+ years of experience in data management, solution architecture, analytics, and project oversight Proven experience in managing large-scale data migration and complex analytics projects Strong experience in cloud architecture and solution design Strong background in Machine Learning, AI, and Generative AI Experience in the BFSI sector is preferred Education Bachelors degree in Technology (B.Tech) or Master of Computer Applications (MCA) is required; MBA or MS preferred Compensation The compensation structure will be as per industry standard

We are looking for a Lead Machine Learning Engineer to join the Data Science team with the athena.intelligence division. You will be responsible for the end-to-end development and deployment of machine learning models across a variety of healthcare products and domains, develop roadmaps for development and implementation of data science initiatives, and work collaboratively to influence product and engineering stakeholders. About you: You love to own important work and find it difficult to turn down a good challenge. You have a strong track record of development and evaluation of ML models, and leading projects or teams in development of ML models. You excel at building relationships and influencing at senior leadership levels and possess an eagerness to learn and disseminate new knowledge. You have strong communication skills and enjoy working with colleagues from a variety of technical and non-technical backgrounds. Finally, you have a strong interest in improving healthcare. About the team The data science team is bringing machine learning to bear against the hardest problems in healthcare. We are working with product and engineering leaders across the company to build machine learning into our Best In KLAS suite of products. We work hand-in-hand with platform engineers to deploy state-of-the-art machine learning models using cloud technologies. Job Responsibilities As a leader of the Data Science team, you are expected to stay abreast and evaluate the latest in data science technologies and determine how to incorporate these into our data science best practices . Integrate with and broadly support the data science team in executing developed roadmaps; identify and document project dependencies; coordinate efforts across the team to ensure completion and effectiveness Contribute to the training and development of junior staff members Develop and follow conventions and best practices for modeling, coding, architecture, and statistics; hold other team members accountable for doing so Contribute to the development of internal tools and data science team standards Work collaboratively across the Infrastructure, Platform, UX, and Product organizations to ensure alignment towards business goals Typical Qualifications: Advanced degree (PHD, MS) in relevant field. For example, but not limited to: math, computer science, computer science, data science 8+ years of professional experience designing, building, training, deploying and evaluating machine learning models in production software environments at scale Experience with development and implementation of Deep Learning Models with complex neural network architectures is a bonus Experience with training & fine tuning LLMs & GenAI models is a bonus. Experience collaborating with cross functional teams or leading cross functional efforts Proficiency with python strongly preferred Have strong NLP skills or computer vision experience, AWS experience strongly preferred

Role & responsibilities IT developer OJT(On The JOB Training) with AI, Web, Mobile, AI, Android, Flutter, PHP, REACT-NODE, python-django & ML/DL Internships are available For NON IT graduates, we will train you in live AI/IOT/Web/Mobile projects of USA startups. Full time opportunity after Successful Internships. Additional training will be provided for freshers along with 2 year Master degree & 3 year degree enrollments. Preferred candidate profile Fast & SLOW self learner programs. Good understanding of Accounting, healthcare and business application exposure is required.

Job Overview: We are seeking a highly skilled and dynamic Automation Engineer to lead the automation of MIS reporting dashboards and the integration of Generative AI (Gen AI) agents across key organizational workflows. This role blends technical automation with innovative AI integration to enhance business intelligence, customer support, product quality testing, and internal process efficiency. Key Responsibilities: 1. Automation of MIS Reporting & Dashboards: Design, automate, and maintain MIS reporting processes to enhance decision-making. Build real-time automated dashboards across departments using integrated data sources. Consolidate data from databases, CRMs, ERPs, and other systems into streamlined reporting pipelines. Ensure data consistency, accuracy, and integrity in all dashboards and reports. Work with business stakeholders to close reporting gaps and inefficiencies . 2. Development & Integration of Gen AI Agents: Develop and deploy Generative AI agents to automate product workflows, support functions, and quality testing. Build AI-driven solutions for handling customer support inquiries , reducing manual workload. Integrate AI-based testing bots into CI/CD pipelines to ensure automated product quality assurance. Collaborate with product teams to identify opportunities for AI-driven automation across the organization. Continuously improve the performance and effectiveness of Gen AI agents based on feedback and business goals. 3. Cross-Team Collaboration: Work closely with data engineers , analysts , and business teams to align reporting and automation outputs with organizational needs. Collaborate with product managers , developers, and AI experts to embed AI into operational workflows. Act as a subject matter expert on automation tools and Generative AI applications. 4. Continuous Improvement & Optimization: Stay informed about the latest AI and automation technologies and industry trends. Identify improvement areas in current workflows and propose scalable automation solutions. Ensure performance, scalability, and cost-efficiency of all automation efforts. Required Skills & Qualifications: Technical Expertise: Automation Tools: Strong proficiency in automation frameworks for data extraction, transformation, and dashboard/report generation. AI/ML Knowledge: Deep understanding of Generative AI , machine learning algorithms , and related frameworks. Cloud & Databases: Hands-on experience with cloud platforms (AWS, GCP, Azure), SQL/NoSQL databases , and data warehouses. System Integration: Experience with API integrations , microservices , and automated workflow tools. Workflow Automation: Familiarity with tools like RPA , chatbots , and AI-based task automation. Soft Skills: Analytical Thinking: Excellent problem-solving abilities for complex automation and AI integration tasks. Communication: Strong verbal and written communication; able to convey technical topics to non-technical teams. Project Management: Ability to handle multiple projects, set priorities, and meet deadlines without compromising on quality. Adaptability: Self-driven learner comfortable with emerging tools and changing tech environments. Preferred Experience: Proven success in automating reporting systems and dashboards, ideally in a B2B SaaS or tech environment . Practical experience with Gen AI agent development and integration in customer support , QA , or workflow automation . Demonstrated ability to design scalable automation solutions in a cloud-first environment . Experience working with large datasets and data processing pipelines.

About the Role A key enabler of our services is leveraging data in delivering client solutions. As customer datasets grow richer and business challenges become more complex, ZS's Advanced Data Science function plays a central role in developing and delivering innovative solutions. This team focuses on: Researching evolving datasets and advanced analytical techniques to develop new offerings/solutions Delivering measurable client impact by implementing these solutions Providing thought leadership by shaping ZS's point of view in the data science space What You'll Do Lead and mentor a team of data scientists, ensuring delivery excellence across client engagements Design and implement advanced data science strategies that align with organizational goals Apply statistical, algorithmic, and visualization techniques to model complex business problems and uncover insights Drive business and strategy development through project delivery and client relationship management Develop and sell new business opportunities through data science-based solutions Oversee multiple projects, managing timelines, deliverables, and team performance Play a key role in developing scalable data science capabilities and reusable analytic platforms Motivate and coach team members; serve as a role model in fostering collaboration and continuous learning Contribute to thought leadership through research, publication, and innovation initiatives What You'll Bring PhD in Computer Science, Statistics, or a related field preferred (10+ years experience required in lieu of PhD) 8+ years of relevant work experience in data science, analytics, or AI Strong expertise in advanced analytics techniques such as predictive modeling, NLP, Gen AI, recommender systems, and social listening Hands-on experience with big data technologies and platforms (e.g., AWS, Azure) Proficiency in Python or R for statistical programming Experience managing agile projects and data science delivery across cross-functional teams Strong business acumen and a proven track record of developing client relationships and business development Previous experience in healthcare, pharma, or life sciences domains preferred Excellent communication skillsboth verbal and writtenwith the ability to present complex ideas to senior stakeholders A detail-oriented, research-driven mindset with strong critical thinking and problem-solving capabilities

KEY ACCOUNTABILITIES Drive projects along Supply Chain business processes; deep knowledge and working experience into Sourcing and External Supply Chain Management Serve as the technical SME on technology for GMI Supply Chain teams, uncovering key business questions and providing analysis, insights, and solutions to answer them. Work as an SME to define project requirements in collaboration with internal business clients/users; Establish best in industry practices for sourcing tools and eliminate gaps via partnership with D&T architects; communicate throughout the entire development process. Partner in developing new capabilities that leverage the Cloud /SAAS platforms. Work with a leadership mindset to own Sourcing / External Supply Chain Management processes Use external perspective and internal relationships to improve how we work and what we deliver keep abreast of what is happening within the Digital sourcing space. MINIMUM QUALIFICATIONS Education Full time graduation from an accredited university. Full time Bachelor s/master s degree in computer science/electronics, or any equivalent relevant discipline is preferred (Mandatory- Note: This is the minimum education criteria which cannot be altered) 10+ years of strong technical experience with Web based/ Cloud & Database technologies 5+ years of as Functional and Technical Analyst in requirements gathering, implementing, supporting IT /software solution. Strong Functional knowledge of Sourcing / Supply Chain processes especially in Global CPG/ FMCG industry Strong working knowledge of various Sourcing/ Procurement related tools & platforms, preferably SAP, Coupa, GCP Working knowledge of Generative AI/Intelligent Automation in Sourcing / Contract insights Strong verbal and written communication skills Solution oriented mindset with strong problem-solving & analytical skills Experience of leading & driving technical projects or teams PREFERRED QUALIFICATIONS Recent Hands-on experience with Supply Chain /ESC External Supply Chain Procurement/Finance transformation tools, platforms, process etc. Experience with real time system/data integrations, ETL & reporting technologies Excellent stakeholder management skills including leadership & vendors. Team player, self-driven individual. Ability to deal with ambiguous ask & situations Strong knowledge/Experience of SDLC with an Agile/SCRUM delivery experience Expert: SQL , ETL tech, Sourcing / External Supply Chain Processes, Problem Solving Intermediate: Data Lake / Warehousing, Analytical / Data Skills, Generative AI /Intelligent Automation, GCP-Bigquery Basic: Cloud, Tableau / Google Data Studio, SAP MM, DevOps CI/CD

Role & responsibilities Conduct comprehensive assessments of the organization's ML maturity, identifying strengths, weaknesses, and areas for improvement. Provide strategic recommendations to enhance the overall ML capability and align it with business objectives. Develop ML Ops roadmaps and establish robust processes for the end-to-end machine learning lifecycle, including data preparation, model training, deployment, and monitoring. Implement best practices in ML Ops to ensure efficiency, scalability, and reliability of ML systems. Implementation of Gen AI Solutions: Lead the design and implementation of state-of-the-art Generative AI solutions, leveraging deep learning frameworks such as TensorFlow and PyTorch. Drive innovation in Gen AI, staying abreast of the latest advancements and incorporating cutting-edge technologies into solutions. Preferred candidate profile Bachelor's or advanced degree in Computer Science, Data Science, or a related field. Over 8 years of hands-on experience in machine learning, with a focus on architecting end-to-end solutions. Proven expertise in conducting ML maturity assessments and developing ML Ops roadmaps. Hands-on experience in operationalizing the Machine learning system on a cloud and / or an On-Prem platform. Experience in implementing Generative AI solutions, including incubation, design, and deployment will be a big plus. Perks and benefits Best in the Industry Regards Supriya yadav 8377028382 supriya @mounttalent.com

Role & responsibilities Job location : - Bengaluru/Gurgaon/Mumbai/Pune/Hyderabad Participate in visioning workshop & develop innovative AI strategy & architecture frameworks tailored to the unique goals and aspirations of our clients, ensuring alignment with their evolving needs and preferences. Conduct comprehensive evaluations of clients' existing processes, technologies, and data ecosystems, uncovering opportunities for AI integration that resonate with Gen AI values and lifestyles. Align with industry & function teams, understand business problems, and translate it to AI & Analytics solutions! Develop target strategy with respect to AI & GEN AI needs along with Key initiatives & roadmap. Who are we looking for? Years of Experience: Candidates should typically have at least 5-8 years of experience in AI strategy, management, or a related field. This experience should include hands-on involvement in developing and implementing AI strategies for clients across various industries Education: A bachelors or masters degree in computer science, Data Science, Engineering, Statistics, or a related field. Perks and benefits Best in the Industry Regards Supriya yadav 8377028382

Title : Lead Data Scientist/ML Engineer (6+ years & above) Required Technical Skillset : (GenAI is must) Language : Python , PySpark Framework : Scikit-learn, TensorFlow, Keras, PyTorch, Libraries : NumPy, Pandas, Matplotlib, SciPy, Scikit-learn - DataFrame, Numpy, boto3 Database : Relational Database(Postgres), NoSQL Database (MongoDB) Cloud : AWS cloud platforms Other Tools : Jenkins, Bitbucket, JIRA, Confluence A machine learning engineer is responsible for designing, implementing, and maintaining machine learning systems and algorithms that allow computers to learn from and make predictions or decisions based on data. The role typically involves working with data scientists and software engineers to build and deploy machine learning models in a variety of applications such as natural language processing, computer vision, and recommendation systems. The key responsibilities of a machine learning engineer includes : - Collecting and preprocessing large volumes of data, cleaning it up, and transforming it into a format that can be used by machine learning models. - Model building which includes Designing and building machine learning models and algorithms using techniques such as supervised and unsupervised learning, deep learning, and reinforcement learning. - Evaluating the model performance of machine learning models using metrics such as accuracy, precision, recall, and F1 score. - Deploying machine learning models in production environments and integrating them into existing systems using CI/CD Pipelines, AWS Sagemaker - Monitoring the performance of machine learning models and making adjustments as needed to improve their accuracy and efficiency. - Working closely with software engineers, product managers and other stakeholders to ensure that machine learning models meet business requirements and deliver value to the organization. Requirements and Skills : Mathematics and Statistics : - A strong foundation in mathematics and statistics is essential. - They need to be familiar with linear algebra, calculus, probability, and statistics to understand the underlying principles of machine learning algorithms. Programming Skills : - Should be proficient in programming languages such as Python. - The candidate should be able to write efficient, scalable, and maintainable code to develop machine learning models and algorithms. Machine Learning Techniques : - Should have a deep understanding of various machine learning techniques, such as supervised learning, unsupervised learning, and reinforcement learning and should also be familiar with different types of models such as decision trees, random forests, neural networks, and deep learning. Data Analysis and Visualization : - Should be able to analyze and manipulate large data sets. - The candidate should be familiar with data cleaning, transformation, and visualization techniques to identify patterns and insights in the data. Deep Learning Frameworks : - Should be familiar with deep learning frameworks such as TensorFlow, PyTorch, and Keras and should be able to build and train deep neural networks for various applications. Big Data Technologies : - A machine learning engineer should have experience working with big data technologies such as Hadoop, Spark, and NoSQL databases. - They should be familiar with distributed computing and parallel processing to handle large data sets. Software Engineering : - A machine learning engineer should have a good understanding of software engineering principles such as version control, testing, and debugging. - They should be able to work with software development tools such as Git, Jenkins, and Docker. Communication and Collaboration : - A machine learning engineer should have good communication and collaboration skills to work effectively with cross-functional teams such as data scientists, software developers, and business stakeholders.

Job Title: Generative AI Engineer Location: Bangalore or Hyderabad Experience Required: 35 years (with 12 years in Generative AI/LLMs) Employment Type: Full-Time About the Role We are looking for a passionate and experienced Generative AI Engineer to join our AI/ML team. In this role, you will work with technologies like OpenAI, LLaMA, and Databricks-hosted models to design, build, and deploy real-world GenAI solutions. You’ll be involved in everything from feeding data into models, improving their performance, to integrating them into live products. Key Responsibilities Develop and deploy LLM-based solutions using GPT, LLaMA, or fine-tuned models Manage end-to-end GenAI projects from proof of concept to production Build scalable data pipelines for LLM training and inference Optimize model performance using prompt engineering, fine-tuning, DeepSpeed, and other techniques Host and manage models on Databricks and integrate them with data platforms Collaborate with data scientists, MLOps, and product teams to ensure AI solutions meet business goals Continuously enhance the performance, scalability, and usability of LLM-based systems Required Skills 3–5 years of engineering experience, with 1–2 years in Generative AI or LLMs Strong Python skills and experience with AI/ML frameworks Hands-on experience with OpenAI APIs, LLaMA models, LangChain, DeepSpeed Experience working with Databricks (Unity Catalog, MLflow) and AWS services (S3, EC2, Lambda) Good understanding of LLM architecture and model optimization techniques Proven track record in deploying real-world GenAI applications

Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients . Powered by our purpose - the relentless pursuit of a world that works better for people - we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. Inviting applications for the role of Principal Consultant , Generative AI + Agentic AI ! In this role, we are seeking a highly skilled and experienced AI Engineer with hands-on expertise in Generative AI, AWS Bedrock, Azure Open AI, Document Intelligence tools, Huggingface , Agentic AI, and Advanced Data Pipelines . It%27s platforms semantic kernel, autogen , langchain . Responsibilities Architect and implement advanced generative AI models, focusing on applications such as image and text generation, image and document extraction, RAG, Prompt engineering, and synthetic data generation. Advanced Prompt Engineering techniques. Stay at the forefront of AI/ML and generative AI advancements, driving the adoption of new technologies and best practices within the team. Develop, fine-tune, and optimize generative AI models, ensuring they meet performance, scalability, and business objectives . Firm grasp on tools to compare outputs of each model and compare against each other. Apply solid data science principles to enhance AI/ML models, using statistical analysis and machine learning techniques to improve model accuracy and efficiency. Work closely with data engineers, software developers, and product managers to integrate generative AI models into products and services, aligning with business objectives . Ensure that AI models are designed and deployed with ethical considerations, adhering to industry standards and regulatory requirements. Qualifications we seek in you! Minimum Q ualifications / Skills B achelor&rsquos or M aster&rsquos degree in computer science, AI, Machine Learning, Data Science, or a related field, with 5+ years of experience in AI/ML, particularly with generative AI models. Strong expertise in developing and deploying generative AI models. Proficiency in Python and experience with AI development libraries such as TensorFlow and PyTorch . Experience with Azure OpenAI, Open Source LLMs, and LangChain . Solid experience in applying data science principles, including statistical analysis, data preprocessing, and machine learning, to enhance AI/ML models. Preferred Q ualifications / Skills Familiarity with advanced techniques such as Retrieval-Augmented Generation (RAG), fine-tuning, prompt engineering, and zero-shot learning. Familiarity with NLP or computer vision related to generative AI applications. 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. For more information, visit Follow us on X , Facebook, LinkedIn, and YouTube. 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 .

Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose - the relentless pursuit of a world that works better for people - we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. Inviting applications for the role of Principal Consultant - Generative AI In this role, you will be responsible for creating cutting-edge artificial intelligence solutions that possess a broad understanding of diverse tasks and domains. You will contribute to the development of intelligent systems capable of adapting and learning across a wide range of applications. Responsibilities . experience in Cloud & Generative AI . Hands-on knowledge in Large Language Models from OpenAI, Meta, Google, Hugging Face etc. - demonstrate ability to implement solutions leveraging LLMs . Working knowledge of generative models, prompt engineering, fine-tuning - to implement innovative AI use cases . Collaborate with the architect to develop prototypes, conduct PoCs . Collaborate with service line teams to design, implement and manage Gen-AI solutions . Define and document best practices and strategies regarding deployment and infrastructure maintenance . Good understanding of AWS/Azure primarily focus on AI ecosystems such as Elasticsearch, Azure OpenAI/Cognitive services . Ability to write robust code in Python Java, React, RDBMS (Postgres) - Transactional and Analytical databases . (More than 1 language including Python is preferred) . Experience with Docker and Kubernetes . Experience with Agile Development. Qualifications we seek in you! Minimum Qualifications / Skills . BE/B.TECH . Strong understanding of generative AI models and algorithms. . Proficiency in at least one Generative AI Model (OpenAI ChatGPT, llama, Claude 2, etc.). Preferred Qualifications/ Skills . Self-starter . Highly motivated/passionate for new technologies, engineering mindset . Strong teamwork, problem-solving, and analytical skills . Good communication 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. Get to know us at www.genpact.com and on X, Facebook, LinkedIn, and YouTube. 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.