1443 Generative Ai Jobs - Page 36

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 Principal Consultant-Data Scientists with AI and Generative Model experience! We are currently looking for a talented and experienced Data Scientist with a strong background in AI, specifically in building generative AI models using large language models, to join our team. This individual will play a crucial role in developing and implementing data-driven solutions, AI-powered applications, and generative models that will help us stay ahead of the competition and achieve our ambitious goals. Responsibilities . Collaborate with cross-functional teams to identify , analyze , and interpret complex datasets to develop actionable insights and drive data-driven decision-making. . Design, develop, and implement advanced statistical models, machine learning algorithms, AI applications, and generative models using large language models such as GPT-3, BERT and also frameworks like RAG, Knowledge Graphs etc. . Communicate findings and insights to both technical and non-technical stakeholders through clear and concise presentations, reports, and visualizations. . Continuously monitor and assess the performance of AI models, generative models, and data-driven solutions, refining and optimizing them as needed. . Stay up-to-date with the latest industry trends, tools, and technologies in data science, AI, and generative models, and apply this knowledge to improve existing solutions and develop new ones. . Mentor and guide junior team members, helping to develop their skills and contribute to their professional growth. Qualifications we seek in you: Minimum Qualifications . Bachelor%27s or Master%27s degree in Data Science , Computer Science, Statistics, or a related field. . Experience in data science, machine learning, AI applications, and generative AI modelling. . Strong expertise in Python, R, or other programming languages commonly used in data science and AI, with experience in implementing large language models and generative AI frameworks. . Proficient in statistical modelling, machine learning techniques, AI algorithms, and generative model development using large language models such as GPT-3, BERT, or similar frameworks like RAG, Knowledge Graphs etc. . Experience working with large datasets and using various data storage and processing technologies such as SQL, NoSQL, Hadoop, and Spark. . Strong analytical, problem-solving, and critical thinking skills, with the ability to draw insights from complex data and develop actionable recommendations. . Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and explain complex concepts to non-technical stakeholders. Preferred Qualifications/ skills . Experience in deploying AI models, generative models, and applications in a production environment using cloud platforms such as AWS, Azure, or GCP. . Knowledge of industry-specific data sources, challenges, and opportunities relevant to Insurance . Demonstrated experience in leading data science projects from inception to completion, including project management and team collaboration skills. Why join Genpact Be a transformation leader - Work at the cutting edge of AI, automation, and digital innovation Make an impact - Drive change for global enterprises and solve business challenges that matter Accelerate your career - Get hands-on experience, mentorship, and continuous learning opportunities Work with the best - Join 140,000+ bold thinkers and problem-solvers who push boundaries every day Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let&rsquos build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color , religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training.

Roles and Responsibilities: As a, Data scientist / Senior Data scientist you will solve some of the most impactful business problems for our clients using a variety of AI and ML technologies. You will collaborate with business partners and domain experts to design and develop innovative solutions on the data to achieve predefined outcomes. Engage with clients to understand current and future business goals and translate business problems into analytical frameworks Develop custom models based on in-depth understanding of underlying data, data structures, and business problems to ensure deliverables meet client needs Create repeatable, interpretable and scalable models Effectively communicate the analytics approach and insights to a larger business audience Collaborate with team members, peers and leadership at Tredence and client companies Qualification: Bachelor's or Master's degree in a quantitative field (CS, machine learning, mathematics, statistics) or equivalent experience. 3+ years of experience in data science, building hands-on ML models Experience with LMs (Llama (1/2/3), T5, Falcon, Langchain or framework similar like Langchain) Candidate must be aware of entire evolution history of NLP (Traditional Language Models to Modern Large Language Models), training data creation, training set-up and finetuning Candidate must be comfortable interpreting research papers and architecture diagrams of Language Models Candidate must be comfortable with LORA, RAG, Instruct fine-tuning, Quantization, etc. Experience leading the end-to-end design, development, and deployment of predictive modeling solutions. Excellent programming skills in Python. Strong working knowledge of Pythons numerical, data analysis, or AI frameworks such as NumPy, Pandas, Scikit-learn, Jupyter, etc. Advanced SQL skills with SQL Server and Spark experience. Knowledge of predictive/prescriptive analytics including Machine Learning algorithms (Supervised and Unsupervised) and deep learning algorithms and Artificial Neural Networks Experience with Natural Language Processing (NLTK) and text analytics for information extraction, parsing and topic modeling. Excellent verbal and written communication. Strong troubleshooting and problem-solving skills. Thrive in a fast-paced, innovative environment Experience with data visualization tools — PowerBI, Tableau, R Shiny, etc. preferred Experience with cloud platforms such as Azure, AWS is preferred but not require Seniority Level Associate

Job description Looking for SDET/ Automation testing with Gen AI Testing Interested ones share CV and below details to snidafazli@altimetrik.com Name(as per aadhar card): Phone Number: EmailID: Current CTC: Fixed CTC: Expected CTC: holding any offers: Current Company: Payroll Company: Notice period: If serving Notice period, exact LWD: Current Location: Preferred location: Total years of experience: Relevant Experience below in years, SDET: Gen AI Testing: Python: Selenium: API Automation: Rest Assured: BDD: Cucumber:

Roles and Responsibilities : Design, develop, and maintain automated test scripts using Python and Selenium for web applications. Collaborate with cross-functional teams to identify defects and implement fixes in a timely manner. Develop data analysis tools using natural language processing techniques to analyze large datasets. Implement machine learning algorithms to improve the accuracy of automated tests. Job Requirements : 6-8 years of experience in software quality engineering or related field. Strong proficiency in Python programming language with expertise in automation testing using Selenium. Experience with natural language processing (NLP) concepts and machine learning algorithms. Familiarity with implementing automation frameworks for web applications.

Required Skills & Software Expertise Generative AI Tools: RunwayML Midjourney ChatGPT (Prompt Engineering, Content Generation) Stable Diffusion / DALL•E / Leonardo AI Large Language Model (LLM) Platforms such as Claude, Gemini, GPT-4, etc. Health insurance Provident fund

We are seeking an experienced Generative AI Engineer to design, develop, and optimize AI models for text, image, video, and audio generation. The ideal candidate should have expertise in deep learning, natural language processing (NLP), transformer models (GPT, BERT, LLaMA, etc.), and multimodal AI. This role involves working with large-scale datasets, fine-tuning AI models, and deploying scalable AI solutions. Key Responsibilities: Design, develop, and fine-tune Generative AI models for text, image, video, and audio synthesis. Work with transformer architectures such as GPT, BERT, T5, Stable Diffusion, and CLIP. Implement and optimize LLMs (Large Language Models) using Hugging Face, OpenAI, or custom architectures. Develop AI-powered chatbots, virtual assistants, and content generation tools. Work with diffusion models, GANs (Generative Adversarial Networks), and VAEs (Variational Autoencoders) for creative AI applications. Optimize AI models for performance, inference speed, and cost efficiency in cloud or edge environments. Deploy AI models using TensorFlow, PyTorch, ONNX, and MLflow on AWS, Azure, or GCP. Work with vector databases (FAISS, Pinecone, Weaviate) and embedding-based search techniques. Fine-tune models using RLHF (Reinforcement Learning with Human Feedback) for better alignment. Collaborate with data scientists, ML engineers, and product teams to integrate AI capabilities into applications. Ensure AI model security, bias mitigation, and ethical AI practices. Stay updated with the latest advancements in Generative AI, foundation models, and prompt engineering. Required Skills & Qualifications: 6+ years of experience in AI, machine learning, and deep learning. Strong expertise in Generative AI models and transformer architectures. Proficiency in Python, TensorFlow, PyTorch, and Hugging Face libraries. Experience with NLP, text embeddings, and retrieval-augmented generation (RAG). Knowledge of vector databases, embeddings, and scalable model serving (FastAPI, Triton, Ray Serve). Experience with GPU acceleration (CUDA, TensorRT, ONNX optimization) for AI workloads. Familiarity with cloud-based AI services like AWS Bedrock, Azure OpenAI, or Google Vertex AI. Strong understanding of data preprocessing, annotation, and model evaluation metrics. Experience working with large-scale datasets and distributed training techniques. Strong problem-solving skills and ability to work in Agile/DevOps environments. Preferred Qualifications: Experience with multimodal AI (text-to-image, text-to-video, speech synthesis). Knowledge of RLHF, prompt engineering, and AI-assisted code generation. Certifications in Machine Learning, AI, or Cloud AI services.

Mission: Were looking for a dynamic, forward-thinking Technology Enablement Lead to champion the use of modern systems—including, but not limited to, AI—to help every department across the company work more effectively. This role is about unlocking potential: identifying where technology can remove friction, boost productivity, and spark innovation, then making it happen. What You’ll Do: Drive Adoption of Smart Tools: Help teams across the organization discover and adopt tools like Microsoft 365 Copilot, ChatGPT, and other emerging platforms to improve how they work. Optimize Workflows: Collaborate with departments to streamline processes, reduce manual effort, and automate repetitive tasks using the right mix of technology. Enable Data-Driven Decisions: Support teams in using data and AI to uncover insights, track performance, and make smarter decisions. Upskill the Organization: Lead training, create playbooks, and offer hands-on support to build confidence and capability in using new tools. Be a Connector: Work cross-functionally with marketing, sales, operations, HR, finance, and more to identify opportunities for tech-driven improvements. Stay Ahead of the Curve: Continuously explore new technologies, trends, and best practices—and bring the most promising ones into the business. Report to Leadership: Work closely with the senior executive team to align enablement efforts with strategic priorities and report on impact. What You Bring: A strong grasp of AI, automation, and digital productivity tools Experience rolling out new technologies across diverse teams A passion for helping people work better through smart systems Excellent communication and change management skills A bias for action, curiosity, and a love of learning The ability to translate tech potential into real-world results Role & responsibilities Preferred candidate profile

Job Summary We are seeking highly skilled and motivated Data Scientists to join our dynamic team. The ideal candidate will be responsible for designing and implementing data-driven solutions that inform strategic decisions, improve customer experience, and drive business growth. Key Responsibilities Develop, test, and deploy predictive models and machine learning algorithms to solve business problems. Analyze large, complex datasets to extract actionable insights and trends. Collaborate with cross-functional teams (engineering, product, marketing, operations) to understand business requirements and deliver data solutions. Communicate findings and recommendations to stakeholders through visualizations, presentations, and reports. Build and maintain dashboards and analytical tools for ongoing monitoring and reporting. Clean, preprocess, and manage data pipelines for modeling and analytics. Evaluate model performance and continuously improve based on feedback and new data. Stay current with the latest developments in data science, machine learning, and analytics technologies. Requirements Education: Bachelors or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. Experience: Professional experience in data science, analytics, or a related field. Technical Skills: Strong programming skills in Python and/or R. Proficiency in SQL for data extraction and manipulation. Experience with machine learning frameworks (e.g., scikit-learn, XGBoost, TensorFlow, PyTorch). Familiarity with data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn). Experience with cloud platforms (e.g., AWS, GCP, Azure) is a plus. Knowledge of statistical techniques and their practical applications. Soft Skills: Excellent analytical and problem-solving skills. Strong communication and collaboration skills. Ability to work independently and manage multiple tasks and projects. Preferred Qualifications Experience with big data technologies (e.g., Spark, Hadoop). Knowledge of A/B testing and experiment design. Exposure to CI/CD practices and version control (e.g., Git). Experience working in an agile development environment.

We are looking for a skilled Python Developer with a strong background in web application development using frameworks like Django, Flask, and FastAPI. The ideal candidate should also possess hands-on experience in building Generative AI (GenAI) applications leveraging modern AI/ML libraries and frameworks such as LangGraph, LangChain, and LLMs, and integrating them with vector databases like Pinecone or PGVector. Key Responsibilities Web Development: Design, develop, and maintain scalable RESTful APIs using Django, Flask, or FastAPI. Build and deploy modern web applications that are performant, modular, and secure. Implement API authentication and authorization using OAuth2, JWT, or session-based approaches. Work with frontend teams to integrate APIs and ensure smooth end-to-end flows. Follow CI/CD and Git-based deployment workflows using tools like GitHub/GitLab, Jenkins, or Docker. GenAI Application Development: Build intelligent applications using LangGraph and LangChain for orchestrating LLM workflows Integrate OpenAI, Anthropic, HuggingFace, or custom LLMs into production workflows. Design and optimize RAG (Retrieval Augmented Generation) pipelines using vector databases such as Pinecone, PGVector etc Database and Backend Integration: Work with relational databases like PostgreSQL and MySQL. Write efficient and scalable queries for large-scale datasets. Experience with AWS/GCP/Azure is a plus. Required Skills Minimum of 3 years of experience application development using Python/django Proficient in developing and consuming RESTful API Experience with LangGraph, LangChain, and GenAI tools/workflows Experience with LLMs (OpenAI GPT-4, Claude, Llama, etc.) Good understanding of software design principles, code modularity, and version control (Git)

Role & responsibilities: Implement and integrate AI tools into business workflows and Automate tasks using no-code platforms and AI APIs. Integrate LLMs, vision models, and other pre-trained AI services (OpenAI, Hugging Face, Google Vertex AI) into internal systems. Deployment, Customization & Fine-tune foundation models using supervised learning, prompt engineering, and custom datasets. Build systems to extract structured data from PDFs and scanned documents using OCR, NLP, and document-understanding models. Design and optimize AI prompts for content generation, customer support, and business analytics. Knowledge in Agent2Agent, MCP Servers, Context Handling Cross-Functional Collaboration. Work with marketing, sales, support, and HR teams to identify and implement AI-driven process improvements. Monitor AI outputs for quality, compliance, and relevance. Ensure responsible and ethical AI usage. Preferred candidate profile: Bachelors/Masters in Computer Science, AI/ML, or related field. Strong programming skills in Python; experience with TensorFlow, PyTorch, Transformers, Scikit-learn. Hands-on experience with LLMs, prompt engineering, and model fine-tuning. Skilled in OCR and document parsing tools (e.g., Tesseract OCR, PDFMiner, LayoutLM, Azure Form Recognizer). Experience in workflow automation tools (e.g., Crew AI, LangChain). Knowledge of REST APIs, microservices, and containerization. Analytical mindset with a focus on process improvement. Perks and benefits: Competitive Salary and Professional development opportunities and training. Opportunity to work with cutting-edge technologies in a fast-paced environment. Collaborative and supportive work environment.

Russell Investments is actively hiring for Artificial Intelligence, Analyst for Mumbai, Goregaon (E) location. Interested applicants can share their updated resumes on rhule@russellinvestments.com Job Description This role is responsible for supporting and growing the AI strategy, platform and deliverables at Russell Investments. We are looking for a curious and analytical individual who will research, develop, implement, and maintain processes to meet the needs of our AI strategy and deliver on business objectives. This is an excellent opportunity to take advantage of emerging trends and technologies and make a real-world difference. Years of Experience Suitable candidates would have 2 - 5 years of programming/artificial intelligence experience along with some knowledge machine learning. Qualifications Bachelor's degree in Computer Science, Engineering, Finance, Economics, Statistics, or a related field. Advanced degree preferred. Proficient in Python and SQL (R or C# a plus) Exposure to TensorFlow, PyTorch and NLP Techniques. Proven experience in developing Generative AI applications Strong experience with Selenium, Beautiful Soup and/or other web crawling techniques Experience working with large-scale datasets for speech, video and text. Familiarity with Whisper models, speech-to-text, video intelligence, and chatbot frameworks. Experience with DevOps toolkit is a plus Strong analytical skill set with the ability to analyze complex data. Ability to read, analyze and interpret financial reports, tax documents, etc. Excellent problem-solving and debugging skills. Ability to work collaboratively in a fast-paced environment. Responsibilities Support and develop our Python code infrastructure Design and implement AI-powered speech and video processing solutions. Develop and optimize deep learning models for speech recognition, language modeling, and computer vision. Improve chatbot capabilities by integrating multimodal AI components. Create RAG workflows to ensure seamless AI tool integration. Stay updated with the latest AI research and bring innovative ideas to the team. Document workflows, models, and AI applications to ensure scalability and reproducibility. Work closely with business units to understand projects requirements and deliver solutions that meet business objectives Troubleshoot, debug and optimize code to ensure high performance and reliability of AI applications Stay abreast of the latest developments in AI, integrating new technologies into projects as appropriate Stay familiar with ethical AI and web scraping principles

Job Title: Data Scientist AI/ML, Generative AI & Databricks Experience: 2-3 Years; 3-5+ Years Employment Type: Full-Time Job Description: We are seeking a highly skilled and experienced Senior Data Scientist who thrives at the intersection of Machine Learning, Generative AI, and Cloud-native MLOps. The ideal candidate will have hands-on experience building end-to-end AI/ML models, working with Large Language Models (LLMs), deploying solutions at scale, and leveraging the full potential of the Databricks ecosystem. Responsibilities: Design, build, and deploy scalable machine learning and AI models using Databricks, from ideation to production. Develop and fine-tune Generative AI and LLM-based solutions for use cases such as summarization, text generation, and synthetic data generation. Drive MLOps best practices using tools like MLflow, Delta Lake, and Unity Catalog for model versioning, reproducibility, and governance. Collaborate with product managers, data engineers, and other data scientists to deliver impactful solutions to business problems. Optimize model performance, conduct error analysis, and ensure efficient cloud resource utilization in Azure or AWS environments. Lead technical discussions, code reviews, and mentor junior data scientists within the team. Stay abreast of the latest research and trends in AI/ML and proactively apply them to real-world use cases. Communicate technical findings clearly to both technical and non-technical stakeholders. Qualifications: Bachelors or Master’s degree in Computer Science, Data Science, Engineering, or a related field. 3+ years of experience in applied data science, AI, and machine learning. Proven expertise in developing ML models from scratch, including preprocessing, feature engineering, and model tuning. Hands-on experience with LLMs and Generative AI (e.g., GPT, LLaMA, Falcon, etc.) and fine-tuning domain-specific models. Advanced programming skills in Python, with experience in relevant ML libraries (e.g., scikit-learn, PyTorch, TensorFlow). Deep familiarity with the Databricks platform: Delta Lake, Agent Bricks, Unity Catalog, MLflow, Mosaic AI, and integration with cloud ecosystems (Azure/AWS). Solid understanding of MLOps principles, CI/CD pipelines, and production-level deployments. Excellent communication and interpersonal skills with the ability to simplify complex concepts.

1. Salesforce Experience : At least 6 years of experience with Salesforce, including Sales Cloud, Marketing Cloud, and Service Cloud. 2. Agentforce Experience : At least 2 years of experience with Salesforce Agentforce, including Einstein Analytics, Einstein Prediction Builder, and Einstein Discovery. 3. AI and Machine Learning Experience : At least 2 years of experience with AI and machine learning, including machine learning frameworks, deep learning, and natural language processing. 4. Programming Skills : Strong proficiency in programming languages, such as Python, Java, and Apex. 5. Data Analysis and Visualization : Strong skills in data analysis and visualization, including data preparation, data modeling, and data visualization. 6. Communication and Collaboration : Excellent communication and collaboration skills, including the ability to work with cross-functional teams and stakeholders.

About this role: Wells Fargo is seeking a Software Engineer. We believe in the power of working together because great ideas can come from anyone. Through collaboration, any employee can have an impact and make a difference for the entire company. Explore opportunities with us for a career in a supportive environment where you can learn and grow. 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: 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 Experience with Google ADK (preferred but not mandatory) AutoGen, and OpenAI APIs Strong verbal and written communication skills 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.

Inviting Applications for In-Person Interview in Bangalore Interested candidates can fill out the form and book their interview slot. https://forms.office.com/Pages/ResponsePage.aspx?id=x1J_P7IHsUygekliVgIeb3baKLOAzqJCoCpmtamCmihURE9UOE1aWUxEUFFTMEpVSkpCUEpPNjg0Ui4u

Use GPT API or Llama to develop custom frameworks for investment management alternate data analysis Use Orchestration tools like N8n for document ingestion Setup on cloud or private using Coreweave Lead Machine Learning and UI Engineers Required Candidate profile 3+ years of development experience in .NET , Python and Azure 3+ years of experience in Data Science along with hands on GenAI and LLMs Experience with VectorDB, documentation ingestion workflows etc.

Description - External Prepare detail design for the Solution by discussing with PO and business. Consult with Business, Subject Master Expert, users to evaluate business requirements, evaluate existing or proposed systems, and prepare detailed technical design document from which programs will be written. Walk-thru the technical design document with Business/SME/QA group and support team. Prepare test planning & setup test data. Execute test planning based on project requirements. Ensuring timely deliveries for all assigned tasks Participation in Design reviews, Test Case reviews, and Production Support readiness reviews for new releases. Capable of Creating Automation Scripts Support QA, UAT and Release phases of the project via defect analysis, change maintenance, etc. Adhere to all quality requirements. Should be able to work independently. Strong problem solving, analytical kills, Good communication and presentation skills, Good attitude and self-motivated.

We are seeking a highly experienced GenAI Architect with a Testing & Automation background to drive the integration of Generative AI (GenAI) and AI/ML technologies into our testing and Verification & Validation (V&V) service offerings. The ideal candidate will have extensive hands-on experience in AI-driven test automation, architecture, and strategy, with the ability to re-engineer existing systems and develop AI-based automation accelerators . Key Responsibilities: Architect and integrate GenAI/AI solutions into existing testing, automation, and V&V service offerings. Re-design internal and customer systems to incorporate GenAI for enhanced automation and efficiency. Develop AI-powered test solutions in collaboration with cross-functional teams and customers. Drive the adoption of GenAI technologies for test automation across the organization. Assess and recommend AI-driven automation strategies to clients based on their existing testing frameworks. Identify and define high-value use cases where AI-powered automation can improve efficiency. Collaborate with clients and partners to align test automation solutions with business and market needs. Technical Skills & Expertise: AI & GenAI Expertise: Extensive experience in AI/ML architecture and implementations for Test Automation, Accelerators, and V&V projects . Strong knowledge of GenAI models and their applications in automated testing . Test Automation & Tools: Test Automation Architecture & Development expertise for Web, Mobile, Cloud, API, and Embedded systems . Hands-on experience with automation frameworks such as: Selenium Appium Cucumber TestNG Custom-built automation accelerators Experience in manual testing methodologies , including: Test Development Life Cycle (TDLC) Various testing types (Functional, Regression, Performance, Security, etc.) Creating test approaches/plans Consulting & Leadership: Lead QA assessment teams to evaluate customers testing processes and provide strategic recommendations for GenAI adoption. Identify opportunities for AI-based testing solutions, accelerators, platforms, and tools . Work closely with product teams and clients to define feature requirements and ensure alignment with market needs. Required Skills & Qualifications: 15+ years of experience in software testing, automation, and AI/ML-powered test solutions. Strong understanding of AI/ML-driven automation frameworks . Proven experience in integrating AI-powered automation into enterprise testing environments. Strong problem-solving and analytical skills with a focus on innovation. Excellent communication and stakeholder management skills to collaborate with cross-functional teams and clients. Preferred Skills (Good to Have): Experience in GenAI-based predictive analytics for testing . Expertise in QA tools such as JIRA, TestRail, or Zephyr. Knowledge of DevOps and CI/CD pipelines . Exposure to ITAM, CSM, GRC, and LSD .

Role: Senior Data Scientist Job Location- Vashi, Mumbai (5 mins walk from Vashi station) Company: Morningstar (Product Company) Website: https://www.morningstar.com/ Job Description The Role: Working & collaborating with a cross-functional team of Data Scientists, MLOPs Engineers, Solution Architects, Software Engineering & Product Managers to help build an automated solution for data collection. Seamlessly deploy and operationalize models as scalable & robust services which will include requirement understanding, model development, productionizing models, model serving, API/library/CLI development, developing data visualization tools, code refactoring, unit testing and support. As a Data Scientist, you will be a leading contributor in the implementation of Artificial Intelligence (AI) within Data Collections software applications, API's, and other data products. This role requires significant interaction with both upstream and downstream stakeholders across Technology, Data, Products, Sales/Service, and Research for: Data Collection and Cleaning: Gathering data from various sources and ensuring its quality by cleaning and organizing it. Data Analysis: Using statistical techniques and machine learning algorithms to analyze data and uncover patterns, trends, and insights. Model Building: Creating predictive models and algorithms to solve business problems and improve decision-making. Data Visualization: Presenting data insights through visualizations and reports to help stakeholders understand the findings. Collaboration: Working closely with business stakeholders to understand their goals and determine how data can be used to achieve them Key Requirements: Must have 5-8 years of relevant experience as Data Scientist. Experience in extracting data / information, through complex semi-structured and unstructured documents using NLP & Parsing Analyzing business problem and cut through the data challenges Ability to churn the raw corpus and develop a data/ML model to provide business analytics (not just EDA), machine learning based document processing and information retrieval. Quick to develop the POCs and transform it to high scale production ready code. Must Have Skills: NLP, Scraping, Parsing including libraries such as NLTK, Gensim, Spacy, Scrapy, beautifulsoup, regex etc. Deep Learning including Keras, TensorFlow / PyTorch, Neural Networks, such as CNN, LSTM/GRU/RNN/CNN/GAN/Residual Networks etc. Generative AI, Transfer Learning, Transformers, Embeddings, LLMs, Prompt Engineering, Encoders, Decoders etc. Supervised, unsupervised, semi-supervised, few shot / zero shot learning including EDA, training, modelling, hyper-parameter tuning, API creation etc. in Regression & Binary/Multiclass classifications in algorithms such as Decision Trees, SVM, XGBoost etc. Python data structures using List, tuple, dictionary, collections, iterators, Pandas, NumPy etc. including libraries such as Scikit-learn, imblearn, SciPy etc. Database & SQL knowledge (like Postgres, SQL Server, MySQL etc) Desired Skills: AWS services like EC2, Beanstalk, Lambda including Containerization, Docker images etc. Generative AI, Transfer Learning, Transformers, Embeddings, LLMs, Prompt Engineering, Encoders, Decoders etc. Object oriented programing(OOP) & Rest API) CI/CD/CT, MLOps Morningstar is an equal opportunity employer.

About the Role: We are seeking a visionary AI Architect to drive our AI/ML and GenAI roadmap. You will lead the design of multi-modal generative workflows that combine image, video, and LLM-driven tasks for media workflow automation. This role will influence our core platform strategy by integrating custom and open-source diffusion models, prompt-to-image generation, segmentation, and agentic task orchestration using LLMs. Key Responsibilities: Architect AI solutions for image/video generation, segmentation, pose estimation, and retouching using diffusion models and GANs. Design agentic workflows leveraging LLMs (OpenAI, Claude, etc.) for orchestrating creative task chains, model prompting, or hybrid AI-human loops. Lead data pipeline and preparation strategy define data requirements, build annotation pipelines, and guide synthetic data generation. Evaluate and fine-tune foundation models like Stable Diffusion, ControlNet, OpenPose, DeepFaceLab, CP-VTON. Guide research, benchmarking, fine-tuning, and deployment of models. Evaluate build vs. buy decisions for third-party APIs or in-house model development. Ensure compliance with IP, client data protection, fairness, and ethical AI practices. Desired Skills: Deep experience in computer vision, generative AI (diffusion, transformers), and LLM integration Hands-on with PyTorch, Hugging Face, Diffusion/ GAN Architectures Hands-on with LLM and agentic frameworks like LangChain, AWS Bedrock Strong understanding of synthetic data pipelines, model evaluation metrics, and prompt engineering Strong understanding of image harmonization, segmentation, texture transfer Ability to architect scalable ML pipelines combining image/video generation with LLM reasoning Experience leading a technical team or managing AI initiatives end-to-end. Familiarity with AWS/GCP, GPU infrastructure, and scalable AI model serving Familiarity with co-pilot tools and AI-assisted code generation to accelerate prototyping and implementation of AI systems Desired Profile & Qualification: 8+ years in AI/ML roles including leadership in GenAI or CV-heavy platforms Degree in Computer Science, Machine Learning, or related field (MS/PhD preferred). Prior contributions to open-source AI or research publications is an advantage Note: This is an on-site position.

Job description Hiring for Data science/Gen AI with experience range 3 years & above Mandatory Skills: Data science/Gen AI Education: BE/B.Tech/MCA/M.Tech/MSc./MS Responsibilities A day in the life of an Infoscion As part of the Infosys consulting team, your primary role would be to actively aid the consulting team in different phases of the project including problem definition, effort estimation, diagnosis, solution generation and design and deployment You will explore the alternatives to the recommended solutions based on research that includes literature surveys, information available in public domains, vendor evaluation information, etc. and build POCs You will create requirement specifications from the business needs, define the to-be-processes and detailed functional designs based on requirements. You will support configuring solution requirements on the products; understand if any issues, diagnose the root-cause of such issues, seek clarifications, and then identify and shortlist solution alternatives You will also contribute to unit-level and organizational initiatives with an objective of providing high quality value adding solutions to customers. If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!

Primary Skill Genai, Langchain, Python, SQL Location –Bengaluru Experience – 3 Years to 6 Years Work Mode – Hybrid (3-4 Days work from office) Notice Period – Immediate to 30 Days Official

Ready to shape the future of work At Genpact, we don&rsquot just adapt to change&mdashwe drive it. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos AI Gigafactory, our industry-first accelerator, is an example of how we&rsquore scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that&rsquos shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook. Inviting applications for the role of Assistant Vice President-Senior Lean and Quality We are seeking a Senior Lean and Quality professional to join our team. This role focuses on improving efficiency, reducing waste, and streamlining processes. The ideal candidate will have deep domain knowledge of Record to Report (R2R) processes, a strong understanding of lean principles, excellent project management skills, executive presence, and significant exposure to technology. Responsibilities . Work with operations leads, vertical leads, and clients to design, implement, and drive value-generating roadmaps or transformation roadmaps (including digital and analytics). . Collaborate with consulting teams, solutions teams, transition teams, training departments, operations teams, and practice areas to understand and deliver contractual commitments. . Identify process bottlenecks with operation and functional teams conduct root cause analysis implement process improvements and digital solutions across the organization. . Support aligned teams in their lean journey for continuous improvement by operationalizing the lean approach. . Conduct value stream mapping (VSM), Gemba walks, floor walks to identify process improvement opportunities. . Lead Lean Action Workouts and Kaizen events with operations teams and clients. . Create transformation roadmaps for lean initiatives, work closely with business leaders for realization. . Deliver Lean Digital projects that improve end-to-end processes driving significant business impact for clients. . Conduct quality awareness sessions and lean training within the organization. . Initiate projects that improve end-to-end processes set up measurement systems delivering business impact. . Build a culture of process excellence drive productivity through process improvement projects aligned with business initiatives. . Support transition teams in volume analysis baseline metrics set targets for new processes. . Drive standardization of global best practices within the organization. Qualifications we seek in you! Minimum Qualifications / Skills . Bachelor%27s degree required CA or ICWA preferred . Relevant years of experience in a Transformation role . Certification in Lean Six Sigma or equivalent . Deep Domain Knowledge: Experience in multiple R2R processes such as month-end close activities including intercompany reconciliations fixed assets financial planning & analysis (FP&A) etc., with deep domain skills in one or more areas . Project Management: Excellent project management skills designing driving small large-scale improvement transformation projects . Consultative Partnering Skills: Good consultative partnering skills while dealing senior leadership . Digital Transformation Experience: Relevant experience design implementation administration digital transformation projects . Lean and Quality knowledge: Ability to identify Waste and streamline process . Self-driven Ability Drive Outcomes Independently: Self-driven ability drive outcomes independently Preferred Qualifications/ Skills . Exposure R2R tools implementations like Blackline OneStream ERP implementations . Exposure AI machine learning generative AI projects . Experience handling Kaizen events 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.

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 Business Analyst, Data Science! This role supports Commercial Analytics enablement, which includes understanding of business trends, provide data driven solutions. Within the Analytics, crafted to support brands and go-to-market strategies, Customer Analytics focuses on bringing and scaling analytics solutions that advances Customer centricity and transformation. The Analytics member is accountable for providing analytic expertise and delivering business insights to the Commercial organization. We&rsquore looking for a technically sound and who is interested in working within customer environment. Core data analytics work experience in Life Sciences/Healthcare/CPG for minimum 2+ years Second preference data analytics experience coupled with hands on technical skills Python, MS Word, Excel. Work location: Bangalore Responsibilities . Atleast 2 years of professional experience in implementing Analytics for business support. Must have experience with classification, regression and time series forecasting using ensemble methods with clear understanding. Well versed with data exploration and statistical inference from data. . Having 1 year experience building front end application using Streamlit/Gradio/Flask/Fast for Generative AI input and output display. . Using Generative AI to work on tasks like text generation, sentiment analysis, chatbots and language translation using RAG and agent-based models. . Analyze data and Generating insights using generative AI techniques for predictive modelling and data generation. . Building chatbot using different scalable data source for generating charts and statement. . Proficiency in programming language Python, SQL. . Responsible for weekly release of upgrades and new features to enhance current algorithm. Qualifications we seek in you! Minimum Qualifications / Skills . Masters or bachelor&rsquos in engineering - BE/B- Tech, BCA, MCA, BSc/MSc . Master&rsquos in science or related 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 diversity and inclusion, respect and integrity, customer focus, and innovation. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook. 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.

Job Title:AI/ML EngineerDepartmentTechLocation:GurgaonTravel Required:NoJob Description Tagbin Services Pvt. Ltd. Company Profile Tagbin is an experience-driven technology service company established in 2013 by IIT Roorkee Alumni, to design and engineer digital experiences for Government and various Industries. We develop experiential and interactive digital museums, enriched by virtual, kinetic installations, including the magic of 360-degree immersive experiences. We have expertise in developing futuristic cultural theme parks, experience centers, and cultural-historical centers with a smart blend of creativity and technology. Preserving our rich cultural heritage, our innovative projects also include interesting and entertaining projection mapping shows, drone shows, light and sound shows, water projection, and the magical experience of immersive Augmented Reality buses. Embracing the trinity of knowledge, art, and technology, we work meticulously to create well-researched content, which is prudently translated into exclusive pieces of creativity and presented through the most modern and captivating technology. Our projects include digital museums, projection mapping shows, interpretation centers, and innovative tourist-attracting projects for the heritage, culture, and tourism sectors. Brands leverage the combination of creative and technology services of our company for their business growth through brand digital experience centers and digitization of showrooms. With the right mix of creative and technical expertise of the team, Tagbin successfully delivered multiple innovative projects in PAN India, UK, the Middle East, and Asia for the last 11 years. Our main projects include the Prime Ministers Museum, New Delhi, Jyotisar Theme Park (on Mahabharat & Geeta), Valmiki Ram Teerth (Amritsar), Babasaheb Bhimrao Ambedkar Museum (Kapurthala), Sathya Sai (Bangalore), IFFI and Azadi ka Amrit Mahotsav, India@75 to name a few. Our Team is our biggest strength, and we work incessantly to expand our horizons by strengthening our team and capabilities. So, if you are the one who holds the zeal to become a part of such an enthusiastic, ever-evolving team, you may find your space in Tagbin Services Pvt. Ltd. Job Description: We are seeking a talented and motivated AI/ML Engineer to join our dynamic team. The ideal candidate will have a strong background in machine learning, data analysis, and software development, and will be responsible for developing and implementing innovative AI solutions to solve complex problems. Key Responsibilities: Design, develop, and fine-tune deep learning based models for the task Text2SQL, TTS and Image generation. Implement and optimize Generative AI models using architectures like GPT, BERT, T5, Anthropic Claude, and similar LLMs Hands-on experience with GANs such as Wav2Lip and LipSync for audio-visual synthesis Must have knowledge of NVIDIA frameworks like Triton,Omniverse etc. Work on the integration of AI models into applications, ensuring scalability and performance Fine-tune models for specific industries or use cases, focusing on improving accuracy and efficiency Research and implement the latest advancements in machine learning and natural language processing (NLP) techniques, and diffusion models for image generation for fashion industry. Deploy, monitor, and maintain AI systems in production environments Ensure that the AI models adhere to ethical standards and are free from bias Develop and implement Retrieval-Augmented Generation (RAG) based systems to enhance model performance and knowledge retrieval Work with various types of databases including vector databases and graph databases to support AI applications Apply basic computer vision and image processing techniques to relevant projects Conduct benchmarking of AI models using industry-standard metrics and datasets to evaluate and improve performance across various tasks Implement and evaluate retrieval systems using state-of-the-art benchmarks Assess and improve the performance of generative AI models using appropriate benchmarks Collaborate with data scientists, software engineers, and domain experts to align AI models with business requirements Design custom benchmarks for specific retrieval and generative AI tasks relevant to business needs Design and implement object detection pipelines using state-of-the-art models such as YOLOv8, Faster R-CNN, and SSD Skills and Qualifications: 5+ years of experience in AI engineering, with a focus on LLMs and Generative AI Proficiency in programming languages such as Python, C++, Javascript Experience with deep learning frameworks including PyTorch, TensorFlow, and Keras for building, training, and deploying neural networks Expertise in training and fine-tuning LLMs and knowledge of their architecture Hands-on experience with NLP techniques and Deep Learning frameworks Strong understanding of transformer models and their applications Familiarity with cloud platforms like AWS, GCP, Azure for model deployment Ability to work with large datasets and optimize models for performance Strong analytical and problem-solving skills Knowledge of ML Ops is a plus Excellent communication and teamwork skills Experience with Retrieval-Augmented Generation (RAG) systems and their corresponding knowledge bases Proficiency in working with various database types, including relational databases, vector databases (e.g., Pinecone, Faiss), and graph databases (e.g., Neo4j, Amazon Neptune) Knowledge of computer vision and image processing techniques and libraries (e.g., OpenCV, PIL) In-depth knowledge of Convolutional Neural Networks (CNNs) and their applications in deep learning tasks Practical experience in object detection using models such as YOLO, SSD, and Faster R-CNN Strong hands-on experience with PyTorch for building and deploying deep learning models Familiarity with Agentic AI frameworks and libraries such as LangGraph, CrewAI, AutoGen Proficiency in building and deploying APIs using Flask and FastAPI for serving AI/ML models Experience with WebSocket communication for real-time data exchange and interactive AI applications Benchmarking Expertise: Comprehensive understanding of AI benchmarking methodologies and familiarity with popular benchmarks for various AI tasks, including: Natural Language Processing: GLUE, SuperGLUE, SQuAD Machine Translation: WMT, BLEU score Text Summarization: ROUGE Image Classification: ImageNet Object Detection: COCO, Pascal VOC General Language Understanding: MMLU (Massive Multitask Language Understanding) Ability to design and implement custom benchmarks for specific use cases and industries