1456 Generative Ai Jobs - Page 37

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

Job Title: LLM Lead Experience: 6+ years Location: Bangalore / Pune / Gurgaon Contractual - 6months Job Description: Looking for a skilled Development Lead with expertise in Generative AI and Large Language models. As a Lead, you will play a key role in developing cutting-edge LLM applications and systems for our clients. The ideal candidate will have a strong technical background and a passion for pushing the boundaries of LLM apps. Responsibilities : Develop and extend digital products and creative applications, leveraging LLM technologies at their core. Lead a product development and product operations team to further develop, enhance and extend existing digital products built on top of LLMs Lead client onboarding, client rollout, and client adoption efforts , maximizing use of the product across multiple clients Lead enhancements and extensions for client specific capabilities and requests Successful leadership and delivery of projects involving Cloud Gen-AI Platforms and Cloud AI Services, Data Pre-processing, Cloud AI PaaS Solutions, LLMs Ability to work with Base Foundation LLM Models, Fine Tuned LLM models, working with a variety of different LLMs and LLM APIs. Must-Have: A minimum of 6+ years of experience is required, and candidates should have spent at least 23 years in GenAI and LLM projects . Strong Expertise in Python development, and the Python Dev ecosystem. hands-on experience in working with Large Language Model. Experience with multiple LLMs and models - including Azure OpenAI GPT model family primarily, but also Google Gemini, Anthropic Claude, etc. Experience in Cloud Gen-AI platforms, services, and APIs, primarily Azure OpenAI . Hands-on experience working with RAG pipelines and Enterprise technologies and solutions / frameworks - including LangChain, Llama Index, etc. Experience with vector databases (Azure AI Search, AWS Kendra, FAISS, Milvus etc.). Experience with Automation Workflows and building Automation solutions to facilitate rapid onboarding for digital products

Greetings!!! Currently we have an Opening for GenAI development role with one of our projects, location based out of Bangalore / Hyderabad. Kindly find below the details for your Perusal. Job Location : Bangalore / Chennai (Hybrid) CTC Range : 15 Lacs to 25 Lacs / Annum. Job Description: Generative AI & Machine Learning: Develop, implement, and fine-tune generative AI models and machine learning algorithms for real-world applications. Collaborate with data scientists and other team members to translate research into production-ready code. Design, build, test, and maintain RESTful APIs and backend services using Python. Hands-on experience in Azure Cloud. About Sonata: Sonata is a global software company, one of the fastest growing in India. It specializes in Platform Engineering, Sonatas proprietary Platformation methodology, providing a framework that assists companies with their digital transformation journeys and helps them build their businesses on platforms that are Open, Connected, Intelligent, and Scalable. Sonata's platform engineering expertise is supported by its capabilities in Cloud and Data, IoT, AI, and Machine Learning, Robotic Process Automation, and Cybersecurity. With its centres in India, the US, Europe, and Australia, Sonata brings Thought leadership, Customer-centricity, and Execution Excellence towards catalysing the business transformation process for its customers around the world. You can read more here: https://www.sonata-software.com/platformation Interested Candidates kindly revert with your updated resume to gsathish@sonata-software.com Regards Sathish 9840669681 Talent Acquisition - Sonata Software Services.

4+ years of experience in implementing and deploying Django applications in an enterprise-grade environment Experts in using source control management tools like Git and GitHub Experience in creating and scaling highly performing REST APIs Experience working with PostgreSQL, My SQL, and MS SQL A good understanding of AWS and the core services they offer Must have a hands-on experience with the OpenAI model (such as GPT4 / 4o mini) Must know LLM Model Training & Fine-tuning. Must know OpenCV and Pytorch / TensorFlow Knowledge of software development methodologies, such as Agile or Scrum Good to have, Hands-on experience on generative AI projects in real-world applications Experience in optimizing and fine-tuning generative models to improve performance, efficiency, and scalability, considering factors such as model size, computational requirements, and memory constraints knowledge of LangChain; And different chain types like ConversationalRetrieval Chain, SQLDatabase Chain etc. Knowledge of ChromaDb or Pinecone Vector Db Design, develop and refine AI-generated text prompts for various applications. Familiarity with cloud platforms such as Azure

We are seeking an experienced Data Engineer to join our dynamic product development team. In this role, you will be responsible for designing, building, and optimizing data pipelines that ensure efficient data processing and insightful analytics. You will work collaboratively with cross-functional teams, including data scientists, software developers, and product managers, to transform raw data into actionable insights while adhering to best practices in data architecture, security, and scalability. Role & responsibilities * Design, build, and maintain scalable ETL processes to ingest, process, and store large datasets. * Collaborate with cross-functional teams to integrate data from various sources, ensuring data consistency and quality. * Leverage Microsoft Azure services for data storage, processing, and analytics, integrating with our CI/CD pipeline on Azure Repos. * Continuously optimize data workflows for performance and scalability, identifying bottlenecks and implementing improvements. * Deploy and monitor ML/GenAI models in production environments. * Develop and enforce data quality standards, data validation checks, and ensure compliance with security and privacy policies. * Work closely with backend developers (PHP/Node/Python) and DevOps teams to support seamless data operations and deployment. * Stay current with industry trends and emerging technologies to continually enhance data strategies and methodologies. Required Skills & Qualifications * Minimum of 4+ years in data engineering or a related field. * In depth understanding of streaming technologies like Kafka, Spark Streaming. * Strong proficiency in SQL, Python, Spark SQL - data manipulation, data processing, and automation. * Solid understanding of ETL/ELT frameworks, data pipeline design, data modelling, data warehousing and data governance principles. * Must have in-depth knowledge of performance tuning/optimizing data processing jobs, debugging time consuming jobs. * Proficient in Azure technologies like ADB, ADF, SQL (capability of writing complex SQL queries), PySpark, Python, Synapse, Fabric, Delta Tables, Unity CatLog. * Deep understanding of cloud platforms (e.g., AWS, Azure, Google Cloud) and data warehousing solutions (e.g., Snowflake, Redshift, Big Query). * Good knowledge of Agile, SDLC/CICD practices and tools with a good understanding of distributed systems. * Proven ability to work effectively in agile/scrum teams, collaborating across disciplines. * Excellent analytical, troubleshooting, problem-solving skills and attention to detail. Preferred candidate profile * Experience with NoSQL databases and big data processing frameworks e.g., Apache Spark. * Knowledge of data visualization and reporting tools. * Strong understanding of data security, governance, and compliance best practices. * Effective communication skills with an ability to translate technical concepts to non-technical stakeholders. * Knowledge of AI-OPS and LLM Data pipelines. Why Join GenXAI? * Innovative Environment: Work on transformative projects in a forward-thinking, collaborative setting. * Career Growth: Opportunities for professional development and advancement within a rapidly growing company. * Cutting-Edge Tools: Gain hands-on experience with industry-leading technologies and cloud platforms. * Collaborative Culture: Join a diverse team where your expertise is valued, and your ideas make an impact.

#GenerativeAI Experts ready for AI race, this is for you! Announcing Hexaware conducting Walkin Drive for AI Engineer and Lead Data Scientist (GenAI)-Pune Location-12th July 2025(Saturday) Interested candidates share your CV at umaparvathyc@hexaware.com Open Positions: AI Engineer/Lead Data Scientist (GenAI) AI Engineer Experience- 3+years Lead Data Scientist (GenAI) Experience- 7+years Notice Period- 15 days/30days Max (who serving Notice Period) Walkin Drive Location- Pune Date of drive- 12th July 2025(Saturday) Must have Experience: LLM, Advance RAG, NLP, transformer model, LangChain Technical Skill: 1. Strong Experience in Data Scientist (GENAI) 2. Proficiency with Generative AI models like GANs, VAEs, and transformers 3. Expertise with cloud platforms (AWS, Azure, Google Cloud) for deploying AI models 4. Strong Python Fast API experience, SDA based implementations for all the APIs 5. Knowledge of Agentic AI concepts and applications

Location: Belapur, Navi Mumbai Permanent Job Woke Mode: 5 Days office Immediate joiners Skills required: 1. Minimum 2 to 10 years of Experience of GEN AI, Deep Learning, Machine Learning. 2.Expert on Programming Knowledge of Java/Python

We are seeking a highly skilled ML/AI Developer to join our team. In this role, you will develop, implement, and maintain machine learning models and AI systems, as well as design and deliver AI solutions that drive business outcomes.

About the Role: We are seeking a talented and driven Software Engineer with 5-10 years of hands-on experience to join our growing technology team. The ideal candidate will have a strong foundation in software development and proven expertise in Streamlit, Snowflake, Cortex, and Generative AI (GenAI) applications. Must haves: Strong hands-on experience with Streamlit for building data applications Proficient in working with Snowflake SQL scripting, data integration, and performance tuning Working knowledge of Cortex (machine learning model deployment or similar) Experience with Generative AI tools, frameworks, or APIs (e.g., OpenAI, Hugging Face, LangChain) Proficiency in Python and version control systems like Git M lid understanding of cloud services (AWS, GCP, or Azure preferred) To Apply: Please send your updated resume to recruitment@cloudethix.com

The Role : The ideal candidate for this role will be an innovative self-starter. You will be an AI expert with experience in making architectural tradeoffs to transform AI performance for a variety of use cases. You will collaborate with internal and external development engineers (architecture, hardware, validation, software services). You will contribute to development, support device characterization and benchmarking efforts. Responsibilities : - Proficiency in Large Models & Deep Neural Networks. - Hands-on experience in working with large models & deep neural networks. - Expertise in LLMs with working knowledge of large language models (LLMs). - Extensive experience in System platform Architecture. - Experience in Development Preferable for memory/storage/ any embedded system. - In depth knowledge and extensive experience in dealing with Standardizations/Technical Papers/Patents. - Extensive experience with C/C++ and Python programming. - Develop and fine-tune LLMs (GPT, Llama, Mistral, Falcon, Claude, etc.) for domain-specific applications. - Implement RAG pipelines using LlamaIndex, LangGraph, and vector databases (FAISS, Pinecone, Weaviate, ChromaDB) to enhance response accuracy. - Build AI-powered chatbots and autonomous agents using LangGraph, CrewAI, LlamaIndex, and OpenAI APIs. - Optimize and deploy generative AI models for real-time inference using cloud platforms (AWS, GCP, Azure) and MLOps tools (Docker, Kubernetes, MLflow). - Fine-tune models using LoRA, QLoRA, PEFT, and RLHF to improve efficiency and personalization. - Develop AI-driven workflows for structured reasoning and decision-making using CrewAI and LangGraph. - Integrate multi-modal AI models (text, image, speech) into enterprise solutions. - Implement memory and retrieval strategies for LLM-based systems using vector search and caching techniques. - Ensure AI models follow ethical AI guidelines, bias mitigation, and security best practices. Requirement : - Tech in Computer Science, Electrical Engineering. - 8 to 10 Years of experience in relevant domain. - Strong analytical & abstract thinking ability as well as technical communication skills. - Able to work independently and perform in fast paced environment. - Ability to troubleshoot and debug complex issues. - Working Knowledge on Device Driver is desirable. - Prior experience in working with Agile/Scrum. Required Skills : - Languages & Frameworks : Proficiency in Python, PyTorch, TensorFlow, JAX

Seeking skilled & innovative Generative AI Architect to lead design, development & deployment of next-generation AI solutions. The candidate will have strong exp in large language models (LLMs), foundational AI models, & GenAI solution architecture Required Candidate profile B.Tech / M.Tech / Ph.D. in Computer Science, AI, or related field from Tier-1 institutes (IITs, IISc, NITs, IIITs, BITS, etc.) Exp working with Azure OpenAI / AWS Bedrock / GCP Vertex AI is a plus

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.

Role & responsibilities Key Responsibilities: Design, develop, and maintain scalable and reliable test automation frameworks utilizing Python, Java/C##. Expertise in designing and implementing AI-driven test strategies using advanced tools like OpenAI, GitHub Copilot, etc. Demonstrate understanding of or possess hands-on experience with testing methodologies specific to Generative AI and large language model (LLM)-based systems. Perform thorough manual testing across web applications, APIs, and backend services to ensure functional stability and performance. Collaborate closely with software engineers and business analysts to gather and interpret requirements, ensuring comprehensive test coverage and alignment with business objectives. Execute various types of testing including functional, regression, integration, and system-level testing to ensure product quality and reliability. Develop and manage test plans, create detailed test cases, and document clear, actionable defect reports. Integrate automated test suites into CI/CD pipelines to enable continuous testing and quality assurance throughout the development lifecycle. Actively participate in Agile ceremonies such as sprint planning, daily stand-ups, and retrospectives, contributing to continuous improvement initiatives. Mandatory Skills: Over 4 to 6 years of professional experience in the IT industry, with a strong focus on test automation management. A minimum of 1.5 years of hands-on experience in testing Generative AI systems. Proven expertise in both automated and manual testing methodologies across diverse application landscapes. Sound understanding and/or practical experience in testing strategies specific to Generative AI and Large Language Model (LLM)-based applications. Strong proficiency in API testing and backend system validation to ensure data integrity and service reliability. Skilled in developing and maintaining test automation scripts using Python and Java. Extensive experience with automation frameworks such as Pytest, Selenium, Playwright, Rest Assured. Well-versed in Continuous Integration/Continuous Deployment (CI/CD) practices, with familiarity in integrating test suites into CI/CD pipelines using industry-standard tools. Good to Have: Experience with Azure DevOps (ADO) for comprehensive test management, task tracking, and collaboration within Agile development environments. Solid experience in leveraging AI and LLM evaluation frameworks like RAGAS for quality assessment, combined with proficiency in developing and validating custom GPT models for domain-specific applications. Soft Skills & Team Expectations Strong communication and documentation skills; ability to clearly articulate technical concepts to both technical and non-technical audiences. Demonstrated ability to work independently as well as collaboratively in a fast-paced environment. A builder's mindset with a strong desire to innovate, automate, and scale . Comfortable in an agile, iterative development environment. Willingness to mentor junior engineers and contribute to team knowledge growth. Why Join PwC CTIO? Work at the cutting edge of AI engineering , deploying real solutions at production scale. Collaborate with visionary AI researchers , engineers, and product leaders to redefine whats possible. Be part of a team that values both rapid experimentation and engineering excellence . Gain exposure to LLMOps and GenAI infrastructure at an enterprise scale. Join a culture that encourages continuous learning, bold thinking , and inclusive innovation . Shift:2pm-11pm