525 Generative Ai Jobs - Page 12

AI/ML - Must have 7+ Years of experience in AI/ML Gen AI - Must have 3+ Years of experience in Gen AI 5 Days Work From Office May Joiners can share resumes at: "Kashif@d2nsolutions.com"

Hands on exp with building language models, machine learning & AI models leveraging industry tools, products, & Azure cognitive services. • Deep and hands-on expertise in AI/ML, Gen AI "KASHIF@D2NSOLUTIONS.COM"

We are seeking a highly motivated and talented Machine Learning Engineer Intern to join our AI and Data Science team. This internship offers a unique opportunity to gain hands-on experience in machine learning and work on real-world applications.

About Blend360: Blend360 is a premier AI services provider, dedicated to solving complex business challenges through the power of Data Science, AI, and technology. We co-create impactful solutions by seamlessly integrating human expertise with artificial intelligence, fostering innovation, and unlocking value for our clients. Our mission is to fuel bold visions, and we believe that People + AI can create meaningful impact. For more information, visit www.blend360.com. Role Highlights: This is not just a leadership role it's a hands-on, execution-driven position where you will build, optimize, and deploy AI/ML models while leading a team. As a Manager Data Science , you will work at the intersection of machine learning, generative AI, and business problem-solving. Youll be responsible for developing cutting-edge solutions, guiding projects from ideation to production, and mentoring a team of data scientists to drive measurable impact. If you thrive in a fast-paced, hands-on environment where you can design, develop, and implement AI-powered solutions while leading from the front, wed love to have you on board! What Youll Tackle Each Day: Hands-on AI & ML Development: Build, train, and deploy ML models from classical techniques (Classification, Regression, Forecasting) to advanced deep learning, LLMs, and Generative AI. Perform feature engineering, statistical analysis, and model tuning to enhance predictive capabilities. Work with big data tools (Hadoop, PySpark, Hive) to process large datasets efficiently. Develop AI-driven solutions tailored for industries like Retail, CPG, BFSI, Healthcare, and eCommerce. Optimize and automate machine learning pipelines for scalable deployment. End-to-End AI/ML Deployment: Own the full ML lifecycle , from development to deployment and monitoring. Collaborate with Data Engineering teams to build production-ready ML pipelines. Work with cloud platforms such as Azure, AWS, GCP, or Databricks for model deployment and monitoring. Design and implement A/B testing strategies to measure model impact. Project Execution & Delivery: Drive multiple AI/ML initiatives from concept to execution , ensuring quality and timely delivery. Partner with cross-functional teams (Product, Data Engineering, Business) to translate business problems into scalable AI solutions . Own project roadmaps, track milestones, and ensure stakeholder alignment. Communicate AI/ML concepts effectively to both technical and non-technical stakeholders . Leadership & Team Growth: Lead by doing mentor and guide a high-performance team of data scientists. Set technical direction, review code, and establish best practices in AI/ML development. Foster a culture of continuous learning, innovation, and hands-on problem-solving . Provide career development guidance and help team members achieve technical excellence. What You Bring to the Table: 8+ years of hands-on experience in Data Science & AI , with strong expertise in ML, Python, and SQL . Exposure to Generative AI Should have worked on at least a few POCs or pilot projects leveraging Gen AI capabilities Deep understanding of ML algorithms , including NLP, LLMs, forecasting, and optimization techniques. Proven track record of building and deploying machine learning models in production environments. Expertise in at least one cloud platform: AWS, Azure, GCP, or Databricks . Strong grasp of statistics, probability, and causal inference . Ability to break down complex AI concepts for business stakeholders. Experience with big data tools (Hadoop, Hive, PySpark) and ML workflow automation . Bonus: Experience with Google Analytics, Adobe Analytics, or digital marketing analytics .

Role & responsibilities Key Responsibilities: Multi-Cloud Architecture & Strategy: Lead the design, development, and implementation of highly available, scalable, and secure multi-cloud architectures across various platforms (e.g., AWS, Azure, GCP). Develop and champion cloud strategy, best practices, and architectural patterns to optimize performance, cost, and resilience. Evaluate and select appropriate cloud services and technologies to meet business requirements and future growth. Drive cloud governance, cost management, and resource optimization initiatives. Solution Design & Use Case Translation: Collaborate closely with business stakeholders, product managers, and engineering teams to deeply understand use cases, business requirements, and technical challenges. Translate complex business needs into clear, actionable architectural designs and technical specifications. Architect end-to-end solutions that integrate diverse systems and technologies. Generative AI Integration & Innovation: Identify opportunities and lead the integration of Generative AI models (e.g., Large Language Models, image generation models) into existing and new solutions. Develop and implement strategies for leveraging AI for automation, content generation, data analysis, and enhanced user experiences. Stay abreast of the latest advancements in AI/ML, particularly in generative models, and evaluate their applicability to our products and services. Technical Leadership & Hands-on Development: Provide technical leadership, mentorship, and guidance to a team of engineers and architects. Act as a hands-on contributor, actively participating in the coding and development of core components, particularly in Python. Conduct code reviews, establish coding standards, and ensure the delivery of high-quality, maintainable code. Troubleshoot complex technical issues and provide effective resolutions. Compliance & Security: Ensure all architectural designs, solutions, and implementations adhere strictly to industry standards, regulatory requirements (e.g., GDPR, HIPAA, PCI DSS), and internal security policies. Ensure all open vulnerabilities are timely patched Ensure Zero-trust principles are applied on Identity, Endpoints, Infrastructure and Apps. Implement robust security measures, data privacy controls, and access management strategies within multi-cloud environments. Lead and participate in security audits and compliance assessments. Collaboration & Communication: Foster a culture of collaboration, innovation, and continuous improvement within the team and across departments. Effectively communicate complex technical concepts to both technical and non-technical audiences. Preferred candidate profile

Mode of Employment:C2H Notice Period:immediate JD: POSITION OVERVIEW : We are seeking an experienced and results-driven Enterprise Architect primarily covering .NET to design, develop, and implement scalable, high-performance software solutions. The ideal candidate will have a deep understanding of the Enterprise Applications covering .NET ecosystem, including ASP.NET Core, RESTful services, SQL Server, and cloud technologies like Azure. This role also involves exploring emerging technologies like Python, Generative AI, and Microsoft Power Platform to drive innovation and deliver cutting-edge solutions. Responsible for defining architectural patterns, database architecture, coding and building the solutions and applications, ensuring alignment between technical roadmap and business objectives. POSITION GENERAL DUTIES AND TASKS : Job Summary: We are seeking an experienced and results-driven Enterprise Architect primarily covering .NET to design, develop, and implement scalable, high-performance software solutions. The ideal candidate will have a deep understanding of the Enterprise Applications covering .NET ecosystem , including ASP.NET Core , RESTful services , SQL Server , and cloud technologies like Azure . This role also involves exploring emerging technologies like Python , Generative AI , and Microsoft Power Platform to drive innovation and deliver cutting-edge solutions. Responsible for defining architectural patterns, database architecture, coding and building the solutions and applications, ensuring alignment between technical roadmap and business objectives.

Responsibilities: * Collaborate with dev team on API testing using GIT and CI/CD pipeline. * Develop automated tests with Python, PyTest, and frameworks.

Role & responsibilities Experience with Machine Learning, Deep Learning, Computer Vision, NLP, Generative AI. Knowledge of algorithms, object-oriented and functional design principles, and best-practice patterns Solid understanding of common programming languages used in AI, such as Python, Java, C++, and R Advanced knowledge of statistical and algorithmic models as well as of fundamental mathematical concepts, such as linear algebra and probability Experience working with large data sets and writing efficient code capable of processing large data streams at speed. Primary skillset: Machine Learning, Deep Learning, Computer Vision, NLP Strong hands-on experience in AI/ML/Data Science, including machine learning algorithms, deep learning, NLP, computer vision, etc. Knowledge of programming languages such as Python, R, SQL, etc. Experience with AI/ML/Data Science tools and frameworks such as TensorFlow, PyTorch Experience: Minimum 8-12 years of experience in AI/ML/Data Science Proven track record of successfully delivering AI/ML/Data Science projects

Review& interpret new specifications&revisions of existingspecifications Understand all requirements for samples,workflows,testequipment Research&study products&specifications through learning,userfeedback,information improve quality of documentation Required Candidate profile Exp in editing&preparing technicaldocuments Projectmanagement skills to manage&complete several large projects whichrequire support Exp in automotive technical specifications USCAR/OEM specifications

Role - AI/ ML Engineer Location - Gurugram We are seeking a highly skilled and innovative AI Data Engineer to join our Development team. In this role, you will design, develop, and deploy AI systems that can generate content, reason autonomously, and act as intelligent agents in dynamic environments. Key Responsibilities • Design and implement generative AI models (e.g., LLMs, diffusion models) for text, image, audio, or multimodal content generation. • Develop agentic AI systems capable of autonomous decision-making, planning, and tool use in complex environments. • Integrate AI agents with APIs, databases, and external tools to enable real-world task execution. • Fine-tune foundation models for domain-specific applications using techniques like RLHF, prompt engineering, and retrieval-augmented generation (RAG). • Collaborate with cross-functional teams including product, design, and engineering to bring AI-powered features to production. • Conduct research and stay up to date with the latest advancements in generative and agentic AI. • Ensure ethical, safe, and responsible AI development practices. Required Qualifications Bachelors or Master’s degree in Computer Science, AI, Machine Learning, or a related field. • 3+ years of experience in machine learning, with a focus on generative models or autonomous agents. • Proficiency in Python and ML frameworks such as PyTorch • Experience with LLMs (e.g., GPT, Claude, LLaMA, Cortex), transformers, and diffusion models. • Familiarity with agent frameworks (e.g., LangChain, AutoGPT, ReAct, OpenAgents). • Experience with AWS and Snowflake services • Prior Healthcare experience • Strong understanding of reinforcement learning, planning algorithms, and multi-agent systems. • Excellent problem-solving and communication skills.

Preferred candidate profile 6-7 years of hands-on experience in AI/ML, Generative AI, and related technologies. Proven experience managing engineering teams while remaining technically involved. Proficiency in Python (must-have). Familiarity with Java, Go, and R (preferred). Strong understanding of frontend technologies, particularly Next.js. Experience with backend technologies, specifically Node.js. Knowledge of authentication systems like Auth0. Experience with server and database technologies, especially AWS and Firestore. Strong understanding of AI/ML frameworks, algorithms, and deployment practices. Good knowledge of the legal, tax, and regulatory sectors in India. Bachelors or Master’s degree in Computer Science or a related field. Strong problem-solving skills and ability to work in a fast-paced environment.

Immediate Openings on # Data Scientist GenAI Developer _ Mumbai / Pune / Hyderabad _ Contract Experience:6+ Years Skill: Data Scientist GenAI Developer Notice Period: Immediate Employment Type: Contract Work Mode: WFO/Hybrid Job Description : Generative AI Experience in developing Generative AI based applications Knowledge of various GenAI techniques and frameworks. Python o Machine Learning model development and deployment Azure AI services Optional skills but good to have : SQL API development

Employment Type:C2H 5+ years of experience in developing AI and Machine learning workloads, especially in the field of Natural Language Processing (NLP) Experience in building Generative AI solutions, virtual assistants and chatbots using Azure Open AI or any similar LLM s (eg: GPT 4.0) Experience in designing and building high-performant AI agents and virtual chatbots using MS Copilot Studio. Expertise in Python programming for Data science workloads Expertise in automation and production deployment of NLP and GenAI models using PowerApps. Excellent communication, interpersonal skills, and motivation to work in high performance and rewarding work environments

Experience : 4-5 years Work location: Hyderabad Shift Timings: 11 AM to 8 PM Roles and Responsibilities: Understanding the business objectives, data preparation, data mining, feature engineering, and developing Gen-AI Solutions to solve the business problems Provide direction to the team in terms of technical issues and the design challenges Should be self-driven individual and always look for future opportunities Ensuring delivery of work with minimal errors, within agreed time frame. Ensures Stakeholder satisfaction Demonstrates good communication skills Generates innovative ideas. Operates effectively in a fast-changing environment. Embraces change. Takes a broad approach to problem solving and decision making by analyzing, thinking ahead and planning. Acts with sense of urgency, practicality and integrity. Demonstrates ability to make decisions. Contributes to and participates in decision making and creates a participative decision-making environment. Seeks understanding of impacts and monitor and reviews these on an ongoing basis. Holds accountable for ensuring that results are achieved. Demonstrates a strong orientation towards achievement. Provides input to decision making processes. Demonstrates an understanding and appreciation of the cultural diversity present in the global business environment Technical Skills: Strong understanding of Microsoft Copilot Platform and its capabilities Support team on deploying and managing Gen-AI systems in production environments. They need to have a basic understanding of Gen-AI systems architecture and how to optimize them for performance and scalability. Good Exposure to Python based Gen-AI projects Should have exposure to Cloud computing platforms such as Azure to train and deploy Gen-AI solutions. Awareness around concepts such as pre-trained models, Finetuned models etc. Basic understanding on LLM and NLP tools and technologies used to perform Gen-AI tasks such as text, image generation, and code generation. Ex: GPT-3, Codex, GitHub Copilot, Bard. Ability to showcase the technical solution implemented and present it to all stakeholders Excellent Troubleshooting & Analytical skills Ability to manage / support multiple priorities Be interested in the new tech stack and complex problems solving Should be aware of complete software development lifecycle, including analysis, design, configuration, development, and unit testing Knowledge of .Net Core and SQL database Should be able to share the consistent updates to project stakeholders on project risks and able to come up with risk mitigation plans Experience working on vector databases and index-based search implementations Experience in implementing or utilizing AI / ML solutions including the Azure Cognitive services Designing and implementing Azure based web app solutions Nice to have: Experience with .Net development Qualifications: 1+ years experience and expertise on Microsoft Copilot Studio 4+ years of Azure Ai services experience 4+ Years of Python development experience 3+ years of hands-on exp in Generative AI projects Experience with Using Gen AI libraries like Lang chain, semantic kernel, crewai , etc. Fair understanding of machine learning, natural language processing, and other AI technologies as well. Desirable to have hands-on with Python, Web Development It is good to have a good understanding of business principles and practices Should be able to identify and assess the business potential of Gen-AI technologies Should be able to develop and implement business strategies for Gen-AI projects. Desired to have a strong understanding of the ethical implications of Gen-AI. Able to support in implementing ethical guidelines for the use of Gen-AI. Ensure that Gen-AI is used in a responsible and ethical manner. Responsible to assist team on designing, building, and maintaining Gen-AI models and systems. Basic understanding of how Gen-AI models work and how to craft prompts that will produce the desired results. Collaborate with Users to provide inputs on developing and implementing ethical guidelines for the use of Gen-AI. A strong desire to produce quality work, adopt standards and adhere to those standards Must be able to think & innovate out of the box Provide input to assist with continual improvement Regularly discuss current workload, issues, concerns, etc. Challenge team members to broaden their thinking about the environment and applications Ensure all work adheres to best practices Operate & Maintain: Manage the production issues of existing projects along with ongoing initiatives Standards & Documentation: Accountable for the creation of key standards and documents Ensure documentation, processes and standards are maintained or created for the delivered projects

Job Title: OCI Cloud AI Architect Location: Preferable- Noida (PAN India)-WFO Shift timings : 2PM to 11PM IST Total Experience : 10-15 years Primary Skill 1015 years in Oracle Cloud and Artificial Intelliegence, with 5+ years of proven experience in designing, architecting and deploying full stack AI/ML & Gen AI Solution over OCI AI stack Strong Python programming development experience, streamlit, XML, JSON etc. Deep hands-on knowledge of LLMs (e.g. Cohere, GPT etc.) & prompt engineering techniques (e.g. zero-shot, few-shot, CoT, and ReAct) especially for Cohere, & OpenAI Models. Strong knowledge of AI governance, security, guardrails, and responsible AI. Must have knowledge of data ingestion, feature engineering, model training, evaluation, deployment, and monitoring. Proficient in AI/ML/Gen AI frameworks (e.g., TensorFlow, PyTorch, Hugging Face, LangChain) & Vector DBs (e.g., Pinecone, Milvus). Proficient in implementing Agentic AI Frameworks (e.g. CrewAI, AutoGen and multi-agent orchestration workflow) Deep knowledge of OCI services including: OCI Data Science, OCI AI Services, OCI Gen AI Service, OCI Gen AI Agents, Oracle ATP, Data Flow (Apache Spark), OCI Functions, API Gateway, and Monitoring Strong understanding and practical application of: Prompt engineering, Fine-tuning and parameter-efficient tuning, Agentic orchestration workflows Experience with front end languages such as React, Angular or Javascript etc. Experience in Oracle ATP, 23ai Databases and vector queries Secondary Skill Working experience of implementing semantic matching, fuzzy logic, and similarity scoring algorithms (e.g., cosine similarity, Jaccard, Levenshtein distance) to drive intelligent entry matching in noisy or inconsistent data scenarios. Experience with Finance domain solutions, particularly around reconciliations, journal entry matching, or financial close processes. Understanding of Oracle Cloud Deployment, architecture, networking, Security and other essential components Good to have knowledge of Analytics and Data Science. We are looking for an experienced OCI AI Architect to lead the design and deployment of Gen AI, Agentic AI, and traditional AI/ML solutions on Oracle Cloud. This role requires a deep understanding of Oracle Cloud Architecture, Gen AI, Agentic and AI/ML frameworks, data engineering, and OCI-native services. The ideal candidate combines deep technical expertise in AI/ML and Gen AI over OCI with domain knowledge in Finance and Accounting.

We are seeking a highly experience and motivated Lead Engineer with deep expertise in Generative AI, Machine Learning and Artificial Intelligence . The ideal candidate will drive the design, development and deployment of AI/ML solutions, lead technical teams and collaborate with cross-functional stakeholders to solve real-world problems using cutting-edge technologies. Key Responsibilities: Lead and mentor a team of AI/ML engineers and researchers. Architect and deploy scalable Generative AI solutions (e.g., LLMs, diffusion models, transformers). Design and implement end-to-end machine learning pipelines, including data preprocessing, model training, validation, and deployment. Work with large-scale datasets to develop, fine-tune, and evaluate models. Collaborate with product, design, and engineering teams to integrate AI capabilities into applications. Stay current with the latest research, tools, and trends in AI/ML, and recommend adoption where applicable. Conduct technical reviews and provide guidance on best practices in AI model development. Ensure ethical, secure, and responsible AI development. Must-Have Skills & Experience: 510 years of hands-on experience in AI/ML, including leadership responsibilities. Strong understanding of deep learning , NLP , computer vision , or generative models . Proven experience with Generative AI frameworks (e.g., OpenAI, HuggingFace, LangChain, Diffusers). Proficient in ML libraries and tools such as TensorFlow , PyTorch , scikit-learn , Keras , etc. Solid programming skills in Python ; experience with other languages like Java , C++ , or Go is a plus. Familiarity with cloud platforms (AWS, GCP, Azure) and MLOps practices. Experience deploying models in production environments (APIs, microservices, containers). Strong problem-solving, communication, and analytical skills. Nice-to-Have: Research contributions or publications in AI/ML conferences or journals. Experience working with multi-modal models (text + image + audio). Knowledge of Reinforcement Learning , Prompt Engineering , or AutoML . Exposure to data governance , model explainability , and AI ethics . What we Offer Competitive salary Medical Benefits/Accident Cover Flexi Office Working Hours Fast paced start up

Job Description: We're seeking a Product Owner who serves as the strategic visionary and decision-maker for product development initiatives, balancing business objectives with user needs for Agentic AI platform. This role is responsible for defining and prioritizing the product backlog, ensuring the delivery team builds the right features at the right time, and maximizing the value of the product. The Product Owner acts as the voice of the customer while collaborating closely with stakeholders and development teams. Key Responsibilities: Elicit, analyze, and document detailed business requirements through stakeholder interviews, workshops, and process analysis Translate business needs into functional specifications, user stories, and acceptance criteria Validate requirements with stakeholders and technical teams to ensure alignment and feasibility Manage requirements prioritization and scope changes throughout the project lifecycle Collaborate with product management to develop solution concepts that address business problems Create detailed process flows, wireframes, and functional models to illustrate proposed solutions Conduct gap analysis between current and future states to guide implementation planning Build and maintain strong relationships with key business stakeholders and technical teams Facilitate cross-functional meetings to achieve consensus on requirements and solutions Manage stakeholder expectations regarding solution capabilities and implementation timelines Provide guidance on change management strategies for process implementation Requirements: 6+ years of experience in business analysis or similar role with progressive responsibility Strong understanding of business analysis methodologies and best practices Experience with requirements gathering techniques and documentation standards Proficiency in process modeling, data modeling, and requirements specification Demonstrated ability to manage complex projects with multiple stakeholders Understanding of AI technologies, particularly GenAI solutions

Senior Data Scientist Role Overview: We are seeking a highly skilled and experienced Senior Data Scientist with a minimum of 4 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role. Responsibilities: Your technical responsibilities: Contribute to the design and implementation of state-of-the-art AI solutions. Assist in the development and implementation of AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI. Collaborate with stakeholders to identify business opportunities and define AI project goals. Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges. Utilize generative AI techniques, such as LLMs, Agentic Framework to develop innovative solutions for enterprise industry use cases. Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities. Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment. Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs. Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs. Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly. Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency. Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases. Ensure compliance with data privacy, security, and ethical considerations in AI applications. Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications. Requirements: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. A Ph.D. is a plus. Minimum 4 years of experience in Data Science and Machine Learning. In-depth knowledge of machine learning, deep learning, and generative AI techniques. Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch. Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models. Familiarity with computer vision techniques for image recognition, object detection, or image generation. Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment. Expertise in data engineering, including data curation, cleaning, and preprocessing. Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems. Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models. Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions. Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels. Understanding of data privacy, security, and ethical considerations in AI applications. Track record of driving innovation and staying updated with the latest AI research and advancements. Good to Have Skills: Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models Utilize optimization tools and techniques, including MIP (Mixed Integer Programming. Deep knowledge of classical AIML (regression, classification, time series, clustering) Drive DevOps and MLOps practices, covering CI/CD and monitoring of AI models. Implement CI/CD pipelines for streamlined model deployment and scaling processes. Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines. Apply infrastructure as code (IaC) principles, employing tools like Terraform or CloudFormation. Implement monitoring and logging tools to ensure AI model performance and reliability. Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment. Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models. Kindly apply - https://careers.ey.com/job-invite/1606310/ and Vaishnavi - 9384017399 Contact - vaishnavi@gds.ey.com

About Us: At Novus Loyalty, we are committed to building cutting-edge AI-driven solutions that enhance business performance and user experience. We are currently seeking a skilled and passionate AI Engineer to join our team, with a strong emphasis on Azure AI technologies. Key Responsibilities: Design, develop, and deploy AI models using Azure AI services. Work on various AI domains, including Generative AI, Agentic AI, and other advanced ML models. Collaborate with cross-functional teams to integrate AI solutions into production environments. Conduct data analysis and preprocessing to support model development. Monitor and optimize AI model performance and accuracy. Stay up-to-date with emerging AI technologies, tools, and best practices. Required Qualifications: Minimum 3 years of hands-on experience in AI/ML model development. Proven experience with Azure AI services (e.g., Azure Machine Learning, Cognitive Services, Azure OpenAI). Strong programming skills in Python or other relevant languages. Solid understanding of machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Experience with large language models (LLMs), NLP, or generative AI applications is a plus. Familiarity with MLOps practices and cloud-based model deployment. Excellent problem-solving and communication skills.

4+ years of QA experience - Automation, Python experience is required. Gen AI experience SQL and Database exposure Mandatory.

Client Name: WIPRO Location: PAN INDIA Mode: Hybrid Job Description: Experience Required: 10+ years in AI/ML and Solution Architecture roles (Strong programming and system integration background required) Key Responsibilities: Troubleshoot and fix an existing BERT-integrated Outsystems+AMP solution, including scheduler code debugging. Translate complex business requirements into scalable and integrative AI/GenAI solutions. Architect and guide end-to-end implementation of AI systems aligned with Ericssons target architecture (e.g., TAMP). Lead architectural reviews and support development teams to ensure solution compliance. Manage risks associated with AI models via standard risk assessment protocols. Create, maintain, and own architectural documentation and blueprints. Present technical concepts and designs to stakeholders. Collaborate with cross-functional teams including development and platform teams for successful project delivery. Additional Responsibilities: Apply advanced ML algorithms to solve business problems and drive value. Build and deploy data science solutions at scale (AWS Sagemaker, Kubernetes, Docker). Stay updated with current AI trends and contribute to applied research, innovation, and IP creation (e.g., publications, patents). Deliver insights to business leaders to influence decision-making. Qualifications: Bachelors or Masters degree in Computer Science, Engineering, or related field. Proven track record in delivering AI/ML solutions (preferably in Finance domain). Recognized experience on data science platforms (e.g., Kaggle achievements is a plus). Strong coding background in Python and experience in cloud-native environments. Good to Have: Domain expertise in Finance. Contributions to open-source or research community (e.g., Kaggle, GitHub, papers).

Position overview Work in an innovative and fast paced AI application development team to conceptualize and execute projects to leverage the power of AI/ML and analytics. The work will be related to producing business outcomes for Cloud and Cybersecurity products and services of Novamesh, a wholly owned subsidiary of Tata Communications Ltd. Success in this role requires a mix of data science skills, appreciation of the business, and ability to work across teams. A special focus area of this role would be to identify and execute ideas for creating monetizable product differentiators by working with Domain Experts from individual product teams and acquire domain skills in the process. Detailed job description Develop, Test, and Deploy ML/AI models for various products 10 to 12 Years of industry experience with demonstratable outcomes in field of Data Science Perform data preprocessing, feature engineering and ML/DL model evaluation Optimize and fine-tune models for performance and scalability Good understanding of Statistical, ML, AI models Good understanding of NLP concepts and projects involving entity recognition, text classification, and language modelling like GPT Build and refine RAG models to improve information retrieval and answer generation. Integrate RAG methods into existing applications to enhance data accessibility and user experience. Work closely with cross-functional teams including software engineers, product managers, and domain experts. Document processes, methodologies, and model development for internal and external stakeholders. Go-getter attitude and will to Make it happen" Qualification and Skills Bachelor or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field from reputed institutions. Strong knowledge of probability and statistics. Expertise in machine learning and deep learning skills Hand on experience with GenAI, LLMs and SLMs Strong programming skills Python, PyTorch, Sci-kit, NumPy, Gen AI tools like langchain/llamaIndex , OpenAI SQL, flat file DB, Datalakes, data stores, data frames (Pandas, Cudf etc.) Working knowledge of MLOPs principles and implementing projects with Big Data in batch and streaming mode. Good knowledge of Data Engineering and working knowledge of the same Excellent problem-solving skills and a proactive attitude. Excellent communication skills and teamwork abilities

Assistant Manager AI / Gen AI Data and Analytics team is a multi-disciplinary technology team delivering client projects and solutions across Data Mining & Management, Visualization, Business Analytics, Automation and Statistical Insights and AI/GenAI. The assignments cover a wide range of countries and industry sectors The opportunity We are looking for an assistant manager - AI/GenAI, proficient in Artificial Intelligence, Machine Learning, deep learning and LLM models for Generative AI, text analytics and Python Programming; will be responsible for developing and delivering industry sectors (Financial services; Consumer, product & Retail; Healthcare & wellness; Manufacturing; Supply chain; telecom; Real Estate etc.) specific solutions which will be used to implement the EY SaT mergers and acquisition methodologies. Your key responsibilities Develop, review, and implement Solutions applying AI, Machine Learning, Deep Learning, and develop APIs using Python. Having relevant understanding of Big Data and Visualization would be one-upping. Lead the development and implementation of Generative AI applications using both open source (Llama, BERT, Dolly etc.) and closed source (Open AI GPT models, MS Azure Cognitive Services, Googles Palm, Cohere etc.) Large Language Models (LLMS). Extensively work with advanced models such as GPT , Llama, BERT, RAG and Graph RAG for natural language processing , and creative content generation using contextual information. Design and optimize Agentic RAG solutions leveraging Vector databases for efficient storage and retrieval of contextual data for LLMs. Understand Business and Sectors, ability to identify the whitespaces and opportunities for analytics application. Work and manage large to mid-size projects, and ensure smooth service delivery on assigned products, engagements and/or geographies. Work with project managers to study resource needs and gaps and devise alternative ways forward. Provide expert reviews for all projects within the assigned subject. Ability to communicate with cross functional/competencies teams. Go to Market / Stakeholder Management. . Skills and attributes for success Able to work creatively and systematically in a time-limited, problem-solving environment Loyal and reliable with high ethical standards Flexible, curious and creative, open for new things and able to propose innovative ideas Good interpersonal skills Team player, open, pleasure to work with and positive in a group dynamic Intercultural intelligence and experience of working in more than one country and/or multi-cultural teams with distributed delivery experience Ability to manage multiple priorities simultaneously to meet tight deadlines and drive projects to completion with minimal supervision To qualify for the role, you must have Experience of guiding teams on Projects focusing on AI/Data Science and Communicating results to clients Familiar in implementing solutions in Azure Cloud Framework Excellent Presentation Skills 5- 12 years of relevant work experience in developing and implementing Agentic GenAI/AI, Machine Learning Models- experience of deployment in Azure is preferred Experience in application of statistical techniques like Linear and Non-Linear Regression/classification/optimization, Forecasting and Text analytics. Familiarity with deep learning and machine learning algorithms and the use of popular AI/ML frameworks Minimum 4 years of experience in working with NLG, LLM, DL Techniques Relevant understanding of Deep Learning and neural network techniques Expertise in implementing applications using open source and proprietary LLM models Proficient in using Langchain-type orchestrators or similar Generative AI workflow management tools Minimum of 5-6 years of programming in Python Experience with the software development life cycle (SDLC) and principles of product development Willingness to mentor team members Solid thoughtfulness, technical and problem-solving skills Excellent written and verbal communication skills Ideally, you’ll also have Ability to think strategically/end-to-end with result-oriented mindset Ability to build rapport within the firm and win the trust of clients Willingness to travel extensively and to work on client sites / practice office locations What we look for A Team of people with commercial acumen, technical experience and enthusiasm to learn new things in this fast-moving environment An opportunity to be a part of market-prominent, multi-disciplinary team of 3500 + professionals, in the only integrated global transaction business worldwide. Opportunities to work with EY SaT practices globally with prominent businesses across a range of industries What we offer EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations – Argentina, China, India, the Philippines, Poland and the UK – and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career. Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next. Success, as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way. Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs. Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

About this role: Wells Fargo is seeking a Senior Lead business execution consultant In this role, you will: Act as a Business Execution advisor to leadership to drive performance and initiatives, and develop and implement information delivery or presentations to key stakeholders and senior management Lead the strategy and resolution of highly complex and unique challenges related to Business Execution that require solid analytical skills, extensive knowledge of Business Execution, and understanding of business, delivering longer term and large scale solutions Provide vision, direction, and expertise to senior leadership for implementing innovative and significant business solutions that are large scale and cross organizational Lead team meetings or steering committee to facilitate decision making and support implementation of recommendations and plans Strategically engage with all levels of professionals and managers across multiple lines of businesses and serve as an experienced advisor to the leadership Provide direction to a cross functional team using business expertise Required Qualifications: 7+ years of Business Execution, Implementation, or Strategic Planning experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: Bachelors or Masters degree in Computer Science, Information Technology, Business Administration, or a related field. Proven experience in innovation roles within the banking or financial services industry, preferably within a global capability center (GCC) or captive unit. Strong understanding of banking processes and the financial services industry. Demonstrated expertise in emerging technologies, including generative AI, agentic AI, Data Engineering, Data Mining & Visualization, machine learning, NLP, and intelligent automation. Exceptional research and analytical skills, with the ability to translate complex data into actionable insights. Excellent project management skills, with a track record of successfully leading innovation projects. Outstanding communication and presentation skills, with experience in content creation and delivering innovation roadshows. Ability to work collaboratively in a cross-functional team environment and manage relationships with diverse stakeholders. Job Expectations: We are seeking a dynamic and forward-thinking Innovation and Incubation specialist with hands on experience to join our team. In this role, you will be instrumental in identifying and researching emerging technologies, developing innovative solutions, and leading industry research & Market study to identify platforms which help in digital transformation journey within bank. Your expertise in generative AI, intelligent automation, and market analysis will be crucial in shaping the future of our banking operations. Emerging Technology Research: Stay abreast of the latest technological trends, with a focus on generative AI, agentic AI, fintech, Data Engineering, Data Mining & Visualization, machine learning, NLP/NLG, and intelligent automation, to identify opportunities for innovation within banking processes. Solution and Platform Identification: Evaluate and recommend new technologies, platforms, and solutions that align with the banks strategic objectives and have the potential to enhance operational efficiency and customer experience. Market and Industry Analysis: Conduct comprehensive market research and industry analysis to understand competitive landscapes, identify market opportunities, and inform strategic decision-making. Process Understanding and Improvement: Analyze existing banking processes to identify areas for improvement and develop innovative solutions that streamline operations and enhance service delivery. Innovation Roadshows and Content Creation: Develop and deliver engaging presentations, newsletters, and other content to communicate innovation initiatives and foster a culture of innovation within the organization. Proof of Concept Development: Lead the development and execution of proof-of-concept projects to validate the feasibility and value of new technologies and solutions. Project Management: Oversee innovation projects from inception to completion, ensuring timely delivery, effective communication, and alignment with strategic goals.

Responsibilities: * Develop generative AI models using Python & Large Language Models. * Optimize ML algorithms for performance and accuracy. * Collaborate with cross-functional teams on project delivery.