633 Gen Ai Jobs - Page 20

About the Role: Grade Level (for internal use): 10 The Role Project Manager, Collection Platforms and AI The Team Collection Platforms and AI team is responsible for driving key automation projects, AI/ machine learning based solutions, collection platforms and lean initiatives across Enterprise Data Organization. We are responsible for creating, planning, and delivering transformational projects for the company using state of the art technologies and data science methods, developed either in-house or in partnership with vendors. We are transforming the way we are collecting the essential intelligence our clients need to do decisions with conviction, delivering it faster and on a scale while maintaining the highest quality standards. The Impact This role will be a part of IT Product Management and will work in a team responsible for leading the project management side of strategic initiatives related to the area of Data Science, ML, Gen AI /LLM based solutions. The role involves creating and maintaining the momentum with stakeholders, focusing on value and incremental results while continuously looking for the latest and newest technologies and machine learning solutions available for various uses cases across the Market Intelligence Division. Whats in it for you: You will be part of a team at the center of the transformation of a Fortune 500 company. You will be spearheading the strategic projects, witnessing the whole project life cycle, and deploying the end-to-end machine learning based data extraction solution. You will be working closely with stakeholders of various teams to understand their business challenges and to provide cuttingedge solutions to them. You will be getting immense exposure to commercial discussion with the vendors and will actively participate in the discussion with Legal, Finance and Technology teams. You will be part of a diverse, global and dynamic team. Responsibilities Interpret project requirements analyze and develop project plans, , and lead an end-to-end execution of the project. Engage with business leads and peers, interfaces with leaders across the organization. Builds strong internal and external relationships and ensures service quality and customer satisfaction Act as an extension of our client service model ensuring seamless service delivery across Business Operations for our clients. Actively participate in the evaluation of machine learning based & other solutions and lead the proof of concept for those solutions in collaboration with the Data Operations team and vendor. Build, synthesize and present strategic insights and recommendations to the stakeholders and ensure continuous communication with project stakeholders. Partner with Data teams and SMEs to drive the adoption of data standards, definitions, structures, hierarchies, taxonomies, attributes, and models to support and optimize end-to-end business solutions. Partner with IT and Scrum Teams to develop documentation and communication of system and process requirements to ensure smooth implementations. Act as a link between Scrum teams and vendor for any technical requirement. What are we looking for Basic Qualifications 7 + years of project management experience with a proven track record of leading and/or collaborating with teams, operations, and vendors in complex global matrix structures and business models. Technical experience/background in similar projects especially related to implementation of Data science, machine learning and Gen AI/LLM based projects Passion for understanding, learning, and identifying the latest technology trends and machine learning based solutions. Ability to drive initiatives independently, with minimal supervision, yet ensuring transparency to team members, SMEs, and other stakeholders. Ability to effectively communicate and collaborate with the key stakeholders to work towards generating value for the organization. Open-minded professional enjoying and used to working in a multicultural company. Preferred Qualifications Certified Project Management Professional or PRINCE2 is a plus Machine Learning, Gen AI/LLM and Cloud exposure Demonstrable track of continuous self-learning is valued. A degree in a relevant field such as Computer Science, Engineering and Data Science is preferred SAFe/Agile

Role & responsibilities Technical Expertise Proficient in designing and developing end-to-end RPA solutions using UiPath, with strong experience in UiPath Studio, Robots, Orchestrator, and associated tools. Ability to design and implement automation solutions based on business and technical requirements, collaborating with Business Analysts to convert manual rules into automated commands. Conduct architectural evaluation, design, and analysis of automation deployments; review technical documentation and serve as an escalation point for automation issues. Drive best practice design and development of reusable and scalable components, including the identification of reusable elements, queues, and configurable parameters. Capable of analyzing complex processes and converting them into automated workflows; integrate UiPath solutions with enterprise applications, databases, APIs, and web services. Execute automation testing rigorously, including unit testing, user acceptance testing, bug fixes, and peer code assessments. Demonstrated experience in RPA solution architecture and best practices, along with responsibility for knowledge transfer to team members. Ability to troubleshoot and resolve technical issues related to UiPath solutions effectively. Solid understanding of software development life cycle (SDLC) and agile methodologies. Non-Technical Skills Excellent verbal and written communication skills for effective collaboration with stakeholders, team members, and clients; ability to explain complex technical concepts to non-technical audiences. Strong analytical and problem-solving skills with the ability to think critically and make decisions under pressure, ensuring effective solutions. Experience in managing projects, including planning, execution, monitoring, and prioritizing tasks to meet deadlines. Ability to work well in a team environment, collaborate with cross-functional teams, and build positive relationships with strong interpersonal skills. Adaptability to changing requirements and working in a fast-paced environment; eagerness to learn new technologies and continuously enhance skills. Demonstrated leadership skills to guide and mentor junior developers, with initiative in driving projects to successful completion. Ability to work independently and identify opportunities for additional value. Familiarity with the insurance domain is beneficial.

Job Title: GenAI Engineer (Senior/Lead) Industry: AI/ML, Enterprise Applications, Healthcare (if applicable) Role Summary: We are seeking an experienced GenAI Engineer to integrate LLM APIs, build AI-driven applications, optimize model performance, and deploy AI services at scale. The ideal candidate has expertise in Python-based AI development, LLM orchestration, cloud deployment, and enterprise AI integration. Key Responsibilities: AI Application Development: Build and maintain Python-based AI services using LangChain and CrewAI. Implement RAG-based retrieval and Agentic AI workflows. LLM Integration & Optimization: Integrate OpenAI, Bard, Claude, Azure OpenAI APIs. Optimize API calls using temperature, top-p, max tokens, and reduce hallucinations using embedding-based retrieval (FAISS, Pinecone). Model Evaluation & Performance Tuning: Assess AI models using Model Scoring, fine-tune embeddings, and enhance similarity search for retrieval-augmented applications. API & Microservices Development: Design scalable RESTful API services. Secure AI endpoints using OAuth2, JWT authentication, and API rate limiting. Cloud Deployment & Orchestration: Deploy AI-powered applications using AWS Lambda, Kubernetes, Docker, CI/CD pipelines. Implement LangChain for AI workflow automation. Agile Development & Innovation: Work in Scrum teams, estimate tasks accurately, and contribute to incremental AI feature releases. Tech Stack & Tools: AI/ML: PyTorch, TensorFlow, Hugging Face, Pinecone LLMs & APIs: OpenAI, LangChain, CrewAI Cloud & DevOps: AWS, Azure, Kubernetes, Docker, CI/CD Security & Compliance: OAuth2, JWT, HIPAA Preferred Qualifications: Experience with AI/ML, LLM integrations, and enterprise cloud solutions. Proven expertise in GenAI API orchestration, prompt engineering, and embedding retrieval. Strong knowledge of scalable AI architectures and security best practices. Notice Period - immediate to 45 days

Requirement: Automation: (Mandatory): Expertise in test automation using Selenium with Java/C#, integrated with TestNG and Cucumber for BDD-style frameworks. API automation using tools such as Postman, Rest Assured (Java), Karate, or RestSharp (C#) for validating RESTful services and integrating them within end-to-end test suites. Proficient in Web UI, API, and Mobile automation using tools like Playwright or Cypress, and Appium , with strong experience in writing modular and reusable test components. Strong programming skills in Java, C# or Python Integration of test automation with cloud-based execution platforms such as Browser Stack or Lambda Test for cross-browser and cross-platform compatibility testing. Skilled in Database and ETL testing , ensuring data accuracy, integrity, and validation across source, transformation, and target systems. Note: *Not limited to the above-mentioned tools. Performance Testing: (Mandatory): Strong experience in Performance Testing using JMeter or K6 , including test planning, script design, and analysis of system behaviour under load. CI-CD: (Good to have): Experience building and managing CI/CD pipelines using tools like Jenkins, GitHub Actions,etc., and integrating automated tests with deployments on AWS, Azure, or GCP . Docker: (Good to have): Skilled in containerizing automation frameworks using Docker to enable isolated, scalable, and repeatable tests. Generative AI: (Good to have): Good Understanding on Gen AI-based application testing , including prompt evaluation, LLM Metrics, LLM response validation , grounding checks, and ensuring alignment with context and user intent. Certification Expectations : (Optional): AWS Certified Cloud Practitioner AWS Certified Solution Architect Associate AWS Certified AI Practitioner Microsoft Certified: Azure Fundamentals Microsoft Certified: Azure AI Fundamentals Responsibilities: Be a thought leader and advisor on the Technology for QA practice to take the team to the next level from the current state to the next level Represent QA Practice with Sales, Pre-sales, and other customer discussions as needed to gain the trust and put together the QA strategy and win business. Always curious and out of the box thinking in designing and architecting solutions Define and implement advanced test strategies, automation frameworks, and QA best practices to ensure comprehensive coverage of both functional and non-functional requirements. Lead QA teams to deliver high-quality releases aligned with business goals and technical standards. Drive automation and performance testing initiatives for scalable, enterprise-grade applications. Evaluate and integrate emerging testing tools, frameworks, and AI/ML capabilities; drive POCs and adoption strategies. Collaborate with Delivery Managers, Lead Engineers, Product Owners, and other stakeholders to define clear QA scope and acceptance criteria. Conduct reviews of test automation code to maintain high standards and enforce quality practices. Implementing Effective test strategies for Generative AI-based application and evaluating LLM response. Stay current with industry trends, emerging technologies, and AI innovations; develop initiatives to up-skill the QA team and modernize testing approaches. Address and resolve team escalations by aligning with delivery managers and other stakeholders. Provide ongoing technical support, mentorship, guidance, and clarification to QA and development teams.

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"

V2Soft India Pvt Ltd Experience: 10+ years of experience in the field of AI and ML ( Machine Learning ) Overall Experience : Location: Bangalore and Chennai Work Mode: Hybrid Mode: Notice Period: Immediate to 30 days Experience : 3 Years of relevant experience and previous work in any related AI is a plus. Gen AI Experience Text embeddings Vector DB AI Frameworks [ Lang chain / Lama Index/ Language Graph ] Prompt Engineering & Techniques RAG ( Retrieve Augment and Generate ) MCP ( Model Context Protocol ) Agentic AI LLM ( Large Language Models , both open source and proprietary ) Measuring Model Accuracy Deploying Models on-prem and on the cloud

At least 1 year experience in light and medium level copy editing for STM, humanities and social sciences books Good command of English language Passion for copy editing Proficient in Microsoft Word Good analytical skills Ability to work productively in a team

Gen AI+AWS Skill-Gen AI,AWS,AI Platform,Python,Tensorflow,Langchain,LLM Model,ML Development, AWS Lambda,AWS Bedrock,Data Extraction Exp-3-9YRS In Gen AI AWS PKG Upto-25LPA Loc- Bang, Pune NP-Imm-30Days Ritika-8587970773 ritikab.imaginators@gmail.com Required Candidate profile Gen AI + AWS Mandatory Skill-Gen AI, AWS,AI Platform, Python, Tensor flow, Lang chain, LLM Model, ML Development, AWS Lambda, AWS Bedrock, AWS AI, Data Extraction, GEN AI Solution, RPA Tool

Gen AI+AWS Skill-Gen AI,AWS,AI Platform,Python,Tensorflow,Langchain,LLM Model,ML Development, AWS Lambda,AWS Bedrock,Data Extraction Exp-4-12YRS In Gen AI AWS PKG Upto-25LPA Loc-Bang, Pune NP-Imm-30Days Ritika-8587970773 ritikab.imaginators@gmail.com Required Candidate profile Gen AI + AWS Mandatory Skill-Gen AI, AWS,AI Platform, Python, Tensor flow, Lang chain, LLM Model, ML Development, AWS Lambda, AWS Bedrock, AWS AI, Data Extraction, GEN AI Solution, RPA Tool

The Impact: This role would involve leading a team of ~15 Data Researchers as well as planning, prioritization, and execution on BAU (Business as Usual) activities, projects & initiatives. The role requires sound knowledge of workflow, collection processes and good coordination among peers across all offices to ensure accurate & timely collection of data. What is in it for you: This is an opportunity to lead the individual contributors, daily management of data collection workflow, quality check and maintenance processes to contribute towards achievement of larger level team goals. It also includes an opportunity to understand business objectives, recommend & implement solutions to business problems. It gives you opportunities to ideate and implement projects to achieve higher accuracy of dataset and faster completion of processes. Being a part of one of the biggest content teams with a lot of diversified individuals that are committed to work on one common goal providing the best client experience, you will be able to learn from your peers and share your experience as well. Responsibilities: Should successfully lead and manage a team of individual contributors, virtually & in person to establish goals aligned to overall domain objectives and ensure that expected results are delivered on time, monitor and measure individual and team performance periodically Creating an environment of consistent improvement, motivating the team to perform at a higher efficiency, fostering a culture and initiatives that focus on team building and unity Coordinate with team leads and managers across all offices or other teams as required and work closely on deliverables, projects, or initiatives as required Ensuring clear and transparent communication across all levels and teams. Own and is accountable for the performance of the team and the effectiveness of the production process Responsible for collecting feedback, working on testing, and all other tasks associated with the development of collection tools and systems Present and execute ideas for improving overall departmental processes, procedures, and tools Continuously implement and innovate techniques to maximize productivity Prepare various production and quality metrics and reports and ad-hoc analysis highlighting the status and/or progress of relevant matters to be worked/resolved Work on workflow analysis, monitoring, and resource allocation as daily operational activity Manage the performance of team members and conduct reviews Conduct intensive training for the team, Plan resource requirements, and develop back-up and succession plans Manage the aspirations of team members and create an environment of continuous improvement. What We are Looking For: Strong analytical and problem-solving skills Self-motivated individual with the ability to execute independently. Good problem-resolution skills through effective collaboration with various stakeholders Understanding of Lean/ Six Sigma and basics of Gen AI Capacity to give and accept feedback constructively and provide coaching to the team. Exceptional oral and written communication skills Flexibility to work across various shifts including night shift on a rotational or need basis People management skills, ability to build and motivate a team Maintains high ethical standards personally and professionally, to maintain transparency in the team. Detailed analysis Proven ability to work with minimal direction, and maintain focus while working on routine tasks Good knowledge of the General Fundamentals Domain and knowledge of Fundamentals data collection is required Basic knowledge of Excel and SQL would be an added advantage Understanding of lean principles, Blue Prism, Python, Tableau, Six Sigma certification, and SQL would be an added advantage An Experienced lead data analyst with the above-mentioned skills is preferred.

Job Title: Tech Lead, Prompt Engineering Report To: Prompt Engineering Manager Location: Bangalore/Hyderabad/chennai/coimbatore Position: Full-time Department: Annalect Engineering Position Overview Prompt Engineer is an emerging role at Annalect, which plays a key role in developing our advanced generative AI capabilities. Prompt engineers work closely with business, product, and engineering stakeholders to create valuable and amazong AI capabilities with LLMs and other AI capabilities. Key Responsibilities: Develop and evaluate prompts for AI agents, chatbots, and other capabilities. Develop monitoring techniques to check the accuracy and performance of models during development and production. Test and analyze outputs from AI by experimenting with different prompts/techniques. Work with application and QA teams to implement monitoring and CI/CD Combine correct techniques for querying data in alignment with the capabilities for prompts Required Skills At least 5+ years of previous software engineering experience. Working experience of common software development techniques, including git, github/bitbucket pull request workflows, and intermediate python (ruby, C#, or other server language) Proven ability to write clear and specific instructions for LLM and diffusion models Experience with interactive problem-solving techniques. Familiarity with iterative design methodologies. Strong problem-solving and analytical skills. Solid knowledge of data structures, data formats, and data modeling Understanding (and preferrable practical experience) with common software architecture patterns, ability to reason about different components of the software stack Passion for Technology: Excitement for new technology, bleeding edge applications, and a positive attitude towards solving real-world challenges Excellent communication and collaboration skills Additional Skills BS, MS, in Computer Science, Computational Linguistics, or a related field, or equivalent real-world experience Knowledge of Vector databases such as Pinecone or Milvus with experience in at least one type of databases (MSQL/ PSQL) Experience with LangChain and Weights & Biases is a plus Familiarity with big data technologies such as Hadoop, Spark, and Hive Proven ability to independently execute projects from concept to implementation and to maintain a live product Perks of Working at Annalect Culture. We have an incredibly fun, collaborative and friendly environment, and often host social and learning activities such as game night, speaker series, and so much more! Generous vacation policy. Paid time off (PTO) includes vacation days, personal days, and a Summer Friday program. Extended time off around the holiday season. Our office is closed between Xmas and New Year to encourage our hardworking employees time to rest, recharge and celebrate the season with family and friends. As part of Omnicom, we have the backing and resources of a global billion-dollar company, but also have the flexibility and pace of a startup - we move fast, break things, and innovate. We are an equal opportunity employer. Annalect, a division of Omnicom Media Group, reaffirms its commitment to the policy of Equal Employment Opportunity and to carrying out this policy at all of its offices. It shall be the policy of Omnicom Media Group to (1) recruit, select, hire, train, promote, pay, discipline and terminate employees in all job classifications without regard to age, race, color, creed, national origin, citizenship status, alienage, religion, sex, sexual orientation, marital status, veteran status, disability or any other basis upon which discrimination against or harassment of employees or applicants for employment is prohibited under any applicable federal, state or local equal opportunity employment laws and (2) ensure that all personnel actions are administered without discrimination in violation of applicable law. annalect.com

Position: Lead Data Scientist (Agentic Ai) Location: Chennai Reporting to: Associate Director Job Summary: As a Technical Lead for Agentic AI Workflow Development, you will be responsible for designing, developing, and implementing advanced AI-driven workflows. You will lead a team of developers and collaborate with cross-functional teams to deliver high-quality solutions that meet business needs. Job Description: - Lead the end-to-end development of Agentic AI workflows, including Autogen, Llama, and Langgraph integration. - Design and implement solutions using large language models (LLMs) such as ChatGPT, Gemini, and Llama. - Develop and maintain scalable architectures on hyperscaler platforms (Azure, AWS, Google Cloud). - Utilize Python for backend development and automation tasks. - Ensure effective database management with a strong understanding of both SQL and NoSQL databases. - Troubleshoot and resolve technical issues in a timely manner. - Oversee the orchestration of jobs, including queuing and load balancing for optimal performance. - Collaborate with stakeholders to identify and implement real-world use cases, focusing on document-related solutions and agent interactions. - Mentor and guide junior developers, fostering a culture of continuous learning and improvement. Profile Description: - Bachelor’s degree in Computer Science, Engineering, or a related field; Master’s degree preferred. - Proven experience as a Technical Lead or similar role in AI/ML development. - Strong proficiency in Python and experience with relevant libraries and frameworks. - In-depth knowledge of large language models (LLMs) and their applications. - Experience with hyperscaler architectures (Azure, AWS, Google Cloud). - Solid understanding of SQL and NoSQL databases, with hands-on experience in database design and management. - Excellent troubleshooting skills and the ability to solve complex technical problems. - Demonstrated experience in developing and deploying at least three real-world use cases involving document processing, auto agents, and orchestration. - Strong communication and leadership skills, with the ability to work collaboratively in a team environment. - Familiarity with AI frameworks and tools related to workflow automation. - Experience with containerization and orchestration tools (e.g., Docker, Kubernetes). - Knowledge of CI/CD practices and tools.

Skill Set : AI,Machine Learning,NLP,Gen AI Job Description: Leading a team of data scientists with roadmap and vision. Planning data projects. Building analytic systems and predictive models. Managing a team of data scientists, and machine learning engineers. Involve in pre-sales and building proposals.

Job Description: Agentic AI solution designer: Strong one. .Someone who is well verse with AWS bedrock agentic AI solution. However at same time also able to support other open source agentic frameworks and hyperscaler based solution design. This person has to be vocal, good communication as will be working with client delivery team in close proximity. AI consultant : hand on expert that can look at the design and convert to the prototyping in 2-3 week time frame so that it could be demoed to client. AWS Bedrock Competence: Demonstrated proficiency in utilizing and integrating with Amazon Bedrock, including a strong understanding of its foundation models and capabilities. GenAI Agents: Deep understanding of the concepts, architectures, and practical implementation of Generative AI Agents, including experience with relevant frameworks and methodologies. Python Language: Excellent programming skills in Python, with experience in developing and deploying applications. Solution Design Leadership: Lead the technical design and architecture of innovative GenAI Agents App solutions tailored to meet specific customer requirements and business objectives. Customer Engagement: Act as the primary technical point of contact during the pre-sales process, effectively communicating the value proposition and technical capabilities of our GenAI Agents offerings to both technical and non-technical audiences. Requirements Gathering: Deeply understand customer business challenges and translate them into clear, concise technical requirements and solution specifications. Proposal Development: Create compelling technical proposals, presentations, and demonstrations that showcase our GenAI Agents App solutions and their potential impact. Technical Consultation & collaboration: Work closely and provide expert technical guidance and support to the sales team service delivery and customers units throughout the pre-sales cycle. Solution Presentation: Confidently present proposed solutions, address technical questions, and articulate the technical advantages of our offerings. Hands-on Development: Actively participate in the design, development, and prototyping of new features, functionalities, and improvements for our GenAI Agents platform. Proof of Concept (POC) Development: Build and demonstrate functional POCs to validate technical feasibility and explore new application areas for GenAI Agents. Code Contribution: Write efficient Python code for R&D projects.

Were Hiring | AI Data Analyst (8+ Years, Tech Lead Level) Location: Mahape, Navi Mumbai (Hybrid Work from Office) Joining: Immediate Joiners Preferred Role Overview We are looking for an experienced AI Data Analyst with 8+ years of professional experience, including leadership in tech projects. The ideal candidate should have strong expertise in Python , Machine Learning , AI APIs , and Large Language Models (LLMs) . Youll work on cutting-edge AI solutions, including vector-based search and data-driven business insights. Experience Must Include 2+ year of hands-on experience as a Data Analyst 1+ year of practical experience with AI systems (LLMs, AI APIs, or vector-based search) 2+ years of experience working with Machine Learning models/solutions 5+ years of hands-on Python programming Exposure to vector databases (e.g., pgvector, ChromaDB) is a plus Key Responsibilities Perform data exploration, profiling, and cleaning of large datasets Design, build, and evaluate ML and AI models to solve real-world problems Leverage LLM APIs, foundation models, and vector databases to deliver AI-driven insights Build end-to-end ML pipelines from preprocessing to deployment Create dashboards and visualizations for reporting and analysis Analyze model outputs and provide actionable insights to stakeholders Collaborate with engineering, product, and business teams to scale AI solutions Required Technical Skills Data Analysis Experience with real-world datasets, EDA, and data wrangling Visualization using Pandas, Seaborn, Plotly Machine Learning & AI Practical experience in classification, regression, clustering techniques Experience with Generative AI, LLMs, OpenAI/Hugging Face APIs, vector search Knowledge of RAG architecture and modern AI design patterns Skilled in model evaluation and hyperparameter tuning Programming & Tools Proficiency in Python (5+ years), with strong use of scikit-learn, NumPy, Pandas Expertise in SQL/PostgreSQL Hands-on experience with vector databases like pgvector, ChromaDB Familiarity with LLMs, embeddings, and foundation models Exposure to cloud platforms (AWS/SageMaker), Git, REST APIs, and Linux Nice to Have Experience with Scrapy, SpaCy, or OpenCV Knowledge of MLOps, model deployment, CI/CD pipelines Familiarity with PyTorch or TensorFlow Soft Skills Strong analytical thinking and problem-solving abilities Excellent verbal and written communication Self-motivated, proactive, and a great team player To Apply: Send your resume to [Insert Email] or apply via kajal.uklekar@arrkgroup.com Lets shape the future of AI together! Thanks & Regards, Kajal Uklekar Arrk Group Senior Manager-Talent Acquisition www.arrkgroup.com

Design, develop, and deploy advanced Gen AI models to solve complex problems Proficiency in Python and AI frameworks (TensorFlow, PyTorch) Knowledge of RAG, prompt engineering, and NLP fine-tune, and maintain AI models, language models and RAG system

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

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.

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JD For Lead Data Scientist Job Location : Indore, Pune, Hyderabad & Delhi Designation: Lead Data Scientist We are seeking a highly motivated and experienced Lead Data Scientist to join our growing team. In this role, you will be responsible for leading complex data science projects, mentoring junior data scientists, and driving the development of innovative solutions that leverage data to achieve business objectives. You will apply your deep expertise in machine learning, statistical modeling, and data analysis to extract actionable insights and drive strategic decision-making. Job Type: Full-time Responsibilities: End-to-end delivery ownership of ML and GenAI use cases. Architect RAG pipelines and build enterprise-scale GenAI accelerators. Collaborate with architects and presales teams. Ensure code modularity, testability, and governance. Required Skills: LangChain, LangGraph, embedding techniques, prompt engineering. Classical ML: XGBoost, Random Forest, time-series forecasting. Knowledge of Python ML stack and FastAPI. Strong understanding of security and cloud optimization.

Overview Wipro is looking for senior business development leaders to expand our footprint in Global Capability Center (GCC) segment. The candidate will be a GCC specialist and collaborate with Wipro market units, global business lines and external partners to drive business growth. The ideal candidate should have extensive experience in selling services (IT/BPO/ERD) to Global clients across the GCC lifecycle (from setup to center expansion and exit/carveout) and should be able to position Wipro as a strategic partner Key responsibilities: Develop and cultivate relationships with GCC Center heads/key India leadership identify critical business priorities and strategically align Wipro offerings Be Wipros face to the GCC ecosystem in India Work closely with SMU teams (GAEs/Hunting teams) to identify and develop GCC opportunities - both existing accounts and new logos Assess clients business and market/competition trends for potential high value/large deals (setup, transformation, vendor consolidation, COE setups, carve out/exit etc.) Anchor client conversations and solutioning process in collaboration with global account executives (GAEs) and practice teams Supplement sector/account planning and forecasting process with GCC business potential Design and execute strategic initiatives to expand Wipros brand presence (in partnership with SMUs, GBLs, marketing teams and external partners) Leverage external partners, analysts and advisors for market development Desired experience/profile: ~12-15 years experience in consultative selling delivery of technology services to global clients Good level of technical/solution expertise- delivery experience preferable Ability to construct and sell high value strategic deals to client CXO stakeholders Significant understanding of GCC functioning and priorities of GCC Center Heads/Key leadership. Ability to connect with client stakeholders on: o Key business issues (delivery challenges, program portfolio, operational improvement, talent scale up, innovation, internal sponsorship, value enhancement etc.) o Strategic technology topics (e.g. AI/GenAI, Platform engineering etc.) Well versed with the GCC ecosystem in India market trends, regulations, competition/partner landscape, key government policies etc. Good understanding of global delivery models and GCC engagement constructs (BOT, GCC-as-a service, JV etc) Ability to work collaboratively in a matrix organization and drive strategic growth initiatives with market units and practices Experience of market development with support of external ecosystem (advisors, analysts, deal influencers etc.) Preferred industry experience: Software products, BFSI, Telecom, Manufacturing (Automotive, Industrial), Energy Utilities Reinvent your world.We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

3+ YOE experience in Gen AI is mandatory. Should be open for 5 Days Work From Office General Shift timings Candidates from Noida/Greater Noida who are comfortable to work in general shifts with Work From Office only apply. "KASHIF@D2NSOLUTIONS.COM"

About BU: Home to creative hearts and technologists alike, our Digital Media Solutions team is a highly engaged and driven group. They help the worlds leading organizations enhance digital media performance by delivering meaningful human experiences, backed by a visionary product and our data prowess. A full-service powerhouse with multiple verticals and growing teams, these digital disruptors navigate consumer journeys on nearly every consumer device in the US. This team works on Adtech data at internet scale, using the latest innovative open-source technologies. How You’ll Make an Impact: Reporting directly to the Senior Manager of AOPS team, you will play a key role as a Senior Data Analyst in designing and delivering AI-based analytical solutions to support and elevate analytics within Epsilon’s Digital Media Solutions. The primary responsibilities of the Data Intelligence team within AOPS involve design and development of new AI-based automated analytics solutions, tools, and applications, which expands the capabilities of Epsilon’s analytics application platforms and significantly improve the productivity of our analytics teams by streamlining cost, reducing time and effort, and boost client satisfaction. You’ll collaborate closely with Analytics and Engineering teams, fostering multi-functional partnerships to drive impactful results. Click here to view how Epsilon transforms marketing with 1 View, 1 Vision and 1 Voice. What You’ll Achieve: Develop end-to-end AI solutions, from data preprocessing and model training to deployment and monitoring. Optimize models for performance, accuracy, and scalability across various deployment environments. Expand your understanding of the digital marketing retail media landscape and discover how our analytics solutions improve value for Epsilon’s clients. Unlock significant growth opportunities within Data Intelligence and across AOPs, with pathways for leadership and people management. Collaborate closely with Analytics teams to design and develop innovative AI solutions. What You are: A Master’s or Bachelor’s degree in Data Science, Computer Science, or a related technical field. 5-8 years of professional experience in designing and developing AI-based analytical tools and applications, data processing, report automation, and dashboard platforms. Hands-on experience in developing solutions using Large Language Models (LLMs). Ability to perform thorough data driven comparative analysis and demonstrate differences between multiple solution approaches. Proficiency in distributed data platforms (such as Greenplum and Hadoop) and data intelligence tools (Databricks, Tableau), along with development skills in Python and SQL. Ability to create visually compelling, interactive dashboards. Demonstrable ability to collaborate multi-functionally and effectively discuss requirements. Experience in software development within Agile frameworks including related project tracking tool like Git, JIRA, Confluence. Experience in validating AI solutions.

As a Manager, Machine Learning Engineering, you will collaborate with cross-functional teams to strategize, develop, and deliver machine learning models tailored to meet specific business objectives. You will be responsible for overseeing the entire lifecycle of these models, from data preprocessing and algorithm selection to performance evaluation and seamless integration into production systems. This role has a specific focus on Generative AI . Your Impact: What You'll Achieve As a Manager, Data Science specializing in Generative AI, you will: Lead AI-Driven Innovations: Drive the development of state-of-the-art AI and machine learning solutions that transform business strategies and deliver exceptional customer experiences. Strategic Collaboration: Work closely with cross-functional teams, including product managers, data engineers, and business stakeholders, to define and execute data-driven solutions aligned with organizational goals. Foster a High-Performance Team: Build, mentor, and lead a team of talented data scientists, cultivating a culture of innovation, collaboration, and continuous learning. Deliver Business Impact: Translate complex business problems into AI/ML solutions by leveraging advanced techniques such as generative AI, deep learning, and NLP , ensuring measurable outcomes. Optimize AI Pipelines: Oversee the development and deployment of scalable, efficient, and robust machine learning pipelines that address latency, responsiveness, and real-time data processing challenges. Customize AI Models: Direct the customization and fine-tuning of AI models, including large language models (LLMs) and other generative AI technologies, to meet domain-specific requirements. Promote Data-Driven Decision-Making: Advocate for data-centric approaches across teams, ensuring data quality, integrity, and readiness to maximize model performance and business impact. Develop Intelligent AI Agents: Architect and refine AI agents that solve complex business challenges, leveraging LLMs to deliver personalized, user-centric solutions. Advance Generative AI Applications: Innovate with cutting-edge generative AI models such as LLM, VLM, GANs, and VAEs to create tailored applications for dynamic content creation, predictive analytics, and enhanced automation. Scale AI with Cloud Technology: Deploy and scale LLM-based solutions on platforms like GCP, AWS, and Azure to address real-world business problems with precision and efficiency. Stay at the Cutting Edge: Keep up-to-date with emerging trends and innovations in AI and data science, identifying opportunities to incorporate the latest advancements into projects. Responsibilities Design AI Systems: Build AI agents for tasks such as content compliance, asset decomposition, and contextual personalization. Develop NLP Pipelines: Implement advanced NLP solutions for search relevance, intent detection, and dynamic content generation. Integrate Multi-Modal Systems: Combine data modalities such as text, images, and metadata for enriched user interactions and insights. Optimize AI Pipelines: Innovate in latency reduction, scalability, and real-time responsiveness for AI systems in production. Collaborate on AI Innovation: Work with business stakeholders to identify opportunities and deliver impactful AI-driven solutions. Qualifications Your Skills & Experience Overall Experience: 8 to 15 years of experience. Generative AI Experience: At least 2 years of Gen AI experience . LLM Fine-tuning: Fine-tuning experience with Large Language Models (LLMs, VLLMs, or Vision models) . Distributed Training/Inference: Experience with distributed training or inference frameworks like Ray, vllm, openllm, bentoML etc. Generative AI Frameworks: Experience with frameworks like LangChain, Llamaindex for building maintainable, scalable Generative AI applications. LLM Deployment/Optimization: Deployment experience or optimized hosting experience of Large Language Models (LLMs, VLLMs, or Vision models) . Vector Databases: Experience working with any Vector database like Milvus, FAISS, ChromaDB etc. Agent Development: Experience developing agents with frameworks like LangGraph, CrewAI, Autogen etc. Prompt Engineering: Experience with prompt engineering. Market Trends: Keeping up with latest market trends. Open Source LLMs: Experience working with open-source large language models from HuggingFace . Cloud Providers: Experience working with at least one public cloud provider such as Azure, AWS, or GCP . Container Technology: Experience working with container technology like Docker, ECS etc. DevOps & CI/CD: Experience with DevOps practices and CI/CD pipelines for data solutions. Production Deployment: Experience in deploying solutions to production with Kubernetes or OpenShift . ML Workflow Management: Experience with managing ML workflows with MLFlow or KubeFlow.