491 Generative Ai Jobs - Page 18

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

machine learning algorithms and deep learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn) Proficiency in Python data processing libraries (Pandas, NumPy) Knowledge of cloud platforms like AWS, GCP, or Azure NLP,LLM,GenAI

Responsibilities : - Design and Development : Architect, design, and develop user-friendly and scalable AI-powered applications using React.js for the frontend and Node.js for the backend. - Generative AI Implementation : Implement, integrate, and fine-tune Generative AI models (e.g., text generation, image synthesis) for specific application requirements. - API Development and Integration : Develop and consume RESTful and GraphQL APIs to facilitate communication between frontend applications and AI/ML models and backend services. - LLM and NLP Integration : Leverage Large Language Models (LLMs) and Natural Language Processing (NLP) techniques to enhance application features and user interactions. - Machine Learning Frameworks : Utilize and integrate various machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn) as needed for specific AI functionalities. - Performance Optimization : Optimize AI models and application code for performance, scalability, reliability, and cost-effectiveness. - Collaboration : Collaborate effectively with data scientists, machine learning engineers, backend developers, product managers, and designers throughout the development lifecycle. - Code Quality and Best Practices : Write clean, well-documented, and testable code, adhering to best practices and contributing to CI/CD pipelines for continuous integration and deployment. - Research and Innovation : Stay abreast of the latest advancements in Generative AI, Large Language Models, NLP, web development technologies, and industry trends. Proactively explore and propose new technologies and approaches to enhance our products. - Problem Solving : Troubleshoot and resolve technical issues related to AI model integration, application performance, and API interactions. - Documentation : Create and maintain comprehensive technical documentation for developed components and systems. Qualifications : - Education : Bachelor's or Master's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field. - Experience : [Specify the desired years of experience - e.g., 2-5 years] of professional experience in full-stack development with a focus on frontend (React.js) and backend (Node.js) technologies. - Frontend Expertise : Proven experience in developing responsive and dynamic user interfaces using React.js, including state management libraries (e.g., Redux, Zustand, Context API), component-based architecture, and modern JavaScript (ES6+). - Backend Expertise : Solid experience in developing robust and scalable backend applications using Node.js and frameworks like Express.js or NestJS. - API Development : Strong understanding and practical experience in designing and implementing RESTful and/or GraphQL APIs. - AI/ML Fundamentals : Familiarity with fundamental concepts of Artificial Intelligence and Machine Learning, including different types of models and their applications. - Generative AI Exposure : Experience with implementing or fine-tuning Generative AI models (e.g., using libraries or cloud-based services). - LLM and NLP Knowledge : Understanding of Large Language Models (LLMs) and Natural Language Processing (NLP) concepts and their practical applications. - Machine Learning Frameworks (Desirable) : Familiarity with one or more machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn. - Database Knowledge : Experience working with various database systems (e.g., PostgreSQL, MySQL, MongoDB). - DevOps Practices : Understanding of CI/CD pipelines and experience with relevant tools (e.g., Jenkins, GitLab CI/CD, GitHub Actions). - Testing : Experience with writing unit, integration, and end-to-end tests. - Problem-Solving Skills : Excellent analytical and problem-solving abilities. - Communication Skills : Strong written and verbal communication skills, with the ability to effectively communicate technical concepts to both technical and non-technical audiences. - Collaboration : Ability to work effectively in a collaborative team environment.

Job Summary Good Experience on Python scripting Experience on any web framework like Tornadofastapi Experience implementing AIML and Generative AI usecases RAG implementations Experience working on Embedding and Transformer models Experience working on document processing ETL pipelines using Python Experience working on Azure AI Search Self motivated fast learner individual contributor preferred Responsibilities Good Experience on Python scripting Experience on any web framework like Tornadofastapi Experience implementing AIML and Generative AI usecases RAG implementations Experience working on Embedding and Transformer models Experience working on document processing ETL pipelines using Python Experience working on Azure AI Search Self motivated fast learner individual contributor preferred

Position overview: We are seeking an experienced Data Scientist with a strong background in Machine Learning, Natural Language Processing (NLP), Generative AI, and Retrieval-Augmented Generation (RAG). The ideal candidate will possess 3 to 6 years of hands-on experience in developing and deploying advanced data-driven solutions. You will play a key role in our AI-CoE team, contributing to cutting-edge projects that drive innovation and business value. A special focus area for this role would be to build AI enabled products that would result in the creation of monetizable product differentiators for Tata Communications products and services. Detailed job description & Key Responsibilities: Develop, Test, and Deploy machine learning models for various business and Telco use cases. Perform data preprocessing, feature engineering and ML/DL model evaluation. Optimize and fine-tune models for performance and scalability. 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 systems. 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. Communicate technical concepts to non-technical stakeholders effectively. Document processes, methodologies, and model development for internal and external stakeholders. Skills: Bachelors or masters degree in Computer Science, Data Science, Statistics, Mathematics, or a related field from reputed institutions. Strong knowledge of probability and statistics. Working knowledge of machine learning and deep learning skills. Strong knowledge of programming knowledge – Python, SQL and commonly used frameworks & tools – PyTorch, Sci-kit, NumPy, Gen AI tools like langchain/llamaIndex Working knowledge of MLOPs principles and implementing projects with Big Data in batch and streaming mode. Excellent problem-solving skills and a proactive attitude. Strong communication and teamwork abilities. Ability to manage multiple projects and meet deadlines Interview will involve coding tests.

Job Description: We are looking for a talented and experienced Senior Data Scientist with a minimum of 4 years of professional experience in model development and expertise in Gen AI projects. As a Senior Data Scientist, you will be responsible for developing advanced machine learning models, conducting exploratory data analysis (EDA), performing feature selection/reduction, and utilizing cutting-edge technologies to deliver high-quality solutions. The ideal candidate should possess strong programming proficiency in Python and experience with cloud platforms like GCP or equivalent, as well as visualization tools like Qlik Sense, Power BI, Looker Studio, or Tableau. Job Responsibility: Data Scientists 3+ Year (Mandatory Skills) Model development (regression and classification), should have strong experience in performing EDA, Feature selection/Feature Reduction, building models and evaluate its performance Should have worked on Gen AI project Strong programming proficiency in python with mastery of data science libraries Pandas, numpy and scikitlearn & xgboost or pytorch GCP (BQ, Vertex AI) or other equivalent cloud Visualization (Qlik Sense / Looker Studio / Power BI / Tableau) Skills : GenAI & RAG Model development (regression and classification) Machine Learning Python GCP / other equivalent cloud Visualization LLM Model building We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. Interview Date: 17th May 2025 (Saturday), Face to Face In person Interview Chennai.

As a high GT and Simulation Trainer, you will be responsible for designing, developing, and delivering training programs in 2D & 3D with high simulation technology using different computer programming and languages. The Trainer's role is crucial in ensuring participants are wellprepared for real-world situations by immersing them in lifelike simulations. Also, the need would be to conduct training for labeling diverse datasets, including images & complex/dense 3D point clouds or LiDAR. Skill requirements: • Excellent command of the English language. Good presentation, communication, and facilitation skills. Experience in teaching, training, or instructional design is advantageous. Experience of interaction with overseas clients. Ability to adapt training approaches for varying skill levels and industries. High comfort level with using tech tools/platforms. Attention to detail, critical thinking, and problem-solving skills. Multi-tasking and time management. Strong interpersonal skills and analytical bent of mind. Good with MS Word, Excel, and PowerPoint. Additional Skill Requirements- Preferred: Previous 3D or Simulation training experience. Previous labeling and annotation experience in 3D or Simulation. Familiarity with computer programming, coding, simulation software, and technology. Familiarity with different computer languages and coding. Road Rules Knowledge. Detail-oriented with adaptability to changing training needs. Preferred candidate profile : Bachelor's Degree / Master's Degree / Diploma or Technical Preferable subject: Prediction, Planning, Simulation & Basic knowledge of programming & computer languages E.g.: Java, Python, C++, etc If you are interested for this profile kindly forward your updated CV to this mail id ssi.management@gmail.com

Roles and Responsibilities : Mine, process, and analyze hit/event level web, product, sales, and digital marketing data. Develop predictive scoring models and apply machine learning algorithms to customer profile, journey, and usage data. Deploy ML models into production data sets that can be leveraged for testing/activation on our websites, product applications, and sales/marketing channels. Develop ML model activation testing plans, benchmarking, and measure final outcomes. Enhance/Build data visualizations and reports in Tableau. Work with data engineers to improve and maintain the customer360 data model by defining new feature requirements, making improvements to taxonomy, and identifying bug fixes. Work with cross-functional teams (BI Enterprise Data Warehouse, Salesforce MOPS, IT, Product teams) to improve data quality in the customer360 data model. Develop a good understanding of the business's model, objectives, issues, and challenges by interacting and collaborating with leaders and stakeholders. Document all model methodology, outcomes, and activated performance. Desired Candidate Profile : Experience using Python, SciKit, SQL, Snowflake, hit-level Adobe Analytics data, product usage data, Jupyter Notebooks, Amazon SageMaker, Airflow, Github. Proficiency with data mining, mathematics, and statistical analysis techniques. Experience with predictive modeling techniques, unsupervised, supervised, reinforcement, causal inference machine learning techniques. Experience with the following ML steps: data prep, choosing model, feature creation and selection, training, evaluation, parameter tuning, making predictions. Experience with cookie-level advertising platform data (Google, Bing, Epsilon, LinkedIn, Facebook etc.) and measuring demand generation KPIs (ROAS, CTRs, Impressions, MTA Attribution). Experience with cookie-level web/product data and KPIs like usage, conversion funnels, bounce rates, unique visitors, sessions, hits/events, pathing and journey optimization. Experience with designing A/B/Multivariate/Lift testing and measurement for activated ML models in both digital and offline demand generation channels. Experience gathering and refining requirements from business stakeholders. Experience communicating ML methodology and findings to both technical and non-technical audiences. Preferred: previous experience in an engineering role building, testing, deploying, and measuring ML models using an ensemble approach. Perks and Benefits : 5 Days Working. Performance Linked Incentives. Scholar Policy.

Role & responsibilities We are seeking a skilled AI/ML Engineer proficient in Python to join our dynamic team. In this role, you will collaborate with cross-functional teams to design, develop, and deploy machine learning models and AI systems. You will be responsible for implementing algorithms and workflows that enable our organization to leverage data for insightful decision-making and innovative product solutions. Key Responsibilities:- Develop machine learning models and algorithms using Python and relevant libraries (e.g., Tensor Flow, PyTorch, sci-kit-learn). Min 6 months of experience in Gen AI and Proficiency in could technologies such as AWS, GCP or azure. Collaborate with data engineers to design and implement data pipelines for efficient data processing, analysis, and model training. Apply machine learning techniques to solve complex business problems and optimize existing processes. Evaluate and benchmark different machine learning models to determine optimal solutions. Work closely with product managers and stakeholders to understand business requirements and translate them into technical solutions. • Implement scalable and reliable machine learning infrastructure and productionize models. Stay updated with the latest developments in AI/ML research and apply them to improve our systems continuously. Participate in code reviews, knowledge sharing, and contribute to the overall growth of the AI/ML team. Work from office Afternoon shift NO ONLINE INTERVIEW

Deep Learning Frameworks: Familiarity with frameworks like TensorFlow, PyTorch, or Keras. Custom Model Training: Ability to fine-tune and train models on specific datasets, understand overfitting, and apply regularization techniques. Integration Skills: Proficiency in integrating AI functionalities into applications, web services, or mobile apps. Optimization: Knowledge of optimizing model performance and reducing latency for real-time applications. Version Control and Collaboration Tools: Proficiency with tools like Git, which are essential for collaborative development.

Gen AI Specialist About Lumen Technologies Lumen Technologies is a global technology company that delivers innovative communication and network solutions. Our mission is to empower businesses and individuals to connect, grow, and thrive in the digital age. With a focus on customer experience and operational excellence, we strive to provide cutting-edge solutions that meet the evolving needs of our customers. Job Description Work Location : Bangalore Work timings are usually between 12.30 pm to 9.30 pm Work mode : Hybrid The Main Responsibilities Development of Gen AI applications and conduct reviews. Write clean and maintainable code, improve the system architecture Participate in meetings and conferences to gather requirements, discuss architectural decisions, and collaborate on innovative solutions. Develop frameworks, libraries, and tools to expedite GenAI application development. Explore new technologies in the Gen AI space like MCP and agent protocols, and drive adoption of these advancements to enhance our AI capabilities. Required Qualifications: Bachelors degree in computer science or related field or the equivalent in training and experience 7+ years of professional experience in Java/Python development Well-versed with development using frameworks like Spring / Spring Boot / FastAPI / Django. Well-versed with REST API development and security standards (OAuth2.0, OIDC etc), Experience using any SQL database (Oracle/PostgreSQL, etc.) and any NoSQL databases –MongoDB/Couchbase. Experience on GenAI Development using Python, Langchain, Vector Datastores(Azure, Pinceone etc.), Large language models like Llama, Open AI etc. Well-versed with prompt engineering techniques and using frameworks like Semantic Kernel, LangGraph etc. Experience using a container ecosystem – Kubernetes, Docker. Experience working on developing and deploying applications on any cloud platform (AWS / GCP / Azure) Experience using CI/CD pipelines for application development. We are an equal opportunity employer committed to fair and ethical hiring practices. We do not charge any fees or accept any form of payment from candidates at any stage of the recruitment process. If anyone claims to offer employment opportunities in our company in exchange for money or any other benefit, please treat it as fraudulent and report it immediately.

Solution Architect Exp: 8-12 Years Location: Chennai(Preferred)/Hyderabad Organization: Intellect Design Arena - Product Organization ------------------------------------------------------------------------------------------------------------------------------------------------------------ As a Solution Architect, you will be at the forefront of designing and implementing advanced AI-driven solutions that address the complex needs of our clients. Collaborating closely with our engineering, product, and business teams, you will guide deployment efforts, ensure seamless integration within client environments, and craft sustainable, scalable system architectures. You will also play a key role in setting the strategic direction of our customer engagements, providing technical leadership, and driving innovation in the application of our Gen AI platform. We are looking for a professional with a strong grasp of system architecture, particularly in the AI and machine learning domains, who can combine technical insight with a deep understanding of client needs. In this role, you will advise our product teams on design considerations, compliance with regulatory requirements, and adaptability to various operational environments. Your expertise will help bridge the gap between technical vision and real-world implementation, ensuring that our solutions meet both current and future needs. Successful candidates will have backgrounds as Software Architects, AI Solution Architects, or Enterprise Architects, particularly in cloud-based or distributed systems. You will become an expert in our Gen AI platform, understanding both its capabilities and the governance and security requirements of our clients. You will independently manage complex challenges while maintaining a collaborative approach, working closely with internal teams to deliver comprehensive, secure, and innovative solutions. Key Responsibilities: Lead the design and architecture of AI-focused technical solutions, factoring in security, scalability, network requirements, and resource optimization. Act as a primary technical advisor to clients, providing expert guidance on the architecture and secure deployment of our Gen AI solutions. Influence the development of our product roadmap, aligning it with compliance needs and emerging trends in AI, cloud, and security technologies. Produce detailed architectural documentation, visual diagrams, and technical specifications to support deployment and client understanding. Provide mentorship and technical direction to deployment teams during client projects to ensure efficient and secure execution. Key Traits: In-depth knowledge of public cloud platforms (e.g., AWS, Azure, GCP) and their application in AI and machine learning environments. Experience with designing and managing large-scale software systems, including distributed architectures, scaling strategies, and DevOps practices. Familiarity with the full lifecycle of AI model development and deployment, including data processing, model training, and real-time inference. Strong understanding of information security principles, including encryption, identity management, network protection, and security monitoring. Expertise in modern software development, continuous integration, continuous delivery (CI/CD), and infrastructure as code. Solid grasp of networking protocols and operating system fundamentals, with the ability to troubleshoot and optimize complex environments. Ability to navigate ambiguous, high-stakes technical problems independently while working effectively with cross-functional teams. Proven client-facing skills, capable of translating complex technical concepts into clear, actionable insights for business stakeholders. 5+ years of relevant industry experience in roles requiring a blend of technical depth and architecture leadership. Familiarity with Kubernetes, container orchestration, and microservices architectures is a plus. Interested folks can reach out to bicky.nath@intellectdesign.com

Sundew is a growing company with 18 years of expertise in Digital Transformation, excelling in Digital Strategy,CloudNative Application Development,AI, and Product Engineering. We are seeking a Prompt Engineer to enhance product functionality and userexperience by crafting, testing, and optimizing prompts for large language models (LLMs) in collaboration with our AI/ML team, engineers, product managers, and data scientists. Key Responsibilities: Prompt Design & Optimization: Design, test, and refine prompts for LLMs (e.g., GPT-4, Claude, Mistral) to ensure accurate and contextually relevant outputs. Conduct prompt tuning and A/B testing to enhance the performance, reliability, and user alignment of generative AI outputs. Cross-Functional Collaboration: Work closely with engineers, product managers, and data scientists to identify new use cases where generative AI can enhance product experience. Participate in agile team discussions, brainstorming sessions, and ideation on generative AI solutions. Evaluation & Documentation: Analyze model responses and user feedback to iterate on prompt effectiveness. Maintain detailed documentation of prompt iterations, testing outcomes, and optimization strategies. Continuous Learning & Innovation: Stay informed on the latest advancements in generative AI, LLMs, and prompt engineering methodologies. Contribute to the development of best practices and knowledge sharing within the AI/ML team. Required Skills & Qualifications: Education: Bachelors degree in Computer Science or a related field. Core Skills: Excellent command of English with strong writing, comprehension, and communication abilities. Analytical mindset with a keen eye for detail and a passion for experimenting and refining ideas. Hands-on familiarity with Chat GPT, Claude, or similar generative AI tools. Exposure to prompt design, human-computer interaction, or reinforcement learning. Familiarity with Python or basic scripting for prompt testing (preferred). Relevant background or certifications in UX Writing, Generative AI, Prompt Engineering, or related domains are a plus. What We Offer: Join a rapidly expanding, global organization leading the charge in digital transformation with cutting-edge technologies. Remote work environment to support work-life balance. Opportunity to grow in a fast-paced and emerging domain. Inclusive and collaborative team culture where your ideas matter. Competitive compensation package with performance-based incentives to reward excellence and drive measurable results.

Department/Function - Edtech Reporting to (Designation/Role) - Head - TAPP Key Roles & Responsibilities: Lead end to end mobile application development with vendors in line with organisation vision Lead cross-functional coordination with product, design, and QA teams to ensure timely feature delivery. Mentor developers and enforce software quality, security, and performance best practices. Evaluate and implement scalable architecture for web applications and APIs. Monitor cost for both app development and server hosting Provide detailed technical documentation and progress updates to leadership. Understand key requirements and translate them in application features Collaborate with vendor partners/ professionals to set specifications for new version Perform unit and integration testing before launch Drive Product Development: Lead feature rollouts such as Teachers Lounge, Role-Based Access, Advanced Chatbots, and Enhanced Analytics throughout 2025. Team Leadership: Mentor team and vendors working for us. UX/UI Oversight: Collaborate with designers to implement multiple rounds of UI/UX enhancements. Innovation & AI: Contribute to AI chatbot integration and data analytics improvements. Train and maintain LLM models. Automation Strategy: Deploy new technology solutions to improve productivity, reach and efficiency. Security First: Implement best practices for PII masking and data protection. Cross-Functional Collaboration: Act as the bridge between product, design, QA, and DevOps. Skills required: Bachelors or Masters degree in Computer Science, Engineering, or related field. 8+ years of experience in software development, including 3+ years in a leadership role. Hands-on experience with chatbots (rule-based and generative AI and analytics platforms. Strong understanding of UX/UI principles and design collaboration. Project Management Understanding of AI tools that are useful for elearning industry. Ability to train LLM models Understanding of QA processes and tools for app testing Ability to translate business requirements into technical specifications Understanding of Mobile App development Database management AWS Automation using AI tools. Experience (in years)- 8-14 yrs of mobile application development.

Design,Deploy & develp machine learning models & algorithms Implement Robust & reliable software solution Handson experience on Generative AI conduct performance testing,trouble shooting updated with current latest technology

•5-10 years of industry experience in developing Agentic AI solutions including machine learning. •Strong skills in Python along with experience with relevant libraries. •Experience in working with large datasets, implementing scalable AI solutions.

Job Title: Python Developer Python middleware developer with hands-on experience integrating generative AI APIs (e.g., OpenAI, Vertex AI). • Skilled in building RESTful services using Django, Flask, and FastAPI. • Experienced in working with ORMs like Django ORM and SQLAlchemy. • Proficient in backend development, API integration, and scalable data-driven application design.

We are searching for an experienced Data Scientist with a strong background in AI/ML and Generative AI to join our dynamic product development team. The ideal candidate will be intricately involved in running analytical experiments in a methodical manner and will regularly evaluate alternate models via theoretical approaches. This is the perfect opportunity for the successful candidate to become a part of an innovative and energetic team that develops analysis tools which will influence both our products and clients. RESPONSIBILITIES & DUTIES: Research and develop AI/ML and GenAI methods and applications Collaborate with product management to understand company needs and devise clever solutions. Clearly communicate results and ideas to influence decision making Implement new statistical, AI/ML, or other mathematical methodologies as needed to solve real business problems Keep up to date with the latest technological trends, especially in AI/ML and Generative AI. Develop solid proof of concept and at least one production-level Generative AI application. QUALIFICATIONS : Bachelors degree with at least one year of experience (not including internships or projects at institutes). Expert level Python programming and application development skills and experience. Extensive background in data science, statistical analysis, and AI/ML. Proven expertise in developing Generative AI applications.

Hexaware is conducting Walkin Interview for Data Scientist (Agentic AI) _Navi Mumbai Location_ 18th May 25 (Sunday) We urgently looking for Immediate joiners/Early joiners. Interested Candidates can share CV at umaparvathyc@hexaware.com Experience range- 3yrs to 19yrs Notice period- 15 days/30days Max Interview Location (Face to Face)- Navi Mumbai Open Positions: 1. AI Engineer -3+yrs 2. Lead Agentic AI Developer -5+yrs 3. Data scientist Architect- 10_yrs MUST HAVE: Agentic AI, LLM, Advance RAG, NLP, transformer model, LangChain Technical Skill: 1. Knowledge of Agentic AI concepts and applications 2. Strong Experience in Data Scientist (GENAI) 3. Proficiency with Generative AI models like GANs, VAEs, and transformers 4. Expertise with cloud platforms (AWS, Azure, Google Cloud) for deploying AI models 5. Strong Python Fast API experience, SDA based implementations for all the APIs

Join our team in Technology Strategy for an exciting career opportunity to enable our most strategic clients to realize exceptional business value from technology Practice: Technology Strategy & Advisory, Capability Network I Areas of Work: Data & AI Strategy I Level: Manager | Location: Bangalore/Gurgaon/Mumbai/Pune/Chennai/Hyderabad/Kolkata | Years of Exp: 10 to 15 years Explore an Exciting Career at Accenture Do you believe in creating an impact? Are you a problem solver who enjoys working on transformative strategies for global clients? Are you passionate about being part of an inclusive, diverse and collaborative culture? Then, this is the right place for you! Welcome to a host of exciting global opportunities in Accenture Technology Strategy & Advisory. The Practice- A Brief Sketch: The Technology Strategy & Advisory Practice is a part of and focuses on the clients most strategic priorities. We help clients achieve growth and efficiency through innovative R&D transformation, aimed at redefining business models using agile methodologies. As part of this high performing team, you will work on the scaling AI"and the data that fuels it all"to power every single person and every single process. You will part of our global team of experts who work on the right scalable solutions and services that help clients achieve your business objectives faster. Business Transformation: Assessment of AI potential and development of use cases that can transform business Proof of Concepts :Help design POCs and high-level solutions using AI or Gen AI analytics solutions to derive insights from data. Formulation of Guiding Principles and Components: Assessing impact to clients technology landscape/ architecture and ensuring formulation of relevant guiding principles and platform components. Product and Frameworks :Evaluate existing AI & Gen AI products and frameworks available and develop options for proposed solutions. Bring your best skills forward to excel in the role: Leverage your knowledge of technology trends across Data & AI and how they can be applied to address real world problems and opportunities. Interact with client stakeholders to understand their AI problems, priority use-cases, define a problem statement, understand the scope of the engagement, and also drive projects to deliver value to the client Design & guide development of Enterprise-wide AI & Gen AI strategy for our clients Through your expertise and experience, guide your team to suggest the right solutions to meet the needs of clients and help draw up practical implementation road maps that position them for long-term success Benchmark against global research benchmarks and leading industry peers to understand current & recommend AI & Gen AI solutions Conduct discovery workshops and design sessions to elicit AI & Gen AI opportunities & client pain areas. Utilize strong expertise & certification in any of the AI & Gen AI Cloud platforms - Google, Azure or AWS, in areas such as Machine Learning, NLP, Generative AI etc. Collaborate with business experts for business understanding, working with other consultants and platform engineers for solutions and with technology teams for prototyping and client implementations. Have a deep understanding of the Responsible AI & Gen AI framework as well as tools to engage the client in meaningful discussions and steer towards the right recommendation. Define an AI use case driven value realization framework and define business cases relevant to the client industry Create expert content and use advanced presentation, public speaking, content creation and communication skills for C-Level discussions. Demonstrate strong understanding of a specific industry , client or technology and function as an expert to advise senior leadership. Manage budgeting and forecasting activities and build financial proposals Read more about us. Your experience counts! MBA from a tier 1 institute 5- 7 years of Strategy Consulting experience at a consulting firm 3+ years of experience writing business cases (quantitative and qualitative) to support strategic business initiatives or Data & AI transformation 3+ years of experience in designing and building end-to-end Enterprise AI and Gen AI Strategic Solutions using Cloud & Non-Cloud platforms like Google Vertex and Gemini, Azure AI, Open AI, Co-Pilot, Amazon Bedrock, IBM Watson, DataRobot etc. Excellent understanding of Traditional AI, Gen AI, Agentic AI and Advanced Cognitive methods to derive insights and actions Good working knowledge in formulation of relevant guiding principles and platform components with expertise in Responsible AI frameworks is highly preferred 3+ years of experience leading or managing teams effectively including planning/structuring analytical work, facilitating team workshops, and developing Data & AI strategy recommendations as well as developing POCs Mandatory knowledge of IT & Enterprise architecture concepts through practical experience and knowledge of technology trends e.g. Mobility, Cloud, Digital, Collaboration A strong understanding in any of the following industries is preferred: Financial Services, Retail, Consumer Goods, Telecommunications, Life Sciences, Transportation, Hospitality, Automotive/Industrial, Mining and Resources or equivalent domains Cloud AI Practitioner Certifications (Azure, AWS, Google) desirable but not essential

Cotiviti Hyderabad is looking for Senior Software engineers for one of its product steam Python based application suite , APIs, and backend systems The purpose of this position is to work independently to build and integrate several robust, fault-tolerant backend services and frontend for information processing requirements to payment accuracy products. This includes collaboration in requirements definition, prototyping, design, coding, testing and deployment. Person in this position would exhibit the following behaviours: Develops and maintains positive working relationships with others Shares ideas and information Assists colleagues unprompted Takes pride in the achievement of team objectives Has credibility with peers and senior managers Self-motivated driven to achieve results Keeps pace with change acquires knowledge/skills as the business evolves Handles confidential information with sensitivity Constantly improves domain knowledge and applies to the project. JOB RESPONSIBILITIES Develop and maintain web applications, APIs, and backend systems using Python. Write reusable, testable, and efficient code. Collaborate with cross-functional teams to define, design, and ship new features. Participate in the full software development lifecycle, including coding, testing, and deployment. Troubleshoot and debug software issues. Optimize applications for maximum speed and scalability. Write unit tests and documentation for developed code. Ensure the performance, quality, and responsiveness of applications. Responsible for handling the Security Vulnerabilities within Python Framework. Requirements: Strong experience with Python and related frameworks (e.g., Django, Flask, FastAPI, OpenAI, RAG ). Familiarity with front-end technologies like HTML, CSS and JavaScript (if relevant). Familiarity with back-end technologies like Java, J2EE and Spring framework (if relevant). Experience with database management systems such as Oracle, MySQL, Vector DB or MongoDB. Knowledge of version control tools with awareness of the branching strategy like Git. Understanding of RESTful APIs and web services. Ability to write clean, efficient, and maintainable code. Strong problem-solving and debugging skills. Experience with cloud platforms like AWS, GCP, OCI or Azure (preferred but not required). Knowledge of containerization technologies such as Docker (a plus). Familiarity with testing frameworks like PyTest, UnitTest, or others. Excellent communication and collaboration skills. Preferred Qualifications: Experience with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn. Experience working in Agile environments. Knowledge of CI/CD pipelines and tools like Jenkins, CircleCI, or GitLab CI. Good To Have: Knowledge of SAFe (Scaled Agile Framework) or any other agile framework Exposure to business process workflow analysis such as JBPM, experience preferred. MogoDB, Microservices, Docker based development/deployments, Exposure to CI/CD Exposure to rule engines such as drools. SKILLS & COMPETENCIES: Excellent verbal and written communication skills Strong organizational skills and adaptability to rapidly changing priorities and workloads Ability to work well independently and maintain focus in a highly dynamic work environment. Comfort in working with team members that are remote and located in the US, India or other geographies

Job Title: AI/ML Engineer Location: Gurugram, Haryana Employment Type: Full-Time Experience Required: 36 Years Objective of the Role: We are seeking a highly skilled AI/ML Enginee r who will be responsible for building, testing, and maintaining robust, scalable, and secure web applications. The ideal candidate will have strong expertise in Python and Django , with additional exposure to machine learning , generative AI frameworks , and modern deep learning architectures . This role involves optimizing performance, ensuring security, working with APIs, and collaborating closely with cross-functional teams to deliver high-quality backend solutions. Key Responsibilities: 36 years of hands-on experience in Python. Design, develop, and maintain backend services and RESTful APIs using Django or Django REST Framework. Work with third-party APIs and external services to ensure smooth data integration. Optimize application performance and implement robust security practices. Design scalable and efficient data models; work with relational and NoSQL databases. Implement and maintain CI/CD pipelines using tools like Docker, Git, Jenkins, or GitHub Actions. Collaborate with front-end developers, DevOps engineers, and product managers to deliver end-to-end solutions. Integrate and deploy ML models and AI features in production environments (a strong plus). Write clean, modular, and testable code following best practices. Troubleshoot, debug, and upgrade existing systems. Required Skills and Qualifications: Strong proficiency in Python and Django framework. Experience with PostgreSQL , MongoDB , or MySQL . Familiarity with Docker , Gunicorn , Nginx , and CI/CD pipelines. Experience with machine learning and deep learning concepts. Exposure to Generative AI , Transformers , Agentic Frameworks , and Fine-Tuning techniques . Hands-on experience with PyTorch or TensorFlow (PyTorch preferred). Ability to translate ML/AI solutions into production-ready APIs or services. Strong problem-solving and debugging skills. Nice to Have: Knowledge of FastAPI or Flask. Experience deploying models via TorchServe or ONNX. Familiarity with MLOps practices and tools like MLflow, DVC, or SageMaker. If you're passionate about backend development and excited to work at the intersection of software engineering and AI innovation , we’d love to hear from you.

About the Role Love deep data? Love discussing solutions instead of problems? Then you could be our next Data Scientist. In a nutshell, your primary responsibility will be enhancing the productivity and utilisation of the generated data. Other things you will do are: -Work closely with the business stakeholders -Transform scattered pieces of information into valuable data -Share and present your valuable insights with peers What You Will Do Develop models and run experiments to infer insights from hard data Improve our product usability and identify new growth opportunities Understand reseller preferences to provide them with the most relevant products Designing discount programs to help our resellers sell more Help resellers better recognise end-customer preferences to improve their revenue Use data to identify bottlenecks that will help our suppliers meet their SLA requirements Model seasonal demand to predict key organisational metrics Mentor junior data scientists in the team What You Will Need Bachelor's/Master's degree in computer science (or similar degrees) 2-4 years of experience as a Data Scientist in a fast-paced organization, preferably B2C Familiarity with Neural Networks, Machine Learning, etc Familiarity with tools like SQL, R, Python, etc. Strong understanding of Statistics and Linear Algebra Strong understanding of hypothesis/model testing and ability to identify common model testing errors Experience designing and running A/B tests and drawing insights from them Proficiency in machine learning algorithms Excellent analytical skills to fetch data from reliable sources to generate accurate insights Experience in tech and product teams is a plus Bonus points for: -Experience in working on personalization or other ML problems -Familiarity with Big Data tech stacks like Apache Spark, Hadoop, Redshift

Hexaware is conducting Walkin Interview for Data Scientist (Agentic AI) _Chennai Location_ 17th May 25 (Saturday) We urgently looking for Immediate joiners/Early joiners. Interested Candidates can share CV at umaparvathyc@hexaware.com Experience range- 3yrs to 19yrs Notice period- 15 days/30days Max Interview Location (Face to Face)- Chennai Open Positions: 1. AI Engineer -3+yrs 2. Lead Agentic AI Developer -5+yrs 3. Data scientist Architect- 10_yrs MUST HAVE: Must have Experience: Agentic AI, LLM, Advance RAG, NLP, transformer model, LangChain Technical Skill: 1. Knowledge of Agentic AI concepts and applications 2. Strong Experience in Data Scientist (GENAI) 3. Proficiency with Generative AI models like GANs, VAEs, and transformers 4. Expertise with cloud platforms (AWS, Azure, Google Cloud) for deploying AI models 5. Strong Python Fast API experience, SDA based implementations for all the APIs

Netwoven seeks a highly skilled and innovative Senior Architect - AI/ML to lead our AI/ML initiatives and strengthen our Centre of Excellence (CoE). As a key member of the leadership team, you will drive innovation in AI/ML solutions, provide thought leadership, and support our delivery teams in executing groundbreaking projects. You will play a crucial role in developing and documenting AI/ML use cases across various industries and collaborating with our Sales team to present these solutions to prospective and existing customers. Key Responsibilities: Lead Innovation in AI/ML Solutions: Spearhead efforts to design and develop innovative AI/ML-driven solutions for our clients across various industries. Strengthen CoE: Strengthen and mentor the existing AI/ML CoE team, fostering a culture of innovation and technical excellence. Solution Design & Development: Collaborate closely with delivery teams, offering ground-level design and technical support to ensure seamless solution deployment. Thought Leadership: Provide industry thought leadership in the AI/ML space, researching new technologies, trends, and best practices. Document Use Cases: Develop and document AI/ML solution ideas for industry-specific use cases, ensuring clarity and practicality. Sales Collaboration: Work with the Sales team to present AI/ML use cases and solutions to both prospective and existing customers, helping drive business development. Stakeholder Engagement: Serve as a trusted advisor to internal and external stakeholders, ensuring alignment of AI/ML initiatives with business goals. Required Skills and Experience: 15+ years of experience in software design and development, with a minimum of 4+ years dedicated to AI/ML technologies in a senior or leadership role in solution design and architecture. Proven experience in designing, developing, and deploying AI/ML models and solutions in real-world scenarios across various industries. Strong knowledge of machine learning frameworks (TensorFlow, PyTorch, etc.), NLP, deep learning, and computer vision technologies. Expertise in Generative AI and Large Language Models (LLMs) with hands-on experience in developing and fine-tuning models for real-world applications. Experience in data analysis, data security, and ensuring privacy in AI/ML solutions, with a strong understanding of the regulatory landscape. Solid understanding of industry use cases and trends in AI/ML, with the ability to identify new opportunities for AI-driven innovation. Experience in leading innovation teams and mentoring technical talent in AI/ML domains. • Excellent communication skills with the ability to clearly articulate complex technical concepts and solutions to both technical and non-technical audiences. Proven track record of working with sales teams to develop customer-focused AI/ML solutions and present them effectively to customers. Proficient in cloud platforms (AWS, Azure, GCP) for AI/ML deployment and scaling. Strong problem-solving abilities, with a passion for using AI/ML to solve complex business challenges. Education: Bachelors degree in computer science, Data Science, Artificial Intelligence, or a related field. A master's or Ph.D. in AI/ML or related domains is highly preferred Preferred : Bachelors degree in computer science, Data Science, Artificial Intelligence, or a related field. Experience working in a consulting or customer-facing role A master's or Ph.D. in AI/ML or related domains is highly preferred Certifications in AI/ML technologies or cloud platforms (AWS/Azure/GCP). Experience with MLOps and implementing AI/ML pipelines in production environments. Experience with AI-driven innovation in verticals such as manufacturing, retail, healthcare, etc