525 Generative Ai Jobs - Page 19

Requirements and skills Must have 4+ years of experience in Python development of services and/or applications where Python was used as the core programming 3+ years of professional experience with cloud technologies (AWS, GCP, Azure), AWS preferred Proven work experience as a Software Developer with GenAI skills Software development experience with NodeJS development, GitLab CI/CD, as well as queuing approaches and solutions Experience with document parsing into RAG GPT solutions and story estimation Comprehensive understanding of natural language processing, machine learning and AI-generated content development Excellent problem-solving and analytical skills Ability to collaborate effectively with cross-functional teams Experience using large language models, Langchain, Langgraph, vector databases, and cloud AI services to architect AI solutions (AWS SageMaker, GCP AI Platform, Azure ML), AWS preferred Experience in model development/fine-tuning and integration of LLMs to broader application workflows Expertise in prompt engineering, agentic frameworks, and retrieval augmented generation A creative approach to problem-solving using the latest AI technology SW development experience and able to apply GenAI services to build business applications Experience with open-source modeling frameworks (ex. TensorFlow, Keras, PyTorch, Scikit-learn) Experience in production model management Knowledge of Unit Testing, automated testing and monitoring solutions Contributions to open-source projects A true passion for AI Relevant training and/or certifications in computer science, AI or a related field Strong verbal and written communication skills

Hiring an AI-focused developer with expertise in Node.js, API integration (Azure OpenAI, RAG, parameter tuning), and AI pipeline optimization. Bonus: MCP knowledge & experience with image analysis. AI Developer Required Candidate profile AI Developer with 2+ years' experience in Node.js, Azure OpenAI, RAG, API integration, and AI pipelines. Bonus: MCP knowledge & image analysis (OpenAI/Anthropic).

Impact: This position offers the opportunity to lead a team of highly motivated individuals and contribute to achieving the teams goals. You will lead efforts to improve data accuracy, completeness, and timeliness through collaboration, innovation, and the execution of ad-hoc projects, with a focus on acquiring and collecting public and private data. Through strong stakeholder relationships and a deep understanding of market dynamics, we position ourselves as trusted partners, equipping clients with the intelligence needed to navigate opportunities and risks in a competitive environment. Responsibilities: Formulate and implement data-driven strategies that balance technical and product knowledge, collaborating with multiple teams to create best-in-class solutions. Oversee and implement data quality projects that align with evolving business priorities, ensuring high standards of data integrity. Identify opportunities for new datasets within the market landscape and support the development of strategies to incorporate them into existing frameworks. Demonstrate empathy and support team members, especially during challenging times, promoting a culture of well-being and collaboration. Encourage team motivation, facilitate career progression discussions, and execute succession planning to nurture talent within the team. Enhance the technical skills of the team, preparing them for future growth and evolving industry demands. Establish SMART objectives for team members, actively manage performance, and communicate the Pay for Performance culture and its linkage to rewards. Track and communicate team performance metrics, including time utilization and quality statistics, while setting challenging benchmarks for resource efficiency. Mentor the team on industry trends and large-scale data projects, providing guidance on business initiatives. Manage short-term and long-term projects from resource planning to execution, collaborating closely with the Data Management team to ensure alignment and effectiveness. Drive constructive conversations with the leadership team and stakeholders across various locations, ensuring alignment on goals and expectations. Advocate for a culture of innovation by understanding processes and workflows, generating ideas to eliminate content gaps and establish best practices. Foster a lean mindset to improve operational efficiency. Ensure all critical timelines and requirements for business-as-usual workflows, KPIs, and projects are met, demonstrating problem-solving capabilities at all levels. As a people leader, embody and promote the organizations values, culture, and strategic objectives, setting an example for the team. What we are looking for: Prior leadership experience in data services, with a strong focus on people management. Knowledge or experience in the industry is preferred. In-depth understanding of the mechanics of the capital markets domain, with the ability to quantify trends impacting the industry and provide insightful analysis. Proven operational management skills with a keen attention to detail, gained within a respected data company, ensuring effective oversight of data quality and performance. Experience in introducing and monitoring Key Performance Indicators (KPIs) and performance metrics, facilitating continuous improvement and accountability within the team. Capacity to give and receive constructive feedback, providing coaching to team members to foster their professional growth and development. Exceptional oral and written communication skills, enabling clear articulation of complex data insights and fostering effective stakeholder engagement. Willingness to work across various shifts, including night shifts on a rotational or as-needed basis, demonstrating adaptability to meet business needs. Maintains high ethical standards both personally and professionally, ensuring transparency and integrity within the team. Strong collaboration skills with the ability to work effectively within cross-functional teams and build relationships with various stakeholders. Comfort with change management processes, adapting to evolving business needs and driving innovation within the team. Familiarity with additional analytical tools or programming languages that enhance data analysis capabilities. Experience in managing projects from inception to completion, including the ability to prioritize tasks and manage resources effectively. Understanding of cultural differences and the ability to navigate them effectively in a global work environment. Commitment to continuous learning and professional development in data analysis and emerging technologies. A results-oriented approach, focusing on achieving goals and delivering measurable outcomes. Preferred Qualifications: A minimum of 8 years of experience working closely with senior leaders and decision-makers, demonstrating the ability to influence and drive strategic initiatives. Proven experience in establishing and nurturing trust with business heads, fostering long-lasting business relationships that benefit both the organization and stakeholders. Comfort with a high degree of autonomy, effectively managing priorities from multiple internal and external stakeholders to achieve organizational goals. Basic knowledge of SQL and Generative AI is desirable, providing a foundation for data analysis and innovative solutions. Familiarity with data visualization tools, enabling effective communication of insights through visual storytelling. Possession of a Green Belt Certification and exposure to Lean concepts, indicating a commitment to process improvement and operational efficiency. Our People: We're more than 35,000 strong worldwideso we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. Were committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Were constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: Its not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awardssmall perks can make a big difference. For more information on benefits by country visit: Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. ----------------------------------------------------------- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to:? ?and your request will be forwarded to the appropriate person.? US Candidates Only: The EEO is the Law Poster describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - ----------------------------------------------------------- 10 - Officials or Managers (EEO-2 Job Categories-United States of America), DTMGOP103.2 - Middle Management Tier II (EEO Job Group), SWP Priority Ratings - (Strategic Workforce Planning)

Solutions Architect We are seeking an experienced Solutions Architect with strong expertise to design and implement scalable, resilient, and secure technical solutions for our clients using AI driven product/platform. The ideal candidate will have a deep understanding of software architecture principles, extensive experience with Cloud technologies, and the ability to translate business requirements into comprehensive technical solutions. Experience with Genn AI frameworks would be advantageous. Key Responsibilities Design and develop enterprise-level architecture solutions Create detailed solutions for proposals with technical specifications, architecture diagrams, and implementation plans Evaluate and recommend appropriate technologies and frameworks to meet business requirements Ensure solutions meet performance, scalability, security, and maintainability requirements Lead technical discussions with clients and internal teams to define solution approaches Conduct technical design reviews and provide feedback to development teams Identify and mitigate technical risks throughout the project lifecycle Mentor development teams on architecture best practices and implementation strategies Stay current with emerging technologies and industry trends Collaborate with product managers, project managers, and business analysts Create proof-of-concepts and technical demonstrations for clients Document architecture decisions and solutions for knowledge sharing Required Qualifications Bachelors degree in computer science, Software Engineering, or related field 12+ years of software development experience 5+ years of experience as a Solutions Architect or similar role Expert knowledge of Architecting solutions Strong understanding of Azure, AWS or similar cloud platforms Experience with microservices architecture and containerization (Docker, Kubernetes) Proficiency in designing RESTful APIs and service-oriented architectures Extensive experience with relational databases and NoSQL solutions Understanding of security principles and best practices Experience with continuous integration/continuous deployment pipelines Strong communication and presentation skills Ability to understand business requirements and translate them into technical solutions Preferred Qualifications Knowledge of Generative AI and Agentic AI concepts Knowledge of AI and Generative AI frameworks Familiarity with front end frameworks for front-end development Experience with Agile methodologies Experience with event-driven architectures and message queuing systems Experience with DevOps practices and tools Technical SkillsCore Technologies Microservices Architecture Docker/Kubernetes CI/CD Pipelines REST/SOAP APIs Generative AI Frameworks Nice to Have Angular or React.js NoSQL databases (MongoDB, Cosmos DB) Message Brokers (RabbitMQ, Kafka) Terraform/Infrastructure as Code Serverless architectures Ascendion Details : Ascendion is a leading provider of AI-first software engineering services. Our applied AI, cloud, data, experience design, and talent transformation capabilities accelerate innovation for Global 2000 clients. company URL : www.ascendion.com Note : Looking for Immediate / Less Notice candidates only

Job description Technical Lead (Enterprise AI Systems) We are seeking a Technical Lead to drive the design and development of our enterprise-grade AI product. This role requires a deep understanding of AI/ML systems, cloud-native architectures, and scalable software design. The applicant should have mandatorily worked on enterprise grade AI product or project for at least 2 - 3 years. This role includes at least 50% hands on development, 30% LLD and the remaining 20% of HLD / Architecture. The role is on the technical career path and is NOT suitable for project managers, technical managers, engineering managers etc. Key Responsibilities: Develop scalable, modular, and secure AI-driven software systems. Design APIs, microservices, and cloud infrastructure for AI workloads. Ensure seamless AI model integration and efficient scaling. Optimize performance & scalability of systems. Implement caching, load balancing, and distributed computing. Ensure security compliance (GDPR, SOC2) and secure data handling. Enforce best practices in authentication, encryption, and API security. Mandatory Skills & Qualifications: Experience: 8 - 10 years in software architecture & design, with at least 3+ years focused on AI/ML product design & development. Last 1 - 2 years should include deep Gen AI experience in enterprise grade AI projects or applications. Experience with design and developing applications with LLMs, RAG Applications, Gen AI Agents. Fine-tuning open-source LLMs. Experience with deploying and monitoring LLMs. Experience with LLM evaluation frameworks or tools like DeepEval, Langfuse or similar. Experience with frameworks like langchain, llamaindex, pydantic etc. Proficiency in RDBMS like PostgreSQL and knowledge of vector databases (eg: chromadb,Pinecone, FAISS, Weaviate). Strong background in microservices, RESTful & GraphQL APIs, event-driven architectures, Working experience with Kafka, RabbitMQ etc... Proficient in Python, Java for backend development Experience with TensorFlow, PyTorch, Hugging Face etc... Skilled in data processing (NumPy, Pandas, Dask,NLTK) and front-end (TypeScript, React.js). Experience in scalable AI systems, data pipelines, MLOps, and real-time inference. Strong understanding of security protocols, IAM, OAuth2, JWT, RBAC. Expertise in cloud platforms (AWS, GCP, Azure), Kubernetes, Docker. Hands-on experience with CI/CD (Eg: github,Jenkins etc...) Hands-on with system monitoring (Eg: ELK Stack,OpenTelemetry, Prometheus, Grafana). Nice-to-Have Skills: Ensuring AI model interpretability, fairness, and bias mitigation strategies. Optimizing model inference using quantization, distillation, and pruning techniques. Experience in deploying AI models in production at scale, including MLOps best practices. Designing AI systems with privacy-preserving techniques (differential privacy, homomorphic encryption etc.). Experience with knowledge graph-based AI applications.

Data Science Consultants (DSCs) design, develop and execute high-impact analytics solutions for large, complex, structured and unstructured data sets (including big data) to help clients make better fact-based decisions. Responsibilities: Develop advanced algorithms that solve problems of large dimensionality in a computationally efficient and statistically effective manner Execute statistical and data mining techniques (e.g. hypothesis testing, machine learning and retrieval processes) on large data sets to identify trends, figures and other relevantinformation Collaborating with clients and cross functional teams to develop & deploy the data science solutions effectively & communicate the analysis findings Contribute to the evaluation of emerging datasets and technologies that may contribute toour analytical platform Evaluating emerging datasets and technologies that may contribute to our analytical platform Owning the development of select assets/accelerators for efficient scaling of capability Contributing to the thought leadership of the firm by helping in researching the evolving topics and publishing them Qualifications: Bachelor's or master's degree or PhD in Computer Science (or Statistics) from a premier institute, and strong academic performance with analytic and quantitative coursework is required; Knowledge of big data/advanced analytics concepts and algorithms (e.g. text mining, social listening, recommender systems, predictive modeling, etc.); Knowledge of programming (e.g. Java/Python/R); Exposure to tools/platforms (e.g. Hadoop eco system and database systems); Excellent oral and written communication skills; Strong attention to detail, with a research-focused mindset; Excellent critical thinking and problem-solving skills; High motivation, good work ethic and maturity. ZS is a global consulting firm; fluency in English is required, additional fluency in at least one European or Asian language is desirable. ZS offers a competitive compensation package with salary and bonus incentives, plus an attractive benefits package.

Python with data science Responsibilities: We are looking for a highly skilled Python Developer to join our dynamic team. The ideal candidate will have extensive experience in Python development, a strong understanding of software engineering principles, and hands-on expertise in designing, developing, and deploying scalable applications. Define the variables and their inter-relationships and extract the data from our data repositories, leveraging infrastructure including Cloud computing solutions and relational database environments. Skills and Qualifications: 6.5 -11 years of experience. Bachelors degree in Comp Science / IT (or equivalent) with strong background in programming Expert-level Python programming with strong debugging skills Advanced experience with Flask for API development and deployment Proficiency in SQL, including complex query optimization and database design Strong understanding of software development best practices and documentation Hands on knowledge of working with LLM provider APIs like GPT, Claude, Cohere etc. Knowledge of working with at least one Agent framework like langchain, agentstudio. Expericence of working with Azure and containerized applications. Experience with data science libraries (NumPy, Pandas, Scikit-learn) Experience with multiple programming languages like Java, C# .NET would be a plus.

About the Role We are looking for an experienced and visionary Generative AI Architect with 8-12 years of experience in AI/ML, including hands-on work with LLMs (Large Language Models) and Generative AI solutions . In this strategic technical leadership role, you will be responsible for designing and overseeing the development of advanced GenAI platforms and solutions that transform business operations and customer experiences. As the GenAI Architect, you will work closely with data scientists, ML engineers, product teams, and stakeholders to conceptualize, prototype, and scale generative AI use cases across the organization or client engagements. Key Responsibilities GenAI Solution Architecture & Design Lead the design and development of scalable GenAI solutions leveraging LLMs , diffusion models , and multimodal architectures . Architect end-to-end pipelines involving prompt engineering , vector databases , retrieval-augmented generation (RAG) , and LLM fine-tuning . Select and integrate foundational models (e.g., GPT, Claude, LLaMA, Mistral ) based on business needs and technical constraints. Technical Strategy & Leadership Define GenAI architecture blueprints, best practices, and reusable components for rapid development and experimentation. Guide teams on model evaluation, inference optimization , and cost-effective scaling strategies . Stay current on the rapidly evolving GenAI landscape and assess emerging tools, APIs, and frameworks. Collaboration & Delivery Work with product owners, business leaders, and data teams to identify high-impact GenAI use cases across domains like customer support, content generation, document understanding, and code generation. Support PoCs, pilots, and production deployments of GenAI models in secure, compliant environments. Collaborate with MLOps and cloud teams to enable continuous delivery, monitoring, and governance of GenAI systems. Required Qualifications & Experience Education: Bachelor's or Masters degree in Computer Science, Artificial Intelligence, Data Science, or related technical field . PhD is a plus. Experience: 12–15 years in AI/ML and software engineering, with 3+ years focused on Generative AI and LLM-based architectures . Core Skills Deep expertise in machine learning , natural language processing (NLP) , and deep learning architectures . Hands-on experience with LLMs, transformers, fine-tuning techniques (LoRA, PEFT) , and prompt engineering . Proficient in Python , with libraries/frameworks such as Hugging Face Transformers, LangChain, OpenAI API, PyTorch, TensorFlow . Experience with vector databases (e.g., Pinecone, FAISS, Weaviate) and RAG pipelines . Strong understanding of cloud-native AI architectures (AWS/GCP/Azure), containerization (Docker/Kubernetes), and API integration. Architectural & Leadership Skills Proven ability to design and deliver scalable, secure, and efficient GenAI systems . Strong communication skills for cross-functional collaboration and stakeholder engagement. Ability to mentor engineering teams and drive innovation across the AI/ML ecosystem. Nice-to-Have Experience with multimodal models (text + image/audio/video). Knowledge of AI governance, ethical AI, and compliance frameworks . Familiarity with MLOps practices for GenAI , including model versioning, drift detection, and performance monitoring.

You'll be Responsible for: Design, develop and implement cutting-edge AI/ML solutions, including Large Language Models (LLMs) and Generative AI applications Lead projects end-to-end while mentoring team members in AI-ML, including traditional ML and emerging AI technologies Drive innovation in AI agent development and orchestration for automated decision-making systems Establish best practices for responsible AI development and deployment What you'd have: AI-ML Engineer or Data Scientist with 3 11 years of relevant experience Strong expertise in modern AI frameworks and tools: ML/DL frameworks (TensorFlow, PyTorch, Keras, Sklearn) LLM frameworks (LangChain, LlamaIndex, CrewAI, AutoGen) Vector databases (Pinecone, Weaviate, ChromaDB) – Good To Have Hands-on experience with: Generative AI and foundation models Prompt engineering and LLM fine-tuning AI agent development and orchestration RAG (Retrieval-Augmented Generation) systems Proven experience in data preparation, including: Advanced data preprocessing techniques Feature engineering Data quality assessment and improvement Proficiency in data exploration tools (Pandas, Numpy, Polars) Strong programming skills in Python; R is a plus Deep understanding of: Statistics and probability ML/DL algorithms AI governance and responsible AI practices Experience with: Large-scale data processing Model deployment and MLOps Cost optimization for AI systems Track record of 3-5 successful AI/ML projects in production Excellent communication skills and team leadership ability Continuous learning mindset for emerging AI technologies Skills: Statistics and Mathematics Classical Machine Learning Deep Learning and Neural Networks Generative AI and LLMs Agentic AI Development MLOps and Production Engineering Data Engineering Model Optimization and Tuning AI Governance and Ethics Team Leadership Why join us? Impactful Work: Drive innovation in AI technologies while safeguarding Tanla's assets, data, and reputation Growth Opportunities: Be part of a rapidly growing company in the telecom and CPaaS space, with clear paths for professional advancement Innovative Environment: Work with a world-class team on cutting-edge AI technologies in a challenging and collaborative environment Research Opportunities: Contribute to the advancement of GenAI and Agentic AI technologies Tanla is an equal opportunity employer. We champion diversity and are committed to creating an inclusive environment for all employees. www.tanla.com

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

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.