491 Generative Ai Jobs - Page 16

We are seeking a skilled Automation Engineer Performance Automation Testing (PAT) to join our team. The ideal candidate will have a strong background in DevOps, scripting, database analysis, and performance engineering, with an added advantage if they have experience in AI/ML and Generative AI. The role involves designing, developing, and maintaining automation frameworks to enhance performance testing and streamline deployment processes. Key Responsibilities: Develop and maintain automated pipelines for performance testing using DevOps principles. Write and optimize scripts using Java, Python, PowerShell, and Shell scripting . Analyze server-client architecture , application logs, and database performance to identify and resolve bottlenecks. Work with SQL databases (SQL, PL/SQL) to extract, manipulate, and analyze data for performance testing. Leverage Azure DevOps for CI/CD integration and automation. Utilize Application Performance Monitoring (APM) tools to track application performance and identify areas of improvement. Collaborate with cross-functional teams to ensure seamless automation and performance optimization. Stay updated on emerging trends in AI/ML and Generative AI , incorporating them where applicable. Required Skills & Qualifications: Strong experience in DevOps engineering and pipeline automation . Proficiency in Java, Python, PowerShell, and Shell scripting for automation and testing. Deep understanding of performance engineering , including server-client architecture, log analysis, and database performance tuning. Hands-on experience with SQL, PL/SQL development and database query optimization. Knowledge of Azure DevOps , including CI/CD pipelines and release management. Familiarity with APM tools (e.g., Dynatrace, New Relic, AppDynamics) for monitoring and debugging. Exposure to AI/ML and Generative AI is a plus. Location - Karnataka,Maharashtra,Tamil Nadu,Telangana

Experience: 10-17years Location: Pune, Hybrid Job Description: Role Purpose: The Digital products portfolio represents different customer facing digital channels such as social messaging, chat, and voice to allow our customers to self-service everything around their products and services. The heart of this represents the Vodafone global TOBi platform, which is an AI-powered chatbot platform which integrates with several channels to serve a consistent customer experience. The aim is to delight our customers with a wow effect by making the experience as smooth and intelligent as possible. The platform includes all aspects of an AI-powered system such as Intent Recognition, Dialogue Management, as well as Speech-to-Text and Text-to-Speech services. The role owner will be responsible for the integration and the orchestration of all the cognitive services into the global TOBi platform architecture and drive the adoption within the Vodafone markets. The role owner will be measured against the successful implementation and rollout into the Vodafone footprint. The role includes the ability to understand latest technology trends and convert those into assets. A strong international background is required as the role includes working with international teams as well as the Vodafone footprint across different markets. The role owner will be part of an agile squad and responsible to deliver the solutions to our markets. In Vodafone, we believe in the values of agile delivery, and we see the solution designer as a fundamental role within the delivery team, working closely with the Product Owner, Software Engineers, and DevOps resources. Core competencies, knowledge and experience Must have a balanced mix of comprehensive technical and business skills. Proven working experience in designing large distributed, secure and scalable architecture solutions Strong time-management skills and being comfortable working under pressure Proven experience of conducting technical workshop, presenting technical solutions, preparing architecture guidelines and technical strategy documents Good in Monitoring tool knowledge Dynatrace, Instana, Icinga Good understanding in database MongoDB, Cosmos DB, DynamoDB Should have a very good analytical, consultative and problem-solving mind-set, and an influential personality capable of quickly building rapport and credibility with teams. Excellent communication skills (in an international distributed team) Capacity to learn and work independently Good understanding of Kubernetes, Cognitive technologies (NLU, Text-to-Speech, Speech-to-Text) and Generative AI Services Experience on Azure or AWS Good understanding of Restful design principles and familiarity with technologies like Swagger, JSON, and HTTP. Must have technical / professional qualifications: Experienced in design and development of highly scalable, robust, distributed systems Higher education degree in IT/Engineering or related field Experience in agile methodologies, such as Scrum, Kanban Minimum 7 years of experience in solution design Roles and Responsibilities: Interface with Local Market stakeholders to review demand & design tailored solution Ability to interpret business challenges and technical issues and effectively communicate how a solution will align to their needs and requirements Works in close cooperation with Technical and Commercial Product Owners, Architects within the team, and Vodafone Enablers; leading to the Technology strategy, High-Level Design and contributing to shared propositions. Able to express complex concepts in plain language to reach broader audiences Must have a balanced mix of comprehensive technical and business skills. Proven working experience in designing large distributed, secure and scalable architecture solutions Proven experience of conducting technical workshop, presenting technical solutions, preparing architecture guidelines and technical strategy documents Should have a very good analytical, consultative and problem-solving mind-set, and an influential personality capable of quickly building rapport and credibility with teams. Excellent communication skills (in an international distributed team Good understanding of Kubernetes, Cognitive technologies (NLU, Text-to-Speech, Speech-to-Text) and Generative AI Services Good understanding of Restful design principles and familiarity with technologies like Swagger, JSON, and HTTP Delivery of products and services - lead the design and delivery of respective portfolio as aligned with Group Commercial, local markets and partners

Experience: 10-17years Location: Pune, Hybrid Job Description: Role Purpose: The Digital products portfolio represents different customer facing digital channels such as social messaging, chat, and voice to allow our customers to self-service everything around their products and services. The heart of this represents the Vodafone global TOBi platform, which is an AI-powered chatbot platform which integrates with several channels to serve a consistent customer experience. The aim is to delight our customers with a wow effect by making the experience as smooth and intelligent as possible. The platform includes all aspects of an AI-powered system such as Intent Recognition, Dialogue Management, as well as Speech-to-Text and Text-to-Speech services. The role owner will be responsible for the integration and the orchestration of all the cognitive services into the global TOBi platform architecture and drive the adoption within the Vodafone markets. The role owner will be measured against the successful implementation and rollout into the Vodafone footprint. The role includes the ability to understand latest technology trends and convert those into assets. A strong international background is required as the role includes working with international teams as well as the Vodafone footprint across different markets. The role owner will be part of an agile squad and responsible to deliver the solutions to our markets. In Vodafone, we believe in the values of agile delivery, and we see the solution designer as a fundamental role within the delivery team, working closely with the Product Owner, Software Engineers, and DevOps resources. Core competencies, knowledge and experience Must have a balanced mix of comprehensive technical and business skills. Proven working experience in designing large distributed, secure and scalable architecture solutions Strong time-management skills and being comfortable working under pressure Proven experience of conducting technical workshop, presenting technical solutions, preparing architecture guidelines and technical strategy documents Good in Monitoring tool knowledge Dynatrace, Instana, Icinga Good understanding in database MongoDB, Cosmos DB, DynamoDB Should have a very good analytical, consultative and problem-solving mind-set, and an influential personality capable of quickly building rapport and credibility with teams. Excellent communication skills (in an international distributed team) Capacity to learn and work independently Good understanding of Kubernetes, Cognitive technologies (NLU, Text-to-Speech, Speech-to-Text) and Generative AI Services Experience on Azure or AWS Good understanding of Restful design principles and familiarity with technologies like Swagger, JSON, and HTTP. Must have technical / professional qualifications: Experienced in design and development of highly scalable, robust, distributed systems Higher education degree in IT/Engineering or related field Experience in agile methodologies, such as Scrum, Kanban Minimum 7 years of experience in solution design Roles and Responsibilities: Interface with Local Market stakeholders to review demand & design tailored solution Ability to interpret business challenges and technical issues and effectively communicate how a solution will align to their needs and requirements Works in close cooperation with Technical and Commercial Product Owners, Architects within the team, and Vodafone Enablers; leading to the Technology strategy, High-Level Design and contributing to shared propositions. Able to express complex concepts in plain language to reach broader audiences Must have a balanced mix of comprehensive technical and business skills. Proven working experience in designing large distributed, secure and scalable architecture solutions Proven experience of conducting technical workshop, presenting technical solutions, preparing architecture guidelines and technical strategy documents Should have a very good analytical, consultative and problem-solving mind-set, and an influential personality capable of quickly building rapport and credibility with teams. Excellent communication skills (in an international distributed team Good understanding of Kubernetes, Cognitive technologies (NLU, Text-to-Speech, Speech-to-Text) and Generative AI Services Good understanding of Restful design principles and familiarity with technologies like Swagger, JSON, and HTTP Delivery of products and services - lead the design and delivery of respective portfolio as aligned with Group Commercial, local markets and partners

Gen AI Developer About Nous Nous Infosystems is a CMMI Level 5 and ISO 9001:2000 certified global information Technology Company with expertise in providing quality software solutions and IT-enabled support services to a wide range of industries. Nous was incorporated in 1996 with the mission of providing the highest quality software development services to clients around the world. Over the years, we have successfully broadened our service offerings to include consultancy services, software and hardware testing services, and a comprehensive range of IT enabled services. To know more about the company pls. visit our website www.nousinfosystems.com Job Title: Gen AI Developer Location: Bengaluru Experience: 1 to 4 years Employment Type: Full-time Educational Qualification: Bachelor's or Master's degree in Computer Science, Engineering, AI/ML, or related fields Job Summary: We are looking for a passionate and hands-on Generative AI Developer with 14 years of experience in building and deploying GenAI solutions. You will work on real-world projects involving Large Language Models (LLMs), prompt engineering, and API-based AI integrations. This is a great opportunity to be part of cutting-edge AI initiatives within enterprise environments. Key Responsibilities: Design and develop GenAI-based applications using LLMs like GPT, LLaMA, Mistral, etc. Work with APIs such as OpenAI, Cohere, or HuggingFace for language, vision, or multimodal use cases. Develop and fine-tune prompts for specific tasks (summarization, Q&A, text generation, etc.). Integrate GenAI capabilities with existing enterprise platforms using Python/JavaScript frameworks. Perform data preprocessing and chunking strategies for RAG (Retrieval-Augmented Generation). Evaluate GenAI model output quality using metrics like BLEU, ROUGE, perplexity, etc. Collaborate with data scientists and backend developers to deploy models using REST APIs. Work with vector databases (like FAISS, Pinecone, or Weaviate) for context-aware responses. Must-Have Skills: 13 years of experience in Python and AI/ML development Strong understanding of NLP and transformer-based models Exposure to LLMs (GPT, BERT, LLaMA, Falcon, etc.) Hands-on experience with OpenAI/HuggingFace APIs Prompt engineering and basic fine-tuning techniques Knowledge of LangChain or LlamaIndex for building GenAI pipelines Familiarity with tools like Git, Postman, and cloud platforms (AWS/GCP/Azure) Nice-to-Have: Experience with RAG architecture and document ingestion Knowledge of vector DBs (FAISS, Pinecone) Experience with frontend integration using Streamlit, React, or Flask Exposure to MLOps workflows or MLflow Participation in hackathons or open-source GenAI projects If you feel you match the above JD, then please do share your latest profile with the following details to raghur@nousinfo.com Current CTC :- Expected CTC :- Minimum Notice period :- Regards Raghu R 9880370901

Minimum experience: 5 years. Basic Guidelines : Ensure all submitted CVs are up to date. Maximum Notice Period 3 weeks Willingness to go for face 2 face interview in 24 hours. Employment verification 5 years and 7 years criminal background check. No fake and proxy interviews. Vendors will be blacklisted by TSI/ our Client, if guilty. Maintain the below tracker. Java Fullstack developer Primary skills: Java 8/11, Spring boot, Microservices, Rest API, UI REACT JS, REDUX Location: Bangalore and Chennai 2. Python + UI/API developer Primary skills: Python, Rest API, UI REACT JS, REDUX Location: Gurgaon 3.UI Engineer Primary skills: UI REACT JS, REDUX, JavaScript,ES6/Typescript,HTML5,CSS3,Bootstrap) Secondary skills: Java 8/11, Spring boot, Microservices, Rest API Location: Gurgaon and Bangalore 4. API Automation tester + Java scripting API Automation testing, Java scripting, SQL, MongoDB, Selenium Secondary skills: Rest assured / karate, Cucumber framework. DB Concepts, json queries Location: Bangalore and Gurgaon Job Description: 5+ years in Quality Assurance and testing. Demonstrated experience with Java or Python. Good experience in API automation using Selenium (Rest Assured or any other framework for automation and POSTMAN for manual). Preferably worked on creating frameworks. Must be well versed in BDD Cucumber frameworks. Working knowledge of MySQL and its implementation. Experience in creating scripts through REST APIs. Able to manage multiple work streams, independent, able to communicate well. Required Details Candidate's Full Name (As per passport): Contact Number: Email ID: Passport: LinkedIn ID link: Location (City & State): Relocation (Yes / No): Availability to join the project: Total working Experience: Currently on project (Yes/No): Have you Ever worked with Client: (If yes details) Any Interviews Pending: Any Offers in hand: Have you been submitted by Client: Any Issue with BGC: Bachelors details: Masters details: Rate: please submit your resumes to Naveen@tanishasystems.com

Job Description: Oracle Cloud Infrastructure (OCI) is a pioneering force in cloud technology, merging the agility of startups with the robustness of an enterprise software leader. Within OCI, the Oracle Generative AI Service team spearheads innovative solutions at the convergence of artificial intelligence and cloud infrastructure. As part of this team, you'll contribute to large-scale cloud solutions utilizing cutting-edge machine learning technologies, aimed at addressing complex global challenges. Join us to create innovative solutions using top-notch machine learning technologies to solve global challenges. We're looking for an experienced Principal Applied Data Scientist to join our OCI Gen-AI Solutions team for strategic customers. In this role, you'll collaborate with applied scientists and product managers to design, develop, and deploy tailored Gen-AI solutions with an emphasis on Large Language Models (LLMs), Agents, MPC and Retrieval Augmented Generation (RAG) with large OpenSearch clusters. As part of the OCI Gen AI and Data Solutions for strategic customers team, you will be responsible for developing innovative Gen AI and data services for our strategic customers.As a Principal Applied Data Scientist, you'll lead the development of advanced Gen AI solutions using the latest ML technologies combined with Oracle's cloud expertise. Your work will significantly impact sectors like financial services, telecom, healthcare, and code generation by creating distributed, scalable, high-performance solutions for strategic customers. Work directly with key customers and accompany them on their Gen AI journey - understanding their requirements, help them envision and design and build the right solutions and work together with their ML engineering to remove blockers. You will dive deep into model structure to optimize model performance and scalability. You will build state of art solutions with brand new technologies in this fast-evolving area. You will configure large scale OpenSearch clusters, setting up ingestion pipelines to get the data into the OpenSearch. You will diagnose, troubleshoot, and resolve issues in AI model training and serving. You may also perform other duties as assigned. Build re-usable solution patterns and reference solutions / showcases that can apply across multiple customers. Be an enthusiastic, self-motivated, and a great collaborator. Be our product evangelist - engage directly with customers and partners, participate and present in external events and conferences, etc. Qualifications and experience Bachelors or master's in computer science or equivalent technical field with 10+ years of experience Able to optimally communicate technical ideas verbally and in writing (technical proposals, design specs, architecture diagrams and presentations). Demonstrated experience in designing and implementing scalable AI models and solutions for production,relevant professional experience as end-to-end solutions engineer or architect (data engineering, data science and ML engineering is a plus), with evidence of close collaborations with PM and Dev teams. Experience with OpenSearch, Vector databases, PostgreSQL and Kafka Streaming. Practical experience with setting up and finetuning large OpenSearch Clusters. Experience in setting up data ingestion pipelines with OpenSearch. Experience with search algorithms, indexing, optimizing latency and response times. Practical experience with the latest technologies in LLM and generative AI, such as parameter-efficient fine-tuning, instruction fine-tuning, and advanced prompt engineering techniques like Tree-of-Thoughts. Familiarity with Agents and Agent frameworks and Model Predictive Control (MPC) Hands-on experience with emerging LLM frameworks and plugins, such as LangChain, LlamaIndex, VectorStores and Retrievers, LLM Cache, LLMOps (MLFlow), LMQL, Guidance, etc. Strong publication record, including as a lead author or reviewer, in top-tier journals or conferences. Ability and passion to mentor and develop junior machine learning engineers. Proficient in Python and shell scripting tools. Preferred Qualifications : Masters or Bachelor's in related field with 5+ years relevant experience Experience with RAG based solutions architecture. Familiarity in OpenSearch and Vector stores as a knowledge store Knowledge of LLM and experience delivering, Generative AI And Agent models are a significant plus. Familiarity and experience with the latest advancements in computer vision and multimodal modeling is a plus. Experience with semantic search, multi-modal search and conversational search. Experience in working on a public cloud environment, and in-depth knowledge of IaaS/PaaS industry and competitive capabilities.Experience with popular model training and serving frameworks like KServe, KubeFlow, Triton etc. Experience with LLM fine-tuning, especially the latest parameter efficient fine-tuning technologies and multi-task serving technologies. Deep technical understanding of Machine Learning, Deep Learning architectures like Transformers, training methods, and optimizers. Experience with deep learning frameworks (such as PyTorch, JAX, or TensorFlow) and deep learning architectures (especially Transformers). Experience in diagnosing, fixing, and resolving issues in AI model training and serving. Career Level - IC4

Job Title: Part-Time Data Scientist (Contract) Location: Gurgaon Experience Required: 6+ years Job Description: We are seeking an experienced and highly skilled Data Scientist/AI Developer for a part-time, contract-based position in Gurgaon. The ideal candidate will have extensive experience in Generative AI , Deep Learning applications, and Conversational AI systems , with a focus on creating innovative solutions using cutting-edge technologies. We are looking for a professional who can not only deliver exceptional results but also mentor team members, guide junior professionals, and help build and grow our AI/ML practice to new heights. Key Responsibilities: Develop and deploy advanced conversational AI systems and chatbots using the RASA framework . Integrate Large Language Models (LLMs) and Retrieval-Augmented Generation (RaG) techniques to enhance chatbot capabilities. Design and implement AI-driven solutions that align with client objectives, ensuring seamless performance and functionality. Build and optimize natural language processing models, including intent recognition , slot filling , and entity recognition . Collaborate with cross-functional teams to deliver scalable, cloud-based deployments and CRM integrations, such as Salesforce. Utilize frameworks and tools like LangChain , Google Dialogflow , OpenAI (LLaMA, GPT) , and Whisper ASR for efficient AI development. Leverage expertise in Prompt Engineering , Transformers , and advanced Natural Language Understanding (NLU) for robust AI system development. Employ containerization and deployment technologies like Docker and Kubernetes for streamlined development workflows. Required Skills & Qualifications: Programming Languages: Expert in Python. AI/ML Frameworks: Proficient in RASA, Google Dialogflow, IBM Watson, OpenAI tools (LLaMA, GPT), and LangChain. Natural Language Processing: Strong expertise in Transformers, Intent Recognition, Slot Filling, and Entity Recognition. Generative AI: Proven experience with LLMs and Retrieval-Augmented Generation (RaG). Tools & Technologies: Familiarity with Docker, Kubernetes, Git, and Whisper ASR. CRM Integration: Hands-on experience with Salesforce integration. Other Skills: Prompt Engineering, Cloud-based Deployments, and Bot Frameworks. Experience: Minimum 6 years of professional experience in AI, ML, and Conversational AI systems. Demonstrated ability to deliver innovative AI solutions tailored to business needs.

Role: AI Engineer Microsoft CoPilot Experience: 4 - 8 Years Location: Pune. Mandatory Skills: Microsoft Copilot, Gen AI, Azure AI, LLM, Langchain, RAG. Notice Period: Immediate Joiners Job Description: Requirements: Bachelors or Master’s degree in Computer Science, Data Science, or a related field. Proven experience in developing and deploying AI/ML models in real-world applications. Strong programming skills, especially in Python, and familiarity with version control systems like Git. Extensive experience in the Microsoft environment, with expertise in CoPilot and related technologies. Excellent problem-solving and communication skills. Ability to work independently and collaboratively in a fast-paced, dynamic environment. Responsibilities: Agent Development: Design, implement, and optimize AI agents using Microsoft CoPilot and related technologies. Develop custom AI solutions leveraging Power Automate, Azure OpenAI, and other Microsoft tools. Solution Integration: Deploy AI solutions within client environments, ensuring scalability and seamless integration with exiiting systems. Work with stakeholders to identify automation opportunities and tailor solutions to business needs. AI Algorithm and Model Implementation: Design and implement machine learning algorithms, focusing on natural language processing (NLP) and conversational AI. Perform data preprocessing, feature engineering, and model training to create high-performing solutions. Collaboration and Support: Collaborate with cross-functional teams, including software engineers, data scientists, and product managers, to deliver integrated solutions. Provide technical guidance and support to ensure the successful adoption and use of AI-driven tools. Continuous Improvement: Stay updated on advancements in AI, machine learning, and Microsoft’s AI technologies. Contribute to knowledge sharing by conducting training sessions and documenting best practices. Preferred Skills: Strong knowledge of Microsoft Power Automate, Azure AI, and CoPilot features. Proficiency in Python and its AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn). Familiarity with building and managing cloud-based solutions, preferably on Microsoft Azure. Understanding of conversational AI technologies and chatbot frameworks. Experience with data analysis tools and techniques to uncover insights and optimize models.

We are looking for candidates with expertise in Generative AI, Python, and Node.js.

5+ years of strong hands-on experience in Python programming 2+ years of experience working with AI tools and technologies Successfully delivered 2–3 AI implementation projects or use cases

We encourage you to apply if you have a passion for innovation, a strong technical background, and the ability to lead a team toward impactful, data-driven solutions About iSOCRATES Since 2015, iSOCRATES advises on, builds and manages mission-critical Marketing, Advertising and Data technologies, platforms, and processes as the Global Leader in MADTECH Resource Planning and Execution(TM). iSOCRATES delivers globally proven, reliable, and affordable Strategy and Operations Consulting and Managed Services for marketers, agencies, publishers, and the data/tech providers that enable them. iSOCRATES is staffed 24/7/365 with its proven specialists who save partners money, and time and achieve transparent, accountable, performance while delivering extraordinary value. Savings stem from a low-cost, focused global delivery model at scale that benefits from continuous re-investment in technology and specialized training. About MADTECH.AI MADTECH.AI is the Unified Marketing, Advertising, and Data Decision Intelligence Platform purpose-built to deliver speed to value for marketers. At MADTECH.AI, we make real-time AI-driven insights accessible to everyone. Whether youre a global or emerging brand, agency, publisher, or data/tech provider, we give you a single source of truth - so you can capture sharper insights that drive better marketing decisions faster and more affordable than ever before. MADTECH.AI unifies and transforms MADTECH data and centralizes decision intelligence in a single, affordable platform. Leave data wrangling, data model building, proactive problem solving, and data visualization to MADTECH.AI. Job Description: iSOCRATES is seeking a highly skilled and experienced Lead Data Scientist to spearhead our growing Data Science team. The Lead Data Scientist will be responsible for leading the team that defines, designs, reports on, and analyzes audience, campaign, and programmatic media trading data. This includes working with selected partner-focused Managed Services and Outsourced Services on behalf of our supply-side and demand-side partners. The role will involve collaboration with cross-functional teams and working across a variety of media channels, including digital and offline channels such as display, mobile, video, social, native, and advanced TV/Audio ad products. Key Responsibilities: 1. Team Leadership & Management: Lead and mentor a team of data scientists to drive the design, development, and implementation of data-driven solutions for media and marketing campaigns. 2. Advanced Analytics & Data Science Expertise: Provide hands-on leadership in applying rigorous statistical, econometric, and Big Data methods to define requirements, design analytics solutions, analyze results, and optimize economic outcomes. Expertise in modeling techniques including propensity modeling, Media Mix Modeling (MMM), Multi-Touch Attribution (MTA), Recency, Frequency, Monetary (RFM) analysis, Bayesian statistics, and non-parametric methods. 3. Generative AI & NLP: Lead the implementation and development of Generative AI, Large Language Models, and Natural Language Processing (NLP) techniques to enhance data modeling, prediction, and analysis processes. 4. Data Architecture & Management: Architect and manage dynamic data systems from diverse sources, ensuring effective integration and optimization of audience, pricing, and contextual data for programmatic and digital advertising campaigns. Oversee the management of DSPs, SSPs, DMPs, and other data systems integral to the ad-tech ecosystem. 5. Cross-Functional Collaboration: Work closely with Product, System Development, Yield, Operations, Finance, Sales, Business Development, and other teams to ensure seamless data quality, completeness, and predictive outcomes across campaigns. Design and deliver actionable insights, creating innovative, data-driven solutions and reporting tools for use by both iSOCRATES teams and business partners. 6. Predictive Modeling & Optimization: Lead the development of predictive models and analyses to drive programmatic optimization, focusing on revenue, audience behavior, bid actions, and ad inventory optimization (eCPM, fill rate, etc.). Monitor and analyze campaign performance, making data-driven recommendations for optimizations across various media channels including websites, mobile apps, and social media platforms. 7. Data Collection & Quality Assurance: Oversee the design, collection, and management of data, ensuring high-quality standards, efficient storage systems, and optimizations for in-depth analysis and visualization. Guide the implementation of tools for complex data analysis, model development, reporting, and visualization, ensuring alignment with business objectives. Qualifications: Masters or Ph.D. in Statistics, Engineering, Science, or Business with a strong foundation in mathematics and statistics. Looking for an experience of 8 to 10 years with at least 5 years of hands-on experience in data science, predictive analytics, media research, and digital analytics, with a focus on modeling, analysis, and optimization within the media, advertising, or tech industry. At least 3 years of hands-on experience with Generative AI, Large Language Models, and Natural Language Processing techniques. Minimum 3 years of experience in Publisher and Advertiser Audience Data Analytics and Modeling. Proficient in data collection, business intelligence, machine learning, and deep learning techniques using tools such as Python, R, scikit-learn, Hadoop, Spark, MySQL, and AWS S3. Expertise in logistic regression, customer segmentation, persona building, and predictive analytics. Strong analytical and data modeling skills with a deep understanding of audience behavior, pricing strategies, and programmatic media optimization. Experience working with DSPs, SSPs, DMPs, and programmatic systems. Excellent communication and presentation skills, with the ability to communicate complex technical concepts to non-technical stakeholders. Ability to manage multiple tasks and projects effectively, both independently and in collaboration with remote teams. Strong problem-solving skills with the ability to adapt to evolving business needs and deliver solutions proactively. Experience in developing analytics dashboards, visualization tools, and reporting systems. Background in digital media optimization, audience segmentation, and performance analytics. This is an exciting opportunity to take on a leadership role at the forefront of data science in the digital media and advertising space. If you have a passion for innovation, a strong technical background, and the ability to lead a team toward impactful, data-driven solutions, we encourage you to apply. An interest and ability to work in a fast-paced operation on the analytics and revenue side of our business

Position :- Corporate AI Trainer Location:- Delhi NCR Mode :- Hybrid Role Summary: We are seeking an experienced and AI-certified Corporate Trainer to lead the design, delivery, and evaluation of training programs that enhance employees' capabilities in digital transformation and artificial intelligence. The ideal candidate will have a strong understanding of AI concepts and tools, combined with instructional design and training facilitation expertise. Key Responsibilities: Develop and deliver engaging training sessions on AI fundamentals, tools, and applications. Train non-technical teams on using AI tools like ChatGPT, Microsoft Copilot, Notion AI, etc. Customize learning content for different departments based on business needs. Design e-learning modules and interactive workshops using AI-enhanced platforms. Collaborate with department heads to assess skill gaps and recommend AI-based solutions. Stay up to date with emerging AI trends and integrate them into L&D strategies. Evaluate training effectiveness through surveys, assessments, and impact analysis. Support digital transformation efforts and change management initiatives. Qualifications: Bachelors or Masters degree Certification in AI (e.g., Coursera, IBM, Microsoft, edX, or equivalent). Experience: 3+ years of experience as a corporate trainer, L&D specialist, or similar role. At least 3 year of experience working with AI tools or teaching AI-related content. Skills: Strong knowledge of AI/ML concepts (no coding required, but technical understanding is a plus). Excellent communication, facilitation, and interpersonal skills. Proficiency in using LMS platforms, AI tools, and e-learning development software. Ability to simplify complex topics for non-technical audiences. Creative and forward-thinking mindset. Preferred: Experience with tools like ChatGPT, Synthesia, Midjourney, Microsoft Copilot, or similar. Knowledge of data literacy, prompt engineering, or digital productivity tools.

ideyaLabs is seeking a talented and innovative Generative AI Engineers with experience in leveraging Low-Code/No-Code (LCNC) platforms. This unique role will be at the forefront of developing and deploying cutting-edge generative AI models while utilizing LCNC tools to accelerate prototyping, integration, and application development. The ideal candidate will possess a strong understanding of generative AI techniques, proficiency in programming, and a passion for exploring the synergy between AI and rapid application development. Responsibilities: Generative AI Model Development & Deployment: Design, develop, train, and evaluate generative AI models for various applications (e.g., text generation, image synthesis, code generation, synthetic data generation). Implement and optimize generative AI models using relevant frameworks (e.g., TensorFlow, PyTorch, Transformers). Deploy and scale generative AI models on cloud platforms (e.g., AWS, Azure, GCP) or on-premise infrastructure. Stay up-to-date with the latest advancements in generative AI research and techniques. Low-Code/No-Code Platform Utilization: Utilize LCNC platforms (e.g., Zoho Creator, Microsoft Power Apps, OutSystems, Mendix, Quixy) to rapidly prototype and build applications that integrate with generative AI models. Develop user interfaces and workflows using LCNC visual development tools. Connect generative AI APIs and services to LCNC applications. Build and deploy data connectors and integrations between various systems using LCNC capabilities. Integration & Application Development: Design and implement robust APIs and integration strategies to connect generative AI models with other systems and applications. Collaborate with software engineers and data scientists to build end-to-end AI-powered solutions. Develop and maintain documentation for AI models, LCNC applications, and integration processes. Experimentation & Innovation: Research and experiment with new generative AI models, LCNC platforms, and integration techniques. Evaluate the feasibility and potential of applying generative AI to solve specific business problems. Contribute to the development of best practices and guidelines for using generative AI and LCNC tools. Collaboration & Communication: Work closely with cross-functional teams, including product managers, designers, and business stakeholders. Communicate technical findings and progress effectively to both technical and non-technical audiences. Participate in code reviews and knowledge-sharing activities. Qualifications: Education: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Experience: 3 + years of experience in developing and deploying machine learning models, with a focus on generative AI. Proven experience working with at least one or more Low-Code/No-Code development platforms (e.g., Zoho Creator, Microsoft Power Apps, OutSystems, Mendix, Quixy). Experience in building and consuming APIs (RESTful, etc.). Technical Skills: Strong programming skills in Python and experience with relevant AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn, Transformers). Solid understanding of deep learning concepts and architectures relevant to generative models (e.g., GANs, VAEs, Diffusion Models, Transformers). Experience with cloud platforms (e.g., AWS, Azure, GCP) and their AI/ML services. Familiarity with data preprocessing, feature engineering, and model evaluation techniques. Understanding of database concepts and SQL. Proficiency in using visual development tools and integration capabilities of LCNC platforms. Soft Skills: Strong problem-solving and analytical skills. Excellent communication and collaboration abilities. Ability to learn quickly and adapt to new technologies. Proactive and self-motivated with a strong sense of ownership. Passion for innovation and exploring the potential of generative AI. Preferred Qualifications: Experience with specific generative AI applications relevant to our industry (e.g., content generation, synthetic data). Familiarity with containerization technologies (e.g., Docker, Kubernetes). Experience with MLOps practices and tools. Certifications in relevant AI/ML or LCNC platforms.

Role & responsibilities We are looking for Gen AI Engineer position permanent position with US MNC for Bangalore/Chennai/Pune/Noida/Gurgaon location (Hybrid). Preferred candidate profile Experience Hands-on engineering role focused on designing, building, and deploying Generative AI and LLM-based solutions. The role requires deep technical proficiency in Python and modern LLM frameworks with the ability to contribute to roadmap development and cross-functional collaboration. Key Responsibilities: Design and develop GenAI/LLM-based systems using tools such as Langchain and Retrieval-Augmented Generation (RAG) pipelines. Implement prompt engineering techniques and agent-based frameworks to deliver intelligent, context-aware solutions. Collaborate with the engineering team to shape and drive the technical roadmap for LLM initiatives. Translate business needs into scalable, production-ready AI solutions. Work closely with business SMEs and data teams to ensure alignment of AI models with real-world use cases. Contribute to architecture discussions, code reviews, and performance optimization. Skills Required: Proficient in Python, Langchain, and SQL. Understanding of LLM internals, including prompt tuning, embeddings, vector databases, and agent workflows. Background in machine learning or software engineering with a focus on system-level thinking. Experience working with cloud platforms like AWS, Azure, or GCP. Ability to work independently while collaborating effectively across teams. Excellent communication and stakeholder management skills. Preferred Qualifications: Hands-on experience in LLMs and Generative AI techniques. Experience contributing to ML/AI product pipelines or end-to-end deployments. Familiarity with MLOps and scalable deployment patterns for AI models. Prior exposure to client-facing projects or cross-functional AI teams.

Role & responsibilities We are looking for Gen AI Engineer position permanent position with US MNC for Bangalore/Chennai/Pune/Noida/Gurgaon location (Hybrid). Preferred candidate profile Experience Hands-on engineering role focused on designing, building, and deploying Generative AI and LLM-based solutions. The role requires deep technical proficiency in Python and modern LLM frameworks with the ability to contribute to roadmap development and cross-functional collaboration. Key Responsibilities: Design and develop GenAI/LLM-based systems using tools such as Langchain and Retrieval-Augmented Generation (RAG) pipelines. Implement prompt engineering techniques and agent-based frameworks to deliver intelligent, context-aware solutions. Collaborate with the engineering team to shape and drive the technical roadmap for LLM initiatives. Translate business needs into scalable, production-ready AI solutions. Work closely with business SMEs and data teams to ensure alignment of AI models with real-world use cases. Contribute to architecture discussions, code reviews, and performance optimization. Skills Required: Proficient in Python, Langchain, and SQL. Understanding of LLM internals, including prompt tuning, embeddings, vector databases, and agent workflows. Background in machine learning or software engineering with a focus on system-level thinking. Experience working with cloud platforms like AWS, Azure, or GCP. Ability to work independently while collaborating effectively across teams. Excellent communication and stakeholder management skills. Preferred Qualifications: Hands-on experience in LLMs and Generative AI techniques. Experience contributing to ML/AI product pipelines or end-to-end deployments. Familiarity with MLOps and scalable deployment patterns for AI models. Prior exposure to client-facing projects or cross-functional AI teams.

Skills: 1] Hands-on experience in LLM/ML based application development 2] Productionizing LLM/ML apps Data Handling/processing/engineering Dataset creation/curation 3] Understanding of different LLM performance metrics, fine-tuning, prompt engineering 4] Image/Video Processing 5] Generative AI, OpenAI, Claude Knowledge. Good in Prompt Engineering, autogen or similar agentic framework knowledge Skills : - LLM/ML ,application development, Data Handling,Data processing,Data engineering,Dataset creation, LLM performance metrics, fine-tuning, prompt engineering, Image/Video Processing, Generative AI, OpenAI, Claude, Prompt Engineering, autogen, agentic framework

Skills : 1] Hands-on experience in LLM/ML based application development 2] Productionizing LLM/ML apps Data Handling/processing/engineering Dataset creation/curation 3] Understanding of different LLM performance metrics, fine-tuning, prompt engineering 4] Image/Video Processing 5] Generative AI, OpenAI, Claude Knowledge. Good in Prompt Engineering, autogen or similar agentic framework knowledge

AI/ML Architecture Development Implement and deploy machine learning models in production environments Work with generative AI models and NLP techniques (e.g., OpenAI, Claude APIs) Apply prompt engineering and retrieval-augmented generation (RAG) techniques Build end-to-end ML workflows from data preprocessing to model evaluation Contribute to the development of conversational AI solutions Software Engineering Data Pipeline Development Design, build, and maintain data pipelines and end-to-end ML workflows. Build and deploy web services that integrate ML models Implement APIs using frameworks like FastAPI or Flask Work with databases (preferably MySql) and data processing tools Ensure code quality, performance, and security in all implementations Deployment Integration Build production-grade ML models and APIs and deploy them on cloud platforms with the help of the DevOps team. Ability to Monitor, analyze, and optimize the performance of deployed models and data workflows with the help of Devops team Collaboration Work closely with cross-functional teams including data scientists and software engineers Contribute to a culture of learning and innovation Adapt to challenges even when requirements are ambiguous Technical Requirements: Programming Frameworks: Strong proficiency in Python with hands-on experience in TensorFlow, PyTorch, Keras, and related ML libraries/Ecosystem. Experience with data science tools (pandas, NumPymatplotlib, scikit-learn) Generative AI Expertise: Knowledge of generative AI models and frameworks, including OpenAI APIs, LangChain, LangGraph, Hugging Face Transformers, and related technologies. Experience in fine-tuning large language models (LLMs) and implementing RAG systems leveraging vector databases like Pinecone or similar. Experience in developing multi-agent Retrieval-Augmented Generation (RAG) applications, integrating automated workflows to streamline data retrieval,processing, and response generation. API Development: Experience in developing and deploying APIs using frameworks like FastAPI or Flask. Qualifications: Bachelor s degree in Computer Science, Engineering or related field. 5+ years of hands-on experience in AI/ML engineering, with expertise in generative AI and data engineering. Excellent problem-solving, analytical, and communication skills. Ability to work independently in a fast-paced, dynamic environment while effectively collaborating with cross-functional teams.

AI/ML Architecture Development Implement and deploy machine learning models in production environments Work with generative AI models and NLP techniques (e.g., OpenAI, Claude APIs) Apply prompt engineering and retrieval-augmented generation (RAG) techniques Build end-to-end ML workflows from data preprocessing to model evaluation Contribute to the development of conversational AI solutions Software Engineering Data Pipeline Development Design, build, and maintain data pipelines and end-to-end ML workflows. Build and deploy web services that integrate ML models Implement APIs using frameworks like FastAPI or Flask Work with databases (preferably MySql) and data processing tools Ensure code quality, performance, and security in all implementations Deployment Integration Build production-grade ML models and APIs and deploy them on cloud platforms with the help of the DevOps team. Ability to Monitor, analyze, and optimize the performance of deployed models and data workflows with the help of Devops team Collaboration Work closely with cross-functional teams including data scientists and software engineers Contribute to a culture of learning and innovation Adapt to challenges even when requirements are ambiguous Technical Requirements: Programming Frameworks: Strong proficiency in Python with hands-on experience in TensorFlow, PyTorch, Keras, and related ML libraries/Ecosystem. Experience with data science tools (pandas, NumPymatplotlib, scikit-learn) Generative AI Expertise: Knowledge of generative AI models and frameworks, including OpenAI APIs, LangChain, LangGraph, Hugging Face Transformers, and related technologies. Experience in fine-tuning large language models (LLMs) and implementing RAG systems leveraging vector databases like Pinecone or similar. Experience in developing multi-agent Retrieval-Augmented Generation (RAG) applications, integrating automated workflows to streamline data retrieval,processing, and response generation. API Development: Experience in developing and deploying APIs using frameworks like FastAPI or Flask. Qualifications: Bachelor s degree in Computer Science, Engineering or related field. 5+ years of hands-on experience in AI/ML engineering, with expertise in generative AI and data engineering. Excellent problem-solving, analytical, and communication skills. Ability to work independently in a fast-paced, dynamic environment while effectively collaborating with cross-functional teams.

Develop and implement AI scripts using Python to automate processes and tasks. Apply knowledge of the OpenAI API to create complex AI workflows and enhance automation solutions. Lead the deployment of AI solutions in Azure Apply Langchain Required Candidate profile 5+ years of development experience in .NET , Python and Azure 3+ years of experience in Data Science, Machine learning along with hands on experience with GenAI and LLMs

US Shift (8:30 pm to 5:30 AM) Generative AI Developer requirement: Experience using LLM models. Development methodology in AI use cases. Experience on Azure Open AI If interested, please share your resume at simran.agrawal1@elevancesystems.com

Be an Individual Contributor in the Analytics and Development team and solve real-world problems using cutting-edge capabilities and emerging technologies based on LLM/GenAI/GPT Software development experience in python is needed as backend for UI based applications Be a part of large delivery teams working on advanced projects when expert assistance is required. Deliver advanced Data Science capabilities to businesses in a meaningful manner through successful proof-of-concept solutions, and later smoothly transition the proof-of-concept into production. Create Technical documents, develop, test, and deploy data analytics processes using Python, SQL on Azure/AWS platforms Can interact with client on GenAI related capabilities and use cases Qualification: - - B-Tech or BE in Computer Science / Computer Applications from Tier 1-2 college OR - Master's degree in Machine Learning / Statistics / Econometrics, or related discipline from Tier 1-2 college Must have Skills: - Require 3-15 years experience to develop, test, and deploy Python based applications on Azure/AWS platforms Must have basic knowledge on concepts of Generative AI / LLMs / GPT Deep understanding of architecture and work experience on Web Technologies Python, SQL hands-on experience Expertise in any popular python web frameworks e.g. flask, Django etc. Familiarity with frontend technologies like HTML, JavaScript, REACT Skills that give you an edge: - Strong analytical skills to solve and model complex business requirements are a plus. With life sciences or pharma background.

Be an Individual Contributor in the Analytics and Development team and solve real-world problems using cutting-edge capabilities and emerging technologies based on LLM/GenAI/GPT Software development experience in python is needed as backend for UI based applications Be a part of large delivery teams working on advanced projects when expert assistance is required. Deliver advanced Data Science capabilities to businesses in a meaningful manner through successful proof-of-concept solutions, and later smoothly transition the proof-of-concept into production. Create Technical documents, develop, test, and deploy data analytics processes using Python, SQL on Azure/AWS platforms Can interact with client on GenAI related capabilities and use cases Qualification: - - B-Tech or BE in Computer Science / Computer Applications from Tier 1-2 college OR - Master's degree in Machine Learning / Statistics / Econometrics, or related discipline from Tier 1-2 college Must have Skills: - Require 3-15 years experience to develop, test, and deploy Python based applications on Azure/AWS platforms Must have basic knowledge on concepts of Generative AI / LLMs / GPT Deep understanding of architecture and work experience on Web Technologies Python, SQL hands-on experience Expertise in any popular python web frameworks e.g. flask, Django etc. Familiarity with frontend technologies like HTML, JavaScript, REACT Skills that give you an edge: - Strong analytical skills to solve and model complex business requirements are a plus. With life sciences or pharma background.

Lead Software Engineer GenAI Development and Exploration Location: India Experience: 5–10 Years Primary Skillset: Generative AI Services, Machine Learning, Python, Cloud, MLOps, Prompt Engineering About the Role: We are seeking a visionary and hands-on Lead Software Engineer to drive Generative AI development and exploration initiatives within our technology innovation team. This role is ideal for someone passionate about applying GenAI to real-world enterprise challenges and who enjoys building proof-of-concepts, production-ready solutions, and scalable AI platforms. Key Responsibilities: • Lead the design and development of Generative AI applications , including LLM-based solutions, document intelligence, summarization, chatbot development, and intelligent automation. • Evaluate and integrate GenAI services and APIs (e.g., Vertex AI , OpenAI , Anthropic , HuggingFace , etc.) into existing or new platforms. • Build scalable backend services and data pipelines to support AI/ML workloads. • Explore and validate use cases across multiple business functions for GenAI application and automation opportunities. • Mentor junior engineers on GenAI design patterns, best practices, and engineering discipline. • Partner with data scientists, product teams, and business stakeholders to define requirements, build MVPs, and iterate toward enterprise-scale solutions. • Champion MLOps practices for GenAI model deployment, monitoring, and lifecycle management. • Contribute to technical research, architecture recommendations, and the long-term GenAI roadmap. Qualifications: • Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, or related field. • 8+ years of experience in software engineering with 2–3 years working directly with AI/ML models or GenAI solutions . • Strong experience with Python , cloud platforms (especially GCP Vertex AI ), and ML frameworks. • Hands-on experience with LLMs , prompt engineering , fine-tuning, and embeddings. • Experience in building and integrating GenAI services in real-time or batch applications. • Solid understanding of machine learning lifecycle , data preprocessing , and deployment pipelines . • Familiarity with CI/CD pipelines , API development , and cloud-native architectures . • Excellent communication, collaboration, and stakeholder management skills.

We are looking for a passionate and skilled AI/ML Developer with 4 to 9 years of experience to join our team in Kolkata. The ideal candidate will have hands-on experience in building and deploying AI/ML models, with strong proficiency in Python, machine learning frameworks, and a solid understanding of modern development practices. Role & responsibilities Design, develop, and deploy machine learning and AI solutions for business needs. Work with Generative AI models, Whisper (Speech-to-Text/Text-to-Speech), and NLP-based chatbot solutions. Build and maintain scalable and reliable AI model pipelines. Collaborate with cross-functional teams using Agile methodologies. Perform data preprocessing, feature engineering, and model tuning. Deploy models to production environments and monitor performance. Integrate AI/ML solutions into web applications using technologies such as React.js, Oracle APEX, Oracle JET, and HTML5. Participate in system design and apply software engineering best practices including design patterns and testing. Preferred candidate profile AI/ML & Data: Machine Learning, Deep Learning Generative AI, Whisper (Speech-to-Text/Text-to-Speech) Chatbot Development, Natural Language Processing (NLP) AI Model Deployment (cloud/on-premise) Programming & Frameworks: Proficient in Python Experience with TensorFlow, PyTorch Frontend/Backend & Scripting: React.js, HTML5 Oracle APEX, Oracle JET Linux Shell Scripting Tools & DevOps: Docker, Git, Jira Methodologies: Agile Development System Design, Design Patterns Preferred Qualifications: Bachelors/Master’s degree in Computer Science, Engineering, or a related field. Strong analytical and problem-solving skills. Excellent communication and teamwork abilities. Experience working in a product or R&D environment is a plus.