282 Genai Jobs

Job Description: As an LLM Evaluation Expert specializing in Coding, you will play a crucial role in assessing and improving our language models' coding capabilities. Your expertise will be instrumental in evaluating LLM-generated code responses, making high-level judgments, and setting the standard for what constitutes excellent AI-assisted coding. Key Responsibilities: • Critically analyze and evaluate code responses generated by our LLMs across various programming languages and paradigms • Exercise expert judgment to select the most appropriate and efficient code solutions from multiple LLM-generated options • Make informed decisions on behalf of our customers, ensuring that selected code meets industry standards, best practices, and specific client needs • Develop and write coding demonstrations to illustrate "what good looks like" in AI-generated code, setting benchmarks for quality and efficiency • Provide detailed feedback and explanations for your evaluations, helping to refine and improve the LLM's understanding and output • Collaborate with the AI research team to identify areas for improvement in the LLM's coding capabilities • Stay abreast of the latest developments in software engineering, coding standards, and AI to ensure our evaluations remain cutting-edge Required Qualifications: • Advanced degree in Computer Science, Software Engineering, or a related field • Extensive experience (1+ years) in software development across multiple programming languages and paradigms • Demonstrated ability to critically evaluate code quality, efficiency, and adherence to best practices • Strong analytical and decision-making skills, with the ability to make complex judgments under ambiguous circumstances • Excellent written and verbal communication skills, with the ability to explain technical concepts clearly • Experience in technical writing, particularly in creating coding examples or tutorials Preferred Qualifications: • Previous experience working with or evaluating AI systems, particularly in the context of code generation • Familiarity with a wide range of software development methodologies and architectural patterns • Understanding of machine learning concepts, particularly as they apply to natural language processing and code generation • Experience in creating or contributing to coding standards or style guides This role requires a unique blend of technical expertise, critical thinking, and communication skills. You will be the bridge between advanced AI technology and practical, real-world coding applications. Your work will directly influence the development of next-generation AI coding assistants, shaping the future of software development. If you're passionate about code quality, have a keen eye for detail, and are excited about the potential of AI in software engineering, we encourage you to apply for this pivotal role at AGI Data Services.

Your day at NTT DATA Senior GenAI Data Engineer We are seeking an experienced Senior Data Engineer to join our team in delivering cutting-edge Generative AI (GenAI) solutions to clients. The successful candidate will be responsible for designing, developing, and deploying data pipelines and architectures that support the training, fine-tuning, and deployment of LLMs for various industries. This role requires strong technical expertise in data engineering, problem-solving skills, and the ability to work effectively with clients and internal teams. What you'll be doing Key Responsibilities: Design, develop, and manage data pipelines and architectures to support GenAI model training, fine-tuning, and deployment Data Ingestion and Integration: Develop data ingestion frameworks to collect data from various sources, transform, and integrate it into a unified data platform for GenAI model training and deployment. GenAI Model Integration: Collaborate with data scientists to integrate GenAI models into production-ready applications, ensuring seamless model deployment, monitoring, and maintenance. Cloud Infrastructure Management: Design, implement, and manage cloud-based data infrastructure (e.g., AWS, GCP, Azure) to support large-scale GenAI workloads, ensuring cost-effectiveness, security, and compliance. Write scalable, readable, and maintainable code using object-oriented programming concepts in languages like Python, and utilize libraries like Hugging Face Transformers, PyTorch, or TensorFlow Performance Optimization: Optimize data pipelines, GenAI model performance, and infrastructure for scalability, efficiency, and cost-effectiveness. Data Security and Compliance: Ensure data security, privacy, and compliance with regulatory requirements (e.g., GDPR, HIPAA) across data pipelines and GenAI applications. Client Collaboration: Collaborate with clients to understand their GenAI needs, design solutions, and deliver high-quality data engineering services. Innovation and R&D: Stay up to date with the latest GenAI trends, technologies, and innovations, applying research and development skills to improve data engineering services. Knowledge Sharing: Share knowledge, best practices, and expertise with team members, contributing to the growth and development of the team. Requirements: Bachelors degree in computer science, Engineering, or related fields (Master's recommended) Experience with vector databases (e.g., Pinecone, Weaviate, Faiss, Annoy) for efficient similarity search and storage of dense vectors in GenAI applications 5+ years of experience in data engineering, with a strong emphasis on cloud environments (AWS, GCP, Azure, or Cloud Native platforms) Proficiency in programming languages like SQL, Python, and PySpark Strong data architecture, data modeling, and data governance skills Experience with Big Data Platforms (Hadoop, Databricks, Hive, Kafka, Apache Iceberg), Data Warehouses (Teradata, Snowflake, BigQuery), and lakehouses (Delta Lake, Apache Hudi) Knowledge of DevOps practices, including Git workflows and CI/CD pipelines (Azure DevOps, Jenkins, GitHub Actions) Experience with GenAI frameworks and tools (e.g., TensorFlow, PyTorch, Keras) Nice to have: Experience with containerization and orchestration tools like Docker and Kubernetes Integrate vector databases and implement similarity search techniques, with a focus on GraphRAG is a plus Familiarity with API gateway and service mesh architectures Experience with low latency/streaming, batch, and micro-batch processing Familiarity with Linux-based operating systems and REST APIs Location: Delhi or Bangalore Workplace type : Hybrid Working

Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion its a place where you can grow, belong and thrive. Your day at NTT DATA We are seeking a talented AI/GenAI Engineer to join our team in delivering cutting-edge AI solutions to clients. The successful candidate will be responsible for implementing, developing, and deploying AI/GenAI models and solutions on cloud platforms. This role requires knowledge of ServiceNow modules like CSM and virtual agent development. Candidate should have strong technical aptitude, problem-solving skills, and the ability to work effectively with clients and internal teams. What youll be doing Key Responsibilities: Cloud AI Implementation: Implement and deploy AI/GenAI models and solutions using various cloud platforms (e.g., AWS SageMaker, Azure ML, Google Vertex AI) and frameworks (e.g., TensorFlow, PyTorch, LangChain, Vellum). Build Virtual Agent in SN Design, develop and deploy virtual agents using SN agent builder Integrate SN Design and develop seamless integration of SN with other external AI systems Agentic AI: Assist in developing agentic AI systems on cloud platforms, enabling autonomous decision-making and action-taking capabilities in AI solutions. Cloud-Based Vector Databases: Implement cloud-native vector databases (e.g., Pinecone, Weaviate, Milvus) or cloud-managed services for efficient similarity search and retrieval in AI applications. Model Evaluation and Fine-tuning: Evaluate and optimize cloud-deployed generative models using metrics like perplexity, BLEU score, and ROUGE score, and fine-tune models using techniques like prompt engineering, instruction tuning, and transfer learning. Security for Cloud LLMs: Apply security practices for cloud-based LLMs, including data encryption, IAM policies, and network security configurations. Client Support Support client engagements by implementing AI requirements and contributing to solution delivery. Cloud Solution Implementation: Build scalable and efficient cloud-based AI/GenAI solutions according to architectural guidelines. Cloud Model Development: Develop and fine-tune AI/GenAI models using cloud services for specific use cases, such as natural language processing, computer vision, or predictive analytics. Testing and Validation Conduct testing and validation of cloud-deployed AI/GenAI models, including performance evaluation and bias detection. Deployment and Maintenance Deploy AI/GenAI models in production environments, ensuring seamless integration with existing systems and infrastructure. Cloud Deployment Deploy AI/GenAI models in cloud production environments and integrate with existing systems. Education Bachelor/Masters in Computer Science, AI, ML, or related fields. Experience 3-5 years of experience in engineering solutions, with a track record of delivering Cloud AI solutions. . Should have at least 2 years experience of SN and SN agent builder Technical Skills: Proficiency in cloud AI/GenAI services and technologies across major cloud providers (AWS, Azure, GCP) Experience with cloud-native vector databases and managed similarity search services Experience with SN modules like CSM and virtual agent builder Experience with security measures for cloud-based LLMs, including data encryption, access controls, and compliance requirements Programming Skills: Strong programming skills in languages like Python or R Cloud Platform Knowledge: Strong understanding of cloud platforms, their AI services, and best practices for deploying ML models in the cloud Communication Excellent communication and interpersonal skills, with the ability to work effectively with clients and internal teams. Problem-Solving Strong problem-solving skills, with the ability to analyse complex problems and develop creative solutions. Nice to have: Experience with serverless architectures for AI workloads Nice to have: Experience with ReactJS for rapid prototyping of cloud AI solution frontends Location: Delhi or Bangalore (with remote work options)

Key Responsibilities: Design and Development: Design, architect, and deploy AI/GenAI models and solutions using various technologies and frameworks (e.g., TensorFlow, PyTorch, LangChain, Vellum etc) on non-cloud infrastructure. Agentic AI: Lead the development and integration of agentic AI systems, enabling autonomous decision-making and action-taking capabilities in AI solutions. Vector Database: Design and implement vector databases (e.g., Faiss, Annoy, Hnswlib) for efficient similarity search and retrieval in AI applications. Technical Leadership: Provide technical guidance and mentorship to junior team members, ensuring high-quality deliverables and adherence to best practices. Security of LLMs: Design and implement robust security measures to prevent data poisoning, model inversion attacks, and membership inference attacks, including data encryption, access controls, model watermarking, and regular security audits. Client Engagement: Collaborate with clients to understand their AI requirements, develop tailored solutions, and deliver high-quality results. Act as a trusted technical advisor. Model Development: Develop and fine-tune AI/GenAI models for specific use cases, such as natural language processing, computer vision, or predictive analytics. Testing and Validation: Design and oversee thorough testing and validation of AI/GenAI models, including performance evaluation, bias detection, and explainability. Deployment and Maintenance: Lead the deployment of AI/GenAI models in production environments, ensuring seamless integration with existing systems and infrastructure. Knowledge Sharing: Share knowledge and expertise with the team, contributing to the development of best practices and staying up-to-date with industry trends. Lead training sessions for team members. Collaboration: Work closely with cross-functional teams, including data science, engineering, and product management, to ensure successful project delivery. Requirements: Education: Bachelor/Master's in Computer Science, AI, ML, or related fields. Experience: 8+ years of experience in engineering solutions, with a track record of delivering AI solutions. Technical Skills: Advanced Proficiency in AI/GenAI technologies, including deep learning frameworks, NLP, and computer vision. Experience with vector databases and similarity search algorithms. Experience with security measures for LLMs, including data encryption, access controls, and model watermarking. Programming Skills: Strong programming skills in languages like Python or R Communication: Excellent communication and interpersonal skills, with the ability to work effectively with clients and internal teams. Problem-Solving: Strong problem-solving skills, with the ability to analyse complex problems and develop creative solutions. Nice to have: Experience with containerization (Docker) and orchestration (Kubernetes) Nice to have: Experience with ReactJS for rapid prototyping

Job Description Education and Work Experience Requirements: 5 to 8 years of experience as Data Scientist or GenAI specialist 2 to 3 years of experience in Generative AI solution development. Proven track record and experience with with GenAI technologies Open source LLMs like Llama, Gemma, Mixtral etco Closed source LLMs such as Open AI GPT, Azure Open AI, Claude, Gemini etco Prompt Engineering/Tuning, RAG, RAFT, LLM finetuning such as PEFT(LoRA, QLoRA ..) Understanding of SLMs such as Phi3, BERT and Transformer architectureo Vector databases like Pincone, Qdrant etc. Good knowledge of advanced statistical methods. Experience working with Text Data using transformer-based model Expertise with the following scripting languages:o Python, R, Tensorflow, Keras, Pytorch OpenNLP, CoreNLP, WordNet, NLTK, SpaCy, Gensim, Large Language Models, Knowledge Graphs Good and experience of machine learning algorithms and ability to apply them in supervised and un-supervised NLP tasks. Knowledge of NLP algorithms that can handle various NLP tasks such as intent recognition, entity extraction, language modeling, text classification, question answering, text summarization, topic modeling and so on. Experience building and fine-tuning Language Models (LMs), such as BERT, ELMo, XLNet etc to solve bespoke NLP tasks. Tech savy and willing to work with open-Source Tools Should have independently handled a project technically and provided directions to the other Team Members. Able to lead the project independently. Experience in turning ideas into actionable designs. Able to persuade stakeholders and champion effective techniques through development. Strong interpersonal and communication skills: ability to tell a clear, concise, actionable story with data, to folks across various levels of the company. Good to have foundational knowledge on Cloud, API frameworks like Flask, Fast API, Swagger/Postman tools Prior experience working on Mobility or Healthcare domain will be a plus Mandatory Skills: Design, develop, test, and deploy Machine Learning models using state-of-the-art algorithms with a strong focus on language models. Strong understanding of LLMs, and associated technologies like RAG, Agents, VectorDB and Guardrails Hand-on experience in GenAI frameworks like LlamaIndex, Langchain, Autogen, etc. Experience in cloud services like Azure, GCP and AWS Interact with our research team and with key partners in the market to build end-to-end AI/ML/NLP solutions: Conversational AI, document understanding and QnA. Mine and analyze data, applying statistical methods as necessary, pertaining to customers discovery, and viewing experiences to identify critical product insights. Proactively develop new metrics and studies to quantify the value of different aspects of product. Drive efforts to enable product and engineering leaders to share your knowledge and insights through clear and concise communication, education, and data visualization. Translate analytic insights into concrete, actionable recommendations for business or product improvement. Build and improve reusable tools & modelling pipelines and support knowledge sharing across several teams. Define and deploy best practices in Machine Learning & MLOps/LLMOps, mentor and teach colleagues. Partner closely with product and engineering leaders throughout the lifecycle of project

1. Proven experience with SAP BTP Document Information Extraction (DIX) service for intelligent document processing and automation. 2. Hands-on expertise in SAP GenAI Core for building and deploying generative AI scenarios within SAP ecosystems. 3. Proficient in using SAP AI Launchpad for managing and monitoring AI models and services. 4. Strong development background in SAP Fiori applications, including custom UI5 apps and standard Fiori elements. 5. Deep understanding of CAPM (Cloud Application Programming Model) for building scalable and secure cloud-native applications. 6. Ability to integrate BTP services with on-premise and cloud-based SAP systems. 7. Experience in designing and implementing end-to-end business processes using SAP BTP tools and services. 8. Familiarity with SAP Business Application Studio and DevOps practices for continuous integration and delivery. 9. Strong debugging, performance tuning, and optimization skills in SAP BTP environments. 10. Excellent collaboration and communication skills to work with cross-functional teams and stakeholders.

Role Purpose The purpose of this role is to design, test and maintain software programs for operating systems or applications which needs to be deployed at a client end and ensure its meet 100% quality assurance parameters Do Instrumental in understanding the requirements and design of the product/ software Develop software solutions by studying information needs, studying systems flow, data usage and work processes Investigating problem areas followed by the software development life cycle Facilitate root cause analysis of the system issues and problem statement Identify ideas to improve system performance and impact availability Analyze client requirements and convert requirements to feasible design Collaborate with functional teams or systems analysts who carry out the detailed investigation into software requirements Conferring with project managers to obtain information on software capabilities Perform coding and ensure optimal software/ module development Determine operational feasibility by evaluating analysis, problem definition, requirements, software development and proposed software Develop and automate processes for software validation by setting up and designing test cases/scenarios/usage cases, and executing these cases Modifying software to fix errors, adapt it to new hardware, improve its performance, or upgrade interfaces. Analyzing information to recommend and plan the installation of new systems or modifications of an existing system Ensuring that code is error free or has no bugs and test failure Preparing reports on programming project specifications, activities and status Ensure all the codes are raised as per the norm defined for project / program / account with clear description and replication patterns Compile timely, comprehensive and accurate documentation and reports as requested Coordinating with the team on daily project status and progress and documenting it Providing feedback on usability and serviceability, trace the result to quality risk and report it to concerned stakeholders Status Reporting and Customer Focus on an ongoing basis with respect to project and its execution Capturing all the requirements and clarifications from the client for better quality work Taking feedback on the regular basis to ensure smooth and on time delivery Participating in continuing education and training to remain current on best practices, learn new programming languages, and better assist other team members. Consulting with engineering staff to evaluate software-hardware interfaces and develop specifications and performance requirements Document and demonstrate solutions by developing documentation, flowcharts, layouts, diagrams, charts, code comments and clear code Documenting very necessary details and reports in a formal way for proper understanding of software from client proposal to implementation Ensure good quality of interaction with customer w.r.t. e-mail content, fault report tracking, voice calls, business etiquette etc Timely Response to customer requests and no instances of complaints either internally or externally Stakeholder Interaction Stakeholder Type Stakeholder Identification Purpose of Interaction Internal Lead Software Developer and Project Manager Regular reporting & updates Software Developers For work coordination and support in providing testing solutions External Clients Provide apt solutions and support as per the requirement Display Lists the competencies required to perform this role effectively: Functional Competencies/ Skill Leveraging Technology Knowledge of current and upcoming technology along with expertise in programming (automation, tools and systems) to build efficiencies and effectiveness in own function/ Client organization Competent Process Excellence - Ability to follow the standards and norms to produce consistent results, provide effective control and reduction of risk Expert Technical knowledge knowledge of various programming languages, tools, quality management standards and processes - Expert Competency Levels Foundation Knowledgeable about the competency requirements. Demonstrates (in parts) frequently with minimal support and guidance. Competent Consistently demonstrates the full range of the competency without guidance. Extends the competency to difficult and unknown situations as well. Expert Applies the competency in all situations and is serves as a guide to others as well. Master Coaches others and builds organizational capability in the competency area. Serves as a key resource for that competency and is recognised within the entire organization. Behavioral Competencies Formulation & Prioritization Innovation Managing Complexity Execution Excellence Passion for Results Deliver / No. / Performance Parameter / Measure - 1. Continuous Integration, Deployment & Monitoring of Software 100% error free on boarding & implementation, throughput %, Adherence to the schedule/ release plan 2. Quality & CSAT On-Time Delivery, Manage software, Troubleshoot queries Customer experience, completion of assigned certifications for skill upgradation 3. MIS & Reporting 100% on time MIS & report generation Mandatory Skills: Python, GenAI, AWS Preferred Skills: NLP , AI/ML , LLM Architect and implement Al solutions utilizing cutting-edge technologies like LLM, Langchain, and Machine Learning. AIML solution development in Azure using Python Ability to build and finetune the model to improve the performance Create own technology if off-the-shelf technology is not solving the problem. E.g changes to traditional RAG approaches, finetune LLM, create architectures. Use experience and advise leadership and team of data scientists best approaches, architectures for complex ML use cases. Lead from the front, responsible for coding, designing, and ensuring best practices & frameworks are adhered by the team. Create end to end AI systems with responsible AI principles Develop data pipelines using SQL to extract and transform data from Snowflake for Al model training and inference. Possess expertise in Natural Language Processing (NLP) & GenAI to integrate text-based data sources into the Al architecture. Collaborate with data scientists and engineers to ensure seamless integration of Al components into existing systems. Responsible for continuous communication about the team progress to keystakeholder.

1. Lead consulting assignments and deliver business value to the customers through quality initiatives. 2. Support process excellence initiatives and drive improvement projects in a complex and fast paced environment. 3. Drive benchmarking and best practices deployment across accounts. 4. Identifying process gaps & improvement opportunities to infuse efficiency and effectiveness into business processes. 5. Understand potential customer dis-satisfaction drivers and proactively mitigate any CSAT risks. 6. Work closely with customers and operations leadership team to identify improvement opportunities and drive them to closure. 7. Drive projects to improve and maintain the profitability of the process. 8. Leading and ensuring governance for Quality/ Process Excellence initiatives for Large Engagements. 9. Drive a culture of process improvement using tools like Six Sigma, Lean and Kaizen. 10. Drive standardization practices and ensure strict compliance in internal and client defined processes. 11. Ensure all process metrics are met. Educational Qualification: Graduate, BE/ B. Tech/ PG Certifications : Lean, Six Sigma Work Experience: 4+ year relevant & 6+ years overall experience Work Experience: 1. Excellence head with a demonstrated history of working in the outsourcing/offshoring industry. 2. Experience in managing Quality/ Process Excellence initiatives for Large Engagements. 3. Must have led/ driven six sigma and lean projects. 4. Hands on experience in driving large transformational programs involving process reengineering, analytics, automation etc. 5. Must have worked in cross functional teams and demonstrated ability to drive change in the process. 6. Excellent oral and written communication skills and should be able to manage internal stake holders as well as customers. 7. Well versed with MS Office Excel and PowerPoint, Minitab 8. PowerBi & GenAi past experience would be added advantage

Should have 7+ years of experience in GenAI. Should have experience in Python , Typescript, RAG Architecture Design, GraphRAG, Agentic Architecture, SQL, Milvus, Graph DB, Vision Models, Restful API, Fast API

Experience: 10 to 15 Years Location: Pune, Bangalore Job Description AWS Python lead with GenAI five plus year Experience. Must have 4+ years of experience in API & microservices design and development. 3-4 yrs of experience in Python and NLP. Must have 1-2 yrs of experience in GenAI -with good hands-on experience in Prompt Engineering, Cloud Vector DB AWS Bedrock, developing and deploying Generative AI applications in production. Must have experience in atleast one end to end implementation of an Enterprise GenAI project. Must have 1-2 yrs of experience in API development and deployment (FastAPI, Docker containerization, AWS lambda service.) Must have 1-2 years of experience in designing overall Solution architecture for GenAI/AI projects.

GenAi - months to years experience Cloud (AWS. GCP , AZURE) AIML - minimum 2.5 years experience

We are seeking a highly skilled Senior Solution Architect with deep expertise in AI & GenAI along with on-premises data center technologies, the VMware Cloud Foundation (VCF) stack . The ideal candidate will design and deliver advanced infrastructure solutions tailored for AI and GenAI workloads for our enterprise clients. This role demands hands-on technical leadership combined with strategic design capabilities to drive transformational initiatives in infrastructure to solve AI and GEN AI requirements for the customers. Key Responsibilities: Architect, design, and implement on-premises infrastructure solutions supporting Private AI and GenAI initiatives . Lead technical discussions with stakeholders to gather requirements and define the architecture of AI/GenAI platforms . Develop end-to-end solutions leveraging VMware Cloud Foundation (VCF) technologies, including vSphere, vSAN, NSX, and vRealize Suite . Integrate Private AI solutions into existing enterprise environments, ensuring security, scalability, and performance optimization. Provide detailed infrastructure designs including compute, storage, networking, and security components tailored for AI/GenAI workloads. Collaborate with internal teams, clients, and vendors to ensure successful delivery of AI infrastructure projects. Develop best practices, reference architectures, and deployment guides for AI and GenAI solutions. Stay current with technology trends in Private AI, VMware, on-premises cloud, and data center innovations. Required Qualifications: 10+ years of experience in enterprise infrastructure architecture, preferably with a focus on on-premises solutions. Specialist-level knowledge of the VMware Cloud Foundation (VCF) stack (vSphere, vSAN, NSX, vRealize, etc.). Deep understanding of Private AI solutions (e.g., Nvidia AI Enterprise, OpenShift AI, or similar technologies). Proven experience designing infrastructure for AI and GenAI workloads , including considerations for GPU/accelerated compute. Solid grasp of data center design principles , including networking, storage, security, and high availability. Strong knowledge of modern infrastructure needs such as containerization (Kubernetes), hybrid cloud integrations, and software-defined infrastructure . Ability to translate business needs into technical solutions. Exceptional documentation, communication, and presentation skills. Preferred Qualifications: VMware certifications (e.g., VCAP and any other certification from VMware). Pre-sales experience in the infrastructure space, will be added advantage. Experience with AI/ML frameworks and tools (TensorFlow, PyTorch, Nvidia Triton, etc.). Familiarity with security and compliance requirements for Private AI environments. Hands-on experience with hardware acceleration (e.g., GPUs, DPU technologies). Experience working with multi-tenant environments and service provider models

10+yrs in software developmnt,3+ with GenAI or NLP Python (FastAPI, asyncio)strong with Hugging Face, OpenAI APIs, LangChain vector databases (e.g.Pinecone, Weaviate) & MLflow Strong judgment in using GenAI tools like ChatGPT and Copilot productively

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: We are currently seeking an experienced Manager, Data Science, to lead our growing Data Science team. The role involves overseeing the development and implementation of advanced data science techniques to improve media campaigns and enhance our AI-powered solutions. The manager will collaborate with cross-functional teams, providing leadership in analyzing and defining audience, campaign, and media trading data. Key Responsibilities: 1) Team Leadership & Management: Lead and mentor a team of data scientists, providing guidance in the design, development, and implementation of innovative data solutions. Foster a collaborative and high-performance team culture, ensuring the team is aligned with business goals and technical objectives. 2) Advanced Analytics & Data Science Expertise: Drive the application of statistical, econometric, and Big Data methods to define business requirements, design analytics solutions, and optimize economic outcomes. Utilize advanced modeling techniques, including propensity modeling, Marketing Mix Modeling (MMM), Multi-Touch Attribution (MTA), and Bayesian statistics to enhance campaign effectiveness. 3) Generative AI & NLP Leadership: Lead the implementation and development of Generative AI(GenAI), Large Language Models(LLM), and Natural Language Processing (NLP) techniques for data modeling and predictive analysis. Ensure the integration of AI-driven technologies to improve data science capabilities and results. 4) Data Architecture & Management: Architect and manage data systems, integrating data from diverse sources, ensuring the optimization of audience, pricing, and contextual data for ad-tech applications. Oversee the management and utilization of DSPs, SSPs, DMPs, and other critical systems in the ad-tech ecosystem. 5) Cross-Functional Collaboration: Work closely with teams from Product, System Development, Yield, Operations, Finance, Sales, and Business Development to ensure seamless data quality and predictive outcomes across campaigns. Design and deliver actionable insights and reporting tools for both internal and external business partners. 6) Predictive Modeling & Optimization: Lead the development of predictive models to optimize media campaigns, focusing on revenue, audience behavior, bid actions, and ad inventory optimization. Analyze campaign performance and provide data-driven recommendations for optimization across multiple media channels, including websites, mobile apps, and social media. 7) Data Collection & Quality Assurance: Oversee the collection, management, and quality assurance of data, ensuring high standards and efficient systems for in-depth analysis and reporting. Lead the development of tools and methodologies for complex data analysis, model development, and visualization to support business objectives. Qualifications & Skills: Masters or Ph.D. in Statistics, Engineering, Science, or Business, with a strong foundation in mathematics and statistics. 10 to 15 years of experience in data science, predictive analytics, and digital analytics, with at least 7 years of hands-on experience in modeling, analysis, and optimization within the media, advertising, or tech industry. At least 6 years of hands-on experience with Generative AI, Large Language Models, and Natural Language Processing techniques. Strong proficiency in data collection, machine learning, and deep learning techniques using tools such as Python, R, Pandas, scikit-learn, Hadoop, Spark, MySQL, SQL and AWS S3. Experience working with DSPs, SSPs, DMPs, and other programmatic systems in digital advertising. Expertise in statistical modeling, customer segmentation, persona building, and predictive analytics. Advanced understanding of programmatic media optimization, audience behavior, and pricing strategies. Strong problem-solving skills with the ability to adapt to evolving business needs and deliver solutions proactively. Experience in designing analytics dashboards, visualization tools, and reporting systems. Excellent communication and presentation skills, with the ability to explain complex technical concepts to non-technical stakeholders. Ability to manage multiple tasks and projects effectively, both independently and in collaboration with remote teams. An interest in working in a fast-paced, dynamic environment, focused on revenue and analytics in the digital media space. Relocation to Mysuru or Bengaluru required.

"We're Hiring For Generative Ai Engineer Role at Bangalore Location" Position: Generative Ai Engineer Experience: 7+ Years Location: Bangalore Responsibilities Develop and deploy scalable big data and AI solutions using Databricks and Azure. Implement RAG pipelines and integrate GenAI APIs for document and image retrieval. Perform finetuning of LLM models and manage prompt engineering workflows. Ensure the end-to-end solution is optimized for performance and scalability. Collaborate with software and ML teams for integration of AI capabilities. Deploy GenAI projects in production in Azure and Databricks. (Must) Required Qualifications Bachelors or Masters degree in Computer Science or related field. 7+ years of experience in big data and AI development. Strong experience with Databricks, Pyspark, and Python. Experience in deploying GenAI projects in production. Preferred Qualifications Familiarity with RAG architecture and document-based retrieval systems. Experience with Azure OpenAI, LangChain, Pinecone or similar tools. Experience with deploying LLM, VLM Models in Cloud Experience with MLOps tools such as MLFlow or similar tools. Technologies Used Python, Pyspark, Databricks, Azure ML, LangChain, OpenAI API, Pinecone, MLFlow More information: +91 73597 10155 | rushit@tekpillar.com

Mandatory Skills & Experience : - Proven experience (3+ years) in front-end development using ReactJS, Angular, or similar frameworks. - Strong knowledge of web development technologies, including HTML5, CSS3, JavaScript, SASS, and TypeScript. - Experience in designing and implementing responsive, cross-browser compatible UI/UX designs. - Familiarity with cloud-native principles and deploying front-end applications in containerized environments (i.e., Docker, Kubernetes). - Experience with version control systems like Git and project management tools like JIRA/Confluence. - Excellent communication skills with the ability to work effectively in a collaborative environment. Desired Skills & Experience Technologies : - Understanding of accessibility standards and best practices, ensuring designs are inclusive for all users. - Experience with API integration and working within microservices-based architectures. - Knowledge of Agile and Scrum methodologies, with experience in delivering projects in a fast-paced environment. - Knowledge and understanding of GenAI. - Certification in front-end development or UI/UX design is a plus. Technical & Engineering Leadership : - Develop and implement high-quality user interfaces using Figma, Adobe XD, Sketch, ReactJS, Angular, or similar frameworks, ensuring responsive and user-friendly designs. - Collaborate with cross-functional teams to define, design, and ship new features, ensuring the best possible user experience. - Convert complex designs into functional HTML5/CSS3/JavaScript code, ensuring cross-browser compatibility and performance optimization. - Integrate front-end components with RESTful APIs and other backend services, maintaining seamless functionality. - Contribute to the overall design system and UI/UX best practices within the organization. Service Delivery & Innovation : - Deliver high-quality UI/UX designs from concept to deployment, ensuring they are aligned with client expectations and project requirements. - Optimize web applications for maximum speed and scalability, ensuring they are performant across different devices and browsers. - Participate in the continuous improvement of development processes and design guidelines, focusing on enhancing the user experience. Innovation & Initiative : - Stay updated with the latest trends in UI/UX design and front-end development, bringing innovative ideas to the team. - Engage in technical innovation, exploring new tools and technologies to improve the design and development process. - Maintain hands-on technical expertise, ensuring that the team is adopting the best UI/UX practices and standards. Client Relationships : - Work closely with clients to understand their needs and deliver UI/UX solutions that meet their business goals. - Conduct client workshops and presentations to showcase design concepts and gather feedback, ensuring alignment throughout the development process. - Act as a trusted advisor to clients, providing insights and recommendations for improving their user interfaces and overall user experience.

10+yrs in software developmnt,3+ with GenAI or NLP Python (FastAPI, asyncio)strong with Hugging Face, OpenAI APIs, LangChain vector databases (e.g.Pinecone, Weaviate) & MLflow Strong judgment in using GenAI tools like ChatGPT and Copilot productively

DO NOT APPLY WITHOUT UNDERSTANDING THE ENTIRE JOB DESCRIPTION We are Hiring a Senior Data Scientist for a Leading Fortune 500 Manufacturing Brand Location: Mumbai Experience: Minimum 8 years in Data Science - AI/ML Education: M.E / M.Tech in Computer Science/ IT/ Data Science/ with persuasion of PhD Job Description: - Sr. Data Scientist will be required to build hypothesis, research, prototype, design, develop, and help implement enterprise level ML/ AI/Gen AI models for projects to transform and improve companys business results and competitive position & ensure alignment to the overall digital, data & AI strategy and current and future business objectives. Contribution to Data & AI Platform and Products Work within Digital Data AI Team in development of data science & AI capabilities and features to support delivery on defined objectives around platform aspects Design, implement, and evolve robust, secure and quality solutions that operate for the business ecosystem. Research, design & development of High-Quality Data, AI and analytical systems Define exploratory data analysis (EDA) keeping in line with problem necessities Ensure the development of quality procedures and standards products and supervising tests. Work on various data correction problems such as data cleansing, sourcing and integrating from multiple platforms to make the good data available for data analysis , data science & AI development Provide and help deliver the Solutions Hands on contribution to provide solutions and POCs , working in cross- functional or agile teams to develop and deliver significant aspects of the models and systems. Lead and mentor junior data scientists and ensure availability of necessary data and analysis as needed by business requirement and use cases. Conduct diagnostic across existing data and make future state recommendations in regular intervals. Collaborate with Business Analyst, Data scientists, Data Engineers and Data Analysts to ensure understanding and alignment between business needs and technical implementation. Monitor performance of existing solutions across use cases to identify and drive optimization. Oversee and Research, develop and analyse NLP, Gen AI , computer vision algorithms in Various use cases. Ensure model robustness, model generalization, accuracy, testability, and efficiency. Write product or system development code. Contributing via understanding of machine learning techniques and algorithms, including clustering, anomaly detection, optimization, neural network etc Responsible for deploying AI/ML models (ML Ops) in standalone and cloud based systems and services. Support Projects and Initiatives Help in Collaboration with business unit heads and corporate functions to identify and assist in providing data analysis support across different projects Identify data from legacy systems, to build new solutions based on requirement Provide necessary technical support in new and ongoing digital initiatives to ensure seamless data solutioning. Requisite Experience Essential Minimum 10 Yrs with of experience in data analytics & data science, building, and maintaining various ML models. Good know how of emerging small and larger models 3 to 5 + years of experience in each of the Data Science specialization like NLP, Demand Forecasting, ML Ops Should be able to present portfolio of data science work or use cases Preferred Sound understanding of Data analysis to support the preparatory work Experience working in the agile Environment. Know how/ Familiarity in all aspects of MLOps (source control, continuous integration, deployments, etc.) Experience/ Exposure with Cloud data services like AWS or Azure Special Skills Required Functional: Excellent understanding of machine learning techniques and algorithms, including clustering, anomaly detection, optimization, neural network etc. Strong hands-on coding skills in Python, processing large-scale data set and developing machine learning models. Experience programming in Python, R, and SQL Expertise in developing ML models and deployment of the same Hands on working on developing NLP models using transformers and computer vision. Know-how of deploying AI/ML models (ML Ops) in standalone and cloud-based systems and services. Comfortable working with DevOps: Jenkins, Bitbucket, CI/CD SQL Server experience required Understanding of, dimensional data modelling, structured query language (SQL) skills, data warehouse and reporting techniques Data Governance & Ethics Leadership: Strong analytical skills, ability to ask right questions, analyse data and draw conclusion by making appropriate assumptions, to solve and model complex business requirements Ability to lead team of junior data scientists, get into the details of the problem and ability to code the solution hands on as and when needed Planning & Organizing Present complex data analysis in consumable way and Engage the stakeholders Ability to collaborate with different teams and clearly communicate solutions to both technical and non-technical team members Team player

What you will do In this vital role you will be responsible for designing, developing, and maintaining software applications and solutions that meet business needs and ensuring the availability and performance of critical systems and applications. This role involves working closely with product managers, designers, and other engineers to create high-quality, scalable software solutions and automating operations, monitoring system health, and responding to incidents to minimize downtime. Roles & Responsibilities: Lead the design, configure and deployment of the validation systems (such as Veeva Validation Management, ALM, and KNEAT) ensuring scalability, maintainability, and performance optimization. Implement best practices, conduct code review and provide technical guidance, mentorship to junior developers. Take ownership of complex software projects from conception to deployment. Manage software delivery scope, risk, and timeline Collaborate closely with business collaborators to discuss requirements, ensuring alignment between technical capabilities and business objectives, while effectively communicating any technical limitations or constraints. Contribute to both front-end and back-end development using cloud technology. Create and maintain documentation on software architecture, design, deployment, disaster recovery, and operations. Ensure all documents are compliant with 21 CFR Part 11, Annex 11, and other relevant regulations. Identify and resolve technical challenges effectively. Stay updated with the latest trends and advancements. Work closely with product team, business team, and other collaborators. Work closely with multi-functional teams, including product management, design, and QA, to deliver high-quality software on time What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Masters degree with 4 - 6 years of experience in Computer Science, IT or related field experience OR Bachelors degree with 6 - 8 years of experience in Computer Science, IT or related field experience OR Diploma with 10 - 12 years of experience in Computer Science, IT or related field experience Strong technical background, including understanding software development processes, databases, and cloud-based systems. Experience configuring the SaaS systems such as Veeva or ALM. Proficiency in one or more programming languages such as Java, Python, or JavaScript and familiarity with API-driven content delivery. Experience working with databases (SQL/NoSQL), and GenAI. Preferred Qualifications: Understanding of Veeva Quality Vault/ALM/KNEAT. Curiosity of modern technology domain and learning agility Experience with the following technologies: Veeva Vault, MuleSoft, AWS (Amazon Web Services) Services (DynamoDB, EC2, S3, etc.), Application Programming Interface (API) integration and Structured Query Language (SQL) will be a big plus. Excellent communication skills, with the ability to convey complex technical concepts. Soft Skills: Excellent analytical and troubleshooting skills. Strong verbal and written communication skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation. Ability to manage multiple priorities successfully. Team-oriented, with a focus on achieving team goals Strong presentation and public speaking skills.

Key Responsibilities: Develop and maintain backend services and APIs using Java (Spring Boot preferred). Integrate LLMs and GenAI models (e.g., OpenAI, Hugging Face, LangChain) into applications. Collaborate with data scientists to build data pipelines and enable intelligent application features. Design scalable systems to support AI model inference and deployment. Work with cloud platforms (AWS, GCP, or Azure) for deploying AI-driven services. Write clean, maintainable, and well-tested code. Participate in code reviews and technical discussions. Required Skills: 35 years of experience in Java development (preferably with Spring Boot). Experience working with RESTful APIs, microservices, and cloud-based deployments. Exposure to LLMs, NLP, or GenAI tools (OpenAI, Cohere, Hugging Face, LangChain, etc.). Familiarity with Python for data science/ML integration is a plus. Good understanding of software engineering best practices (CI/CD, testing, etc.). Ability to work collaboratively in cross-functional teams.

In this vital role you will be a part of Amgens Operations Integrated Case Management Team, working closely with Business subject matter experts, Product Owners, Business Analysts, Developers, and Testers to ensure that Validation strategy and work are produced for IT Systems. This role will be pivotal in ensuring compliance, operational efficiency (run support), and innovation in the management of data validation processes. You will support continuous improvements and automation in product and the integrations. This position combines technical expertise, validation experience, and a solid understanding of compliance to support ongoing system audits. This role also involves working closely with developers and business analysts to ensure that the technical requirements for upcoming developments are thoroughly elaborated and validated. Roles & Responsibilities Collaborate with System Architects and Product owners to manage Validation, Strategy and Deliverables Develop and manage test cases, IQ, OQ, PQ protocols, and validation documentation. Identify, document, and track defects during the testing process. Collaborate with business, subject matter experts and development teams to resolve defects and validate fixes. Ensure all testing and validation activities align with GxP, FDA 21 CFR Part 11, and other regulatory standards. Partner with GxP Systems Quality, IT and business teams to ensure alignment on validation objectives and testing requirements. Lead, mentor, and develop a team of engineers, developers, and analysts working across different technical areas (RPA, AI, and business systems). Generate reports and dashboards to monitor testing progress, defect trends, and validation status. What we expect of you We are all different, yet we all use our unique contributions to serve patients. The professional we seek is a with these qualifications. Basic Qualifications: Doctorate degree OR Masters degree and 4 to 6 years of Computer Science, IT or related field experience OR Bachelors degree and 6 to 8 years of Computer Science, IT or related field experience OR Diploma and 10 to 12 years of Computer Science, IT or related field experience Preferred Qualifications: Functional Skills: Must-Haves Experience in DevOps, Continuous Integration, and Continuous Delivery methodologies. Excellent communication skills and the ability to interface with Product Managers and business stakeholders to define scope and value for new developments Experience with Document management system, Service now suite, HP ALM, JIRA, Salesforce, Java, J2EE, RPA, GenAI. Functional Skills: Good to Have Extensive experience in software development lifecycle. Experience using and adoption of Scaled Agile Framework (SAFe). Strong analytic/critical-thinking and decision-making abilities. Broad working knowledge of key IS domains and layers. ITIL (preferred) Soft Skills: Excellent leadership and team management skills. Exceptional collaboration and communication skills. High degree of initiative and self-motivation. Ability to manage multiple priorities successfully. Team-oriented with a focus on achieving team goals. Strong presentation, verbal and written communication skills. Excellent analytical and troubleshooting skills. Ability to work effectively with global, virtual teams.

Mandate Skills : Python + 2.5+ 3 Years of current experience in GEN(GENERATIVE) AI (ARTIFICIAL INTELLIGENCE) Location – Hyderabad Notice - Immediate to 30 Days Budget - 34-38 LPA "Kashif@d2nsolutions.com"

Responsibilities: To write high-quality user friendly content for the company websites To edit work submitted by other writers and members of staff To take responsibility for the companys style guidelines To manage and assign tasks and responsibilities to junior writers To provide regular updates for the sites news sections and blogs To provide feedback and training to other writers To optimise content for SEO To write marketing and auto-reply emails To periodically review onsite content and make updates and improvements where applicable by using our content management system.

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

Notice: immediate or Serving Notice About the Role: We're seeking a creative, thoughtful, and user-obsessed UI/UX Designer to help shape intuitive and elegant digital experiences across web and mobile platforms. You ll collaborate with cross-functional teams to bring user-centered designs to life from concept to execution making a real impact in how users engage with our products. Roles and Responsibilities: Lead the design process from wireframes to high-fidelity visuals across web and mobile platforms. Collaborate closely with product managers, engineers, and fellow designers to create seamless and engaging user journeys. Conduct user research, usability testing, and translate insights into actionable design improvements. Design with systems in mind create and maintain UI kits, design systems, and style guides. Ensure accessibility, responsiveness, and inclusivity in all design outputs. Partner with developers to ensure high-quality implementation, sharing specs and assets as needed. Explore emerging tools like GenAI to accelerate creative problem-solving and innovation. Stay ahead of design trends, tools, and best practices. Translate scientific models and data into intuitive, user-focused experiences. Define and maintain layout systems, typography, iconography, color schemes and interaction patterns. Focus on visual consistency, polish, and delight across screens and breakpoints. Ensure pixel-perfect implementation by collaborating closely with engineers. What We are Looking For: 3 to 5 years of professional experience in UI/UX design, preferably in SaaS, B2B, or eLearning. A strong portfolio that showcases your design thinking and user-centered approach. Proficiency in design tools such as Figma (Auto-layout, variables, components), Adobe XD, or similar. Understanding of responsive and mobile-first design principles. Familiarity with user research and usability testing methods. Excellent communication skills and a collaborative spirit. Bonus: Understanding of front-end development (HTML/CSS/JS), motion design, or experience with GenAI tools.