525 Generative Ai Jobs - Page 14

Hello, Urgent job openings for Data Science for Bengaluru location. Looking for candidates with experience in Gen AI, LLM, RAG frameworks Job Description given below please go through to understand requirement. if requirement is matching to your profile share your updated resume @ mail id (m.salim@globaldata.com). Mention Subject Line :- Applying for Data Science(Gen AI/LLM) @ GlobalData(Bengaluru) Share your details in the mail :- Your Full Name : Mobile # : Qualification : Company Name : Designation : Total Work Experience Years : Current CTC : Expected CTC : Notice Period : Current Location : Company Overview GlobalData is a leading Data & Analytics company, helping thousands of companies, government organizations, and industry professionals make faster, more informed decisions. Our mission is to help our clients decode the future, ensuring they stay ahead of the competition through innovative and actionable intelligence. We leverage unique data, expert analysis, and cutting-edge technology to provide a platform with unrivalled capabilities. Our solutions span multiple industries, with a strong focus on Artificial Intelligence, Generative AI, and Advanced Data Science applications to drive insights and decision-making. Know more about us: https://www.globaldata.com/ Follow us on LinkedIn: https://www.linkedin.com/company/gd-research-center-pvt-ltd Position Title: Senior Data Scientist Key Responsibilities :- Collaborate with cross-functional teams to deliver ML and AI-driven solutions, including traditional models, LLMs, Generative AI, and Computer Vision projects. Support model development, evaluation, and deployment in a production-grade environment. Engage actively in data exploration, feature engineering, and model refinement Participate in discussions with engineering (data and software) and product managers, ensuring technical feasibility and business alignment. Take ownership of assigned deliverables and demonstrate independent problem-solving and execution skills. Stay updated with the latest advancements in AI/ML and proactively apply learnings to ongoing work. Qualifications :- Bachelors or Masters degree in Computer Science, Data Science, Statistics, Engineering, or a related field. 4+ years of experience in applied data science (internships or projects count). Strong programming skills in Python and experience with libraries like scikit-learn, pandas, TensorFlow, and PyTorch. Familiarity with foundational concepts in ML, DL, NLP, Statistics, and LLMs. Excellent communication skills, especially in cross-team settings with engineering or product stakeholders. Demonstrated curiosity, initiative, and drive to solve diverse problems. Thanks & Regards, Salim (Human Resources)

JD: Generative AI & AIOps Consultant About the role: We are seeking a highly experienced and motivated Generative AI & AIOps Consultant to be part of Tech Mahindras fastest growing AI delivery unit. This role will be pivotal in driving the delivery for our customers on Generative AI and AIOps solutions, leveraging the power of Generative AI and Agentic AI to deliver desired benefits of cost, agility and productivity in IT operations, and providing expert guidance to our clients. The ideal candidate will possess a strong understanding and prior experience on solutioning and consulting on Generative AI use cases and applications in IT operations and in business operations. The role also requires a strong understanding of IT Service Management processes, IT Operations Management and AIOps principles, coupled with hands-on experience in developing and implementing Generative AI solutions. This role will initially focus on due diligence, use case mining, and strategic consulting, requiring excellent communication, analytical, and problem-solving skills. Responsibilities: Consulting & Advisory: • Act as a trusted advisor to clients on AIOps and Generative AI strategies. • Present findings, recommendations, and solutions to clients in a clear and concise manner. • Develop and deliver training programs on Generative AI and AIOps concepts and technologies. • Stay up-to-date on the latest trends and advancements in AIOps and Generative AI. Collaboration & Communication: • Work closely with cross-functional teams, including data scientists, engineers, and business stakeholders. • Communicate effectively with clients and internal teams to ensure alignment and transparency. • Document all work, including code, configurations, and reports. Due Diligence & Assessment • Conduct thorough assessments of client environments, including cloud infrastructure, applications, networks, data, and processes, to identify opportunities for AIOps and Generative AI use cases. • Analyze existing service and operations management processes, practices and SOP’s to identify pain points, inefficiencies, and areas for improvement. • Evaluate the maturity of client's data infrastructure and readiness for AI-driven solutions and create an AI-IS state of maturity. • Develop comprehensive reports outlining findings, recommendations, and potential ROI for AIOps and Generative AI initiatives and create a TO-BE state of maturity. • Collaborate with stakeholders across IT operations, development, and business teams to identify and document high-value AIOps and Generative AI use cases. • Prioritize use cases based on business impact, technical feasibility, and alignment with strategic objectives. • Develop detailed use case specifications, including data requirements, algorithms, and expected outcomes. Generative AI Solution Design & Development • Design and develop Generative AI and AIOps use cases, such as incident analysis, root cause analysis, log analysis, anomaly detection, and automated remediation. • Leverage pre-trained models and fine-tune them for specific client needs. • Develop custom Generative AI models using frameworks like TensorFlow, PyTorch, or similar. • Integrate Generative AI solutions with existing ITSM and ITOM platforms. AIOps Implementation & Optimization • Provide expert guidance on the implementation of AIOps platforms and tools. • Configure and customize AIOps solutions to meet specific client requirements. • Develop and implement automation workflows to streamline IT operations processes. • Monitor and optimize AIOps solutions to ensure optimal performance and accuracy. Qualifications Experience: Minimum of 10 years of experience spanning across traditional AI, Generative AI, IT operations and AIOps. Generative AI Expertise • Proven experience in developing and implementing Generative AI solutions using frameworks like TensorFlow, PyTorch, or similar especially in IT Operations and services. • Deep understanding of Generative AI models, including Large Language Models (LLMs), transformers, and other relevant architectures. • Experience in fine-tuning pre-trained models for specific use cases. • Experience with prompt engineering and techniques for controlling Generative AI outputs. AIOps Expertise • Strong understanding of AIOps principles, methodologies, and tools. • Experience with AIOps platforms such as Dynatrace, New Relic, Splunk, Moogsoft, or similar. • Experience in implementing AIOps solutions for incident management, problem management, change management, and other IT operations processes. ITSM & ITOM Proficiency • Deep understanding of ITSM frameworks such as ITIL. • Experience with ITSM platforms such as ServiceNow, BMC Remedy, or similar. • Strong knowledge of ITOM concepts, including monitoring, alerting, and automation. Technical Skills • Proficiency in Python and scripting languages • Experience with cloud platforms such as AWS, Azure, or GCP. • Strong understanding and experience working on containerized environments like Dockers or Kubernetes. • Experience in building AI applications and models including traditional AI models for anomaly detection, clustering or classification, timeseries, regression or logistics regression forecasting models

Qualifications: A Bachelor's degree in a relevant field such as Computer Science, Software Engineering, or Data Science is preferred. A Masters degree in Artificial Intelligence is a plus. 3-8 years of experience working with Python and a high level of proficiency in the language. Outstanding analytical and problem-solving abilities. Extensive experience with Generative AI, with a solid understanding of end-to-end pipelines involving Large Language Models (LLMs) such as OpenAI, Llama, Claude, etc. Proven expertise in Prompt Engineering. Strong knowledge of NLP techniques, including text summarization, question answering, and more. Proficient in software design patterns, with experience in writing modular, reusable, and maintainable code. Hands-on experience with at least one major cloud platform (AWS, GCP, or Azure). Relevant experience with Docker and Kubernetes is highly desirable. Strong ability to rapidly prototype ideas and tackle complex problems with innovative solutions. Experience working within an Agile development environment. Excellent communication and presentation skills.

Job Description Greetings from Fujitsu Research Lab (https://www.fujitsu.com/global/about/research/) About us: At Fujitsu AI Lab, we are at the forefront of research, innovation, and product development in areas such as AI (artificial intelligence), Machine Learning (ML), and Data Science. Our technologies are integrated into Fujitsus products and customer systems across sectors like finance, telecommunications, manufacturing, healthcare, and social infrastructure. We are committed to shaping the future with cutting-edge AI research, driving advancements in fields such as Generative AI, Cognitive AI, Graph ML, ML models for complex temporal and multimodal data. Role Purpose: As an AI Researcher, you will lead groundbreaking research aligned with Fujitsu's AI strategy. Your work will directly influence product innovations and the development of novel AI technologies. Additionally, you will drive scientific exploration, publish in top-tier conferences and journals, and secure patents for innovative work. Roles and Responsibilities- Followings are Researchers duties: Technical Skills required- Advanced AI/ML Expertise : Deep understanding of fundamentals of theoretical machine learning, statistical theory of learning, AI related topics and concepts, and their practical implementation in various domains. Up to date with the latest in AI algorithms & neural architectures ( e.g. , attention, transformers, state-space models, etc.), and their application in discriminative and generative models, explainable AI, causal reasoning, knowledge representation, concept discovery & extraction, continual learning, etc. Prior experience in applying them to one or more of the following areas or related topics: natural language (LLMs), human cognition, computer vision, point cloud, graphs, multi-modal data analytics, time-series, sequence modelling, complex task completion, dynamic optimization etc . Proficient in AI/ML Programming : Advanced skills in coding, working with AI/ML libraries, and familiar with major AI platforms and tools. Strong publication track in top-tier conferences such as ICML, ICLR, NeurIPS, AAAI, IJCAI, AISTATS, SIGKDD, ACL, NAACL etc. For computer vision domain, publications in top CV conferences like CVPR, ICCV, ECCV is expected. Desirable: Well-informed with latest conceptual advancements in the deployable AI framework (such as AI agents, autonomous systems etc .). Core Research Leadership Identify and Frame Research Problems : Brainstorm with other researchers to scope new research projects in specified areas. Identifies critical research challenges and develop innovative solutions by differentiating your approaches from the current state of the art. Develop Advanced Technologies : Design new algorithms, neural architectures, and computing methodologies. Implement and validate through theoretical and experimental research. Conduct Rigorous Data Analysis : Collect and analyze data to draw inferences, support proposed solutions, and demonstrate their practical applications. Collaboration & Knowledge Sharing Share key findings with internal leadership, including Project Leaders, Research Managers, and Project Directors. Research Publication & IP : Draft and submit patents. Author research papers for submission to prestigious AI/ML/CV/NLP conferences and journals. Academic Partnerships : Engage with academic institutions and collaborators, expanding Fujitsus network and promoting cutting-edge AI research. Industry Impact and Application Engage with Applied Research Teams : Collaborate closely with applied researchers to transform core scientific discoveries into practical solutions. Abstract complex research problems from real-world challenges. Support Technology Transition : Facilitate the transfer of research outcomes to business units, demonstrating their value to external clients and driving real-world impact. Additional Expectations Scientific Leadership : Strong vision for research and the ability to lead scientific projects towards impactful breakthroughs. Communication : Exceptional communication, report writing, and presentation skills, with the ability to translate complex research into understandable and actionable insights. Adaptability and Growth Mindset : Willingness to learn new fields, explore uncharted territories in AI, and develop cross-disciplinary skill sets. Education & Research Experience : Ph.D. in AI, Machine Learning, Computer Science, or a related field with a research experience of 3-10 years (post PhD). Person with more experience will be considered for appropriate positions.

About the Role: We are looking for an experienced Engineering Manager (Generative AI) to lead client-facing AI/ML initiatives in a dynamic services environment. In this role, you will be the bridge between clients, data science teams, and engineering groups, ensuring the successful delivery of cutting-edge Generative AI solutions aligned to business goals. You will manage multiple concurrent projects involving emerging technologies like large language models (LLMs), diffusion models, and prompt engineeringwhile handling client communications, technical planning, and delivery governance. Key Responsibilities: Own and drive end-to-end Generative AI project delivery for clientsfrom pre-sales support and requirements gathering to deployment and post-launch support. Coordinate with cross-functional teams (data scientists, MLOps engineers, software developers, UI/UX designers) to translate client needs into scalable AI solutions. Manage project scope, timelines, budgets, and resource allocation across multiple client engagements. Conduct client workshops, create solution roadmaps, and define MVPs with measurable KPIs. Track progress using Agile methodologies and ensure timely delivery within SLA and quality standards. Guide internal teams on technology choices and delivery best practices in the Generative AI ecosystem (e.g., OpenAI, Hugging Face, LangChain, Pinecone, etc.). Support proposal development, solution architecture reviews, and pricing during pre-sales activities. Maintain clear, consistent communication with clients and internal leadership; manage escalations, risks, and delivery blockers proactively. Stay current with advancements in Generative AI and bring innovation to client engagements. Required Qualifications: 13+ years of experience in software development, GenAI, machine learning with at least 5 years in technical project management roles. Solid understanding of AI/ML workflows and hands-on familiarity with Generative AI concepts (LLMs, embeddings, vector search, prompt engineering, etc.). Conversant with Python and SQL. Practical experience in designing business solutions in these areas, and explaining those to the customers as part of pre-sales and/or delivery stage. Excellent analysis, and problem-solving skills. Deep thinking ability. Proven knowledge of data structure and algorithms. Proven track record of strong leadership and decision-making skills to drive consensus on requirements and ensure timely delivery of critical customer-facing AI features. Strong track record of developing, leading, coaching, and mentoring machine learning engineers and scientists is vital. Proficiency in Agile project management frameworks and tools (e.g., Jira, Confluence, Azure DevOps). Strong communication and stakeholder management skillsespecially in client-facing roles. Cultivate a positive and growth-oriented environment. Bachelors degree in a related field, such as computer science, software engineering or data science, is recommended; Master’s or MBA is a plus. Preferred Skills: Experience working with cloud-native AI stacks (AWS SageMaker, Azure ML, Google Vertex AI, etc.). Exposure to ML Ops and AI model lifecycle management. Technical certifications in AI/ML, cloud, or project management (e.g., PMP, PMI-ACP, CSM). Experience in consulting or delivering multi-region/global enterprise AI projects. What’s in it for You: Work with a fast-growing team on cutting-edge AI solutions across global clients. Opportunity to shape and scale next-gen AI delivery practices. Competitive compensation and flexible work arrangements. Access to continuous learning, certifications, and professional growth in the AI domain.

business analyst in investment banking, commercial banking or asset/investment management. financial instruments, capital markets & banking products.AI/ML concepts, cross-functional teams, Excel, SQL, Power BI, Tableau, stakeholder management.

AI/ML, AWS-based solutions. Amazon SageMaker, Python and ML libraries, data engineering on AWS, AI/ML algorithms &model deployment strategies.CI/CD, Cloud Formation, Terraform). AWS Certified Machine Learning. generative AI, real-time inference &edge

Hello All, We Are hiring for Data Scientist Position Skills Python+AI+RAG+LLM Traditional DS+ NLP+DL+AI MLOPS+ Any cloud Below detail JD FYR, Location - PAN INDIA Experience with Data Science, AI/ML and Generative AI technologies - Extensive hands-on experience in implementing end to end projects utilizing GenerativeAI using Microsoft Azure AI , OpenAI - Extensive hands-on experience in building GenerativeAI application using methodologies such as RAG - Experience in automating various aspects of the overall RAG pipeline for GenerativeAI based application - Experience in designing solutions utilizing GenerativeAI , AI and ML components. - Hands-on experience in working with Azure OpenAI services or other managed large language models - Experience with AI/ML, search and data services within Azure ecosystem such as Azure OpenAI, AI Search, CosmosDB, Functions, etc. - Experience with evaluation, validation and refinement of results from GenerativeAI RAG based applications - Experience with setting up monitoring, observability and guardrails for GenerativeAI solutions - Extensive experience in Python programming languages along with popular frameworks such as Flask, FastAPI, etc. - Experience with AIML, deep learning, TensorFlow, Python, NLP - Excellent understanding of machine learning techniques and algorithms, such as GPTs, CNN, RNN, k-NN, Naive Bayes, SVM, Decision Forests, etc. - Experience with deploying applications to Microsoft Azure or other cloud platforms. Intrested candidates please share your CV on kalyani.kadhare@alikethoughts.com Thanks & Regards, Kalyani | Talent Acquisition

We seek a hands-on Technical Architect (AI) to design and implement AI-driven architectures for our insurance ecosystem. You will lead by example, combining deep coding expertise in Python, .NET Core, Angular, and Azure with architectural vision to modernize systems, reduce costs, and integrate AI/ML solutions. This role demands active contribution to code, PoCs, and system design while guiding teams and clients. Key Objectives and Major Responsibilities: Hands-On Development: Design, code, and optimize AI models (e.g., predictive underwriting, claims automation) using Python, Azure AI Services, and LLMs . Build .NET Core Web APIs , Angular/React UIs , and Azure-native applications (Functions, Logic Apps, Azure SQL). Develop AI accelerators (e.g., Agentic AI workflows, RAG pipelines) and PoCs for insurance use cases. Architecture & Delivery: Help in designing, imagining, and building the roadmap for the Organisation in AI in SDLC and emerging technologies in this space. Lead end-to-end implementation of AI use cases using cloud native (Azure) technologies Architect event-driven systems using Kafka, Azure Event Grid, or similar tools. Enforce code quality via SonarQube, security via Guiderails, and CI/CD best practices. Client & Team Collaboration: Work with Chief architect and other architecture team members for this initiative Partner with stakeholders to translate insurance workflows (e.g., policy administration) into technical solutions. Conduct hands-on code reviews , troubleshoot performance bottlenecks, and mentor teams in Python, .NET Core, and Angular . Present technical solutions in customer ARBs, including AI/ML ROI demonstrations . Key Capabilities and Competencies Technical Expertise (Hands-On Required) Languages & Frameworks: Python : Proficient in building agents, integrate with LLM models, and integrating them into .NET systems. .NET Core : Expertise in developing scalable Web APIs, Entity Framework, and cloud-native applications. Angular/React : Strong frontend development skills (Angular 13+, TypeScript). Cloud & AI: Azure : Hands-on with Cognitive Services, AI Foundry, Logic Apps, Power Automate AI Builder , and Azure SQL. DevOps : CI/CD pipelines (Azure DevOps), Infrastructure-as-Code (ARM/Bicep). AI/ML : GitHub Copilot, Foundational models, integrations of such models, LLM fine-tuning, prompt engineering, and MLOps for insurance workflows. Insurance Domain: Applied knowledge of underwriting, claims processing, and regulatory compliance. Soft Skills Ability to code, architect, and communicate solutions effectively to technical and non-technical stakeholders. Leadership in Agile/Scrum environments with a focus on delivering working software . Qualifications & Experience 1215 years of experience, including 5+ years as a hands-on architect in AI/ML and cloud-native development. Proven track record of coding in Python, .NET Core, and Azure services (shareable GitHub/GitLab links preferred). Insurance domain experience (e.g., policy administration systems, claims automation). Certifications: Azure Solutions Architect Expert , AWS/GCP Cloud Architect (preferred). Bachelors/master’s in computer science, Engineering, or related field.

Develop and maintain Python-based applications with a focus on AI, NLP, and LLM integration . Experience in coding with Generative AI and PYTHON. Strong proficiency in Python and experience with AI frameworks (e.g., TensorFlow, PyTorch). Hands-on experience with NLP tools and libraries (e.g., SpaCy, NLTK, Hugging Face Transformers). Familiarity with building, fine-tuning, and deploying LLMs . Experience in developing conversational agents or chatbots. Knowledge of REST APIs and system integration. Understanding of cloud platforms like AWS, Azure, or GCP for deploying AI solutions .

Sr. Software Engineer with advanced Python for product development and of ML & Generative AI. Hands on with FastAPI server in production environment. AI Engineers to design and develop high-quality Generative AI platform on AWS.

In this role, you will: Participate in low to moderately complex initiatives and projects associated with the technology domain, including installation, upgrades, and deployment efforts Identify opportunities for service quality and availability improvements within the technology domain environment Design, code, test, debug, and document for low to moderately complex projects and programs associated with technology domain, including upgrades and deployments Review and analyze technical assignments or challenges that are related to low to medium risk deliverables and that require research, evaluation, and selection of alternative technology domains Present recommendations for resolving issues or may escalate issues as needed to meet established service level agreements Exercise some independent judgment while also developing understanding of given technology domain in reference to security and compliance requirements Provide information to technology colleagues, internal partners, and stakeholders Required Qualifications: 2+ years of software engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: Work as a Generative AI engineer developing enterprise-scale AI applications Design, implement, and optimize LLM-based solutions using state-of-the-art frameworks Lead Gen AI initiatives focused on developing intelligent agents and conversational systems Design and build robust LLM interfaces and orchestration pipelines Develop evaluation frameworks to measure and improve model performance Implement prompt engineering techniques to optimize model outputs Integrate Gen AI capabilities with existing enterprise applications Build and maintain frontend interfaces for AI applications Strong proficiency in Python/Java and LLM orchestration frameworks (LangChain, LangGraph) Basic Knowledge of model context protocols, RAG architectures, and embedding techniques Experience with model evaluation frameworks and metrics for LLM performance Proficiency in frontend development with React.js for AI applications Experience with UI/UX design patterns specific to AI interfaces Experience with vector databases and efficient retrieval methods Knowledge of prompt engineering techniques and best practices Experience with containerization and microservices architecture Strong understanding of semantic search and document retrieval systems Working knowledge of both structured and unstructured data processing Experience with version control using GitHub and CI/CD pipelines Experience working with globally distributed teams in Agile scrums Job Expectations: Understanding of enterprise use cases for Generative AI Knowledge of responsible AI practices and ethical considerations Ability to optimize AI solutions for performance and cost Well versed in MLOps concepts for LLM applications Staying current with rapidly evolving Gen AI technologies and best practices Experience implementing security best practices for AI applications

Overview This role shall strategize, ideate, conceptualize, scope and demonstrate the value of innovative digital solutions. Digitization shall be used for both service re-imagination and building operational efficiency. You will see how the current set of services is being delivered and reimagine them by technology and process re-engineering. You will also look at manual processes and advise solutions for automation. The role will require knowledge of solutions and tools available in the market and capability to think how technology could be leveraged in the organization business context. The occupant will take a problem area and run through solution identification process: define problem, identify solution options, develop business case and do solution pilot and scope implementation. The job will require collaboration with various functions, understanding the objectives and selecting digital solutions to accomplish scale, impact, speed and with quality. This role will provide you with an opportunity to showcase your solution building prowess along with opportunity to work across enterprise technology and processes. Roles and Responsibilities Reimagine service delivery a. Identify inefficient processes and process steps b. Quantify value proposition and ideal way of delivery c. Contrast current ways to ideal way and identify improvements d. Do pilot of reimagined value delivery method Digitize operation: a. Work with delivery and support team to identify digitization opportunities b. Analyse processes and identify opportunities to digitize c. Develop business cases and get management sponsorship d. Scoping projects e. Prove desirability through pilots. Prerequisites Strong background of enterprise technology solutions and tools Well versed with new age developments including machine learning, AI including Generative AI Good blend of technology and business skills Ability to collaborate with others Proven ability to work in an unstructured environment. Experience Candidates should have at least 7+ in technology related business analysis and solution evaluation role. Excellent leadership, communication, and collaboration skills with a proven ability to align AI initiatives with business goals and deliver measurable outcomes Strategic thinking, problem-solving, and a strong team player. Education A masters or a bachelors degree from Tier 1 institute. Compensation The compensation structure will be as per industry standards.

Roles and Responsibilities Design, Develop, and Deploy: Create and implement advanced machine learning models and algorithms to tackle complex business challenges across various domains, including Recommender Systems, Search, Computer Vision, Supply Chain Management (SCM), Pricing, Forecasting, Trend and Virality Prediction, Generative AI, and more. Technical Expertise: Demonstrate deep theoretical knowledge and practical expertise in one or more areas, such as Natural Language Processing (NLP), Computer Vision, Recommender Systems, Gen AI and Optimization. Software Development: Develop robust, scalable, and maintainable software solutions for seamless model deployment. CI/CD Pipelines: Set up and manage Continuous Integration/Continuous Deployment (CI/CD) pipelines for automated testing, deployment, and model integration. Model Maintenance: Maintain and optimize machine learning pipelines, including data cleaning, feature extraction, and model training. Collaboration: Work closely with the Platforms and Engineering teams to ensure smooth deployment and integration of ML models into production systems. Data Management: Partner with the Data Platforms team to gather, process, and analyze data crucial for model development. Code Quality: Write clean, efficient, and maintainable code following best practices. Performance Optimization: Conduct performance testing, troubleshooting, and tuning to ensure optimal model performance. Continuous Learning: Stay up-to-date with the latest advancements in machine learning and technology, sharing insights and knowledge across the organization. Qualifications & Experience Industry Experience: 3-5+ years with a Bachelor's degree, or 2+ years with a Masters/Ph.D. in Computer Science, Mathematics, Statistics, or a related field. Machine Learning Expertise: At least 2 years of hands-on experience as a Machine Learning Engineer or a similar role. Production Deployment: Proven experience deploying machine learning solutions into production environments. Programming Skills: Strong proficiency in Python or equivalent programming languages for model development. ML Frameworks: Familiarity with leading machine learning frameworks (Keras, TensorFlow, PyTorch) and libraries (scikit-learn). CI/CD Tools: Experience with CI/CD tools and practices. Communication: Excellent verbal and written communication skills. Teamwork & Independence: Ability to work collaboratively in a team environment or independently as needed. Workload Management: Strong organizational skills to manage and prioritize tasks, supporting your manager effectively. Exceptional candidates are encouraged to apply, even if you don't meet every listed qualification. We're open to hiring individuals who demonstrate outstanding potential. Nice to Have Research Contributions: Publications or presentations in recognized Machine Learning and Data Science journals/conferences. Big Data Technologies: Experience with big data technologies like Spark or other distributed computing frameworks. Cloud Services: Proficiency in cloud platforms (AWS, Google Cloud) and an understanding of distributed systems. Generative AI Exposure: Familiarity with Generative AI models. Database Management: Experience with SQL and/or NoSQL databases. ML Orchestration: Knowledge of ML orchestration tools (Airflow, Kubeflow, MLFlow).

Position Summary: We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions. If you think the open position you see is right for you, we encourage you to apply! Our people make all the difference in our success. We leverage cutting edge Artificial Intelligence (AI) and Machine Learning (ML) algorithms to develop solutions for automated document processing and customer service chat bots. We are looking for AI Prompt Engineers with strong engineering, full stack expertise to build the best fit solutions leveraging Large Language Models (LLMs) and Generative AI solutions. Extreme focus on speed to market and getting Products and Services in the hands of customer and passion to transform healthcare is key to the success of this role. Build scalable software solutions using LLMs and other ML models to solve challenges in healthcare. Build enterprise grade AI solutions with focus on privacy, security, fairness. Work with Product Development as a Generative Artificial Intelligence (AI) subject matter expert and architect and develop scalable, resilient, ethical AI solutions Strong engineering skills to design the output from the AI with nodes and nested nodes in JSON or array, HTML formats as required This is critical so that the AI output can be consumed as is and displayed on the dashboard for accelerated development cycles. Build extensible API Integrations, low code UI UX solutions, with extremely short cycle times, to extract information from sources, integrate with GPT4, receive insights and make them available in intuitive, high performing dashboards Build solutions that align with responsible AI practices. Envision the solution outcomes to solve for the business problem with actionable insights and design viable solutions to meet the outcomes. Understand how AI is interpreting the data set and use that understanding to build prompts that lead to expected outcomes Architect and develop software or infrastructure for scalable, distributed systems and with machine learning technologies. Work with frameworks(Tensorflow, PyTorch) and open source platforms like Hugging Face to deliver the best solutions Optimize existing generative AI models for improved performance, scalability, and efficiency. Develop and maintain AI pipelines, including data preprocessing, feature extraction, model training, and evaluation. Develop clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders. Contribute to the establishment of best practices and standards for generative AI development within the organization. Experience Required: Overall 3+ years of experience 3 years of Full stack engineering expertise with languages like C#, Python and Proficiency in designing architecture, building API Integrations, configuring and deploying cloud services, setting up authentication, monitoring and logging Experience in implementing enterprise systems in production setting for AI, computer vision, natural language processing. Exposure to self-supervised learning, transfer learning, and reinforcement learning is a plus. Experience with information storage/retrieval using vector databases like pinecone. Strong understanding and exposure in natural language generation or Gen AI like transformers, LLMs, text embeddings. Experience with designing scalable software systems for classification, text extraction/summary, data connectors for different formats (pdf, csv, doc, etc) Experience with machine learning libraries and frameworks such as PyTorch or TensorFlow, Hugging Face, Lang chain, Llama Index. 3 years of experience working in a complex, matrixed organization involving cross-functional or cross-business projects. Programming experience in C C++, Java, Python. Strong knowledge of data structures, algorithms, and software engineering principles. Excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions. Strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience. Possess a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment. Experience Desired: Familiarity with cloud-based platforms and services, such as AWS, GCP, or Azure. Hands on experience on tools products like Dynatrace, Splunk, Service Now preferred. Experience in identifying KPI on solution build using Generative AI, for Ex RAG based Q&A, data summarization, text content generation, data extraction, etc. will be a big advantage. Understanding of standards and regulation related to use of GenAI for a US based Health Insurance provider preferred. Healthcare experience (preferred but not mandate) Education and Training Required: Degree in Computer Science, Artificial Intelligence, or a related field.

Overview: We are seeking an exceptional and technically accomplished Senior Data Scientist to join our rapidly growing team. This role is ideal for a hands-on AI expert with deep experience in Large Language Models (LLMs) , Natural Language Processing (NLP) , Cognitive AI , Conversational AI , and Agentic AI systems . You will work on designing, developing, and scaling state-of-the-art AI solutions that drive business innovation, operational intelligence, and customer experience transformation. This is a high-impact individual contributor role, focused on technical excellence and product-grade AI development. Key Responsibilities LLM & Cognitive AI Solution Development Architect and fine-tune LLM-based solutions (e.g., GPT, LLaMA, Claude, Mistral) using transfer learning, PEFT, and retrieval-augmented generation (RAG). Develop Agentic AI architectures with autonomous behavior and multi-agent collaboration capabilities. Apply prompt engineering , in-context learning , and tool former-style techniques to enable complex reasoning and task execution. Build Conversational AI systems using Transformer-based backbones and orchestration tools (LangChain, Haystack, Rasa, Semantic Kernel). Natural Language Processing (NLP) Design and implement advanced NLP pipelines for semantic search, summarization, NER, text classification, and knowledge extraction. Utilize and integrate tools such as SpaCy , BERT , RoBERTa , GloVe , Word2Vec , NLTK , and TextBlob . Conduct advanced text preprocessing, dependency parsing, sentiment analysis, tokenization, and multilingual NLP modeling. AI/ML Engineering Build scalable ML pipelines with FastAPI, gRPC, and RESTful interfaces. Containerize services using Docker and deploy to production environments via Kubernetes and cloud-native workflows. Integrate models into real-time and batch data systems, optimizing for latency, throughput, and reliability. Cloud & Infrastructure Develop and deploy solutions on AWS , Azure , or Google Cloud Platform (GCP) . Leverage services like SageMaker, Vertex AI, Azure ML Studio, and serverless orchestration tools. MLOps & CI/CD Design and maintain end-to-end MLOps pipelines using tools like MLflow, Kubeflow, or TFX for reproducibility and traceability. Automate model testing, monitoring, versioning, and rollback strategies in production. Big Data & Analytics Apply Spark, Hadoop, and Hive to process large-scale datasets efficiently. Perform complex data transformations and statistical modeling to extract actionable insights. Database & Data Engineering Interface with SQL and NoSQL systems (PostgreSQL, MongoDB, DynamoDB, etc.) for efficient data retrieval and processing. Design data schemas and optimize query performance for AI-centric applications. Cross-functional Collaboration Work closely with product managers, engineers, and domain experts to identify high-impact problems and deliver AI-driven solutions. Communicate findings and solution architectures clearly to technical and non-technical stakeholders. Technical Skills Expert in Python , PyTorch, HuggingFace Transformers, LangChain, and OpenAI/Anthropic/LLama APIs. Deep understanding of Transformer architectures , Attention Mechanisms , and LLM fine-tuning techniques . Familiarity with Agentic AI paradigms , including memory management, autonomous goal completion, and tool use. Strong experience with cloud platforms, container orchestration (Docker + Kubernetes), and deployment automation. Proficient in statistical modeling, probabilistic reasoning, and experimental design. Bonus Experience in Online Reputation Management (ORM) or product-centric platforms . Publications or open-source contributions in AI/ML/NLP.

Role Overview: We' re looking for a Lead Data Scientist to join our fast-growing, mission-driven team. This is a high-impact leadership role at the intersection of technology, strategy, and innovation where your expertise will power intelligent solutions that redefine how we think about data, products, and customer experience. If you thrive in high-performance environments and want to lead cutting-edge projects with Generative AI, LLMs, and large-scale NLP systems, this is your opportunity to make a lasting impact. Key Responsibilities: Build the Future with AI/ML Architect scalable AI systems to solve real-world, high-value business challenges cross domains. Design and deploy cutting-edge solutions with Generative AI, Transformer architectures, and custom Large Language Models (LLMs). Apply state-of-the-art ML techniques prompt engineering, transfer learning, multi-modal learning to push the boundaries of what's possible. NLP at Scale Lead the development of advanced NLP systems: semantic search, question answering, summarization, classification, and conversational AI. Work with best-in-class models and libraries: BERT, GPT, RoBERTa, Word2Vec, SpaCy, NLTK, Hugging Face Transformers, and more. Leverage language understanding to transform unstructured data into strategic insights. Full-Lifecycle Model Deployment Build robust MLOps pipelines for training, testing, deployment, and monitoring using MLflow, Kubeflow, Airflow, and CI/CD tools. Containerize and orchestrate AI models using Docker and Kubernetes across cloud environments (AWS, GCP, Azure). Design APIs and inference services using FastAPI or gRPC, optimized for performance, scalability, and uptime. Lead, Inspire, and Elevate Build and mentor a world-class data science team, nurturing talent and fostering a culture of curiosity, experimentation, and technical excellence. Drive the data science strategy, influence key decisions, and align AI initiatives with business goals. Establish best-in-class practices for model development, code quality, documentation, and performance evaluation. Data at the Core Work hands-on with structured, semi-structured, and unstructured data. Optimize high-volume data pipelines, integrate with SQL and NoSQL databases, and leverage big data ecosystems like Spark, Hive, and Hadoop. Use statistical modeling and experimental design to derive actionable intelligence from data Collaborate Across the Enterprise Work closely with engineering, product, and executive teams to define problems, explore solutions, and deliver AI products that move the needle. Translate technical concepts into strategic recommendations and insights that influence roadmaps and revenue. Champion AI literacy and advocate for ethical, explainable, and scalable data science across the organization. Education Bachelors or Master’s in Computer Science, AI, Data Science, Machine Learning, Engineering, or a related technical discipline. PhD is a plus. Experience 6+ years of experience in data science or machine learning, with 2+ years in a leadership or managerial role. Proven record of building and deploying AI solutions at scale in real-world production environments. Experience in GenAI, NLP, cloud-native architectures, and full-cycle ML development. Technical Expertise Languages & Libraries: Python, Scikit-learn, PyTorch, TensorFlow, Hugging Face, NumPy, Pandas NLP: BERT, GPT, Word2Vec, SpaCy, NLTK, TextBlob, CoreNLP, Transformer-based architectures Cloud & Deployment: AWS, Azure, GCP, Docker, Kubernetes, FastAPI, gRPC Big Data: Spark, Hive, Hadoop, Kafka Data Systems: PostgreSQL, MongoDB, Cassandra, Snowflake, BigQuery MLOps & Monitoring: MLflow, Airflow, Kubeflow, Prometheus, Grafana Nice to Have Experience in online reputation management, customer analytics, or product-led organizations. Familiarity with responsible AI, fairness, and explainability techniques (SHAP, LIME).

Role Summary: We are seeking an AI Engineer with a strong background in Generative AI, Natural Language Processing (NLP), Large Language Models (LLMs), and agentic AI to join our growing team. You will focus on building robust, scalable AI solutions that harness Azure AI capabilities, with a strong emphasis on MLOps and LLM frameworks. You should have a passion for crafting high-quality, production-ready AI systems and a proven track record of delivering impactful solutions. Key Responsibilities: * Design & Develop: Architect and implement Generative AI applications using Azure OpenAI Services, Azure Machine Learning, and other Azure AI tools. Develop and fine-tune LLMs for domain-specific tasks using popular frameworks such as LangChain, LlamaIndex, Hugging Face Transformers, or similar. Build agentic AI systems capable of autonomous reasoning and task execution. * NLP and Advanced Language Models: Work with Natural Language Processing pipelines, including text classification, summarization, entity extraction, and question answering. * MLOps & Azure Integration: Familiarity with CI/CD pipelines, model versioning, deployment, and monitoring for AI models using Azure Machine Learning MLOps capabilities. Collaborate with DevOps team to ensure seamless integration of models into production systems. * Innovation & Scalability: Stay at the forefront of AI advancements, particularly in LLMs and Generative AI, to continuously enhance our AI solutions. Drive the adoption of best practices for scalable and secure AI system development on Azure. * Mentorship & Collaboration: Provide technical mentorship to junior engineers and contribute to knowledge-sharing within the team. Collaborate closely with cross-functional teams (Product, Engineering) to translate business requirements into technical solutions. Qualifications & Skills: * Experience: Minimum 4 years of experience in AI engineering, with a strong focus on Generative AI, LLMs, and NLP. Proven experience building and deploying AI models using Azure AI capabilities, including Azure OpenAI, Azure ML, and Azure Cognitive Services. Solid experience with LLM frameworks such as LangChain, LlamaIndex, Hugging Face, etc. Hands-on experience with MLOps pipelines and CI/CD practices. * Technical Skills: Proficiency in Python (including libraries like PyTorch, TensorFlow, and popular LLM frameworks). Strong understanding of LLM fine-tuning, prompt engineering, embedding models, and vector databases (e.g., Azure AI Search, Pinecone, Weaviate). Familiarity with containerization (Docker, Kubernetes) and cloud infrastructure, with a preference for Azure. * Soft Skills: Excellent problem-solving skills, with a focus on delivering production-ready solutions. Strong communication and collaboration abilities, with a knack for explaining complex AI concepts to non-technical stakeholders.

Oracle Cloud Infrastructure (OCI) is at the forefront of cloud innovation, blending the agility of a startup with the reliability of a leading enterprise software provider. Our AI Science team pioneers state-of-the-art machine learning solutions that empower customers and solve complex real-world problems at scale. We're looking for an experienced Sr. Applied Scientist (IC3) with deep hand-on experience in Generative AI and Computer Vision area to develop highly complex and accurate data science model. In this role, you will develop of secure, scalable, and innovative AI solutions leveraging cutting-edge techniques in computer vision, Large multimodal models and other GenAI technologies. As a Senior Applied Scientist, you will develop and deploy state-of-the-art computer vision solutions leveraging generative AI technologies such as Large multimodal models and computer vision technologies such as image classification, object detection, vision grounding etc. This individual contributor(IC) role will build best-in-class computer vision solutions at scale Perfect for a hands-on data science architecture design and is eager to drive innovation and excellence in AI and computer vision area. You will partner with the Product and Engineering managers to influence strategic decisions, drive experimentation and communicate results to higher managements. You will build best-in-class LLM/LMM/computer vision solutions for the Oracle business domain at scale. You will also partner with Product Management, Data Labelling and Engineering teams to get to develop build best-in-class computer vision solutions at scale. The ideal candidate has extensive experience with computer vision techniques, deep learning techniques, model serving, and a demonstrated ability to think strategicallyabout business, product, and technical challenges to contribute to the development of current and future vision services. Key Responsibilities Development of advanced AI models and algorithms, focusing on large language model, large multimodal, computer vision and foundation models. Design, implement and test the critical module/features of AI service that are correct, highly available, scalable, and cost-effective. Champion best practices for testing, benchmarking, and model validation to ensure reliability and performance. Analysis of ML models, and optimizing models for accuracy and latency. Large-scale training & production deployment with ML models. Own data analysis, feature engineering, technique selection & implementation, debugging, and maintenance of production model. Experience implementing machine learning algorithms or research papers from scratch to production. Work with large, complex data sets. Proactively identify the technical issues/bugs and provide innovative solutions. File patent and publication as by product of solving complex business problems Partner closely with product managers, engineering leads, and annotation/data teams to define requirements, data quality assurance and acceptance of data/annotation as required. Leverage Oracle Cloud technology. Preferred Qualifications Ph.D. (preferred) or Master's in Computer Science, Machine Learning, Computer Vision, or related field. PhD in computer vision or 2+ years of Experience designing, implementing and deploying computer vision models in production environments Expertise in GenAI, LLMs, LMMs, object detection, facial recognition, and image classification. Strong foundation in deep learning architectures such as CNNs, transformers, diffusion models, and multimodal models. Expert in at least one high level language such as Python/Java/C++ Practical experience in ML algorithm design, model training and production deployment using microservices architecture Practical experience working in a cloud environment: Oracle Cloud (OCI), AWS, GCP, Azure or similar technology. Experience or willingness to learn and work in Agile and iterative development processes. Strong drive to learn and master new technologies and techniques. Deep understanding of data structures, algorithms, and excellent problem-solving skills. You enjoy a fast-paced work environment. Career Level - IC3

Responsibilities: Develop and Propose the solution architecture for Generative AI (especially LLMs), advanced Conversational AI chatbots & cloud AIaaS. Develop and implement applications leveraging advanced Generative AI models such as OpenAI GPT, Anthropic Clude, Meta Llama2 and Google Gemini focusing on enhancing developer and business productivity. Develop, Train, Finetune, and Deploy large language models to perform the domain specific tasks. Apply instruction tuning, reinforcement learning from human feedback (RLHF), and parameter efficient finetuning such as, adaptors, LoRA, and so on to improve LLMs for different use cases. Architect solutions incorporating advanced techniques like Retrieval Augmented Generation (RAG), Transformer Architectures, Lanchain, Sqlchain ensuring optimal model performance and scalability. Hands on experience in RAG system, LLM fine tuning and Vector DB is must Measure and benchmark of the various LLMs and application performance. Drive end-to-end implementation and deployment with extensive knowledge of Azure and AWS services Stay abreast of emerging trends, complex patterns, data dependencies, and advancements in AI architecture, contributing to the refinement and innovation of application development processes. Qualifications: Bachelor Degree or Masters degree (or equivalent experience) or PhD in Computer Science, Electrical Engineering, Artificial Intelligence. Excellent programming skills in Python with strong fundamentals in programming, optimizations and software design Strong knowledge of ML/DL techniques, algorithms, and tools with exposure to CNN, RNN (LSTM), Transformers (BERT, BART, GPT/T5, Megatron, LLMs) Hands-on experience on conversational AI Technologies like Natural Language Understanding, Natural Language Generation, Dialog systems (including system integration, state tracking and action prediction), Information retrieval and Question and Answering, Machine Translation etc. Experience with Training BERT, GPT and Megatron Models for different NLP and dialog system tasks using “PyTorch” Deep Learning Frameworks and performing NLP data wrangling and tokenization Understanding of MLOps life cycle and experience with MLOps workflows & traceability and versioning of datasets including knowhow of database management and queries (in SQL, MongoDB etc) Experience using end-to-end MLOps platform such as Kubeflow, MLFlow, AirFlow Strong collaborative and interpersonal skills, specifically a proven ability to effectively guide and influence within a dynamic matrix environment.

Job Description About Onix We a trusted cloud consulting company and leading Google Cloud partner that helps companies get the most out of their technology with cloud-powered solutions, best-in-class services, and the data migration products that unleash AI potential. We are able to deliver exceptional results for our customers because of our 20+ year partnership with Google Cloud, depth of technology expertise, and IP-driven data and AI solutions. We offer solutions across a wide range of use cases and industries that are tailored to the unique needs of each customer. From advanced cloud security solutions to innovative AI capabilities and data migration products, we have you covered. Our global team of experts are the most reliable, talented and knowledgeable in the industry. About the Role We are seeking an experienced AI/ML professional to lead the design, development, and deployment of Generative AI solutions. This role requires a deep understanding of AI/ML architectures, technical leadership, and the ability to design robust, scalable, and production-ready systems. The ideal candidate will have extensive experience in cloud platforms like GCP and optionally AWS, Azure, or equivalent tools, combined with hands-on expertise in MLOps, containerization, data processing, and advanced model optimization. You will work closely with cross-functional teams, technical leadership, and stakeholders to implement state-of-the-art AI solutions that solve real-world challenges and drive business value. Required Skills & Qualifications 7+ years of experience in AI/ML architecture, model development, and production deployment. Proven expertise in designing, implementing, and scaling Generative AI and LLM-based solutions. Hands-on experience with frameworks like LangChain, Retrieval-Augmented Generation (RAG), and advanced prompting techniques. Proficiency in advanced techniques such as embeddings and Chain-of-Thought (COT) prompting. Experience working with cloud platforms, primarily GCP, with optional experience in AWS or Azure. Strong understanding of MLOps tools, pipelines, and model monitoring in production. Proficiency in Python and SQL for model development and data processing. Experience with data preprocessing, ETL workflows, and feature engineering for AI applications. Strong knowledge of containerization tools like Docker and orchestration platforms like Kubernetes. Solid understanding of CI/CD pipelines for continuous deployment and integration of AI solutions. Experience working with large datasets for structured and unstructured AI applications. Deep experience in model optimization, including hyperparameter tuning and computational efficiency strategies. Proven track record of leading POCs/pilots and scaling them to production-grade deployments. Preferred Skills Familiarity with Reinforcement Learning from Human Feedback (RLHF). Experience with REACT (Retrieve, Extract, Adapt, Construct, Think) frameworks. Strong understanding of orchestration for large-scale production environments. Key Attributes Strong technical leadership and mentorship abilities. Excellent communication and stakeholder management skills. Strategic thinking with the ability to architect scalable and future-ready AI systems. Passion for solving business challenges using state-of-the-art AI techniques. Commitment to staying updated with the latest advancements in AI/ML technologies. Why Join Us? Lead the development of cutting-edge Generative AI solutions for real-world applications. Be part of a collaborative, innovative, and technology-driven team. Opportunity to work with advanced AI/ML tools and frameworks. Drive innovation through technical leadership, mentorship, and solution evangelization. Continuous professional growth with access to the latest AI/ML technologies and frameworks.

Location: Navi Mumbai Job Type: Fulltime Woke Mode: 5 Days office Immediate notice Skills required: 1. Minimum 3+ years of Experience of GEN AI 2. Experience with: Programming Knowledge of Java /Pyth

Requirements: Must have experience as a Data Scientist or transitioned from Data Engineer Proficient in AWS Expertise in ML Model Design & Development Strong Feature Engineering experience Good to Have: NLP, GraphQL / Graph ML, Generative AI Education: B.Tech / M.Tech in Computer Science, IT, or ECE Location: Delhi NCR,Bangalore,Chennai,Pune,Kolkata,Ahmedabad,Mumbai,Hyderabad

Understand the requirements from the Product Owners Collaborate with the team for design and development of features Ensure the deliverables from the Development is of high quality Look for process improvements and drive towards excellence Key Result Areas: Develop new features to meet the needs of Enterprise and Operations teams. Own the deliverables from a Scrum team and responsible for meeting timelines Coordinate rapid, smooth, and successfully iterative product launches in close collaboration with Product Owner, Quality Engineering and UI Teams. Qualifications B.E/B.Tech in Computer Science or similar 3 to 5 years in Application development Excellent programming skills in .Net, .Net Core, C#, Angular, ADO.Net, ASP.Net MVC and related web and Windows development technologies. Experience using Generative AI tools in software development is a plus (Amazon Q, CoPilot, etc) Strong Experience on Web Services especially REST API design Good understanding about Multithreading Data Structures and Algorithms Strong knowledge of relational and non-relational database concepts (MS SQL, MySQL, Oracle, MongoDB) Highly motivated, a Go-Getter who needs very little or no supervision Must possess excellent communication and teamwork skills Must be adaptable to agile methodology work in a fast-paced environment.

Understand the requirements from the Product Owners Collaborate with the team for design and development of features Ensure the deliverables from the Development is of high quality Look for process improvements and drive towards excellence Key Result Areas: Develop new features to meet the needs of Enterprise and Operations teams. Own the deliverables from a Scrum team and responsible for meeting timelines Coordinate rapid, smooth, and successfully iterative product launches in close collaboration with Product Owner, Quality Engineering and UI Teams. Qualifications B.E/B.Tech in Computer Science or similar 3 to 5 years in Application development Excellent programming skills in .Net, .Net Core, C#, Angular, ADO.Net, ASP.Net MVC and related web and Windows development technologies. Experience using Generative AI tools in software development is a plus (Amazon Q, CoPilot, etc) Strong Experience on Web Services especially REST API design Good understanding about Multithreading Data Structures and Algorithms Strong knowledge of relational and non-relational database concepts (MS SQL, MySQL, Oracle, MongoDB) Highly motivated, a Go-Getter who needs very little or no supervision Must possess excellent communication and teamwork skills Must be adaptable to agile methodology work in a fast-paced environment.