479 Genai Jobs - Page 12

Contact: +91 90329 56160 PrimarySkills Java Python Azure GenAI LLM NLP CICD DocumentProcessing AIModelDeployment MandatorySkills Strong programming skills in Java and Python (Coding Test in Python Required) Minimum 8+ years of relevant experience Expertise in deploying AI/ML/LLM models (especially for document extraction processing) Proven hands-on experience with Gen AI, NLP, and real-world AI deployments Familiarity with CI/CD pipelines and cloud integration (especially Azure) Experience working on small POCs, pilot solutions, and scaling AI use cases Strong collaboration, communication skills, and ownership mindset Ability to integrate AI solutions with existing technology stack Experience collaborating directly with business/investment professionals NiceToHave Prior experience in investment or finance domain Background in solution design and cross-functional team collaboration ImportantNote All candidates must pass a Python coding screening as part of the evaluation process. ApplicationChecklist Notice Period Immediate or Max 15 Days Only

Roles and Responsibilities : Design, develop, test, and deploy NLP models using Python and machine learning algorithms. Collaborate with cross-functional teams to integrate NLP solutions into existing systems. Develop data pipelines for large-scale text analysis and sentiment analysis projects. Troubleshoot issues related to model performance, data quality, and system integration. Job Requirements : 3-8 years of experience in natural language processing (NLP) development using Python. Strong understanding of machine learning concepts and techniques. Proficiency in developing scalable data pipelines for big data processing. Experience with popular NLP libraries such as NLTK, spaCy, or Hugging Face Transformers.

Must have Masters or Bachelor’s degree in computer science engineering or information technology or Relevant field. • Relevant certifications such as Microsoft Certified: Azure Solutions Architect Expert or similar. • Microsoft AZ900 Certification & AZ 305 Certification • TOGAF or ArchiMate or Zachman or equivalent architecture frameworks experience • Experience in automation using Python, Gen AI, AI Ops, etc. • Experience with data integration, data warehousing, and big data technologies. • Experience with containerization and orchestration tools (e.g., any 2 of following: Docker, OpenShift, Kubernetes, ECS, GKE, AKS, EKS, Rancher, Apache Mesos, Nomad, Docker Swarm, Kubernetes). • Understanding of the O&G sector's operational workflows, including the intricacies of exploration, extraction, refining, and distribution activities, to tailor cloud-based solutions that complement the industry's unique needs. • Competence in tackling technical hurdles specific to the O&G domain, such as efficient asset management in isolated areas, processing extensive seismic datasets, and ensuring compliance with strict regulatory frameworks. • Proficiency in leveraging Azure cloud technologies to enhance the O&G Industry's operational effectiveness, utilizing tools like IoT, advanced data analytics, and machine learning for better results • Experience with CI/CD pipelines and automated testing frameworks (e.g. CircleCI, Jenkins, TeamCity, Travis CI, Bamboo, Bitbucket, etc.) • Strong interpersonal skills with the ability to engage effectively with both technical and non-technical stakeholders.

Very Urgent: AI Specialist / Gen AI Specialist with LLM Company: AurumData Solutions Experience: 8+years Location: Hyderabad Job Mode: Permanent Work Type: Work From Office Key Skills: AI/GenAI, LLM, RAG,NLP, Python, ML/DL, TensorFlow, PyTorch, Scikit-learn, cloud platforms (AWS, GCP, or Azure) AI Specialist Job Description: We are seeking an experienced AI Specialist to develop, implement, and optimize artificial intelligence (AI) and machine learning (ML) models. The ideal candidate will have a strong background in AI, deep learning, natural language processing (NLP), and data science. This role involves collaborating with cross-functional teams to integrate AI-driven solutions into business processes, enhancing efficiency, automation, and decision-making. Required Skills & Qualifications Bachelor's or Masters degree in Computer Science, AI, Machine Learning, Data Science, or a related field. 5+ years of experience in AI/ML development and deployment. Proficiency in programming languages such as Python, R, or Java. Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.). Strong understanding of deep learning architectures (CNNs, RNNs, Transformers, GANs). Experience with NLP, speech recognition, or computer vision. Knowledge of cloud-based AI services (AWS SageMaker, GCP AI, Azure ML). Familiarity with big data technologies (Hadoop, Spark, Kafka) is a plus. Strong problem-solving skills and the ability to work in a collaborative environment. Excellent communication skills to convey AI concepts to non-technical stakeholders. Design, develop, and deploy AI/ML models to solve complex business problems . Implement machine learning algorithms, including supervised and unsupervised learning, deep learning, and reinforcement learning. Work with large datasets to extract insights and build predictive models. Develop AI-powered applications, including chatbots, recommendation systems, and computer vision solutions. Collaborate with data scientists, engineers, and business analysts to align AI solutions with business needs. Optimize AI models for performance, scalability, and accuracy. Conduct research on emerging AI technologies and recommend their adoption. Ensure AI solutions comply with ethical AI principles, privacy regulations, and security guidelines. Use cloud platforms (AWS, GCP, or Azure) to deploy and manage AI models. Continuously monitor and improve AI models based on real-world feedback and data. Preferred Qualifications AI certifications (Google Professional ML Engineer, AWS Certified ML Specialist, etc.). Experience in AI-driven automation and decision intelligence. Knowledge of edge AI and federated learning techniques. If you are interested, kindly send your updated profiles to Balaram@aurumdatasolutions.com Regards, Balaram K Mobile No: +91- 9000749410 / 9848771366 Email: Balaram@aurumdatasolutions.com

What you will do Let s do this. Let s change the world. In this vital role you will play a key role in a regulatory submission content automation initiative which will modernize and digitize the regulatory submission process, positioning Amgen as a leader in regulatory innovation. The initiative demonstrates innovative technologies, including Generative AI, Structured Content Management, and integrated data to automate the creation, review, and approval of regulatory content. Role Description: The Technical Product Owner is responsible for defining the vision & strategy for a GenAI Platform responsible for providing primary infrastructure and capabilities supporting regulatory submission document use cases operating in a SAFe framework, primarily responsible for enhancing the value delivered by the team by ensuring that the team backlog is aligned with key customer needs. This role involves close collaboration with key customers to gather requirements, prioritize features, and guide the development process. The role represents the technical needs of dependent product implementations and ensures that strategy and implementation remain connected throughout the value stream. The ideal candidate has strong experience in product management, excellent communication skills, and a deep understanding of Agile methodologies. Define and communicate the product vision, ensuring alignment with business goals Create, prioritize, and maintain the product backlog, ensuring that it reflects the needs of the business and key partners Collaborate with key partners to gather and document product requirements, user stories, and acceptance criteria Work closely with the Scrum Master and development team to plan and implement sprints, ensuring that the highest priority features are delivered Find opportunities to improve the product and development process, and make data-driven decisions to enhance the product Supervise the day-to-day management of technology platforms, ensuring that they meet performance, security, and availability requirements Maintain relationships with vendors, ensuring that service levels are met and that the organization derives the best value from its investments Ensure that products align with security standards, regulatory requirements, and organizational policies Supervise the resolution of service-related incidents and problems, ensuring minimal impact on business operations Maintain detailed documentation of service processes, SLAs, and improvement initiatives Analyze customer feedback and support data to identify difficulties and opportunities for product improvement Maintain alignment and clear lines of communication with other GenAI Product Owners and Program Leadership regarding produce development Ensure seamless integration of GenAI capabilities with existing systems and workflows Drive continuous improvement and innovation in GenAI solutions What we expect of you We are all different, yet we all use our unique contributions to serve patients. At Amgen, a Technical Product Owner is responsible for setting, prioritizing, and evaluating the work generated by the product team to ensure outstanding features and functionality of the product. They partner closely with internal and external clients to facilitate the optimization of processes through the implementation of solutions that enable enterprise-wide capabilities. Basic Qualifications: Doctorate degree OR Master s degree and 4 to 6 years of experience in Business Analysis or Product Ownership OR Bachelor s degree and 6 to 8 years of experience in Business Analysis or Product Ownership OR Diploma and 10 to 12 years of experience in Business Analysis or Product Ownership Strong knowledge of Agile methodologies and product management principles Experience in handling technical platforms through supporting infrastructure, DevOps, CI/CD, and similar technical requirements. Experience with product backlog management tools (e. g. , Jira) Solid understanding of custom developed technologies and GenAI capabilities Preferred Qualifications: Experience with custom GenAI solutions Solid understanding of international pharmaceutical regulatory submission guidelines and processes (eCTD, ICH) Understanding of the Common Technical Document (CTD), Regulatory Affairs and submission filings and related technologies in the areas of Clinical, Safety, Labeling, or Medical writing 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 handle multiple priorities successfully. Team-oriented, with a focus on achieving team goals Strong presentation and public speaking skills. Professional Certifications: SAFe for Teams certification (preferred) SAFe Product Owner and SAFe Product Manager (preferred) What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.

Drive development of enterprise-levelGenAIapplications using LLM frameworks such asLangchain,Autogen, and Hugging Face. Architect intelligent pipelines usingPySpark, TensorFlow, andPyTorchwithin Databricks and AWS environments. Implement embedding models andmanageVectorStoresfor retrieval-augmented generation (RAG) solutions. Integrate andleverageMDM platforms like Informatica and Reltio to supply high-quality structured data to ML systems. Utilize SQL and Python for data engineering, data wrangling, and pipeline automation. Build scalable APIs and services to serveGenAImodels in production. Lead cross-functional collaboration with data scientists, engineers, and product teams to scope, design, and deploy AI-powered systems. Ensure model governance, version control, and auditability aligned with regulatory and compliance expectations. Basic Qualifications and Experience: Master s degree with8-10years of experience in Data Science, Artificial Intelligence, Computer Science, or related fields OR Bachelor s degree with 10 - 14 years of experience in Data Science, Artificial Intelligence, Computer Science, or related fields OR Diploma with 14 - 16 years of hands-on experience in Data Science, AI/ML technologies, or related technical domain Functional Skills: Must-Have Skills: 10+ years of experience working in AI/ML or Data Science roles, includingdesigningand implementingGenAIsolutions. Extensive hands-on experience with LLM frameworks and tools such asLangchain,Autogen, Hugging Face, OpenAI APIs, and embedding models. Strong programming background with Python,PySpark, and experience in building scalable solutions using TensorFlow,PyTorch, and SK-Learn. Proventrack recordof building and deploying AI/ML applications in cloud environments such as AWS. Expertisein developing APIs, automation pipelines, and servingGenAImodels using frameworks like Django,FastAPI, andDataBricks. Solid experience integrating and managing MDM tools (Informatica/Reltio) and applying data governance best practices. Guide the team on development activities and lead the solution discussions Must have core technical capabilities inGenAI, Data Science space Good-to-Have Skills: Prior experience in Data Modeling, ETL development, and data profiling to support AI/ML workflows. Working knowledge of Life Sciences or Pharma industry standards and regulatory considerations. Proficiencyin tools like JIRA and Confluence for Agile delivery and project collaboration. Familiarity with MongoDB,VectorStores, and modern architecture principles for scalableGenAIapplications. Professional Certifications: Any ETL certification (e.g.Informatica) Any Data Analysis certification (SQL) Any cloud certification (AWS or AZURE) Data Science and ML Certification Soft Skills: Strong analytical abilities to assess and improve master data processes and solutions. Excellent verbal and written communication skills, with the ability to convey complex data concepts clearly to technical and non-technical stakeholders. Effective problem-solving skills to address data-related issues and implement scalable solutions. Ability to work effectively with global, virtual teams

Requirement Brief: Idolize is an AI Tech Startup with 6+ years deep experience in Implementing HyperAutomation Solutions. We take pride in calling ourselves as one of the best solution provider in the HyperAutomation space while amalgamating multiple technologies under one roof. In this sequence, we are currently having acute focus on GenAI, LLM and NLP under the umbrella of AI technologies to enhance our capabilities in HyperAutomation while integrating these tech components in more complex automation use cases. In above context, we are in the process of setting up a dedicated COE (center of excellence) for GenAI, LLM and related technologies and looking to onboard talented individuals as GenAI Interns who have completed their base academic degree in computer science i.e. B.Tech. (CS or IT), B.E. (CS or IT), M.Tech. (CS or IT), MCA and who are passionate to build AI driven automation solutions with the help of these new age technologies. Below are the detailed requirements for this opportunity and we are eager to on-board you as early as in a week time. What is expected from you: Educational Background: Degree: Bachelors or Masters degree in Computer Science, Computer Engineering, or a related field. Recent graduates or final-year students are encouraged to apply. We would like to have only and only 2023 and 2024 passing graduates. Please note that we are not currently interviewing candidates with B.Sc. or M.Sc. degrees hence you may choose not to apply. Technical Skills: Programming Languages: Proficiency in programming languages commonly used in AI and machine learning, such as Python. Familiarity with libraries like PyTorch or TensorFlow is highly desirable. Understanding of LLMs: Fundamental knowledge of how Large Language Models work, including transformers, attention mechanisms, and common architectures like GPT, BERT, or T5. Experience with NLP: Basic understanding of Natural Language Processing (NLP) concepts and techniques, such as tokenization, embedding, and text classification. Machine Learning Foundations: Solid understanding of machine learning principles, algorithms, and techniques. Coursework or projects in machine learning is a plus. Hands-On Experience: Projects and Internships: Experience in working on projects involving LLMs or NLP tasks. This could include internships, academic projects, hackathons, or personal projects that demonstrate practical experience with LLMs. Use of LLMs: Demonstrated experience in using pre-trained LLMs (such as GPT, BERT, etc.) for various applications. Experience in fine-tuning models for specific tasks or developing applications using LLMs is a plus. Git and Version Control: Familiarity with version control systems like Git for managing code. Soft Skills: Problem-Solving Ability: Strong analytical skills and the ability to solve complex problems independently. Communication Skills: Ability to clearly articulate ideas and collaborate effectively in a team environment. Learning Attitude: A proactive and enthusiastic approach to learning new technologies and methodologies, especially in the rapidly evolving field of GenAI. Preferred Qualifications: Research Experience: Any research experience or publications related to NLP, LLMs, or machine learning. Cloud Computing: Familiarity with cloud platforms (AWS, Azure, Google Cloud) and experience deploying machine learning models on cloud infrastructure. Contributions to Open Source: Contributions to open-source projects, particularly those related to NLP, machine learning, or GenAI. - What is in it for you: Opportunity to work on Live use cases: From day-1 we will involve you in the production use cases across various business verticals like Banking, NBFC, Manufacturing and Insurance etc. Working in high performing environment: We encourage solution mindset colleagues who are having passion for their subject and this time it is your chance to be part of this culture Remuneration, Benefits and Rewards: We ensure that top talent in you is always recognized and you receive all your due credits be it tangible benefits or intangible one. We offer top salaries, time to time recognition and deliverables centric bonuses. More you deliver more you receive back from us Centrally located office with all amenities: Our office is in Thane Wagle Estate area which is fast growing business hub in Mumbai now. We take care of all your essential needs to ensure that you stay focussed on your main objective of solution building Pls send your resume first on talent@idolizesolutions.com . Once we review your profile and select the same, we will contact you for next round of discussion on a mutually convenient time. We generally conduct only 2 rounds of interview same day or few days apart and announce the final decision immediately thereafter. Office Address: Idolize Business Solutions AWFIS Office Space, 2nd Floor, Kalpataru Prime, Road Number 16, Wagle Industrial Estate, Thane West, 400604. Website: www.idolizesolutions.com | Phone: 7021483772 | Email: talent@idolizesolutions.com

BMC Helix is a leading AI-powered, cloud-native, and on-premise deployable platform for service and operations management. Designed with microservices , containers , and API-first architecture , BMC Helix enables organizations to intelligently automate and scale their IT environments. The platform supports deployment across public cloud , private cloud , hybrid , and on-premise environmentsoffering unmatched flexibility for enterprise-grade operations. With cutting-edge Agentic AI capabilities, BMC Helix allows businesses to shift from reactive incident handling to predictive , autonomous service and operations management . From ITSM and ITOM to AIOps, BMC Helix empowers global enterprises to deliver exceptional user experiences while reducing operational complexity and cost. Join the Digital Solution Engineering team at BMC Helix as an Associate Solution Engineer, where technology meets business impact. This early-career role is ideal for recent graduates or individuals with 1-3 years of relevant experience who are excited to work at the intersection of enterprise technology and customer value. Youll work alongside experienced engineers, product specialists, and customer-facing teams to understand client challenges and demonstrate how BMC Helix can solve them. The role is split 50% technology (platform knowledge, demos, architecture , differenciators ) and 50% business (industry alignment, use cases, problem-solving). Here is how, through this exciting role, you will contribute to BMC's and your own success: Key Responsibilities Collaborate with the Global, Regional and Digital Solution Engineering teams to support customer engagements through solution design and tailored presentations. Participate in customer discovery sessions to understand technical requirements and business goals. Deliver value-driven demonstrations showcasing BMC Helix capabilities such as Agentic AI , intelligent automation, and cross-domain service integration. Help design and configure proof-of-value. Communicate technical conceptslike containerized microservices , multi-cloud/on-prem deployments , and platform integrations in a clear, business-relevant way. Engage with internal product, sales, and strategy teams to align solutions with evolving customer needs. Stay current on trends in GenAI, ITSM, ITOM, AIOps and enterprise digital transformation. To ensure youre set up for success, you will bring the following skillset and experience: Bachelors degree in Computer Science, Information Technology, Engineering, or a related field. 03 years of experience in a technical, consulting, or customer-facing role. Excellent communication and presentation skills, comfortable engaging both technical and non-technical stakeholders. Interest or hands-on experience with Generative AI (GenAI) and Large Language Models (LLMs) for use cases such as natural language interfaces, intelligent automation, or conversational support. Foundational knowledge of cloud platforms (AWS, Azure, GCP), microservices, and container technologies (Docker, Kubernetes). Passion for technology and a strong desire to understand enterprise IT challenges. Team-oriented, adaptable, and eager to learn in a fast-paced environment. Exposure to platforms like BMC Helix, ServiceNow, Jira Service Management, or similar. Basic scripting or API knowledge (e.g., Python, JavaScript, REST). Familiarity with ITIL, DevOps principles, or service management concepts. Multilingual skills are a plus: fluent in English; proficiency in additional languages such as Spanish, French, German, Italian, etc., is a plus.

Proficiency in Python, LangChain, LangGraph and GenAI APIs. Hands-on experience with vector databases (Pinecone, FAISS, ChromaDB). Understanding of Agentic AI, LLMs, transformers, and orchestration frameworks. Exposure to cloud services (AWS/GCP/Azure) and CI/CD practices. Stay current with AI trends and toolsSourcing & Screening US profiles.

We have an excellent opportunity with one of our prestigious clients for CMMI Level 5 Company Skills - Large Language Models Exp- 13 Years to 25 Years Locations - Pan India Candidate must have 15 years of regular education. Must have Relevant experience minimum 8 Years of Exp in Large Language Models with Machine Learning, Natural Language Processing (NLP), Deep Learning, GenAI , MLOps , Python, AWS, Azure, GCP . Kindly share below the following details as well . Full Name: Total experience: Relevant Experience: Current CTC: Expected CTC: Notice Period: Current location: Preferred Location: As an AI/ML Engineer, you will develop applications and systems utilizing AI tools, Cloud AI services, and GenAI models. Your role involves creating cloud or on-prem application pipelines with production-ready quality, incorporating deep learning, neural networks, chatbots, and image processing. Must Have Skills : Proficiency in Large Language Models. Strong understanding of deep learning frameworks such as TensorFlow or PyTorch, Machine Learning, Natural Language Processing (NLP), Deep Learning ,GenAI,MLOps ,Python. Experience with cloud platforms like AWS, Azure, or Google Cloud for deploying AI solutions. Thanks Anand anand@vuiinfotech.in

Dear Candidate, Below is the JD for your reference. if interested, kindly mail your CV with below details on Jagruti.pandit@accelya.com Total & relevant exp: Current org: CTC & ECTC: Notice Current Location: Job Description Role purpose As a Manager - Software Development, you will guide and coach a team of software developers, providing project management and technical leadership for every aspect of software to deliver new products or upgrade existing products. You will take a hands-on role in software development. Exp: 9-15yrs and Managed a team of 15+ people know Agile practices Skills: FS java/NodeJS JavaScript, should know Generative AI knowledge of measuring KPIs and knowledge of AWS/cloud computing. Duties and Responsibilities: •Develop and prepare best software development team. •Guide and coach software engineers •Establish standards and processes along with best practices for delivery of scalable and high-quality software. •Understand how products would add value to respective businesses •Ensure top quality design reviews attaining business goals. •Supervise resource allocation to assure business and personnel development goals. •Manage and execute software development projects from beginning to finish. •Evaluate projects, develop and update schedules plus supervise project status. Knowledge, Experience & Skills: •Proven experience of leading team •Proven ability of tackling challenging projects •Strong Technical background in software development •Experience of working and managing in an Agile environment •Highly knowledgeable in engineering processes and methodologies across •Experience with unit testing and end to end testing •Bachelors Degree in engineering

We are seeking a talented Data Scientist to join our team in India. The ideal candidate will have 5-10 years of experience in data analysis and machine learning, with a proven track record of using data to drive business decisions. You will work closely with various teams to analyze large datasets, build predictive models, and provide actionable insights. Responsibilities Analyze large datasets to derive actionable insights. Build predictive models using machine learning techniques. Collaborate with cross-functional teams to understand business needs and translate them into data-driven solutions. Develop and maintain data pipelines and workflows for data extraction, transformation, and loading (ETL). Present findings and recommendations to stakeholders in a clear and concise manner. Skills and Qualifications Strong proficiency in programming languages such as Python or R. Experience with data manipulation and analysis using libraries like Pandas, NumPy, and SciPy. Solid understanding of machine learning algorithms and frameworks (e.g., Scikit-learn, TensorFlow, Keras). Proficient in SQL and experience with database management systems such as PostgreSQL or MySQL. Familiarity with data visualization tools like Tableau or Power BI. Excellent problem-solving skills and attention to detail. Strong communication skills to present complex findings to non-technical audiences.

Roles and Responsibilities: The successful candidate will be responsible for the continuity of architecting our product. This includes- Collaboratively build, implement, and manage technology architecture roadmap. Implement, manage, and validate strong coding standard and quality across various technologies. Implement, manage, and drive core technology upgrades within the product roadmap. Lead by example and able to show case strong coding skills. Identify and develop next line of technical architects within the team. Prime both proactive and reactive stakeholders engagements. Build and maintain the Product API layer through API Management platforms like Postman, Swagger, Apiary etc. Technology Stack- • The following technology stacks are required, but not limited to: • Angular/React (experience with micro-frontend architecture will be an added advantage) • NodeJS, Python, JAVA • MongoDB or any NoSQL, Oracle, SQL Server, MySQL/PostgreSQL (experience with Data Pipeline creation and management will be an added avantage) • Redis or any other Caching technology • Jenkins and Serverless deployment • Docker, Kubernetes, Kong • Puppet, Chef, Ansible • RabbitMQ, Apache Kafka, Apache ActiveMQ, Amazon SQS or AmazonMQ

Role Overview We are seeking a highly skilled AI Engineer with 8-12 years of experience to lead the development of Generative AI (GenAI) and Machine learning solutions for internal projects. This role requires a self-driven leader with exceptional communication, strategic thinking, and expertise in data analytics and visualization to deliver innovative GenAI tools tailored to internal team needs while driving cross-functional collaboration. Key Responsibilities - GenAI Development: Design and develop advanced GenAI models (e.g., LLMs, DALL E models) and AI Agents to automate internal tasks and workflows. Exposure to LLMs: Utilize Azure Open AI APIs, experience on models like GPT4o, O3 , llama3 Enhance the existing RAG based application: In depth understanding of stages of RAG - chunking, retrieval etc. - Cloud Deployment: Deploy and scale GenAI solutions on Azure Cloud services (e.g., Azure Function App) for optimal performance. In depth understanding of ML models like linear regression, random forest, decision trees. In depth understanding on clustering and supervised models. - AI Agent Development: Build AI agents using frameworks like LangChain to streamline internal processes and boost efficiency. - Data Analytics: Perform advanced data analytics to preprocess datasets, evaluate model performance, and derive actionable insights for GenAI solutions. - Data Visualization: Create compelling visualizations (e.g., dashboards, charts) to communicate model outputs, performance metrics, and business insights to stakeholders. Stakeholder Collaboration: Partner with departments to gather requirements, align on goals, and present technical solutions and insights effectively to non-technical stakeholders. - Model Optimization: Fine-tune GenAI models for efficiency and accuracy using techniques like prompt engineering, quantization, and RAG (Retrieval-Augmented Generation). LLMOps Best Practices: Implement GenAI-specific MLOps, including CI/CD pipelines (Git, Azure DevOps) - Leadership: Guide cross-functional teams, mentor junior engineers, and drive project execution with strategic vision and ownership. Helicopters, strategic Thinking**: Develop innovative GenAI strategies to address business challenges, leveraging data insights to align solutions with organizational goals. - Self-Driven Execution: Independently lead projects to completion with minimal supervision, proactively resolving challenges and seeking collaboration when needed. - Continuous Learning: Stay ahead of GenAI, analytics, and visualization advancements, self-learning new techniques to enhance project outcomes. Required Skills & Experience - Experience: 8-12 years in AI/ML development, with at least 4 years focused on Generative AI and AI agent frameworks. - Education: BTech/BE in Computer Science, Engineering, or equivalent (Masters or PhD in AI/ML is a plus). - Programming: Expert-level Python proficiency, with deep expertise in GenAI libraries (e.g., LangChain, Hugging Face Transformers, PyTorch, Open AI SDK) and data analytics libraries (e.g., Pandas, NumPy), sk-learn. Mac - Data Analytics: Strong experience in data preprocessing, statistical analysis, and model evaluation to support GenAI development and business insights. - Data Visualization: Proficiency in visualization tools (e.g., Matplotlib, Seaborn, Plotly, Power BI, or Tableau) to create dashboards and reports for stakeholders. - Azure Cloud Expertise: Strong experience with Azure Cloud services (e.g., Azure Function App, Azure ML, serverless) for model training and deployment. - GenAI Methodologies: Deep expertise in LLMs, AI agent frameworks, prompt engineering, and RAG for internal workflow automation. - Deployment: Proficiency in Docker, Kubernetes, and CI/CD pipelines (e.g., Azure DevOps, GitHub Actions) for production-grade GenAI systems. - LLMOps: Expertise in GenAI MLOps, including experiment tracking (e.g., Weights & Biases), automated evaluation metrics (e.g., BLEU, ROUGE), and monitoring. Soft Skills: - Communication: Exceptional verbal and written skills to articulate complex GenAI concepts, analytics, and visualizations to technical and non-technical stakeholders. - Strategic Thinking: Ability to align AI solutions with business objectives, using data-driven insights to anticipate challenges and propose long-term strategies. - Problem-Solving: Strong analytical skills with a proactive, self-starter mindset to independently resolve complex issues. - Collaboration: Collaborative mindset to work effectively across departments and engage colleagues for solutions when needed. Preferred Skills - Experience deploying GenAI models in production environments, preferably on Azure Familiarity with multi-agent systems, reinforcement learning, or distributed training (e.g., DeepSpeek). - Knowledge of DevOps practices, including Git, CI/CD, and infrastructure-as-code. Advanced data analytics techniques (e.g., time-series analysis, A/B testing) for GenAI applications. - Experience with interactive visualization frameworks (e.g., Dash, Streamlit) for real-time dashboards. - Contributions to GenAI or data analytics open-source projects or publications in NLP, generative modeling, or data scien

Python, Deep Learning, Object Detection, Classification, Segmentation., GPU acceleration (CUDA, cuDNN). Model Optimization (pruning, quantization), deploying models to edge devices. Required Candidate profile willingness to explore and contribute to Generative AI and cloud-based AI solutions, C/C++., AWS Cloud AI/ML tools, exposure to GenAI frameworks like OpenAI, Stable Diffusion

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Google Cloud Machine Learning Services Summary: As an AI/ML Engineer, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve applying GenAI models, developing cloud or on-prem application pipelines, and ensuring production-ready quality. You will also work with deep learning, neural networks, chatbots, and image processing. Key Responsibilities : A: Demonstrate various Google specific Designs using effective POCs, as per client requirements. B: Identifying applicability of Google Cloud AI services to use cases with ability to project both the business and tech benefits. C: Design, build and productionizes ML models to solve business challenges using Google Cloud technologies D: Lead and guide team of data scientists E: Coordinating and collaborating with cross-functional teams Technical Experience : A: Min 3 + years of experience on GCP AWS ML B: Exposure to Google Gen AI Services C: Exposure to GCP and its Compute, Storage, Data, Network, Security services D: Expert programming skills in any one of Java, Python, Spark E: Knowledge of GKE, Kubeflow on GCP would be good to have G: Experience in Vertex AI for building and managing the ML models H: Experience in implementing MLOps Location: Pan India

Ready to shape the future of work At Genpact, we don&rsquot just adapt to change&mdashwe drive it. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos , our industry-first accelerator, is an example of how we&rsquore scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to , our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that&rsquos shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at and on , , , and Inviting applications for the role of Principal Consultant -Lead MLOps Engineer! In this role, you will define, implement and oversee the MLOps strategy for scalable, compliant, and cost-efficient deployment of AI/ GenAI models across the enterprise. This role combines deep DevOps knowledge, infrastructure architecture, and AI platform design to guide how teams build and ship ML models securely and reliably. You will establish governance, reuse, and automation frameworks for AI infrastructure, including Terraform-first cloud automation, multi-environment CI/CD, and observability pipelines. Responsibilities Architect secure, reusable, modular IaC frameworks across cloud and regions for MLOps Lead the development of CI/CD pipelines and standardize deployment frameworks. Design observability and monitoring systems for ML/ GenAI workloads. Collaborate with platform, data science, compliance and Enterprise Architecture teams to ensure scalable ML operations. Define enterprise-wide MLOps architecture and standards (build ? deploy ? monitor) Lead design of GenAI / LLMOps platform (Bedrock/OpenAI/Hugging Face + RAG stack) Integrate governance controls (approvals, drift detection, rollback strategies) Define model metadata standards, monitoring SLAs, and re-training workflows Influence tooling, hiring, and roadmap decisions for AI/ML delivery Be engaging in the design, development and maintenance of data pipelines for various AI use cases Required to actively contribution to key deliverables as part of an agile development team Qualifications we seek in you! Minimum Qualifications Good years of experience in DevOps or MLOps roles. Degree/qualification in Computer Science or a related field, or equivalent work experience Strong Python programming skills. Hands on experience in containerised deployment. Proficient with AWS (SageMaker, Lambda, ECR), Terraform, and Python. Demonstrated experience deploying multiple GenAI systems into production. Hands-on experience deploying 3-4 ML/ GenAI models in AWS. Deep understanding of ML model lifecycle: train ? test ? deploy ? monitor ? retrain. Experience in developing, testing, and deploying data pipelines using public cloud. Clear and effective communication skills to interact with team members, stakeholders and end users Knowledge of governance and compliance policies, standards, and procedures Exposure to RAG/LLM workloads and model deployment infrastructure. Experience in developing, testing, and deploying data pipelines Preferred Qualifications/ Skills Experience designing model governance frameworks and CI/CD pipelines. Knowledge of governance and compliance policies, standards, and procedures Advanced understanding of platform security, cost optimization, and ML observability. Why join Genpact Be a transformation leader - Work at the cutting edge of AI, automation, and digital innovation Make an impact - Drive change for global enterprises and solve business challenges that matter Accelerate your career - Get hands-on experience, mentorship, and continuous learning opportunities Work with the best - Join 140,000+ bold thinkers and problem-solvers who push boundaries every day Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let&rsquos build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color , religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training.

Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose - the relentless pursuit of a world that works better for people - we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. Inviting applications for the role of Lead Consultant, Data Analyst In this role, you will be working with the client team to solve their data analytics and automation needs. In Addition, client is trying to leverage data science techniques using a newly acquired platform &lsquoDataRobot to the build predictive models based upon tons of available enterprise data. DataRobot provides a simple, drag-and-drop web-based interface for building and deploying complex predictive models. But interpretation of these models and insights requires skills of a data scientist / engineer to harness this tool&rsquos capabilities fully and efficiently to the fullest. Responsibilities . Solve business problems using advanced data analytics tools like Python, R and GenAI/AI/ML solutions. . Collaborate with other client group members and stakeholders to provide data analytic support. . Executing data-driven processes by building models and frameworks that connect business unit drivers and forecast correct actions as per the business needs. . Evaluate automation opportunities suggested by the Service lines. . Maintain a prioritized backlog for development and implementation of automation solutions. . Fix bugs and enhance existing automation solutions. . End-to-end project management including day-to-day delivery, reporting, escalations etc. . Stakeholder management - Collaborate with client, tech teams and Genpact stakeholders to achieve project objectives. . Knowledge sharing and mentoring team members to enable them to handle data projects more efficiently and effectively. . Be able to work in high pressure environment. Qualifications Minimum qualifications . Any Graduate . MBA / M. Tech(preferred) . Agile Certified - good to have. . Should have prior experience in Data analysis and automation. Preferred qualifications . Strong Excel & VBA skills are a must. . Hands-on experience of DataRobot . Hands-on experience with advanced Python/R/SQL/ML . Data and Trend Analysis - Experience with predictive modelling techniques such as clustering, segmentation, linear & regression, random forest etc. . Working knowledge of GenAI is an added advantage. . Ability to design and build dashboards and other visualization in BI tools such as Tableau, Qlikview or Power BI . Good communication skills & highly proactive approach. . Ability to manage & prioritize deliverables. . Ability to learn and apply new processes and tools. . Process orientated awareness of Lean Six Sigma. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. For more information, visit www.genpact.com . Follow us on Twitter, Facebook, LinkedIn, and YouTube. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training.

Role: Deputy Manager Strategy About the Role We are looking for a high-potential, entrepreneurial problem-solver to join our Strategy Team at Indofast a landmark Joint Venture between IndianOil and SUN Mobility, aimed at building India’s largest EV battery swapping network. You will work directly with CXOs and functional leaders to solve high-impact problems across commercial strategy, pricing design, financial analysis, AI/automation, and go-to-market (GTM) execution. If you’re a diligent, consistent worker with consulting prowess, love solving hard problems, and aspire to build the EV ecosystem of tomorrow, this role is your launchpad. Location: Bengaluru Experience: 1 – 2 years (minimum) Education: Bachelor’s degree from a Tier-1 engineering institutes; candidates with CFA/ CA plus tech/ quantitative backgrounds will also be considered favourably Key Responsibilities Financial Strategy & Pricing Build and evolve pricing structures for B2B and B2C business lines (across 2W, 3W, loaders) Analyse cost stacks, identify revenue leakages, and drive margin optimization Develop financial models to assess ROI on new initiatives and commercial pilots Strategic Initiatives Own and drive company-wide projects – from GTM strategy, next-year business planning, to investor decks and market intel updates Structure ambiguous problems and create frameworks for decision-making at leadership level Collaborate with cross-functional teams (Sales, Ops, Network, BD) to drive execution Data, AI & Automation Experiment with tools (e.g., GPT agents, Excel macros, PowerBI) to simplify execution Explore agent-based workflows to improve internal productivity and external CX Lead automation/AI-first workflows for operational & pricing dashboards What We’re Looking For Must-Haves 1+ years of experience in a startup / founder’s office, corp strategy, consulting and/or business finance Strong command of Excel and financial modelling; fluent in PowerPoint for CXO-level storytelling Exceptional problem-solving skills with structured thinking and data-first mindset Demonstrated ability to work hard, own outcomes, and work through ambiguity Good-to-Haves Experience in EV / clean tech / mobility / infra sectors Exposure to GenAI tools, automation workflows or scripting Passion for sustainability and India's energy transition Who You Are Sharp: You know how to deconstruct complex problems and solve them independently Coachable: You’re coachable and enjoy learning faster than your peers Hungry: You want to grow fast and are willing to roll up your sleeves to make it happen Mission-Driven: You care about green mobility, decarbonization and building India's future Why Indofast? At Indofast, we aim to make electric vehicles affordable and accessible to all. We believe electric vehicles are the future of mobility, and we strive to accelerate their adoption with our innovative battery swapping solutions. These solutions are interoperable across various vehicle platforms and form factors, making them future-proof, sustainable, and highly scalable. Joining us means being part of a front-row seat in India's EV journey. You'll get to: Work directly with ex-consultants, folk from top tier colleges, who are passionate, hardworking Solve problems that impact millions Build products and strategies at the bleeding edge of energy-tech and mobility

Job description: Data Scientist Specialist (NLP, LLM, and GenAI) Roles and responsibilities: • Collaborate with Product, Data, and Technology teams to design and create a suite of new microservices powered by AI • Work alongside a team of data scientists in applying state-of-the-art LLMs from OpenAI, Anthropic, Meta, and Mistral • Create NLP pipelines for Named Entity Recognition and Entity Resolution • Assess the quality and robustness of your solutions and iterate to optimize performance • Apply best practices of MLOps / LLMOps in deploying new products and services to production We expect you to have: • 7+ years processing structured and unstructured data using NLP • 1+ years applying LLMs and RAG to solve real-world, industry problems • Solid understanding of NLP and related concepts such as vectorization, entity resolution, string similarity, and semantic search • Python experience is required, AWS/ FastAPI / Gradio / Docker and LLM fine-tuning is a plus • Cloud and systems experience in AWS S3/EC2, Databricks, and linux • Solid understanding of Git or other version control software • Passionate about Generative AI, consistently tracking the latest industry developments • Strong organizational and communication skills, both verbal and written • Ambitious and enthusiastic about working in a fast-paced, startup style environment • Bachelor's degree in computer science, Computer Engineering, or related discipline. Masters preferred. It would be phenomenal if you: • Have previous experience crafting financial data products. • Have strong aptitude and/or interest in financial markets

Description - External Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibilities: Lead and manage a team of data scientists, fostering a collaborative and innovative environment Oversee the design and development of predictive models and machine learning algorithms Collaborate with business stakeholders to understand and define their data needs Translate business problems into data-driven solutions, presenting complex results in a clear and actionable manner Monitor model performance and continuously improve the accuracy of predictions and insights Maintain up-to-date knowledge of the latest data science trends and technologies, implementing new methodologies as appropriate Promote data literacy throughout the organization, educating staff on how to use data to drive decision-making Ensure data integrity and compliance with privacy regulations Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Role & responsibilities Required Qualifications: Bachelor of Engineering or equivalent 10+ years of total experience Coding : Python, pandas, numpy Math behind ML and DL algorithms Basics of Statistics ML and DL concepts Preferred Qualification: Exposure GenAI and LLMs Preferred candidate profile Perks and benefits

JD: Responsibilities: Strong understanding of ML algorithms, techniques, and best practices. Strong understanding of Databricks, Azure AI services and other ML platforms and cloud computing platforms (e.g., AWS, Azure, GCP) and frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Strong understanding of Mlflow or Kubeflow frameworks Strong programming skills in python and Data analytical expertise Experience in building Gen AI based solutions like chatbots using RAG approaches Expertise in any of the gen ai frameworks such as Langchain/ Langgraph, autogen, crewai, etc. Requirements: Proven experience as a Machine Learning Engineer, Data Scientist, or similar role, with a focus on product matching, image matching, and LLM. Solid understanding of machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Hands-on experience with product matching algorithms and image recognition techniques. Experience with natural language processing and large language models (LLMs) such as GPT, BERT, or similar architectures. Optimize and fine-tune models for performance and scalability. Collaborate with cross-functional teams to integrate ML solutions into products. Stay updated with the latest advancements in AI and machine learning. Role & responsibilities Preferred candidate profile

Job Title: Senior Solution Architect Location : Bengaluru (WFO) Architectural Leadership: Serve as the Azure Solution Architect with specific sector knowledge, setting the direction for cloud architecture and ensuring alignment with the organization's technical strategy and O&G industry standards . Uphold industry best practices and standards specific to the O&G sector . Technology Roadmap: Construct and continuously update an Azure-focused technology roadmap, aligning with the organization's long-term goals. Explore and identify cutting-edge Azure services and features that can propel technological advancement. Strategically plan and implement upgrades to bolster the organization's competitive position and enhance the scalability of Azure-based solutions. Solution Design: Take the lead in design and architecture complex Azure solutions , with a strong focus on ensuring scalability, robust security, and cost-effectiveness and alignment with nuanced demands of the O&G industry. Stakeholder Engagement: Work in tandem with various service lines, such as engineering divisions and business stakeholders, to align Azure architectural strategies with the core business objectives and ensure the designs are in sync with the business's forward direction. Possess the ability to effectively communicate Azure technical strategies to non-technical stakeholders, thereby facilitating their participation in informed decision-making. Mentorship and Guidance: Offer Azure technical leadership and mentorship to solution squads. an environment of innovation, continuous improvement, and technical prowess across the organization. Cultivate Compliance and Best Practices: Guarantee Azure solutions meet regulatory demands and O&G-specific standards, including those related to safety, environment, and operations. Risk Assessment: Proactively identify and assess technical risks linked with Azure infrastructure and applications. Collaborate with multifaceted teams to formulate and implement measures to alleviate the detected risks. As a Solution Architect, it is crucial to pinpoint potential risks during the solution development phase and devise comprehensive risk mitigation plans for all solutions crafted. Industry Expertise: Stay informed about emerging technologies, trends, and standards in the oil and gas industry. Evaluate the potential impact of new technologies and provide recommendations for adoption both in upcoming solution designs as well as enhancement of solution architectures. Vendor Management: Engage with external vendors and technology associates to scrutinize third-party offerings compatible with Azure. Integrate these third-party solutions effortlessly, ensuring they complement and reinforce the broader Azure architectural strategy and the business objectives. Masters (or) Bachelor’s degree in Computer Science, Engineering, or Information Technology or a related field (or equivalent experience). Over all 8+ years of experience required for Solution Architect 8+ years of prior experience as a solution architect, preferably in the oil and gas industry or 8+ years of prior experience as a software engineer or similar role. Extensive experience in the oil and gas sector, including knowledge of industry-specific challenges and opportunities. Technical Expertise: Strong experience should have an in-depth understanding of Azure services and architecture, including IaaS, PaaS, and SaaS solutions. They should be adept at designing and implementing complex cloud infrastructure, ensuring scalability, reliability, and security. Also, strong experience in multi-cloud environments like AWS, GCP and their application migrations and management in O&G specifically. Advanced Problem-Solving: They must possess strong analytical skills to troubleshoot and resolve high-level technical issues. This includes the ability to perform root cause analysis and implement long-term solutions to prevent recurrence. Strategic Planning: The architect should be capable of developing strategic plans for cloud adoption and migration, aligning with the organization's goals. They should be able to evaluate and recommend new technologies and approaches to drive continuous improvement. Communication Skills: Excellent communication skills are essential for translating technical concepts to non-technical stakeholders, facilitating clear and effective discussions between cross-functional teams, and presenting proposals and progress reports to senior management. Client Engagement: Capable to work closely with clients (internal clients) to understand their business requirements and constraints, ensuring that the cloud solutions designed meet their needs and expectations. Innovation: With extensive experience, they should be at the forefront of innovation, exploring new cloud technologies and methodologies, and integrating them into the organization's practices to gain competitive advantage. Leadership and Mentorship: As a seasoned leader, the Senior Solution Architect should set the technical direction and make pivotal decisions that define the organization's cloud strategy, while also serving as a mentor to uplift junior architects and engineers. They must lead by example, inspiring teams through complex initiatives and fostering professional growth by imparting knowledge, best practices, and constructive feedback to nurture the next generation of technical experts. Must have Master’s or Bachelor’s degree in computer science engineering or information technology or Relevant field. Relevant certifications such as Microsoft Certified: Azure Solutions Architect Expert or similar. Microsoft AZ900 Certification & AZ 305 Certification TOGAF or ArchiMate or Zachman or equivalent architecture frameworks experience Experience in automation using Python, Gen AI, AI Ops, etc. Experience with data integration, data warehousing, and big data technologies. Experience with containerization and orchestration tools (e.g., any 2 of following: Docker, OpenShift, Kubernetes, ECS, GKE, AKS, EKS, Rancher, Apache Mesos, Nomad, Docker Swarm, Kubernetes). Understanding of the O&G sector's operational workflows, including the intricacies of exploration, extraction, refining, and distribution activities, to tailor cloud-based solutions that complement the industry's unique needs. Competence in tackling technical hurdles specific to the O&G domain, such as efficient asset management in isolated areas, processing extensive seismic datasets, and ensuring compliance with strict regulatory frameworks. Proficiency in leveraging Azure cloud technologies to enhance the O&G Industry's operational effectiveness, utilizing tools like IoT, advanced data analytics, and machine learning for better results Experience with CI/CD pipelines and automated testing frameworks (e.g. CircleCI, Jenkins, TeamCity, Travis CI, Bamboo, Bitbucket, etc.) Strong interpersonal skills with the ability to engage effectively with both technical and non-technical stakeholders. Role & responsibilities Preferred candidate profile

Key Responsibilities: LLM Integration & Development: Build and fine-tune LLMs for task-specific applications using techniques like prompt engineering, retrieval-augmented generation (RAG), fine-tuning, and model adaptation. AI Agent Engineering: Design, develop, and orchestrate AI agents capable of reasoning, planning, tool use (e.g., APIs, plugins), and autonomous execution for user-defined goals. GenAI Use Case Implementation: Deliver GenAI-powered solutions such as chatbots, summarizers, document Q&A systems, assistants, and co-pilot tools using frameworks like LangChain or LlamaIndex. System Integration: Connect LLM-based agents to external tools, APIs, databases, and knowledge sources for real-time, contextualized task execution. Performance Tuning: Optimize model performance, cost-efficiency, safety, and latency using caching, batching, evaluation tools, and monitoring systems. Collaboration & Documentation: Work closely with AI researchers, product teams, and engineers to iterate quickly. Maintain well-structured, reusable, and documented codebases. Required Qualifications: 35 years of experience in AI/ML, with at least 12 years hands-on with GenAI or LLMs. Strong Python development skills and experience with ML frameworks (e.g., Hugging Face, LangChain, OpenAI API, Transformers). Familiarity with LLM orchestration, vector databases (e.g., FAISS, Pinecone, Weaviate), and embedding models. Understanding of prompt engineering, agent architectures, and conversational AI flows. Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or related field. Preferred Qualifications: Experience deploying AI systems in cloud environments (AWS/GCP/Azure) or with containerized setups (Docker/Kubernetes). Familiarity with open-source LLMs (LLaMA, Mistral, Mixtral, etc.) and open-weight tuning methods (LoRA, QLoRA). Exposure to RAG pipelines, autonomous agents (e.g., Auto-GPT, BabyAGI), and multi-agent systems. Knowledge of model safety, evaluation, and compliance standards in GenAI.

Key Responsibilities: LLM Integration & Development: Build and fine-tune LLMs for task-specific applications using techniques like prompt engineering, retrieval-augmented generation (RAG), fine-tuning, and model adaptation. AI Agent Engineering: Design, develop, and orchestrate AI agents capable of reasoning, planning, tool use (e.g., APIs, plugins), and autonomous execution for user-defined goals. GenAI Use Case Implementation: Deliver GenAI-powered solutions such as chatbots, summarizers, document Q&A systems, assistants, and co-pilot tools using frameworks like LangChain or LlamaIndex. System Integration: Connect LLM-based agents to external tools, APIs, databases, and knowledge sources for real-time, contextualized task execution. Performance Tuning: Optimize model performance, cost-efficiency, safety, and latency using caching, batching, evaluation tools, and monitoring systems. Collaboration & Documentation: Work closely with AI researchers, product teams, and engineers to iterate quickly. Maintain well-structured, reusable, and documented codebases. Required Qualifications: 35 years of experience in AI/ML, with at least 12 years hands-on with GenAI or LLMs. Strong Python development skills and experience with ML frameworks (e.g., Hugging Face, LangChain, OpenAI API, Transformers). Familiarity with LLM orchestration, vector databases (e.g., FAISS, Pinecone, Weaviate), and embedding models. Understanding of prompt engineering, agent architectures, and conversational AI flows. Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or related field. Preferred Qualifications: Experience deploying AI systems in cloud environments (AWS/GCP/Azure) or with containerized setups (Docker/Kubernetes). Familiarity with open-source LLMs (LLaMA, Mistral, Mixtral, etc.) and open-weight tuning methods (LoRA, QLoRA). Exposure to RAG pipelines, autonomous agents (e.g., Auto-GPT, BabyAGI), and multi-agent systems. Knowledge of model safety, evaluation, and compliance standards in GenAI.