633 Gen Ai Jobs - Page 24

Hello, Urgent job openings for Data Science(Gen AI & LLM) :- Team Lead/ Sr Engineer @ GlobalData(Hyd). Looking for candidates with experience in Gen AI, LLM, RAG frameworks Job Description given below please go through to understand the 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) - Lead/SSE @ GlobalData(Hyd) Share your details in the mail :- Full Name : Mobile # : Qualification : Company Name : Designation : Total Work Experience Years : Current CTC : Expected CTC : Notice Period : Current Location/willing to relocate to Hyd? : Office Address : 3rd Floor, Jyoti Pinnacle Building, Opp to Prestige IVY League Appt, Kondapur Road, Hyderabad, Telangana-500081. Job Description: Senior Engineer/Lead - Gen AI/LLM Position Overview:- We are seeking a talented Lead/Senior Engineer AI/LLM Developer to join our team and drive the development of cutting-edge artificial intelligence solutions using large language models. In this role, you will design, build, and optimize LLM-based applications that solve complex business problems while maintaining high standards of performance, scalability, and reliability. Key Responsibilities:- Design and implement sophisticated AI applications leveraging state-of-the-art LLM technologies Develop efficient solutions for LLM integration, fine-tuning, and deployment Optimize model performance, latency, and resource utilization Build and maintain robust data pipelines for training and inference Implement advanced prompt engineering techniques and retrieval-augmented generation (RAG) Develop evaluation frameworks to measure AI system performance and output quality Collaborate with cross-functional teams to understand requirements and deliver solutions Mentor junior developers and share AI/LLM knowledge across the organization Participate in code reviews and ensure adherence to best practices Role Requirement :- 5+ years of software development experience with at least 3 years focused on AI/ML technologies Strong experience working with transformer-based models and LLM APIs Proficiency in Python and relevant AI/ML frameworks (PyTorch, TensorFlow, Hugging Face) Experience with vector databases and semantic search technologies Solid understanding of prompt engineering, RAG, and fine-tuning techniques Familiarity with cloud platforms (AWS, Azure, GCP) for AI model deployment Strong problem-solving skills and attention to detail.' Experience with LLM optimization techniques like quantization and distillation Knowledge of AI evaluation metrics and benchmarking methodologies Understanding of multimodal AI systems (text, image, audio) Experience with containerization and orchestration tools (Docker, Kubernetes) Contributions to open-source AI projects or research publications Familiarity with AI ethics and responsible AI development Qualifications:- Bachelors degree in computer science, AI, Machine Learning, or related field Master's in AI, B,Tech,MCA, or related field Thanks & Regards, Salim (Human Resources)

Subject: Exciting Opportunity for Data Scientist- Face-to-Face Interview on 31st May at EY Hyderabad Office Dear Candidate, We hope this message finds you well! This is Nisha, Talent Acquisition Specialist at EY, and I am excited to inform you about an upcoming Hiring event for Data Science Role- at the EY Hyderabad Office . We are looking for talented professionals to join our team. Below are the details for the open positions: Position : Data Scientist Experience : 4-8 years Location : Hyderabad Interview Mode : Face-to-face interview at the EY Hyderabad office Interview Date : 31st May 2025 If you are interested in applying, please use the following link to apply for the role: Career Opportunities: EY - GDS Consulting - AI and DATA -Gen AI - Senior (1606310) Additionally, please share the following details in the format provided below: Years of Experience Current Compensation Relevant Experience in : GEN AI, LLM, NLP, Python, AI Solution, AI ,ML Expected Compensation Notice Period/ If your serving notice period mention last working day Will you be available to attend interview on 31st May at Hyderabad Office Yes / No Please confirm your availability for the interview by replying to Nisha.V@gds.ey.com with the requested details and updated resume. We look forward to discussing your potential with EY! Best Regards, Nisha Lead Executive

Role: Gen AI Engineer Employment Type: FTE with Dimiour Work Location: Remote Shift Timings: General Day Shift IST Time Zone Experience Required: 5+ Years GenAI Engineers 5+ years of experts who are proficient in Python and familiar with AI/Gen AI frameworks. Experience with data manipulation libraries like Pandas and NumPy is crucial. • Specific expertise in implementing and managing large language models (LLMs) is a must. • Fast API experience for API development • A solid grasp of software engineering principles, including version control (Git), continuous integration and continuous deployment (CI/CD) practices, and automated testing, is required. Experience in MLOps, ML engineering, and Data Science, with a proven track record of developing and maintaining AI solutions, is essential. • proficiency in DevOps tools such as Docker, Kubernetes, Jenkins, and Terraform, along with advanced CI/CD practices Preferred candidate profile Immediate - 15days

Job description MLOps Engineer Bangalore (work at office) 5+ Years experience relevant in MLOPs Mandatory Skills: Strong proficiency in Generative AI, Large Language Models (LLMs), deep learning, agentic frameworks, and RAG setup. Experience in designing and implementing machine learning models using scikit-learn and TensorFlow. Hands-on expertise with AI/ML frameworks such as Hugging Face, LangChain, LangGraph, and PyTorch. Cloud AI services experience, particularly in AWS SageMaker and AWS Bedrock. MLOps & DevOps: Knowledge of data pipeline setup, Apache Airflow, CI/CD, and containerization (Docker, Kubernetes). API Development: Ability to develop and maintain APIs following RESTful principles. Technical proficiency in Elastic, Python, YAML, and system integrations. Nice to Have: Experience with Observability, Ansible, Terraform, Git, Microservices, AIOps, and scripting in Python. Familiarity with AI cloud services such as Azure OpenAI and Google Vertex AI.

Job Description: Backend Developer (Node JS, Python, NLP, Gen AI) We are seeking highly skilled Sr. Backend Developer with an experience of 10 + Years to join our dynamic team. The ideal candidates should have strong expertise in Node.js , along with experience in Python, Generative AI (Gen AI), and Natural Language Processing (NLP) preferred. Additionally, experience working with MongoDB, AWS Lambda, and cloud-based deployments is required. Key Responsibilities: • Design, develop, and maintain scalable applications using Node.js and Python. • Implement and optimize NLP models and Gen AI solutions for various applications. • Develop and manage RESTful APIs and microservices using Node.js. • Work with MongoDB for database management and optimization. • Deploy and manage applications in AWS Lambda and other AWS services. • Collaborate with cross-functional teams to integrate AI-driven solutions into the platform. • Troubleshoot and debug applications, ensuring high availability and reliability. Required Skills & Experience: • 10 + years of hands-on experience in Backend Development using Node Js. • Strong proficiency in Python, especially in AI/ML frameworks (TensorFlow, PyTorch, etc.). • Experience working with Natural Language Processing (NLP) or Generative AI models. • Proficiency in MongoDB, including database design and performance tuning. • Hands-on experience with AWS Lambda and serverless architectures. • Strong knowledge of REST APIs, GraphQL, and microservices. • Experience with Docker, Kubernetes, and CI/CD pipelines is a plus. • Ability to work in an Agile environment and collaborate with remote teams.

Overview The Gen AI engineer will be part of a team which designs, builds, and operates the AI services of Siemens Healthineers (SHS). The ideal candidate for this role will have experience with AI services. The role will require the candidate to develop and maintain artificial intelligence systems and applications that help businesses and organizations solve complex problems. The role also requires expertise in machine learning, deep learning, natural language processing, computer vision, and other AI technologies. Task and Responsibilities: Generative AI Engineer is responsible for designing, architecting, and development of AI product/service. The main responsibilities include: Designing, developing, and deploying Azure-based AI solutions, including machine learning models, cognitive services, and data analytics solutions. Collaborating with cross-functional teams, such as data scientists, business analysts, and developers, to design and implement AI solutions that meet business requirements. Building and training machine learning models using Azure Machine Learning, and tuning models for optimal performance. Developing and deploying custom AI models using Azure Cognitive Services, such as speech recognition, language understanding, and computer vision. Creating data pipelines to collect, process, and prepare data for analysis and modeling using Azure data services, such as Azure Data Factory and Azure Databricks. Implementing data analytics solutions using Azure Synapse Analytics or other Azure data services. Deploying and managing Azure services and resources using Azure DevOps or other deployment tools. Monitoring and troubleshooting deployed solutions to ensure optimal performance and reliability. Ensuring compliance with security and regulatory requirements related to AI solutions. Staying up-to-date with the latest Azure AI technologies and industry developments, and sharing knowledge and best practices with the team. Qualifications: Overall 5+ years combined experience in IT and recent 3 years as AI engineer. Bachelor's or master's degree in computer science, information technology, or a related field. Experience in designing, developing, and delivering successful AI Services. Experience with cloud computing technologies, such Azure. Relevant industry certifications, such as Microsoft Certified: Azure AI Engineer, Azure Solution Architect etc. is a plus. Excellent written and verbal communication skills to collaborate with cross-functional teams and communicate technical information to non-technical stakeholders. Technical skills Proficiency in programming languages: You should be proficient in programming language such as Python and R. Experience of Azure AI services: You should have experience with Azure AI services such as Azure Machine Learning, Azure Cognitive Services, and Azure Databricks. Data handling and processing: You should be proficient in data handling and processing techniques such as data cleaning, data normalization, and feature extraction. Knowledge of SQL, NoSQL, and big data technologies such as Hadoop and Spark are also beneficial. Experience with Cloud platform: You should have a good understanding of cloud computing concepts and experience working with Azure services such as containers, Kubernetes, Web Apps, Azure Front Door, CDN, Web Application firewalls etc. DevOps and CI/CD: You should be familiar with DevOps practices and CI/CD pipelines. This includes tools such as Azure DevOps & Git. Security and compliance: You should be aware of security and compliance considerations when building and deploying AI models in the cloud. This includes knowledge of Azure security services, compliance frameworks such as HIPAA and GDPR, and best practices for securing data and applications in the cloud. Machine learning algorithms and frameworks: Knowledge of machine learning algorithms and frameworks such as TensorFlow, Keras, PyTorch, and Scikit-learn is a plus.

JOB DESCRIPTION: We are looking for a research manager wholl oversee the development of our AI cybersecurity technologies such as mis/dis/mal-information detection/countermeasures, cognitive security, Security by/for AI. The manager also needs to be able to build an ecosystem that works with multiple user organizations and drive efforts to demonstrate the effectiveness of the developed technologies. We value individuals with a vision to pick up new knowledge, see through complex scenarios and arrive at simple, elegant yet workable solutions. A self-driven nature, creativity, strong communication skills, and attention to detail, are traits of a successful researcher in this role. Your role will involve the following: Conducting research on one or more of the following technologies: 1. Mis/dis/mal-information detection/countermeasure 2. Cognitive security 3. Security by/for AI Promoting and implementing trials with user organizations utilizing developed technologies in cooperation with internal and external divisions Conducting experiments and data analysis to evaluate the effectiveness of research findings on simulations and real applications Publishing findings in renowned scientific journals and conferences, while also showcasing achievements through presentations at invited talks, conferences, and workshops Integrating various stages of technologies, from early stage in-house-developed to commercially available software, to realize impactful solutions Fostering collaboration across interdisciplinary teams, including esteemed professors, to propel research endeavors forward Managing and leading a team including 4-5 researchers REQUIRED SKILLS: Ph.D. or similar post-graduate qualification in computer science or related field or equivalent research Proven experience in Machine Learning, Artificial Intelligence, Deep Learning models, especially Generative AI (Hands-on experience with Large Language Models or Diffusion Models advantage) A passion for cyber security and Anti-disinformation Proficiency in Python/PyTorch and popular data science libraries Good research track record and publications in top-tier conferences and journals Experience in leading research collaboration projects with tangible outcomes. Able to propose research topics by exploring potential future business opportunities. Excellent oral and written communication skills. Experience (>3 years) in managing a research team Experience in rapid prototyping and testing methodologies to validate the functionality and performance of developed solutions Experience in integrating multiple technologies from multiple research domains, including AI, security and network Designing and prototyping applications combining a variety of tools and platforms Experience in machine learning programming written in Python and/or web frontend programming written in TypeScript Experience in interdisciplinary research collaborations

Role & responsibilities As an AI lead specializing in Generative AI, and Machine Learning Engineering (MLE), you will be at the forefront of AI innovation. Your role will involve designing, deploying, and operationalizing sophisticated modelsincluding large language models (LLMs)—to solve complex business problems. You will work closely with cross-functional teams to create scalable, production-ready AI solutions that drive intelligent automation and creativity across industries. Your Key Responsibilities: Generative AI, NLP & MLE: Design, develop, deploy, and scale advanced applications using Generative AI models (e.g., GPT, LLaMA, Mistral), NLP techniques, and MLE/MLOps best practices to solve business challenges and unlock new opportunities. Model Customization & Fine-Tuning: Apply techniques such as LoRA, PEFT, and fine-tuning of LLMs to build domain-specific models aligned with business use cases, with a focus on making them deployable in real-world environments. ML Engineering & Deployment: Implement end-to-end ML pipelines—including data preprocessing, model training, versioning, testing, and deployment—using tools like MLflow, Docker, Kubernetes, and CI/CD practices. Innovative Problem Solving: Leverage cutting-edge AI and ML methodologies to solve practical business problems and deliver measurable results. Scalable AI Solutions: Ensure robust deployment, monitoring, and retraining of models in production environments, working closely with data engineering and platform teams. Data-Driven Insights: Conduct deep analysis of structured and unstructured data to uncover trends, guide decisions, and optimize AI models. Cross-Functional Collaboration: Partner with Consulting, Engineering, and Platform teams to integrate AI/ML solutions into broader architectures and business strategies. Client Engagement: Work directly with clients to understand requirements, present tailored AI solutions, and provide advisory on the adoption and operationalization of Generative AI and ML.

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

Job Description Requirement Name / Title GenAI Developer Work Location Chennai/ Bangalore/Pune/Kolkata Shift General Shift Mandatory Skills Gen AI, LLM, RAG, Lang chain, Mistral,Llama, Vector DB, Azure/GCP/ Lambda, Python, Tensorflow, Pytorch Preferred Skills GPT-4, NumPy, Pandas, Keras, Databricks, Pinecone/Chroma/Weaviate, Scale/Labelbox, Job Description / Roles & Responsibilities (in Detail) We are looking for a good Python Developer with Knowledge of Machine learning and deep learning framework. • Take care of entire prompt life cycle like prompt design, prompt template creation, prompt tuning/optimization for various GenAI base models • Design and develop prompts suiting project needs • Stakeholder management across business and domains as required for the projects • Evaluating base models and benchmarking performance • Implement prompt guardrails to prevent attacks like prompt injection, jailbreaking and prompt leaking • Develop, deploy and maintain auto prompt solutions • Design and implement minimum design standards for every use case involving prompt engineering • You will be responsible for training the machine learning and deep learning model. • Writing reusable, testable, and efficient code using Python • Design and implementation of low-latency, high-availability, and performant applications • Implementation of security and data protection • Integration of data storage solutions and API Gateways • Production change deployment and related support If you're interested or know someone who fits this role, feel free to reach out. WhatsApp: 9871530393 Email: shweta.gupta@sspearhead.com Warm Regards SHWETA GUPTA || Senior Recruitment Specialist Spearhead Professional Services Call/ WhatsApp: 9871530393 LinkedIn Profile: shwetagupta1810

Your responsibilities As a Senior ML Engineer, You will be expected to perform the following tasks and responsibilities in a manner consistent with CBA's Values and People Capabilities. Core Responsibilities: 1. Technical Skills: Lead the development of GenAI, AL ML applications and platforms Architect scalable AI ML solutions using modern tech stack Mentor junior developers and provide technical guidance 2. Full Stack Development: Design and develop end-to-end applications using Python, Django, Flask Create responsive and efficient front-end solutions Implement secure coding practices for financial applications 3. Development: Build and maintain GenAI ML applications end to end Implement full-stack solutions using Python/Django and flask Develop RESTful APIs and microservices 4. AI/ML Implementation: Support MLOps processes and model deployment Integrate AI models into applications Assist in AI solution optimization 5. Cloud Services: Work with AWS services (EC2, ECR, CloudWatch Implement containerization using Docker Support deployment and monitoring 6. Security Focus: Implement security best practice Assist in fraud detection implementation Follow financial security protocols 7. AI/ML Integration: Lead MLOps implementation and model deployment Oversee AI model integration into production systems Ensure AI solution security and performance 8. Cloud & DevOps: Design cloud architecture using AWS services Implement containerization strategies using Docker Manage CI/CD pipelines and deployment workflows 9. Security & Compliance: Implement fraud detection and prevention measures Ensure compliance with financial security standards Lead security reviews and risk assessments Your skills & Your Experience Required Skills & Experience: 7-10 years of software development experience Expert-level Python and Django & flask development Advanced AWS services knowledge Strong experience in GenAI application development Proven leadership in technical teams Deep understanding of financial security Technical Competencies: Advanced proficiency in IT Risk Assessment & Management Advanced Systems Management capabilities Sound consulting and critical analysis skills Strong negotiation and service partner management abilities People Capabilities: Customer Focus Team and Culture building Continuous Improvement mindset Effective Communication Strong Judgment Results-Driven approach Good to Have: Basic understanding of database concepts, SQL Domain experience in finance, banking, Insurance Good understanding of AI/ML concepts and GenAI foundations Your Qualifications Essential: A degree in Engineering / Computer Science or a related discipline Minimum 3 years of Experience in IT Industry, with hands on experience in ML Models development & Its maintenance & Data Science. Desirable: Specialties: Big Data, CI/CD, AWS /Cloud Services. Experience in Development (Coding, Testing) Additional industry or product certification Your Development If you live the values and demonstrate the people capabilities, we can offer great opportunities. Whether you want to move across the organisation or up into a leadership role, the ways you live the values and demonstrate the people capabilities are key to progressing. From this role, you could transition into other roles to broaden your technology coverage as part of developing yourself for more senior role either in same portfolio or different portfolio. Use the people and enterprise services capabilities required for this role as a guide to the critical skills and behaviours you need for your next move. Required Technical Skills Proficient in Python (Front end+Back end), Django, Flask; Development: Build and maintain GenAI ML applications end to end; Implement full stack solutions using Python/Django and flask; Develop RESTful APIs and microservices Hands-on experience with AWS Cloud Infrastructure. Full stack development expertise. Good understanding of AI/ML concepts and GenAI foundations Experience with Langchain. Strong DevOps skills. Database concepts, SQL; Domain experience in finance, banking, Insurance Strong communication skills. Open for candidates with 60-90days notice period Note: Require 100% Diversity profiles .

Your Team and Responsibilities You will lead a team of Engineers, Data Scientists and collaborate with Technology Product Owners that will be helping to build the platforms, tools and services provided by the Gen AI domain to our internal customers. These cross-capability teams reporting int chapters; will be spread across multiple squads delivering to effectively use our solutions through co-engineering on Gen AI Hub or Transformer Banking Experience. Youll have the opportunity to take responsibility people management, capability uplift, continuous improvement, ensuring our engineers and other discipline teams are inspired to do the work that matters! For the Prompt Engineering and Knowledge Engineering disciplines. Collaborate & Partner Collaborate with Technology Pos from different squads to accomplish Squad/Chapter goal. Cultivate key internal and external partnerships, wherever required. Act as a key liaison between the various support & cross functional teams across Australia & India Partner with Squads and/or COE leads to determine skillset and capability requirements to sustainably meet resourcing needs. Drive & Execute Strategy Elevate craft capabilities, strategically applying expertise across the portfolio to accelerate Gen AI delivery. Drive a Tech culture of continuous improvement (CI). Participate in planning, definition and high-level growth of peoples career; people movement across squads, assist Squads to identify the right technical skilled people. Have demonstrable software development experience. You are willing to learn and jump into the deep end of technical problems and dive into code Can demonstrate a thorough understanding of software design and software development lifecycle. Are familiar with emerging tech and methodologies. Lead & drive cultural change Bring a friendly and can-do attitude and teamwork and inspire others on culture change needed to build an Engineering Mindset and AI First Mindset. Lead a team and support the wider CBA India LT in developing a positive culture by demonstrating CBA values in your approach to your responsibilities. Drive a one team culture across engineers to manage competing priorities and share best practices Design and implement a framework for accredited learning pathways, reskilling and talent transformation for making the workforce worldclass Build a Strong academy for people to upskill and certify to become proficient in multiple technologies and capabilities Accountable for the development, performance management and career progression of a number of Technology roles e.g. Software and Systems Engineers Drive a Risk Mind-set: Build collaborative relationships with various stakeholders to ensure risks are identified early and managed in a timely manner. Role models exceptional risk behaviors and embeds a superior risk culture. Your skills & Your Experience Experienced leader with strong people management and stakeholder management capabilities and backgrounds e.g. Gen AI, AI, Platform Engineering, Architecture, Data Strong Leadership (including People Management), not just Project Management Have tech delivery expertise (i.e. an expert in tech that can also get tech delivery done) High level of communications and negotiation skills, including the demonstrated ability to solicit opinions and accept feedback. Experience in operating effectively as part of cross-functional teams. Proficiency in key capabilities IT SDLC processes, written documentation/ specification skills Have experience in Prompt Engineering / Gen AI Adoption/ Platform Engineering / Knowledge Engineering disciplines Exposure to tools/services/capabilities like: Cloud Solution Architecture/Development/Security/IaaC (AWS + Azure) Python / TypeScript / C# Gen AI frameworks & tools (e.g. Agentic FWs, Langchain, Semantic Kernel) Vector/Graph/SQL Databases Non-deterministic automated testing Machine Learning, including LLM fine-tuning System Reliability Engineering Secure Coding Customer engagement systems Workflow platforms Your Qualifications Education: Advanced degree in Computer Science, Engineering, Maths, Statistics, or related field Minimum of 15 years of experience in relevant field, with 5+ years of experience in core technology organization or Banking Proven track record of building and leading a team of engineering professionals. Excellent problem-solving skills and ability to identify creative solutions to complex problems. Strong cross-cultural communication skills and the ability to effectively manage collaboration across time zones. Required Technical Skills Solution Architect experience for GenAI. System design knowledge. Proficient in Python code review. Cloud Solution Architect - Experience with AWS (Certified ones are preferred) Exposure to GenAI, NLP, RAG, and ML engineering. The resource should have experience in leading and managing a team previously as they will have diect reportees in this role Must have a problem-solving attitude and strong leadership skills and should not have only project management experience End-to-end domain knowledge. Open for candidates with 60-90days notice period . Note: Require 100% Diversity profiles

Job Description & Responsibilities Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams. Qualification, Skills & Experience Good hands-on experience in Advanced Python Programming Experiences in scalable Microservice Architecture and Development Good understanding of API Development, Messaging Queues and Asynchronous Task Management Basic DevOp skills and working with Docker Experience with LangChain, LangGraph, AutoGen or CrewAI are a big plus Ability to co-work in a small team with different locations Ability to learn and understand a new Python framework

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

We are seeking a proficient AI/ML Engineer responsible for testing, deploying, and hosting various Large Language Models (LLMs). The role involves monitoring deployed agentic services, ensuring their optimal performance, and staying abreast of the latest advancements in AI technologies. Key Responsibilities: LLM Deployment & Hosting Evaluate, test, and deploy diverse LLMs on cloud-based and on-premise infrastructures. Optimize model performance for scalability and efficiency. Implement secure API endpoints and model-serving pipelines. Strong CI/CD skills and knowledge of CI/CD tools like Jenkins, GitHub Actions, CircleCI etc. Agentic AI Services Deploy and maintain AI agents using frameworks such as CrewAI, Agnos(Phi Data), AutoGen etc. Integrate LLMs into business workflows and automation tools. Design, monitor, and enhance agentic services for real-world applications. Monitoring & Optimization Utilize advanced observability tools to monitor model performance, latency, and cost efficiency. Implement tools like AgentOps, OpenLIT, Langfuse, and Langtrace for comprehensive monitoring and debugging of LLM applications. Develop logging, tracing, and alerting systems for deployed models and AI agents. Conduct A/B testing and gather user feedback to refine AI behavior. Address model drift and retrain models as necessary. Best Practices & Research Stay updated with the latest advancements in AI, LLMs, and agentic systems. Implement best practices for prompt engineering, reinforcement learning from human feedback (RLHF), and fine-tuning methodologies. Optimize compute costs and infrastructure usage for AI applications. Collaborate with researchers and ML engineers to integrate state-of-the-art AI techniques. Strong knowledge on version control tools like GitHub Qualifications & Skills: Proficiency with LLM frameworks such as Hugging Face Transformers, OpenAI API, or Meta AI models. Strong programming skills in Python and experience with deep learning libraries (PyTorch, TensorFlow, JAX). Experience with cloud platforms (AWS, Azure, GCP) and model deployment tools (Docker, Kubernetes, FastAPI, Ray Serve). Familiarity with vector databases (FAISS, Pinecone, Weaviate) and retrieval-augmented generation (RAG) techniques. Hands-on experience with monitoring tools such as AgentOps, OpenLIT, Langfuse, and Langtrace. Understanding of prompt engineering, LLM fine-tuning, and agent-based automation. Excellent problem-solving skills and the ability to work in a dynamic AI research and deployment team. Preferred Qualifications: Experience in reinforcement learning, fine-tuning LLMs, or training custom models. Knowledge of security best practices for AI applications. Contributions to open-source AI/ML projects or research publications in the field.

Airflow-We are seeking a highly skilled and motivated GenAI Developer with 36 years of experience to work on cutting-edge Generative AI platforms. The ideal candidate will have strong programming expertise, experience working in multi-cloud environments, and hands-on exposure to MLOps tools and modern data engineering frameworks. Key Responsibilities: Design, develop, and deploy solutions using GenAI platforms Build and maintain scalable applications using Java, Python, and SpringAI Work in a poly-cloud environment across AWS, GCP, and Azure Collaborate with cross-functional teams to integrate AI solutions into existing workflows

The Thomson Reuters Financial transformation team instrumenting on implementing and delivering solution relating to digital finance strategies, enterprise performance strategies and technologies solutions. This position will play a key role as part of Performance Management projects, including tech driven transformation with tools like OneStream. About the Role: In this opportunity as EPM Architect (OneStream), you will: 10 -15 years working experience with Enterprise Performance Management Solutions implementation and delivery. Hands on experience in EPM tools: OneStream, Hyperion Experience of involvement in end-to-end implementation of OneStream platform with significant exposure to managing OneStream infrastructure. Design and architect optimal and scalable solutions. Responsible for managing OS Infrastructure (Environment Management, Application Performance) Work with internal team to ensure OS compliance with TR Security Standards (VPN connection, Encryption standards, Security Dashboards etc.) Ensure Application governance across OS environments like code management, artifact management etc. Drive automation initiatives related to above mentioned areas. Experience of data integration methodologies for connecting OneStream platform with other systems like Data Lake, SQL Server, S4 Hana, PowerBI etc. Must demonstrate exceptional analytical skills, and a passion for the insights that result from those analyses, together with a strong understanding of the data and collection processes needed to fuel that analysis. Must have a passion for serving others, work well in a team, be self-motivated, and be a problem-solver. Must have hands on experience of planning, forecasting and month end processes. Good to have Gen AI, Sensible ML knowledge. Power BI and other reporting experience. About you: You're a fit for the role of EPM Architect (OneStream) if your background includes: Leading Financial Planning and Performance Management projects, including tech driven transformation with tools like OneStream, Oracle EPM Lead solution design and development team. Lead ongoing management and optimization of OneStream platforms infrastructure with evolving business requirements. Will work with core OneStream project team during implementation of various processes on the platform Will provide technical knowledge and expertise in the areas of Security, System Integration and application performance management. Should lead the admin activities for OneStream upgradation patches hotfixes.

Role & responsibilities Main Skills : AI Archt (Solutions/Technical) - LLM/Gen AI + Any Cloud + Python 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 : Natural Language Processing (NLP) Roles & Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Develop applications and systems utilizing AI tools and Cloud AI services. - Apply GenAI models as part of the solution. - Implement deep learning and neural networks. - Create chatbots and work on image processing. - Collaborate with team members to provide innovative solutions. Professional & Technical Skills: - Must To Have Skills: Proficiency in Natural Language Processing (NLP). - Strong understanding of statistical analysis and machine learning algorithms. - Experience with data visualization tools such as Tableau or Power BI. - Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. - Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information: - The candidate should have a minimum of 2 years of experience in Natural Language Processing (NLP).

Deep Learning Frameworks: Familiarity with frameworks like TensorFlow, PyTorch, or Keras. Custom Model Training: Ability to fine-tune and train models on specific datasets, understand overfitting, and apply regularization techniques. Integration Skills: Proficiency in integrating AI functionalities into applications, web services, or mobile apps. Optimization: Knowledge of optimizing model performance and reducing latency for real-time applications. Version Control and Collaboration Tools: Proficiency with tools like Git, which are essential for collaborative development.

Location: Remote Programming Skills : Proficiency in programming languages such as Python, JS/NodeJS, and .NET Machine Learning Frameworks : Familiarity with ML frameworks and libraries such as TensorFlow, PyTorch, Keras, or Scikit-Learn. Experience in selecting and implementing appropriate algorithms for specific tasks is highly valuable. Data Handling and Processing : Experience with data manipulation and analysis using tools like Pandas or NumPy. Understanding how to preprocess data, handle unstructured data, and create datasets for training models is crucial. Deep Learning : Knowledge of deep learning concepts and architectures, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transformers, especially for tasks related to image recognition, natural language processing, and more. Software Development Practices : Familiarity with software development methodologies, version control systems (like Git), and DevOps principles to ensure smooth integration and deployment of AI models. Cloud Computing : Experience with cloud-based services and platforms (e.g., AWS, Google Cloud, Azure) that provide tools for machine learning and AI deployment. System Design : Ability to design scalable AI systems, including understanding architecture patterns, APIs, and microservices for integrating AI models into broader applications. Problem Solving : Strong analytical and problem-solving skills to identify the best AI solutions for various challenges and to troubleshoot issues that arise during implementation. Collaboration and Communication : Experience in working collaboratively with cross-functional teams, including data scientists, software engineers, and business stakeholders, to align AI solutions with business objectives. Hands-on Experience : 5-7+ years of technical implementation experience What would be great to have: Experience in the FinancialServices Industry and an understanding of relevant compliance standards and regulations. Certification in AI/ML or relevant technologies. Experience with reporting tools like Splunk, SSRS, Cognos, and Power BI

Primary Responsibilities: Model Deployment: Design, code, and implement software solutions that deploy GENAI models like RAG, Agentic workflows, AI agents into production environments, ensuring scalability and reliability Data Analysis: Investigate and analyze large-scale computing frameworks and data analysis systems to derive actionable insights Stakeholder Communication: Clearly present complex analytics results and concepts to leadership and internal stakeholders, facilitating informed decision-making Cloud Development: Develop and deploy robust data pipelines and machine learning models on cloud platforms such as Azure, AWS, GCP, and Databricks, ensuring optimal performance and security AI/ML Techniques: Employ advanced AI and ML techniques, including natural language processing (NLP), natural language understanding (NLU), semantic understanding, intent classification, computer vision, deep learning, and automatic speech recognition (ASR) Deep Learning Applications: Apply deep learning technologies to enable systems to visualize, learn, and respond to complex scenarios effectively. Interactive Experiences: Adapt machine learning methodologies for applications in artificial intelligence, robotics, and other interactive user experiences Model Observability: Utilize model observability tools to gain insights into the behavior, performance, and health of deployed ML models, including tracking, alerting, and compliance monitoring MLOps Skills: Implement best practices in machine learning operations (MLOps) to streamline workflows and enhance collaboration 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 Qualifications - External Required Qualifications: Bachelor of Engineering or equivalent degree 9+ years of total experience in AI/ML roles and data science Experience in establishing AI/ML best practices, standards, and ethics Basic knowledge of statistics and its application in data analysis Solid understanding of the mathematics behind machine learning (ML) and deep learning (DL) algorithms Proficiency in coding with Python, along with libraries such as pandas Proven solid grasp of machine learning and deep learning concepts and methodologies Preferred Qualifications: 2+ years of experience in developing and deploying GENAI models and agents, with familiarity in both cloud-native and cloud-agnostic environments Experience working within a healthcare or regulated industry, with a deep understanding of the unique challenges and compliance requirements Experience in mentoring and coaching AI/ML talent Experience working with cross-functional and distributed teams in a global and diverse environment Demonstrated leadership , people management , business and stake holder management and innovative problem solving skills Proven ability to work independently, manage multiple projects simultaneously, and adapt to changing priorities in a fast-paced environment Proven ability to track record of delivering high-impact AI/ML solutions for real-world problems and use cases

Job Title: Machine Learning Engineer (Computer Vision + GenAI) Location: Bangalore, India (Hybrid) Company: Factspan Analytics Client Industry: Retail / E-commerce About the Role We are looking for a highly skilled Machine Learning Engineer with a strong foundation in Computer Vision , NLP , and GenAI to join our team at Factspan. You'll work closely with a leading retail client to address a critical business challenge: identifying and resolving duplicate product listings across Marketplace and traditional sellers using AI-driven solutions. This role is central to helping the client clean up and scale their product catalog across 30+ categories, each with 10,000+ images. You'll be expected to build and productionize models that can intelligently compare product images and text descriptions to detect duplicates and inconsistencies, leveraging both traditional ML and the latest GenAI techniques. Key Responsibilities Build and deploy scalable Computer Vision pipelines to identify near-duplicate product images across millions of listings. Use Natural Language Processing to match product descriptions and titles with associated images. Leverage LLMs and multimodal GenAI models (e.g., BLIP, CLIP, LLaVA, Gemini, GPT-4V) to solve alignment problems between images and text. Design and implement MLOps and LLMOps pipelines for deploying both traditional ML models and GenAI solutions in production. Perform large-scale image embedding generation , storage, and similarity search using tools like FAISS , Milvus , or pgvector . Use BigQuery and write optimized SQL queries for data preprocessing and analytics. Collaborate with product managers, data engineers, and cloud architects to scale the solution across new product categories. Required Skills 6+ years of hands-on experience in Machine Learning or Data Science roles. Deep expertise in Computer Vision (image deduplication, embedding models, similarity search). Strong understanding of NLP with experience aligning image and text modalities. Exposure to Generative AI/LLMs and how they can be used in multimodal tasks. Experience deploying ML/GenAI models using MLOps/LLMOps best practices (CI/CD, monitoring, versioning). Proficient in Python , TensorFlow/PyTorch , OpenCV , and transformers libraries (e.g., Hugging Face). Familiarity with GCP ecosystem especially BigQuery , Cloud Storage , Vertex AI , Cloud Functions . Strong SQL skills and understanding of data pipelines. Previous experience growing from a Data Scientist role is highly desirable. Good to Have Hands-on with Vector Databases like Milvus, Pinecone, or pgvector. Knowledge of retrieval-augmented generation (RAG) pipelines for GenAI solutions. Familiarity with tools like LangChain , Unstructured.io , or Haystack . Understanding of image compression, image hashing, and perceptual similarity techniques. Why Join Us Work on a high-impact retail AI problem at enterprise scale. Collaborate with a forward-thinking client open to innovation. Join a team where your work directly translates to business value. Flexible hybrid working model in Bangalore with a passionate AI team. Ready to create innovative solutions with computer vision, NLP, and GenAI in retail? Apply now by sending your resume and cover letter to sathishkumar.arumugam@factspan.com.

HCL Hiring for Testing Engineer - Generative AI Project Experience-5 to 10 Years Notice Period- Immediate to 60 days Location-Noida/Chennai/Hyderabad About the Role: We are seeking a skilled and detail-oriented Testing Engineer to join our Generative AI project team. The ideal candidate will be responsible for ensuring the quality and reliability of our AI models and systems through rigorous testing and validation processes. Key Responsibilities: Develop and execute comprehensive test plans and test cases for Generative AI models and systems. Perform functional, integration, and regression testing to identify and resolve defects. Collaborate with AI engineers and data scientists to understand project requirements and design effective testing strategies. Automate test processes using appropriate tools and frameworks. Analyze test results, document findings, and work with the development team to implement corrective actions. Ensure compliance with industry standards and best practices for AI model testing. Continuously improve testing methodologies and processes to enhance the quality of AI outputs. Qualifications: Bachelor's degree in Computer Science, Engineering, or a related field. Proven experience in software testing, preferably in AI or machine learning projects. Strong understanding of AI concepts, including generative models such as GANs and VAEs. Proficiency in programming languages such as Python and familiarity with AI frameworks like TensorFlow and PyTorch. Experience with test automation tools and frameworks. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Preferred Skills: Experience with Natural Language Processing (NLP) and text generation projects. Knowledge of data management and synthetic data generation. Familiarity with cloud platforms and deployment of AI models.

Job description Job description Job Summary: We are looking for a results-driven and innovative Data Scientist with 46 years of experience in data analysis, machine learning, and product optimization. The ideal candidate will have a strong foundation in Python, SQL, and cloud services, along with practical exposure to GenAI, LLMs, and MLOps frameworks. You will be responsible for building scalable data pipelines, developing machine learning models, and solving real-world business problems with data-driven solutions. Key Responsibilities: Design and deploy LLM-powered solutions (e.g., RAG, LangChain, Vector DB) to enhance business processes. Build and fine-tune traditional ML models (Random Forest, Decision Trees) for predictive analytics. Optimize LLM performance using LoRA fine-tuning and post-training quantization. Develop and deploy containerized AI applications using Docker and FastAPI. Collaborate with agents like CrewAI and LangSmith to automate document processing and data extraction workflows. Implement Python & SQL-based ETL pipelines for real-time data ingestion. Design dashboards and KPI monitoring tools using Metabase to enable data-driven decision-making. Create data consumption triggers and automate reporting for international stakeholders. Moderate large-scale live virtual data science classes and provide operational support. Required Skills: Programming: Python, SQL, FastAPI ML & AI: Random Forest, Decision Trees, Clustering, PCA, DL, NLP, Transformers, Gen AI Frameworks/Tools: LangChain, MLflow, Kubeflow, CrewAI, LangSmith DevOps: Docker, Git Databases: MySQL, PostgreSQL, MongoDB Cloud: AWS (S3, EC2) Visualization: Metabase Other: Experience with LLM fine-tuning and quantization Role & responsibilitiesRole & responsibilities Preferred candidate profile

About the Role Were looking for a passionate AI Evangelist & Code Generation Expert to lead the adoption of AI-powered coding tools across our engineering teams. In this pivotal role, you’ll drive a transformation in how we build software—spanning new development, code refactoring, test generation, tech stack and microservice migration. You'll champion tools like Cursor AI, GitHub Copilot, and Windsurf AI, deliver impactful training, and demonstrate measurable gains in productivity and code quality. Experience applying AI in our domain is a strong plus. Key Responsibilities Champion AI-Powered Coding : Advocate the adoption of tools like Cursor AI, GitHub Copilot, and Windsurf AI across engineering teams, articulating their value and addressing resistance. Drive Training & Enablement : Design tailored training sessions, workshops, and resources to onboard developers at all levels and promote effective tool usage. Lead Adoption & Strategy : Build strategies to integrate AI tools into dev workflows, track adoption, and identify improvement areas. Set Standards & Best Practices : Establish clear usage guidelines ensuring code quality, security, and maintainability. Promote High-Impact Use Cases : Apply AI to areas like app development, code refactoring, tech stack migration, test generation, and microservice transformation. Measure ROI : Define and track metrics like dev velocity and bug reduction to demonstrate impact and adoption success. Provide Ongoing Support : Be the go-to expert for AI coding tools, offering mentorship, troubleshooting, and continuous guidance. Stay Ahead of the Curve : Monitor emerging AI technologies and recommend tools aligned with org goals. Collaborate with Engineering Leaders : Align AI strategy with overall tech objectives in partnership with managers and architects. Domain-Specific AI Use Case Exploration : Explore domain-specific AI opportunities beyond coding, such as Gen AI, NLP, computer vision, or document classification. Qualification & Functional Skills Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, or related fields. 5+ years of experience in software development with strong knowledge of SDLC, architecture, and testing practices. At least 1 year of hands-on experience with AI-powered coding tools like Cursor AI, GitHub Copilot, or Windsurf AI. Excellent communication and presentation skills; able to evangelize complex concepts to both technical and non-technical audiences. Proven ability to design and deliver impactful technical training sessions and workshops. Strong analytical mindset with the ability to measure and communicate technology impact. Comfortable working independently and collaboratively in a fast-paced, evolving environment. Passionate about emerging technologies, especially in the AI space. Proficient in code refactoring, software design principles, and modern dev tools and frameworks. Preferred : Experience applying AI in domains like Gen AI, classification, computer vision, or NLP. Preferred : Familiarity with cloud platforms (AWS, Azure, GCP) and microservices architecture.