1857 Openai Jobs - Page 45

Job Summary: Copilot Developer Experience - 2-5 yrs. Notice Period - Immediate Joiner- 15 days Location-Remote Contact: nikhil.vats@multiversetech.com We are seeking a skilled and innovative Copilot Developer to design, build, and maintain AI-powered solutions using Microsoft Copilot Studio. The ideal candidate will have a solid background in Microsoft Power Platform and Power Apps, experience integrating APIs and Azure services, and a keen interest in AI technologies such as Azure OpenAI and LLMs. Responsibilities: 1.Design , develop, and maintain solutions using Microsoft Copilot Studio, including both declarative and custom agents 2.Collaborate with business users to gather requirements and design tailored Copilot-based solutions 3.Serve as a business solutions architect, guiding the team with a unified approach to development 4.Develop and manage custom connectors to extend Copilot functionality 5.Integrate Microsoft Copilot with Power Platform solutions using Power Automate, Microsoft Teams, SharePoint, and other knowledge sources 6.Provide support and maintenance for existing solutions 7.Work with cross-functional teams to troubleshoot and resolve any issues Qualification: 1.Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field 2.Proven 3+experience with the Microsoft Power Platform 3.Strong experience integrating REST APIs, custom connectors, and Azure services 4.Familiarity with Copilot AI, Azure OpenAI, or similar AI-powered development tools and LLMs 5.Solid understanding of AI concepts and their practical implementation in business applications 6.Strong problem-solving skills and the ability to translate business needs into scalable technical solutions 7.Excellent communication and collaboration skills Show more Show less

Job Title : C# | Azure Functions | PaaS (4–5 Years Experience) 🌍 Open to Freelancers from Anywhere in the World (Remote) About the Role: We are looking for a proactive Backend Developer with 4–5 years of experience in building and maintaining C# backend services on Azure Functions (PaaS). You will work on enhancing existing APIs, integrating new AI features, and collaborating with frontend teams consuming these APIs. This project is purely serverless/PaaS based with no VM or IaaS involvement. The ideal candidate will have strong experience with Azure PaaS, Cosmos DB, and be comfortable working on existing codebases, enhancing functionality, and integrating AI-driven features using OpenAI APIs. Familiarity with Python for AI-related tasks is a plus This is a fully remote freelance opportunity open to professionals worldwide. Key Responsibilities: Develop, maintain, and enhance C# backend APIs using Azure Functions. Work extensively with Cosmos DB, ensuring optimal data access patterns and performance. Use Azurite and Cosmos DB Emulator for efficient local development. Collaborate with frontend teams to ensure seamless API integration. Implement and manage CI/CD pipelines using GitHub Actions or Azure DevOps. Maintain code quality, enforce best practices, and ensure security and scalability. Integrate OpenAI APIs to add AI-driven features into backend workflows (desirable). Utilize Python scripts for AI and automation tasks when needed (desirable). Participate in code reviews, technical discussions, and proactively suggest improvements. Follow agile methodologies and take ownership of deliverables Required Skills & Experience: 4–5 years of backend development experience with C# and the .NET Core / .NET 6+ ecosystem. Strong hands-on experience with Azure Functions and Azure PaaS services. Expertise in working with Cosmos DB, including development and performance tuning. Practical experience with Azurite and Cosmos DB Emulator for local development. Proficiency in RESTful API design, implementation, and optimization. Good understanding of Git workflows and experience with CI/CD automation. Strong problem-solving and debugging skills. Ability to read and enhance existing codebases, adding new business and AI features. Familiarity with OpenAI APIs for AI-based integrations (desirable). Working knowledge of Python for data processing or AI tasks (desirable). Excellent communication skills and ability to work independently in a remote setup. Educational Qualification: B.Tech in Computer Science or a related discipline. Show more Show less

Role Description Job Title: Lead Gen AI Architect Experience: 9–12 Years Location: PAN India (UST Offices) Mode of Work: Hybrid (3 days in office per week) Job Type: Full-Time Job Summary We are seeking a Lead Gen AI Architect to lead the design, development, and deployment of advanced AI and Generative AI solutions tailored to the real estate domain . This role combines deep technical expertise with strong architectural leadership and client-facing capabilities. You will collaborate closely with cross-functional teams and US-based clients, with a work schedule that includes overlap up to 12 AM IST . This is a hybrid role , requiring 3 days a week in-office at any UST location in India . Key Responsibilities Architect and implement end-to-end Generative AI solutions, preferably using OpenAI technologies. Design and build advanced NLP pipelines, including prompt engineering, Retrieval-Augmented Generation (RAG), and model fine-tuning. Develop and deploy AI Agents to support business automation and dynamic user interaction. Engage with internal teams and customers to gather requirements, present solutions, and ensure high-quality delivery. Guide and mentor development teams in writing scalable, maintainable Python code following best Machine Learning practices. Lead MLOps initiatives for efficient deployment and management of AI models. Collaborate with US-based teams, maintaining client interaction and delivery alignment during late hours (up to 12 AM IST). Mandatory Skills NLP & Generative AI Experience integrating GPT models (e.g., ChatGPT, GPT-4) Strong knowledge of Prompt Engineering Expertise in Retrieval-Augmented Generation (RAG) pipelines Model fine-tuning and performance optimization Experience building and deploying AI Agents using OpenAI or similar frameworks Programming Strong proficiency in Python Working knowledge of R (preferred) Machine Learning Hands-on experience with model development, training, validation, and optimization Experience deploying and scaling ML models in production environments Good-to-Have Skills API Development Experience with Dataiku Building and consuming RESTful APIs for AI model integration MLOps & Deployment Familiarity with MLflow, Docker, Kubernetes Data Engineering Proficiency in SQL, PySpark for data preparation and pipeline creation Data Visualization Experience with tools like Tableau or Power BI for stakeholder reporting Qualifications Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field 9–12 years of hands-on experience in AI/ML/Gen AI, with leadership roles in solution delivery Excellent verbal and written communication skills; confident in client-facing scenarios Experience or exposure to the real estate domain is an added advantage Why Join Us Lead innovation at the intersection of AI and real estate Work in a collaborative, impact-driven team environment Contribute to the development of scalable, real-world AI applications Enjoy a flexible and supportive hybrid work culture Skills Machine Learning,Natural Language Processing,GenAI,SQL Show more Show less

We are looking for a creative and driven AI/ML Engineer to design, develop, and deploy advanced machine learning models. You will work on transformers (e.g., GPT , BERT ), OpenAI models, and other deep learning solutions for real-world applications. If you're ready to push boundaries in AI, we want to hear from you! Experience Required: Minimum 1 Year Mode of Work: On-Site Only (Mohali, Punjab) Contact for Queries: +91-9872993778 (Mon–Fri, 11 AM – 6 PM) Note: This number will be unavailable on weekends and public holidays. Key Responsibilities: Develop LLMs (e.g., GPT , BERT ) for NLP tasks such as text generation, summarization, and language translation. Build and optimize deep learning models for Generative AI applications in areas such as image , text , and speech generation . Apply reinforcement learning , unsupervised learning , and semi-supervised learning techniques to enhance model performance. Experiment with cutting-edge models such as GANs , diffusion models , and OpenAI models for generative tasks and advancements in AI. Collaborate with cross-functional teams to integrate AI/ML solutions into production using cloud platforms (e.g., AWS , GCP , Azure ). Stay up-to-date with the latest advancements in AI/ML, including emerging trends in NLP , transformers , and generative models . Handle large-scale datasets, performing data preprocessing , feature engineering , and model evaluation to ensure high-quality solutions. Present your findings and innovative solutions to both technical and non-technical audiences. Requirements: Degree in Computer Science , Data Science , Machine Learning , or a related field. Proven experience in building and deploying AI/ML models , with a strong foundation in deep learning and machine learning techniques. Proficiency in programming languages such as Python . Expertise in LLMs (e.g., GPT , BERT ) and transformer architectures . Experience with OpenAI APIs and models (e.g., GPT3 , GPT4 , GPT4o , ). Hands-on experience with deep learning frameworks like TensorFlow , PyTorch , Keras , and Scikit-learn . Solid knowledge of NLP , computer vision , and other key AI sub-domains . Experience deploying and scaling models on cloud platforms (AWS, GCP, Azure). Strong problem-solving and analytical thinking skills. Preferred Qualifications: Hands-on experience with Generative AI models (e.g., GANs , Diffusion Models ). Experience with real-time deployment of LLMs in applications such as chatbots , virtual assistants , and language translation . Familiarity with OpenAI's products, tools, and APIs. Experience with containerization (e.g., Docker ). Research publications or contributions to open-source AI projects are a plus. Experience : Minimum of 1 YEAR Experience. Mode of Work : On-site For queries, contact : +91 -9872993778 (Mon-Fri, 11 AM - 6 PM). Note :- This number will be unavailable on weekends and public holidays. Job Types: Full-time, Permanent Pay: From ₹20,000.00 per month Schedule: Monday to Friday Application Question(s): How many years of experience do you have as AI/ML Engineer Work Location: In person

Omega Healthcare Management Services Private Limited TAMIL NADU Posted On 05 Jun 2025 End Date 19 Jun 2025 Required Experience 5 - 8 Years Basic Section No. Of Openings 1 Grade T2 Designation Technology Specialist - Technology Closing Date 19 Jun 2025 Organisational Country IN State TAMIL NADU City CHENNAI Location Chennai-I Skills Skill SDLC PL/SQL SOLUTION ARCHITECTURE JAVA UNIX .NET SOA MICROSOFT SQL SERVER SQL ASP.NET Education Qualification No data available CERTIFICATION No data available Job Description Role : Data Scientist Educational Qualification : ME/BE / MCA Experience Required : 4+ Years Shifts : Day shift Skills & Responsibilities: Experience: 4+ years in machine learning, deep learning, or generative AI. Programming & Frameworks: Strong Python scripting with Pandas, NumPy, OOPs concepts. Experience with PyTorch, TensorFlow, Keras, Hugging Face Transformers. Proficiency in SQL queries when needed. Generative AI & NLP: Experience with LLMs, GANs, VAEs, Diffusion Models. Familiarity with OpenAI GPT, DALL·E, Stable Diffusion. Deep knowledge of NLP techniques & deep learning architectures (RNN, CNN, LSTM, GRU). Machine Learning & Statistics: Understanding of ML/DL algorithms, statistical analysis, and feature engineering. Theoretical knowledge of Random Forest, SVM, Boosting, Bagging, Regression (Linear & Logistic), and Unsupervised Learning. MLOps & Deployment: Familiarity with Cloud platforms (AWS, Azure, GCP). Experience in MLOps, CI/CD, Docker, Kubernetes. Comfortable with Linux systems and GPU-based deep learning. Research & Ethics: Contributions to AI research, open-source projects, or Kaggle competitions. Awareness of AI ethics, bias mitigation, and model interpretability. Soft Skills & Work Environment: Ability to work independently and deliver results. Experience in an agile development environment. Knowledge of computer vision is a plus.

What we're working on : We at Narrative are building AI QA for replace manual testing and to reduce regression. \ The role: Build and iterate on AI agents from concept to deployment Work directly with our core product team on agent architecture and capabilities Implement agent workflows, tool integrations, and decision-making logic Requirement Prior experience building AI agents is required Proficiency with Python and AI/ML libraries (OpenAI API, Anthropic, etc.) Knowledge of vector databases and RAG implementations Details Looking to start immediately Work from India as per IST \ Interview process: Quick chat about your previous agent work, show us what you've built, and if it's a good fit, we'll get you started right away. \ Fill the Google form to apply- https://forms.gle/WZ9QfFGfxjM57Hxf9 Show more Show less

Details As an AI-First AI/ML Engineer, you'll be architecting and deploying intelligent systems that leverage cutting-edge AI technologies including LangChain orchestration, autonomous AI agents, and robust AWS cloud infrastructure. We are seeking expertise in modern AI/ML frameworks, agentic systems, and scalable backend development using Node.js and Python. Your AI-powered engineering approach will create sophisticated machine learning solutions that drive autonomous decision-making and solve complex business challenges at enterprise scale. About You You are an AI/ML specialist who has fully embraced AI-first development methodologies, using advanced AI tools (e.g., Copilot, ChatGPT, Claude, CodeLlama) to accelerate your machine learning workflows. You're equally comfortable building LangChain orchestration pipelines, deploying Hugging Face models, developing autonomous AI agents, and architecting scalable AWS backend systems using Node.js and Python. You move FAST - capable of shipping complete, production-ready features within 1 week cycles. You are a proactive person and a go-getter, willing to go the extra mile. You understand that modern AI engineering means creating intelligent systems that can reason, learn, and act autonomously while maintaining reliability and performance. You thrive using TDD methods, MLOps practices, and Agile methodologies while focusing on finding elegant solutions to complex AI challenges. This is a hybrid role where you'll be spending your time across 4 core functions: Internal Projects (25%) - Building and maintaining OneSeven's internal AI tools and platforms Sales Engineering (25%) - Supporting sales team with technical demos, proof-of-concepts, and client presentations AI-First Engineering and Innovation Sprints (25%) - Rapid prototyping and innovation on cutting-edge AI technologies Forward Deployed Engineering (25%) - Working directly with clients on-site or embedded in their teams to deliver solutions Qualifications Technical Requirements Core AI/ML Skills 4+ years AI/ML development experience with production deployment Fluent English required - strong written and verbal communication skills for direct client interaction Reliable workspace/internet - willing to work extra hours FAST execution mindset - must be able to ship complete features within 1 week Strong system architecture experience - designing scalable, distributed AI/ML systems Expert-level LangChain experience for AI orchestration and workflow management Hugging Face experience - transformers, model integration, and deployment Extensive AI Agent development with LangChain or Google Vertex AI Heavy AWS cloud experience, particularly with Bedrock, SageMaker, and AI/ML services Backend generalist comfortable with Node.js and Python for AI service development Agile methodologies experience, startup environment passion Independent problem-solver, team player willing to work extra hours AI Agent & LangChain Expertise (Required) LangChain framework mastery for complex AI workflow orchestration Hugging Face integration - transformers, model deployment, and API integration AI Agent architecture design with LangChain or Google Vertex AI Prompt engineering and chain-of-thought optimization Vector databases and embedding systems (Pinecone, Pgvector, Chroma) RAG pipeline development and optimization LLM integration across multiple providers (OpenAI, Anthropic, AWS Bedrock, Hugging Face) Agentic system design with memory, planning, and execution capabilities Backend & Cloud Infrastructure Heavy AWS Cloud services experience (Lambda, API Gateway, S3, RDS, SageMaker, Bedrock) System architecture design for high-scale, distributed AI/ML applications Microservices architecture and design patterns for AI systems at scale Node.js and Python backend development for AI service APIs RESTful API design and GraphQL for AI service integration Database design and management for AI data workflows Modern JavaScript/TypeScript and Python async programming MLOps & Integration CI/CD pipelines and GitHub Actions for ML model deployment Model versioning, monitoring, and automated retraining workflows Container orchestration (Docker, Kubernetes) for AI services Performance optimization for high-throughput AI systems Modern authentication and secure API design for AI endpoints API security implementation (XSS, CSRF protection) Bonus Qualifications Advanced Hugging Face experience (fine-tuning, custom models, optimization) Multi-modal AI experience (vision, audio, text processing) Advanced prompt engineering and fine-tuning experience DevOps and infrastructure as code (Terraform, CloudFormation) Database optimization for vector search and AI workloads Additional cloud platforms (Azure AI, Google Vertex AI) Knowledge graph integration and semantic reasoning Project Deliverables You'll be working on building a comprehensive AI-powered business intelligence system with autonomous agent capabilities. Key deliverables include: Core AI Agent Platform Multi-agent orchestration system with LangChain workflow management Autonomous reasoning agents with tool integration and decision-making capabilities Intelligent document processing pipeline with advanced OCR and classification Real-time AI analysis dashboard with predictive insights and recommendations Advanced AI Workflows RAG-powered knowledge synthesis with multi-source data integration Automated business process agents with approval workflows and notifications AI-driven anomaly detection with proactive alerting and response systems Intelligent API orchestration with dynamic routing and load balancing Comprehensive agent performance monitoring with usage analytics and optimization insights Integration & Deployment Systems Scalable AWS backend infrastructure with auto-scaling AI services Production MLOps pipeline with automated model deployment and monitoring Multi-tenant AI service architecture with usage tracking and billing integration Real-time AI API gateway with rate limiting and authentication Benefits/Compensation Fully Remote, Contract-based with U.S. company $4,000/mo - $8,000/mo depending on experience and project duration Company-paid PTO plan, international team of 15+ To Apply SEND YOUR RESUME IN ENGLISH, please. Include the URL of your LinkedIn profile. Include Website references, GitHub repositories, and any other online references that would highlight your prior work for the qualifications described in this role. ⚠️ AUTOMATIC DISQUALIFICATION: You will be automatically disqualified if your resume is not in English or you don't include your LinkedIn profile URL. About OneSeven Tech OneSeven Tech is a premier digital product studio serving both high-growth startups and established enterprises. We've partnered with startup clients who have collectively raised over $100M in Venture Capital, while our enterprise portfolio includes 2000+ person hospitality groups and publicly traded NASDAQ companies. Our passion lies in crafting exceptional AI-powered digital products that drive real business success. Joining OneSeven means working alongside a skillful team of consultants where you'll sharpen your AI/ML expertise, expand your capabilities, and contribute to cutting-edge solutions for industry-leading clients. OST's headquarters is in Miami, Florida, but our employees work remotely worldwide. Our 3 main locations are Miami, Mexico City, Mexico, and Buenos Aires, Argentina. Show more Show less

Company Description 👋🏼 We're Nagarro. We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (18000+ experts across 38 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in! Job Description REQUIREMENTS: Total experience 5+ years Extensive experience in Java 8 or higher, Spring Framework-Core/Boot/MVC, Hibernate/JPA, and Microservices Architecture. Proficient in Github Copilot Prompt based coding. Hands on experience of RDBMS like SQL Server, Oracle, MySQL, PostgreSQL. Strong backend development skills with technologies and languages including Node.js, Fastify, Express, Java, Micronaut, and databases such as MongoDB, Elasticsearch, and PostgreSQL. Expertise in writing high-quality code following object-oriented design principles with a strong balance between performance, extensibility, and maintainability. Experience in SOA based architecture, Web Services (Apache/CXF/JAXWS/JAXRS/SOAP/REST). Hands-on Experience in Low- and High-Level Design (LLD + HLD). Strong working experience in RabbitMQ, Kafka, Zookeeper, REST APIs. Expert in CI/CD capabilities required to improve efficiency. Hands-on experience deploying applications to hosted data centers or cloud environments using technologies such as Docker, Kubernetes, Jenkins, Azure DevOps and Google Cloud Platform. A good understanding of UML and design patterns. Experience in POCs or personal projects using AI-assisted coding. Familiarity with OpenAI, ChatGPT, or prompt engineering basics. Strong communication skills and the ability to collaborate effectively with cross-functional teams. RESPONSIBILITIES: Writing and reviewing great quality code Understanding functional requirements thoroughly and analyzing the client’s needs in the context of the project Envisioning the overall solution for defined functional and non-functional requirements, and being able to define technologies, patterns and frameworks to realize it Determining and implementing design methodologies and tool sets Enabling application development by coordinating requirements, schedules, and activities. Being able to lead/support UAT and production roll outs Creating, understanding and validating WBS and estimated effort for given module/task, and being able to justify it Addressing issues promptly, responding positively to setbacks and challenges with a mindset of continuous improvement Giving constructive feedback to the team members and setting clear expectations. Helping the team in troubleshooting and resolving of complex bugs Coming up with solutions to any issue that is raised during code/design review and being able to justify the decision taken Carrying out POCs to make sure that suggested design/technologies meet the requirements. Qualifications Bachelor’s or master’s degree in computer science, Information Technology, or a related field. Show more Show less

Responsibilities: Build and fine-tune AI models. Integrate and optimize NLP frameworks (e.g., LangChain, OpenAI GPT, HuggingFace) for 2-way communication between user and avatar. Develop and manage prompt engineering logic for multilingual voice & text conversations. Design knowledge ingestion pipelines to feed AI with datasets and digitized books. Build accuracy benchmarking tools using top data cross-verification. Collaborate with frontend, backend, and avatar teams to ensure seamless voice/text response sync. Continuously improve prediction accuracy through feedback loops, user queries, and new data integration. 🧠 Required Skills: Strong experience with Python, TensorFlow/PyTorch, and AI model building Proficiency in NLP frameworks (e.g., OpenAI API, LangChain, Rasa, Hugging Face) Familiarity with voice-to-text (Whisper) and text-to-speech (e.g., ElevenLabs, Google TTS) Experience working with structured & unstructured data ingestion (CSV, PDFs, books, APIs) Understanding concepts or willingness to learn quickly Strong prompt engineering & cus tom model tuning experience

Microsoft .NET Core LLM Engineer Location: In-person, Lucknow About Laitkor Consultancy Services: At Laitkor Consultancy Services, we are at the forefront of innovation, leveraging cutting-edge technologies to solve complex problems. We foster a collaborative environment where creativity and technical excellence thrive. Job Summary: We are seeking a highly skilled and passionate Microsoft .NET Core LLM Engineer to join our dynamic development team. In this role, you will be instrumental in designing, developing, and deploying robust and scalable applications that integrate Large Language Models (LLMs) to deliver intelligent and innovative solutions. You will work with the latest .NET Core technologies, Azure services, and various LLM APIs to build next-generation AI-powered products. Key Responsibilities: Design, develop, and maintain high-performance, scalable, and secure applications using Microsoft .NET Core and C#. Integrate and leverage various Large Language Models (LLMs) and AI services (e.g., Azure OpenAI Service, custom LLMs) into .NET Core applications. Implement prompt engineering techniques, RAG (Retrieval Augmented Generation) patterns, and fine-tuning strategies to optimize LLM performance and relevance. Develop and consume RESTful APIs and gRPC services for seamless communication between application components and LLM services. Collaborate with data scientists, AI researchers, and product managers to understand requirements and translate them into technical specifications. Ensure the security, reliability, and performance of LLM-integrated systems. Write clean, well-documented, and testable code following best practices for software development. Participate in code reviews, contribute to architectural discussions, and mentor junior developers. Stay up-to-date with the latest advancements in .NET Core, Azure, and Large Language Model technologies. Troubleshoot and debug complex issues across the application stack. Required Qualifications: Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience. 5+ years of professional experience in software development with a strong focus on Microsoft .NET Core and C#. Proven experience integrating and working with Large Language Models (LLMs) or other AI/ML services. Solid understanding of prompt engineering, token management, and common LLM use cases. Experience with Azure cloud services (e.g., Azure App Service, Azure Functions, Azure Kubernetes Service, Azure Cosmos DB, Azure OpenAI Service). Proficiency in designing and developing RESTful APIs. Strong understanding of object-oriented programming (OOP) principles, design patterns, and software architecture. Experience with relational and/or NoSQL databases (e.g., SQL Server, Azure Cosmos DB, MongoDB). Familiarity with version control systems, particularly Git. Excellent problem-solving, analytical, and communication skills. Preferred Qualifications: Master's degree in a relevant field. Experience with other cloud platforms (AWS, GCP) and their AI/ML offerings. Familiarity with containerization technologies (Docker, Kubernetes). Experience with message queues or event streaming platforms (e.g., Azure Service Bus, Kafka, RabbitMQ). Knowledge of front-end technologies (e.g., React, Angular, Vue.js) is a plus. Contributions to open-source projects related to .NET or AI. Show more Show less

Job Title: Freelance AI Trainer (Corporate Training – Non-Technical Audience) Company: People Pro Consulting Location: Remote / Hybrid (India) Engagement: Freelance – Fees on a per-session basis About Us: People Pro Consulting is dedicated to empowering non-technical professionals (HR, Finance, Service, Marketing, etc.) to embrace and leverage Artificial Intelligence in their daily workflows. We believe AI can be both accessible and fun, and our goal is to spark curiosity first and drive real workplace adoption in a second phase. What You’ll Do Design & Deliver Interactive Sessions • Create engaging, hands-on workshops that demonstrate AI’s potential in everyday tasks (e.g., automating reports, improving decision-making, enhancing customer interactions). • Use real-life examples tailored to HR, Finance, Service, and Marketing professionals—no heavy coding or jargon. • Incorporate gamification, live demos, and simple “AI hacks” so participants experience quick wins. Impress & Inspire • Kick off with “wow” moments (chatbots that generate emails, basic predictive analytics in spreadsheets, AI-driven design tools) to capture attention. • Showcase how AI tools—like language models, low-code RPA, and intelligent assistants—can streamline tasks without requiring technical expertise. Facilitate Workplace Adoption • In Phase 1 (Awareness): Build excitement and confidence around AI by demonstrating practical use cases. • In Phase 2 (Integration): Help participants plan small pilot projects—e.g., automating a routine HR report or generating an AI-powered marketing draft—and guide them through executing those pilots in their respective teams. Measure & Follow Up • Provide simple frameworks to measure ROI (time saved, error reduction, improved engagement). • Offer “office hour” support calls between sessions so learners can troubleshoot as they try out AI in real scenarios. Who You Are AI Expertise with a Teaching Mindset • Proven experience running AI workshops or corporate sessions for non-technical audiences (HR, Finance, Marketing, etc.). • Hands-on familiarity with user-friendly AI tools (ChatGPT, no-code ML platforms, intelligent Excel add-ins, etc.). Engaging & Relatable Communicator • Ability to break down complex concepts into simple, relatable examples. • Comfortable using humor, live demos, and interactive exercises to keep energy high. Practical & Outcome-Oriented • Focus on actionable takeaways: participants should feel confident launching their own AI pilot by the end of the program. • Experience designing multi-phase training roadmaps that transition learners from “curious” to “competent.” Flexible & Collaborative • Willingness to tailor content to specific client needs (e.g., HR policy automation vs. marketing content generation). • Open to co-creating session outlines with our internal learning team and iterating based on feedback. Minimum Qualifications 3+ years delivering AI training or workshops, ideally in a corporate setting. Demonstrated success teaching non-technical learners (testimonials or case studies preferred). Solid knowledge of at least two mainstream AI tools/platforms (e.g., OpenAI ChatGPT, Microsoft Copilot, Google Vertex AI, UiPath Action Center). Strong presentation skills, backed by examples of engaging slide decks, demo videos, or participant feedback summaries. Compensation & Logistics Fees: Competitive, paid per completed session (negotiable based on experience and client scope). Session Duration: Typically 2–3 hours each (can vary from 60-minute “intro” workshops to half-day hands-on labs). Schedule: Flexible—sessions may be booked Monday through Friday between 10 AM and 6 PM IST. Materials: You are responsible for creating and sharing all slide decks, exercise files, and follow-up handouts. How to Apply Submit Your Resume & Portfolio • apply here ar linkedin • Subject Line: “Freelance AI Trainer Application – [Your Name]” Provide a 2–3 minute Video Demo Link (YouTube/Google Drive, unlisted) showcasing a short AI exercise you’ve led for non-technical learners. Include a Brief Proposal (max 200 words) outlining: • One icebreaker or “wow” moment you’d use to introduce AI to a room of HR/Finance professionals. • One hands-on exercise you’d assign to ensure participants leave excited to implement AI. Note: Shortlisted candidates will be invited for a brief discovery call to discuss scope, timeline, and session logistics. Follow @PeopleProConsulting for more corporate training opportunities. Show more Show less

Hi, Job Title: Managed Services Practice Head Location: Gurugram, India Experience: 15+ years Employment Type: Full-Time Role Overview We are looking for a dynamic and strategic Managed Services Practice Head to lead and expand our global Managed Services operations. This leader will play a critical role in driving high-quality service delivery, building innovative support models, and supporting pre-sales initiatives. The ideal candidate will have deep expertise in building and scaling large GCC organizations, managing end-to-end service transitions, defining and operating service levels (SLA, SLI, SLO), and ensuring consistent, high-quality delivery aligned with business goals. This Role Involves Strategizing and driving IT services growth (both project-based and staff augmentation) Leading presales activities, solution design, and client engagement Building and managing a technology practice to deliver high-quality services Owning P&L, pricing models, and market expansion efforts Key Roles And Responsibilities Business Growth and Leadership Develop a strong pipeline of new business opportunities and drive conversions. Work closely with the sales team to create winning proposals and differentiate the company’s offerings. Collaborate with marketing to position services effectively in the market. Build strong customer relationships and lead high-impact discussions with C-level executives Lead the setup of new GCC(s), including infrastructure, governance, hiring, training, and operational readiness. Build and maintain a robust GCC operating model that aligns with global delivery needs and enterprise standards. Practice Leadership and Capability Building Establish and grow capabilities across key technology areas Build and manage a team of skilled professionals (recruitment, upskilling, and competency development). Define best practices, delivery methodologies, and reusable frameworks for IT services. Collaborate with the delivery teams to ensure smooth project execution and customer satisfaction. Work on innovation, automation, and accelerators to improve service efficiency. Define and implement strategies to automate service delivery and improve operational efficiency. Drive shift-left strategies, intelligent automation, and SRE-based operating models. Define standards, best practices, and governance models across teams. Presales & Solutioning Lead the presales function, including RFP/RFI responses, proposals, and bids. Understand customer pain points and design tailored IT services & staffing solutions. Create solution frameworks, pricing models, and business cases to win deals. Conduct technical presentations, workshops, and PoCs to demonstrate capabilities. Ensure a high win rate through consultative selling and competitive positioning. Staff Augmentation Strategy & Execution Develop a scalable model for IT staff augmentation (onsite, offshore, nearshore). Build and manage a strong talent pipeline to support rapid hiring for client needs. Create engagement models, SLAs, and governance frameworks for staffing solutions. Collaborate with recruiters to enhance candidate quality and selection speed. Ensure seamless resource onboarding, deployment, and performance management. Financial & P&L Ownership Own the P&L for IT Services & Staff Augmentation. Optimize pricing strategies to ensure profitability while remaining competitive. Track and improve revenue, margins, and utilization rates across engagements. Negotiate contract terms, SLAs, and MSA agreements with clients and vendors. Transition & Transformation Own and lead large-scale service transition programs—from discovery and KT to steady-state delivery. Define transition strategies, timelines, and risk management frameworks. Ensure knowledge retention, service stabilization, and business continuity through well-orchestrated transitions. Delivery Excellence Oversee managed services delivery across multiple accounts or programs. Define and drive automation strategy, observability, and AIOps integration to optimize support and reduce manual efforts. Ensure 24x7 service availability, incident management, RCA processes, and effective problem resolution. Establish a metrics-driven culture with deep focus on stability, scalability, and performance. Key Skills & Qualifications Business Development & Presales Expertise- Proven track record in driving IT services revenue, solutioning, and winning deals. IT Services Delivery Experience- Strong understanding of project execution methodologies (Agile, DevOps, ITIL, etc.). Technical Acumen In-depth knowledge of the ITIL framework and ITSM tools like ServiceNow, BMC, Jira Service Management, etc. Strong technical background in cloud platforms (AWS, Azure, GCP) and application/infrastructure support. Deep experience with observability tools: Datadog, AppDynamics, Dynatrace, Splunk, Quantum Metric, ThousandEyes, etc. Sound understanding of OpenAI and experience integrating emerging technologies into service delivery. Staff Augmentation Expertise - Experience in managing IT resource staffing, workforce planning, and recruitment models. Customer & Stakeholder Management- Ability to engage with C-level executives, understand business needs, and align solutions. Financial Acumen - P&L ownership, pricing strategies, and contract negotiations. People Leadership - Experience in hiring, mentoring, and managing high-performing technical teams. KPIs For Success In This Role Revenue Growth - Achieving quarterly and annual sales targets for IT services & staff augmentation. Win Rate in Presales - Percentage of deals won vs. bids submitted. Talent Utilization Rate - Optimizing deployed resources for maximum productivity. Client Satisfaction Score (CSAT) - Ensuring high customer retention and positive feedback. Profit Margins - Maintaining healthy gross and net margins across services. Practice Expansion - Growing the technical capabilities, team size, and service offerings. Preferred Qualifications Bachelor's or Master's degree in Engineering. ITIL v4 Foundation/Intermediate/Expert certification. Cloud certifications (AWS, Azure, or GCP). Agile, PMP, or SAFe certifications are a plus. Show more Show less

AI Data Scientist Locations: Pune, India Buildings are getting smarter with connected technologies. With more connectivity, there is access to more data from sensors installed in buildings. Johnson Controls is leading the way in providing AI enabled enterprise solutions that contribute to optimized energy utilization, auto- generation of building insights and enable predictive maintenance for installed devices. Our Data Strategy & Intelligence team is looking for a Data Scientist to join our growing team. You will play a critical role in developing and deploying machine learning/Generative AI and time series analysis models in production. The Role To be successful in this role, the Data Scientist should have a deep knowledge of machine learning concepts, Large Language Models (LLM) including their training , optimization and deployment, time series models as well as experience in developing and deploying ML/Generative AI/ time series models in production. What you will do As An AI Data Scientist At Johnson Controls, You Will Help Develop And Maintain The AI Algorithms And Capabilities Within Our Digital Products. These Applications Will Use Data From Commercial Buildings, Apply Machine Learning, GenAI Or Other Advanced Algorithms To Provide Value In The Following Ways Optimize building energy consumption, occupancy, reduce CO2 emissions, enhance users’ comfort, etc. Generate actionable insights to improve building operations Translate data into direct recommendations for various stakeholders Your efforts will ensure that our AI solutions deliver robust and repeatable outcomes through well-designed algorithms and well-written software. To be successful in this role, the AI Data Scientist should be comfortable applying machine-learning concepts to practical applications while handling the inherent challenges of real-world datasets. How you will do it Contribute as a member of the AI team with assigned tasks Collaborate with product managers to design new AI capabilities Explore and analyze available datasets for potential applications Write Python code to develop ML/Generative AI/time series prediction solutions that address complex business requirements Research and implement state-of-the-art techniques in Generative AI solutions Pre-train and finetune ML over CPU/GPU clusters while optimizing for trade-offs Follow code-quality standards and best practices in software development Develop and maintain test cases to validate algorithm correctness Assess failures to identify causes and plan fixes for bugs Communicate key results to stakeholders Leverage JIRA to plan work and track issues What we look for Bachelor's / Master’s degree in Computer Science, Statistics, Mathematics, or related field. 5+ years of experience of developing and deploying ML Models with a proven record of delivering production ready ML models. Proficiency with Python and standard ML libraries, e.g., PyTorch, Tensorflow, Keras, NumPy, Pandas, scikit-learn, Matplotlib, Transformers. Strong understanding of ML algorithms and techniques, e.g., Regression, Classification, Clustering, Deep Learning, NLP / Transformer models, LLMs and Time Series prediction models. Experience in developing SOA LLM frameworks and models (Azure OpenAI, Meta Llama, etc), advanced prompt engineering techniques, LLMs fine-tuning/training. Experience in working with cloud (AWS / GCP / Azure) based ML/GenAI model development / deployment. Excellent verbal and written communication skills. Preferred Prior Domain experience in smart buildings and building operations optimization Experience in working with Microsoft Azure Cloud. Show more Show less

Job Role: AI Engineer Experience: 5-8 years Location: Bangalore, India Type of Employment: Full-time, Hybrid About Cognizant Join a rapidly growing consulting and IT services Fortune 500 company with around 350,000 employees worldwide, a very flexible international business, customers that are leaders in their respective sectors, and a high level of commitment. About CAIL/ Evolutionary AI Team (LEAF) The Cognizant AI Labs were created to pioneer scientific innovation and bridge the gap to commercial applications. The AI Labs collaborate with institutions, academia and technology partners to develop groundbreaking AI solutions responsibly. The Lab’s mission is to maximize human potential with decision AI, a combination of multi-agent architectures, generative AI, deep learning, evolutionary AI and trustworthy techniques to create sophisticated decision-making systems. Through scientific publications, open-source software, AI for Good projects and the Cognizant Neuro® AI decisioning platform and Multi-Agent Accelerator, the AI Labs support our goal of improving everyday life. Your role You are an experienced data scientist and Python developer with deep experience in multiple technologies; you are driven, curious and passionate about your work; you are innovative, creative and focused on excellence; and you want to be part of an ego-free work environment where we value honest, healthy interactions and collaboration. Key Responsibilities Be customer advocate that implement our Neuro AI offering. Design, develop, and implement advanced AI models, with a focus on generative AI, agents, and foundation models for enterprise Build and maintain AI pipelines, experimentation frameworks, and reusable components for rapid prototyping and scaling. Experiment with multi-agent systems framework to create context-aware, goal driven agents integrated into workflows. Consistently deliver high-quality software and seek and develop innovative methods and processes and keep up to date on latest trends, tools and advancements in AI in the area of Evolutionary AI Collaborate with cross-disciplinary teams to conceptualize and develop AI based solutions and demos. Contribute to research publication of research and actively engage in open-source communities Assist in preparing internal technical documents, presentations, etc. Work in a highly collaborative, fast-paced environment with your peers on the Cognizant AI Labs team Your Profile Bachelor’s/Master’s in Computer Science, Data Science, or related Engineering field with emphasis on AI/EA, software development and algorithm design. 3+ years of experience in AI/ML engineering role preferred in a enterprise, research or innovation lab setting. Demonstrated experience with AI frameworks like LangChain, HuggingFace, OpenAI, Anthropic etc. Strong programming and engineering skills in Python, Numpy, Pandas, Keras, TensorFlow, PyTorch, Scikit-learn, Jupyter Notebooks, GitHub etc. Solid understanding of AI agent frameworks and strong interest in agentic AI research Active contributor to GitHub or similar platforms demonstrating AI projects, open-source contributions or published research. Ability to rapidly work with minimal supervision on projects involving both small and large teams Ability to work autonomously and prioritize multiple tasks Cloud environments for processing big data (AWS, Azure, Google cloud) Deep knowledge of relational, structured, semi-structured and unstructured data systems, and the experience to know when to use each type of system. Familiarity with modern commercial software development: unit tests, code reviews, secure and clean code. Excellent verbal and written communication skills in English Preferred/Highly Desirable Qualifications Experience with RESTful services, JSON and XML metadata, Docker containers. Experience with machine learning, evolutionary algorithms a plus. Knowledge of and an appreciation for open source projects, design patterns, and enterprise architecture patterns. Research mindset with experience in publishing research work Experience in working in IT service, consulting, or client-facing roles Familiarity with cloud platforms and enterprise AI solution deployment Continuous learner with demonstrated passion for R&D and think long-term. Show more Show less

Job Summary We are looking for a highly skilled Solutions Architect or Engineering Lead to join our team for a critical client-facing role. The ideal candidate will have extensive hands-on experience with Azure, production-level deployment workflows, and Generative AI systems. This role includes representing our company to the client’s Architecture Review Board, AI Council, and other senior stakeholders, making strong communication and documentation skills essential. Job Responsibilities: Design and implement scalable Azure architectures for enterprise-level applications Lead deployment and infrastructure planning for production environments Represent the company in client meetings, architecture reviews, and AI-related discussions Develop and maintain system design documentation (HLD, LLD, architecture diagrams) Collaborate with cross-functional teams including backend, frontend, AI/ML engineers Ensure solutions meet compliance, performance, and security standards Required Skills and Experience: 1. Azure Architecture Expertise: Proficient with Azure Kubernetes Service (AKS), Azure App Services, Azure Container Apps & Jobs Experience with Azure Redis Cache for caching or messaging Skilled in using Azure Storage (Blob/File) and Azure Files Familiarity with Azure Cosmos DB Understanding of Azure Virtual Networks, Subnets, and Private Endpoints Experience managing secrets and certificates with Azure Key Vault Hands-on with Azure Monitor and Application Insights Familiarity with Azure AI Services like Azure OpenAI and AI Search 2. DevOps & Deployment: Hands-on experience with CI/CD using Azure DevOps or GitHub Actions Proficiency in Docker and Docker Compose for containerization Working knowledge of Kubernetes orchestration and deployment strategies Familiarity with blue-green and rolling deployment techniques Experience with observability tools: centralized logging, tracing, and alerting 3. Generative AI System Design: Experience with Retrieval-Augmented Generation (RAG) architecture Familiarity with embedding databases such as Azure AI Search, PG_VECTOR, FAISS Knowledge of agent-based architectures (LangChain/LangGraph) Understanding of streaming outputs and session memory in LLMs Skills in cost optimization and performance tuning for LLM workflows 4. Job Processing & Backend Integration: Familiarity with job processing frameworks like Azure Container App Jobs or Celery Understanding of message brokers like Redis, RabbitMQ, Azure Cache Ability to design asynchronous, decoupled workflows using queues/tasks 5. Security & Compliance: Knowledge of RBAC, JWT, and API security best practices Familiarity with network isolation, encryption standards, and secure API gateways Understanding of compliance requirements for sensitive/regulated data (e.g., healthcare content) 6. Soft Skills & Collaboration: Strong written communication and documentation skills Experience in creating High-Level Design (HLD) and Low-Level Design (LLD) Proven ability to collaborate with backend, frontend, and AI/ML teams Show more Show less

Job Title: AI Developer Location: Pune (Hybrid), Bangalore, Coimbatore Budget: Up to 25 LPA Experience Required: 5 + years (Relevant AI Development Experience 2+) Work Mode: Onsite Job Summary: We are looking for an AI Developer with hands-on experience working with various AI tools, Proof of Concepts (POCs), and AI-driven projects. The ideal candidate should be proficient in designing, developing, and deploying AI solutions while collaborating with cross-functional teams. Strong problem-solving skills, a passion for AI innovation, and excellent communication abilities are essential. Key Responsibilities: AI Development & Implementation: Develop and implement AI/ML models and algorithms for real-world applications. Work on Proof of Concepts (POCs) and AI-based prototypes, translating ideas into deployable solutions. Optimize and fine-tune AI models for scalability, performance, and efficiency. Integrate AI technologies into existing business processes and software applications. AI Tools & Technology Stack: Hands-on experience with AI/ML tools, frameworks, and libraries such as TensorFlow, PyTorch, OpenAI, LangChain, and Hugging Face. Work with Large Language Models (LLMs), Generative AI, Natural Language Processing (NLP), and Computer Vision. Utilize cloud platforms such as AWS, Azure, or Google Cloud for AI model deployment and scaling. Project Execution & Collaboration: Collaborate with data scientists, software engineers, and business teams to define AI-driven solutions. Work closely with stakeholders to understand business problems and develop AI-based recommendations. Participate in code reviews, debugging, and troubleshooting to ensure AI applications are robust. Communication & Documentation: Communicate AI concepts, technical findings, and project progress to technical and non-technical stakeholders. Document AI models, processes, and best practices for knowledge sharing. Candidate Requirements: Minimum of two years of relevant experience in AI/ML development. Strong experience in building AI-driven applications, POCs, and automation solutions. Hands-on expertise with AI tools, frameworks, and cloud platforms. Proficiency in programming languages such as Python, R, or Java for AI/ML model implementation. Experience in LLMs, NLP, Deep Learning, and Generative AI is preferred. Strong problem-solving and analytical skills to drive AI initiatives. Excellent communication skills to convey technical concepts to diverse audiences. Ability to work in a hybrid model from Pune (on-site and remote). Why Join Us? Opportunity to work on cutting-edge AI technologies and projects. Collaborative environment with AI experts and business leaders. A chance to drive AI innovation in a dynamic and fast-paced setting. Competitive salary package up to 15 LPA. Hybrid work model based in Pune. Show more Show less

Location: Delhi Type: Full-Time Experience Level: Senior / Expert Start Date: Immediate About Brainwave Science: Brainwave Science is a leader in cognitive technologies, specializing in solutions for the security and intelligence sectors. Our flagship product, iCognative™ , leverages real-time cognitive response analysis using Artificial Intelligence and Machine Learning techniques to redefine the future of investigations, defense, counterterrorism, and counterintelligence operations. Beyond security, Brainwave Science is at the forefront of healthcare innovation, applying our cutting-edge technology to identifying diseases, various neurological conditions, and mental health challenges in advance and identification of stress and anxiety in real time and providing non-medical, science-backed interventions. Together, we are shaping a future where advanced technology strengthens security, promotes wellness, and creates a healthier, safer world for individuals and communities worldwide. About the Role We are seeking an experienced and forward-thinking AI/ML Engineer – LLM & Deep Learning Expert to design, develop, and deploy Large Language Models (LLMs) and intelligent AI systems. You will work on cutting-edge projects at the intersection of natural language processing , edge AI , and biosignal intelligence , helping drive innovation across defense, security, and healthcare use cases. This role is ideal for someone who thrives in experimental environments, understands private and local LLM deployments, and is passionate about solving real-world challenges using advanced AI. Responsibilities Design, train, fine-tune, and deploy Large Language Models using frameworks like PyTorch , TensorFlow , or Hugging Face Transformers Integrate LLMs for local/edge deployment using tools like Ollama , LangChain , LM Studio , or llama.cpp Build NLP applications for intelligent automation , investigative analytics , and biometric interpretation Optimize models for low-latency , token efficiency , and on-device performance Work on prompt engineering , embedding tuning , and vector search integration (FAISS, Qdrant, Weaviate) Collaborate with technical and research teams to deliver scalable AI-driven features Stay current with developments in open-source and closed-source LLM ecosystems (e.g., Meta, OpenAI, Mistral) Must-Have Requirements B.Tech/M.Tech in Computer Science (CSE) , Electronics & Communication (ECE) , or Electrical & Electronics (EEE) from IIT, NIT, or BITS Minimum 3 - 4 years of hands-on experience in AI/ML, deep learning , and LLM development Deep experience with Transformer models (e.g., GPT, LLaMA, Mistral, Falcon, Claude) Hands-on with tools like LangChain , Hugging Face , Ollama , Docker , or Kubernetes Proficiency in Python , and strong knowledge of Linux environments Strong understanding of NLP , attention mechanisms , and model fine-tuning Preferred Qualifications Experience with biosignals , especially EEG or time-series data Experience deploying custom-trained LLMs on proprietary datasets Familiarity with RAG pipelines and multi-modal models (e.g., CLIP, LLaVA) Knowledge of cloud platforms (AWS, GCP, Azure) for scalable model training and serving Published research, patents, or open-source contributions in AI/ML communities Excellent communication, analytical, and problem-solving skills What We Offer Competitive compensation based on experience Flexible working hours and remote-friendly culture Access to high-performance compute infrastructure Opportunities to work on groundbreaking AI projects in healthcare, security, and defense Show more Show less

Responsibilities: Outcome-Driven Accountability : Embrace and drive a culture of accountability for customer and business outcomes. Develop quality engineering solutions that solve complex problems with valuable outcomes, ensuring high-quality, AI-driven test automations. Technical Leadership and Advocacy : Serve as the quality advocate for products, ensuring high-quality automation coverage, appropriateness, feasibility, and alignment with business and customer goals. Design, develop, and maintain advanced automation frameworks to drive Automation first mindset using advanced techniques including BDD, AI and GenAI technologies to streamline and enhance the testing process. Engineering Craftsmanship : Maintain accountability for the integrity of test design, test automation, their ongoing maintenance and scale, as well as the quality of solutions. Stay hands-on, self-driven, and continuously learn new approaches, tools, techniques, and frameworks. Integrate AI and GenAI tools and techniques into existing testing processes to improve accuracy, efficiency, and coverage of automated tests. Customer-Centric Engineering : Develop lean quality engineering solutions through rapid, inexpensive experimentation to solve customer needs. Engage with customers and product teams before, during, and after delivery to ensure the right solution is delivered at the right time. Incremental and Iterative Delivery : Adopt a mindset that favors action and evidence over extensive planning. Utilize a leaning-forward approach to navigate complexity and uncertainty, delivering lean, supportable, and maintainable solutions. Cross-Functional Collaboration and Integration : Work collaboratively with empowered, cross-functional teams including product management, experience, engineering, and delivery. Integrate diverse perspectives to make well-informed decisions that balance feasibility, viability, usability, and value. Foster a collaborative environment that enhances team synergy and innovation. Advanced Technical Proficiency : Possess basic knowledge of modern quality engineering practices and principles, including Agile methodologies and DevSecOps to deliver daily product deployments using techniques like fully automated in-sprint testing to accept the stories and work products, powered by AI/GenAI, throughout the SDLC lifecycle. Strive to be a role model, leveraging these techniques to optimize solutioning and product delivery. Demonstrate an understanding of the full lifecycle product development, focusing on continuous improvement and learning. Domain Expertise : Quickly acquire domain-specific knowledge relevant to the business or product. Translate business/user needs and UX/UI designs into test automation. Be a valuable, flexible, and dedicated team member, supportive of teammates, and focused on quality and tech debt payoff. Effective Communication and Influence : Exhibit strong communication skills, capable of articulating complex technical concepts clearly and compellingly. Support teammates and product teams through well-structured arguments and trade-offs supported by evidence. Create coherent narratives that align technical solutions with business objectives. Engagement and Collaborative Co-Creation : Engage and collaborate with product engineering teams, including customers as needed. Build and maintain constructive relationships, fostering a culture of co-creation and shared momentum towards achieving product goals. Align diverse perspectives and drive consensus to create feasible solutions. Qualifications: A bachelors degree in computer science, software engineering, or a related discipline. An advanced degree (e.g., MS) is preferred but not required. Experience is the most relevant factor. 5+ years of experience in quality assurance and test automation including coding the test scripts, with at least 1-2 years focused on AI and GenAI technologies. Hands-on experience with automation-first techniques like BDD and test automation tools like TOSCA, Selenium, Gherkin, Functionize, Testim, AccelQ. Experience with AI/GenAI tools and frameworks (e.g., TensorFlow, PyTorch, OpenAI, Python, etc.). Understanding of machine learning algorithms and their application in test automation. Experience with cloud hyper-scalers like Azure, AWS, and GCP. Good understanding of methodologies & tools like, XP, Lean, SAFe, DevSecOps, ADO, GitHub, SonarQube, etc. Excellent interpersonal and organizational skills, with the ability to handle diverse situations, complex projects, and changing priorities, behaving with passion, empathy, and care.

What if the work you did every day could impact the lives of people you know? Or all of humanity? At Illumina, we are expanding access to genomic technology to realize health equity for billions of people around the world. Our efforts enable life-changing discoveries that are transforming human health through the early detection and diagnosis of diseases and new treatment options for patients. Working at Illumina means being part of something bigger than yourself. Every person, in every role, has the opportunity to make a difference. Surrounded by extraordinary people, inspiring leaders, and world changing projects, you will do more and become more than you ever thought possible. Position Summary We seek a highly skilled and motivated AI Analyst to join our dynamic team in India. The ideal candidate will have extensive experience with automation technologies, precisely UI Path, and a strong background in AI/GenAI technologies. This role involves applying machine learning (ML) models for segmentation, developing MLOps frameworks, and working with OpenAI for Generative AI solutions. Position Responsibilities Design and implement automation solutions: Utilize UI Path to develop and deploy automation workflows that enhance business processes and improve operational efficiency. Apply AI/GenAI technologies: Leverage AI and Generative AI technologies to create innovative solutions that solve complex problems and drive business value. Develop and deploy ML models: Create and implement ML models for data segmentation, ensuring high accuracy and performance. Establish and manage MLOps frameworks: Develop and maintain robust MLOps pipelines to streamline the deployment and monitoring of ML models. Collaborate with OpenAI: Work with OpenAI technologies to integrate generative AI capabilities into existing workflows and develop new applications. Continuous improvement: Stay updated with the latest advancements in AI/automation technologies and incorporate best practices into ongoing projects. Documentation and reporting: Create comprehensive documentation for all automation processes, ML models, and MLOps frameworks. Report on project progress and outcomes to stakeholders. The listed responsibilities are an essential but not exhaustive list of the usual duties associated with the position. Changes to individual responsibilities may occur due to business needs. Preferred Experience/Education/Skills Educational background: Bachelor’s degree in Computer Science, Engineering, or a related field. Master’s degree is a plus. Experience: Minimum of 3-5 years of experience in automation engineering, with specific expertise in UI Path and Machine Learning. Technical skills: Proficiency in AI/GenAI technologies and frameworks. Experience with machine learning models and MLOps practices. Familiarity with OpenAI and its applications in generative AI. Strong programming skills in Python, R, or Java. Soft skills: Excellent problem-solving abilities, strong analytical thinking, and effective communication skills. Team player: Ability to work collaboratively in a cross-functional team environment and manage multiple projects simultaneously. Adaptability: Willingness to learn new technologies and adapt to changing project requirements. We are a company deeply rooted in belonging, promoting an inclusive environment where employees feel valued and empowered to contribute to our mission. Built on a strong foundation, Illumina has always prioritized openness, collaboration, and seeking alternative perspectives to propel innovation in genomics. We are proud to confirm a zero-net gap in pay, regardless of gender, ethnicity, or race. We also have several Employee Resource Groups (ERG) that deliver career development experiences, increase cultural awareness, and offer opportunities to engage in social responsibility. We are proud to be an equal opportunity employer committed to providing employment opportunity regardless of sex, race, creed, color, gender, religion, marital status, domestic partner status, age, national origin or ancestry, physical or mental disability, medical condition, sexual orientation, pregnancy, military or veteran status, citizenship status, and genetic information. Illumina conducts background checks on applicants for whom a conditional offer of employment has been made. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable local, state, and federal laws. Background check results may potentially result in the withdrawal of a conditional offer of employment. The background check process and any decisions made as a result shall be made in accordance with all applicable local, state, and federal laws. Illumina prohibits the use of generative artificial intelligence (AI) in the application and interview process. If you require accommodation to complete the application or interview process, please contact accommodations@illumina.com. To learn more, visit: https://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf. The position will be posted until a final candidate is selected or the requisition has a sufficient number of qualified applicants. This role is not eligible for visa sponsorship. Show more Show less

We are the creators of a proprietary Intelligent Document Processing platform that automates data extraction from complex and messy unstructured documents. For over a decade, we've been building expertise in Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing, Neural Networks, and much more. We are building technology that has been disrupting the data extraction space for 8+ years now. And now, we are on the lookout for a motivated Senior Python Developer to join our Engineering team. In this role, you will help us build our product efficiently and solidly. Responsibilities Design and build AI-enhanced automation workflows using LLMs, AWS Bedrock, and prompt engineering. Leverage AI for intelligent data extraction, matching, and decision-making. Continuously evaluate and integrate emerging AI/ML techniques to improve automation. Work with customers to understand their automation and AI-driven workflow needs. Define LLM-powered enhancements for existing workflows. Improve data accuracy and efficiency with AI-driven matching techniques. Write scalable, maintainable Python code for AI-based automation and data pipelines. Build modular and reusable prompt engineering solutions for different workflows. Design APIs and integrations with LLM-powered workflows. Monitor production for issues and debug AI-driven workflows. Ensure scalability using AWS Lambda, containerization (Docker/K8s), and event-driven architectures. Implement logging, error handling, and observability for AI-driven automation. Work with junior engineers to drive automation solutions. Scale AI-driven workflow implementations across teams. Collaborate with cross-time-zone teams for global deployment. Requirements 3+ years of experience in Python development with a focus on automation, APIs, and scalable architectures. Python Expertise: Strong experience in writing modular, scalable, and production-ready Python code. LLMs and Prompt Engineering: Experience designing AI-powered workflows using AWS Bedrock, OpenAI API, or similar. Automation and AI Workflow Design: Proven track record of building AI-driven automation solutions. API Development and AI Integration: Experience designing RESTful APIs and integrating LLMs. Scalability and Performance Optimization: Experience with AWS Lambda, event-driven architectures, and containerization. Cloud and Serverless Computing: Deep understanding of AWS Bedrock, DynamoDB, S3 and serverless computing. Observability and Monitoring: Experience setting up AI/automation logging, tracing, and monitoring tools. Data Processing and AI-driven Matching: Expertise in data pipelines, NLP, vector databases (e. g., Pinecone, FAISS). Eager to Experiment and Use New Tech: Passionate about adopting AI, automation, and new frameworks to deliver faster and smarter solutions. This job was posted by Pavithra V from Infrrd. Show more Show less

About Us We're on a mission to make it possible for every person, team, and company to be able to tailor their software to solve any problem and take on any challenge. Computers may be our most powerful tools, but most of us can't build or modify the software we use on them every day. At Notion, we want to change this with focus, design, and craft. We've been working on this together since 2016, and have customers like OpenAI, Toyota, Figma, Ramp, and thousands more on this journey with us. Today, we're growing fast and excited for new teammates to join us who are the best at what they do. We're passionate about building a company as diverse and creative as the millions of people Notion reaches worldwide. Notion is an in person company, and currently requires its employees to come to the office for two Anchor Days (Mondays & Thursdays) and requests that employees spend the majority of their week in the office (including a third day). About The Role You will work closely with our enterprise customers and engineers to resolve the most complex issues. You will also help build out systems and processes to manage tasks from report to completion. You will problem solve with our technical teams and work to resolve as much as you can while scaling our systems and support processes. What You'll Achieve Work closely with our largest customers providing white-glove support to solve the most challenging support interactions. Build and maintain strong relationships with enterprise customers, ensuring high levels of engagement and satisfaction. Work cross-functionally across engineering and product to build processes and manage issues. Perform advanced troubleshooting of products and embedded partner applications. Reproduce customer issues, perform initial codebase triage, and file bugs with Engineering. Manage to key performance metrics defined within the Product Operations Team. Respond to high-priority customer issues. Create and maintain internal knowledge libraries and contribute to the creation of user-facing content. Skills You'll Need To Bring At least 3-5 years of experience in technical support, technical account management, or a similar role. Excellent interpersonal and engagement skills with enterprise customers. Strong troubleshooting skills for desktop applications on Windows and macOS. Knowledge of Single Sign-On (SSO) protocols, including OAuth, SAML, and SCIM. Proficiency in analyzing server and client application logs to identify errors. Proficiency troubleshooting REST APIs Strong written and verbal communication skills for technical and non-technical audiences. Ability to balance user expectations with policies and compliance boundaries. Ability to work under pressure while remaining focused and professional. Effective collaboration skills with peers and cross-functional teams in multiple locations. Nice To Haves Knowledge of Linux, APIs, NoSQL, MySQL, and similar open-source technologies. Experience with scripting languages such as Python, Java, JavaScript, or TypeScript. Experience with API testing tools such as Postman Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, colour, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know. Show more Show less

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III at JPMorgan Chase within the Corporate Technology Consumer and Community Banking Risk Technology team you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives. Job responsibilities Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Work with product managers, data scientists, ML engineers, and other stakeholders to understand requirements. Develop API/services for model deployment, ensuring scalability, reliability, and efficiency. Build applications to automate manual steps in MLOPs pipeline. Execute POC and for innovative ideas to solve complex business problems Stay informed about the latest trends and advancements in the latest LLM/GenAI research, implement cutting-edge techniques, and leverage external APIs for enhanced functionality. Adds to team culture of diversity, equity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 3+ years of applied experience. Proficient in programming languages like Python for model development, Python for BigData i.e. Pyspark, Spark SQL on EMR experience web application/ APIs need experience with AWS lambda, cloud gateway etc. Experimentation, and integration with OpenAI API. Experience is building API and restful services using Flask/Django/FastAPI Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Experience with cloud computing platforms (e.g., AWS, Azure, or Google Cloud Platform), containerization technologies (e.g., Docker and Kubernetes), and microservices design, implementation, and performance optimization. Understanding of fundamentals of machine learning and LLMs. Experience in applied AI/ML engineering, with a track record of deploying business critical machine learning models in production. Preferred qualifications, capabilities, and skills Familiarity with modern front-end technologies Familiarity with the financial services industries

Provectus helps companies adopt ML/AI to transform the ways they operate, compete, and drive value. The focus of the company is on building ML Infrastructure to drive end-to-end AI transformations, assisting businesses in adopting the right AI use cases, and scaling their AI initiatives organization-wide in such industries as Healthcare & Life Sciences, Retail & CPG, Media & Entertainment, Manufacturing, and Internet businesses. We are seeking a highly skilled Machine Learning (ML) Tech Lead with a strong background in Large Language Models (LLMs) and AWS Cloud services. The ideal candidate will oversee the development and deployment of cutting-edge AI solutions while managing a team of 5-10 engineers. This leadership role demands hands-on technical expertise, strategic planning, and team management capabilities to deliver innovative products at scale. Responsibilities: Leadership & Management Lead and manage a team of 5-10 engineers, providing mentorship and fostering a collaborative team environment; Drive the roadmap for machine learning projects aligned with business goals; Coordinate cross-functional efforts with product, data, and engineering teams to ensure seamless delivery. Machine Learning & LLM Expertise Design, develop, and fine-tune LLMs and other machine learning models to solve business problems; Evaluate and implement state-of-the-art LLM techniques for NLP tasks such as text generation, summarization, and entity extraction; Stay ahead of advancements in LLMs and apply emerging technologies; Expertise in multiple main fields of ML: NLP, Computer Vision, RL, deep learning and classical ML. AWS Cloud Expertise Architect and manage scalable ML solutions using AWS services (e.g., SageMaker, Lambda, Bedrock, S3, ECS, ECR, etc.); Optimize models and data pipelines for performance, scalability, and cost-efficiency in AWS; Ensure best practices in security, monitoring, and compliance within the cloud infrastructure. Technical Execution Oversee the entire ML lifecycle, from research and experimentation to production and maintenance; Implement MLOps and LLMOps practices to streamline model deployment and CI/CD workflows; Debug, troubleshoot, and optimize production ML models for performance. Team Development & Communication Conduct regular code reviews and ensure engineering standards are upheld; Facilitate professional growth and learning for the team through continuous feedback and guidance; Communicate progress, challenges, and solutions to stakeholders and senior leadership. Qualifications: Proven experience with LLMs and NLP frameworks (e.g., Hugging Face, OpenAI, or Anthropic models); Strong expertise in AWS Cloud Services; Strong experience in ML/AI, including at least 2 years in a leadership role; Hands-on experience with Python, TensorFlow/PyTorch, and model optimization; Familiarity with MLOps tools and best practices; Excellent problem-solving and decision-making abilities; Strong communication skills and the ability to lead cross-functional teams; Passion for mentoring and developing engineers.

Build and fine-tune Generative AI models (LLMs, diffusion models, etc.) for various applications. Work with agent and multi-agent frameworks to build task-specific or collaborative AI systems. Develop and deploy ML pipelines for training, inference, and evaluation. Collaborate with cross-functional teams (Product, Data Engineering, DevOps) to integrate ML models into products. Conduct data preprocessing, exploratory analysis, and feature engineering. Stay updated with state-of-the-art research in ML/GenAI and apply it to practical problems. Optimize models for performance, scalability, and efficiency. Work with APIs like OpenAI, AZURE OpenAI, and others for rapid prototyping and deployment. Contribute to internal tools and frameworks to support ML experimentation and monitoring. Required Skills & Qualifications Bachelors or Masters degree in Computer Science, Data Science, AI/ML, or related field. 3 to 5 years of hands-on experience in Machine Learning and/or NLP projects. Proficiency in Python and popular ML libraries (e.g., PyTorch, TensorFlow, Hugging Face Transformers). Practical experience with agent and/or multi-agent frameworks (e.g., LangGraph, CrewAI, AutoGen, AutoGPT, BabyAGI, etc.) is highly desirable. Experience working with LLMs (GPT, Claude, etc.). Familiarity with prompt engineering, RAG (Retrieval-Augmented Generation), and fine-tuning techniques. Strong understanding of data structures, algorithms, and ML concepts. Experience in deploying models using tools like Docker, FastAPI, Flask, or MLflow. Experience with vector databases (e.g., PG Vector, Pinecone, Weaviate). Knowledge of MLOps tools (e.g., MLflow, Kubeflow, Airflow). Publications or contributions to open-source projects in ML/GenAI. Familiarity with ethical AI principles and responsible AI practices. Show more Show less

Job Summary: We are looking for a highly motivated and technically versatile professional to lead, build, and train teams on No-Code/Low-Code AI automation solutions . The ideal candidate will spearhead automation projects, implement scalable AI-driven workflows, and deliver comprehensive training to empower teams and clients. Key Responsibilities: Automation Development & Implementation Design and build end-to-end automation solutions using no-code/low-code platforms (e.g., Power Automate, Zapier, Make, Airtable, Glide, AppSheet). Integrate AI tools (e.g., OpenAI API, ChatGPT, Microsoft Copilot, Google Vertex AI) with automation workflows. Automate business processes including CRM, HR, finance, marketing, and customer support. Ensure solutions are scalable, secure, and compliant with industry standards. Technical Leadership & Project Management Lead automation projects from concept to deployment. Collaborate with cross-functional teams to understand business needs and convert them into automation solutions. Define best practices, governance models, and documentation standards for no-code/AI projects. Evaluate and implement new tools in the no-code/AI ecosystem. Training & Enablement Develop training programs, learning materials, and documentation for internal teams or external clients. Conduct live sessions, hands-on workshops, and onboarding sessions on no-code platforms and AI integrations. Mentor junior developers and business users on no-code thinking and automation strategies. Stay up-to-date with platform updates and AI trends, sharing insights with the team. Required Skills and Qualifications: Bachelor's degree in Computer Science, Information Systems, or a related field (or equivalent experience). 2-3 years of experience with automation tools such as Power Automate, Zapier, Integromat, Airtable, Notion, etc. Proficiency in integrating APIs and AI tools like ChatGPT, GPT-4, LangChain, Hugging Face models, etc. Strong problem-solving and process mapping skills. Experience in delivering technical training or workshops. Excellent communication and stakeholder management skills. Working Location: Mohali(Punjab) Job Type: Full-time Pay: Up to ₹50,000.00 per month Benefits: Health insurance Schedule: Day shift Monday to Friday Morning shift Experience: AI Automation: 2 years (Preferred) Work Location: In person