1522 Openai Jobs - Page 32

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

Were Hiring | AI Data Analyst (8+ Years, Tech Lead Level) Location: Mahape, Navi Mumbai (Hybrid Work from Office) Joining: Immediate Joiners Preferred Role Overview We are looking for an experienced AI Data Analyst with 8+ years of professional experience, including leadership in tech projects. The ideal candidate should have strong expertise in Python , Machine Learning , AI APIs , and Large Language Models (LLMs) . Youll work on cutting-edge AI solutions, including vector-based search and data-driven business insights. Experience Must Include 2+ year of hands-on experience as a Data Analyst 1+ year of practical experience with AI systems (LLMs, AI APIs, or vector-based search) 2+ years of experience working with Machine Learning models/solutions 5+ years of hands-on Python programming Exposure to vector databases (e.g., pgvector, ChromaDB) is a plus Key Responsibilities Perform data exploration, profiling, and cleaning of large datasets Design, build, and evaluate ML and AI models to solve real-world problems Leverage LLM APIs, foundation models, and vector databases to deliver AI-driven insights Build end-to-end ML pipelines from preprocessing to deployment Create dashboards and visualizations for reporting and analysis Analyze model outputs and provide actionable insights to stakeholders Collaborate with engineering, product, and business teams to scale AI solutions Required Technical Skills Data Analysis Experience with real-world datasets, EDA, and data wrangling Visualization using Pandas, Seaborn, Plotly Machine Learning & AI Practical experience in classification, regression, clustering techniques Experience with Generative AI, LLMs, OpenAI/Hugging Face APIs, vector search Knowledge of RAG architecture and modern AI design patterns Skilled in model evaluation and hyperparameter tuning Programming & Tools Proficiency in Python (5+ years), with strong use of scikit-learn, NumPy, Pandas Expertise in SQL/PostgreSQL Hands-on experience with vector databases like pgvector, ChromaDB Familiarity with LLMs, embeddings, and foundation models Exposure to cloud platforms (AWS/SageMaker), Git, REST APIs, and Linux Nice to Have Experience with Scrapy, SpaCy, or OpenCV Knowledge of MLOps, model deployment, CI/CD pipelines Familiarity with PyTorch or TensorFlow Soft Skills Strong analytical thinking and problem-solving abilities Excellent verbal and written communication Self-motivated, proactive, and a great team player To Apply: Send your resume to [Insert Email] or apply via kajal.uklekar@arrkgroup.com Lets shape the future of AI together! Thanks & Regards, Kajal Uklekar Arrk Group Senior Manager-Talent Acquisition www.arrkgroup.com

Job Title: Full Stack Developer – AI Integration & Prompt Engineering Employment type: Full Time About the Role: We’re looking for a talented Full Stack Developer with strong JavaScript skills and hands-on experience integrating AI models like ChatGPT into web applications. If you’re passionate about AI, prompt engineering , and building intelligent, responsive web apps, this is the perfect opportunity. Key Responsibilities Build and maintain web applications using JavaScript frameworks (React.js, Node.js, Vue.js). Integrate AI/ML models and APIs (e.g., OpenAI) into scalable web applications. Design, test, and refine effective prompts to drive accurate and meaningful AI responses. Create smooth and responsive AI-driven user experiences , including chat interfaces. Optimize application performance, ensuring high responsiveness and scalability. Experiment with different prompting strategies to improve AI performance and user interaction. Collaborate closely with AI engineers, UI/UX designers, and backend developers to deliver cohesive features. Stay updated on the latest trends in AI/ML, NLP, and JavaScript frameworks . What We’re Looking For Strong experience with JavaScript, React, Redux, and TypeScript Proven ability to integrate AI APIs (e.g., OpenAI, GPT models) Hands-on experience in prompt engineering and AI model tuning Good understanding of Vector Search and AI application workflows Excellent English communication skills , both verbal and written Familiarity with frontend and backend web development best practices Why Join Us? Be at the forefront of AI innovation in real-world applications Work on exciting projects that merge web technology and artificial intelligence Collaborate with a passionate, forward-thinking team Job Type: Full-time Pay: ₹600,000.00 - ₹800,000.00 per year Ability to commute/relocate: Peelamedu, Coimbatore, Tamil Nadu: Reliably commute or planning to relocate before starting work (Preferred) Experience: AI: 1 year (Required) Work Location: In person

Job Listing Detail Summary Gainwell is seeking LLM Ops Engineers and ML Ops Engineers to join our growing AI/ML team. This role is responsible for developing, deploying, and maintaining scalable infrastructure and pipelines for Machine Learning (ML) models and Large Language Models (LLMs). You will play a critical role in ensuring smooth model lifecycle management, performance monitoring, version control, and compliance while collaborating closely with Data Scientists, DevOps. Your role in our mission Core LLM Ops Responsibilities: Develop and manage scalable deployment strategies specifically tailored for LLMs (GPT, Llama, Claude, etc.). Optimize LLM inference performance, including model parallelization, quantization, pruning, and fine-tuning pipelines. Integrate prompt management, version control, and retrieval-augmented generation (RAG) pipelines. Manage vector databases, embedding stores, and document stores used in conjunction with LLMs. Monitor hallucination rates, token usage, and overall cost optimization for LLM APIs or on-prem deployments. Continuously monitor models for its performance and ensure alert system in place. Ensure compliance with ethical AI practices, privacy regulations, and responsible AI guidelines in LLM workflows. Core ML Ops Responsibilities: Design, build, and maintain robust CI/CD pipelines for ML model training, validation, deployment, and monitoring. Implement version control, model registry, and reproducibility strategies for ML models. Automate data ingestion, feature engineering, and model retraining workflows. Monitor model performance, drift, and ensure proper alerting systems are in place. Implement security, compliance, and governance protocols for model deployment. Collaborate with Data Scientists to streamline model development and experimentation. What we're looking for Bachelor's/Master’s degree in computer science, Engineering, or related fields. Strong experience with ML Ops tools (Kubeflow, MLflow, TFX, SageMaker, etc.). Experience with LLM-specific tools and frameworks (LangChain,Lang Graph, LlamaIndex, Hugging Face, OpenAI APIs, Vector DBs like Pinecone, FAISS, Weavite, Chroma DB etc.). Solid experience in deploying models in cloud (AWS, Azure, GCP) and on-prem environments. Proficient in containerization (Docker, Kubernetes) and CI/CD practices. Familiarity with monitoring tools like Prometheus, Grafana, and ML observability platforms. Strong coding skills in Python, Bash, and familiarity with infrastructure-as-code tools (Terraform, Helm, etc.).Knowledge of healthcare AI applications and regulatory compliance (HIPAA, CMS) is a plus. Strong skills in Giskard, Deepeval etc. What you should expect in this role Fully Remote Opportunity – Work from anywhere in the India Minimal Travel Required – Occasional travel opportunities (0-10%). Opportunity to Work on Cutting-Edge AI Solutions in a mission-driven healthcare technology environment. Show more Show less

Position: Backend Engineer (Python) Experience: 5–8 Years Contract Duration: 3 Months Location: Remote Employment Type: Contract Start Date: Immediate/ASAP Job Summary: We are seeking a highly skilled Backend Engineer (Python) for a 3-month remote contract. You will be responsible for developing robust and scalable APIs, ensuring test-driven development (TDD) practices, and building backend systems that can scale efficiently. Prior experience with Large Language Model (LLM) integration is a strong plus. Key Responsibilities: Design, develop, and maintain RESTful APIs and backend services using Python Follow and advocate Test-Driven Development (TDD) practices to ensure code quality and reliability Build scalable and resilient backend systems that can handle high traffic and complex data flows Integrate external services and systems through APIs Collaborate closely with frontend engineers, product managers, and DevOps Write clean, maintainable, and well-documented code Optimize performance and troubleshoot production issues Conduct code reviews and mentor junior engineers when needed Required Skills: 5–8 years of professional backend development experience Strong proficiency in Python and frameworks such as FastAPI , Django , or Flask Experience with API design , RESTful principles , and OAuth/JWT Solid understanding of Test-Driven Development (TDD) using tools like pytest or unittest Experience building and maintaining scalable, distributed systems Proficiency in working with SQL and NoSQL databases (e.g., PostgreSQL, MongoDB) Familiarity with Docker , Git , and CI/CD pipelines Good understanding of software architecture and system design Preferred / Bonus Skills: Experience integrating or working with LLMs (Large Language Models) such as OpenAI, HuggingFace, etc. Experience with message queues (e.g., RabbitMQ, Kafka) Familiarity with cloud services (AWS/GCP/Azure) Knowledge of asynchronous programming (e.g., asyncio, aiohttp) What We Offer: Competitive contract compensation Flexible remote work setup Opportunity to work on innovative backend systems Exposure to cutting-edge AI/LLM use cases Show more Show less

Responsible for building, deploying, and maintaining AI/ML models and pipelines, with a focus on technical integrations and MLOps. Education: Bachelors in Computer Science, AI, or related field Skills: Python, Azure ML, Databricks, TensorFlow, Kubernetes, Docker, Prompt Engineering Integrations/GenAI: Generative LLMs (e.g., Azure OpenAI APIs) Collaboration Tools: Azure DevOps, Confluence Show more Show less

About ViewTrade: ViewTrade is the force that powers fintech and cross-border investing for financial services firms throughout the world. We provide the technology, support and brokerage services that business innovators need to quickly launch or enhance a retail, fintech, wealth, or cross boarder investing experience. Now in our third decade, our approach has helped 300+ firms – from technology startups to large banks, brokers, super apps, advisory, and wealth management – create the differentiating investment experiences their customer’s demand. With clients in over 29 countries and a team that brings decades of experience and understanding of financial services technology and services, we help our business clients deliver the investment access and financial solutions they require. Our Values: Expertise Integrity Solution Driven. Teamwork Long Term success Always winning Always learning Job Summary: Seeking an experienced Cloud Solutions Architect to design and oversee robust, scalable, secure, and cost-effective multi-cloud and hybrid (on-prem) infrastructure solutions. This role requires deep expertise in AI, particularly Generative AI workloads, and involves translating business needs into technical designs, providing technical leadership, and ensuring best practices across diverse environments . Key Responsibilities: Design and architect complex solutions across multi-cloud and hybrid (on-prem) environments (preferably AWS). Translate business/technical requirements into clear architectural designs and documentation. Develop cloud and hybrid adoption strategies and roadmaps. Architect infrastructure and data pipelines for AI/ML and Generative AI workloads (compute, storage, MLOps). Design on-premise to cloud/hybrid migration plans. Evaluate and recommend cloud services and technologies across multiple providers. Define and enforce architectural standards (security, cost, reliability). Provide technical guidance and collaborate with engineering, ops, and security teams. Architect third-party integrations and collaborate on cybersecurity initiatives. Required Qualifications: Around 12+ years IT experience with 5+ years as a Cloud/Solutions Architect role Proven experience architecting/implementing solutions on at least two major public cloud platforms (e.g., AWS, Azure, GCP). AWS preferred. Strong hybrid (on-prem) and migration experience. Demonstrated experience architecting infrastructure for AI/ML/GenAI workloads (compute, data, deployment patterns). Deep understanding of cloud networking, security, and cost optimization. Proficiency in IaC (Terraform/CloudFormation/ARM), containers (Docker/Kubernetes), serverless. Familiarity with FinOps concepts. Excellent communication and problem-solving skills. Preferred Qualifications: Experience with cloud cost management and optimization strategies (FinOps) in a multi-setup environment. Experience with specific GenAI && MLOps platforms and tools ( OpenAI, Google AI, hugging face, Github Co-pilot , AWS sagemaker, AWS Bedrock, MLflow, Kubeflow, Feast, ZenML ) Good understanding of on-premise data center architecture, infrastructure (compute, storage, networking), virtualization, and experience designing and implementing hybrid cloud solutions and on-premise to cloud migration strategies. Experience in the Fintech industry. What does ViewTradebring to the table : Opportunity to do what your current firm may be hesitant to do. An informal and self-managed work culture. Freedom to experiment with new ideas and technologies. A highly motivating work environment where you learn exponentially and grow with the organization. An opportunity to create an impact at scale. Location: GIFT CITY, Gandhinagar Experience: 12+ years We are an equal opportunity employer and all qualified applicants will receive consideration for employment withoutregard to race, color, religion,sex, disability status,or any other characteristic protected by the law. Show more Show less

Organization: At CommBank, we never lose sight of the role we play in other people’s financial wellbeing. Our focus is to help people and businesses move forward to progress. To make the right financial decisions and achieve their dreams, targets, and aspirations. Regardless of where you work within our organisation, your initiative, talent, ideas, and energy all contribute to the impact that we can make with our work. Together we can achieve great things. Job Title: Data Scientist Location: Bangalore Business & Team: Analytics BB Impact & contribution: As a Data Scientist, you will have the opportunity to apply your quantitative and computational skills within an applied and production-oriented R&D function within the group, focusing on cutting-edge deep learning and generative AI techniques. Your role will have a significant impact on our innovation capabilities and business processes by leveraging these advanced technologies Roles & Responsibilities: Model Development: Design and implement deep learning models, focusing on Generative AI applications like text generation, image synthesis, personalized recommendations, or autonomous decision-making. Fine-tune and adapt pre-trained models (e.g., GPT, DALL-E, Stable Diffusion) for specific tasks. Develop foundational components of multi-agent systems where agents use AI to collaborate or solve problems. Multi-Agent Integration: Build and test individual AI agents and integrate them into a multi-agent framework using libraries such as Ray, OpenAI API, or custom architectures. Design communication protocols between agents and their environment. End-to-End Deployment: Contribute to the deployment of at least one Generative AI model or a multi-agent application in production, ensuring scalability and performance. Collaboration and Research: Work closely with cross-functional teams to integrate Generative AI models into multi-agent solutions. Stay updated with advancements in Generative AI and multi-agent systems and experiment with cutting-edge technologies. Documentation: Maintain detailed documentation of experiments, models, and processes for reproducibility and team collaboration. Essential Skills: 5+ years of experience Proficiency with PyTorch, TensorFlow, or similar frameworks. Experience with LLM fine-tuning, prompt engineering, and model optimization. Familiarity with multi-agent frameworks like Ray, LangChain, or custom architectures. Working knowledge of distributed systems and cloud platforms (AWS, GCP, Azure). Education Qualifications: Bachelor’s degree in Engineering ( Computer Science/Information Technology). If you're already part of the Commonwealth Bank Group (including Bankwest, x15ventures), you'll need to apply through Sidekick to submit a valid application. We’re keen to support you with the next step in your career. We're aware of some accessibility issues on this site, particularly for screen reader users. We want to make finding your dream job as easy as possible, so if you require additional support please contact HR Direct on 1800 989 696. Advertising End Date: 18/06/2025 Show more Show less

Who You'll Work With You are someone who thrives in a high-performance environment, bringing a growth mindset and entrepreneurial spirit to tackle meaningful challenges that have a real impact. In return for your drive, determination, and curiosity, we’ll provide the resources, mentorship, and opportunities to help you quickly broaden your expertise, grow into a well-rounded professional, and contribute to work that truly makes a difference. When you join us, you will have Continuous learning Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey. A voice that matters From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes. Global community With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us come up with the best solutions. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences. Exceptional benefits In addition to a competitive salary (based on your location, experience, and skills), we offer a comprehensive benefits package, including medical, dental, mental health, and vision coverage for you, your spouse/partner, and children. Your Impact You will engage with our world-class consulting, engineering and program teams to lead financial reporting based on ERP. In this role, you will operate cross-functionally in firm economics initiatives and translate client business needs to a reporting solution using BI tools and advanced analytics (AI/ML) concepts. You will be involved in innovative generative AI (gen AI) development leveraging SAP Business Technology Platform (BTP) AI services along with basic HANA Cloud skills. You will be responsible for designing, developing, and deploying gen AI-powered solutions that enhance enterprise processes and decision-making. This role will involve working with SAP AI Core/AI Launchpad, integrating Large Language Models (LLMs), and embedding gen AI capabilities into SAP applications and data flows using tools like HANA Cloud Vector Engine. You will focus on business drivers and system functionality to influence senior firm and client stakeholders while providing architecture and delivery of the full reporting and business system vision. You will work side-by-side with strategic consultants, leveraging, and learning best practices in client service, issue synthesis and problem resolution. The scope of your work will include advanced analytics transactional core, analytics hubs, and reporting and visualization layers. Additionally, you will be a core member of the McKinsey tech team with responsibilities that range from shaping and implementing strategic products and solutions to ensuring that McKinsey’s craft stays on the leading edge of technology and industry best practices. You will be based in Gurgaon as part of McKinsey Global Capabilities & Services Pvt Limited (MGCS). As part of this group, you’ll join a global team working on everything from IT modernization and strategy to agile, cloud, cybersecurity, and digital transformation. You’ll typically work on Finance function and will be fully integrated with the rest of our global firm. You’ll also work with colleagues from across McKinsey & Company to help our partner & finance communities to understand their studies financials and provide insights. Our office culture is casual and social, with an emphasis on education and innovation. We have the freedom to try new ideas, experiment and are expected to be constantly learning and growing. There is also a strong emphasis on mentoring others in the group, enabling them to grow and learn. Your Qualifications and Skills University degree in computer science, engineering or equivalent area. 3+ years of experience in Design and implementation of conversational agents, co-pilot-style UIs, and AI-based assistants for enterprise use cases. At least 1 End to End implementation experience in developing and deploying gen AI solutions using SAP BTP, SAP AI Core, and SAP AI Launchpad. Utilize SAP HANA Cloud Vector Engine to store, retrieve, and query embeddings for retrieval-augmented generation (RAG) use cases and knowledge on knowledge graph. Fine-tune and/or integrate Large Language Models (e.g., OpenAI, Falcon, LLaMA) to solve business problems. Good knowledge of SQL. SAP Financial reporting knowledge is plus. Proven track record of applying expertise to deliver business impact and influencing executives to set strategic directions. Strong analytical and problem-solving skills paired with the ability to develop creative and efficient solutions. Ability to collaborate effectively at all levels of an organization and to work both independently and in various team settings. Ability to work under pressure and manage client expectations effectively. Show more Show less