2959 Openai Jobs - Page 21

About Rivi We build AI-first products across travel and beyond. We’re looking for a backend-builder passionate about scalable APIs, microservices, databases, and LLM integrations to power seamless, high-performance AI tools for our customers. What you’ll do Design, build, and version REST + gRPC microservices in Python / Node.js / TypeScript. Model and tune SQL (Postgres) and NoSQL + vector DBs for RAG pipelines. Deliver fast, secure, scalable systems on Docker / Kubernetes (AWS / GCP); instrument CI/CD, SLOs, and observability. Create prompt libraries, agent frameworks, and end-to-end RAG flows (chunking, embeddings, vector search, grounding). Enable real-time chat via WebSockets / server-sent events. Ship features with product / AI / design teams - from concept to deployment. What we're looking for 2–4 yrs production backend work in Python, Node.js, or TypeScript. Solid grasp of HTTP, gRPC, WebSockets, load-balancing, and micro-service patterns. Strong DB skills: normalization, indexing, transactions; plus NoSQL & vector stores. Hands-on with LLM tooling - OpenAI, Gemini, Claude, LangChain/LangGraph/LangFuse, RAG, MCP, Evals Familiar with SRE best practices—monitoring, alerting, incident response. CS degree (or equivalent experience) and a self-driven, ownership mindset. Why join Rivi Shape next-gen AI interfaces at scale. Own your projects from concept to launch. Work with cutting-edge AI. Remote-first, fast-moving, and globally impactful. How to apply Apply on LinkedIn or send your CV to hr@rivi.co Start: Between July 15 and August 15 Location: Remote

CORTEX is looking for an experienced Senior Full Stack Developer to lead the development of scalable, intelligent applications on Azure using OpenAI technologies. Senior Full Stack Developer – GenAI & Chatbots | Azure | Node.js | PythoN REMOTE JOB Everyday slot availble Must-Have Skills 8+ years of experience in full stack development (Node.js, Python, and modern web technologies) Proven experience building and scaling chatbots and Gen AI applications on Azure Deep knowledge of OpenAI APIs, prompt engineering, and LLM integration Strong hands-on experience with Retrieval-Augmented Generation (RAG) systems This job is posted by Aishwarya K CORTEX CONSULTANTS, CHENNAI

Job Title: AI Research Engineer – Private LLM & Cognitive Systems 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

We are seeking a visionary AI Architect to lead the design and integration of cutting-edge AI systems, including Generative AI , Large Language Models (LLMs) , multi-agent orchestration , and retrieval-augmented generation (RAG) frameworks. This role demands a strong technical foundation in machine learning, deep learning, and AI infrastructure, along with hands-on experience in building scalable, production-grade AI systems on the cloud. The ideal candidate combines architectural leadership with hands-on proficiency in modern AI frameworks, and can translate complex business goals into innovative, AI-driven technical solutions. Primary Stack & Tools: Languages : Python, SQL, Bash ML/AI Frameworks : PyTorch, TensorFlow, Scikit-learn, Hugging Face Transformers GenAI & LLM Tooling : OpenAI APIs, LangChain, LlamaIndex, Cohere, Claude, Azure OpenAI Agentic & Multi-Agent Frameworks : LangGraph, CrewAI, Agno, AutoGen Search & Retrieval : FAISS, Pinecone, Weaviate, Elasticsearch Cloud Platforms : AWS, GCP, Azure (preferred: Vertex AI, SageMaker, Bedrock) MLOps & DevOps : MLflow, Kubeflow, Docker, Kubernetes, CI/CD pipelines, Terraform, FAST API Data Tools : Snowflake, BigQuery, Spark, Airflow Key Responsibilities: Architect scalable and secure AI systems leveraging LLMs , GenAI , and multi-agent frameworks to support diverse enterprise use cases (e.g., automation, personalization, intelligent search). Design and oversee implementation of retrieval-augmented generation (RAG) pipelines integrating vector databases, LLMs, and proprietary knowledge bases. Build robust agentic workflows using tools like LangGraph , CrewAI , or Agno , enabling autonomous task execution, planning, memory, and tool use. Collaborate with product, engineering, and data teams to translate business requirements into architectural blueprints and technical roadmaps. Define and enforce AI/ML infrastructure best practices , including security, scalability, observability, and model governance. Manage technical road-map, sprint cadence, and 3–5 AI engineers; coach on best practices. Lead AI solution design reviews and ensure alignment with compliance, ethics, and responsible AI standards. Evaluate emerging GenAI & agentic tools; run proofs-of-concept and guide build-vs-buy decisions. Qualifications: 10+ years of experience in AI/ML engineering or data science, with 3+ years in AI architecture or system design. Proven experience designing and deploying LLM-based solutions at scale, including fine-tuning , prompt engineering , and RAG-based systems . Strong understanding of agentic AI design principles , multi-agent orchestration , and tool-augmented LLMs . Proficiency with cloud-native ML/AI services and infrastructure design across AWS, GCP, or Azure. Deep expertise in model lifecycle management, MLOps, and deployment workflows (batch, real-time, streaming). Familiarity with data governance , AI ethics , and security considerations in production-grade systems. Excellent communication and leadership skills, with the ability to influence technical and business stakeholders.

AI Prompt Strategist & Stakeholder Liaison This role requires working from our local Hyderabad office 2-3x a week. Location: Hyderabad, Telangana, India If this role interests you, please apply here to get your application noticed- Careers The Generative AI Enablement team bridges cutting-edge AI innovation with real-world business impact. As an AI Prompt Strategist & Stakeholder Liaison, you will act as the vital link between technical AI teams and business stakeholders, ensuring AI solutions align with strategic goals and drive measurable value. Your work will accelerate the adoption of GenAI across ABC’s global operations, transforming experimental prototypes into scalable, user-centric solutions. At ABC, we love entrepreneurs because we are entrepreneurs. We roll our sleeves up, we act fast, and we learn together. WHAT YOU’LL DO Lead AI-business alignment: Partner with product, marketing, and operations teams to translate business objectives into actionable prompt strategies for GPT-4, Claude, and Azure OpenAI models. Design enterprise prompt frameworks: Develop reusable prompt templates and guardrails that balance creativity with compliance, reducing hallucination risks by 40% in customer-facing AI features. Drive POC-to-production scaling: Create adoption roadmaps for successful AI prototypes, including training programs, documentation, and change management plans for 500+ global users. Optimize cross-functional collaboration: Facilitate weekly alignment sessions between engineers, designers, and business leads to prioritize high-impact AI use cases. Implement feedback loops: Analyze user interactions across 10+ AI tools to identify improvement opportunities, delivering monthly performance reports to executive stakeholders. WHAT YOU’LL NEED 7+ years in product management, technical solutions, or UX design, with 3+ years specializing in AI/GenAI implementations. Expertise in prompt engineering techniques: Zero-shot prompting, chain-of-thought reasoning, and persona-based query optimization. Proficiency with GenAI platforms: ChatGPT, Claude, LangChain, and Azure OpenAI Studio. Demonstrated success in change management: Led adoption of new technologies for 200+ users through workshops, sandbox environments, and metrics-driven rollout plans. Advanced stakeholder communication: Ability to simplify technical AI concepts for C-suite audiences while providing detailed guidance to engineering teams. AND ITS NICE TO HAVE Certifications in AI product management (Microsoft AI-102) or prompt engineering (Prompt Engineering Institute). Experience with fitness-tech AI applications: Member engagement bots, personalized workout generators, or equipment maintenance predictors. Fluency in Agile methodologies: Managed AI projects using Jira/Confluence with 95% sprint completion rates. ABC FITNESS’S COMMITMENT TO DIVERSITY, EQUALITY, BELONGING AND INCLUSION ABC Fitness is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We are intentional about creating an environment where employees, our clients, and other stakeholders feel valued and inspired to reach their full potential and make authentic connections. We foster a workplace culture that embraces each person’s diversity, including the extent to which they are similar or different. ABC Fitness leaders believe that an equitable and inclusive culture is not only the right thing to do, it is a business imperative. Read more about our commitment to diversity, equality, belonging and inclusion at abcfitness.com/careers. WHAT’S IN IT FOR YOU: Purpose led company with a Values focused culture – Best Life, One Team, Growth Mindset Time Off – competitive PTO plans with 15 Earned accrued leave, 12 days Sick leave, and 12 days Casual leave per year 11 Holidays plus 4 Days of Disconnect – once a quarter, we take a collective breather and enjoy a day off together around the globe. #oneteam Group Mediclaim insurance coverage of INR 500,000 for employee + spouse, 2 kids, and parents or parent-in-laws, and including EAP counseling Life Insurance and Personal Accident Insurance Best Life Perk – we are committed to meeting you wherever you are in your fitness journey with a quarterly reimbursement Premium Calm App – enjoy tranquility with a Calm App subscription for you and up to 4 dependents over the age of 16 Support for working women with financial aid towards crèche facility, ensuring a safe and nurturing environment for their little ones while they focus on their careers. We’re committed to diversity and passion, and encourage you to apply, even if you don’t demonstrate all the listed skillsets!

Job Title: Data Science Trainer Location: Ducat India – [Delhi & Noida] Job Type: Full-Time Experience Required: Minimum 3+ Years in Training or Industry Projects About Ducat India: Ducat India, a leading name in IT training and development, has been shaping tech professionals for over two decades. With 9 branches across the NCR including Noida, New Delhi, Gurugram, Faridabad, and Noida Extension, we offer cutting-edge training in the latest technologies. To know more, visit: www.ducatindia.com Job Description: We are looking for a passionate and experienced Data Science Trainer to deliver high-quality training sessions and workshops. The ideal candidate should have deep knowledge of data science concepts and practical experience in machine learning, artificial intelligence and associated technologies. Key Responsibilities: Conduct training sessions on Data Science, Machine Learning, Deep Learning, Gen AI, Python and AI Tools . Design and deliver engaging training content, assessments and projects. Guide students on capstone projects and industry-based use cases. Keep updated with the latest trends and advancements in the data and AI ecosystem. Evaluate students’ performance and provide constructive feedback. Collaborate with internal team for curriculum development and improvements. Required Skillsets: Strong expertise in Python programming Hands-on experience with Data Science libraries (Pandas, NumPy, Matplotlib, etc.) Proficient in Machine Learning algorithms & model building Knowledge of Deep Learning frameworks Experience with Gen AI tools like OpenAI, LLMs, ChatGPT, LangChain, etc. Understanding of AI concepts, NLP, CV, and deployment techniques Good presentation and communication skills Prior teaching or mentoring experience is preferred Qualifications: Bachelor’s/Master’s degree in Computer Science, Data Science, Engineering or a related field Professional certifications in AI/ML/Data Science will be a plus Perks & Benefits: Exposure to real-time projects and tools Opportunity to train aspiring professionals and freshers Flexible working options (for part-time/freelancers) Dynamic and growth-driven environment How to Apply: Interested candidates can contact at +91-9205783661 OR share their resume at hr@ducatindia.com with subject line: “Application for Data Science Trainer ” . Job Type: Full-time Pay: ₹300,000.00 - ₹600,000.00 per year Schedule: Day shift Experience: Training: 1 year (Required) Work Location: In person

Timing : 2 to 11 PM Work Location : Chennai & Hyderabad & Bangalore Primary Skill : Playwright Secondary Skill : AI, ML, Gen AI, Copilot, Chatgpt Job Description : 7+ years of experience in software testing with at least 2 years focused on AI/ML integration Strong proficiency in Python, R, or similar languages used for AI/ML development Experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn, etc.) Knowledge of Large Language Models and their integration via APIs (OpenAI, Anthropic, Google AI, etc.) Understanding of natural language processing, computer vision, and deep learning concepts Experience with AI/ML model training, validation, and deployment in production environments Knowledge of prompt engineering and fine-tuning techniques for LLMs. Testing & Automation Expertise Strong background in test automation frameworks (Selenium, Playwright, Cypress, REST Assured, etc.) Experience with API testing, performance testing, and security testing methodologies Knowledge of CI/CD tools and DevOps practices Understanding of various testing types including functional, non-functional, and exploratory testing Experience with test management tools and defect tracking systems Knowledge of cloud platforms (AWS, Azure, GCP) and containerization technologies Programming & Development Proficiency in multiple programming languages (Python, Java, JavaScript, C#, etc.) Experience with database technologies and SQL for test data management Knowledge of version control systems (Git) and collaborative development practices Understanding of software architecture patterns and design principles Experience with API development and integration techniques

Company: MetaForData Technologies Pvt. Ltd. Location : Pune | Hybrid | Remote flexibility Experience : 15+ Years Role Overview: We are seeking an accomplished Solution Architect with deep expertise in Cloud platforms (AWS/Azure/GCP) and AI/ML-driven solutioning. This strategic role involves architecting scalable, secure, and intelligent systems across diverse industries. You will collaborate with cross-functional teams to design next-gen platforms, mentor engineering teams, and influence technology vision. Key Responsibilities: Lead end-to-end architecture for large-scale, cloud-native platforms integrating AI/ML capabilities Design and review solutions that scale across hybrid/multi-cloud environments (AWS/Azure/GCP) Translate business requirements into technical strategies and reference architectures Guide data engineering, ML Ops, DevOps, and platform teams in implementing reusable components Define and govern architectural best practices, security standards, and compliance (e.g., GDPR, HIPAA) Collaborate with product leaders, delivery managers, and clients to ensure architectural alignment Evaluate emerging technologies, prototype solutions, and drive innovation adoption Contribute to client proposals, solution demos, and technical leadership in pre-sales Required Skills & Qualifications : 15+ years of experience in enterprise IT with at least 5 years as a Solution Architect Proven expertise in designing distributed systems on AWS / Azure / GCP Hands-on experience in building and deploying AI/ML models, pipelines, and intelligent platforms Strong understanding of data architecture, data lakes, ML Ops, and real-time analytics Proficient in Python, Java, or equivalent, and modern ML frameworks (TensorFlow, PyTorch, etc.) Familiarity with API-led integration, microservices, containerization (Docker, Kubernetes) Solid grasp of security, compliance frameworks, and governance models Strong stakeholder communication and team mentorship abilities Good to Have: Certifications: AWS/Azure/GCP Architect, TOGAF, or equivalent Experience in regulated domains such as healthcare, finance, or agriculture tech Exposure to generative AI (e.g., OpenAI, LLM-based architectures) Why Join MetaForData? Work on real-world AI and data transformation projects across industries Lead with autonomy and innovation in a fast-growing, impact-driven environment Be part of a leadership ecosystem that values vision, ethics, and engineering excellence Competitive compensation + equity options + performance incentives Apply Now: If you’re a visionary technologist with a passion for scalable solutions and intelligent systems, we’d love to connect. 📩 careers@metafordata.com | 🌐 www.metafordata.com

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NA Minimum 5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies into effective solutions that address real-world challenges. Roles & Responsibilities: - Expected to be an SME, collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Lead the design and implementation of AI-driven applications, ensuring they are scalable and maintainable. - Mentor junior team members, fostering a culture of learning and innovation. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models. - Strong understanding of deep learning frameworks such as TensorFlow or PyTorch. - Experience with cloud platforms like AWS, Azure, or Google Cloud for deploying AI solutions. - Familiarity with natural language processing techniques and tools. - Ability to work with data preprocessing and feature engineering for model training. -Strong programming skills in Python, RAG, Prompt Engineering, RAI, OpenAI APIs, Lang Chain, expert working knowledge on OpenAI / Gemini models, Agentic framework, Code Conversion experience for reverse and forward engineering Additional Information: - The candidate should have minimum 5 years of experience in Large Language Models. - This position is based at our Chennai office. - A 15 years full time education is required.

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NA Minimum 7.5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies into effective solutions that address real-world challenges. Roles & Responsibilities: - Expected to be an SME, collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Lead the design and implementation of AI-driven applications, ensuring they are scalable and maintainable. - Mentor junior team members, fostering a culture of learning and innovation. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models. - Strong understanding of deep learning frameworks such as TensorFlow or PyTorch. - Experience with cloud platforms and services, particularly in deploying AI solutions. - Familiarity with natural language processing techniques and tools. - Ability to work with data preprocessing and feature engineering for model training. -Strong programming skills in Python, RAG, Prompt Engineering, RAI, OpenAI APIs, Lang Chain, expert working knowledge on OpenAI / Gemini models, Agentic framework, Code Conversion experience for reverse and forward engineering Additional Information: - The candidate should have minimum 7.5 years of experience in Large Language Models. - This position is based in Chennai. - A 15 years full time education is required.

About the Role We are looking for Sr.AI and Machine Learning engineer who want to help shape the future of Financial Services clients and our company. As part of the team, you will get to · Work directly with our founding team and be a core member. · Apply the latest AI techniques to solve real problems faced by Financial Services clients. · Design, build, and refine datasets to evaluate and continuously improve our solutions. · Participate in strategy and product ideation sessions, influencing our product and solution roadmap. Key Responsibilities · Agentic AI Development : Work on building scalable multi-modal Large Language Model (LLM) based AI agents, leveraging frameworks such as LangGraph, Microsoft Autogen, or Crewai. · AI Research and Innovation : Research and build innovative solutions to relevant AI problems, including Retrieval-Augmented Generation (RAG), semantic search, knowledge representation, tool usage, fine-tuning, and reasoning in LLMs. · Technical Expertise : Proficiency in a technology stack that includes Python, LlamaIndex / LangChain, PyTorch, HuggingFace, FastAPI, Postgres, SQLAlchemy, Alembic, OpenAI, Docker, Azure, Typescript, and React. · LLM and NLP Experience : Hands-on experience working with LLMs, RAG architectures, Natural Language Processing (NLP), or applying Machine Learning to solve real-world problems. · Dataset Development : Strong track record of building datasets for training and/or evaluating machine learning models. · Customer Focus : Enjoy diving deep into the domain, understanding the problem, and focusing on delivering value to the customer. · Adaptability : Thrive in a fast-paced environment and are excited about joining an early-stage venture. · Model Deployment and Management : Automate model deployment, monitoring, and retraining processes. · Collaboration and Optimization : Collaborate with data scientists to review, refactor, and optimize machine learning code. · Version Control and Governance : Implement version control and governance for models and data. Required Qualifications: · Bachelor's degree in computer science, Software Engineering, or a related field · 4-8 years of experience in MLOps, DevOps, or related roles Have strong programming experience and familiarity with Python based deep learning frameworks like Pytorch, JAX, Tensorflow Have strong familiarity and knowledge of machine learning concepts · Proficiency in cloud platforms (AWS, Azure, or GCP) and infrastructure-as-code tools like Terraform Desired Skills: · Experience with experiment tracking and model versioning tools You have experience with technology stack: Python, LlamaIndex / LangChain, PyTorch, HuggingFace, FastAPI, Postgres, SQLAlchemy, Alembic, OpenAI, Docker, Azure, Typescript, React. · Knowledge of data pipeline orchestration tools like Apache Airflow or Prefect · Familiarity with software testing and test automation practices · Understanding of ethical considerations in machine learning deployments · Strong problem-solving skills and ability to work in a fast-paced environment

Contract Type: Regular If the chemistry is right, we can make a difference at LANXESS: speed up sports, make beverages last longer, add more color to leisure time and much more. As a leading specialty chemicals group, we develop and produce chemical intermediates, additives, specialty chemicals and high-tech plastics. With more than 13,000 employees. Be part of it! Job Highlights Design, implement, and manage robust development and CI/CD pipelines for Generative AI application using frameworks like LangChain, LangGraph. Integrate LLMs (e.g., Azure OpenAI) into production-grade systems. Follow best practices across all stages of the SDLC including requirements, design, coding, testing, and deployment. Collaborate with cross-functional teams including ML engineers, DevOps, and product managers. Maintain documentation, unit tests, and code reviews for robustness and maintainability. Requirements Specific Education - Engineering / Graduate in Computer Science or relevant field of studies. Work Experience - 3 to 5 years. Special Skills - Python, LangChain, LangGraph, CoPilot Studio. RAG (Retrieval-Augmented Generation). Docker, Git/GitHub/GitLab, REST APIs, Fast API. Vector databases (e.g., Pinecone, Chroma, FAISS). Azure AI Foundry. What We Offer You Compensation: We offer competitive compensation packages, inclusive of a global bonus program and an individual performance bonus program. Comprehensive Benefits: We provide a mixture of various benefits to support your financial security, health and wellbeing including retirement plans, health programs, life insurance and medical care. Work-Life & Flexibility: We support you in maintaining a balance between working hours and personal life. With our global “Xwork” program, we offer flexible working arrangements in all countries in which we operate. Training & Development: We are committed to your professional and personal development and encourage you in the ongoing pursuit of education, training and knowledge through both formal and informal learning. Diversity: For us, talent matters, we welcome everyone who commits to our values. We strongly believe that including diverse perspectives makes us more innovative and enhances our competitiveness. Therefore, we embrace the uniqueness of every single individual and are truly committed to supporting our people in developing their individual potential. Join the LANXESS team!

Company Description kuubiik is a global consulting company headquartered in Singapore, operating in over 150 countries. We specialize in outsourcing and project-based solutions for various business functions. Our diverse team includes professionals from Asia, Europe, and the Americas. Renowned brands such as Google, TikTok, HP, and TELUS have trusted our services for their business needs. Job Title : Web Developer (AI Integration) Client Location: United Kingdom Timezone: 9 AM – 6 PM UK Time Contract Type: Full-Time (3-Month Initial Contract, with Potential Extension) Monthly Salary: USD 600 - 850 Job Overview We’re hiring a Web Developer with experience in AI integration to support a UK-based client in the yacht management and brokerage industry. This is a unique opportunity to work on a greenfield project focused on building a customer-facing portal powered by automation and intelligent workflows. You’ll play a key role in the development of a system that supports both end-user experience and internal digital transformation. Ideal candidates are experienced in full-stack development, have exposure to AI/ML technologies (such as OpenAI/GPT), and are excited to build from the ground up. Key Responsibilities Design and develop a customer-facing web portal with automation and AI-driven workflows Integrate AI/ML features such as chatbots, recommendation engines, or task automation Translate business and functional requirements into scalable and secure technical solutions Implement user authentication and access control Build and maintain APIs and ensure third-party tool integrations Ensure responsive, mobile-friendly design and cross-browser compatibility Participate in sprint planning, reviews, and remote stand-ups Work independently with high accountability in a remote setup Must-Have Skills 3+ years of experience in web development (SaaS or product-driven environment preferred) Strong proficiency in JavaScript and modern front-end frameworks (React.js or Vue.js) Back-end development experience with Node.js, Python, or equivalent Experience integrating AI APIs or working with tools like OpenAI/GPT, NLP libraries, etc. Familiarity with RESTful APIs, authentication protocols (OAuth, JWT), and secure coding practices Knowledge of cloud platforms (AWS, Azure, or GCP is a plus) Strong understanding of how to translate business logic into automated workflows Excellent communication skills in English Why This Role Be the founding developer of a digital system in a traditionally offline industry Direct access to key decision-makers and a fast-moving environment Flexible, remote-first working culture Long-term growth potential, with opportunity to extend for 12 months and beyond

Key Responsibilities Frontend (React Native) Develop and maintain a cross-platform mobile app using React Native. Build responsive UIs with libraries like React Native Paper or NativeBase. Manage app state efficiently using Redux Toolkit, Zustand, or Recoil. Implement smooth navigation with React Navigation. Integrate real-time features (WebRTC for video/audio, Firebase Cloud Messaging for push notifications). Embed third-party apps securely using React Native WebView and OAuth. Integrate payment gateways (Stripe, Razorpay, PayPal). Backend (Node.js) Design and develop scalable RESTful APIs using Node.js and Express.js. Work with PostgreSQL (structured data) and Firebase Firestore (real-time sync). Implement authentication/authorization (Firebase Auth, OAuth 2.0). Enable real-time communication using Socket.io (chat, notifications). Optimize backend performance with caching (Redis) and CDN (Cloudflare). Write serverless functions (Firebase Cloud Functions, AWS Lambda). DevOps & Infrastructure Deploy and manage cloud services (AWS Amplify, Firebase Hosting). Set up CI/CD pipelines (GitHub Actions, Fastlane). Monitor performance and errors (Sentry, LogRocket). Ensure scalability with load balancing (Nginx, AWS ELB). Required Skills & Qualifications 5+ years of full-stack development experience (React Native + Node.js). Strong proficiency in JavaScript/TypeScript. Frontend: React Native, state management, UI libraries, real-time integrations. Backend: Node.js, Express.js, PostgreSQL, Firebase, API design. Experience with authentication (OAuth, JWT, Firebase Auth). Knowledge of WebSockets (Socket.io) and real-time databases. Familiarity with cloud platforms (AWS, Firebase) and DevOps tools. Understanding of microservices architecture is a plus. Preferred Qualifications Experience with WebRTC for video/audio streaming. Knowledge of payment gateway integrations (Stripe, PayPal). Familiarity with AI APIs (OpenAI, Gemini) or multimedia APIs (YouTube, Spotify). Experience in performance optimization (caching, lazy loading). Job Type: Full-time Pay: ₹431,472.63 - ₹1,633,966.70 per year Schedule: Day shift Experience: React Native: 3 years (Required) Node.js: 3 years (Required) Location: Bengaluru, Karnataka (Required) Work Location: In person

Job Title - Gen AI Led Marketing Reinvention Strategy Lead – Senior Manager - GN SONG Management 06 – Senior Manager Location: Delhi/ Mumbai/Bangalore/Gurgaon/Hyderabad Must have skills: Generative AI Good to have skills: marketing strategy, AI/Gen AI, agentic AI, agency experience, and Marketing OS experience. Job Summary: The Strategy & Consulting Global Network Song (S&C GN Song) practice works with clients across their marketing, sales and services and customer engagement functions. Our services help our clients become living businesses by optimizing their marketing, sales, and customer service strategy, thereby driving cost reduction, enhancing revenue, improving customer satisfaction, and impacting front end business metrics in a positive manner. We are seeking a visionary Senior Manager to lead and scale our Gen AI-led Marketing Reinvention Strategy offering. This role is designed for a strategic thinker and thought leader with deep expertise in Generative AI, marketing transformation, and business consulting with proven leadership skills. You will work at the intersection of strategy, operating model transformation, and AI/Gen AI innovation, helping CMOs and CDOs unlock next-gen marketing capabilities. As a subject matter expert and business builder, you will shape offerings, drive market conversations, and develop compelling client value propositions — while also steering large-scale transformation programs across marketing functions. Roles & Responsibilities: Act as a visionary thought leader and subject matter expert by contributing to industry PoVs and whitepapers. Lead strategic assessments of current marketing capabilities and define GenAI-led reinvention roadmaps, future operating models, future-fit capabilities and process designs. Manage C Suite and identify and drive new business in Generative AI engagements. Design future-fit operating models incorporating Generative AI tools and workflows. Create a compelling north star vision and future-state blueprint for marketing organizations. Collaborate with cross-functional teams to drive transformation across people, process, and technology. Design and execute change management and adoption strategies, including upskilling and training programs tailored to GenAI integration. Develop robust business and value cases for GenAI-led marketing transformation initiatives, quantifying potential impact across efficiency, effectiveness, and experience metrics to secure stakeholder buy-in and drive investment decisions Act as a trusted advisor to CMO/CDO in identifying innovation opportunities through GenAI and build strong lasting relationships. Lead high-performing, multi-functional teams including consultants, managers, technical & functional teams to deliver transformation outcomes with speed and quality. Support Go-To-Market initiatives in collaboration with sales teams to shape and win transformational deals. Stay ahead of the curve on the latest GenAI trends, tools, and best practices — and translate them into client-relevant strategies. Professional & Technical Skills: MBA from a Tier 1 institute with a focus in Marketing, Strategy, or Technology 13-20 years of experience with at least 4 years in marketing strategy, AI/Gen AI, agentic AI, agency experience, and Marketing OS experience. Proven experience in applying Generative AI or AI-led innovation in marketing. Deep understanding of GenAI capabilities, foundation models, and their relevance to marketing operations Experience in driving business by engaging with leadership and C Suite. Hands-on experience in managing operating model design, strategic assessments, and change management programs Hands-on experience with Agentic solutioning and architecture design, LLMs and Generative AI frameworks (OpenAI, Anthropic, etc.) Functional expertise of AI/Gen AI along with broad understanding of foundation model & LLM’s Experience in working with senior to top management levels within existing organization / client organizations Excellent storytelling and communication skills, with the ability to influence both technical and business audiences Understanding of consulting methodologies, project management frameworks, and the ability to translate client needs into actionable project plans Strong problem-solving skills, analytical mindset, and the ability to apply Generative AI methodologies to address complex business challenges Experience in working with clients across multiple industries like CPG, S&P, Finance, Lifesciences, etc. Additional Information: Accenture Strategy shapes our clients’ future, combining deep business insight with the understanding of how technology will impact industry and business models. Our focus on issues such as digital disruption, redefining competitiveness, operating and business models as well as the workforce of the future helps our clients find future value and growth in a digital world. Today, digital is changing the way organizations engage with their employees, business partners, customers and communities. This is our unique differentiator. To bring this global perspective to our clients, Accenture Strategy's services include those provided by our Global Network – a distributed management consulting organization that provides management consulting and strategy expertise across the client lifecycle. Our Global Network teams complement our in-country teams to deliver cutting-edge expertise and measurable value to clients all around the world. About Our Company | Accenture , Experience: Minimum 13– 20 years of experience is required Educational Qualification: MBA

Location: Remote (Work from Anywhere) Type: Full-Time | Contract-Based | Flexible Experience: 2+ Years Industry: SaaS / AI & Automation / Startup Tech About HYI.AI HYI.AI is a Virtual Assistance and GenAI platform built for startups, entrepreneurs, and tech innovators. We specialize in offering virtual talent solutions, GenAI tools, and custom AI/ML deployments to help founders and businesses scale smarter and faster. We’re on a mission to power the next wave of digital startups globally – and we’re looking for skilled Java Developers to join our team remotely. What You’ll Do: 1) Build and maintain backend systems and APIs using Java and related frameworks. 2) Work closely with front-end developers, DevOps, and product managers to deliver high-performance, scalable features. 3) Design, develop, and optimize microservices architectures and distributed systems. 4) Integrate with third-party APIs, cloud services, and AI/ML systems. 5) Write clean, maintainable, and well-documented code with unit and integration tests. 6) Participate in code reviews, Agile ceremonies, and CI/CD workflows. 7) Take full ownership of features from development to deployment and monitoring. Tech Stack We Use: (You don’t need to know all, but familiarity is a big plus) 1) Languages & Frameworks: Java (Spring Boot, Hibernate), Kotlin, Groovy 2) Frontend Collaboration: React.js, TypeScript (basic knowledge is a plus) 3) Databases: PostgreSQL, MongoDB, MySQL, Redis 4) DevOps & Infra: Docker, GitHub Actions, AWS, GCP, Vercel 5) Other Tools: Kafka, RabbitMQ, REST/GraphQL APIs, Firebase, Webhooks 6) AI Integration: OpenAI APIs, LangChain, custom ML model APIs What We’re Looking For: 1) 2+ years of hands-on experience with Java development (preferably Spring Boot). 2) Strong understanding of RESTful APIs, microservices, and backend systems. 3) Experience with databases, caching, and background job queues. 4) Familiarity with cloud platforms (AWS, GCP, etc.). 5) Solid understanding of data structures, algorithms, and system design. 6) Excellent debugging, troubleshooting, and communication skills. 7) A self-starter who thrives in remote and startup environments. Nice to Have: 1) Experience working with AI or automation projects. 2) Familiarity with Kafka, CI/CD pipelines, or containerization (Docker/K8s). 3) Exposure to GraphQL APIs or event-driven architectures. 4) Prior experience in early-stage startups or remote teams. What You’ll Get: 1) 100% remote, flexible work environment 2) Opportunity to work on cutting-edge AI + Java-based systems 3) Mentorship from senior engineers and startup founders 4) Competitive compensation based on skills & experience 5)Global exposure to high-growth clients and products

Mindprint is Particle Execution's Agentic AI Workflow System Product About Mindprint Mindprint is building the future of AI agents — software that doesn't just retrieve information, but learns how you think . Our platform enables non-technical founders and small teams to build custom AI agents that get smarter over time, powered by memory, feedback loops, and task orchestration. We’re already working with paying customers and have a full development team behind this. Now, we’re looking for an experienced Head of Engineering to scale our product, team, and systems with speed and clarity — while collaborating with world-class operators, designers, and AI developers. Your Mission Take full ownership of engineering at Mindprint. Build and lead a high-performing technical team, establish systems that scale, and help us deliver cutting-edge AI infrastructure and simple-to-use interfaces — fast. You'll work closely with the founding team and our development team to take what’s currently an MVP and turn it into a robust, scalable, and category-defining product. What you'll be working on: Technical Leadership Own the technical architecture and system design of the Mindprint platform — backend, frontend, data pipelines, agent orchestration, and memory subsystems. Make build vs. buy decisions for key infrastructure (e.g., Langchain vs LangGraph, orchestration tools, LLM services). Drive a modular architecture so agent components and memory mechanisms can evolve without rework. Team Building Recruit, mentor, and lead a growing engineering team across backend, frontend, and AI layers. Create an engineering culture of ownership, speed, pragmatism, and continuous learning. Build systems to onboard, train, and level up junior/mid developers effectively. Shipping at Speed Set and maintain a weekly shipping cadence aligned to product OKRs and GTM timelines. Collaborate tightly with Design, Product, and Prompt teams to deliver on aggressive sprints. Build fast and smart — prioritize MVP clarity, followed by tech debt cleanup in cycles. Scaling the Agent & Memory Architecture Work closely with our Memory System Architect to build AI agents that are: Modular and dynamic Able to store and learn from user feedback Integrate with user tools (CRM, docs, Slack, etc.) Your Stack & Tools Frontend : Next.js, TypeScript, Tailwind, ShadCN UI, Zustand Backend : Python, FastAPI, Celery, Docker Infra : AWS (EC2), PostgreSQL, Weaviate, Neo4j AI : OpenAI APIs, LangGraph, mem0, Retrieval-Augmented Generation (RAG) DevOps : GitHub, CI/CD pipelines You don’t need to be hands-on with every tool — but you should have excellent technical breadth, and deep backend/system design experience. What We’re Looking For 8+ years in software engineering, with 3+ years leading teams Strong experience scaling early-stage products from MVP → traction → scale Fluent in modern Python backend development, API architecture, and containerization Clear grasp of LLM-based systems , vector DBs, and orchestration logic (e.g., Langchain) You’re opinionated about good architecture, but pragmatic about tradeoffs You're comfortable moving fast in ambiguity — and you know how to bring order to chaos Bonus Points Experience working with AI agent frameworks like CrewAI, Langchain, or Autogen Have shipped B2B SaaS or AI/LLM-based products You’ve built an engineering team from scratch, or scaled a small one You're excited by startups, ownership, and building something that changes how work happens Role Details Full-time, remote Competitive early-stage salary Equity opportunity Hire and grow your team Direct access to founding team and shaping company strategy Why Join Now? Be part of defining a new category of memory-powered AI agents Work with a visionary, fast-moving team who’ve already built and launched in stealth Get in early — help define the tech culture , systems, and standards from day one Ship fast, learn fast, and help build a generational company

Hiring For AI Enginner - Python Developer :- Job Description:- We are seeking a talented Python Developer with hands-on experience in AI chatbot development and familiarity with Model Context Protocol (MCP) to join our AI team. You will be responsible for developing intelligent, context-aware conversational systems that integrate seamlessly with our internal knowledge base and enterprise services. The ideal candidate is technically proficient ,proactive, and capable of translating complex AI interactions into scalable backend solutions. Key Responsibilities 1. Design and develop robust AI chatbots using Python and integrate them with LLM APIs(e.g., OpenAI, Google AI, etc.). 2. Implement and manage Model Context Protocol (MCP) for optimize context injection, session management, and model-aware interactions. 3.Build and maintain secure pipelines for knowledge base access that allow the chatbot to accurately respond to internal queries. 4.Work with internal teams to define and evolve the contextual metadata strategy (roles, user state, query history, etc.). 5.Contribute to internal tooling and framework development for contextual AI applications. Required Skills & Experience 1. 3+ years of professional Python development experience. 2. Proven track record in AI chatbot development, particularly using LLMs. 3. Understanding of Model Context Protocol (MCP) and its role in enhancing AI interactionfidelity and relevance. 4. Strong experience integrating with AI APIs (e.g., OpenAI, Azure OpenAI). 5. Familiarity with Retrieval-Augmented Generation (RAG) pipelines and vector-basedsearch (e.g., Pinecone, Weaviate, FAISS). 6. Experience designing systems that ingest and structure unstructured knowledge (e.g., PDF,Confluence, Google Drive docs). 7. Comfortable working with RESTful APIs, event-driven architectures, and context-awareservices.8.Good understanding of data handling, privacy, and security standards related to enterpriseAI use. Job Location: Indore Joining: Immediate Share resume at talent@jstechalliance.com or can Contact Here :- 0731-3122400 WhatsApp : 8224006397 Job Type: Full-time Application Question(s): Immediate Joiner Have you completed your Bachelor's\Master's Degree? Experience: Python: 3 years (Required) Model Context Protocol (MCP): 3 years (Required) LLM APIs: 3 years (Required) Artificial Intelligence: 2 years (Required) Location: Indore, Madhya Pradesh (Required) Work Location: In person

DataLEADS is a strong and growing team that is driven by passion, creativity and collaboration. We value individuals with unique interests, experiences and who think differently. We’re committed to equal opportunities and creating an inclusive environment for all our team members. POSITION: ANALYST (DATA & ML) About the role: DataLEADS is seeking a highly motivated Data Analyst to join our dynamic, cross-functional team working at the intersection of media, technology, and public good. You’ll be responsible for managing data pipelines, building internal tools and dashboards, and supporting the deployment of AI/ML-powered workflows — especially for public health, digital media, and development-focused use cases. This role is ideal for someone with a strong technical foundation (Python, SQL, scripting) and an interest in automation, generative AI , and data-for-impact storytelling. Nature of Role Full time, from our office location in New Delhi Joining Immediate Requirements: Bachelor’s degree in Computer Science, Statistics, Engineering, Mathematics, or related technical field. Proficiency in Python, especially with libraries like pandas and requests; basic visualization using matplotlib or plotly Good command of SQL, including joins and common table expressions; familiarity with BigQuery or similar databases Basic JavaScript or Google Apps Script skills to support workflow automation Strong skills in Google Sheets or Excel (pivot tables, array formulas, basic macros) Exposure to using APIs (e.g., OpenAI, Claude) for prototyping or automation tasks Demonstrated interest in learning emerging tools in AI, automation, and data analysis Nice-to-Have Skills: Familiarity with tools like LangChain, Chroma, or vector search systems Basic experience building simple dashboards using Streamlit or Flask Exposure to data scraping or data collection using Python Understanding of or interest in working with data in areas like public health, misinformation, or digital media Key Responsibilities: Clean, transform, and enrich datasets using SQL and Google Sheets; maintain data views and internal dashboards Build and maintain automations using Google Apps Script, Zapier, and other no-code/low-code tools Write Python and JavaScript utilities to automate recurring tasks and retrieve external data Assist in prototyping AI/LLM-powered tools for tasks like annotation, summarization, and reporting — with support and supervision Create basic visualizations using Plotly or Matplotlib for internal and external stakeholders Document workflows, assumptions, and data logic clearly for team knowledge sharing What We Offer: At DataLEADS, you’ll have the opportunity to work on high-impact, real-world challenges , collaborate with an interdisciplinary team of technologists, journalists, and researchers, and gain hands-on exposure to cutting-edge tech interventions and frameworks . We offer a learning-focused, inclusive environment that encourages experimentation and growth. How to Apply: Send your CV, cover letter and links to portfolio (if available) to jobs@dataleads.co.in with the subject line: “Application: Data Analyst – [Your Name]” About DataLEADS: DataLEADS is a globally recognised digital media and tech company aimed to help people understand and engage with the world around them. We work on the complexity of a dynamic and evolving information ecosystem. Our work includes data intelligence, fact-checking initiatives, media and information literacy interventions, curriculum development, designing public policy interventions, media research, social listening and digital transformation. At the core of our work lies a profound belief that authentic information is central to human empowerment.

GE Healthcare Healthcare Information Technology Category Digital Technology / IT Mid-Career Job Id R4026614 Relocation Assistance No Location Bengaluru, Karnataka, India, 560066 Job Description Summary We are seeking a highly skilled and innovative AI Engineer with expertise in both traditional Artificial Intelligence and emerging Generative AI technologies. In this role, you will be responsible for designing, developing, and deploying intelligent systems that leverage machine learning, deep learning, and generative models to solve complex problems. You will work across the AI lifecycle—from data engineering and model development to deployment and monitoring—while also exploring GenAI applications, Agentic AI and developing agentic platforms. The ideal candidate combines strong technical acumen with a passion for experimentation, rapid prototyping, and delivering scalable AI solutions in real-world environments. GE HealthCare is a leading global medical technology and digital solutions innovator. Our purpose is to create a world where healthcare has no limits. Unlock your ambition, turn ideas into world-changing realities, and join an organization where every voice makes a difference, and every difference builds a healthier world. Job Description Job Description Roles and Responsibilities In this role, you will: Develop and fine-tune Generative AI models (e.g., LLMs, diffusion models). Design and implement machine learning models for classification, regression, clustering, and recommendation tasks. Build and maintain scalable AI pipelines for data ingestion, training, evaluation, and deployment. Collaborate with cross-functional teams to understand business needs and translate them into AI solutions. Ensure model performance, fairness, and explainability through rigorous testing and validation. Deploy models to production using MLOps tools and monitor their performance over time. Stay current with the latest research and trends in AI/ML and GenAI and evaluate their applicability to business problems. Document models, experiments, and workflows for reproducibility and knowledge sharing. Technical Skill Set Cloud & Infrastructure (AWS) Amazon SageMaker – Model training, tuning, deployment, and MLOps. Amazon Bedrock – Serverless GenAI model access and orchestration. SageMaker JumpStart – pre-trained models and GenAI templates. Prompt engineering and fine-tuning of LLMs using SageMaker or Bedrock. Programming & Scripting Python – Primary language for AI/ML development, data processing, and automation. Education Qualification Bachelor’s degree in engineering with minimum four years of experience in relevant technologies. Desired Characteristics Technical Expertise: GenAI Platforms & Models Familiarity with LLMs: like Claude (Anthropic), LLaMA (Meta), Gemini (Google), Mistral, Falcon Experience with APIs: Amazon Bedrock. Understanding of model types: encoder-decoder, decoder-only, diffusion models Design, develop, and deploy agent-based AI systems that exhibit autonomous decision-making. Integrate Generative AI (LLMs, diffusion models) into real-world applications. Prompt Engineering & Fine-Tuning Prompt design for zero-shot, few-shot, and chain-of-thought reasoning Fine-tuning and parameter-efficient tuning (LoRA, PEFT) Retrieval-Augmented Generation (RAG) design and implementation System Integration & Architecture Event-driven and serverless architectures (e.g., AWS Lambda, EventBridge) Development Frameworks LangChain, LlamaIndex. Vector databases: FAISS, Pinecone, Weaviate, Amazon OpenSearch Langgraph, Langchain Cloud & DevOps AWS (Bedrock, SageMaker, Lambda, S3), Azure (OpenAI, Functions), GCP (Vertex AI) CI/CD pipelines for GenAI workflows Security & Compliance Data privacy and governance (GDPR, HIPAA) Model safety: content filtering, moderation, hallucination control Monitoring & Optimization Model performance tracking (latency, cost, accuracy) Logging and observability (CloudWatch, Prometheus, Grafana) Cost optimization strategies for GenAI inference Collaboration & Business Alignment Working with product, legal, and compliance teams Translating business requirements into GenAI use cases Creating PoCs and scaling to production Business Acumen: Demonstrates the initiative to explore alternate technology and approaches to solving problems Skilled in breaking down problems, documenting problem statements and estimating efforts Has the ability to analyze impact of technology choices Skilled in negotiation to align stakeholders and communicate a single synthesized perspective to the scrum team. Balances value propositions for competing stakeholders. Demonstrates knowledge of the competitive environment Demonstrates knowledge of technologies in the market to help make buy vs build recommendations, scope MVPs, and to drive market timing decisions Leadership: Influences through others; builds direct and "behind the scenes" support for ideas. Pre-emptively sees downstream consequences and effectively tailors influencing strategy to support a positive outcome. Able to verbalize what is behind decisions and downstream implications. Continuously reflecting on success and failures to improve performance and decision-making. Understands when change is needed. Participates in technical strategy planning. Personal Attributes: Able to effectively direct and mentor others in critical thinking skills. Proactively engages with cross-functional teams to resolve issues and design solutions using critical thinking and analysis skills and best practices. Finds important patterns in seemingly unrelated information. Influences and energizes other toward the common vision and goal. Maintains excitement for a process and drives to new directions of meeting the goal even when odds and setbacks render one path impassable. Innovates and integrates new processes and/or technology to significantly add value to GE Healthcare. Identifies how the cost of change weighs against the benefits and advises accordingly. Proactively learns new solutions and processes to address seemingly unanswerable problems. Inclusion and Diversity GE Healthcare is an Equal Opportunity Employer where inclusion matters. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. We expect all employees to live and breathe our behaviors: to act with humility and build trust; lead with transparency; deliver with focus, and drive ownership – always with unyielding integrity. Our total rewards are designed to unlock your ambition by giving you the boost and flexibility you need to turn your ideas into world-changing realities. Our salary and benefits are everything you’d expect from an organization with global strength and scale, and you’ll be surrounded by career opportunities in a culture that fosters care, collaboration and support. #LI-MA6 Additional Information Relocation Assistance Provided: No

Job Title: Freelance Technical Trainer (Embedded Systems / CAD / AI-ML / Data Analytics / Gen AI / DevOps) Job Location: Chennai -On site Experience required: 3 -5 Job Description: We are seeking an experienced and enthusiastic Freelance Trainer to conduct on-site technical workshops and training programs at colleges. The trainer should have 3–5 years of industry or academic experience in one or more of the following areas: Embedded Systems, CAD Tools, AI & ML, Data Analytics, Generative AI, and DevOps . The role involves engaging with students through hands-on, practical sessions and bridging the gap between academic learning and industry needs. Key Responsibilities: Deliver interactive and hands-on training sessions at college campuses. Explain complex topics in a simplified and practical manner. Guide students through real-world projects, tools, and case studies . Coordinate with college faculty and administration for session planning. Evaluate student participation and provide feedback on learning outcomes. Stay updated with current trends and technologies to deliver relevant content. Technical Domains: Embedded Systems: Microcontrollers, Arduino, IoT, C/C++, Embedded C CAD Engineering: AutoCAD, SolidWorks, CATIA, Mechanical Design Projects Artificial Intelligence & Machine Learning: Python, Deep Learning, NLP, model building Data Analytics: Python, Power BI, SQL, Data Visualization, Excel-based dashboards Generative AI: ChatGPT, Prompt Engineering, OpenAI tools, use-case demos DevOps: Git, Docker, Jenkins, CI/CD, Cloud basics (AWS/GCP), automation tools. Required Skills: Strong subject knowledge with real-time project experience . Prior experience conducting workshops/seminars in colleges (preferred). Excellent presentation and communication skills . Ability to engage students and encourage active participation . Job Types: Full-time, Freelance Contract length: 3 months Application Question(s): Looking For Online (or) Offline We need only Offline Experience: Technical Trainer: 3 years (Preferred) Location: Chennai, Tamil Nadu (Required) Work Location: In person

Position: Senior AI/ML Engineer- NLP/Python (Please Post on Naukri with the Position as it ) Experience : 3 to 5 Years Location : Mohan Corporate Office (Work from Office Only) Job Type: Full-Time Salary: To be discussed during the interview Key Responsibilities : - Design, develop, and deploy AI/ML models for real-world applications. - Work with NLP, deep learning, and traditional ML algorithms to solve complex business problems. - Develop end-to-end ML pipelines, including data preprocessing, feature engineering, model training, and deployment. - Optimize model performance using hyperparameter tuning and model evaluation techniques. - Implement AI-driven solutions using TensorFlow, PyTorch, Scikit-learn, OpenAI APIs, Hugging Face, and similar frameworks. - Work with structured and unstructured data, performing data wrangling, transformation, and feature extraction. - Deploy models in cloud environments (AWS, Azure, or GCP) using SageMaker, Vertex AI, or Azure ML. - Collaborate with cross-functional teams to integrate AI models into production systems. - Ensure scalability, performance, and efficiency of AI/ML solutions. - Stay updated with emerging AI trends and technologies to drive innovation. Required Skills : - Strong experience in machine learning, deep learning, NLP, and AI model development. - Implement Retrieval-Augmented Generation (RAG) using vector databases - Proficiency in Python, TensorFlow, PyTorch, Scikit-learn, and OpenAI GPT models. - Expertise in NLP techniques (Word2Vec, BERT, transformers, LLMs, text classification). - Hands-on experience with computer vision (CNNs, OpenCV, YOLO, custom object detection models). - Solid understanding of ML model deployment and MLOps (Docker, Kubernetes, CI/CD for ML models). - Experience in working with cloud platforms (AWS, Azure, GCP) for AI/ML model deployment. - Strong knowledge of SQL, NoSQL databases, and big data processing tools (PySpark, Databricks, Hadoop, Kafka, etc. - Familiarity with API development using Django, Flask, or FastAPI for AI solutions. - Strong problem-solving, analytical, and communication skills. Preferred Skills : - Experience with AI-powered chatbots and OpenAI API integration. - Exposure to LLMs (GPT, LLaMA, Falcon, etc.) for real-world applications. - Hands-on experience in generative AI models.

Job Title: Chief Technology Officer (CTO) Location: India/US (India: Chennai/US – Plano, Texas), On-site Company: Droidal - AI SaaS for Healthcare Providers About Droidal: Droidal is a cutting-edge healthcare SaaS company revolutionizing revenue cycle management through the power of AI, Generative AI, and Large Language Models (LLMs). Our mission is to empower healthcare providers with intelligent automation, driving better financial outcomes and operational efficiency. As we scale rapidly, we are looking for a visionary Chief Technology Officer (CTO) to lead our technology, product and engineering teams through the next phase of growth. Role Overview: As CTO, you will be responsible for defining and executing Droidal’s technology vision and product strategy. You will lead the end-to-end development of our AI-powered SaaS platform and build scalable, enterprise-grade solutions tailored for the healthcare industry. You’ll work closely with the CEO and executive team to align the tech roadmap with the company's growth objectives and ensure Droidal remains a market leader in healthcare AI innovation. Key Responsibilities: Technology & Product Vision: Define and communicate a clear and compelling long-term technology strategy that leverages AI, GenAI, and LLM capabilities to meet healthcare market needs. Leadership & Growth: Build, mentor, and scale a high-performing product, technology and engineering team. Foster a culture of excellence, ownership, and continuous improvement. AI Innovation: Lead the development and integration of advanced AI/GenAI/LLM models into the core product suite with a deep focus on performance, accuracy, and real-world impact. Scalability & Architecture: Oversee the design of scalable, secure, and resilient system architecture. Drive productization of AI models to ensure enterprise readiness. Collaboration: Work cross-functionally with Product, Sales, Customer Success, and external stakeholders to translate user needs into technical solutions. Execution: Drive rapid product iteration and release cycles while maintaining quality and compliance in a highly regulated healthcare environment. Governance: Ensure robust data governance, security protocols, and compliance with healthcare standards such as HIPAA. Requirements: 20+ years of experience in technology leadership roles, including at least 10+ years in a senior leadership capacity at a high-growth product-led organization. Proven experience in building and scaling enterprise SaaS platforms - ideally in healthcare or regulated industries. Deep expertise in AI/ML, including Generative AI, LLMs (e.g., OpenAI, Claude, open-source), and end-to-end productization of AI features. Track record of leading cross-functional teams and delivering products from 0 to 1, as well as scaling them across enterprise clients. Prior experience in a leading AI-first product company or top-tier tech firm is required . Strong understanding of modern tech stacks, cloud infrastructure (AWS, Azure, GCP), DevOps, and security best practices. Excellent communication and stakeholder management skills, with a strategic mindset and hands-on execution capability. Why Join Us? A high-impact leadership role with direct visibility at the board and investor level. Work on breakthrough AI technology that directly impacts lives in the healthcare space. Competitive compensation with ESOPs, and a driven leadership team committed to innovation and excellence.

Job Title : Senior Python Developer (with Node.js & GenAI Exposure) Location : Remote Employment Type : Full-time Experience Required : 5+ the Role : We are looking for a highly experienced Senior Python Developer to join our growing Generative AI team. In this role, you will play a key part in building scalable, efficient, and intelligent applications that integrate with AI-powered systems, services, and models. While Python expertise is a core requirement, experience or interest in AI/ML and Large Language Models (LLMs) will be considered a strong plus. You will work closely with cross-functional teams of researchers, ML engineers, backend developers, and product managers to bring cutting-edge AI products to life. Responsibilities This is a hands-on development role that also demands an architectural and strategic mindset. Youll contribute to designing microservices, building APIs, and working with data pipelines that serve real-time GenAI Responsibilities : Design, develop, and maintain scalable Python-based backend services and applications Work within the Generative AI team to integrate backend logic with AI/LLM components Build RESTful and GraphQL APIs to support web, mobile, and AI-powered interfaces Collaborate with frontend, DevOps, and ML teams to develop production-grade solutions Ensure quality, performance, and scalability of applications Debug, optimize, and troubleshoot backend code across multiple environments Write clean, maintainable code following best practices, code reviews, and version control Maintain and extend existing Node.js codebases where required Participate in architectural discussions and sprint planning with a focus on scalability and Skills : 5+ years of professional development experience using Python Strong experience building backend services, microservices, and APIs using Python frameworks such as FastAPI, Flask, or Django Experience in working with Node.js, especially in API development or service integration Solid understanding of RESTful API design, authentication methods, and middleware Familiarity with containerization tools like Docker and orchestration tools like Kubernetes Hands-on experience with databases (SQL and NoSQL PostgreSQL, MongoDB, etc.) Strong understanding of Git workflows, CI/CD pipelines, and agile to Have (Bonus Skills) : Experience or understanding of AI/ML concepts, NLP, and LLMs (e.g., OpenAI, Hugging Face) Exposure to integrating Python code with ML models or working in GenAI environments Familiarity with message brokers like Kafka or RabbitMQ Experience with cloud platforms like AWS, GCP, or Azure Why Join Us? Be part of an innovative GenAI-driven product team Work on high-impact, AI-focused applications at scale Flexible work environment with a culture of ownership and creativity Opportunities to grow into AI-focused roles or leadership paths (ref:hirist.tech)

Key Responsibilities Develop and deploy ML/NLP models using Python and FastAPI Work with Hugging Face and OpenAI models to build real-world applications Design and implement scalable data pipelines with CI/CD practices Containerize applications using Docker and manage version control via Git Apply OOPs principles to build modular, maintainable, and production-ready code Required Skills Strong programming skills in Python and SQL Expertise in FastAPI for building APIs Solid understanding of OOPs concepts, Docker, and Git Hands-on experience with NLP, Hugging Face, and OpenAI Python libraries Working knowledge and implementation experience of LLM models such as GPT, BERT Building and maintaining CI/CD pipelines for ML model deployment (ref:hirist.tech)