1908 Openai Jobs - Page 37

The Role- As an AI Engineer , you will be responsible for building and optimizing AI-first solutions that power BotPenguin’s conversational and Agentic capabilities. You will work on LLM integrations, NLP pipelines, and machine learning models, while collaborating with cross-functional teams to deliver intelligent experiences at scale. This is a high-impact role that combines engineering, research, and deployment skills to solve real-world problems using artificial intelligence. What you need for this role- Education: Bachelor's or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related discipline. Experience: 2–5 years of experience working in AI/ML or related software engineering roles. Technical Skills: Strong proficiency in Python and libraries such as scikit-learn, PyTorch, TensorFlow, Transformers (Hugging Face). Hands-on experience with LLMs (OpenAI, Claude, LLaMA) and building AI agents using API integrations. Experience working with NLP tasks (intent classification, text generation, embeddings, summarization). Familiarity with Vector Databases like Pinecone, FAISS, Elastic Vector DB. Understanding of Prompt Engineering, RAG (Retrieval-Augmented Generation), and embedding generation. Proficiency in building and deploying ML models via Docker/Kubernetes or cloud services like AWS/GCP. Experience with version control systems (GitLab/GitHub) and working in Agile teams. Soft Skills: Strong analytical thinking and problem-solving capabilities. Passion for research, innovation, and applying AI to real-world use-cases. Excellent communication skills and the ability to collaborate across departments. Attention to detail with a focus on model accuracy, explainability, and performance. What you will be doing- Design, build, and optimize AI-powered chatbot features and virtual agents using state-of-the-art models. Collaborate with the Product, Backend, and UI teams to integrate intelligent workflows into the BotPenguin platform. Build, evaluate, and fine-tune language models and NLP components tailored to user use-cases. Implement context-aware chat solutions using embeddings, vector stores, and retrieval mechanisms. Create internal tools for prompt testing, versioning, and debugging AI responses. Monitor model performance metrics such as latency, hallucination rate, and user satisfaction. Explore research papers, open-source innovations, and contribute to rapid experimentation. Write clean, modular, and testable code along with clear documentation for future scalability. Any other development related tasks as required for BotPenguin. Guiding, reviewing the code written by junior members in the team. Top reasons to work with us- Be part of a cutting-edge AI startup driving innovation in chatbot automation. Work with a passionate and talented team that values knowledge-sharing and problem-solving. Growth-oriented environment with ample learning opportunities. Exposure to top-tier global clients and projects with real-world impact. Flexible work hours and an emphasis on work-life balance. A culture that fosters creativity, ownership, and collaboration. Job Type: Full-time Pay: ₹500,000.00 - ₹800,000.00 per year Benefits: Flexible schedule Health insurance Provident Fund Schedule: Day shift Work Location: In person

Job Title: Python Developer Location: Mohali, Punjab Company: RevClerx About RevClerx: RevClerx Pvt. Ltd., founded in 2017 and based in the Chandigarh/Mohali area (India), is a dynamic Information Technology firm providing comprehensive IT services with a strong focus on client-centric solutions. As a global provider, we cater to diverse business needs including website designing and development, digital marketing, lead generation services (including telemarketing and qualification), and appointment setting. Job Summary: We are seeking a motivated and skilled Python Developer with 3-4 years of professional experience to join our dynamic engineering team. The ideal candidate will be proficient in developing, deploying, and maintaining robust Python-based applications and services. You will play a key role in the entire software development lifecycle, from conceptualization and design through testing, deployment, and ongoing maintenance. While core Python development is essential, we highly value candidates with an interest or experience in emerging technologies like AI/ML and Large Language Model (LLM) applications. Key Responsibilities: Design, develop, test, deploy, and maintain high-quality, scalable, and efficient Python code. Collaborate closely with product managers, designers, and other engineers to understand requirements and translate them into technical solutions. Participate in the full software development lifecycle (SDLC) using Agile methodologies. Write clean, maintainable, well-documented, and testable code. Contribute to code reviews to ensure code quality, share knowledge, and identify potential issues. Troubleshoot, debug, and upgrade existing software systems. Develop and integrate with RESTful APIs and potentially other web services. Work with databases (like Postgersql) to store and retrieve data efficiently. Optimize applications for maximum speed, scalability, and reliability. Stay up-to-date with the latest industry trends, technologies, and best practices in Python development and related fields. Potentially assist in the integration of AI/ML models or contribute to projects involving LLM-based agents or applications. Minimum Qualifications: Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field. 3-4 years of professional software development experience with a primary focus on Python. Strong proficiency in Python and its standard libraries. Proven experience with at least one major Python web framework (e.g., Django, Flask, FastAPI). Solid understanding of object-oriented programming (OOP) principles. Experience working with relational databases (e.g., PostgreSQL, MySQL) and/or NoSQL databases (e.g., MongoDB, Redis). Proficiency with version control systems, particularly Git. Experience designing, building, and consuming RESTful APIs. Familiarity with Agile development methodologies (e.g., Scrum, Kanban). Strong problem-solving and analytical skills. Excellent communication and teamwork abilities. Preferred (Good-to-Have) Qualifications: AI/ML Knowledge: Basic understanding of machine learning concepts and algorithms. Experience with relevant Python libraries for data science and ML (e.g., Pandas, NumPy, Scikit-learn). Experience integrating pre-trained ML models into applications. Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch) is a plus. LLM Experience: Demonstrable interest or hands-on experience in building applications leveraging Large Language Models (LLMs). Experience working with LLM APIs (e.g., OpenAI GPT, Anthropic Claude, Google Gemini). Familiarity with LLM frameworks or libraries (e.g., LangChain, LlamaIndex). Understanding of basic prompt engineering techniques. Experience building or experimenting with LLM-powered agents or chatbots. Containerization & Orchestration: Experience with containerization technologies like Docker and orchestration tools like Kubernetes. CI/CD: Experience setting up or working with Continuous Integration/Continuous Deployment (CI/CD) pipelines (e.g., Jenkins, GitLab CI, GitHub Actions). Asynchronous Programming: Experience with Python's asynchronous libraries (e.g., asyncio, aiohttp). What We Offer: Challenging projects with opportunities to work on cutting-edge technologies especially in the field of AI. Competitive salary and comprehensive benefits package. Opportunities for professional development and learning (e.g., conferences, courses, certifications). A collaborative, innovative, and supportive work environment. Job Type: Full-time Pay: ₹16,526.97 - ₹68,399.45 per month Benefits: Food provided Health insurance Location Type: In-person Schedule: Monday to Friday Work Location: In person Speak with the employer +91 9041633697

Job Title: Python Developer (Django/FastAPI + AI/ML) Company: Walkwel Technology Location: Onsite – Mohali, Punjab Working Days: 5 Days a Week About Walkwel Technology: Walkwel Technology is an innovation-driven IT services company based in Mohali, Punjab. We work on a wide range of cutting-edge solutions, blending deep technical expertise with a culture of continuous learning and experimentation. Job Description: We are looking for a skilled and passionate Python Developer with solid experience in Django and FastAPI , and a strong background in AI/ML development and working with agents (e.g., AI agents, LLMs, autonomous agents). This is a hands-on role ideal for someone who thrives in a fast-paced, research-backed development environment. Key Responsibilities: Design, develop, and maintain scalable backend services using Django and FastAPI. Build and deploy machine learning models and pipelines for real-world applications. Work on AI agents and integrate large language models (LLMs) or autonomous systems. Collaborate with data scientists and frontend developers to deliver intelligent systems. Develop RESTful APIs for AI/ML applications and ensure secure, efficient data handling. Research and implement novel ML/AI tools and techniques. Write clean, maintainable, and well-documented code. Required Skills & Experience: 3+ years of hands-on Python development experience. Proficiency with Django and FastAPI frameworks. Strong experience in Machine Learning / Deep Learning using libraries like scikit-learn , TensorFlow , PyTorch , or Transformers . Familiarity with AI agent frameworks (e.g., LangChain, AutoGPT, OpenAI tools, Hugging Face agents, or custom autonomous agents). Experience with RESTful API design and development. Good knowledge of databases like PostgreSQL, MySQL, or MongoDB. Exposure to containerization tools like Docker is a plus. Preferred Qualifications: Experience with cloud platforms (AWS/GCP/Azure) for deploying ML models. Understanding of NLP, LLMs, and prompt engineering. Familiarity with MLOps practices and tools. What We Offer: Opportunity to work on advanced AI/ML-driven projects. Competitive compensation aligned with experience and skills. Supportive, innovation-focused team culture. 5-day work week and a healthy work-life balance. Job Type: Full-time Pay: ₹30,000.00 - ₹40,000.00 per month Benefits: Provident Fund Schedule: Day shift Monday to Friday Application Question(s): How much total years of Expereince you have with Python Development? Have you worked with FastAPI? if yes how many years? Do you have working Expereince with AI/ML? What are your Salary Expectations? Work Location: In person

Job Description: Full-Stack Developer – Mobile & Web (Firebase + AWS + AI + Real-Time UI) Position Details Job Title: Full-Stack Developer – Mobile & Web (Firebase + AWS + AI + Real-Time UI) Department: Product & Engineering Employment Type: Full-Time (Independent Contractor every 3 month will review ) Work Setup: Fully Remote - Work Form Home Preferred Start Date: ASAP Contract Duration: Ongoing (Reviewed Quarterly) Salary: Negotiable Based on Experience Bonuses: Performance-Based (Assessed Quarterly) Equipment: Developer to use their own development-capable machine Working Hours: Full-time with preferred core hours 9:00 AM – 5:00 PM AEST (negotiable) Interview Process Rounds of Interview: 2 Duties & Responsibilities Collaborate closely with founders on multiple startup products from MVP to scale Design and develop mobile and web applications with integrated e-commerce features Build real-time, high-performance UIs with minimal latency Integrate AI/ML tools, music APIs, and real-time chat/matching systems Implement and manage backend cloud infrastructure using Firebase and AWS Ensure all projects and updates are reviewed and approved by Rhys Magno before execution Must-Have Technical Skills Cloud Services: Firebase (Firestore, Auth, Functions, FCM) AWS (Lambda, API Gateway, EC2, S3, Cognito) Mobile Development: Flutter or React Native Web Development: React.js / Next.js AI/ML Integration: MediaPipe, TensorFlow Lite, OpenAI APIs Other Skills: Real-time interactivity and responsive design OAuth, social SDKs, media sharing Strong problem-solving mindset with a can-do, solution-oriented approach UI/UX experience with apps similar to Tinder, TikTok, and Figma Current Projects Raver – The Social App for Ravers & Festival-Goers Tinder + Clubhouse + TikTok hybrid Real-time chat, group events, swipe UI, and notifications Figma Design AI Dance Scoring System Real-time movement scoring via MediaPipe/TensorFlow Leaderboards, TikTok sharing, and music-beat sync Kandy Store – Custom Rave Wristband Builder Virtual bead/bracelet builder with drag-and-drop UI E-commerce integration with Shopify or custom checkout Social & Music Integration Login via Google, Facebook, Apple Spotify/Apple Music playback TikTok/Instagram sharing for media and designs Employment Type : Full-time Reason for Hiring: Build and scale multiple startup products with a dedicated long-term developer Employment Status: Independent contractor (reviewed every 3 months, hours flexible upon mutual agreement) Interested applicants can send their CVs to People@techosoft.com.au Job Type: Full-time Benefits: Cell phone reimbursement Flexible schedule Leave encashment Paid sick time Paid time off Work from home Schedule: Day shift Monday to Friday Morning shift Supplemental Pay: Quarterly bonus

Job Description Design and build smart automation workflows using n8n , Zapier , and Make.com . Integrate APIs and connect third-party apps to streamline business processes. Use LLMs (e.g., OpenAI, Cohere) for tasks like summarization, data extraction, and decision logic. Build RAG pipelines with vector databases like Pinecone , ChromaDB , or Weaviate . Develop and test autonomous agents using LangChain , AutoGen , or similar frameworks. Write clean, modular code in Python or JavaScript to support custom workflow logic. Prototype ideas quickly and ship real features used in production environments. Document your workflows and collaborate with developers, consultants, and product teams. Key Skills Final-year students: Only final year students in Computer Science, AI/ML, Data Science, Information Systems, or related fields., who are willing to work full time after internship. Curiosity & Initiative : You love experimenting with new tools/technologies and aren’t afraid to break things to learn. Basic to Intermediate Coding Skills : Comfortable writing Python or JavaScript/TypeScript. Able to read API docs and write modular code. Familiarity (or willingness to learn) Workflow Platforms : Exposure to n8n, Zapier, Make.com, or similar; if you haven’t used n8n yet, we’ll help you onboard. API Knowledge : Understanding of RESTful APIs, JSON, authentication mechanisms. Interest in AI/LLMs : You know the basics of LLMs or are eager to dive in—prompt engineering, embeddings, RAG concepts. Problem-Solving Mindset : You can break down complex tasks into smaller steps, map flows, and foresee edge cases. Communication & Documentation : You can explain your workflows, document steps, and write clean README/instructions. Team Player : Open to feedback, collaborate in agile/scrum-like setups, and help peers troubleshoot.

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibilities: WHAT Business Knowledge: Capable of understanding the requirements for the entire project (not just own features) Capable of working closely with PMG during the design phase to drill down into detailed nuances of the requirements Has the ability and confidence to question the motivation behind certain requirements and work with PMG to refine them. Design: Can design and implement machine learning models and algorithms Can articulate and evaluate pros/cons of different AI/ML approaches Can generate cost estimates for model training and deployment Coding/Testing: Builds and optimizes machine learning pipelines Knows & brings in external ML frameworks and libraries Consistently avoids common pitfalls in model development and deployment HOW Quality: Solves cross-functional problems using data-driven approaches Identifies impacts/side effects of models outside of immediate scope of work Identifies cross-module issues related to data integration and model performance Identifies problems predictively using data analysis Productivity: Capable of working on multiple AI/ML projects simultaneously and context switching between them Process: Enforces process standards for model development and deployment. Independence: Acts independently to determine methods and procedures on new or special assignments Prioritizes large tasks and projects effectively Agility: Release Planning: Works with the PO to do high-level release commitment and estimation Works with PO on defining stories of appropriate size for model development Agile Maturity: Able to drive the team to achieve a high level of accomplishment on the committed stories for each iteration Shows Agile leadership qualities and leads by example WITH Team Work: Capable of working with development teams and identifying the right division of technical responsibility based on skill sets. Capable of working with external teams (e.g., Support, PO, etc.) that have significantly different technical skill sets and managing the discussions based on their needs Initiative: Capable of creating innovative AI/ML solutions that may include changes to requirements to create a better solution Capable of thinking outside-the-box to view the system as it should be rather than only how it is Proactively generates a continual stream of ideas and pushes to review and advance ideas if they make sense Takes initiative to learn how AI/ML technology is evolving outside the organization Takes initiative to learn how the system can be improved for the customers Should make problems open new doors for innovations Communication: Communicates complex AI/ML concepts internally with ease Accountability: Well versed in all areas of the AI/ML stack (data preprocessing, model training, evaluation, deployment, etc.) and aware of all components in play Leadership: Disagree without being disagreeable Use conflict as a way to drill deeper and arrive at better decisions Frequent mentorship Builds ad-hoc cross-department teams for specific projects or problems Can achieve broad scope 'buy in' across project teams and across departments Takes calculated risks Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: B.E/B.Tech/MCA/MSc/MTech (Minimum 16 years of formal education, Correspondence courses are not relevant) 5+ years of experience working on multiple layers of technology Experience deploying and maintaining ML models in production Experience in Agile teams Experience with one or more data-oriented workflow orchestration frameworks (Airflow, KubeFlow etc.) Working experience or good knowledge of cloud platforms (e.g., Azure, AWS, OCI) Ability to design, implement, and maintain CI/CD pipelines for MLOps and DevOps function Familiarity with traditional software monitoring, scaling, and quality management (QMS) Knowledge of model versioning and deployment using tools like MLflow, DVC, or similar platforms Familiarity with data versioning tools (Delta Lake, DVC, LakeFS, etc.) Demonstrate hands-on knowledge of OpenSource adoption and use cases Good understanding of Data/Information security Proficient in Data Structures, ML Algorithms, and ML lifecycle Product/Project/Program Related Tech Stack: Machine Learning Frameworks: Scikit-learn, TensorFlow, PyTorch Programming Languages: Python, R, Java Data Processing: Pandas, NumPy, Spark Visualization: Matplotlib, Seaborn, Plotly Familiarity with model versioning tools (MLFlow, etc.) Cloud Services: Azure ML, AWS SageMaker, Google Cloud AI GenAI: OpenAI, Langchain, RAG etc. Demonstrate good knowledge in Engineering Practices Demonstrates excellent problem-solving skills Proven excellent verbal, written, and interpersonal communication skills At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone - of every race, gender, sexuality, age, location and income - deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

Job Description – Digital Transformation and Automation Lead About the Role - Drive the digital backbone of a growing commercial real-estate group. - You’ll prototype, test and ship automations that save our teams > 10 hours/week in the first 90 days Total Experience - 2-3 years Availability ~40 hrs/week, 4 days on-site, 1 day remote Core Responsibilities 1. Systems Audit & Consolidation – unify Google Workspace tenants, rationalise shared drives. 2. Database & CRM Build-out – design, deploy, and maintain occupant tracker and a lightweight CRM; migrate legacy data. 3. Automation & Integration – link CRM, Google Sheets, and Tally using Apps Script/Zoho Flow/Zapier. 4. Process Documentation – own the internal wiki; keep SOPs and RACI charts current. 5. Dashboards & Reporting – craft Looker Studio boards for collections, projects, facility KPIs. 6. User Training & Support – deliver monthly clinics; teach teams how to use G Suite, ChatGPT to improve productivity 7. Security & Compliance – enforce 2FA, backup policies, basic network hygiene. 8. Vendor Co-ordination – liaise with Zoho, Tally consultants, ISP/MSP vendors; manage small capex items. Required Skills & Experience Domain Skill Level Workspace & Security ★ LAN/Wi-Fi basics & device hardening Core Automation & Low-Code ★ Apps Script or Zoho Creator/Flow; REST APIs & webhooks Core ★ Workflow bridges (Zapier / Make / n8n) Core • Cursor, Loveable, or similar AI-driven low-code tools Bonus Data Extraction & Integrations ★ Document AI / OCR stack for PDF leases (Google DocAI, Textract, etc.) Core ★ Tally Prime ODBC/API Core CRM & Customer-360 ★ End-to-end rollout of a CRM (Zoho/Freshsales) (migration, custom modules) Core • Help-desk tooling (Zoho Desk, Freshdesk) Bonus Analytics & Reporting ★ Advanced Google Sheets (ARRAYFORMULA, QUERY, IMPORTRANGE) and Looker Studio dashboards Core • Data-warehouse concepts (BigQuery/Redshift) for unified customer view Bonus Programming & Scripting ★ Python or Node.js for lightweight cloud functions / ETL Core ★ Prompt-engineering & Gen-AI APIs (OpenAI, Claude) for copilots Core Project & Knowledge Management • Trello (or equivalent Kanban) Bonus ★Notion / Google Sites for wiki & SOPs Core Soft Skills ★ Clear documentation & bilingual (English/Hindi) training; stakeholder comms Core Compensation - 40 – 50 k p.m Show more Show less

Company Profile: Established in 1993, Koenig is a veteran in the IT industry. Koenig is one of the #1 IT training companies in India and is rapidly expanding internationally, with major centers in India, the USA, the Middle East, Africa, and Australia. Koenig partners with all leading vendors, including Microsoft, VMware, AWS, Cisco, Oracle, CompTIA, ISACA, and Citrix. Koenig specializes in providing technical training on all popular IT certifications and serves customers from over 50 countries worldwide. Why KOENIG: Join a remote-friendly team that values results over office hours, ensuring a great ‘Return on Time’ for work, life, and family. Enjoy the flexibility of a permanent work-from-home setup, allowing you to balance work, life, and family effectively. We offer the best remuneration in the industry. Job Description: We are seeking an experienced Corporate Trainer specializing in Artificial Intelligence, Machine Learning, Deep Learning, OpenAI, and Generative AI. The ideal candidate will be responsible for delivering high-quality training sessions in AI-related technologies. Key Responsibilities: Conduct interactive training sessions on AI, Machine Learning, Deep Learning, OpenAI, and Generative AI. Develop and customize training content based on industry trends and best practices. Stay updated with advancements in AI and integrate them into training programs. Assess and evaluate participant progress through assignments and assessments. Deliver training both online and in person, with a willingness to travel as needed. Requirements: Strong proficiency in AI, Machine Learning, Deep Learning, OpenAI, and Generative AI. AI-related certification or Microsoft Certified Trainer (MCT) preferred. Mandatory knowledge or certification in AI-900, AI-102, and DP-100. Excellent communication, presentation, and mentoring skills. Ability to adapt training methodologies to suit different learning styles. Open to global travel for corporate training programs. Show more Show less

We are seeking an experienced developer to design and implement a Retrieval-Augmented Generation (RAG) knowledge base that enhances team productivity through smart document organization and conversational access. The ideal candidate will also build a user-friendly AI-powered chatbot , integrated with Slack or a custom interface, enabling seamless access to information. Key Responsibilities: Architect and develop a RAG-based knowledge base to store and manage internal documents and project files. Implement document ingestion, embedding, and retrieval pipelines. Integrate a conversational bot capable of querying the knowledge base using natural language (Slack and/or custom interface). Ensure secure, scalable, and efficient performance across the knowledge system. Design intuitive user experiences for non-technical team members to access information easily. Collaborate with stakeholders to understand content structure and workflow needs. Required Skills: Proven experience with RAG pipelines , vector databases , and embedding models . Hands-on expertise in OpenAI GPT-3/4 , ChatGPT , LangChain , AgentGPT , or similar frameworks. Experience integrating conversational bots with Slack , Microsoft Teams , or web-based UIs. Proficiency in Python , Node.js , or any backend stack suitable for AI/ML workflows. Knowledge of document processing , OCR , text chunking , and metadata tagging . Strong problem-solving, organizational, and communication skills. Preferred Qualifications: Prior experience building internal AI tools for enterprise productivity. Familiarity with knowledge management , document classification , and semantic search . Background in deploying models using AWS , GCP , or Azure . Show more Show less

Job Title: AI Agent Builder (1–2 Years Experience) Location: Noida, Work from Office Department: Technology Reports to: Chief Technology Officer Role Overview: We are seeking a highly motivated AI Agent Builder with 1–2 years of hands-on experience in building, deploying, and automating solutions using AI tools and platforms. The ideal candidate must be a self-driven technologist with strong research capabilities and proven expertise in leveraging the latest AI platforms (e.g., Make.com, N8N, ChatGPT, Claude, Vapi.ai, AgentGPT) to build intelligent automation workflows, develop transient assistant AI applications, and create custom AI tools that solve real business problems. Key Responsibilities: · AI Workflow Development: Design, build, and maintain AI-based agents and automation flows using platforms such as Make.com, Zapier, N8N, and others. · Tool Integration: Integrate AI platforms with CRMs, databases, APIs, WhatsApp, email tools, and third-party applications to create seamless end-to-end solutions. · Custom Agent Building: Create and deploy AI agents for tasks such as sales process automation, customer support, lead qualification, task automation, and voice- or chat-based workflows. · Research & Innovation: Stay ahead of the curve by researching emerging AI platforms, frameworks, and plugins. Present innovative applications for internal use or client solutions. · Prompt Engineering: Design effective prompt workflows and memory mechanisms across LLMs (e.g., OpenAI, Claude, CoPilot, Gemini). · Automation Projects: Independently deliver micro-projects and PoCs (proof-of-concept) for cross-functional teams involving AI/ML, RPA, and API automation. · Documentation: Maintain clear technical documentation, usage guides, and workflows for each project. Present technical and function demonstrations to relevant teams for training and education purposes. Required Skills & Experience: · 1–2 years of experience in building and deploying automation or AI solutions. · Hands-on expertise in Make.com , Zapier , N8N , or equivalent no-code/low-code platforms. · Familiarity with LLMs (OpenAI, Claude, Gemini, etc.), vector databases, and prompt design. · Experience in API integrations and web hooks for real-time data flow between tools. · Strong understanding of GPT/AI agent architecture and tool chaining. · Capable of working independently on ideation-to-deployment of automation tools. · Analytical mindset with problem-solving orientation. · Good documentation and communication skills. Good to Have: · Prior experience in building internal tools for HR, sales, or customer service. · Exposure to Python, Node.js, or JavaScript (even basic knowledge). · Understanding of databases (Airtable, MongoDB, Supabase, or SQL). · Knowledge of RAG (Retrieval Augmented Generation) and vector embeddings. What We Offer: · Work on cutting-edge AI projects from Day 1. · Flat hierarchy, fast decision cycles, and ownership-driven culture. · Access to premium tools, APIs, and resources to experiment and innovate. · A high-growth environment that rewards initiative and experimentation. Show more Show less

Generative AI Developer Intern – 2025 Edition 📍 Location : T-Hub, Hyderabad, Telangana, India 🕒 Duration : 3-6 months (Flexible) 📅 Start Date : Immediate About Altibbe Health Pvt Ltd At Altibbe Health Pvt Ltd , we bridge cutting-edge technology with human well-being. Our mission is to build responsibly healthy solutions that empower humanity through transparency, innovation, and virtuous growth. As part of our team, you’ll be contributing not just to AI systems, but to a future where technology serves the greater good. Position Overview We are looking for a Generative AI Developer Intern who is eager to build next-generation AI automation solutions and intelligent agent systems. This is a hands-on opportunity to work with cutting-edge AI frameworks— n8n, LangChain, RAG systems, vector databases, and multi-agent frameworks —to drive business transformation responsibly. Key Responsibilities AI Agent Development Design and implement intelligent agents using LangChain, LangGraph, CrewAI, AutoGen . Develop multi-agent systems where specialized agents collaborate effectively on complex challenges. Build and optimize Retrieval-Augmented Generation (RAG) pipelines to deliver accurate and contextually relevant outputs while upholding ethical AI practices. Workflow Automation & Integration Create sophisticated automation workflows using n8n , integrating APIs, databases, and cloud services. Develop custom nodes and plugins to extend n8n’s capabilities for AI-powered solutions. Implement real-time data processing and decision-making systems using visual workflow builders . Technical Implementation Integrate vector databases ( Pinecone, Chroma, Weaviate ) for efficient similarity search and secure data retrieval. Work with large language models (via APIs like OpenAI, Anthropic, Azure OpenAI ) and open-source alternatives, ensuring responsible deployment. Develop and maintain Python applications for data processing, model integration, and API development, ensuring transparency, auditability, and responsible coding practices. Required Skills & Qualifications Essential Technical Skills Intermediate-level Python proficiency with experience in building applications and automation scripts. Hands-on experience with LangChain/LangGraph for LLM-powered applications. Practical knowledge of n8n for visual workflows and API integrations. Understanding of RAG systems and their implementation. Proficiency with Git/GitHub for version control and REST API development. Important Supporting Skills Familiarity with CrewAI, AutoGen , or similar multi-agent frameworks. Experience with vector databases ( Pinecone, Chroma ) for secure, efficient data storage and retrieval. Basic knowledge of cloud platforms (AWS, Azure OpenAI, Google Cloud) with an emphasis on responsible usage. Prompt Engineering skills to design effective prompts that mitigate bias and enhance LLM performance. Educational Background Pursuing or recently completed a Bachelor’s/Master’s degree in Computer Science, AI , or a related field. Demonstrated projects in machine learning, natural language processing, or automation . Strong problem-solving skills, a passion for innovation, and a commitment to continuous learning. Technical Experience Hands-on experience building production-ready AI agents and automation workflows . Understanding of RAG system optimization and performance tuning . Experience with the AI development lifecycle from prototyping to deployment. Financial Package & Benefits 💰 Internship stipend: ₹15,000 per month , performance-based. 🎯 Bonuses and project completion incentives. 🌐 Access to premium AI tools, cloud credits, and resources. 🏢 Opportunity to work at T-Hub , the world’s largest startup incubator. 📚 Learning stipend for courses, certifications, and conference attendance. Virtues We Value At Altibbe, we believe in fostering not only skills but virtues that shape the future of responsible innovation: ✨ Integrity – Delivering honest and transparent AI solutions. ✨ Humility – Learning from every challenge and contributing as a team player. ✨ Empathy – Creating technology that respects human dignity and well-being. ✨ Excellence – Striving for world-class standards while staying grounded. ✨ Wisdom – Applying knowledge ethically to create a positive impact. Application Process 📄 Submit your resume highlighting relevant projects and technical skills. 💼 Portfolio showcasing your AI, automation, or software development work. ✍️ Brief cover letter explaining your interest in generative AI, your commitment to responsible innovation, and your experience with the listed technologies. Evaluation Process ✅ Technical Screening : Assessment of programming skills and AI concepts. 🔍 Project Review : Discussion of your previous work and technical approach with a focus on ethics and transparency. ⚙️ Practical Task : RAG chatbot development challenge aligned with Altibbe’s values. 💬 Cultural Fit : Interview assessing your growth mindset, collaborative approach, and commitment to Altibbe’s mission. Industry Context India’s generative AI market is booming—expected to contribute over $500 billion to GDP by 2025. At Altibbe, you’ll be at the forefront of responsible AI development, building skills that are essential across industries while shaping a healthier, more transparent future. Ready to Build the Future of Ethical AI? 📧 Email: people@altibbe.com 📞 Phone: 9866133639 Join us at Altibbe Health Pvt Ltd and help create intelligent systems that align technology with the virtues that matter. Show more Show less

Summary Position Summary Assistant Manager– DEVOPS Engineer -DeloitteSupportServicesIndiaPrivate Limited Workyou’ll do: As a CL 4 professional (Assistant Manager or Deputy Manager) in TAX, you will be responsible for leading the designing and implementation of Azure infra components for Applications. Collaborate with development teams, utilizing scripting languages to support Automated IT operations methodology (foundation of cloud services). You will also contribute to technical documentation, security awareness, and cross-team training, while continually developing advanced skills and fostering organizational maturity in all three clouds (Azure, AWS & GCP) Responsibilities Should balance deep technical expertise with strategic thinking, ensure robust, scalable, and secure cloud environment while driving DevOps culture across teams. Design, implement, and manage Azure DevOps pipelines for CI/CD automation. Develop and maintain Infrastructure as Code (IaC) using ARM templates, Terraform, Bicep, and JSON. Automate infrastructure provisioning and configuration using PowerShell, Azure Automation, and AI-assisted scripting tools. Manage and optimize Azure environments, ensuring scalability, security, and performance. Leverage GenAI tools (e.g., GitHub Copilot, Azure OpenAI, ChatGPT Enterprise, or custom LLMs) to enhance code generation, documentation, testing, and release processes. Support containerization and orchestration with AKS (Azure Kubernetes Service) and Docker. Implement GitHub Actions for application and infrastructure automation deployments. Collaborate with application and AI development teams to streamline cloud-native and AI-enhanced best practices. Work closely with enterprise stakeholders to align DevOps and AI strategies with business objectives. Monitor, troubleshoot, and optimize cloud infrastructure and AI-integrated CI/CD pipelines. Coordinate with Member firm leads, process team leads on security solution alignment and solutioning implementation on enterprise application on cloud platforms. Lead and coordinate technical team, ensuring efficient collaboration and performance across different geographical locations. Mentor and develop junior team members, fostering a culture of continuous learning and improvement. Implemented Software Configuration Management processes to control and build new versions for releases. Collaborated with development teams, utilizing scripting languages to support Automated IT operations methodology (foundation of cloud services) RequiredTechnical Skills: Strong experience with Azure Cloud and its DevOps ecosystem Hands-on experience with Azure DevOps (Repos, Pipelines, Artifacts, etc.) Deep expertise in Azure VMs, App Services, Functions, and serverless architectures. Strong understanding of VNET, Load Balancer, Traffic Manager, Azure Firewall, NSGs, Express route and DNS. Migrating applications from on-prem to cloud, IaaS to PaaS and V1 to V2 Gateway and domain joining VMs and troubleshooting Experience with storage (Blob Storage, Azure Files & Azure PaaS SQL Working with Azure AD, RBAC, Key Vault, Managed Identities, and security best practices. Proficiency in Custom alerts, Log Analytics & Application Insights Mastery of YAML-based pipelines, multi-stage workflows, and integration with GitHub/Azure Repos. Integration with SonarQube, Fortify scan and SAST/DAST Scan for code quality and security. Good understating of Terraform, ARM/Bicep and PowerShell Automating resource build using scripting and designing pipelines for Infra setup from scratch Setting up pipelines to automate annual BCP test across applications with minimal user intervention. Working knowledge of ADO, GitHub and GitLab. Migrating pipelines from ADO to GitHub Design, build and maintain docker images for various applications & optimize docker images for performance and security. Deploy and manage Kubernetes clusters, integrate docker and Kubernetes into CI/CD pipelines. Automating deployment process and workflows. Create and maintain comprehensive documentation for docker and Kubernetes setup, process, and procedures. Strong analytical, problem-solving, and multi-tasking skills for timely resolution of complex customer issues. Excellent written and oral communication skills. Self-motivated to improve knowledge and skills. Education: Bachelor’s or master’s degree in computer science, Information Technology, or a related field. Experience: 5-8 years of experience in Azure DEVOPS Proven experience in leading and managing Azure DEVOPS projects. Strong leadership and team management skills. Should be AZ-104 and AZ-400 certified, AWS cloud practitioner or Google Cloud Professional is a plus. Location: Hyderabad Shift Timing: 09:00 AM - 06:00 PM IST : 11:00 AM - 08:00 PM IST : 02:00 PM - 11:00 PM IST Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Professional development From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career. Requisition code: 300277 Show more Show less

Job description Generative AI Developer Intern – 2025 Edition Location: T-Hub, Hyderabad, Telangana, India Duration: 3-6 months (Flexible) Start Date: Immediate About Altibbe Health Pvt Ltd At Altibbe Health Pvt Ltd, we bridge cutting-edge technology with human well-being. Our mission is to build responsibly healthy solutions that empower humanity through transparency, innovation, and virtuous growth. As part of our team, you’ll be contributing not just to AI systems, but to a future where technology serves the greater good. Position Overview We are looking for a Generative AI Developer Intern who is eager to build next-generation AI automation solutions and intelligent agent systems. This is a hands-on opportunity to work with cutting-edge AI frameworks—n8n, LangChain, RAG systems, vector databases, and multi-agent frameworks—to drive business transformation responsibly. Key ResponsibilitiesAI Agent Development Design and implement intelligent agents using LangChain, LangGraph, CrewAI, AutoGen. Develop multi-agent systems where specialized agents collaborate effectively on complex challenges. Build and optimize Retrieval-Augmented Generation (RAG) pipelines to deliver accurate and contextually relevant outputs while upholding ethical AI practices. Workflow Automation & Integration Create sophisticated automation workflows using n8n, integrating APIs, databases, and cloud services. Develop custom nodes and plugins to extend n8n’s capabilities for AI-powered solutions. Implement real-time data processing and decision-making systems using visual workflow builders. Technical Implementation Integrate vector databases (Pinecone, Chroma, Weaviate) for efficient similarity search and secure data retrieval. Work with large language models (via APIs like OpenAI, Anthropic, Azure OpenAI) and open-source alternatives, ensuring responsible deployment. Develop and maintain Python applications for data processing, model integration, and API development, ensuring transparency, auditability, and responsible coding practices. Required Skills & QualificationsEssential Technical Skills Intermediate-level Python proficiency with experience in building applications and automation scripts. Hands-on experience with LangChain/LangGraph for LLM-powered applications. Practical knowledge of n8n for visual workflows and API integrations. Understanding of RAG systems and their implementation. Proficiency with Git/GitHub for version control and REST API development. Important Supporting Skills Familiarity with CrewAI, AutoGen, or similar multi-agent frameworks. Experience with vector databases (Pinecone, Chroma) for secure, efficient data storage and retrieval. Basic knowledge of cloud platforms (AWS, Azure OpenAI, Google Cloud) with an emphasis on responsible usage. Prompt Engineering skills to design effective prompts that mitigate bias and enhance LLM performance. Educational Background Pursuing or recently completed a Bachelor’s/Master’s degree in Computer Science, AI, or a related field. Demonstrated projects in machine learning, natural language processing, or automation. Strong problem-solving skills, a passion for innovation, and a commitment to continuous learning. Technical Experience Hands-on experience building production-ready AI agents and automation workflows. Understanding of RAG system optimization and performance tuning. Experience with the AI development lifecycle from prototyping to deployment. Financial Package & Benefits Internship stipend: ₹15,000 per month, performance-based. Bonuses and project completion incentives. Access to premium AI tools, cloud credits, and resources. Opportunity to work at T-Hub, the world’s largest startup incubator. Learning stipend for courses, certifications, and conference attendance. Virtues We Value At Altibbe, we believe in fostering not only skills but virtues that shape the future of responsible innovation: ✨ Integrity – Delivering honest and transparent AI solutions. ✨ Humility – Learning from every challenge and contributing as a team player. ✨ Empathy – Creating technology that respects human dignity and well-being. ✨ Excellence – Striving for world-class standards while staying grounded. ✨ Wisdom – Applying knowledge ethically to create a positive impact. Application Process Submit your resume highlighting relevant projects and technical skills. Portfolio showcasing your AI, automation, or software development work. Brief cover letter explaining your interest in generative AI, your commitment to responsible innovation, and your experience with the listed technologies. Evaluation Process Technical Screening: Assessment of programming skills and AI concepts. Project Review: Discussion of your previous work and technical approach with a focus on ethics and transparency. Practical Task: RAG chatbot development challenge aligned with Altibbe’s values. Cultural Fit: Interview assessing your growth mindset, collaborative approach, and commitment to Altibbe’s mission. Industry Context India’s generative AI market is booming—expected to contribute over $500 billion to GDP by 2025. At Altibbe, you’ll be at the forefront of responsible AI development, building skills that are essential across industries while shaping a healthier, more transparent future.Ready to Build the Future of Ethical AI? Email: people@altibbe.com Phone: 9866133639 Join us at Altibbe Health Pvt Ltd and help create intelligent systems that align technology with the virtues that matter. Job Type: Internship Contract length: 3 months Pay: ₹14,628.87 - ₹15,000.00 per month Schedule: Day shift Supplemental Pay: Overtime pay Work Location: In person

About Jivi Jivi is transforming primary healthcare with an AI-powered clinical agentic platform designed for 8 billion people. Our flagship product, a super health app, combines an AI doctor and longevity coach. It provides a full-stack solution covering sickness, prevention, and wellness. In just six months, 500,000 users from 170+ countries have already used Jivi. The company was founded by Ankur Jain (BharatPe, WalmartLabs, Stanford), GV Sanjay Reddy (Reddy Ventures, Aragen), and Andrew Ng 's AI Fund (Coursera, DeepLearning). Together, they bring deep expertise in AI, medicine, and scaling billion-dollar ventures. Jivi is powered by groundbreaking research in Large Language Models (LLMs). Our MedX model is ranked #1 globally, surpassing OpenAI and Google Gemini in diagnostic accuracy. Additionally, our AudioX model boasts the lowest word error rate for Indic languages. Jivi’s health knowledge base, one of the largest in the world, plays a key role in training these models. In the spirit of fostering innovation, we’ve open-sourced these models on Hugging Face for the AI community. Jivi has been recognized for its innovation with awards such as the NASSCOM’s Digital Adoption Pioneer Award and the IndiaAI Mission Award. We are proud to be a global leader in AI healthcare. Job Overview In this role, you will design and implement AI algorithms, develop machine learning models, and contribute to the core AI technology powering our healthcare solutions. You will be responsible for analyzing large datasets to extract meaningful insights, which will inform healthcare decisions and improve patient outcomes. As an AI Applied Researcher, you will play a pivotal role in advancing the impact of AI in healthcare. Key Responsibilities AI/ML Model Development: Design, develop, and deploy machine learning or large language (LLM) models Strong Analytical Skills: Apply your analytical expertise to extract actionable insights from complex datasets and leverage AI to address real-world problems. Data Analysis and Preprocessing: Handle data collection, cleaning, preprocessing, and exploratory data analysis to ensure data readiness and quality for modeling. Model Evaluation and Validation: Assess model performance using relevant metrics and validate outcomes through comprehensive testing. Collaboration: Work collaboratively with cross-functional teams, including data engineers, software developers, and domain experts, to understand requirements and deliver impactful solutions. Healthcare Domain Knowledge (Optional): While not mandatory, a background in healthcare, medical imaging, or related fields is a valuable asset. Technical Skills Programming Skills: Proficiency in Python, with experience in AI/ML frameworks such as TensorFlow, PyTorch, and Hugging Face. Familiarity with TensorRT and NVIDIA Triton Server is a plus. Model Expertise: Deep experience with Convolutional Neural Networks (CNNs), diffusion models, transformers, as well as segmentation, object detection, and classification models, including CLIP or similar models. Multimodal Proficiency: Strong knowledge and experience with large language models (LLMs) and multimodal AI approaches. Algorithmic Understanding: Comprehensive understanding of a wide array of machine learning algorithms, including supervised and unsupervised learning, reinforcement learning, and deep learning techniques. Experience & Qualifications Work Experience: At least 3+ years of proven experience as an AI researcher/engineer or in a data science role Education: Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent work experience). Why Work with Jivi? Make a Global Impact : Shape AI-driven healthcare solutions that transform billions of lives and revolutionize global wellness. Accelerate Your Career : Enjoy competitive salaries, growth opportunities, and the chance to take on leadership roles as Jivi scales. Lead in a High-Growth Environment : Own key initiatives, influence company strategy, and drive impactful health projects in a dynamic, fast-paced setting. Collaborate with the Best : Work alongside top professionals in AI and healthcare, learn from experts, and contribute to breakthrough innovations. Jivi’s Products: Jivi is available as a mobile app or as an AI assistant on WhatsApp. You can access Jivi: iOS app Android app WhatsApp Jivi in Media: Economic Times - https://tinyurl.com/m3kep5at Reuters - https://tinyurl.com/mpcs6dpx Inc42 - https://tinyurl.com/emsdas55 Many more - https://www.jivi.ai/news Show more Show less

About Us: Athena is India's largest institution in the "premium undergraduate study abroad" space. Founded 10 years ago by two Princeton graduates, Poshak Agrawal and Rahul Subramaniam, Athena is headquartered in Gurgaon, with offices in Mumbai and Bangalore, and caters to students from 26 countries. Athena’s vision is to help students become the best version of themselves. Athena’s transformative, holistic life coaching program embraces both depth and breadth, sciences and the humanities. Athena encourages students to deepen their theoretical knowledge and apply it to address practical issues confronting society, both locally and globally. Through our flagship program, our students have gotten into various, universities including Harvard University, Princeton University, Yale University, Stanford University, University of Cambridge, MIT, Brown, Cornell University, University of Pennsylvania, University of Chicago, among others. Learn more about Athena: https://www.athenaeducation.co.in/article.aspx Role Overview We are looking for an AI/ML Engineer who can mentor high-potential scholars in creating impactful technology projects. This role requires a blend of strong engineering expertise, the ability to distill complex topics into digestible concepts, and a deep passion for student-driven innovation. You’ll help scholars explore the frontiers of AI—from machine learning models to generative AI systems—while coaching them in best practices and applied engineering. Key Responsibilities: Guide scholars through the full AI/ML development cycle—from problem definition, data exploration, and model selection to evaluation and deployment. Teach and assist in building: Supervised and unsupervised machine learning models. Deep learning networks (CNNs, RNNs, Transformers). NLP tasks such as classification, summarization, and Q&A systems. Provide mentorship in Prompt Engineering: Craft optimized prompts for generative models like GPT-4 and Claude. Teach the principles of few-shot, zero-shot, and chain-of-thought prompting. Experiment with fine-tuning and embeddings in LLM applications. Support scholars with real-world datasets (e.g., Kaggle, open data repositories) and help integrate APIs, automation tools, or ML Ops workflows. Conduct internal training and code reviews, ensuring technical rigor in projects. Stay updated with the latest research, frameworks, and tools in the AI ecosystem. Technical Requirements: Proficiency in Python and ML libraries: scikit-learn, XGBoost, Pandas, NumPy. Experience with deep learning frameworks : TensorFlow, PyTorch, Keras. Strong command of machine learning theory , including: Bias-variance tradeoff, regularization, and model tuning. Cross-validation, hyperparameter optimization, and ensemble techniques. Solid understanding of data processing pipelines , data wrangling, and visualization (Matplotlib, Seaborn, Plotly). Advanced AI & NLP Experience with transformer architectures (e.g., BERT, GPT, T5, LLaMA). Hands-on with LLM APIs : OpenAI (ChatGPT), Anthropic, Cohere, Hugging Face. Understanding of embedding-based retrieval , vector databases (e.g., Pinecone, FAISS), and Retrieval-Augmented Generation (RAG). Familiarity with AutoML tools , MLflow, Weights & Biases, and cloud AI platforms (AWS SageMaker, Google Vertex AI). Prompt Engineering & GenAI Proficiency in crafting effective prompts using: Instruction tuning Role-playing and system prompts Prompt chaining tools like LangChain or LlamaIndex Understanding of AI safety , bias mitigation, and interpretability. Required Qualifications: Bachelor’s degree from a Tier-1 Engineering College in Computer Science, Engineering, or a related field. 2-5 years of relevant experience in ML/AI roles. Portfolio of projects or publications in AI/ML (GitHub, blogs, competitions, etc.) Passion for education, mentoring , and working with high school scholars. Excellent communication skills, with the ability to convey complex concepts to a diverse audience. Preferred Qualifications: Prior experience in student mentorship, teaching, or edtech. Exposure to Arduino, Raspberry Pi, or IoT for integrated AI/ML projects. Strong storytelling and documentation abilities to help scholars write compelling project reports and research summaries. Show more Show less

Position Brief: The Finance Manager will be responsible for overseeing financial operations, ensuring accurateaccounts and book closures, managing invoices, and assisting in developing systems for better organisational processes. This role involves direct coordination with tax consultants, auditors, and various teams within the organisation. The Finance Manager will work independently and closely with management to maintain financial efficiency and assist in operations. Responsibilities: Accounts & Book Closures: • Regularly close accounts and books in coordination with tax consultants and auditors. • Maintain all financial records, bills, and expenses. Invoicing & Payments: • Generate invoices and manage reimbursements. • Follow up with clients for payments. GST and TDS • Manage monthly GST filings and ensure timely submissions. • Handle TDS deductions, filings, and reconciliation in coordination with consultants. • Maintain accurate records for GST and TDS for audit and compliance purposes. Investor Communication: • Organise and sort investor reach-out lists. • Run regular campaigns on behalf of clients. System & Process Development • Help create and maintain systems within the organisation. • Ensure proper documentation and maintain databases. • Develop Standard Operating Procedures (SOPs) for all organisational activities. Payroll & Attendance Management: • Maintain payrolls and attendance trackers. • Coordinate with management for end-of-month approvals. Daily Operations Tracking: • Maintain everyday trackers to align team activities at the start of the day. Miscellaneous Operational Support: • Create and manage business email IDs. • Update business SIM cards regularly. • Assist in overall operations, working directly with management. Excel & Automation: • Be proficient in Excel to automate tasks within the organisation. • Familiarity with OpenAI or ChatGPT to enhance efficiency. Qualifications: • 2-3 years of relevant experience in finance management. • Strong knowledge of accounting and bookkeeping practices. • Excellent Excel skills, including task automation. • Familiariy with AI tools like OpenAI or ChatGPT. • Strong organizational and coordination skills. • Ability to work independently and directly with management. Show more Show less

QuartzBio Overview: QuartzBio (www.quartz.bio ) is a Software-as-a-Service (SaaS) solutions provider to the life sciences industry. We deliver innovative, data enabling technologies (i.e., software) that provide biotech/pharma (R&D) teams with enterprise-level access to sample/biomarker data management solutions & analytics, information, insight & reporting capabilities. Our end-to-end (from sample collection to biomarker data) suite of solutions are focused on providing sponsors information (data with context) – we do this by connecting biospecimen, assay as well as clinical data sources in a secure and scalable cloud-based infrastructure, enabling seamless, automated data management workflows, key insight development, improved collaboration, and the ability to make faster, more informed decisions. Position Summary: As Associate AI Engineer Director, you will play a pivotal role in defining and delivering the architecture, strategy, and execution of advanced GenAI systems that power our core products and enable intelligent exploration of biomarker data. You will lead the technical direction of the AI engineering function, ensuring cross-team alignment and driving long-term roadmap planning. In this leadership role, you will architect complex, scalable GenAI pipelines, guide technical design across squads, and influence executive-level decision-making around AI strategy, tooling, and infrastructure. You will also champion best practices in AI-first development, mentor engineering talent, and drive the adoption of emerging AI technologies to ensure our systems remain at the forefront of innovation. Key Responsibilities: Architect and lead the development of next-generation RAG systems using vector databases, semantic embeddings, and cloud-native services. Design and implement scalable, production-ready GenAI pipelines and LLM-based services to power intelligent, conversational exploration of biomarker data. Collaborate across Product, Engineering, and Design to align AI architecture with roadmap priorities and user needs. Own key architectural decisions around model orchestration, latency optimization, prompt design, and scalability Strategic technical advisor to leadership and help prioritize AI investments with long-term impact. Provide technical leadership across squads, driving design reviews, AI solution quality standards, and architectural consistency. Lead internal initiatives to adopt and evaluate emerging AI/LLM frameworks, orchestration platforms, and foundation models. Define and refine LLM evaluation frameworks, feedback pipelines, and end-user quality metrics. Champion best practices for AI-first development, observability, versioning, and experimentation Serve as a mentor and multiplier, developing talent across the AI engineering organization. Drive strategic AI initiatives aligned with business goals. Subject matter expert in AI and machine learning technologies. Draft and maintain internal documentation for relevant AI systems and processes; communicate within and across teams. Debug and troubleshoot complex AI system issues and provide timely solutions. Mentor and develop AI engineers; help scale the AI organization through strategic hiring, training, and leadership. Communicate effectively with team members and stakeholders. Collaborate with cross-functional teams to define AI project requirements and timelines. Continuously improving technical skills and staying up to date with emerging AI technologies and shifting priorities Other duties as assigned. Qualifications: Bachelor’s degree related field and a minimum of 12 years of relevant work experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions. 10+ years of engineering experience, including 5+ years shipping production ML/AI systems, with a focus on LLMs or GenAI 6-8 years of experience working in a customer-facing role and leading projects. Proven experience driving architecture and strategy for complex AI systems at scale Deep expertise in Python, cloud platforms (especially AWS), and modern AI/ML infrastructure Advanced proficiency with semantic search, vector databases, and retrieval-augmented generation (RAG) architectures Experience working with LLM tooling such as Lang Chain, Llama Index, AWS Bedrock, OpenAI, or similar Familiarity with evaluation pipelines, human-in-the-loop feedback systems, and performance optimization Strong systems thinking and algorithmic fundamentals (DSA) Excellent communication skills, with a track record of aligning stakeholders and driving strategic initiatives. Comfortable in AI-native environments using tools like GitHub Copilot, Cursor, or related development assistants. Strong ability to identify and present information or data that will have a strong effect on others. Strong ability to partner with customers. Strong ability to review and understand end-to-end work processes. Skilled at collaborating with customers to understand their requirements and expectations by asking questions and listening. Excellent problem-solving and analytical skills. Leadership expectations: Follows Company's Principle and code of ethics on a day-to-day basis. Shows appreciation for individual talents, differences, and abilities of fellow team members. Listens and responds with appropriate actions. Leads change initiatives and continuous process improvements. Any data provided as a part of this application will be stored in accordance with our Privacy Policy. For CA applicants, please also refer to our CA Privacy Notice. Precision Medicine Group is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other characteristics protected by law. If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Precision Medicine Group at QuestionForHR@precisionmedicinegrp.com. It has come to our attention that some individuals or organizations are reaching out to job seekers and posing as potential employers presenting enticing employment offers. We want to emphasize that these offers are not associated with our company and may be fraudulent in nature. Please note that our organization will not extend a job offer without prior communication with our recruiting team, hiring managers and a formal interview process. Show more Show less

About the Role: We’re looking for a highly experienced, hands-on Tech Lead who brings deep technical expertise in full stack development and Gen AI, with strong leadership instincts. This person will actively contribute to the codebase, architect intelligent solutions, and mentor a growing team of developers. A strong background in chatbot development and AI-powered application design is essential. Key Responsibilities: · Lead design, architecture, and development of scalable full-stack applications using Node.js and Python · Drive end-to-end delivery of Gen AI features , including integrating OpenAI APIs, designing RAG pipelines, and applying prompt engineering · Architect and implement chatbot platforms and conversational flows using third-party tools or custom frameworks · Mentor and guide junior/mid-level developers through code reviews, pair programming, and technical discussions · Collaborate with cross-functional teams (UX, AI/ML, product) to align technology with business goals · Build robust APIs and data processing layers for backend systems, ensuring performance and reliability · Contribute hands-on to UI development using HTML, CSS, JavaScript, and modern frameworks · Enforce best practices in coding, testing, and agile delivery · Manage technical risks, escalate issues early, and drive resolution in coordination with stakeholders Requirements Must-Have Skills: · 4+ years of experience in full stack development with Node.js, Python , and web technologies · Proven experience in building and scaling chatbots and Gen AI applications on Azure. · Deep understanding of OpenAI APIs, prompt engineering, and LLM integration · Hands-on experience designing or implementing Retrieval-Augmented Generation (RAG) systems · Strong knowledge of REST APIs, SQL/NoSQL databases, and cloud-native development · Solid experience with frontend frameworks (e.g., React, Vue.js) and UI best practices Show more Show less

LLMs - OpenAI, Gemini, CoPilot etc. Good Knowledge of RAG Pipeline Architectures Fine/Prompt/Instruction Tuning of LLMs machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn). cloud services (GCP, Azure, AWS).

Job Title: Conversational AI Engineer / NLP & LLM Integration Specialist Experience Required: 2–5 years About the Role We are seeking a highly motivated Conversational AI Engineer to join our team in building intelligent, AI-powered dialogue systems, chatbots, and document-based Q&A tools. This role requires a deep understanding of NLP, LLM (Large Language Model) integration, and the ability to build AI pipelines that convert unstructured data into meaningful responses. The ideal candidate should have strong experience with Python, ML libraries, and API-driven architectures. This is a hands-on, research-to-deployment role . You will play a key part in shaping the product’s intelligence and language capabilities — from designing conversation flows to building semantic search systems and custom logic engines. Key Responsibilities Design and implement AI-driven chatbots and Q&A systems using NLP and LLMs. Perform prompt engineering for LLMs like OpenAI, Claude, or open-source models. Handle Excel/CSV/JSON data parsing to structure domain-specific knowledge bases. Build and integrate information retrieval and semantic search features. Apply intent classification , category detection , and dialogue management techniques. Deploy and optimize backend services that serve AI responses through APIs. Collaborate closely with designers and product teams to build domain-aware, user-friendly conversations . (Optional) Integrate or build astrology-based models or rule-based prediction engines . Required Skills Strong experience in Natural Language Processing (NLP) . Familiarity with LLM integration , prompt engineering , and RAG architectures . Practical knowledge of Machine Learning / Deep Learning . Strong programming skills in Python . Experience working with structured and unstructured data (CSV, JSON, Excel). Familiarity with Conversational AI tools (e.g., Rasa, Dialogflow, or custom-built systems). Understanding of information retrieval, semantic search , and vector embeddings . Ability to write clean, production-ready code and deploy services using Flask/FastAPI . Solid understanding of user intent classification and conversational flow design. Preferred Qualifications Experience building chatbots , virtual assistants, or AI-driven user interfaces. Prior exposure to astrology or rule-based prediction engines (a plus but not required). Familiarity with knowledge graphs or domain-specific ontologies. Hands-on experience with vector stores (e.g., Pinecone , FAISS , Weaviate ) and embedding techniques. Ability to work independently and communicate ideas clearly and effectively. Location : Mohali, Punjab Show more Show less

Area(s) of responsibility Job Title: Senior Developer - AI/ML & Generative AI Location: Pune Job Type: Full-time Job Summary We are looking for a highly experienced Senior Developer with a strong background in Python, AI/ML, Generative AI, and experience with Azure OpenAI, Large Language Models (LLMs), cloud platforms like Azure and AWS, and various databases to join our dynamic team. The ideal candidate will have a proven track record of developing and deploying advanced AI solutions, with a focus on leveraging Generative AI techniques to drive innovation and efficiency. Key Responsibilities AI/ML Development Generative AI Solutions Python Programming Data Analysis and Modeling Azure OpenAI and LLMs Cloud Platforms Database Management Collaboration Mentorship Continuous Improvement Documentation Show more Show less

Do you want to work hands-on with LangChain, CrewAI, and real-world AI agents solving complex problems at scale? If you're ready to level up your career in the world of autonomous AI , If you are passionate about building the future of AI? W e want to hear from you. Title: AI Agent Developer - Python (LangChain + CrewAI) Location: Noida, Sec-62 (On-site) Initial Work Location: Patel Nagar, New Delhi (2–3 months) Experience Required: 3+ years Employment Type: Full-time 🚀 About the Role We’re looking for an experienced AI Agent Developer who thrives at the intersection of LLMs, agentic workflows, and autonomous systems . If you're excited by building intelligent, tool-using AI agents that interact, reason, and solve real-world problems — this is your place . You’ll work on cutting-edge GenAI products , leveraging CrewAI, LangChain , and vector databases to build high-performance agent frameworks and end-to-end RAG pipelines. 🧠 What You'll Do Architect and build modular, asynchronous Python applications following clean code principles. Define and orchestrate agents using CrewAI – set up tasks, memory, roles, and coordination logic. Develop custom chains and tools using LangChain (AgentExecutor, LLMChain, Memory, Structured Tools). Design advanced prompts using Few-Shot, ReAct, Chain-of-Thought techniques. Integrate with LLM APIs like OpenAI, Anthropic, Mistral, HuggingFace . Build scalable RAG pipelines using vector stores (FAISS, Chroma, Pinecone, etc.). Add tool-use capabilities: web scraping, API integration, PDF parsing , file management. Design memory systems for persistent, context-aware agent behavior. Optimize reasoning logic using DSA and algorithmic problem solving . Package and deploy your work using Docker, Git, Pipenv/Poetry . 🛠️ Required Skills Strong in Python 3.x – async, modular structure, type hinting. LangChain (LLMChain, AgentExecutor, Tools, Memory) – must-have. CrewAI / LangGraph / AutoGen – hands-on experience required. Prompt Engineering – ReAct, Few-Shot, Chain-of-Thought strategies. Integration with LLM APIs – OpenAI, HuggingFace, Anthropic, Mistral. Vector DBs – FAISS, Chroma, Pinecone, Weaviate. Building end-to-end RAG pipelines using LangChain + VectorDB. Agent Memory: BufferMemory, ConversationBufferMemory, VectorStoreMemory. Async programming with asyncio and LangChain hooks. Strong grasp of DSA/Algorithms to optimize agent behavior. 🌟 Bonus Skills Exposure to ML libraries : Scikit-learn, XGBoost, basic TensorFlow. Understanding of NLP foundations : embeddings, tokenization, similarity scoring. Familiarity with DevOps : Docker, GitHub Actions, Pipenv/Poetry. 🎯 Why Join Us? Work on real AI agents that execute autonomous reasoning. Collaborate with a fast-paced, highly motivated AI team building from scratch. Directly influence architecture, UX, and product impact. Stay ahead by building on top of CrewAI, LangChain, LLM APIs , and the latest vector DB tools. Opportunity to lead initiatives and ship innovative GenAI solutions. Show more Show less

Data Scientist Associate Responsibilities As a selected intern, your daily tasks will include: Engaging in data science projects and analytics. Developing and implementing data models, AI, ML, deep learning, NLP, GenAI, LangChain, LLM, LLAMA, OpenAI, and GPT-based solutions. Managing data pipelines, ETL/ELT processes, and data warehousing. Utilizing Python and its libraries for advanced programming tasks. Handling data collection, management, cleaning, and transformation. Creating data visualizations using BI tools such as Power BI, Kibana, and Google Data Studio. Working with databases like MongoDB, Neo4j, Dgraph, and SQL. Leveraging cloud platforms, including GCP, AWS, Azure, Linode, and Heroku. Required Skills Python Flask Django MongoDB API Development Elasticsearch Machine Learning Artificial Intelligence Job Details Work Mode: Remote (Work From Home) Start Date: Immediate Duration: 6 months Stipend: ₹10,000 – ₹12,000 per month Industry: Information Technology & Services Employment Type: Probation of 6 Months followed by Full-time Position based on performance Show more Show less

Reso is a leading research organization that started its operations in the Middle East. Headquartered in Bahrain, the company provides high-quality on-demand research tailored to client’s needs through its teams based in Bahrain, India, UAE, Egypt and KSA. Reso is hiring a Full Stack Engineer, for its office at Gurugram. We are seeking a talented, motivated, and curious individual to join our dynamic Data & AI team. In this role, you will be part of a cutting-edge environment responsible for designing and implementing Generative AI web applications, optimizing user experiences, and driving our digital transformation. You will leverage your expertise in modern front-end and back-end technologies, ideally with a focus on Microsoft Azure Cloud services, to create scalable, maintainable, and efficient AI-based software solutions. Working with us provides many opportunities to grow and learn. Assignments vary across sectors and geographies, enabling team members to gain broad knowledge and exposure. A typical day at Reso is dynamic and demanding, filled with multiple client deliverables and tight deadlines. We expect our team members to be diligent, resourceful, and efficient. The work is highly collaborative, and we maintain a friendly and supportive team atmosphere. Key Responsibilities: Design & Development: Develop end-to-end web applications, from front-end interfaces to back-end microservices and APIs. Cloud Deployment: Utilize Microsoft Azure Cloud services (preferred) for deploying, managing, and scaling applications. Code Quality & Best Practices: Write clean, modular, and well-documented code; contribute to code reviews and ensure adherence to industry best practices. Generative AI Knowledge: Conduct research and stay up-to-date with the latest advancements in Generative AI and AI frameworks. Performance Optimization: Monitor and optimize application performance, scalability, and security. Continuous Integration & Delivery: Set up and maintain CI/CD pipelines to ensure reliable and automated builds, tests, and deployments. Troubleshooting: Diagnose and resolve complex technical issues in both the front-end and back-end systems. Required Skills and Qualifications: A Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field. 3-4 years of full-stack development experience, ideally in a fast-paced environment. Strong proficiency in front-end technologies (e.g., HTML, CSS, JavaScript, React, Angular, or Vue.js). Solid experience with back-end frameworks (e.g., Node.js, .NET, Python, or similar) and RESTful APIs. Familiarity with database technologies (SQL and/or NoSQL). Hands-on experience with cloud services (preferably Microsoft Azure). Understanding of DevOps practices, including CI/CD, containerization (Docker/Kubernetes), and infrastructure as code. Excellent problem-solving and communication skills, with the ability to work collaboratively and deliver under tight deadlines. Desirable: Experience with LangChain, OpenAI APIs, Azure AI Search, Azure OpenAI Experience in Agentic AI frameworks such as LangGraph, CrewAI, AG2 (AutoGen) Experience with Azure DevOps or Azure-specific services (e.g., Azure App Service, Azure SQL..etc) Familiarity with microservices architecture Knowledge of security best practices and modern authentication/authorization methods (OAuth, JWT..etc) Exposure to task management tools like Jira Why Join Reso? Innovative Environment: Be part of a growing tech team and build new, cutting-edge solutions. Professional Growth: Opportunities for continuous learning and skill enhancement. Collaborative Culture: Work alongside a diverse, friendly, and supportive team. Regional Impact: Contribute to projects spanning various industries and geographies. Join us at Reso to be at the forefront of our digital transformation. We offer a dynamic and challenging environment, with ample opportunities for growth and learning. Recruitment process: Initial screening call Case study - this will help assess relevant technical skills and will require 8-10 hours of effort Competency based assessment/ Paid Internship - this involves 1-2 days of working with our team To learn more about us, visit www.resoinsights.com and follow our Instagram account @lifeatreso. If you are passionate about full-stack development and excited to work with cloud technologies, we want to hear from you! Apply now and help shape the future of research technology in the Middle East. Show more Show less

Function: Data Science Job: Machine Learning Engineer Position: Senior Immediate manager (N+1 Job title and name): AI Manager Additional reporting line to: Global VP Engineering Position location: Mumbai, Pune, Bangalore, Hyderabad, Noida. 1. Purpose of the Job – A simple statement to identify clearly the objective of the job. The Senior Machine Learning Engineer is responsible for designing, implementing, and deploying scalable and efficient machine learning algorithms to solve complex business problems. The Machine Learning Engineer is also responsible of the lifecycle of models, once deployed in production environments, through monitoring performance and model evolution. The position is highly technical and requires an ability to collaborate with multiple technical and non-technical profiles (data scientists, data engineers, data analysts, product owners, business experts), and actively take part in a large data science community. 2. Organization chart – Indicate schematically the position of the job within the organization. It is sufficient to indicate one hierarchical level above (including possible functional boss) and, if applicable, one below the position. In the horizontal direction, the other jobs reporting to the same superior should be indicated. A Machine Learning Engineer reports to the AI Manager who reports to the Global VP Engineering. 3. Key Responsibilities and Expected Deliverables– This details what actually needs to be done; the duties and expected outcomes. Managing the lifecycle of machine learning models Develop and implement machine learning models to solve complex business problems. Ensure that models are accurate, efficient, reliable, and scalable. Deploy machine learning models to production environments, ensuring that models are integrated with software systems. Monitor machine learning models in production, ensuring that models are performing as expected and that any errors or performance issues are identified and resolved quickly. Maintain machine learning models over time. This includes updating models as new data becomes available, retraining models to improve performance, and retiring models that are no longer effective. Develop and implement policies and procedures for ensuring the ethical and responsible use of machine learning models. This includes addressing issues related to bias, fairness, transparency, and accountability. Development of data science assets Identify cross use cases data science needs that could be mutualised in a reusable piece of code. Design, contribute and participate in the implementation of python libraries answering a data science transversal need that can be reused in several projects. Maintain existing data science assets (timeseries forecasting asset, model monitoring asset) Create documentation and knowledge base on data science assets to ensure a good understanding from users. Participate to asset demos to showcase new features to users. Be an active member of the Sodexo Data Science Community Participate to the definition and maintenance of engineering standards and set of good practices around machine learning. Participate to data science team meeting and regularly share knowledge, ask questions, and learn from others. Mentor and guide junior machine learning engineers and data scientists. Participate to internal or external relevant conferences and meet ups. Continuous Improvements Stay up to date with the latest developments in the field: read research papers, attend conferences, and participate in trainings to expand their knowledge and skills. Identify and evaluate new technologies and tools that can improve the efficiency and effectiveness of machine learning projects. Propose and implement optimizations for current machine learning workflows and systems. Proactively identify areas of improvement within the pipelines. Make sure that created code is compliant with our set of engineering standards. Collaboration with other data experts (Data Engineers, Platform Engineers, and Data Analysts) Participate to pull requests reviews coming from other team members. Ask for review and comments when submitting their own work. Actively participate to the day-to-day life of the project (Agile rituals), the data science team (DS meeting) and the rest of the Global Engineering team 4. Education & Experience – Indicate the skills, knowledge and experience that the job holder should require to conduct the role effectively Engineering Master’s degree or PhD in Data Science, Statistics, Mathematics, or related fields 5 years+ experience in a Data Scientist / Machine Learning Engineer role into large corporate organizations Experience of working with ML models in a cloud ecosystem Statistics & Machine Learning Statistics : Strong understanding of statistical analysis and modelling techniques (e.g., regression analysis, hypothesis testing, time series analysis) Classical ML : Very strong knowledge in classical ML algorithms for regression & classification, supervised and unsupervised machine learning, both theoretical and practical (e.g. using scikit-learn, xgboost) ML niche: Expertise in at least one of the following ML specialisations: Timeseries forecasting / Natural Language Processing / Computer Vision Deep Learning: Good knowledge of Deep Learning fundamentals (CNN, RNN, transformer architecture, attention mechanism, …) and one of the deep learning frameworks (pytorch, tensorflow, keras) Generative AI: Good understanding of Generative AI specificities and previous experience in working with Large Language Models is a plus (e.g. with openai, langchain) MLOps Model strategy : Expertise in designing, implementing, and testing machine learning strategies. Model integration : Very strong skills in integrating a machine learning algorithm in a data science application in production. Model performance: Deep understanding of model performance evaluation metrics and existing libraries (e.g., scikit-learn, evidently) Model deployment: Experience in deploying and managing machine learning models in production either using specific cloud platform, model serving frameworks, or containerization. Model monitoring : Experience with model performance monitoring tools is a plus (Grafana, Prometheus) Software Engineering Python: Very strong coding skills in Python including modularity, OOP, data & config manipulation frameworks (e.g., pandas, pydantic) etc. Python ecosystem: Strong knowledge of tooling in Python ecosystem such as dependency management tooling (venv, poetry), documentation frameworks (e.g. sphinx, mkdocs, jupyter-book), testing frameworks (unittest, pytest) Software engineering practices: Experience in putting in place good software engineering practices such as design patterns, testing (unit, integration), clean code, code formatting etc. Debugging : Ability to troubleshoot and debug issues within machine learning pipelines Data Science Experimentation and Analytics Data Visualization : Knowledge of data visualization tools such as plotly, seaborn, matplotlib, etc. to visualise, interpret and communicate the results of machine learning models to stakeholders. Basic knowledge of PowerBI is a plus Data Cleaning : Experience with data cleaning and preprocessing techniques such as feature scaling, dimensionality reduction, and outlier detection (e.g. with pandas, scikit-learn). Data Science Experiments : Understanding of experimental design and A/B testing methodologies Data Processing: Databricks/Spark : Basic knowledge of PySpark for big data processing Databases : Basic knowledge of SQL to query data in internal systems Data Formats : Familiarity with different data storage formats such as Parquet and Delta DevOps Azure DevOps : Experience using a DevOps platform such as Azure DevOps for using Boards, Repositories, Pipelines Git: Experience working with code versioning (git), branch strategies, and collaborative work with pull requests. Proficient with the most basic git commands. CI / CD : Experience in implementing/maintaining pipelines for continuous integration (including execution of testing strategy) and continuous deployment is preferable. Cloud Platform: Azure Cloud : Previous experience with services like Azure Machine Learning Services and/or Azure Databricks on Azure is preferable. Soft skills Strong analytical and problem-solving skills, with attention to detail Excellent verbal and written communication and pedagogical skills with technical and non-technical teams Excellent teamwork and collaboration skills Adaptability and reactivity to new technologies, tools, and techniques Fluent in English 5. Competencies – Indicate which of the Sodexo core competencies and any professional competencies that the role requires Communication & Collaboration Adaptability & Agility Analytical & technical skills Innovation & Change Rigorous Problem Solving & Troubleshooting Show more Show less