1522 Openai Jobs - Page 22

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

Webs Optimization Software Solution (www.websoptimization.com/) , Ahmedabad is hiring for Highly Enthusiastic & Motivated MERN Stack Developer Job Designation: MERN Stack Developer Job Location: Ahmadabad, Gujarat [WFO Only] Work Experience: 2 - 3 Years Working Days: 5 Days About Our Company: Webs Optimization Software Solution, established in 2013 and based in Sola, S.G. Highway, Ahmedabad, is a leading technology solutions provider. Our team of over 80+ skilled professionals specializes in custom web and mobile app development. We deliver innovative, tailored solutions across various industries, ensuring excellence and customer satisfaction. JOB DESCRIPTION: Enterprise-Level Development: Design, develop, and deploy full-stack web applications for enterprise systems, gaming platforms, and social media applications. Backend Development: Build and maintain scalable backend services using Node.js, Next.js, Nest.js, and related frameworks. Frontend Development: Create dynamic and responsive user interfaces using React.js . Familiarity with Next.js and Vue.js is a plus. Third-Party Integrations: Integrate APIs, payment gateways, cloud services, and social media platforms effectively. Database Management: Design, optimize, and manage both relational (PostgreSQL, MySQL) and NoSQL (MongoDB) databases for large-scale data handling. Cloud Infrastructure: Deploy and manage applications on AWS (e.g., EC2, S3, Lambda, RDS) for scalable and reliable performance. Containerization: Use Docker for application containerization and ensure smooth deployment across environments. Team Leadership & Communication: Lead development teams, mentor junior developers, and maintain clear communication with clients to gather requirements and ensure delivery satisfaction. Performance Optimization: Improve application speed, scalability, and security to ensure high availability and excellent user experience. Agile Collaboration: Work in Agile teams, participating in sprint planning, reviews, and delivering consistent, high-quality results. AI Integration: Collaborate on AI features such as chatbots, recommendation systems, sentiment analysis, or content generation using tools like OpenAI, AWS AI/ML, or Google Cloud AI. Required Skills & Experience Node.js: 2+ years of hands-on experience with scalable backend development. React.js & Next.js: Strong expertise in building modern frontends, including SSR and SSG. Database Expertise: Solid experience with PostgreSQL, MySQL, and MongoDB, including schema design and performance tuning. Cloud Platforms: Proficient in AWS services (EC2, S3, Lambda, RDS) for hosting and scaling applications. Docker: Deep understanding of containerization with Docker; familiarity with orchestration tools like Kubernetes. AI Tooling: Exposure to AI platforms such as OpenAI, Google Cloud AI, or similar tools. Why Join Webs Optimization Software Solution? Working Days: 5 days a week Company History: Incorporated since 2013 Team: An ever-growing team of 80+ highly talented professionals Work Schedule: Flexible working hours Health Benefits: Medical insurance Work Culture: Positive atmosphere and culture promoting personal growth Job Satisfaction: Job satisfaction and stability with a suitable leave policy Company Activities: Fun company activities Benefit of WFH Policy Job Types: Full-time, Permanent Pay: ₹30,000.00 - ₹50,000.00 per month Benefits: Flexible schedule Health insurance Leave encashment Life insurance Schedule: Day shift Monday to Friday Work Location: In person

Category: Software Development/ Engineering Main location: India, Karnataka, Bangalore Position ID: J0625-0079 Employment Type: Full Time Position Description: Company Profile: Founded in 1976, CGI is among the largest independent IT and business consulting services firms in the world. With 94,000 consultants and professionals across the globe, CGI delivers an end-to-end portfolio of capabilities, from strategic IT and business consulting to systems integration, managed IT and business process services and intellectual property solutions. CGI works with clients through a local relationship model complemented by a global delivery network that helps clients digitally transform their organizations and accelerate results. CGI Fiscal 2024 reported revenue is CA$14.68 billion and CGI shares are listed on the TSX (GIB.A) and the NYSE (GIB). Learn more at cgi.com. Position: Manage Consulting Expert- AI Architect Experience: 13-16 years Category: Software Development/ Engineering Shift Timing: General Shift Location: Bangalore Position ID: J0625-0079 Employment Type: Full Time Education Qualification: Bachelor's degree in Computer Science or related field or higher with minimum 13 years of relevant experience. We are looking for an experienced and visionary AI Architect with a strong engineering background and hands-on implementation experience to lead the development and deployment of AI-powered solutions. The ideal candidate will have a minimum of 13–16 years of experience in software and AI systems design, including extensive exposure to large language models (LLMs), vector databases, and modern AI frameworks such as LangChain. This role requires a balance of strategic architectural planning and tactical engineering execution, working across teams to bring intelligent applications to life. Your future duties and responsibilities: Design robust, scalable architectures for AI/ML systems, including LLM-based and generative AI solutions. Lead the implementation of AI features and services in enterprise-grade products with clear, maintainable code. Develop solutions using LangChain, orchestration frameworks, and vector database technologies. Collaborate with product managers, data scientists, ML engineers, and business stakeholders to gather requirements and translate them into technical designs. Guide teams on best practices for AI system integration, deployment, and monitoring. Define and implement architecture governance, patterns, and reusable frameworks for AI applications. Stay current with emerging AI trends, tools, and methodologies to continuously enhance architecture strategy. Oversee development of Proof-of-Concepts (PoCs) and Minimum Viable Products (MVPs) to validate innovative ideas. Ensure systems are secure, scalable, and high-performing in production environments. Mentor junior engineers and architects to build strong AI and engineering capabilities within the team. Required qualifications to be successful in this role: Must to have Skills- 13–16 years of overall experience in software development, with at least 5+ years in AI/ML system architecture and delivery. Proven expertise in developing and deploying AI/ML models in production environments. Deep knowledge of LLMs, LangChain, prompt engineering, RAG (retrieval-augmented generation), and vector search. Strong programming and system design skills with a solid engineering foundation. Exceptional ability to communicate complex concepts clearly to technical and non-technical stakeholders. Experience with Agile methodologies and cross-functional team leadership. Programming Languages: Python, Java, Scala, SQL AI/ML Frameworks: LangChain, TensorFlow, PyTorch, Scikit-learn, Hugging Face Transformers Data Processing: Apache Spark, Kafka, Pandas, Dask Vector Stores & Retrieval Systems: FAISS, Pinecone, Weaviate, Chroma Cloud Platforms: AWS (SageMaker, Lambda), Azure (ML Studio, OpenAI), Google Cloud AI MLOps & DevOps: Docker, Kubernetes, MLflow, Kubeflow, Airflow, CI/CD tools (GitHub Actions, Jenkins) Databases: PostgreSQL, MongoDB, Redis, BigQuery, Snowflake Tools & Platforms: Databricks, Jupyter Notebooks, Git, Terraform Good to have Skills- Solution Engineering and Implementation Experience in AI Project. Skills: AWS Machine Learning English GitHub Python Jenkins Kubernetes Prometheus Snowflake What you can expect from us: Together, as owners, let’s turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you’ll reach your full potential because… You are invited to be an owner from day 1 as we work together to bring our Dream to life. That’s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company’s strategy and direction. Your work creates value. You’ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. You’ll shape your career by joining a company built to grow and last. You’ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons. Come join our team—one of the largest IT and business consulting services firms in the world.

Program Manager II Bangalore, Karnataka, India Date posted Jun 10, 2025 Job number 1823111 Work site Up to 50% work from home Travel 0-25 % Role type Individual Contributor Profession Program Management Discipline Customer Experience Program Mgmt Employment type Full-Time Overview Microsoft 365 Copilot is a new offering that harnesses the power of generative AI through foundational large language models to usher in a new era of AI-first productivity for hundreds of millions of enterprise users. As business workflows don't typically run exclusively on Microsoft 365 applications and data formats, Copilot is built as a platform right from the very beginning. Using extensibility, customers augment M365 Copilot with custom skills and organizational-specific knowledge to enable truly spectacular AI scenarios and power connected workflows. As a Customer Experience Program Manager in the M365 Copilot Platform Ecosystem team, you will drive the next wave of AI & Copilot productivity solutions (referred to as "Copilot Agents") built using the latest generative AI technology on M365 Copilot’s extensible platform. Working with the strategic enterprise customers and partners, you will deliver high-quality, sticky and transformative Copilot agents while helping enterprise customers shape their AI platform strategy powering enterprise business workflows and experiences. You will further collaborate with CXOs, Architects and developers from Customers and partners to drive product-market fit for Copilot agents, grow adoption and deliver business outcomes. This engineering PM role is an excellent opportunity to don both a scenario and experience-focused product PM as well as an external-facing market PM hat – at the same time! You will have a direct role in pushing the latest AI frontiers, including autonomous agents, agentic AI systems, deep research and reasoning, multi-agent frameworks, complex data reasoning, model fine-tuning and agentic UX. We are looking for self-motivated, entrepreneurial, hands-on technical and outcome-driven Program Manager candidates who can operate in a fast-paced environment with high ability to influence without authority, perform rapid exploration, high sense of ownership and strong bias for execution. You will have the opportunity to own and drive the vision, strategy and product roadmap for multiple customer engagements with a responsibility for partner and customer impact, developer experience, adoption strategy to support the 0 to 1 phase of growth for the M365 Copilot platform in the Enterprise. The ideal candidate for this role is comfortable dealing with the ambiguity that comes with seeing partnerships across two organizations, is able to take both a business- and user- focused approach to defining goals, driving executive alignment, defining a product roadmap and engagement timelines before leading with a technical mindset to work both with internal M365 Copilot platform feature crews and with external customer stakeholders and developers building on our platform. We operate in an extremely fast-paced environment with rapid exploration, iteration and execution, as we continue to develop M365 Copilot extensibility platform to fundamentally transform how people and companies work using the power of generative AI. Your colleagues will be among the best in the industry and they share an intense passion for customer and partner success. Even while working hard, we have a great sense of humor and love to infuse that personality into our product. Since this is a partner/customer-facing role, travel from time to time within and outside the base location, is to be expected. We believe that we are rewiring productivity for the next 30 years! If you love taking on challenges and delivering nonlinear impact in a fast paced environment, we want to speak with you! Qualifications Required Qualifications: Bachelor's Degree AND 5+ years experience in product/service/project/program management or software development OR equivalent experience Previous experience with proven success in working on commercial customer facing engagements or/and product partnerships Previous business development and/or GTM-facing PM experience beneficial Strong executive presence and ability to think analytically and creatively on your feet in case of customer escalations and objection handling The ability to wear many hats and speak many language – from business to product to design to technical – learn quickly and change direction when needed The ability to think creatively and critically about product features and user scenarios in the enterprise space Demonstrated ability of very strong product thinking and a growth mindset Demonstrated ability to evaluate, critique, and recommend improvements on software user experiences and interface design Strong project management, growth hacking, leadership and cross-group collaboration skills Innate curiosity and ability to self-start in an ambiguous, highly autonomous and rapidly-changing startup environment Experience presenting to senior product/IT management, technical product/IT staff and end users; able to pivot quickly and adapt messaging to suit a range of audience technical levels and requirements Excellent written and verbal communication/presentation skills through all levels of the organization, technical and non-technical Good problem-solving skills and ability to think strategically on the feet Ability to hold technical discussions, go deep in technical areas, when required with support of platform architect and internal developer support programs. Preferred Qualifications: Recent experience driving generative AI-based solutions (RAG, GPT, LLM) and general awareness of the rapidly-evolving AI, especially generative AI landscape Hands-on experience or solid familiarity with the Microsoft technology stack is preferred (M365 Copilot extensions, Azure OpenAI, Graph Connectors, Microsoft Teams extensibility platform, etc.). #DPG #Copilot #M365Copilot #CopilotExtensibility #CopilotPlatform #CopilotExtensions #CopilotAgents #EnterpriseAI Responsibilities Work with our most strategic customers across C-suite, architects and developers from Enterprise Markets to help them envision, build and deploy AI agents Act as a credible point of contact for customers by providing consistent and relevant product guidance on AI Agents tech strategy, M365 Copilot platform, Identify potential customer scenarios, engagement opportunities to help drive mindshare and usage of M365 Copilot Platform. Explore the customer problem space and key requirements, pitch the potential of generative AI to transform business processes, lead envisioning and UX through with developers to build, ship and adopt Copilot-extending solutions into production to drive usage Drive key product insights and customer plus developer ecosystem signals coming straight from the market to shape the future of the M365 Copilot and our AI extensibility stack inside Microsoft Copilot app, Teams, Outlook, Word, PowerPoint, Excel, Microsoft365.com and other host products Get exposure to 100s of diverse scenarios working alongside customers & partners using M365 Copilot (Microsoft's biggest bet since 'a PC on every desk') - basically never get bored since no two solutions are alike! Bring voice of developer and voice of customer back to the platform feature crew and help drive backlog prioritization, envisioning and spec’ing of new, innovative extensibility features, informed by market feedback Collaborate extensively with our global team of customer experience program managers to share best practices, learnings and bring the same back to in region customer engagements. Serve as an expert on M365 Copilot platform/Microsoft Teams AI Platform capabilities; collaborate closely with peers, external partners, and customers to train, advise, and guide on technical capabilities, solution design, and platform strategy Develop and drive depth and scale engagement programs to strengthen the ecosystem in-market in close partnership with sales and customer success teams in region. Work with strategic customers to drive adoption and understand feedback ISV built Copilot Agents and Connectors can further invest into enhancing the value and user experience Unblock adoption, deployment and engagement of M365 Copilot extensibility platform and the Copilot Agents for strategic customers and help them realize business value or ROI Ensuring success for the developer and customer at each stage of the funnel – both selectively and at scale Research, contextualize and evangelize frontier solutions, technology trends and opportunities to drive longer-term investments and product shifts Cover multiple regions in Eastern Hemisphere and work with peer product teams in the Americas and Europe (occasional flexibility around work schedules is expected) Embody our culture and values Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.  Industry leading healthcare  Educational resources  Discounts on products and services  Savings and investments  Maternity and paternity leave  Generous time away  Giving programs  Opportunities to network and connect Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Project Role : Data Platform Engineer Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Snowflake Data Warehouse Good to have skills : NA Minimum 7.5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As a Data Platform Engineer, you will assist with the data platform blueprint and design, encompassing the relevant data platform components. Your typical day will involve collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models, while also engaging in discussions to refine and enhance the overall data architecture. You will be involved in various stages of the data platform lifecycle, ensuring that all components work harmoniously to support the organization's data needs and objectives. Roles & Responsibilities: a 9+ of experience in Database & Data warehousing with at least 4+ years on Snowflake b Played a key role in data related discussions with teams and clients to understand business problems and solutioning requirements c Liaise with clients on business/ technology/ data transformation programs; orchestrate the implementation of planned initiatives and realization of business outcomes d Spearhead team to translate business goals/ challenges into practical data transformation and technology roadmaps and data architecture designs e Strong experience in designing, architecting and managing(admin) Snowflake solutions and deploying data analytics solutions in Snowflake. Technical Expertise a Strong Experience working as a Snowflake on Cloud Data Architect with thorough knowledge of different services b Ability to architect solutions from OnPrem to cloud and create end to end data pipelines c good process knowledge in one or more of the following areas: Finance, Healthcare, Customer Experience d Experience in working on Client Proposals (RFP's), Estimation, POCs, POVs on new Snowflake features e Ability to suggest innovative solutions based on new technologies and latest trends f SnowPro core certification g Certified in any one cloud h Develop fine-tune, and integrate LLM models (OpenAI, Anthropic, Mistral, etc.) into enterprise workflows via Cortex AI. i Deploy AI Agents capable of reasoning, tool use, chaining, and task orchestration for knowledge retrieval and decision support. j Guide the creation and management of GenAI assets like prompts, embeddings, semantic indexes, agents, and custom bots. k Collaborate with data engineers, ML engineers, and leadership team to translate business use cases into GenAI-driven solutions. l Provide mentorship and technical leadership to a small team of engineers working on GenAI initiatives. M stay current with advancements in Snowflake, LLMs, and generative AI frameworks to continuously enhance solution capabilities. N Should have good understanding of SQL, Python. Also, the architectural concepts of Snowflake should be clear. Additional Information: a Any past Consulting experience Good to have c Good to have DBT, Python, Knowledge of Snowpark and any advanced certification Educational Qualification: a MBA Technology/Data related specializations/ MCA/ Advanced Degrees in STEM 15 years full time education Show more Show less

Project Role : Data Platform Engineer Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Snowflake Data Warehouse Good to have skills : NA Minimum 7.5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As a Data Platform Engineer, you will assist with the data platform blueprint and design, encompassing the relevant data platform components. Your typical day will involve collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models, while also engaging in discussions to refine and enhance the overall data architecture. You will be involved in various stages of the data platform lifecycle, ensuring that all components work harmoniously to support the organization's data needs and objectives. Roles & Responsibilities: a 9+ of experience in Database & Data warehousing with at least 4+ years on Snowflake b Played a key role in data related discussions with teams and clients to understand business problems and solutioning requirements c Liaise with clients on business/ technology/ data transformation programs; orchestrate the implementation of planned initiatives and realization of business outcomes d Spearhead team to translate business goals/ challenges into practical data transformation and technology roadmaps and data architecture designs e Strong experience in designing, architecting and managing(admin) Snowflake solutions and deploying data analytics solutions in Snowflake. Technical Expertise a Strong Experience working as a Snowflake on Cloud Data Architect with thorough knowledge of different services b Ability to architect solutions from OnPrem to cloud and create end to end data pipelines c good process knowledge in one or more of the following areas: Finance, Healthcare, Customer Experience d Experience in working on Client Proposals (RFP's), Estimation, POCs, POVs on new Snowflake features e Ability to suggest innovative solutions based on new technologies and latest trends f SnowPro core certification g Certified in any one cloud h Develop fine-tune, and integrate LLM models (OpenAI, Anthropic, Mistral, etc.) into enterprise workflows via Cortex AI. i Deploy AI Agents capable of reasoning, tool use, chaining, and task orchestration for knowledge retrieval and decision support. j Guide the creation and management of GenAI assets like prompts, embeddings, semantic indexes, agents, and custom bots. k Collaborate with data engineers, ML engineers, and leadership team to translate business use cases into GenAI-driven solutions. l Provide mentorship and technical leadership to a small team of engineers working on GenAI initiatives. M stay current with advancements in Snowflake, LLMs, and generative AI frameworks to continuously enhance solution capabilities. N Should have good understanding of SQL, Python. Also, the architectural concepts of Snowflake should be clear. Educational Qualification: a MBA Technology/Data related specializations/ MCA/ Advanced Degrees in STEM Degrees in STEM 15 years full time education Show more Show less

Project Role : Data Platform Engineer Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Snowflake Data Warehouse Good to have skills : NA Minimum 7.5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As a Data Platform Engineer, you will assist with the data platform blueprint and design, encompassing the relevant data platform components. Your typical day will involve collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models, while also engaging in discussions to refine and enhance the overall data architecture. You will be involved in various stages of the data platform lifecycle, ensuring that all components work harmoniously to support the organization's data needs and objectives. Roles & Responsibilities: a 9+ of experience in Database & Data warehousing with at least 4+ years on Snowflake b Played a key role in data related discussions with teams and clients to understand business problems and solutioning requirements c Liaise with clients on business/ technology/ data transformation programs; orchestrate the implementation of planned initiatives and realization of business outcomes d Spearhead team to translate business goals/ challenges into practical data transformation and technology roadmaps and data architecture designs e Strong experience in designing, architecting and managing(admin) Snowflake solutions and deploying data analytics solutions in Snowflake. Technical Expertise a Strong Experience working as a Snowflake on Cloud Data Architect with thorough knowledge of different services b Ability to architect solutions from OnPrem to cloud and create end to end data pipelines c good process knowledge in one or more of the following areas: Finance, Healthcare, Customer Experience d Experience in working on Client Proposals (RFP's), Estimation, POCs, POVs on new Snowflake features e Ability to suggest innovative solutions based on new technologies and latest trends f SnowPro core certification g Certified in any one cloud h Develop fine-tune, and integrate LLM models (OpenAI, Anthropic, Mistral, etc.) into enterprise workflows via Cortex AI. i Deploy AI Agents capable of reasoning, tool use, chaining, and task orchestration for knowledge retrieval and decision support. j Guide the creation and management of GenAI assets like prompts, embeddings, semantic indexes, agents, and custom bots. k Collaborate with data engineers, ML engineers, and leadership team to translate business use cases into GenAI-driven solutions. l Provide mentorship and technical leadership to a small team of engineers working on GenAI initiatives. M stay current with advancements in Snowflake, LLMs, and generative AI frameworks to continuously enhance solution capabilities. N Should have good understanding of SQL, Python. Also, the architectural concepts of Snowflake should be clear. Educational Qualification: a MBA Technology/Data related specializations/ MCA/ Advanced Degrees in STEM 15 years full time education Show more Show less

Way of working - Work from office (5 days a week) Job Title : Software Development Engineer II Location : Bangalore Tenure : 3- 5 years Position Overview:  As an SDE II at Swiggy, you will play a pivotal role in designing and architecting intelligent systems with a strong emphasis on Agentic AI and multi-agent frameworks. You will contribute to the development of cutting-edge Conversational AI platforms using technologies like Langchain, Langraph, and LLMs from providers such as OpenAI, Anthropic (Claude), Bedrock, Azure, and others. Your responsibilities include owning end-to-end architecture for your team’s systems, co-driving the team’s technical vision, and transforming product requirements into scalable, production-grade AI solutions. Collaboration with cross-functional product and business teams will be essential to translate product features into intelligent, agent-driven designs and drive the delivery of high-impact applications. What qualities are we looking for? B Tech/M Tech in Computer Science or equivalent from a reputed college with minimum 3+ years of Experience in Product Development Company Experience working with AI agents, including multi-agent architectures. Familiarity with agentic AI systems and conversational AI platforms. Practical knowledge of LLMs (Large Language Models), including integration with providers like OpenAI, Anthropic (Claude), Bedrock, Falsh, and Azure OpenAI. Strong design skills involving data modeling and low level class design Good knowledge of object oriented programming and design pa erns Proficiency in at least one programming language - Python, Java, Golang Follow industry coding standards and responsible for writing maintainable/scalable/efficient code to solve business problems Hands-on experience of working with Databases and Linux/Unix platform Hands-on experience with Langchain or LangGraph for building AI-driven workflows and orchestration. Strong technical aptitude and good knowledge of CS fundamentals What will you get to do here? Coming up with best practices to help the team achieve their technical tasks and continually thrive in improving the technology of the product/team. Driving the adoption of best practices & regular Participation in code reviews, design reviews, architecture discussions. Experiment with new & relevant technologies and tools, and drive adoption while measuring yourself on the impact you can create Implementation of long term technology vision for your team. Creating architectures & designs for new solutions around existing/new areas Decide technology & tool choices for your team & be responsible for them. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, disability status, or any other characteristic protected by the law. Show more Show less

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. What Primary Responsibilities: 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. Show more Show less

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. What Primary Responsibilities: 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) 4+ 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. Show more Show less