VectorShift is a No-Code Generative AI Platform. As an Backend Engineer you will build new and work on existing VectorShift’s product lines (e.g., improving workflow run efficiency and scalability, integrate new developments in AI into our platform, manage our database infrastructure). This will be a challenging and dynamic role, and you will be working at the forefront of distributed systems infrastructure and AI. Along with building product lines, you can also expect to: Build integrations of the VectorShift platform with 3rd party applications Talk with customers to understanding core pain points and iterating with them on feature requests. Contribute to customer support, especially for the products you build! Stay up to date with the latest developments in AI to integrate new capabilities into our platform. Responsibilities Work directly with the founders to conceptualize and implement sub-products and features, end to end. Lead technical architecture decisions, ensuring the platform is scalable and maintainable. Drive forward performance optimization. Establish foundational technical practices that will guide future team members. Requirements Degree in a technical discipline, preferably computer science. Experience with Python/ FastAPI. Understanding of performance optimization best practices. Strong communication skills and ability to work in high paced environments. Excellent problem solving skills and proven ability to overcome challenges. Nice To Have Experience in early-stage startup environments. Experience with no/low-code platforms. Experience in AI, machine learning, and building RAG workflows. Show more Show less

Primary Skills Bachelor's or Master's degree in Computer Science, Information Technology, or a related field. 5-7 years of experience as a Python developer, with a focus on Product development (BE+FE development). Hands on experience in Angular Js. Proven experience in designing and deploying scalable applications and microservices. App Integration experience is prefferd. Python- FastAPI (Flask/Django) API Development (RESTful Services) Cloud Platforms - Google Cloud Platform (GCP)prefferd. Familiarity with database management systems- PostgreSQL, MySQL, MongoDB and ORMs (e.g.,SQLAlchemy, Django ORM). Knowledge of CI/CD pipelines - Jenkins, GitLab CI, CircleCI Frontend Development - JavaScript, Angular Code Versioning - Git Testing - Unit & Integration Testing Strong understanding of security principles, authentication (OAuth2, JWT), and data protection. Secondary Skills Monitoring Tools - Prometheus, Grafana, Datadog Security and Compliance Standards - GDPR, PCI, Soc2 DevOps Collaboration UX/UI Collaboration for Angular components Experience with asynchronous programming (e.g., asyncio, Aiohttp). Experience with big data technologies like Spark or Hadoop. Experience with machine learning libraries (e.g., TensorFlow, PyTorch) is a plus (ref:hirist.tech) Show more Show less

About Okulo Aerospace Careers 2025 Okulo Aerospace has a mission to provide unmatched best-in-class unmanned aerial vehicle platforms for addressing the needs of the global enterprise, industrial and defense customers. Combining renewable energy and precision engineering, we are currently developing solar-electric hybrid aerial platforms that will revolutionize aerial data acquisition. We envision a world where drones can fly continuously without having to land at all and as a first step towards realizing our vision, we are providing aerial monitoring and surveillance services for clients with widespread industrial assets. Candidates Also Search: Software Engineer Jobs Okulo Aerospace Careers 2025 Details Company Name Okulo Aerospace Job Role Software Development Engineer – I (SDE-1) Job Type Full Time Job Location Bengaluru Education BE/ B.Tech Career Level 1 – 3 Years Salary Not Mentioned Company Website www.okuloaerospace.com Job Description For Okulo Aerospace Careers 2025 Candidates Also Search: Fresher Jobs Okulo Aerospace is looking for a versatile full-stack engineer who can build fast, take ownership, and grow with the company. You’ll work closely to design, develop, and scale our web applications using React (Frontend), FastAPI (Backend), Docker, and REST APIs . This is a high-impact role where you’ll help shape the architecture, culture, and future of our product . You’ll be the second software engineer. Responsibilities Build end-to-end features – from UI (React) to backend (FastAPI) to deployment (Docker). Help define best practices in code, architecture, and DevOps as we scale. Work directly in product decisions. Optimize performance, fix bugs, and ensure scalable, maintainable code. Own what you build – this isn’t a “follow orders” role; you’ll have real responsibility. Candidates Also Search: BE/ B.Tech Jobs Requirements Frontend: Strong in NEXT.js / React.js, JavaScript/TypeScript, Tailwind CSS. Backend: Experience with FastAPI (or Flask/Django) & Python. APIs: Comfortable designing & consuming RESTful APIs. DevOps: Hands-on with Docker (Kubernetes is a bonus). Database: NoSQL (MongoDB). Git/GitHub: Clean, organized version control. Problem-Solving: Ability to debug, optimize, and learn quickly. Preferred: WebSockets, AWS basics, and experience with testing (Jest, PyTest). Okulo Aerospace Careers 2025 Application Process DOUBLE CLICK TO APPLY ONLINE ! We wish you the best of luck in your Okulo Aerospace Careers 2025 . May your talents shine, and may you find the perfect opportunity that not only meets your professional goals but also brings joy to your everyday work. Show more Show less

Key Responsibilities Full Stack Development : Lead the design, development, and implementation of complex web applications across the full stack, utilizing Python for the backend and ReactJS for the frontend. Real-time Application Development : Architect and build high-performance, real-time applications leveraging WebSockets (e.g., chat applications, live trading dashboards, real-time data feeds). Backend Development : Develop robust and efficient backend services using Python frameworks like Django or FastAPI, including API design (RESTful), database interactions, and business logic implementation. Frontend Development : Build responsive, interactive, and user-friendly interfaces using ReactJS, effectively utilizing hooks, Context API, and state management tools like Redux. Database Management : Design, optimize, and interact with relational and/or NoSQL databases such as PostgreSQL, MySQL, or MongoDB. Code Quality & Best Practices : Ensure code quality, maintainability, scalability, and security through rigorous code reviews, adherence to best practices, and implementation of design patterns. Deployment & Operations : Collaborate with DevOps teams on CI/CD pipelines, Docker, and containerized deployment strategies. Problem Solving : Proactively identify and solve complex technical challenges, ensuring the stability and performance of applications. Collaboration : Work closely with product managers, UI/UX designers, and other engineers to translate business requirements into technical solutions and deliver high-quality products. Required Skills & Qualifications Experience : 10+ years of extensive experience in software development with a strong focus on full stack technologies. Backend Proficiency : Strong proficiency in Python and extensive experience with frameworks such as Django or FastAPI. Frontend Expertise : Extensive hands-on experience with ReactJS, including deep understanding and practical application of hooks, Context API, and state management tools like Redux. Real-time Applications : Proven experience in building WebSocket-based real-time applications (e.g., chat apps, trading dashboards, live feeds). Web Fundamentals : Strong understanding of core front-end technologies including HTML5, CSS3, JavaScript, and modern UI libraries. Database Experience : Experience with databases such as PostgreSQL, MySQL, or MongoDB. Cloud Platforms (Plus) : Knowledge of cloud platforms like AWS, Azure, or GCP is a significant plus. DevOps Familiarity : Familiarity with CI/CD pipelines, Docker, and containerized deployment. Problem-Solving : Excellent problem-solving skills and a proactive mindset. Communication : Strong communication and collaboration abilities. (ref:hirist.tech) Show more Show less

Position Title: Head of R&D AI Engineering About The Job At Sanofi, we’re committed to providing the next-gen healthcare that patients and customers need. It’s about harnessing data insights and leveraging AI responsibly to search deeper and solve sooner than ever before. Join our R&D Data & AI Products and Platforms Team as Head of R&D AI Engineering and you can help make it happen. What You Will Be Doing Sanofi has recently embarked into a vast and ambitious digital transformation program. A cornerstone of this roadmap is the acceleration of its data transformation and of the adoption of artificial intelligence (AI) and machine learning (ML) solutions, to accelerate R&D, manufacturing and commercial performance and bring better drugs and vaccines to patients faster, to improve health and save lives. The R&D Data & AI Products and Platforms Team is a key team within R&D Digital, focused on developing and delivering Data and AI products for R&D use cases. This team plays a critical role in pursuing broader democratization of data across R&D and providing the foundation to scale AI/ML, advanced analytics, and operational analytics capabilities. As a Head of R&D AI Engineering , you will be a leader on a dynamic team committed to driving strategic and operational digital priorities and initiatives in R&D. You will work with R&D-based Product and Product Line Owners and manage engineering teams within an agile environment to drive the design, development, and deployment of robust, scalable, and performance-based AI/ML endpoints and workflows. Our vision for digital, data analytics and AI Join us on our journey in enabling Sanofi’s Digital Transformation through becoming an AI first organization. This means: AI Factory - Versatile Teams Operating in Cross Functional Pods: Utilizing digital and data resources to develop AI products, bringing data management, AI and product development skills to products, programs and projects to create an agile, fulfilling and meaningful work environment. Leading Edge Tech Stack: Experience build products that will be deployed globally on a leading-edge tech stack. World Class Mentorship and Training: Working with renown leaders and academics in machine learning to further develop your skillsets. We are an innovative global healthcare company with one purpose: to chase the miracles of science to improve people’s lives. We’re also a company where you can flourish and grow your career, with countless opportunities to explore, make connections with people, and stretch the limits of what you thought was possible. Ready to get started? Main Responsibilities AI Product Engineering (workflows, API endpoints, databases): Develop and execute a vision & strategy for AI/ML product development Lead AI product development within R&D in alignment with R&D data strategy, business goals, and objectives, making AI models accessible and usable by end users through the deployment of AI/ML models and exposure through APIs/endpoints Use best practices to implement bias protection and foster fairness and transparency within AI/ML technologies; consult with Responsible AI stakeholders to ensure compliance, ethical, and responsible use Collaborate closely with AI/ML model development team to coordinate on development handover activities Manage project timelines, resource allocation, and priorities to ensure timely delivery of AI/ML products engineering activities Innovation & Team Leadership Build and lead a high-performing team engineers, providing oversight, mentorship, training, resources, and best practices to empower the team to deliver engineering with excellence Design, implement, and continuously improve a model for AI/ML product delivery within the Data and AI Product Delivery Team Provide specific guidance and escalation support for any challenges faced by AI Engineers during the delivery of AI products Communicate and advise against AI/ML strategies, potential, limitations, progress, and results to stakeholders and leadership to ensure alignment across R&D business Cross-Team Collaboration Collaborate and coordinate with Platform and Data Engineering Teams to maintain data pipelines and consistent ways of working across teams Partner with Enterprise Digital and oversee AI/ML data protection, governance, and compliance About You Key Functional Requirements & Qualifications: Master’s in computer science, engineering, AI/ML, or a related field; 8-10 years of experience in software engineering, data science, AI, or analytics and 6+ years of experience in AI/ML engineering or related field Proven track record leading successful AI/ML data product projects across design, development, scaling, and maintenance Understanding of R&D business and data environment strongly preferred Strong communication between technical and non-technical stakeholders and collaborators Demonstrated team leadership, mentorship, and management skill Key Technical Requirements & Qualifications Strong expertise in machine learning, deep learning, natural language processing, and other related ML/AI technologies Expert experience with AI/ML frameworks and tools and in programming languages such as Python, R, Java Expert experience with the design and development of APIs/Endpoints (e.g., Flask, Django, FastAPI) Expertise in cloud platforms and software involved in the deployment and scaling of AI/ML models Expertise with data analytics and statistical software (incl. SQL, Python, Java, Excel, AWS, Snowflake, Informatica) Why Choose Us? Bring the miracles of science to life alongside a supportive, future-focused team Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs Sanofi careers - it all starts with you! Pursue Progress Discover Extraordinary Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people. Watch our ALL IN video and check out our Diversity, Equity and Inclusion actions at sanofi.com! Sanofi is an equal opportunity employer committed to diversity and inclusion. Our goal is to attract, develop and retain highly talented employees from diverse backgrounds, allowing us to benefit from a wide variety of experiences and perspectives. We welcome and encourage applications from all qualified applicants. Accommodations for persons with disabilities required during the recruitment process are available upon request. null Show more Show less

Job Title: AI/ML Developer Duration: 6 months (Expected to be longer) Work Location & Requirement: Chennai, onsite at least 3-4 days a week Position Summary: We are seeking a highly skilled and motivated Development Lead with deep expertise in ReactJS, Python, and AI/ML DevOps, along with working familiarity in AWS cloud services. This is a hands-on individual contributor role focused on developing and deploying a full-stack AI/ML-powered web application. The ideal candidate should be passionate about building intelligent, user-centric applications and capable of owning the end-to-end development process. Position Description: Design and develop intuitive and responsive web interfaces using ReactJS. Build scalable backend services and RESTful APIs using Python frameworks (e.g., Flask, FastAPI, or Django). Integrate AI/ML models into the application pipeline and support inferencing, monitoring, and retraining flows. Automate development workflows and model deployments using DevOps best practices and tools (Docker, CI/CD, etc.). Deploy applications and ML services on AWS infrastructure, leveraging services such as EC2, S3, Lambda, SageMaker, and EKS. Ensure performance, security, and reliability of the application through testing, logging, and monitoring. Collaborate with data scientists, designers, and product stakeholders to refine and implement AI-powered features. Take ownership of application architecture, development lifecycle, and release management. Minimum Requirements: Bachelor’s or Master’s degree in computer science, Engineering, or a related field. 8+ years of hands-on experience in software development. Strong expertise in ReactJS, and NodeJS based web application development. Proficient in Python for backend development and AI/ML model integration. Experience with at least one AI/ML framework (LLMs). Solid understanding of DevOps concepts for ML workflows – containerization, CI/CD, testing, and monitoring. Experience deploying and operating applications in AWS cloud environments. Self-driven, with excellent problem-solving skills and attention to detail. Strong communication skills and ability to work independently in an agile, fast-paced environment. Show more Show less

Location : Remote | Duration : 2 Months | Stipend : ₹15,000 – ₹30,000/month How to Apply? Application form: https://rebrand.ly/mansio-fullstack Job description: https://mansio-ai.notion.site/ About Mansio.ai Mansio is on a mission to redefine the rental housing experience for Gen Z and millennial renters, starting with a curated platform to discover flats and compatible flatmates with trust, ease, and transparency. As a founding team member, you’ll work directly with the CTO to build the core systems that power the future of renting homes in India. We're now expanding our core tech team and looking for highly motivated Full Stack Developer Intern starting July 2025. About the Team We’re a team of IIT Kharagpur alumni with strong backgrounds in AI engineering, business strategy, and operations, with over 8 years of combined experience at companies like Accenture Japan, AB InBev, and Citigroup. About the Work As a Full Stack Developer Intern, you’ll work directly with the CTO and get your hands dirty across the entire stack: Develop swipe-based, social-style property feeds and chat UIs using React.js and Tailwind Integrate voice-led onboarding and AI-powered flows for seamless user interactions Build and maintain robust APIs for listings, user auth, and real-time notifications using FastAPI/Django Develop AI-driven features like a RAG-based property discovery chatbot Power real-time interactions (swipes, chats, voice) with Redis and WebSockets What are we looking for? Strong problem-solving mindset and curiosity to build real systems Experience with React.js and Python (FastAPI) Exposure to REST APIs, Redis, Git, and modern deployment workflows Bonus: familiarity with PostgreSQL, AWS, or voice/chat AI tools Why Join Us? Ownership : Work directly on product-critical features with real users Learning : Dive deep into AI, scalable systems, and performance-heavy builds Culture : Remote-first, async-friendly, no corporate fluff We’re breaking, building, and shipping fast. If you’re excited to be part of something exciting, challenging, and impactful, we’d love to hear from you! Show more Show less

Job Title: Python Developer Role Overview: We are seeking a motivated Python Developer to join our dynamic team. The ideal candidate will have 2-3 years of experience in developing scalable applications and be proficient in Python. You will work on creating, enhancing, and maintaining innovative software solutions while collaborating with cross-functional teams to deliver exceptional results Requirements Key Responsibilities: • Design and develop scalable backend services and RESTful APIs using Flask, FastAPI, or Django (DRF). • Collaborate with product managers and other developers to define software requirements and mentor Jr developers. • Develop robust integration with SQL (PostgreSQL preferred) and NoSQL databases like MongoDB. • Optimize performance and scalability of applications handling large volumes of data. • Write clean, modular, and well-documented code following best practices. • Contribute to architectural decisions and peer code reviews. • Apply best practices in containerization (Docker), and CI/CD pipelines (preferred but not mandatory). • Contribute to projects in Generative AI (GenAI) or Data Engineering depending on team needs and your expertise. Required Skills & Qualifications: • 2–3 years of professional experience in Python backend development. • Strong understanding of Flask; experience with FastAPI, Django, or DRF is a plus. • Solid experience working with PostgreSQL and MongoDB. • Familiarity with REST API development and JSON-based communication. • Experience in building and optimizing scalable web services or microservices. • Experience with redis and celery. • Hands-on experience with version control systems such as Git. • Exposure to GenAI (e.g., llama, OpenAI, HuggingFace, LangChain, Agentic AI etc) or Data Engineering (e.g., ETL pipelines, pandas, numpy) is a strong advantage. Good to Have: • Experience working with Docker and cloud platforms (AWS/GCP/Azure). • Familiarity with tools like Pyspark • Familiarity with ML model serving. Benefits Benefits Why Join Us? Work on cutting-edge technologies and impactful projects. Opportunities for career growth and development. Collaborative and inclusive work environment. Competitive salary and benefits package. Show more Show less

Job Title: Python, AWS & Generative AI Developer Experience: 3–5 years Location: Bengaluru, Hyderabad, Chennai, Mumbai, Pune, Kolkata, Gurugram Employment Type: Full-Time Company Website: www.cirruslabs.io About CirrusLabs CirrusLabs is a global digital transformation and IT solutions provider that empowers businesses to achieve agility, innovation, and scalable growth. We build solutions that align with real-world business needs while championing a strong culture of engineering excellence and team ownership. Role Overview We are looking for a motivated and skilled Python, AWS & GenAI Developer to join our agile product development team. The ideal candidate is passionate about backend development, cloud-native deployment, and building next-gen AI-driven applications. You will collaborate with cross-functional teams to build scalable APIs, integrate with modern databases, and contribute to Generative AI-powered solutions. Key Responsibilities Agile Development Participate in Agile ceremonies, sprint planning, and iterative development cycles. Refine user stories into technical tasks and deliver working solutions every sprint. Backend & API Development Design and develop RESTful APIs using Python (FastAPI/Flask/Django). Implement integration logic with external services and data pipelines. Database Development Develop and optimize data models using PostgreSQL and Vector Databases (e.g., Pinecone, Weaviate, FAISS). Manage schema changes, migrations, and efficient query design. AI & GenAI Integration Integrate Generative AI models (e.g., OpenAI, HuggingFace) into applications where applicable. Work with embedding models and LLMs to support AI-driven use cases. Deployment & DevOps Package applications into Docker containers and deploy them to Kubernetes clusters. Implement CI/CD practices to support automated testing and delivery. Testing & Code Quality Create comprehensive unit and integration tests across backend layers. Follow clean code principles and participate in peer code reviews. Frontend Collaboration (Optional) Contribute to frontend development using Angular or React, especially for micro-frontend architecture. Work closely with frontend developers to define and support REST API consumption. Team Culture & Collaboration Foster a culture of autonomy, accountability, and knowledge-sharing. Actively engage with the Product Owner to align features with user needs. Feature Demonstration Participate in sprint reviews to demo implemented features and gather feedback for improvements. Required Skills Strong experience in Python development with emphasis on REST APIs. Solid understanding of PostgreSQL and at least one vector database. Familiarity with Generative AI/LLM integration (OpenAI APIs, embeddings, etc.). Experience deploying applications using Docker and Kubernetes. Hands-on experience in agile software development. Knowledge of writing unit tests and using tools like pytest or unittest. Preferred Skills Exposure to frontend frameworks like Angular or React. Understanding of micro-frontend and component-based architecture. Experience with cloud services such as AWS Lambda, S3, SageMaker, ECS/EKS. Familiarity with CI/CD tools like GitHub Actions, Jenkins, or GitLab CI. Show more Show less

Job Title: AI/ML + Backend Developer (SEO Automation & Technical Implementation) Location: Remote (APAC preferred) | Full-Time or Contract 🔹About the Role We’re looking for a 3-7 years experienced technical powerhouse who blends backend engineering, AI/ML experience, and hands-on SEO implementation skills. This hybrid role will support our mission to scale intelligent SEO operations and automate key parts of our publishing workflows. You’ll build custom tools and systems that integrate machine learning, backend development, and SEO performance logic — from programmatic content generation and internal linking engines to technical audits, schema injection, and Google Search Console automations. 🔹What You'll Be Doing 🔧 Backend & Automation Development Build internal tools and APIs using Python or Node.js Automate content workflows (meta/gen content, redirects, schema, etc.) Integrate third-party APIs (GSC, Ahrefs, OpenAI, Gemini, Google Sheets) 🧠 AI/ML Workflows Apply NLP models for entity recognition, summarization, topic clustering Deploy and manage ML inference pipelines Work with LLMs to scale content enhancements (FAQs, headlines, refresh logic) ⚙️ SEO Automation & Technical Implementation Run and implement technical SEO audits (crawl issues, sitemaps, indexing, Core Web Vitals) Automate internal linking, canonical tags, redirects, structured data Use tools like Screaming Frog CLI, GSC API, and Cloudflare for scalable SEO execution 📈 Performance Monitoring Set up dashboards to monitor SEO KPIs and anomaly detection Build alerting systems for performance drops, crawl issues, or deindexed content 🔹 Key Skills Required Languages & Tools: Python (FastAPI, Pandas, Scrapy, etc.) and/or Node.js Databases (PostgreSQL, MongoDB, Redis) Docker, GitHub Actions, Cloud (GCP/AWS preferred) GSC API, Screaming Frog CLI, Google Sheets API OpenAI/Gemini API, LangChain or similar frameworks SEO Knowledge: Strong understanding of on-page and technical SEO Experience with programmatic content, schema markup, and CWV improvements Familiar with common issues like crawl depth, duplication, orphan pages, and indexability 🔹 Nice to Have Experience with content/media/publishing websites Familiarity with CI/CD and working in async product teams Exposure to headless CMS or WordPress API integrations Past experience automating large-scale content or SEO systems 🔹 What You'll Get The chance to work on large-scale content automation and modern SEO problems High autonomy, technical ownership, and visibility in decision-making Flexible remote work and performance-based incentives Direct collaboration with SEO strategy and editorial stakeholders . Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Job Description: Senior AI Engineer (Tech Lead) Role Overview: We are seeking a highly skilled and experienced Senior AI Engineers with a minimum of 4 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role. Responsibilities: Your technical responsibilities: Contribute to the design and implementation of state-of-the-art AI solutions. Leading a team of 4-6 developers Assist in the development and implementation of AI models and systems, leveraging techniques such as Large Language Models (LLMs) and generative AI. Collaborate with stakeholders to identify business opportunities and define AI project goals. Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges. Utilize generative AI techniques, such as LLMs, Agentic Framework to develop innovative solutions for enterprise industry use cases. Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities. Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment. Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs. Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs. Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly. Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency. Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases. Ensure compliance with data privacy, security, and ethical considerations in AI applications. Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications. Requirements: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Minimum 4 years of experience in Python, Data Science, Machine Learning, OCR and document intelligence Experience in leading a team of 4-6 developers Demonstrated ability to conceptualize technical solutions, apply accurate estimation techniques, and effectively engage with customer stakeholders In-depth knowledge of machine learning, deep learning, and generative AI techniques. Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch. Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models. Familiarity with computer vision techniques for image recognition, object detection, or image generation. Strong knowledge of Python frameworks such as Django, Flask, or FastAPI. Experience with RESTful API design and development. Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment. Expertise in data engineering, including data curation, cleaning, and preprocessing. Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems. Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models. Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions. Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels. Understanding of data privacy, security, and ethical considerations in AI applications. Track record of driving innovation and staying updated with the latest AI research and advancements. Good to Have Skills: Understanding of agentic AI concepts and frameworks Proficiency in designing or interacting with agent-based AI architectures Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems. Utilize optimization tools and techniques, including MIP (Mixed Integer Programming). Drive DevOps and MLOps practices, covering continuous integration, deployment, and monitoring of AI models. Implement CI/CD pipelines for streamlined model deployment and scaling processes. Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines. Apply infrastructure as code (IaC) principles, employing tools like Terraform or CloudFormation. Implement monitoring and logging tools to ensure AI model performance and reliability. Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment. Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Job Description: Senior AI Engineer (Tech Lead) Role Overview: We are seeking a highly skilled and experienced Senior AI Engineers with a minimum of 4 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role. Responsibilities: Your technical responsibilities: Contribute to the design and implementation of state-of-the-art AI solutions. Leading a team of 4-6 developers Assist in the development and implementation of AI models and systems, leveraging techniques such as Large Language Models (LLMs) and generative AI. Collaborate with stakeholders to identify business opportunities and define AI project goals. Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges. Utilize generative AI techniques, such as LLMs, Agentic Framework to develop innovative solutions for enterprise industry use cases. Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities. Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment. Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs. Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs. Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly. Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency. Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases. Ensure compliance with data privacy, security, and ethical considerations in AI applications. Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications. Requirements: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Minimum 4 years of experience in Python, Data Science, Machine Learning, OCR and document intelligence Experience in leading a team of 4-6 developers Demonstrated ability to conceptualize technical solutions, apply accurate estimation techniques, and effectively engage with customer stakeholders In-depth knowledge of machine learning, deep learning, and generative AI techniques. Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch. Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models. Familiarity with computer vision techniques for image recognition, object detection, or image generation. Strong knowledge of Python frameworks such as Django, Flask, or FastAPI. Experience with RESTful API design and development. Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment. Expertise in data engineering, including data curation, cleaning, and preprocessing. Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems. Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models. Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions. Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels. Understanding of data privacy, security, and ethical considerations in AI applications. Track record of driving innovation and staying updated with the latest AI research and advancements. Good to Have Skills: Understanding of agentic AI concepts and frameworks Proficiency in designing or interacting with agent-based AI architectures Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems. Utilize optimization tools and techniques, including MIP (Mixed Integer Programming). Drive DevOps and MLOps practices, covering continuous integration, deployment, and monitoring of AI models. Implement CI/CD pipelines for streamlined model deployment and scaling processes. Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines. Apply infrastructure as code (IaC) principles, employing tools like Terraform or CloudFormation. Implement monitoring and logging tools to ensure AI model performance and reliability. Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment. Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Job Description: Senior AI Engineer (Tech Lead) Role Overview: We are seeking a highly skilled and experienced Senior AI Engineers with a minimum of 4 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role. Responsibilities: Your technical responsibilities: Contribute to the design and implementation of state-of-the-art AI solutions. Leading a team of 4-6 developers Assist in the development and implementation of AI models and systems, leveraging techniques such as Large Language Models (LLMs) and generative AI. Collaborate with stakeholders to identify business opportunities and define AI project goals. Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges. Utilize generative AI techniques, such as LLMs, Agentic Framework to develop innovative solutions for enterprise industry use cases. Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities. Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment. Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs. Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs. Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly. Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency. Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases. Ensure compliance with data privacy, security, and ethical considerations in AI applications. Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications. Requirements: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Minimum 4 years of experience in Python, Data Science, Machine Learning, OCR and document intelligence Experience in leading a team of 4-6 developers Demonstrated ability to conceptualize technical solutions, apply accurate estimation techniques, and effectively engage with customer stakeholders In-depth knowledge of machine learning, deep learning, and generative AI techniques. Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch. Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models. Familiarity with computer vision techniques for image recognition, object detection, or image generation. Strong knowledge of Python frameworks such as Django, Flask, or FastAPI. Experience with RESTful API design and development. Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment. Expertise in data engineering, including data curation, cleaning, and preprocessing. Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems. Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models. Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions. Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels. Understanding of data privacy, security, and ethical considerations in AI applications. Track record of driving innovation and staying updated with the latest AI research and advancements. Good to Have Skills: Understanding of agentic AI concepts and frameworks Proficiency in designing or interacting with agent-based AI architectures Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems. Utilize optimization tools and techniques, including MIP (Mixed Integer Programming). Drive DevOps and MLOps practices, covering continuous integration, deployment, and monitoring of AI models. Implement CI/CD pipelines for streamlined model deployment and scaling processes. Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines. Apply infrastructure as code (IaC) principles, employing tools like Terraform or CloudFormation. Implement monitoring and logging tools to ensure AI model performance and reliability. Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment. Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

We are hiring for a fast growing edu tech startup. Get first-hand experience in scaling the features you build as the company grows rapidly As a Fullstack SDE1, you Get first hand experience of building applications and see them released quickly to the learners (within weeks) Get to take ownership of the features you build and work closely with the product team Work in a great culture that continuously empowers you to grow in your career Enjoy freedom to experiment & learn from mistakes (Fail Fast, Learn Faster) Build in a world-class developer environment by applying clean coding principles, code architecture, etc.  Responsibilities Design, implement, and ship user-centric features spanning frontend, backend, and database systems under guidance. Define and implement RESTful/GraphQL APIs and efficient, scalable database schemas. Build reusable, maintainable frontend components using modern state management practices. Develop backend services in Node.js or Python, adhering to clean-architecture principles. Write and maintain unit, integration, and end-to-end tests to ensure code quality and reliability. Containerize applications and configure CI/CD pipelines for automated builds and deployments. Enforce secure coding practices, accessibility standards (WCAG), and SEO fundamentals. Collaborate effectively with Product, Design, and engineering teams to understand and implement feature requirements.. Own feature delivery from planning through production, and mentor interns or junior developers. Qualifications & Skills 1+ years of experience building full-stack web applications. Proficiency in JavaScript (ES6+), TypeScript, HTML5, and CSS3 (Flexbox/Grid). Advanced experience with React (Hooks, Context, Router) or equivalent modern UI framework. Hands-on with state management patterns (Redux, MobX, or custom solutions). Strong backend skills in Node.js (Express/Fastify) or Python (Django/Flask/FastAPI). Expertise in designing REST and/or GraphQL APIs and integrating with backend services. Solid knowledge of MySQL/PostgreSQL and familiarity with NoSQL stores (Elasticsearch, Redis). Experience using build tools (Webpack, Vite), package managers (npm/Yarn), and Git workflows. Skilled in writing and maintaining tests with Jest, React Testing Library, Pytest, and Cypress. Familiar with Docker, CI / CD tools (GitHub Actions, Jenkins), and basic cloud deployments. Product-first thinker with strong problem-solving, debugging, and communication skills. Qualities we'd love to find in you: The attitude to always strive for the best outcomes and an enthusiasm to deliver high quality software Strong collaboration abilities and a flexible & friendly approach to working with teams Strong determination with a constant eye on solutions Creative ideas with problem solving mind-set Be open to receiving objective criticism and improving upon it Eagerness to learn and zeal to grow Strong communication skills is a huge plus Work Location : Hyderabad Show more Show less

Key Responsibilities: Develop and maintain robust web applications with a strong emphasis on both front-end and back-end development. Convert UI/UX designs and wireframes into high-quality, functional code, ensuring optimal performance, responsiveness, and scalability. Write clean, efficient, and reusable code using JavaScript/TypeScript and Python. Implement and manage user authentication and authorization across diverse systems, servers, and environments. Integrate multiple data sources and databases into unified systems while optimizing application speed and scalability. Collaborate closely with cross-functional teams to merge front-end components with server-side logic. Define technical and design specifications and communicate them clearly with stakeholders. Create and maintain thorough software documentation, prioritizing user data privacy and security. Participate in the full application development lifecycle — including coding, debugging, deploying updates, resolving bugs, and adding new features. Conduct unit testing to ensure the code is robust, user-friendly, and reliable under various conditions. Stay updated with the latest technologies and industry trends, and proactively incorporate them into development processes. Knowledge & Experience: Bachelor's degree in B.Tech, BCA, BE, or a related technical field. Minimum of 2 years of hands-on experience in full-stack web development. Proficiency in front-end technologies like HTML5, CSS3, JavaScript, TypeScript, and strong experience with React and component libraries. Solid back-end development experience, preferably using FastAPI, with strong knowledge of SQL and PostgreSQL. Thorough understanding of the full web development lifecycle — from design and implementation to deployment — along with cross-browser compatibility. Experience working with Google Cloud Platform services such as Cloud Run, Cloud Functions, and Firebase. Skilled in integrating RESTful APIs and third-party services. Proficient in version control using Git and GitHub. Deep understanding of responsive design, modern UI/UX principles, and web best practices. Strong problem-solving abilities, capable of working effectively under pressure and meeting tight deadlines. Excellent collaboration, communication, and leadership skills. Familiarity with scalable software architecture and a solid grasp of both product and mobile development lifecycles. Job Type: Full-time Pay: ₹1,000,000.00 - ₹1,200,000.00 per year Schedule: Day shift Ability to commute/relocate: Bangalore, Karnataka: Reliably commute or planning to relocate before starting work (Required) Application Question(s): Will you comfortable working with a startup ? How many years of experience do you have with Fast API? What is your annual salary expectations ? How many years of experience do you have with react? How many years of experience do you have with Python? Education: Bachelor's (Required) Experience: Full-stack development: 2 years (Required) Work Location: In person

HI Folks Please check the JD and share your updated resume to my email naresh@sapphiresoftwaresolutions.com and ping me on whatsapp (+91 970-529-6474) along with your resume Fullstack Developer Must have python and react experience (heavier python) Remote 1 year contract Immediate joiners only Must-Have Skills: Proficiency in ReactJS and ReactJS with TypeScript. Experience with Redux Toolkit, Bootstrap, and modern front-end development practices. Experience working with Python REST APIs and FastAPI. Strong knowledge of functional and class-based development. Understanding of microservices architecture and containerized environments. Familiarity with Server-Side Events for real-time communication. Other Qualifications: 6-8 years of experience as a full stack engineer. Agile development experience. Familiarity with databases and data warehouses (e.g., Snowflake, AWS DynamoDB, RDS, MySQL, MongoDB). Experience working with web servers (e.g., Apache) and UI/UX design. Proficiency in deploying applications on AWS Serverless platforms (Lambda, Step Functions, API Gateway). Experience with CI/CD tools like Jenkins, Octopus (optional but preferred). Knowledge of GenAI application development (optional but beneficial). Strong problem-solving skills and a collaborative mindset. Flexibility to work across global time zones (EST, IST, and others). Nice-to-Have Skills: Knowledge of additional front-end technologies (e.g., Node.js, HTML/CSS, JavaScript). Familiarity with GenAI applications and RAG-based development. The Senior Full Stack Engineer will join an existing development team to enhance and expand a complex, dynamic application. The role requires strong communication skills and technical expertise across the stack. You will collaborate with global teams spanning multiple time zones and actively contribute to ongoing feature development. Key Responsibilities: Collaborate with the development team to enhance existing applications and introduce new features. Write efficient, scalable, and maintainable code using modern web technologies. Build and optimize dynamic, config-driven components, and complex objects. Stream real-time data from APIs to front-end interfaces. Conduct unit and integration testing to ensure code quality. Work on Python REST APIs using FastAPI, focusing on microservices in containerized environments. Implement server-side events for enhanced app functionality. Show more Show less

About Us: Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in delivering high-quality human-curated data and AI-first scaled operations services. Based in San Francisco and Hyderabad, we are a fast-moving team on a mission to build AI for Good, driving innovation and societal impact. Role Overview: We’re looking for a Generative AI Engineer to join our client’s team and build intelligent systems powered by large language models and other generative AI architectures. This role involves developing and deploying LLM-based features, integrating vector search, fine-tuning models, and collaborating with product and engineering teams to ship robust, scalable GenAI applications. You’ll work across the GenAI stack — from prompt design to inference optimization — and shape how generative models are used in real-world products. Responsibilities: Fine-tune and deploy LLMs (e.g., GPT, LLaMA, Mistral) using frameworks like Hugging Face Transformers or LangChain Build and optimize Retrieval-Augmented Generation (RAG) pipelines using vector databases (e.g., Pinecone, FAISS) Engineer prompts for structured, reliable outputs across use cases (chatbots, summarization, coding copilots, etc.) Implement scalable inference pipelines and optimize latency, throughput, and cost using techniques like quantization or model distillation Collaborate with product, design, and frontend teams to integrate GenAI into user-facing features Monitor, evaluate, and continuously improve model performance, safety, and accuracy in production Ensure compliance with privacy, safety, and responsible AI practices (e.g., content filtering, output sanitization) Required Skills: Strong programming skills in Python, with familiarity in modern ML tooling Practical experience with LLM frameworks (e.g., Hugging Face Transformers, LangChain, LlamaIndex) Experience building or deploying RAG pipelines, including handling embeddings and vector search Understanding of transformer models, prompt engineering, and tokenization strategies Hands-on with APIs (OpenAI, Anthropic, Cohere, etc.) and model serving (FastAPI, Flask, etc.) Experience deploying ML models using Docker, Kubernetes, and/or cloud services (AWS/GCP/Azure) Comfortable with model evaluation, monitoring, and troubleshooting inference pipelines Nice to Have: Experience with multimodal models (e.g., diffusion models, TTS, image/video generation) Knowledge of RLHF, safety alignment, or model fine-tuning best practices Familiarity with open-source LLMs (e.g., Mistral, LLaMA, Falcon, Mixtral) and optimization (LoRA, quantization) Experience with LangChain agents, tool usage, and memory management Contributions to open-source GenAI projects or published demos/blogs on generative AI Exposure to frontend technologies (React/Next.js) for prototyping GenAI tools Educational Qualifications: Bachelor's or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related technical field Candidates with relevant project experience or open-source contributions may be considered regardless of formal degree Show more Show less

About Us: Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in delivering high-quality human-curated data and AI-first scaled operations services. Based in San Francisco and Hyderabad, we are a fast-moving team on a mission to build AI for Good, driving innovation and societal impact. Role Overview: We are looking for a Backend Engineer who can architect and build scalable, performant, and secure APIs and services. You’ll work closely with frontend, DevOps, and product teams to deliver high-impact backend systems that power critical features across our platform. The ideal candidate has deep experience with backend frameworks, databases, API design, and cloud infrastructure — and knows how to build reliable systems that scale. Responsibilities: Design, build, and maintain robust, scalable RESTful or GraphQL APIs Architect systems with clear data models and clean separation of concerns Optimize database performance through effective indexing, query tuning, and caching strategies Implement security best practices including authentication, authorization, rate limiting, and input validation Write unit, integration, and end-to-end tests to ensure system correctness and reliability Deploy, monitor, and maintain services in staging and production environments using CI/CD pipelines and observability tools Collaborate with cross-functional teams including frontend, DevOps, and product to ship high-quality features fast Troubleshoot performance bottlenecks, memory leaks, and outages in production environments Required Skills: Proficiency in one or more backend languages: Node.js (JavaScript/TypeScript), Python, Java, or Go Experience with backend frameworks like Express/NestJS, Django/FastAPI, Spring Boot, or Gin/Fiber Strong understanding of relational (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis) databases Expertise in API design, including REST, GraphQL, pagination, versioning, and error handling Familiarity with authentication protocols: JWT, OAuth2, session handling Solid grasp of security principles: XSS, CSRF, SQL Injection, secure password handling Experience with Docker for containerization and deploying microservices Understanding of caching (Redis, CDN), background processing (e.g., BullMQ, Celery), and job queues Working knowledge of Git workflows and code review practices Comfortable with CI/CD pipelines and automated deployments using tools like GitHub Actions, Jenkins, or GitLab CI Nice to Have: Experience with cloud platforms: AWS (EC2, S3, RDS, Lambda), GCP, or Azure Familiarity with Kubernetes or container orchestration for service scaling Hands-on with monitoring/logging tools: Prometheus, Grafana, ELK stack, Datadog, Sentry Experience building event-driven architectures using Kafka, RabbitMQ, or pub-sub systems Exposure to real-time systems using WebSockets, Socket.io, or Server-Sent Events Prior work on serverless architectures using AWS Lambda or GCP Functions Basic experience working with ETL pipelines or streaming data Integration experience with GenAI/ML inference layers is a plus Educational Qualifications: Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical discipline Equivalent practical experience or contributions to open-source backend projects are also considered Show more Show less

About the Role: Okulo Aerospace is looking for a versatile full-stack engineer who can build fast, take ownership, and grow with the company. You’ll work closely to design, develop, and scale our web applications using React (Frontend), FastAPI (Backend), Docker, and REST APIs . This is a high-impact role where you’ll help shape the architecture, culture, and future of our product . You'll be the second software engineer. Requirements ✔ Frontend: Strong in NEXT.js / React.js , JavaScript/TypeScript, Tailwind CSS. ✔ Backend: Experience with FastAPI (or Flask/Django) & Python. ✔ APIs: Comfortable designing & consuming RESTful APIs . ✔ DevOps: Hands-on with Docker (Kubernetes is a bonus). ✔ Database: NoSQL (MongoDB). ✔ Git/GitHub: Clean, organized version control. ✔ Problem-Solving: Ability to debug, optimize, and learn quickly. Preferred: WebSockets, AWS basics, and experience with testing (Jest, PyTest). Responsibilities Build end-to-end features – from UI (React) to backend (FastAPI) to deployment (Docker). Help define best practices in code, architecture, and DevOps as we scale. Work directly in product decisions. Optimize performance, fix bugs, and ensure scalable, maintainable code. Own what you build – this isn’t a "follow orders" role; you’ll have real responsibility. Benefits Intellectual fulfillment and rapid personal/professional development. Fast-paced, innovative team and work environment. Financial compensation on a case-by-case basis. Flexible work hours, professional autonomy, open-door policy, informal work setting, and strong meritocracy. Show more Show less

Dreaming big is in our DNA. It’s who we are as a company. It’s our culture. It’s our heritage. And more than ever, it’s our future. A future where we’re always looking forward. Always serving up new ways to meet life’s moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential. The power we create together – when we combine your strengths with ours – is unstoppable. Are you ready to join a team that dreams as big as you do? AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics. Do You Dream Big? We Need You. Job Description Job Title: Data Scientist Location: Bangalore Reporting to: Senior Manager Analytics Purpose of the role Anheuser-Busch InBev (AB InBev)’s Supply Analytics is responsible for building competitive differentiated solutions that enhance brewery efficiency through data-driven insights. We optimize processes, reduce waste, and improve productivity by leveraging advanced analytics and AI-driven solutions. As a Data Scientist you will work at the intersection of Conceptualize the analytical solution for the business problem by implementing statistical models and programming techniques. Application of machine learning solutions. Best in class cloud technology & micro-services architecture. Use DevOps best practices that include model serving, data & code versioning. Key tasks & accountabilities Develop and fine-tune Gen AI models to solve business problems, leveraging LLMs, and other advanced AI techniques. Design, implement, and optimize AI-driven solutions that enhance automation, efficiency, and decision-making. Work with cloud-based architectures to deploy and scale AI models efficiently using best-in-class microservices. Apply DevOps and MLOps best practices for model serving, data and code versioning, and continuous integration/deployment. Collaborate with cross-functional teams (engineering, business, and product teams) to translate business needs into AI-driven solutions. Ensure model interpretability, reliability, and performance, continuously improving accuracy and reducing biases. Develop internal tools and utilities to enhance the productivity of the team and streamline workflows. Maintain best coding practices, including proper documentation, testing, logging, and performance monitoring. Stay up to date with the latest advancements in Gen AI, LLMs, and deep learning to incorporate innovative approaches into projects. Qualifications, Experience, Skills Level Of Educational Attainment Required Academic degree in, but not limited to, Bachelors or master's in computer application, Computer science, or any engineering discipline. Previous Work Experience Minimum 3 years of relevant experience. Technical Skills Required Programming Languages: Proficiency in Python. Mathematics and Statistics: Strong understanding of linear algebra, calculus, probability, and statistics. Machine Learning Algorithms: Knowledge of supervised, unsupervised, and reinforcement learning techniques. Natural Language Processing (NLP): Understanding of techniques such as tokenization, POS tagging, named entity recognition, and machine translation. LLMs: Experience with Langchain, inferring from LLMs and fine tuning LLMs for specific tasks, Prompt Engineering. Data Preprocessing: Skills in data cleaning, normalization, augmentation, and handling imbalanced datasets. Database Management: Experience with SQL and NoSQL databases like MongoDB and Redis. Cloud Platforms: Familiarity with Azure and Google Cloud Platform. DevOps: Knowledge of CI/CD pipelines, Docker, Kubernetes. Other Skills Required APIs: Experience with FastAPI or Flask. Software Development: Understanding of software development lifecycle (SDLC) and Agile methodologies. And above all of this, an undying love for beer! We dream big to create future with more cheers. Show more Show less

• Provide senior-level production support for Splunk apps and integrations across on-prem and cloud environments. • Diagnose and resolve issues related to app scripts, APIs, dashboards, search queries, alerting logic, and data ingestion. • Troubleshoot and debug application-level issues using logs, scripts, and system diagnostics. • Drive automation for repeated tasks and scripts; maintain and improve operational tooling. • Work with development and engineering teams to analyze bugs and deploy fixes. • Support deployment upgrades, migration, and configuration changes across environments. • Act as a technical point of contact for assigned Splunk applications and use cases. • Ensure proper documentation of root cause analysis and contribute to the knowledge base. Skillset • 5+ years’ experience with Splunk application support hybrid environment which includes customer interaction & case management • Strong scripting expertise in Python, Bash, JavaScript, GitHub, FastAPI etc. • Experience with relative experience in integration methods like API, HEC, scripted inputs etc. • Hands on experience in network data troubleshooting using Wireshark, tcp dump etc • Good knowledge of Splunk integrations systems in On-Prem, SaaS apps, network components and databases etc. • Excellent knowledge of SQL, PL/SQL, SQLAlchemy, etc. • Self-driven and adaptable with strong documentation and communication skills You can also share your CV at vanshita.pawar@hummingbirdconsulting.work Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. We have some Python demands and we foresee this growing in upcoming days. Need your help with hiring Python Developers with JD below: Python Developer (FastAPI/Flask/Django) Experience Range: 5 – 9 Years (A healthy mix within this experience Range) Responsibilitie Build scalable backend applications using FastAPI, Flask or Django Design RESTful APIs and implement data models with Pydantic Utilize AWS services (DynamoDB, S3, EKS) for deployment Write unit tests and integrate with CI/CD pipelines Collaborate with cross-functional teams Requirements Python development experience Experience with any one of the following frameworks: Django, FastAPI, or Flask AWS services knowledge (DynamoDB, S3, EKS) Pydantic and unit testing experience like PyTest Git for version control Nice to Have Containerization (Docker) and orchestration (Kubernetes) CI/CD pipeline experience NoSQL database knowledge EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

Summary Position Summary Strategy & Analytics AI & Data In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment. The AI & Data team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. Together with the Strategy practice, our Strategy & Analytics portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets. AI & Data will work with our clients to: Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements Python Developer - Sr. Consultant T he position is suited for individuals who have the ability to work in a constantly challenging environment and deliver effectively and efficiently. As a Data Engineer, you will be an integral member of our Data & Analytics team responsible for design and development of pipelines using cutting edge technologies . Work you’ll do Implementation of security and data protection Implementation of ETL pipelines for data from a wide variety of data sources using Python and SQL Delivering data and insights in Realtime Participate in architectural, design, and product sessions. Unit testing and debugging skills Collaborate with other developers, testers, and system engineers to ensure quality of deliverables and any product enhancements. Qualifications Required: 6-9 Years of technology Consulting experience Education: Bachelors/ Master’s degree in Computer Science / MCA / M.Sc / MBA A minimum of 2 Years of experience into Unit testing and debugging skills Excellent knowledge of Python programming language along with knowledge of at least one Python web framework (Django , Flask , FastAPI , Pyramid ) Extensive experience in Pandas/ Numpy dataframes , slicing, data wrangling, aggregations. Lambda Functions, Decorators. Vector operations on Pandas dataframes /series. Application of applymap , apply, map functions. Understanding on using a framework based on specific needs and requirements. Understanding of the threading limitations of Python, and multi-process architecture Basic understanding of front-end technologies, such as JavaScript, HTML5, and CSS3 Primary Skills Python and data analysis libraries (Pandas, NumPy, SciPy). Django DS/Algo SQL (Read & Write) CRUD Awareness of Microservices Preferred: Good Understanding of fundamental design principles behind a scalable application Good Understanding of accessibility and security compliance Familiarity with event-driven programming in Python Proficient understanding of code versioning tools (Git , Mercurial or SVN) Knowledge of PowerShell and SQL Server You are familiar with big data technologies like Spark or Flink and comfortable working with web-scale datasets You have an eye for detail, good data intuition, and a passion for data quality G ood Knowledge of user authentication and authorization between multiple systems, servers, and environments You appreciate the importance of great documentation and data debugging skill 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: 300058 Show more Show less

Summary Position Summary Strategy & Analytics AI & Data In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment. The AI & Data team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. Together with the Strategy practice, our Strategy & Analytics portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets. AI & Data will work with our clients to: Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements Python Developer - Consultant T he position is suited for individuals who have the ability to work in a constantly challenging environment and deliver effectively and efficiently. As a Data Engineer, you will be an integral member of our Data & Analytics team responsible for design and development of pipelines using cutting edge technologies . Work you’ll do Implementation of security and data protection Implementation of ETL pipelines for data from a wide variety of data sources using Python and SQL Delivering data and insights in Realtime Participate in architectural, design, and product sessions. Unit testing and debugging skills Collaborate with other developers, testers, and system engineers to ensure quality of deliverables and any product enhancements. Qualifications Required: 3-6 Years of technology Consulting experience Education: Bachelors/ Master’s degree in Computer Science / MCA / M.Sc / MBA A minimum of 2 Years of experience into Unit testing and debugging skills Excellent knowledge of Python programming language along with knowledge of at least one Python web framework (Django , Flask , FastAPI , Pyramid ) Extensive experience in Pandas/ Numpy dataframes , slicing, data wrangling, aggregations. Lambda Functions, Decorators. Vector operations on Pandas dataframes /series. Application of applymap , apply, map functions. Understanding on using a framework based on specific needs and requirements. Understanding of the threading limitations of Python, and multi-process architecture Basic understanding of front-end technologies, such as JavaScript, HTML5, and CSS3 Primary Skills Python and data analysis libraries (Pandas, NumPy, SciPy). Django DS/Algo SQL (Read & Write) CRUD Awareness of Microservices Preferred: Good Understanding of fundamental design principles behind a scalable application Good Understanding of accessibility and security compliance Familiarity with event-driven programming in Python Proficient understanding of code versioning tools (Git , Mercurial or SVN) Knowledge of PowerShell and SQL Server You are familiar with big data technologies like Spark or Flink and comfortable working with web-scale datasets You have an eye for detail, good data intuition, and a passion for data quality G ood Knowledge of user authentication and authorization between multiple systems, servers, and environments You appreciate the importance of great documentation and data debugging skill 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: 300054 Show more Show less

Summary Position Summary Strategy & Analytics AI & Data In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment. The AI & Data team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. Together with the Strategy practice, our Strategy & Analytics portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets. AI & Data will work with our clients to: Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements Python Developer - Sr. Consultant T he position is suited for individuals who have the ability to work in a constantly challenging environment and deliver effectively and efficiently. As a Data Engineer, you will be an integral member of our Data & Analytics team responsible for design and development of pipelines using cutting edge technologies . Work you’ll do Implementation of security and data protection Implementation of ETL pipelines for data from a wide variety of data sources using Python and SQL Delivering data and insights in Realtime Participate in architectural, design, and product sessions. Unit testing and debugging skills Collaborate with other developers, testers, and system engineers to ensure quality of deliverables and any product enhancements. Qualifications Required: 6-9 Years of technology Consulting experience Education: Bachelors/ Master’s degree in Computer Science / MCA / M.Sc / MBA A minimum of 2 Years of experience into Unit testing and debugging skills Excellent knowledge of Python programming language along with knowledge of at least one Python web framework (Django , Flask , FastAPI , Pyramid ) Extensive experience in Pandas/ Numpy dataframes , slicing, data wrangling, aggregations. Lambda Functions, Decorators. Vector operations on Pandas dataframes /series. Application of applymap , apply, map functions. Understanding on using a framework based on specific needs and requirements. Understanding of the threading limitations of Python, and multi-process architecture Basic understanding of front-end technologies, such as JavaScript, HTML5, and CSS3 Primary Skills Python and data analysis libraries (Pandas, NumPy, SciPy). Django DS/Algo SQL (Read & Write) CRUD Awareness of Microservices Preferred: Good Understanding of fundamental design principles behind a scalable application Good Understanding of accessibility and security compliance Familiarity with event-driven programming in Python Proficient understanding of code versioning tools (Git , Mercurial or SVN) Knowledge of PowerShell and SQL Server You are familiar with big data technologies like Spark or Flink and comfortable working with web-scale datasets You have an eye for detail, good data intuition, and a passion for data quality G ood Knowledge of user authentication and authorization between multiple systems, servers, and environments You appreciate the importance of great documentation and data debugging skill 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: 300058 Show more Show less