1853 Fastapi Jobs

The IZOT product line includes BMCs Intelligent Z Optimization & Transformation products, which help the worlds largest companies to monitor and manage their mainframe systems. The modernization of mainframe is the beating heart of our product line, and we achieve this goal by developing products that improve the developer experience, the mainframe integration, the speed of application development, the quality of the code and the applications security, while reducing operational costs and risks. We acquired several companies along BMC is looking for a talented Python Developer to join our family working on complex and distributed software, developing, and debugging software products, implementing features, and assisting the firm in assuring product quality. Here is how, through this exciting role, YOU will contribute to BMC's and your own success: We are seeking a Python with AI/ML Developer to join a highly motivated team responsible for developing and maintaining innovation for mainframe capacity and cost management. As an Application Developer at BMC, you will be responsible for: Developing and integrating AI/ML models with a focus on Generative AI (GenAI), Retrieval-Augmented Generation (RAG), and Vector Databases to enhance intelligent decision-making. Building scalable AI pipelines for real-time and batch inference, optimizing model performance, and deploying AI-driven applications. Implementing RAG-based architectures using LLMs (Large Language Models) for intelligent search, chatbot development, and knowledge management. Utilizing vector databases (e.g., FAISS, ChromaDB, Weaviate, Pinecone) to enable efficient similarity search and AI-driven recommendations. Developing modern web applications using Angular to create interactive and AI-powered user interfaces. To ensure youre set up for success, you will bring the following skillset & experience: 7+ years of experience in designing and implementing AI/ML-driven applications Strong proficiency in Python and AI/ML frameworks like TensorFlow, PyTorch, Hugging Face Transformers, LangChain. Experience with Vector Databases (FAISS, ChromaDB, Weaviate, Pinecone) for semantic search and embeddings. Hands-on expertise in LLMs (GPT, LLaMA, Mistral, Claude, etc.) and fine-tuning/customizing models. Proficiency in Retrieval-Augmented Generation (RAG) and prompt engineering for AI-driven applications. Experience with Angular for developing interactive web applications. Experience with RESTful APIs, FastAPI, Flask, or Django for AI model serving. Working knowledge of SQL and NoSQL databases for AI/ML applications. Hands-on experience with Git/GitHub, Docker, and Kubernetes for AI/ML model deployment.

Expected Notice Period: 30 Days Shift: (GMT+05:30) Asia/Kolkata (IST) What do you need for this opportunity? Must have skills required: AI/ML, E-Commerce, Fintech, open-source, FastAPI, AWS, Python, Microservices, Restful APIs, Generative AI, Django What Youll Do Own development of scalable backend systems for production-grade applications Design and develop backend services that power GenAI applications and platforms Build APIs and infrastructure to support LLM-based features, tools, and agent workflows Design and implement RESTful APIs, microservices, and data models Own payment gateway integrations (e.g., Razorpay, Stripe, etc.) and ensure secure, seamless transactions Architect and deploy backend solutions across cloud platforms (AWS, GCP, etc.) Build and maintain resilient infrastructure to support high-traffic applications Collaborate with frontend, DevOps, and product teams to ship end-to-end features Optimize systems for performance, reliability, and scalability Drive code quality, system security, and architectural best practices What Were Looking For 3-5 years of experience in backend development with end-to-end ownership of feature delivery Proficiency in Python Strong knowledge of relational and non-relational databases Proven experience with payment gateway integration and order processing systems Experience designing scalable systems and working with event-driven or distributed architectures Familiarity with Docker, Kubernetes, CI/CD pipelines, and monitoring tools Ability to translate business needs into robust technical solutions Excellent debugging, communication, and collaboration skills Nice to Have Experience working in start-ups or fast-paced product teams Exposure to AI/ML-based systems or microservice architectures Prior experience in fintech or e-commerce platforms Contributions to open-source backend projects

Expected Notice Period: 30 Days Shift: (GMT+05:30) Asia/Kolkata (IST) Opportunity Type: Hybrid (Gurugram) What do you need for this opportunity? Must have skills required: Experience with media - image/video - workflows, Gen AI models, or visual editing apps, AWS Looking for: Were hiring a Director of Engineering to lead execution across both of our products Crop.photo (Bulk AI photo editing and banner automation) and Evolphin Zoom (enterprise-grade MAM). This role requires strong technical fluency and product judgment. Youre not expected to write code, but you must understand how modern AWS based SaaS systems are built, own delivery across teams, clarify PRD/specs, unblock engineers, and make sure what we ship meets the definition of customer product market fit. Youll work directly with the CTO, taking high-level product requirements and translating them into clear, implementation specs for the team. Youll lead engineering across two teams with very different maturity levels: one startup-fast and AI-driven, the other powering massive enterprise deployments. Youll be expected to enforce delivery timelines, priorities, and build a culture of high ownership and real ICP awareness. This role sits at the intersection of engineering, product, and execution. You wont just manage tickets youll guide the team to build things that actually work for customers. That includes asking hard questions when specs are vague, catching broken UX flows before QA does, and holding engineering team members to a standard that reflects the level we need to operate at to achieve product market fit. What Youll Do Own engineering delivery across two active products Crop.photo and Evolphin Zoom Translate high-level product inputs/PRDs from the CTO into actionable, implementation-ready specs Unblock engineers, challenge weak assumptions, and clarify gaps before they become delays Work with leads to ensure velocity stays high and step in when accountability drops Balance short-term execution with longer-term platform thinking across very different stacks Prioritize real outcomes: features that solve customer problems, not just check boxes in a PRD sheet Occasionally dive into code or architecture reviews when context or escalation demands it Help grow the team by identifying strong ICs, spotting performance issues & skill gaps early, and mentoring mid-level contributors Operate entirely in modern tooling Google Docs, Notion, Teams, ChatGPT, GitHub, YouTrack and Jira and bring in better tools when needed Coordinate with product, QA, and UX design to align expectations and catch misalignment early What You Must Bring 8+ years of engineering experience, including 2-3 years in a senior engineering management or director-level role Strong track record of delivery in B2B SaaS or product-focused startups Technical fluency across cloud-first architecture (AWS), APIs, and visual web apps 3+ years working with modern AWS infrastructure (EC2, ECS, Lambda, API gateway, CloudWatch, IAM) enough to understand cost, reliability, and trade-offs 23 years working with frontend frameworks (React) in products with visual UX or creative/editor-style interfaces Familiarity with backend stacks including FastAPI, Python, Java/Spring, and API design enough to evaluate decisions and guide implementation 1+ years of experience working with AI/ML or MLOps pipelines including deployment of models via FastAPI, Docker, or GPU-based ECS Exposure to CI/CD pipelines (AWS CodeBuild/CodeDeploy), containerization (Docker), and monitoring/debugging tools (Datadog, CloudWatch, or similar) High product IQ you know when a feature wont work for the customer, even if its technically complete Strong written communication you can write specs, help docs, and feedback notes without slowing the team down or depending on CTO/Founder to fill in the gaps Nice to Have Experience with media - image/video - workflows, gen AI models, or visual editing apps Familiarity with Evolphins or Crop.photos tech stack (FastAPI, Docker, React, Java/Spring, DynamoDB, PostgreSQL, etc.) Exposure to multi-tenant SaaS systems and cost-optimized scaling on AWS Prior role as Staff Engineer or EM in a startup - 40 people.

Full Stack Engineer (Modern Web & AI-Powered Solutions - MERN Stack, CI/CD, AWS) Location : [Remote/On-site/Hybrid] Department : Product & Engineering Reports To : Product Manager Role : Overview: We are seeking a skilled Full Stack Developer to build and scale a customer-facing web application and internal dashboard. This role will primarily focus on frontend and backend development using the MERN stack and modern UI frameworks, with a basic understanding of cloud deployment practices. The developer will be responsible for implementing user registration, billing, service metering, and model API integrations including those built on Python (e.g., RAG pipelines). The solution is to be productionized in AWS. Technology Spectrum for this Role: (Tech stack in line with this is also fine) Frontend Development: HTML, CSS, JavaScript, TypeScript React.js, Next.js, Redux Toolkit, React Query, React Router, React Flow, Expo Tailwind CSS, Bootstrap, Material UI, Framer Motion, JQuery, Axios Backend Development: Node.js, Express.js, FastAPI, Supabase REST APIs, GraphQL, WebSocket/Socket.IO JWT Authentication, API security practices Rate limiting / API throttling tools (e.g., express-rate-limit) Databases: MongoDB, Mongoose, MySQL, PostgreSQL, Redis Prisma, ORM Tools, Amazon S3 Programming Languages: JavaScript, TypeScript, Python, Shell/Bash Version Control & Deployment: Git, GitHub, Bitbucket Pipelines, GitLab CI, Jenkins Vercel, Render, Netlify Tools & Others: VS Code, Figma, Postman, Swagger Testing: Jest, Mocha, Chai, Cypress Cloud Infrastructure: Preferred: AWS (EC2, S3, RDS, DynamoDB, Lambda, API Gateway, Route 53, CloudFront, CloudWatch, ECS, IAM, Secrets Manager) Optional: Google Cloud CI/CD & DevOps Tools: GitHub Actions, GitLab CI, Jenkins Docker, Terraform, AWS SDK, Bash scripting Infrastructure as Code (IaC) & Deployment: Terraform, AWS CDK, CloudFormation Monitoring & Logs: AWS CloudWatch, X-Ray, Prometheus, Grafana AI Components & Integration: Google Vertex AI, AWS Bedrock, AWS Lambda, API Gateway Integration with Python RAG pipelines, LangChain, LlamaIndex, Weaviate, Pinecone Responsibilities: Develop and maintain customer-facing websites and internal dashboards (desktop + mobile compatible) Integrate frontend with backend APIs and external AI model APIs Ensure optimal UX and responsive design using modern UI frameworks Implement authentication, billing workflows, and real-time usage metering Write clean, well-documented, modular code with an emphasis on testing Set up robust CI/CD pipelines for full-stack applications (GitHub Actions or equivalent) Manage AWS-based staging and production environments with security, reliability, and cost-efficiency Automate deployment for MERN-based frontend/backend and Python APIs Handle secrets management, IAM roles, SSL, DNS setup (Route 53) , and traffic routing (CloudFront) Support containerization and orchestration (Docker, ECS, optional EKS) Monitor system performance, logs, and alerts Required Skills: 3+ years of experience with React and Node.js-based full-stack development Expertise in UI libraries (Material UI, Tailwind CSS, Bootstrap) Strong understanding of RESTful APIs, JWT authentication, and API security practices Basic cloud deployment knowledge (EC2, Vercel, Render) Collaborative and proactive approach when working with DevOps engineers and Python model teams

Shift: (GMT+05:30) Asia/Kolkata (IST) What do you need for this opportunity Must have skills required: Python Stupa Sports Analytics is Looking for: Senior Backend Developer (Python) We are seeking a skilled and experienced Backend Developer to join our team at Stupa Analytics. As a Backend Developer, you will be responsible for building and maintaining the backend services and APIs that power our sports analytics platform, ensuring high performance, scalability, and security. Responsibilities: Develop and maintain backend services and APIs using Python, FastAPI, Django, Flask, and other relevant technologies. Collaborate with frontend developers, product managers, and other team members to design and implement features and enhancements for our sports analytics platform. Optimize application performance, scalability, and reliability, ensuring a seamless user experience. Implement security best practices and ensure compliance with cloud-native architectures. Work with SQL and NoSQL databases, such as SQL Server, PostgreSQL, and others, to store and manage data efficiently. Understand and implement microservices framework, SaaS-based architecture, multi-tenant architecture, and containerization frameworks. Participate in code reviews, maintain code quality, and ensure adherence to best practices. Stay up-to-date with the latest backend technologies and trends, such as cloud-native components using one of the cloud providers (Azure, AWS, GCP), and API integration. Develop a solid understanding of cloud services, cloud security principles, and sports analytics. Requirements: Bachelor's degree in Computer Science, Engineering, or a related field. 4-7 years of experience in backend development, preferably in the sports analytics or sports industry. Proficiency in Python, FastAPI, Django, Flask, and relevant backend technologies. Experience working with SQL and NoSQL databases, such as SQL Server, PostgreSQL, and others. Strong understanding of microservices framework, SaaS-based architecture, multi-tenant architecture, and containerization frameworks. Familiarity with frontend technologies, such as HTML, CSS, JavaScript, Angular, React, and API integration. Knowledge of web security best practices and cloud security principles. Excellent problem-solving, communication, and teamwork skills. Passion for sports analytics and a strong understanding of the sports industry (preferred).

BMC AMI Cost and Capacity Management - As digitization increases, so does the complexity of managing mainframe capacity and costs. BMC AMI Cost and Capacity portfolio increases availability, predicts capacity bottlenecks before they occur, and optimizes mainframe software costs. Here is how, through this exciting role, YOU will contribute to BMC's and your own success: We are seeking a Python with AI/ML Developer to join a highly motivated team responsible for developing and maintaining innovation for mainframe capacity and cost management. As an Application Developer at BMC, you will be responsible for: Developing and integrating AI/ML models with a focus on Generative AI (GenAI), Retrieval-Augmented Generation (RAG), and Vector Databases to enhance intelligent decision-making. Building scalable AI pipelines for real-time and batch inference, optimizing model performance, and deploying AI-driven applications. Implementing RAG-based architectures using LLMs (Large Language Models) for intelligent search, chatbot development, and knowledge management. Utilizing vector databases (e.g., FAISS, ChromaDB, Weaviate, Pinecone) to enable efficient similarity search and AI-driven recommendations. Developing modern web applications using Angular to create interactive and AI-powered user interfaces. Developing APIs and microservices to expose AI/ML models for enterprise applications. Processing and analyzing structured & unstructured data, including text, images, and time-series data for AI/ML applications. Optimizing ML models for performance and scalability, ensuring low latency and high availability in production. Staying updated with advancements in GenAI, NLP, transformers, and deep learning architectures to drive innovation. Collaborating with cross-functional teams to integrate AI capabilities into existing applications and workflows. To ensure youre set up for success, you will bring the following skillset & experience: Strong proficiency in Python and AI/ML frameworks like TensorFlow, PyTorch, Hugging Face Transformers, LangChain. Experience with Vector Databases (FAISS, ChromaDB, Weaviate, Pinecone) for semantic search and embeddings. Hands-on expertise in LLMs (GPT, LLaMA, Mistral, Claude, etc.) and fine-tuning/customizing models. Proficiency in Retrieval-Augmented Generation (RAG) and prompt engineering for AI-driven applications. Experience with Angular for developing interactive web applications. Experience with RESTful APIs, FastAPI, Flask, or Django for AI model serving. Working knowledge of SQL and NoSQL databases for AI/ML applications. Hands-on experience with Git/GitHub, Docker, and Kubernetes for AI/ML model deployment. Whilst these are nice to have, our team can help you develop in the following skills: Experience with knowledge graphs, semantic search, and enterprise AI applications. Additional experience with .NET v7+ and cross-platform .NET development would be helpful. Exposure to IBM z/OS mainframe environments and AI-driven optimization for legacy systems. Background in statistical data analysis, reinforcement learning, or advanced ML techniques.

TECHNICAL ARCHITECT Key Responsibilities 1. Designing technology systems: Plan and design the structure of technology solutions, and work with design and development teams to assist with the process. 2. Communicating: Communicate system requirements to software development teams, and explain plans to developers and designers. They also communicate the value of a solution to stakeholders and clients. 3. Managing Stakeholders: Work with clients and stakeholders to understand their vision for the systems. Should also manage stakeholder expectations. 4. Architectural Oversight: Develop and implement robust architectures for AI/ML and data science solutions, ensuring scalability, security, and performance. Oversee architecture for data-driven web applications and data science projects, providing guidance on best practices in data processing, model deployment, and end-to-end workflows. 5. Problem Solving: Identify and troubleshoot technical problems in existing or new systems. Assist with solving technical problems when they arise. 6. Ensuring Quality: Ensure if systems meet security and quality standards. Monitor systems to ensure they meet both user needs and business goals. 7. Project management: Break down project requirements into manageable pieces of work, and organise the workloads of technical teams. 8. Tool & Framework Expertise: Utilise relevant tools and technologies, including but not limited to LLMs, TensorFlow, PyTorch, Apache Spark, cloud platforms (AWS, Azure, GCP), Web App development frameworks and DevOps practices. 9. Continuous Improvement: Stay current on emerging technologies and methods in AI, ML, data science, and web applications, bringing insights back to the team to foster continuous improvement. Technical Skills 1. Proficiency in AI/ML frameworks such as TensorFlow, PyTorch, Keras, and scikit-learn for developing machine learning and deep learning models. 2. Knowledge or experience working with self-hosted or managed LLMs. 3. Knowledge or experience with NLP tools and libraries (e.g., SpaCy, NLTK, Hugging Face Transformers) and familiarity with Computer Vision frameworks like OpenCV and related libraries for image processing and object recognition. 4. Experience or knowledge in back-end frameworks (e.g., Django, Spring Boot, Node.js, Express etc.) and building RESTful and GraphQL APIs. 5. Familiarity with microservices, serverless, and event-driven architectures. Strong understanding of design patterns (e.g., Factory, Singleton, Observer) to ensure code scalability and reusability. 6. Proficiency in modern front-end frameworks such as React, Angular, or Vue.js, with an understanding of responsive design, UX/UI principles, and state management (e.g., Redux) 7. In-depth knowledge of SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra), as well as caching solutions (e.g., Redis, Memcached). 8. Expertise in tools such as Apache Spark, Hadoop, Pandas, and Dask for large-scale data processing. 9. Understanding of data warehouses and ETL tools (e.g., Snowflake, BigQuery, Redshift, Airflow) to manage large datasets. 10. Familiarity with visualisation tools (e.g., Tableau, Power BI, Plotly) for building dashboards and conveying insights. 11. Knowledge of deploying models with TensorFlow Serving, Flask, FastAPI, or cloud-native services (e.g., AWS SageMaker, Google AI Platform). 12. Familiarity with MLOps tools and practices for versioning, monitoring, and scaling models (e.g., MLflow, Kubeflow, TFX). 13. Knowledge or experience in CI/CD, IaC and Cloud Native toolchains. 14. Understanding of security principles, including firewalls, VPC, IAM, and TLS/SSL for secure communication. 15. Knowledge of API Gateway, service mesh (e.g., Istio), and NGINX for API security, rate limiting, and traffic management. Experience Required Technical Architect with 7 - 12 years of experience Salary 22-25 LPA Job Types: Full-time, Permanent Pay: ₹2,200,000.00 - ₹2,500,000.00 per year Location Type: In-person Work Location: In person

Talent500 is hiring for one of our client About American Airlines: To Care for People on Life's Journey®. We have a relentless drive for innovation and excellence. Whether you're engaging with customers at the airport or advancing our IT infrastructure, every team member plays a vital role in shaping the future of travel. At American’s Tech Hubs, we tackle complex challenges and pioneer cutting-edge technologies that redefine the travel experience. Our vast network and diverse customer base offer unique opportunities for engineers to solve real-world problems on a grand scale. Join us and immerse yourself in a dynamic, tech-driven environment where your creativity and unique strengths are celebrated. Experience the excitement of being at the forefront of technological innovation, where every day brings new opportunities to make a meaningful impact. About Tech Hub in India: American’s Tech Hub in Hyderabad, India, is our newest location and home to team members who drive technical innovation and engineer unrivalled digital products to best serve American’s customers and team members. With U.S. tech hubs in Dallas-Fort Worth, Texas and Phoenix, Arizona, our new location in Hyderabad, India, positions American to deliver industry-leading technology solutions that create a world-class customer experience. Engineer, IT Software INTRO: Are you ready to explore a world of possibilities, both at work and during your time off? Join our American Airlines family, and you’ll travel the world, grow your expertise, and become the best version of you. As you embark on a new journey, you’ll tackle challenges with flexibility and grace, learning new skills and advancing your career while having the time of your life. Feel free to enrich both your personal and work life and hop onboard! WHY YOU’LL LOVE THIS JOB: As one diverse, high-performing team dedicated to technical excellence, you will focus relentlessly on delivering unrivaled digital products that drive a more reliable and profitable airline. The Software domain refers to the area within Information Technology that focuses on the development, deployment, management, and maintenance of software applications that support business processes and user needs. This includes development, application lifecycle management, requirement analysis, QA, security & compliance, and maintaining the applications and infrastructure. WHAT YOU’LL DO: This list is intended to reflect the current job but there may be additional essential functions (and certainly non-essential job functions) that are not referenced. Management will modify the job or require other tasks be performed whenever it is deemed appropriate to do so, observing, of course, any legal obligations including any collective bargaining obligations. Writes, tests, and documents technical work products (e.g., code, scripts, processes) according to organizational standards and practices Devotes time to raising the quality and craftsmanship of products and systems Conducts root cause analysis to identify domain level problems and prescribes action items to mitigate Designs self-contained systems within a team's domain, and leads implementations of significant capabilities in existing systems Coaches team members in the execution of techniques to improve reliability, resiliency, security, and performance Decomposes intricate and interconnected designs into implementations that can be effectively built and maintained by less experienced engineers Anticipates trouble areas in systems under development and guides the team in instrumentation practices to ensure observability and supportability Defines test suites and instrumentation that ensures targets for latency and availability are being consistently met in production Leads through example by prioritizing the closure of open vulnerabilities Evaluates potential attack surfaces in systems under development, identifies best practices to mitigate, and guides teams in their implementation Leads team in the identification of small batches of work to delivery the highest value quickly Ensures reuse is a first class consideration in all team implementations and is a passionate advocate for broad reusability Formally mentors teammates and helps guide them to and along needed learning journeys Observes their environment and identifies opportunities for introducing new approaches to problems ALL YOU’LL NEED FOR SUCCESS: Minimum Qualifications – Education & Prior Job Experience: Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS / MIS), Engineering or related technical discipline, or equivalent experience / training 3+ years of experience designing, developing, and implementing large-scale solutions in production environments Preferred Qualifications – Education & Prior Job Experience : Master's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS / MIS), Engineering or related technical discipline, or equivalent experience / training Airline Industry experience Skills, Licenses, and Certifications: Proficiency with the following technologies: Programming Languages: Java, Python, C#, Javascript / Typescript Frameworks: Spring / Spring Boot, FastAPI Front End Technologies: Angular / React Deployment Technologies: Kubernetes, Docker Source Control: GitHub, Azure DevOps CICD: GitHub Actions, Azure DevOps Data management: PostgreSQL, MongoDB, Redis Integration/APIs Technologies: Kafka, REST, GraphQL Cloud Providers such as Azure and AWS Test Automation: Selenium, TestNG, Postman, SonarQube, Cypress, JUnit / NUnit / PyTest, Cucumber, Playwright, Wiremock / Mockito / Moq Ability to optimize solutions for performance, resiliency and reliability while maintaining an eye toward simplicity Ability to concisely convey ideas verbally, in writing, in code, and in diagrams Proficiency in object-oriented design techniques and principles Proficiency in Agile methodologies, such as SCRUM Proficiency in DevOps Toolchain methodologies, including Continuous Integration and continuous deployment LANGUAGE / COMMUNICATION SKILLS: Ability to effectively communicate both verbally and written with all levels within the organization Physical ability necessary to safely and successfully perform the essential functions of the position, with or without any legally required reasonable accommodations that do not pose an undue hardship Note: If the Company has reason to question an employee’s physical ability to safely and / or successfully perform the position’s essential job functions, the HR team generally will engage in an interactive process to determine whether a reasonable accommodation is appropriate. HR (working with the operation) ordinarily first speaks with the team member directly and they mutually identify the physical demands of the job that are or may be impacted by the employee’s obvious or known condition. Then, if necessary, HR would request medical documentation from the team member’s treating physician or others to confirm the employee’s ability to perform those essential job functions safely and successfully. FEEL FREE TO BE YOURSELF AT AMERICAN: Are you ready to feel a tremendous sense of pride and satisfaction as you do your part to keep the largest airline in the world running smoothly as we care for people on life’s journey? Feel free to be yourself at American. COMPETENCIES: Caring Collaboration Development Future Results

Job Summary: We are seeking a highly skilled Python Developer to join our team. Key Responsibilities: Design, develop, and deploy Python applications Work independently on machine learning model development, evaluation, and optimization. Implement scalable and efficient algorithms for predictive analytics and automation. Optimize code for performance, scalability, and maintainability. Collaborate with stakeholders to understand business requirements and translate them into technical solutions. Integrate APIs and third-party tools to enhance functionality. Document processes, code, and best practices for maintainability. Required Skills & Qualifications: 5-6 years of professional experience in Python application development. Proficiency in Python libraries such as Pandas, NumPy, SciPy, and Matplotlib. Experience with SQL and NoSQL databases (PostgreSQL, MongoDB, etc.). Hands-on experience with big data technologies (Apache Spark, Delta Lake, Hadoop, etc.). Strong experience in developing APIs and microservices using FastAPI, Flask, or Django. Good understanding of data structures, algorithms, and software development best practices. Strong problem-solving and debugging skills. Ability to work independently and handle multiple projects simultaneously. Good to have - Working knowledge of cloud platforms (Azure/AWS/GCP) for deploying ML models and data applications. Job Type: Full-time Pay: ₹500,000.00 - ₹1,000,000.00 per year Schedule: Fixed shift Work Location: In person Application Deadline: 30/06/2025 Expected Start Date: 07/07/2025

Job Title: Backend Engineer – Python & Microservices Location: Remote | Experience: 5–7+ Years | Type: Full-time We are seeking a highly skilled Backend Engineer with deep expertise in Python and microservices to join our dynamic team. The ideal candidate will have hands-on experience in designing scalable, production-grade systems and RESTful APIs using frameworks like Flask, FastAPI, or Django. Strong knowledge of containerized environments (Docker, Kubernetes), cloud platforms (AWS preferred), and event-driven systems (Kafka, SQS) is essential. Key responsibilities include building modular microservices, managing SQL/NoSQL databases (PostgreSQL, MongoDB, DynamoDB), and implementing CI/CD pipelines with tools like GitHub Actions and Terraform. The role demands familiarity with observability tools (Grafana, CloudWatch) and best practices in API security, rate limiting, and performance optimization. Experience with distributed teams, agile workflows, and a strong ownership mindset is preferred. Bonus points for integration experience with tools like Zendesk or chat/ticketing platforms. Skills: Python, Microservices, REST APIs, AWS, Kafka, Docker, Kubernetes, CI/CD, PostgreSQL, MongoDB.

Job Title: Data Scientist Position Summary As a Data Scientist at FSL, you will leverage your expertise in Machine Learning, Deep Learning, Computer Vision, Natural Language Processing and Generative AI to develop innovative data-driven solutions and applications. You will play a key role in designing and deploying dynamic models and applications using modern web frameworks like Flask and FastAPI, ensuring efficient deployment and ongoing monitoring of these systems Key Responsibilities: Model Development and Application: Design and implement advanced ML and DL models. Develop web applications for model deployment using Flask and FastAPI to enable real-time data processing and user interaction. Data Analysis: Perform exploratory data analysis to understand underlying patterns, correlations and trends. Develop comprehensive data processing pipelines to prepare large datasets for analysis and modeling. Generative AI: Employ Generative AI techniques to create new data points, enhance content generation and innovate within the field of synthetic data production. Collaborative Development: Work with cross-functional teams to integrate AI capabilities into products and systems. Ensure that all AI solutions are aligned with business goals and user needs. Research and Innovation: Stay updated with the latest developments in AI, ML, DL, CV and NLP. Explore new technologies and methodologies that can impact our products and services positively. Communication: Effectively communicate complex quantitative analysis in a clear, precise and actionable manner to senior management and other departments. Required Skills and Qualifications: Education: BE or Master’s or PhD in Computer Science, Data Science, Statistics or a related field. Experience: 5 to 7 years of relevant experience in a data science role with a strong focus on ML, DL and statistical modeling. Technical Skills: Strong coding skills in Python, including experience with Flask or FastAPI. Proficiency in ML, DL frameworks (e.g., PyTorch, TensorFlow), CV (e.g., OpenCV) and NLP libraries (e.g., NLTK, spaCy). Generative AI: Experience with generative models such as GANs, VAEs or Transformers. Deployment Skills: Experience with Docker, Kubernetes and continuous integration/continuous deployment (CI/CD) pipelines. Strong Analytical Skills: Ability to translate complex data into actionable insights. Communication: Excellent written and verbal communication skills. Certifications: Certifications in Data Science, ML or AI from recognized institutions is added advantage. Location: Hyderabad, Mumbai, Bangalore and Chennai ⚠️ Disclaimer: Firstsource follows a fair, transparent, and merit-based hiring process. We never ask for money at any stage. Beware of fraudulent offers and always verify through our official channels or @firstsource.com email addresses.

Company Description At Nielsen, we are passionate about our work to power a better media future for all people by providing powerful insights that drive client decisions and deliver extraordinary results. Our talented, global workforce is dedicated to capturing audience engagement with content - wherever and whenever it’s consumed. Together, we are proudly rooted in our deep legacy as we stand at the forefront of the media revolution. When you join Nielsen, you will join a dynamic team committed to excellence, perseverance, and the ambition to make an impact together. We champion you, because when you succeed, we do too. We enable your best to power our future. Job Description Responsibilities: Research, design, develop, implement and test econometric, statistical, optimization and machine learning models. Design, write and test modules for Nielsen analytics platforms using Python, R, SQL and/or Spark. Utilize advanced computational/statistics libraries including Spark MLlib, Scikit-learn, SciPy, StatsModels. Collaborate with cross functional Data Science, Product, and Technology teams to integrate best practices from across the organization Provide leadership and guidance for the team in the of adoption of new tools and technologies to improve our core capabilities Execute and refine the roadmap to upgrade the modeling/forecasting/control functions of the team to improve upon the core service KPI’s Ensure product quality, stability, and scalability by facilitating code reviews and driving best practices like modular code, unit tests, and incorporating CI/CD workflows Explain complex data science (e.g. model-related) concepts in simple terms to non-technical internal and external audiences Qualifications Key Skills: 5+ years of professional work experience in Statistics, Data Science, and/or related disciplines, with focus on delivering analytics software solutions in a production environment Strong programming skills in Python with experience in NumPy, Pandas, SciPy and Scikit-learn. Hands-on experience with deep learning frameworks (PyTorch, TensorFlow, Keras). Solid understanding of Machine learning domains such as Computer Vision, Natural Language Processing and classical Machine Learning. Proficiency in SQL and NoSQL databases for large-scale data manipulation Experience with cloud-based ML services (AWS SageMaker, Databricks, GCP AI, Azure ML). Knowledge of model deployment (FastAPI, Flask, TensorRT, ONNX) MLOps tools (MLflow, Kubeflow, Airflow) and containerization. Preferred skills: Understanding of LLM fine-tuning, tokenization, embeddings, and multimodal learning. Familiarity with vector databases (FAISS, Pinecone) and retrieval-augmented generation (RAG). Familiarity with advertising intelligence, recommender systems, and ranking models. Knowledge of CI/CD for ML workflows, and software development best practices. Additional Information Please be aware that job-seekers may be at risk of targeting by scammers seeking personal data or money. Nielsen recruiters will only contact you through official job boards, LinkedIn, or email with a nielsen.com domain. Be cautious of any outreach claiming to be from Nielsen via other messaging platforms or personal email addresses. Always verify that email communications come from an @nielsen.com address. If you're unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels.

Python + FastAPI + Angular / React + GenAI (Exposure) Job Type: Full-time Location Type: In-person Experience: Python ,React,Fast API: 5 years (Required) Location: Bengaluru, Karnataka (Required) Work Location: In person

Job Description You were made to do this work: designing new technologies, diving into data, optimizing digital experiences, and constantly developing better, faster ways to get results. You want to be part of a performance culture dedicated to building technology for a purpose that matters. You want to work in an environment that promotes sustainability, inclusion, wellbeing, and career development. In this role, you’ll help us deliver better care for billions of people around the world. It starts with YOU. In this role, you will: We’re hiring a Gen AI Engineer to prototype, optimise and integrate LLM-powered Agentic AI solutions for sales, marketing and supply-chain cases. You’ll deliver assistants and tools that plan, reason, access tools and execute tasks—using Azure AI Foundry and modern orchestration frameworks. Key Responsibilities Build intelligent systems where LLM-driven agents plan, reason and achieve complex business tasks. Implement agentic flows with LangChain Agents, LangGraph, Autogen or CrewAI. Develop RAG & embedding pipelines using Azure AI Foundry and vector search (Pinecone, FAISS, Chroma, Weaviate). Contribute to solutions in summarisation, personalisation, content automation and decision support. Ensure logging, evaluation, fine-tuning, versioning and Responsible AI practices. Collaborate with data, product and engineering peers to embed AI into workflows. About Us Huggies®. Kleenex®. Cottonelle®. Scott®. Kotex®. Poise®. Depend®. Kimberly-Clark Professional®. You already know our legendary brands—and so does the rest of the world. In fact, millions of people use Kimberly-Clark products every day. We know these amazing Kimberly-Clark products wouldn’t exist without talented professionals, like you. At Kimberly-Clark, you’ll be part of the best team committed to driving innovation, growth and impact. We’re founded on more than 150 years of market leadership, and we’re always looking for new and better ways to perform – so there’s your open door of opportunity. It’s all here for you at Kimberly-Clark. Led by Purpose. Driven by You. About You You perform at the highest level possible, and you appreciate a performance culture fueled by authentic caring. You want to be part of a company actively dedicated to sustainability, inclusion, wellbeing, and career development. You love what you do, especially when the work you do makes a difference. At Kimberly-Clark, we’re constantly exploring new ideas on how, when, and where we can best achieve results. When you join our team, you’ll experience Flex That Works: flexible (hybrid) work arrangements that empower you to have purposeful time in the office and partner with your leader to make flexibility work for both you and the business. In one of our technical roles, you’ll focus on winning with consumers and the market, while putting safety, mutual respect, and human dignity at the center. To succeed in this role, you will need the following qualifications: Python • FastAPI • REST APIs • Prompt engineering • Retrieval-Augmentation Azure AI Foundry / Azure AI Services • OpenAI & Hugging Face APIs Agent orchestration (LangChain, LangGraph, Autogen, CrewAI) Vector DBs (Pinecone, FAISS, Chroma, Weaviate) Experiment tracking & evaluation tools (Weights & Biases, Prompt Flow) Soft Skills: Fast learner & highly adaptive • Strong analytical mindset • Team-oriented communicator • Comfortable with ambiguity • Detail-driven documentation • Passion for autonomous AI assistants Education: Masters or Bachelors in Computer Science, AI, or a related field. Experience: 5+ years in Gen AI, AI model development, with a focus on generative models. To Be Considered Click the Apply button and complete the online application process. A member of our recruiting team will review your application and follow up if you seem like a great fit for this role. In the meantime, please check out the careers website. And finally, the fine print…. For Kimberly-Clark to grow and prosper, we must be an inclusive organization that applies the diverse experiences and passions of its team members to brands that make life better for people all around the world. We actively seek to build a workforce that reflects the experiences of our consumers. When you bring your original thinking to Kimberly-Clark, you fuel the continued success of our enterprise. We are a committed equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation, gender identity, age, pregnancy, genetic information, citizenship status, or any other characteristic protected by law. The statements above are intended to describe the general nature and level of work performed by employees assigned to this classification. Statements are not intended to be construed as an exhaustive list of all duties, responsibilities and skills required for this position. Employment is subject to verification of pre-screening tests, which may include drug screening, background check, and DMV check. #LI-Hybrid .

Job Title: Python Developer – Generative AI Location: Bangalore (Night Shift) Experience: 4+ Years Shift: Night Shift Employment Type: Full-Time About the Role We are seeking an experienced and innovative Python Developer with expertise in Generative AI to work in a night shift capacity. You will design, develop, and deploy intelligent AI-powered systems using cutting-edge LLMs and generative models. The ideal candidate thrives in fast-paced environments and is passionate about leveraging AI to solve real-world problems. Key Responsibilities Build and maintain Python-based APIs and backends integrated with Generative AI models. Work with large language models (e.g., GPT, Claude, LLaMA) and image/audio generation tools (e.g., DALL·E, Stable Diffusion). Implement prompt engineering, fine-tuning, and model deployment pipelines. Collaborate with global teams during night shift hours to develop scalable AI features. Deploy models using FastAPI, Flask, Docker, or cloud platforms. Optimize model performance for latency, accuracy, and scalability. Ensure testing, monitoring, and documentation of AI integrations. Required Skills 4+ years of Python development experience. 1+ years of hands-on experience with Generative AI tools and models. Strong knowledge of PyTorch, TensorFlow, Hugging Face, LangChain, or OpenAI API. Experience with deployment (Docker, FastAPI), and model inference in production. Familiarity with vector databases (FAISS, Pinecone, Weaviate). Preferred Skills Experience with GPU-based training or inference. Exposure to MLOps tools like MLflow, Airflow, or Kubeflow. Understanding of AI ethics, model safety, and bias mitigation. Contributions to open-source GenAI or ML projects. Job Types: Full-time, Permanent Pay: ₹1,089,300.86 - ₹1,660,283.26 per year Benefits: Health insurance Provident Fund Schedule: Night shift Work Location: In person

Key Responsibilities: Develop responsive front-end applications using Vue.js Build and maintain backend APIs using Python (Flask/Django) Integrate RESTful APIs with frontend components Optimize applications for maximum speed and scalability Work closely with UI/UX designers and DevOps engineers Write clean, maintainable, and scalable code Implement security and data protection measures Debug and troubleshoot issues in a timely manner Job Types: Full-time, Permanent, Fresher Pay: ₹500,000.00 per year Schedule: Day shift Experience: Full-stack development Vue.js and Pythone: 3 years (Required) Vue.js, JavaScript , HTML5 , CSS3,UI: 3 years (Required) Python , API Development,FastAPI ,Flask , : 3 years (Required) Basic SQL, Data modeling integration: 3 years (Required) Work Location: In person

Key Responsibilities 1. Designing technology systems: Plan and design the structure of technology solutions, and work with design and development teams to assist with the process. 2. Communicating: Communicate system requirements to software development teams, and explain plans to developers and designers. They also communicate the value of a solution to stakeholders and clients. 3. Managing Stakeholders: Work with clients and stakeholders to understand their vision for the systems. Should also manage stakeholder expectations. 4. Architectural Oversight: Develop and implement robust architectures for AI/ML and data science solutions, ensuring scalability, security, and performance. Oversee architecture for data-driven web applications and data science projects, providing guidance on best practices in data processing, model deployment, and end-to-end workflows. 5. Problem Solving: Identify and troubleshoot technical problems in existing or new systems. Assist with solving technical problems when they arise. 6. Ensuring Quality: Ensure if systems meet security and quality standards. Monitor systems to ensure they meet both user needs and business goals. 7. Project management: Break down project requirements into manageable pieces of work, and organise the workloads of technical teams. 8. Tool & Framework Expertise: Utilise relevant tools and technologies, including but not limited to LLMs, TensorFlow, PyTorch, Apache Spark, cloud platforms (AWS, Azure, GCP), Web App development frameworks and DevOps practices. 9. Continuous Improvement: Stay current on emerging technologies and methods in AI, ML, data science, and web applications, bringing insights back to the team to foster continuous improvement. Technical Skills 1. Proficiency in AI/ML frameworks such as TensorFlow, PyTorch, Keras, and scikit-learn for developing machine learning and deep learning models. 2. Knowledge or experience working with self-hosted or managed LLMs. 3. Knowledge or experience with NLP tools and libraries (e.g., SpaCy, NLTK, Hugging Face Transformers) and familiarity with Computer Vision frameworks like OpenCV and related libraries for image processing and object recognition. 4. Experience or knowledge in back-end frameworks (e.g., Django, Spring Boot, Node.js, Express etc.) and building RESTful and GraphQL APIs. 5. Familiarity with microservices, serverless, and event-driven architectures. Strong understanding of design patterns (e.g., Factory, Singleton, Observer) to ensure code scalability and reusability. 6. Proficiency in modern front-end frameworks such as React, Angular, or Vue.js, with an understanding of responsive design, UX/UI principles, and state management (e.g., Redux) 7. In-depth knowledge of SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra), as well as caching solutions (e.g., Redis, Memcached). 8. Expertise in tools such as Apache Spark, Hadoop, Pandas, and Dask for large-scale data processing. 9. Understanding of data warehouses and ETL tools (e.g., Snowflake, BigQuery, Redshift, Airflow) to manage large datasets. 10. Familiarity with visualisation tools (e.g., Tableau, Power BI, Plotly) for building dashboards and conveying insights. 11. Knowledge of deploying models with TensorFlow Serving, Flask, FastAPI, or cloud-native services (e.g., AWS SageMaker, Google AI Platform). 12. Familiarity with MLOps tools and practices for versioning, monitoring, and scaling models (e.g., MLflow, Kubeflow, TFX). 13. Knowledge or experience in CI/CD, IaC and Cloud Native toolchains. 14. Understanding of security principles, including firewalls, VPC, IAM, and TLS/SSL for secure communication. 15. Knowledge of API Gateway, service mesh (e.g., Istio), and NGINX for API security, rate limiting, and traffic management.

Job Title: Python Developer (1-4 Years Experience) Location: Full-Time (On-Site), GOHASHINCLUDE PRIVATE LIMITED Nirman Nagar E, P.No.-31, 1st Floor, Shree Krishna Tower, Ajmer Road, Opp. Asopa Hospital, Jaipur, Rajasthan – 302024. Google Form Link: Before proceeding further with your application, we kindly request you to fill out the following form with your basic details: https://forms.gle/KfzevYscowzfeQNL7 Key Responsibilities: Backend Development: Design, develop, and maintain scalable backend systems using Python (Django/Flask). Build RESTful APIs for web and mobile applications. Optimize application performance, security, and responsiveness. AI/ML Integration: Work on machine learning model development and deployment. Implement data pipelines and integrate ML models into production environments. Collaborate on AI-driven solutions like recommendation engines, data analysis tools, or chatbots. Database & Cloud: Design and manage databases using PostgreSQL, MySQL, or MongoDB. Experience with cloud platforms (AWS, Azure, GCP) is a plus. Version control using Git and deployment experience on Linux environments. Collaboration & Documentation: Work closely with frontend, design, and product teams to meet project goals. Write clean, maintainable code and proper technical documentation. Participate in code reviews and knowledge-sharing sessions. Required Skills & Qualifications: 1 to 4 years of professional experience in Python-based development. Proficient in Django and/or Flask frameworks. Strong understanding of OOPs, REST API design, and MVC architecture. Hands-on experience in AI/ML projects (using libraries like scikit-learn, TensorFlow, or PyTorch). Working knowledge of Git, Docker, and deployment practices. Good problem-solving skills and the ability to work independently. Good to Have (Optional): Exposure to FastAPI or Celery. Familiarity with DevOps tools (CI/CD pipelines, Docker). Experience with NLP, computer vision, or data analytics. Understanding of frontend basics (HTML, JS) for API testing and integration. Employment Type: Full-Time (On-Site) — Monday to Friday (Flexible Hours) How to Apply: Send your updated resume to hr@gohashinclude.com Subject Line: “Application for Python Developer | [Your Name]” Job Type: Full-time Pay: ₹20,000.00 - ₹35,000.00 per month Benefits: Flexible schedule Paid time off Location Type: In-person Schedule: Day shift Monday to Friday Experience: Django: 2 years (Required) Flask: 2 years (Required) AI: 2 years (Required) ML: 2 years (Required) Python: 2 years (Required) Back-end development: 2 years (Required) Node.js: 2 years (Preferred) React: 2 years (Preferred) MongoDB: 2 years (Preferred) Work Location: In person Expected Start Date: 01/07/2025

Job Description We aim to bring about a new paradigm in medical image diagnostics; providing intelligent, holistic, ethical, explainable and patient centric care. We are looking for innovative problem solvers who love solving problems. We want people who can empathize with the consumer, understand business problems, and design and deliver intelligent products. People who are looking to extend artificial intelligence into unexplored areas. Your primary focus will be in applying deep learning and artificial intelligence techniques to the domain of medical image analysis. Responsibilities Selecting features, building and optimizing classifier engines using deep learning techniques. Understanding the problem and applying the suitable image processing techniques Use techniques from artificial intelligence/deep learning to solve supervised and unsupervised learning problems. Understanding and designing solutions for complex problems related to medical image analysis by using Deep Learning/Object Detection/Image Segmentation. Recommend and implement best practices around the application of statistical modeling. Create, train, test, and deploy various neural networks to solve complex problems. Develop and implement solutions to fit business problems which may include applying algorithms from a standard statistical tool, deep learning or custom algorithm development. Understanding the requirements and designing solutions and architecture in accordance with them. Participate in code reviews, sprint planning, and Agile ceremonies to drive high-quality deliverables. Design and implement scalable data science architectures for training, inference, and deployment pipelines. Ensure code quality, readability, and maintainability by enforcing software engineering best practices within the data science team. Optimize models for production, including quantization, pruning, and latency reduction for real-time inference. Drive the adoption of versioing strategies for models, datasets, and experiments (e.g., using MLFlow, DVC). Contribute to the architectural design of data platforms to support large-scale experimentation and production workloads. Skills and Qualifications Strong software engineering skills in Python (or other languages used in data science) with emphasis on clean code, modularity, and testability. Excellent understanding and hands-on of Deep Learning techniques such as ANN, CNN, RNN, LSTM, Transformers, VAEs etc. Must have experience with Tensorflow or PyTorch framework in building, training, testing, and deploying neural networks. Experience in solving problems in the domain of Computer Vision. Knowledge of data, data augmentation, data curation, and synthetic data generation. Ability to understand the complete problem and design the solutions that best fit all the constraints. Knowledge of the common data science and deep learning libraries and toolkits such as Keras, Pandas, Scikit-learn, Numpy, Scipy, OpenCV etc. Good applied statistical skills, such as distributions, statistical testing, regression, etc. Exposure to Agile/Scrum methodologies and collaborative development practices. Experience with the development of RESTful APIs. The knowledge of libraries like FastAPI and the ability to apply it to deep learning architectures is essential. Excellent analytical and problem-solving skills with a good attitude and keen to adapt to evolving technologies. Experience with medical image analysis will be an advantage. Experience designing and building ML architecture components (e.g., feature stores, model registries, inference servers). Solid understanding of software design patterns, microservices, and cloud-native architectures. Expertise in model optimization techniques (e.g., ONNX conversion, TensorRT, model distillation) Education: BE/B Tech MS/M Tech (will be a bonus) Experience: 3-5 Years

🚀 Job Title: AI Engineer (Full Stack / Model Deployment Specialist) Location: Remote (India preferred) Type: Full-Time (6-Month Fixed Contract) Experience Level: 1+ Years Salary: Competitive (based on experience) Potential: High-performing candidates may be offered a permanent role after the contract 🧩 About Us We are a dynamic collaboration between Funding Bay , Effer Ventures , and FBX Capital Partners, three industry leaders combining forces to deliver financial, compliance, and strategic growth solutions to businesses across the UK. We’re looking for an AI Engineer who can bridge the gap between machine learning and production-ready applications. If you love optimizing models, deploying them in real-world environments, and know your way around modern web stacks, this role is for you. 🔧 What You’ll Do End-to-End Ownership of ML Models: From training and evaluation to optimization and deployment. Deploy ML Models using AWS services (EC2, Lambda, S3, SageMaker, or custom Docker setups). Optimize Model Performance: Ensure fast inference, low memory usage, and high-quality results. Integrate AI into MERN Stack Applications: Build APIs and interfaces to expose your models to the frontend. Collaborate Cross-Functionally with frontend, product, and design teams. Build scalable and secure pipelines for data ingestion, model serving, and monitoring. Optimize for Speed & Usability : Ensure both backend inference and frontend UI are responsive and seamless. ✅ What We’re Looking For Proficient in MERN Stack (MongoDB, Express.js, React, Node.js) Strong Python skills , especially for AI/ML (NumPy, Pandas, scikit-learn, TensorFlow or PyTorch etc) Hands-on with Model Optimization : Quantization, pruning, distillation, or ONNX deployment is a plus Solid AWS Experience: EC2, S3, IAM, Lambda, API Gateway, CloudWatch, etc. Experience with Docker & CI/CD pipelines (e.g., GitHub Actions, Jenkins) Comfortable building and consuming REST/GraphQL APIs Familiar with ML deployment tools like FastAPI, Flask, TorchServe, or SageMaker endpoints Good understanding of performance profiling, logging, and model monitoring ⭐ Nice to Have Experience with LangChain , LLMs , or NLP pipelines Startup or fast-paced team background Open-source contributions or live-deployed AI projects 🌱 Why Join Us? Build & deploy real AI products that go live Work in a growth-focused, high-ownership environment 6-month contract with the potential for a Permanent full-time Flexible work culture & flat hierarchy Learn fast and build faster with founders and builders Take ownership of core parts of the AI stack Competitive compensation based on experience 📬 To Apply Send us: Your resume A link to your GitHub or portfolio A short paragraph about a project where you deployed an optimized AI model 📧 Email: developer@fundingbay.co.uk or directly apply

Location : Hyderabad (On-Site) Notice Period : 15 Days to Immediate Experience : 3 to 5 Years Job Summary We are looking for a skilled and enthusiastic Full Stack Developer with strong expertise in React.js for frontend development and Python (preferably with Django/Flask) for backend development. The ideal candidate will play a key role in building modern, scalable web applications and APIs. Key Responsibilities Frontend (React.js) : Develop responsive, high-performance web applications using React.js and related technologies (Redux, Hooks, etc.). Translate UI/UX designs into interactive user interfaces. Optimize components for maximum speed and scalability. Implement and maintain reusable components and front-end libraries. Backend (Python) Design and develop RESTful APIs using Python (Django/Flask/FastAPI). Handle integration of user-facing elements developed by front-end developers with server-side logic. Work with databases (SQL/NoSQL) such as PostgreSQL, MySQL, MongoDB. Implement security and data protection measures. General Participate in code reviews, design discussions, and agile ceremonies. Write clean, maintainable, and well-documented code. Collaborate with cross-functional teams including product, design, and QA. Troubleshoot, test, and maintain the core product software and databases. Required Skills React.js, JavaScript (ES6+), HTML5, CSS3 Strong experience with Python and one or more web frameworks (Django, Flask, FastAPI) RESTful API development and integration Git/GitHub or other version control tools Familiarity with containerization (Docker), CI/CD pipelines Database experience – SQL and NoSQL (e.g., PostgreSQL, MongoDB) Preferred Skills Familiarity with GraphQL, WebSockets Experience with unit testing (Jest, PyTest, etc.) Basic knowledge of cloud platforms (AWS, Azure, GCP) Understanding of Agile methodologies Skills: html5,ci/cd,react,css3,postgresql,restful api development,components,react.js,fastapi,full stack development,mongodb,code,django,docker,javascript (es6+),agile,flask,design,python,git/github

We are seeking a passionate AI/ML Engineer to join our team in building the core AI-driven functionality an intelligent visual data encryption system. The role involves designing, training, and deploying AI models (e.g., CLIP, DCGANs, Decision Trees), integrating them into a secure backend, and operationalizing the solution via AWS cloud services and Python-based APIs. Key Responsibilities: AI/ML Development Design and train deep learning models for image classification and sensitivity tagging using CLIP, DCGANs, and Decision Trees. Build synthetic datasets using DCGANs for balancing. Fine-tune pre-trained models for customized encryption logic. Implement explainable classification logic for model outputs. Validate model performance using custom metrics and datasets. API Development Design and develop Python RESTful APIs using FastAPI or Flask for: Image upload and classification Model inference endpoints Encryption trigger calls Integrate APIs with AWS Lambda and Amazon API Gateway. AWS Integration Deploy and manage AI models on Amazon SageMaker for training and real-time inference. Use AWS Lambda for serverless backend compute. Store encrypted image data on Amazon S3 and metadata on Amazon RDS (PostgreSQL). Use AWS Cognito for secure user authentication and KMS for key management. Monitor job status via CloudWatch and enable secure, scalable API access. Required Skills & Experience: Must-Have 3–5 years of experience in AI/ML (especially vision-based systems). Strong experience with PyTorch or TensorFlow for model development. Proficient in Python with experience building RESTful APIs. Hands-on experience with Amazon SageMaker, Lambda, API Gateway, and S3. Knowledge of OpenSSL/PyCryptodome or basic cryptographic concepts. Understanding of model deployment, serialization, and performance tuning. Nice-to-Have Experience with CLIP model fine-tuning. Familiarity with Docker, GitHub Actions, or CI/CD pipelines. Experience in data classification under compliance regimes (e.g., GDPR, HIPAA). Familiarity with multi-tenant SaaS design patterns. Tools & Technologies: Python, PyTorch, TensorFlow FastAPI, Flask AWS: SageMaker, Lambda, S3, RDS, Cognito, API Gateway, KMS Git, Docker, Postgres, OpenCV, OpenSSL

Job description Sr. Python Developer Quick Apply https://goodspace.ai/jobs/Sr.-Python-Developer?id=28338&source=campaign_Linkedin-Kritika_SrPythonDeveloper-28338 Prometteur Solutions Pvt Ltd Years of Experience- 5-10 Years LocationPune, Maharashtra, IndiaKey Skills: Elastic SearchS3Aws LambdaAws Api GatewayAWS amplifydynamoDBECSShieldSecrets Manager Job Description Key Responsibilities : ● Develop, maintain, and optimize server-side applications using Python and Django. ● Design and implement RESTful APIs to support front-end functionalities. ● Work with cloud platforms, specifically AWS, to manage and deploy applications. ● Collaborate with front-end developers to integrate user-facing elements with server-side logic. ● Optimize applications for maximum speed and scalability. ● Develop and maintain databases and data storage solutions. ● Troubleshoot and debug applications to ensure high-quality and performance standards. ● Implement security and data protection measures. ● Participate in code reviews and contribute to continuous improvement initiatives. ● Handle both synchronous and asynchronous programming tasks to improve application performance and responsiveness. Required Skills and Experience : ● 5-7 years of experience in backend development using Python and Django. ● Hands-on experience with AWS services, including EC2, S3, RDS, Lambda, and more. ● Strong understanding of web technologies such as HTTP, REST, and JSON. ● Experience with relational databases like PostgreSQL or MySQL and familiarity with ORM (Object Relational Mapping). ● Proficiency in designing and developing RESTful APIs. ● Familiarity with version control systems like Git. ● Experience with Continuous Integration/Continuous Deployment (CI/CD) tools and pipelines. ● Knowledge of best practices for software development, including code reviews, testing, and documentation. ● Strong problem-solving skills and ability to work independently and in a team environment. ● Good knowledge of Celery for managing asynchronous tasks and background jobs. ● Experience with Redis for caching and message brokering. ● Understanding of synchronous and asynchronous programming paradigms. Preferred Qualifications : ● Experience with containerization and orchestration tools like Docker and Kubernetes. ● Familiarity with microservices architecture and serverless computing Knowledge of other backend frameworks or languages such as Flask, FastAPI,Django ● Good to have : Understanding of front-end technologies (e.g., JavaScript, HTML, CSS) for better collaboration with front-end teams. ● Experience with Agile/Scrum methodologies. Technical Skills : 1. Dynamodb 2. API Gateway 3. Secrets Manager 4. s3 5. Lambda 6. Shield 7. ECS 8. Amplify 9. Cloudfront 10. RDS 11. OpenSearch (Elastic Search) Experience: 5+ years Quick Apply: https://goodspace.ai/jobs/Sr.-Python-Developer?id=28338&source=campaign_Linkedin-Kritika_SrPythonDeveloper-28338 Job Type: Full-time Pay: ₹1,200,000.00 - ₹1,800,000.00 per year Location Type: In-person Schedule: Day shift Ability to commute/relocate: Pune, Maharashtra: Reliably commute or planning to relocate before starting work (Preferred)

As a Workflow Developer, you will play a crucial role in designing, implementing, and optimizing workflows within our organization. Your focus will be on automating processes using AWS and Azure services. You will help guide the architecture and implement complex orchestration across global cloud platforms. A strong aptitude for continuous learning and rapidly implementing modern technologies is required. Additionally, this role requires a holistic view of architecture, applied development, operations, performance, security, and costs. You Will Collaborate with cross-functional teams to understand business requirements and translate them into efficient workflows. Design and implement workflows using Azure Function Apps, Workflow Tools and Azure DevOps Services. Leverage GitHub Actions, ADO Pipelines, Azure Functions, and other serverless technologies for event-driven workflows. Develop applications in a continuous code integration, testing and monitoring environment Improve testing automation framework and take ownership of writing unit and functional tests for all features delivered Optimize cloud native developed solutions for performance and cost efficiency. Monitor system performance, identify bottlenecks, and optimize workflows. Ensure security and compliance of AWS and Azure environments. Implement monitoring stacks for real-time insights Required What we are looking for: Experience in one or more development languages and frameworks such as NodeJS or Python Experience with modern development frameworks such as ExpressJS or FastAPI Experience building and implementing of RESTful APIs Knowledge of workflow automation systems such as n8n or node-red Knowledge of cloud providers (Azure, AWS or GCP) Working knowledge of message queuing technologies such as Redis, NATS, Kafka or Azure Service Bus The Nice To Haves Experience with API development. Experience with databases and/or document stores such as MySQL, Oracle, SQL Server, CosmosDB or MongoDB Experience with Networking and Security troubleshooting. Experience developing, deploying, and supporting Kubernetes orchestration. Experience with application deployment, operations, and support. Knowledge in software quality process/assurance including automated testing, design and code review, code profiling and continuous integration and deployment methodologies. Experience developing within a microservice architecture Experience with Jira, Confluence or other issue tracking software Experience with performance analysis and design. SAS only sends emails from verified “sas.com” email addresses and never asks for sensitive, personal information or money. If you have any doubts about the authenticity of any type of communication from, or on behalf of SAS, please contact Recruitingsupport@sas.com. #SAS

Work as part of the Automation Engineering team focused on delivering value by reducing manual efforts. Focus on automating internal services and improving internal customer experiences. Drive standards and best practices to ensure quality services and sustainability. Provide critical infrastructure automation and support for critical automation services. A fast-paced environment with shifting priorities to meet internal customer requirements. Primary Responsibilities For This Role Include Develops and maintains infrastructure-related automation spanning networking, services, and systems focus areas Creation of automation projects that follow REST methodologies Supports automation platforms and services Contributes to documentation efforts to enable quicker support and knowledge transfer Provides testing and quality assurance on automation applications Provides bug fixes and new feature development on projects Follows SDLC methodologies and team standards Additional Responsibilities Provides quality support to our internal customers Able to understand the difference between what is requested and how to fulfill a request Willingness to proactively improve processes and identify gaps in existing processes Participation in weekly code reviews Essential Knowledge, Skills, and Abilities: Bachelor's degree in computer science or related quantitative field Experience with Linux operating systems Knowledge of Python and Django, FastAPI or Flask Experience debugging and troubleshooting system interoperability Additional Experience creating, running, debugging containers and container orchestration platforms (Kubernetes, Rancher) Knowledge of Puppet, Ansible, and/or Terraform Knowledge of cloud technologies such as Microsoft Azure Strong verbal and written communication skills; intuitive thinking skills Ability to interface with an operating system, such as Windows, Mac OS and iOS and the respective editor; ability to write scripts Ability to train others Ability to work well under pressure Ability to work well with others and to problem-solve Ability to independently learn how to use new facilities quickly from supplied documentation Experience working with change management procedures Facilitation skills including meeting content/agenda and proactive/creative management of issues Ability to handle multiple projects at the same time Ability to manage projects and interface with employees of varying skillsets in a high-pressure environment SAS only sends emails from verified “sas.com” email addresses and never asks for sensitive, personal information or money. If you have any doubts about the authenticity of any type of communication from, or on behalf of SAS, please contact Recruitingsupport@sas.com. #SAS