1702 Fastapi Jobs - Page 4

🎯 What You’ll Do As a Founding Engineer , you’ll own core backend systems and DevOps infrastructure. You will work closely with the founding team to design scalable systems, ship features fast, and set the foundation for engineering culture and standards. Your key responsibilities: Architect, build, and maintain scalable backend services using Python (FastAPI/Django/Flask) Design and optimize relational ( PostgreSQL/MySQL ) and non-relational ( MongoDB/Redis ) data systems Set up and manage CI/CD pipelines, containerization, and cloud infrastructure ( AWS/GCP/Azure ) Implement observability (monitoring, logging, alerting) and security best practices Own deployments and ensure system reliability, availability, and performance Contribute to technical decision-making, product roadmap, and hiring Thrive in ambiguity, take initiative, and move fast with ownership 🛠️ Tech Stack Languages : Python (FastAPI preferred) Databases : PostgreSQL, MongoDB, Redis DevOps : Docker, Kubernetes (optional), GitHub Actions, Terraform Cloud : AWS (EC2, Lambda, S3, RDS, etc.) Infra Monitoring : Prometheus, Grafana, CloudWatch, etc. ✅ Requirements 5+ years of professional experience building backend systems Deep expertise in Python and experience designing scalable APIs Proficient in SQL and NoSQL databases Hands-on DevOps experience: CI/CD, infra as code, containerization Strong understanding of cloud infrastructure and performance optimization Entrepreneurial mindset with the ability to work independently and take ownership Bonus: Experience working in fast-paced startups or as an early team member 🌟 What’s in it for you? Be part of the core team shaping the product and company High ownership and the opportunity to build from scratch Attractive equity in a fast-scaling venture Flexible work environment and a deeply collaborative culture Show more Show less

Organization Snapshot: Birdeye is the leading all-in-one Experience Marketing platform , trusted by over 100,000+ businesses worldwide to power customer acquisition, engagement, and retention through AI-driven automation and reputation intelligence. From local businesses to global enterprises, Birdeye enables brands to deliver exceptional customer experiences across every digital touchpoint. As we enter our next phase of global scale and product-led growth , AI is no longer an add-on—it’s at the very heart of our innovation strategy . Our future is being built on Large Language Models (LLMs), Generative AI, Conversational AI, and intelligent automation that can personalize and enhance every customer interaction in real time. Job Overview: Birdeye is seeking a Senior Data Scientist – NLP & Generative AI to help reimagine how businesses interact with customers at scale through production-grade, LLM-powered AI systems . If you’re passionate about building autonomous, intelligent, and conversational systems , this role offers the perfect platform to shape the next generation of agentic AI technologies. As part of our core AI/ML team, you'll design, deploy, and optimize end-to-end intelligent systems —spanning LLM fine-tuning , Conversational AI , Natural Language Understanding (NLU) , Retrieval-Augmented Generation (RAG) , and Autonomous Agent frameworks . This is a high-impact IC role ideal for technologists who thrive at the intersection of deep NLP research and scalable engineering . Key Responsibilities: LLM, GenAI & Agentic AI Systems Architect and deploy LLM-based frameworks using GPT, LLaMA, Claude, Mistral, and open-source models. Implement fine-tuning , LoRA , PEFT , instruction tuning , and prompt tuning strategies for production-grade performance. Build autonomous AI agents with tool use , short/long-term memory , planning , and multi-agent orchestration (using LangChain Agents, Semantic Kernel, Haystack, or custom frameworks). Design RAG pipelines with vector databases ( Pinecone , FAISS , Weaviate ) for domain-specific contextualization. Conversational AI & NLP Engineering Build Transformer-based Conversational AI systems for dynamic, goal-oriented dialog—leveraging orchestration tools like LangChain, Rasa, and LLMFlow. Implement NLP solutions for semantic search , NER , summarization , intent detection , text classification , and knowledge extraction . Integrate modern NLP toolkits: SpaCy, BERT/RoBERTa, GloVe, Word2Vec, NLTK , and HuggingFace Transformers . Handle multilingual NLP, contextual embeddings, and dialogue state tracking for real-time systems. Scalable AI/ML Engineering Build and serve models using Python , FastAPI , gRPC , and REST APIs . Containerize applications with Docker , deploy using Kubernetes , and orchestrate with CI/CD workflows. Ensure production-grade reliability, latency optimization, observability, and failover mechanisms. Cloud & MLOps Infrastructure Deploy on AWS SageMaker , Azure ML Studio , or Google Vertex AI , integrating with serverless and auto-scaling services. Own end-to-end MLOps pipelines : model training, versioning, monitoring, and retraining using MLflow , Kubeflow , or TFX . Cross-Functional Collaboration Partner with Product, Engineering, and Design teams to define AI-first experiences. Translate ambiguous business problems into structured ML/AI projects with measurable ROI. Contribute to roadmap planning, POCs, technical whitepapers, and architectural reviews. Technical Skillset Required Programming : Expert in Python , with strong OOP and data structure fundamentals. Frameworks : Proficient in PyTorch , TensorFlow , Hugging Face Transformers , LangChain , OpenAI/Anthropic APIs . NLP/LLM : Strong grasp of Transformer architecture , Attention mechanisms , self-supervised learning , and LLM evaluation techniques . MLOps : Skilled in CI/CD tools, FastAPI , Docker , Kubernetes , and deployment automation on AWS/Azure/GCP . Databases : Hands-on with SQL/NoSQL databases, Vector DBs , and retrieval systems. Tooling : Familiarity with Haystack , Rasa , Semantic Kernel , LangChain Agents , and memory-based orchestration for agents. Applied Research : Experience integrating recent GenAI research (AutoGPT-style agents, Toolformer, etc.) into production systems. Bonus Points Contributions to open-source NLP or LLM projects. Publications in AI/NLP/ML conferences or journals. Experience in Online Reputation Management (ORM) , martech, or CX platforms. Familiarity with reinforcement learning , multi-modal AI , or few-shot learning at scale. Show more Show less

What You'll Do Design & build backend components of our MLOps platform in Python on AWS. Collaborate with geographically distributed cross-functional teams. Participate in on-call rotation with the rest of the team to handle production incidents. What You Know At least 3+ years of professional backend development experience with Python. Experience with web development frameworks such as Flask or FastAPI. Experience working with WSGI & ASGI web servers such as Gunicorn, Uvicorn etc. Experience with concurrent programming designs such as AsyncIO. Experience with containers (Docker) and container platforms like AWS ECS or AWS EKS Experience with unit and functional testing frameworks. Experience with public cloud platforms like AWS. Experience with CI/CD practices, tools, and frameworks. Nice to have skills Experience with Apache Kafka and developing Kafka client applications in Python. Experience with MLOps platorms such as AWS Sagemaker, Kubeflow or MLflow. Experience with big data processing frameworks, preferably Apache Spark. Experience with DevOps & IaC tools such as Terraform, Jenkins etc. Experience with various Python packaging options such as Wheel, PEX or Conda. Experience with metaprogramming techniques in Python. Education Bachelor’s degree in Computer Science, Information Systems, Engineering, Computer Applications, or related field. Benefits In addition to competitive salaries and benefits packages, Nisum India offers its employees some unique and fun extras: Continuous Learning - Year-round training sessions are offered as part of skill enhancement certifications sponsored by the company on an as need basis. We support our team to excel in their field. Parental Medical Insurance - Nisum believes our team is the heart of our business and we want to make sure to take care of the heart of theirs. We offer opt-in parental medical insurance in addition to our medical benefits. Activities -From the Nisum Premier League's cricket tournaments to hosted Hack-a-thon, Nisum employees can participate in a variety of team building activities such as skits, dances performance in addition to festival celebrations. Free Meals - Free snacks and dinner is provided on a daily basis, in addition to subsidized lunch. Show more Show less

About Nourma We're building the AI-powered finance operating system that transforms how companies manage their financial operations. Our Decision Intelligence platform combines LLMs, multi-agent systems, and real-time data integration to create an intelligent finance team The Role We're seeking an AI/ML Engineer with deep expertise in LangChain, LlamaIndex, PydanticAI, and modern Python frameworks to architect and build the core intelligence layer of Nourma. Key Responsibilities LLM Orchestration & RAG Development (LangChain/LlamaIndex/PydanticAI Focus) Architect complex LangChain pipelines for multi-agent financial workflows Build production RAG systems using LlamaIndex for financial document retrieval Implement agents with strong type safety and structured outputs Design and implement: Chain-of-thought reasoning for financial analysis Dynamic prompt routing based on query complexity Memory management for long-running financial conversations Tool integration for agents to access GL, bank feeds, and operational data Optimise token usage and response latency for real-time WhatsApp interactions API Development & Integration (FastAPI Focus) Build high-performance FastAPI services for: Agent-to-agent communication protocols WhatsApp webhook processing with sub-second response Real-time financial data APIs for frontend consumption Design GraphQL schemas for flexible financial data queries Implement WebSocket connections for live financial updates Create robust error handling and retry mechanisms for financial integrations Vector Database & Semantic Search (Chroma Focus) Design and optimise Chroma collections for: Financial document embeddings (loan agreements, invoices) Conversation history and context retrieval Business logic and rule storage Implement hybrid search combining vector similarity and metadata filtering Build embedding pipelines for various document types (PDFs, emails, chat logs) Infrastructure & Scalability Deploy and manage LLM applications. Implement Redis caching strategies for LLM responses and financial data Design microservices architecture for agent deployment Set up monitoring and observability for AI pipelines Technical Requirements Must Have - Core Technologies Expert-level proficiency in: LangChain : Custom chains, agents, tools, memory systems LlamaIndex : Document stores, indices, query engines PydanticAI : Agent frameworks, type-safe LLM interactions, structured outputs FastAPI : Async programming, dependency injection, middleware Strong experience with Python async/await patterns Production experience with Chroma or similar vector databases Proficiency with Redis for caching and session management Experience with data pipeline and storage tools (Kafka, Spark, Airflow) for building scalable systems Nice to Have Knowledge of PostgreSQL and BigQuery for analytical workloadsUnderstanding of financial data structures (journal entries, chart of accounts) Experience with financial APIs (QuickBooks, Xero, Plaid, banking APIs) Knowledge of data consistency requirements for financial systems GraphQL schema design and optimisation Experience with WhatsApp Business API Background in fintech or accounting software Tech Stack LLMs : GPT-4, Claude, open-source models ML/AI : LangChain, LlamaIndex, PydanticAI, PyTorch, Transformers Vector DB : Chroma Data : PostgreSQL, BigQuery, Apache Kafka, Spark, Airflow APIs : FastAPI, GraphQL Infrastructure : AWS/GCP, Kubernetes, Docker, Redis Monitoring : Prometheus, Grafana, OpenTelemetry What We Offer Work on cutting-edge problems combining LLMs with real-time financial data Build systems processing millions of financial transactions Direct impact on how thousands of companies manage finances Work directly with founders and shape technical direction  Ideal Candidate Profile You're excited about: Building production LangChain and PydanticAI applications at scale Creating high-performance APIs that power AI agents Designing scalable architectures for financial data processing Working with cutting-edge LLM technologies You've probably: Built production LangChain/LlamaIndex/PydanticAI applications serving 1000+ users Created FastAPI services handling high-throughput LLM requests Worked with vector databases in production environments Designed data processing pipelines for financial or similar domains Contributed to open-source AI/ML projects Show more Show less

Job Title: Enterprise Fullstack Architect About the Role: We are seeking an experienced and visionary Enterprise Fullstack Architect to lead the design and implementation of robust, scalable software solutions. This role demands comprehensive expertise in Python, FastAPI, React, Cloud Infrastructure, and AI/ML, with the ability to architect complete end-to-end solutions from frontend to backend and infrastructure. Responsibilities: Design, architect, and oversee the full lifecycle development of innovative enterprise-grade software solutions. Lead frontend development using React, ensuring intuitive and responsive user interfaces. Architect backend solutions leveraging Python and FastAPI for high-performance API development. Integrate and deploy sophisticated AI/ML models into scalable, production-ready software. Drive cloud architecture strategies and oversee deployments across AWS, Azure, or GCP. Establish coding standards, enforce best practices, and ensure high-quality, maintainable codebases. Collaborate closely with engineering, product, and AI teams to guarantee seamless integration and optimal functionality. Qualifications: Extensive fullstack development and architecture experience, especially with Python, React, and FastAPI. Demonstrated expertise in architecting and deploying production-grade AI/ML-driven applications. Proven leadership in managing cloud infrastructure on AWS, Azure, or GCP. Solid proficiency with containerization (Docker, Kubernetes), CI/CD pipelines, and agile methodologies. Entrepreneurial spirit with experience in high-growth or startup environments preferred. What We Offer: High-impact founding role with significant autonomy and responsibility. Opportunity to architect and drive the technology strategy from the ground up. Substantial equity. Collaborative, innovative, and rapidly growing team culture. Show more Show less

Job Title: Artificial Intelligence Engineer Company: Humanoid Maker Location: Delhi Type: Full-Time Experience: 1–5 years Industry: Artificial Intelligence / Software Development / Robotics About Us: Humanoid Maker is a fast-growing innovator in AI, robotics, and automation solutions. We specialize in AI-powered software, robotic kits, refurbished IT hardware, and technology services that empower startups, businesses, and institutions across India. Our mission is to build intelligent systems that simplify lives and boost productivity. Role Overview: We are looking for a skilled and creative Artificial Intelligence Engineer to join our AI development team. This role involves building, training, and deploying machine learning models for various use cases including voice synthesis, natural language processing, computer vision, and robotics integration. Key Responsibilities: Develop, train, and fine-tune machine learning and deep learning models for real-world applications. Work on projects related to NLP, speech recognition, voice cloning, and robotic intelligence. Build APIs and tools to integrate AI features into applications and hardware systems. Optimize models for performance and deploy them in edge, desktop, or server environments. Collaborate with UI/UX and backend developers for full-stack AI system integration. Conduct data preprocessing, feature engineering, and dataset management. Continuously research and experiment with the latest AI advancements. Key Skills & Requirements: Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related field. 1–5 years of hands-on experience in developing AI/ML models. Strong knowledge of Python, PyTorch, TensorFlow, scikit-learn, etc. Experience with NLP libraries (e.g., Hugging Face Transformers, spaCy), and/or CV frameworks (OpenCV, YOLO). Familiarity with APIs, web frameworks (Flask/FastAPI), and databases (SQL or NoSQL). Bonus: Experience in robotics integration or embedded AI (Arduino/Raspberry Pi). What We Offer: Competitive salary based on experience. Opportunity to work on cutting-edge AI and robotics projects. Friendly and innovative team environment. Career growth in a rapidly expanding AI company. Access to high-performance computing tools and training resources. Job Types: Full-time, Permanent Pay: ₹10,000.00 - ₹50,000.00 per month Benefits: Paid sick time Supplemental Pay: Commission pay Overtime pay Performance bonus Yearly bonus Education: Bachelor's (Required) Experience: AI: 1 year (Required) Language: Hindi (Required) Work Location: In person

Job Title: Python Software Developer Trainee Location: Remote Job Type: Internship (Full-Time) Duration: 1–3 Months Stipend: ₹25,000/month Department: Software Development Job Summary: We are looking for a passionate and detail-oriented Python Software Developer Trainee to join our remote development team. This internship offers hands-on experience in software development using Python and is ideal for candidates who want to work on real-world applications and sharpen their back-end or full-stack development skills. Key Responsibilities: Write clean, maintainable, and efficient Python code Assist in developing and maintaining server-side logic and APIs Work with databases (SQL or NoSQL) for data storage and retrieval Support integration of user-facing elements with server-side logic Debug, test, and optimize code for performance and scalability Collaborate with team members on project planning, documentation, and deployment Qualifications: Bachelor’s degree (or final year student) in Computer Science, Software Engineering, or a related field Solid foundation in Python and object-oriented programming Basic understanding of web frameworks (e.g., Flask, Django, FastAPI) Familiarity with RESTful APIs and database systems Strong problem-solving skills and attention to detail Ability to work independently in a remote setup Preferred Skills (Nice to Have): Experience with Git and version control Exposure to front-end technologies (HTML, CSS, JavaScript) Familiarity with Docker, cloud services, or CI/CD pipelines Understanding of testing frameworks (e.g., pytest, unittest) What We Offer: Monthly stipend of ₹25,000 Remote work flexibility Real-world development experience and projects Mentorship and code reviews from senior developers Certificate of Completion Opportunity for a full-time role based on performance Show more Show less

About the Role : We are seeking a highly skilled Senior AI/ML Engineer to join our dynamic team. The ideal candidate will have extensive experience in designing, building, and deploying machine learning models and AI solutions to solve real-world business challenges. You will collaborate with cross-functional teams to create and integrate AI/ML models into end-to-end applications, ensuring models are accessible through APIs or product interfaces for real-time usage. Responsibilities Lead the design, development, and deployment of machine learning models for various use cases such as recommendation systems, computer vision, natural language processing (NLP), and predictive analytics. Work with large datasets to build, train, and optimize models using techniques such as classification, regression, clustering, and neural networks. Fine-tune pre-trained models and develop custom models based on specific business needs. Collaborate with data engineers to build scalable data pipelines and ensure the smooth integration of models into production. Collaborate with frontend/backend engineers to build AI-driven features into products or platforms. Build proof-of-concept or production-grade AI applications and tools with intuitive UIs or workflows. Ensure scalability and performance of deployed AI solutions within the full application stack. Implement model monitoring and maintenance strategies to ensure performance, accuracy, and continuous improvement of deployed models. Design and implement APIs or services that expose machine learning models to frontend or other systems Utilize cloud platforms (AWS, GCP, Azure) to deploy, manage, and scale AI/ML solutions. Stay up-to-date with the latest advancements in AI/ML research, and apply innovative techniques to improve existing systems. Communicate effectively with stakeholders to understand business requirements and translate them into AI/ML-driven solutions. Document processes, methodologies, and results for future reference and reproducibility. Required Skills & Qualifications Experience : 5+ years of experience in AI/ML engineering roles, with a proven track record of successfully delivering machine learning projects. AI/ML Expertise : Strong knowledge of machine learning algorithms (supervised, unsupervised, reinforcement learning) and AI techniques, including NLP, computer vision, and recommendation systems. Programming Languages : Proficient in Python and relevant ML libraries such as TensorFlow, PyTorch, Scikit-learn, and Keras. Data Manipulation : Experience with data manipulation libraries such as Pandas, NumPy, and SQL for managing and processing large datasets. Model Development : Expertise in building, training, deploying, and fine-tuning machine learning models in production environments. Cloud Platforms : Experience with cloud platforms such as AWS, GCP, or Azure for the deployment and scaling of AI/ML models. MLOps : Knowledge of MLOps practices for model versioning, automation, and monitoring. Data Preprocessing : Proficient in data cleaning, feature engineering, and preparing datasets for model training. Strong experience building and deploying end-to-end AI-powered applications— not just models but full system integration. Hands-on experience with Flask, FastAPI, Django, or similar for building REST APIs for model serving. Understanding of system design and software architecture for integrating AI into production environments. Experience with frontend/backend integration (basic React/Next.js knowledge is a plus). Demonstrated projects where AI models were part of deployed user-facing applications. NLP & Computer Vision: Hands-on experience with natural language processing or computer vision projects. Big Data: Familiarity with big data tools and frameworks (e.g., Apache Spark, Hadoop) is an advantage. Problem-Solving Skills: Strong analytical and problem-solving abilities, with a focus on delivering practical AI/ML solutions. Nice to Have Experience with deep learning architectures (CNNs, RNNs, GANs, etc.) and techniques. Knowledge of deployment strategies for AI models using APIs, Docker, or Kubernetes. Experience building full-stack applications powered by AI (e.g., chatbots, recommendation dashboards, AI assistants, etc.). Experience deploying AI/ML models in real-time environments using API gateways, microservices, or orchestration tools like Docker and Kubernetes. Solid understanding of statistics and probability. Experience working in Agile development environments. What You'll Gain Be part of a forward-thinking team working on cutting-edge AI/ML technologies. Collaborate with a diverse, highly skilled team in a fast-paced environment. Opportunity to work on impactful projects with real-world applications. Competitive salary and career growth opportunities Job Type: Full-time Pay: ₹1,000,000.00 - ₹1,200,000.00 per year Schedule: Day shift Fixed shift Work Location: In person

Job Title: Python Developer Trainee Location: Remote Job Type: Internship (Full-Time) Duration: 1–3 Months Stipend: ₹25,000/month Department: Software Development Job Summary: We are seeking a passionate and detail-oriented Python Developer Trainee to join our remote development team. This internship is ideal for individuals looking to strengthen their backend development skills by working on real-world projects involving APIs, automation, and data-driven applications using Python. Key Responsibilities: Write clean, scalable, and efficient Python code Assist in developing backend components, services, and integrations Work with databases (SQL/NoSQL) for data storage and access Debug, test, and optimize code for performance and reliability Support the development and integration of APIs and web services Collaborate with senior developers on software design and architecture Qualifications: Bachelor’s degree (or final-year student) in Computer Science, Software Engineering, or a related field Strong understanding of Python fundamentals and object-oriented programming Familiarity with Python frameworks such as Flask, Django, or FastAPI Basic understanding of RESTful APIs and database operations Good problem-solving and logical thinking skills Ability to work independently in a remote environment Preferred Skills (Nice to Have): Experience with Git and version control tools Familiarity with Docker, cloud platforms, or CI/CD pipelines Knowledge of frontend basics (HTML, CSS, JavaScript) Understanding of testing frameworks (e.g., pytest, unittest) What We Offer: ₹25,000/month stipend 100% remote work Real-world experience in Python-based development projects Mentorship from experienced developers Certificate of Completion Opportunity for full-time placement based on performance Show more Show less

Lead India is is a IT Services. We’re passionate about building scalable, efficient, and elegant solutions. Our team is remote-first, collaborative, and fast-moving. Job Description: We are looking for a passionate Python Developer Intern to join our remote engineering team. You’ll work closely with our developers on real-world projects that involve backend development, data processing, automation scripts, or integrations. Key Responsibilities: Write clean, maintainable, and efficient Python code Assist in building and maintaining backend services, APIs, or automation tools Collaborate with senior developers and product team to understand project requirements Write unit tests and participate in code reviews Debug and resolve technical issues Learn and adapt quickly in a dynamic environment Required Skills: Solid understanding of Python (basic to intermediate level) Familiarity with at least one Python framework (e.g., Flask, Django, FastAPI) Knowledge of REST APIs and basic understanding of web services Experience with Git and version control systems Good problem-solving and communication skills Ability to work independently in a remote setting Nice to Have (Not Required): Experience with databases (SQL or NoSQL) Exposure to cloud platforms (e.g., AWS, GCP, Azure) Understanding of Docker or basic DevOps concepts Prior project or internship experience What You’ll Gain: Hands-on experience with real-world applications and scalable systems Opportunity to learn from experienced developers and mentors Flexible working hours and fully remote setup Certificate of Internship and Letter of Recommendation (based on performance) Potential for a full-time role upon successful completion You will get stipend upto 25,000/- per month. Show more Show less

Job Title: Senior Software Engineer – AI (Prompt Engineering & Full Stack) Location: Remote / United States / India Employment Type: Full-Time Product Stage: (Stealth Mode) AI Product Platform for Healthcare About Us: We’re a growing healthtech startup on a mission to disrupt the $500B+ US Healthcare Operations & Management space using cutting-edge AI tools. Our goal is to build a modern, intelligent platform that eliminates administrative waste and improves healthcare operations. We’re backed by the industry's best investors and SMEs, and we're building an elite team of engineers, designers, and domain experts. We are on a mission to help Clinicians and patients so that their administrative burden is simplified and the patients have the best outcomes. The Role: We’re looking for an experienced Software Engineer – AI who thrives in ambiguity, moves fast, and is passionate about applying AI (& concepts...) to solve real-world problems. You’ll play a foundational role in shaping both the product and the engineering culture. This role blends Prompt Engineering, LLM application design, and Full Stack Development to help build a next-generation healthcare intelligence engine to solve real-life problems for hospitals and health systems. What You’ll Do: Design and develop prompt architectures for LLM-based workflows Engineer and fine-tune prompt chains for optimal performance, accuracy, and reliability Collaborate with domain experts to understand the nuances of healthcare and translate them into intelligent AI interactions Develop and deploy secure, scalable full-stack features – from front-end UIs to back-end services and APIs Integrate AI capabilities into product workflows using tools like LangChain, OpenAI APIs, or open-source LLMs Work closely with the founding team to iterate quickly and bring the product to real-life operations Skills & Experience: Required: 5–7 years of experience in software engineering, ideally in AI or health-tech startups Strong grasp of Prompt Engineering for LLMs (e.g., GPT-4, Claude, Mistral, etc.) Experience with Full Stack Development using modern frameworks (e.g., React, Next.js, Node.js, Python, Flask, or FastAPI) Familiarity with AI tooling (LangChain, Pinecone, vector databases, etc.) Understanding of HIPAA and secure data handling practices Experience shipping production-grade code in a fast-paced, agile environment Good to have (+plus points) Knowledge of US Healthcare operations (e.g., CPT, ICD-10 codes, SNOMED, EDI 837/835, payer, provider workflows) Experience with healthcare data formats (HL7, FHIR, EDI) Experience with DevOps and cloud deployment (AWS/GCP/Azure) Why Join Us: Work on a mission-critical, AI-first product that impacts real healthcare outcomes Join at ground zero and shape the technical and product direction Competitive compensation, meaningful equity, and flexible work environment Build with the latest in AI – and solve problems the world hasn’t cracked yet If you’re excited to use AI to fix the broken healthcare machinery, contact us ASAP! Show more Show less

We're hiring a hands-on Backend Developer with strong experience in Python using Flask or FastAPI , JWT authentication , and MongoDB . The ideal candidate is skilled in building scalable REST APIs, and is comfortable working in Agile environments, preferably with experience in the BFSI domain . Key Skills: Python (Flask/FastAPI) REST API design & development JWT authentication MongoDB Git & Jenkins (CI/CD) Docker (containerization) Agile methodologies Experience in BFSI domain (preferred) Work Mode: Hybrid Join a dynamic team focused on building robust backend systems! Show more Show less

Job Title: Tech Lead Location: Gurugram (On-site) Employment Type: Full-Time About Aaizel Tech Labs Aaizel Tech Labs is a cutting-edge tech startup specializing in cybersecurity, AI, geospatial solutions, and more. We are at the forefront of technological innovation, committed to developing breakthrough products and solutions that drive industry transformation. Join our dynamic team and work directly with our CTO, contributing to strategic technical decisions and solving complex challenges. Role Overview We are seeking an experienced Tech Lead with a minimum of 8+ years of industry experience. This role requires a deep understanding of multiple technical domains. The ideal candidate will possess in-depth expertise in at least 5-6 of the following areas: Software Development, Geospatial, Meteorology, Frontend, Backend, Embedded Systems, AI, ML, Generative AI, Cloud, System Architecture, Solution Architecture, DevOps, Cybersecurity, Blockchain, among others. You will serve as the right-hand expert to our CTO, helping troubleshoot complex technical problems, guide project teams, and drive innovation across the company. Key Responsibilities Technical Leadership & Collaboration CTO Support: Provide direct assistance to the CTO in evaluating, planning, and executing technology strategies. Cross-Domain Expertise: Leverage your multi-domain expertise to support diverse projects, ensuring technical excellence across teams. Project Guidance: Lead technical discussions, architecture reviews, and troubleshooting sessions across multiple technology stacks. Solution Architecture & System Design Design & Development: Contribute to designing robust, scalable solutions that integrate multiple technologies. Technical Roadmaps: Collaborate in developing and refining technical roadmaps and architecture blueprints. Technology Evaluation: Assess and recommend new technologies, frameworks, and best practices to improve product performance and security. Problem Solving & Innovation Issue Resolution: Diagnose and resolve critical technical issues across software development, cloud infrastructure, security, and other domains. Innovation Catalyst: Drive innovation by identifying opportunities for automation, process improvements, and technology enhancements. Mentorship: Mentor and guide technical teams, fostering a culture of continuous learning and high performance. Domain Expertise Integration Multi-Domain Strategy: Utilize your expertise in at least 5-6 domains (such as Software Development, Geospatial, Meteorology, AI/ML, Cloud, Cybersecurity, Blockchain, etc.) to support and optimize our solutions. Interdisciplinary Collaboration: Work closely with domain-specific teams to ensure integration and alignment of technical strategies across projects. Standards & Best Practices: Establish and enforce technical standards and best practices within your areas of expertise. Technical Stack Specificity Programming Languages Proficiency in at least 3-4 of the following languages: Python (Primary data science, AI/ML, backend development) JavaScript/TypeScript (Frontend and full-stack development) Java/Kotlin (Enterprise and Android development) C/C++ (Embedded systems and performance-critical applications) Go (Cloud-native and systems programming) Rust (Systems programming with high security) R (Statistical computing and geospatial analysis) Frameworks and Technologies Web Frameworks: React, Angular, or Vue.js Django, Flask, or FastAPI Node.js, Express.js Mobile Development: React Native Flutter Kotlin/Swift Cloud Platforms: AWS (Amazon Web Services) Google Cloud Platform Microsoft Azure Containerization and Orchestration: Docker Kubernetes Helm AI/ML Frameworks: TensorFlow PyTorch Keras scikit-learn Blockchain: Ethereum Hyperledger Fabric Solidity DevOps Tools: Jenkins GitLab CI/CD Terraform Ansible Cybersecurity Tools: Wireshark Metasploit OWASP ZAP Burp Suite Technology Vision Alignment Technology Roadmap Focus Areas Advanced AI and Machine Learning capabilities Enhanced Cybersecurity solutions Geospatial intelligence platforms Edge computing and IoT integration Blockchain and decentralized technologies Collaborative Innovation Model Regular technology forums and knowledge-sharing sessions Partnerships with academic institutions and research centers Open-source contributions and community engagement Internal hackathons and innovation challenges Required Skills & Qualifications Experience Minimum 8+ years of hands-on experience in technical leadership or advanced technical role. Educational Background Bachelor's or Master's degree in computer science, Engineering, or a related technical field. Domain Expertise Demonstrable expertise in at least 5-6 of the following areas: Software Development (Full-stack, Mobile, or Desktop) Geospatial Technologies Meteorological Systems Frontend/Backend Development Embedded Systems Artificial Intelligence, Machine Learning, Generative AI Cloud Computing & Infrastructure System Architecture & Solution Architecture DevOps & Automation Cybersecurity Blockchain Technologies Technical Skills Proficiency in multiple programming languages and frameworks. Strong understanding of system integration, microservices, and distributed architectures. Familiarity with cloud platforms (AWS, Azure, Google Cloud) and containerization (Docker, Kubernetes). Deep knowledge of security best practices and modern cybersecurity strategies. Problem-Solving Exceptional analytical and problem-solving skills, with the ability to manage complex technical challenges. Communication Excellent communication and leadership skills, with experience presenting technical concepts to both technical and non-technical stakeholders. Collaboration Proven ability to work in cross-functional teams and mentor junior technical staff. Preferred Skills Certifications Relevant certifications in cloud technologies, cybersecurity, or project management are a plus. Innovative Mindset A track record of contributing to or leading innovative projects that integrate emerging technologies. Agile Methodologies Familiarity with Agile and DevOps practices, with experience in continuous integration/continuous deployment (CI/CD). Strategic Thinking Ability to see the big picture while diving deep into technical details as needed. Why Join Aaizel Tech Labs? Direct Impact: Work closely with the CTO and senior leadership, playing a key role in shaping the company's technology strategy. Diverse Projects: Engage with a broad range of cutting-edge technologies across multiple domains. Growth & Innovation: Be part of an innovative startup where your expertise can directly influence product development and strategic decisions. Collaborative Culture: Join a vibrant team that values knowledge sharing, creativity, and continuous improvement. How to Apply If you are a seasoned technical expert ready to drive innovation and support our technology leadership, please send your resume, cover letter, and portfolio (if applicable) to hr@aaizeltech.com , bhavik@aaizletech.com or anju@aaizeltech.com. Show more Show less

Work Level : Middle Management Core : Time Management, Result Driven, Self Motivated Leadership : Active Listening, Alignment to Organisation Goals Industry Type : IT Services & Consulting Function : Full Stack Developer Key Skills : Python,HTML,CSS,Javascript,React JS,Angular Education : Graduate Note: This is a requirement for one of the Workassist Hiring Partner. About the Role: We are seeking a highly motivated Full Stack Python Developer with 3–5 years of experience to join our remote engineering team. The ideal candidate is comfortable working across the backend and frontend, has a solid understanding of software development best practices, and thrives in a fast-paced environment. Key Responsibilities: Design, develop, and maintain scalable web applications using Python frameworks (Django/Flask/FastAPI). Build responsive user interfaces using modern JavaScript frameworks (React, Vue.js, or Angular). Collaborate with product managers, designers, and other developers to deliver end-to-end solutions. Write clean, testable, and maintainable code. Integrate third-party APIs and work with RESTful services. Ensure optimal performance, quality, and responsiveness of applications. Participate in code reviews, sprint planning, and regular team meetings. Troubleshoot and debug issues across the stack. Company Description Workassist is an online recruitment and employment solution platform based in Lucknow, India. We provide relevant profiles to employers and connect job seekers with the best opportunities across various industries. With a network of over 10,000+ recruiters, we help employers recruit talented individuals from sectors such as Banking & Finance, Consulting, Sales & Marketing, HR, IT, Operations, and Legal. We have adapted to the new normal and strive to provide a seamless job search experience for job seekers worldwide. Our goal is to enhance the job seeking experience by leveraging technology and matching job seekers with the right employers. For a seamless job search experience, visit our website: https://bit.ly/3QBfBU2 (Note: There are many more opportunities apart from this on the portal. Depending on the skills, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Job Description GalaxEye Space, is a deep-tech Space start-up spun off from IIT-Madras and is currently based in Bengaluru, Karnataka. We are dedicated to advancing the frontiers of space exploration. Our mission is to develop cutting-edge solutions that address the challenges of the modern space industry by specialising in developing a constellation of miniaturised, multi-sensor SAR+EO satellites. Our new age technology enables all-time, all-weather imaging, this with leveraging advanced processing and AI capabilities, we ensure near real-time data delivery and are glad to highlight that we have successfully demonstrated these imaging capabilities, the first of its kind in the world, across various platforms such as Drones as well as HAPS (High-Altitude Pseudo Satellites). Responsibilities Collaborate with the Bangalore team to accelerate the development of the product Install, configure, and execute packaged Python + React applications on an air-gapped system, isolated from the network Run automated & manual QC/benchmark suites on geospatial datasets, compare against target metrics, and document results Diagnose failures / performance gaps; tweak YAML/JSON configuration parameters, model checkpoints, and resource settings to hit accuracy & latency targets Generate concise diffs / patch files and reproducible reports for the backend team; participate in rapid iteration cycles Automate local environment set-up via scripts (e.g., PowerShell, Bash, Ansible) and maintain a minimal local PyPI / npm cache Pair with the Geospatial Analyst to validate outputs and capture edge- case feedback from real client data Requirements 2-3 yrs building and debugging full-stack apps (Python 3, FastAPI/Flask, React, Electron, Node) Solid grasp of packaging & deployment: PyInstaller/Briefcase, npm scripts, semantic versioning, checksum-based release manifests Comfort with offline dependency management (wheelhouses, npm offline cache) and Git-based change control Strong test mindset: pytest, Playwright, snapshot testing, CI pipelines (GitHub Actions, GitLab CI, or similar) Additional Skillset Any prior experience or exposure to image processing or computer vision Experience with Geospatial data formats (SAFE, CEOS, GeoTIFF) and GDAL/Rasterio Benefits Acquire valuable opportunities for learning and development through close collaboration with the founding team. Contribute to impactful projects and initiatives that drive meaningful change. We provide a competitive salary package that aligns with your expertise and experience. Enjoy comprehensive health benefits, including medical, dental, and vision coverage, ensuring the well-being of you and your family. Work in a dynamic and innovative environment alongside a dedicated and passionate team. check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#5BBD6E;border-color:#5BBD6E;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered=""> Show more Show less

Job Title: Artificial Intelligence Engineer Company: Humanoid Maker Location: Delhi Type: Full-Time Experience: 1–5 years Industry: Artificial Intelligence / Software Development / Robotics About Us: Humanoid Maker is a fast-growing innovator in AI, robotics, and automation solutions. We specialize in AI-powered software, robotic kits, refurbished IT hardware, and technology services that empower startups, businesses, and institutions across India. Our mission is to build intelligent systems that simplify lives and boost productivity. Role Overview: We are looking for a skilled and creative Artificial Intelligence Engineer to join our AI development team. This role involves building, training, and deploying machine learning models for various use cases including voice synthesis, natural language processing, computer vision, and robotics integration. Key Responsibilities: Develop, train, and fine-tune machine learning and deep learning models for real-world applications. Work on projects related to NLP, speech recognition, voice cloning, and robotic intelligence. Build APIs and tools to integrate AI features into applications and hardware systems. Optimize models for performance and deploy them in edge, desktop, or server environments. Collaborate with UI/UX and backend developers for full-stack AI system integration. Conduct data preprocessing, feature engineering, and dataset management. Continuously research and experiment with the latest AI advancements. Key Skills & Requirements: Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related field. 1–5 years of hands-on experience in developing AI/ML models. Strong knowledge of Python, PyTorch, TensorFlow, scikit-learn, etc. Experience with NLP libraries (e.g., Hugging Face Transformers, spaCy), and/or CV frameworks (OpenCV, YOLO). Familiarity with APIs, web frameworks (Flask/FastAPI), and databases (SQL or NoSQL). Bonus: Experience in robotics integration or embedded AI (Arduino/Raspberry Pi). What We Offer: Competitive salary based on experience. Opportunity to work on cutting-edge AI and robotics projects. Friendly and innovative team environment. Career growth in a rapidly expanding AI company. Access to high-performance computing tools and training resources. Job Types: Full-time, Permanent Pay: ₹10,000.00 - ₹50,000.00 per month Benefits: Paid sick time Supplemental Pay: Commission pay Overtime pay Performance bonus Yearly bonus Education: Bachelor's (Required) Experience: AI: 1 year (Required) Language: Hindi (Required) Work Location: In person

Hiring for top Unicorns & Soonicorns of India! We’re looking for a Machine Learning Engineer who thrives at the intersection of data, technology, and impact. You’ll be part of a fast-paced team that leverages ML/AI to personalize learning journeys, optimize admissions, and drive better student outcomes. This role is ideal for someone who enjoys building scalable models and deploying them in production to solve real-world problems. What You’ll Do Build and deploy ML models to power intelligent features across the Masai platform — from admissions intelligence to student performance prediction. Collaborate with product, engineering, and data teams to identify opportunities for ML-driven improvements. Clean, process, and analyze large-scale datasets to derive insights and train models. Design A/B tests and evaluate model performance using robust statistical methods. Continuously iterate on models based on feedback, model drift, and changing business needs. Maintain and scale the ML infrastructure to ensure smooth production deployments and monitoring. What We’re Looking For 2–4 years of experience as a Machine Learning Engineer or Data Scientist. Strong grasp of supervised, unsupervised, and deep learning techniques. Proficiency in Python and ML libraries (scikit-learn, TensorFlow, PyTorch, etc.). Experience with data wrangling tools like Pandas, NumPy, and SQL. Familiarity with model deployment tools like Flask, FastAPI, or MLflow. Experience working with cloud platforms (AWS/GCP/Azure) and containerization (Docker/Kubernetes) is a plus. Ability to translate business problems into machine learning problems and communicate solutions clearly. Bonus If You Have Experience working in EdTech or with personalized learning systems. Prior exposure to NLP, recommendation systems, or predictive modeling in a consumer-facing product. Contributions to open-source ML projects or publications in the space. Show more Show less

Job Title: Full Stack AI Architect Exp: 10yrs+ Location: Hyderabad/Chennai Summary: We are seeking a highly skilled Full Stack AI Architect to join our team and work under the guidance of Principal Architect to develop and deploy LLM Agents & Multi-Agent Frameworks. The ideal candidate will have 10+ years of experience in software engineering, with a strong focus on AI/ML. This role requires excellent problem-solving capabilities and a strong execution mindset to drive the development and deployment of AI-powered solutions. Responsibilities Collaborate with the Principal Architect to design and implement AI agents and multi-agent frameworks. Develop and maintain robust, scalable, and maintainable microservices architectures. Ensure seamless integration of AI agents with core systems and databases. Develop APIs and SDKs for internal and external consumption. Work closely with data scientists to fine-tune and optimize LLMs for specific tasks and domains. Implement ML Ops practices, including CI/CD pipelines, model versioning, and experiment tracking1. Design and implement comprehensive monitoring and observability solutions to track model performance, identify anomalies, and ensure system stability2. Utilize containerization technologies such as Docker and Kubernetes for efficient deployment and scaling of applications3. Leverage cloud platforms such as AWS, Azure, or GCP for infrastructure and services3. Design and implement data pipelines for efficient data ingestion, transformation, and storage4. Ensure data quality and security throughout the data lifecycle5. Mentor junior engineers and foster a culture of innovation, collaboration, and continuous learning. Qualifications 10+ years of experience in software engineering with a strong focus on AI/ML. Proficiency in frontend frameworks like React, Angular, or Vue.js. Strong hands-on experience with backend technologies like Node.js, Python (with frameworks like Flask, Django, or FastAPI), or Java. Experience with cloud platforms such as AWS, Azure, or GCP. Proven ability to design and implement complex, scalable, and maintainable architectures. Excellent problem-solving and analytical skills. Strong communication and collaboration skills. Passion for continuous learning and staying up to date with the latest advancements in AI/ML. End-to-end experience with at least one full AI stack on Azure, AWS, or GCP, including components such as Azure Machine Learning, AWS SageMaker, or Google AI Platform3. Hands-on experience with agent frameworks like Autogen, AWS Agent Framework, LangGraph etc. Experience with databases such as MongoDB, PostgreSQL, or similar technologies for efficient data management and integration. Illustrative Projects You May Have Worked On Successfully led the development and deployment of an AI-powered recommendation system using AWS SageMaker, integrating it with a Node.js backend and a React frontend. Designed and implemented a real-time fraud detection system on Azure, utilizing Azure Machine Learning for model training and Kubernetes for container orchestration. Developed a chatbot using Google AI Platform, integrating it with a Django backend and deploying it on GCP, ensuring seamless interaction with MongoDB for data storage Show more Show less

About Role We are seeking a skilled Backend Engineer with 2+ years of experience to join our dynamic team, focusing on building scalable web applications using Python frameworks (Django/FastAPI) and cloud technologies. You'll be instrumental in developing and maintaining our cloud-native backend services. Responsibilities Design and develop scalable backend services using Django and FastAPI Create and maintain RESTful APIs Implement efficient database schemas and optimize queries Implement containerisation using Docker and container orchestration Design and implement cloud-native solutions using microservices architecture Participate in technical design discussions, code reviews and maintain coding standards Document technical specifications and APIs Collaborate with cross-functional teams to gather requirements, prioritise tasks, and contribute to project completion. Requirements Experience with Django and/or Fast-API (2+ years) Proficiency in SQL and ORM frameworks Docker containerisation and orchestration Proficiency in shell scripting (Bash/Power-Shell) Understanding of micro-services architecture Experience building server-less back end Knowledge of deployment and debugging on cloud platforms (AWS/Azure) Skills:- Python, Django, FastAPI, SQL, NOSQL Databases, RESTful APIs, Amazon Web Services (AWS) and Docker 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. EY- Assurance – Sr.Manager - Digital Position Details As part of EY GDS Assurance Digital, you will be responsible for implementing innovative ideas through AI research to develop high growth & impactful products. You will be helping EY’s sector and service line professionals by developing analytics enabled solutions, integrating data science activities with business relevant aspects to gain insight from data. You will work with multi-disciplinary teams across the entire region to support global clients. This is a combination of a technical role and a business development role in AI, responsible for creating innovative solutions by applying AI based techniques for business problems. As our in-house senior AI engineer, your expertise and skills will be vital in our ability to steer one of our Innovation agenda. Responsibilities 10-12 years of experience in Data Science, with about 15 years of total experience Talk to businesses across Assurance teams and understand the problem and develop the solution based on problem, infra and cost limitations Respond to AI related RFPs and business cases Ensure team’s utilization and billability – i.e ensure that the projects are lined up for developers on after the other Convert business problem into analytical problem and devise a solution approach Clean, aggregate, analyze and interpret the data to derive business insights from it. Own the AI/ML implementation process: Model Design, Feature Planning, Testing, Production Setup, Monitoring, and release management. Work closely with the Solution Architects in deployment of the AI POC’s and scaling up to production level applications. Should have solid background in Python and has deployed on open-source models- Work on data extraction techniques from complex PDF/Word Doc/Forms- entities extraction, table extraction, information comparison. Key Requirements/Skills & Qualification: Excellent academic background, including at a minimum a bachelor or a master’s degree in data science, Business Analytics, Statistics, Engineering, Operational Research, or other related field with strong focus on modern data architectures, processes, and environments. Solid background in Python with excellent coding skills. 6+ years of core data science experience in one or more below areas: Machine Learning (Regression, Classification, Decision Trees, Random Forests, Timeseries Forecasting and Clustering) Understanding and usage of Large Language Models like Open AI models like ChatGPT, GPT4, function calling, frameworks like LangChain, Llama Index, agents etc. Retriever augmented generation and prompt engineering. Good understanding of open source LLM framework like Mistral, Llama, etc. and fine tuning on custom datasets. Deep Learning (DNN, RNN, LSTM, Encoder-Decoder Models) Natural Language Processing- Text Summarization, Aspect Mining, Question Answering, Text Classification, NER, Language Translation, NLG, Sentiment Analysis. Computer Vision- Image Classification, Object Detection, Tracking etc. SQL/NoSQL Databases and its manipulation components Working knowledge of API Deployment (Flask/FastAPI/Azure Function Apps) and webapps creation, Docker, Kubernetes. Additional skills requirements: Excellent written, oral, presentation and facilitation skills Ability to coordinate multiple projects and initiatives simultaneously through effective prioritization, organization, flexibility, and self-discipline. Must have demonstrated project management experience. Knowledge of firm’s reporting tools and processes. Proactive, organized, and self-sufficient with ability to priorities and multitask. Analyses complex or unusual problems and can deliver insightful and pragmatic solutions. Ability to quickly and easily create/ gather/ analyze data from a variety of sources. A robust and resilient disposition able to encourage discipline in team behaviors What We Look For A Team of people with commercial acumen, technical experience, and enthusiasm to learn new things in this fast-moving environment. An opportunity to be a part of market-leading, multi-disciplinary team of 7200 + professionals, in the only integrated global assurance business worldwide. Opportunities to work with EY GDS Assurance practices globally with leading businesses across a range of industries What Working At EY Offers At EY, we’re dedicated to helping our clients, from startups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you 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

Greetings from TATA Consultancy Services Job Openings at TCS Skill :Python DEVELOPER + Django + FastAPI Exp range :5 - 12 years Role : Permanent Role Job location :HYDERABAD Current location : HYDERABAD Mode of interview :Walkin Face to face only at Hyderabad on 21st Jun 25 Pls find the Job Description below. SN Required Information Details 1 Role** Python Developer + + Django + FastAPI 2 Required Technical Skill Set** Airflow, Kubernetes, Python, SQL, + Django + FastAPI 3 No of Requirements** 2 4 Desired Experience Range** 4+Years 5 Location of Requirement Bangalore Desired Competencies (Technical/Behavioral Competency) Must-Have** (Ideally should not be more than 3-5) Design and develop scalable pipelines with + Django + FastAPI Hands on experience with Kubernetes and Helm charts with AirflowExperience with cloud platforms integration of Airflow with AWS Thanks & Regards Priyanka Talent Acquisition Group Tata Consultancy Services Show more Show less

Job Overview We are looking for a skilled and motivated Jr. Programmer Analyst with 2 years of hands-on experience in Python development and a strong understanding of software development principles. The ideal candidate should have experience with Odoo ORM, PostgreSQL, and API integration. If you have a passion for writing clean, optimized code and are excited about working in a product-based environment, we would love to meet you. Key Responsibilities Develop, test, and maintain applications using Python (Pandas, NumPy, psycopg2). Implement multi-threading and multi-processing where required. Work on Odoo ORM, customizing and optimizing the application architecture. Integrate third-party APIs and ensure smooth data flow between systems. Optimize code for performance and scalability. Collaborate with cross-functional teams using Agile methodologies. Write efficient SQL queries and manage PostgreSQL databases. Utilize Git for version control and contribute to CI/CD processes. Work in a Linux environment for software development and deployment. Support the team in product development from concept to deployment. Technical Requirements (Must Have) Strong proficiency in Python 3 , especially: Pandas , NumPy, Multi-threading , Multi-processing, psycopg2 , API Integration Code optimization techniques. Experience with Odoo ORM and understanding of its architecture Experience in FastAPI / Flask. Proficiency in PostgreSQL and writing complex SQL queries Familiarity with Git , HTML , CSS , and JavaScript. Comfortable working on Linux OS. Experience with Agile software development methodology. Exposure to product development lifecycle. Good To Have Basic knowledge of Docker. Advanced proficiency with Linux. Understanding of stock and crypto markets , especially candlestick patterns. Perks & Benefits Opportunity to work in a fast-growing product environment. Collaborative and supportive team culture. Learning and development opportunities. If you are passionate about technology and want to grow in a dynamic product-based company, we encourage you to apply! Skills:- Python, Odoo (OpenERP), pandas, NumPy, Linux administration, API, Flask, PostgreSQL, FastAPI, Git, Docker and CI/CD Show more Show less

About HireRight HireRight is the premier global background screening and workforce solutions provider. We bring clarity and confidence to vetting and hiring decisions through integrated, tailored solutions, driving a higher standard of accuracy in everything we do. Combining in-house talent, personalized services, and proprietary technology, we ensure the best candidate experience possible. PBSA accredited and based in Nashville, TN, we offer expertise from our regional centers across 200 countries and territories in The Americas, Europe, Asia, and the Middle East. Our commitment to get it right every time, everywhere, makes us the trusted partner of businesses and organizations worldwide. Responsibilities Develop AI technologies that integrate with our human processes Use transfer learning to tune models to our use cases Meet regularly with our legal team and data governance personnel to ensure that our AI/ML models adhere to the highest standards of fairness and privacy Manage data ingestion processes, oversee labeling efforts, and monitor data quality to support your own machine learning models Proactively identify model failure cases and identify new approaches for improving our machine learning models Continued education about the latest machine learning algorithms, techniques, and technologies. Data science team members are strongly encouraged to take courses, obtain professional certifications, and attend industry conferences Stand up MVPs for web-based internal tools and external customer-facing features Develop APIs and/or additional endpoints as necessary to power your frontend features Qualifications You have 4+ years of experience as a machine learning engineer or scientist, deploying models in production at scale All applicants must have professional experience building and deploying AI/ML based software to a cloud environment The successful candidate will have basic academic training (self-taught or otherwise) of the theory underlying neural architectures Proficiency in Python and python-based AI/ML frameworks, installing packages from PyPI, and debugging common problems using online resources Ability to create large software projects that are organized, well-structured, thoughtfully documented, and automatically tested Experience deploying machine learning models to production, including monitoring, alerting, automatic bug filing and auditing Experience deploying docker Experience debugging and modifying forked libraries Working knowledge of deploying ML pipelines in Azure, GCP or AWS. Familiarity latest models coming out of academia and domain leaders Some familiarity with web frameworks such as Flask, or FastAPI Applicants should have strong core coding skills, passion for software quality, improving the design/development process, and building highly available systems Experience with Object Oriented design (OOP) Experience with a Relational Database Management System (Postgres, SQL, Oracle, etc) Modern development patterns and platforms (Microservices, Web Services (REST) What Do We Offer Please submit resume/CV in English. All resumes are held in confidence. Only candidates whose profiles closely match requirements will be contacted during this search. HireRight does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of HireRight and HireRight will not be obligated to pay a placement fee. Show more Show less

FactSet creates flexible, open data and software solutions for over 200,000 investment professionals worldwide, providing instant access to financial data and analytics that investors use to make crucial decisions. At FactSet, our values are the foundation of everything we do. They express how we act and operate, serve as a compass in our decision-making, and play a big role in how we treat each other, our clients, and our communities. We believe that the best ideas can come from anyone, anywhere, at any time, and that curiosity is the key to anticipating our clients’ needs and exceeding their expectations. Your Team's Impact FactSet, a leading provider of global financial content and analytics, is currently looking for a Software Engineer to join our Stability Engineering Team. An ideal candidate for this position should have experience with front-end frameworks like Angular.js, strong Object-Oriented development skills, proficiency in .NET C#, Python with Flask or FastAPI web development, as well as a solid background in SQL and AWS. We are seeking an independent and creative person to fill the role of Software Engineer within this team. A perfect candidate for this position should have the willingness to learn new technologies, apply that knowledge to the job, and strong communication skills. What You'll Do Develop new features and products as requested by stakeholders Maintain existing product features by working on bug fixes and code refactors Collaborate with other developers to come up with creative solutions using the latest technologies Excellent presentation skills and experience in working in a matrix environment Proactively suggest improvements to applications and processes that enhance the client experience or improve performance Guide and mentor junior engineers to help them reach their full potential Provide periodic project status updates to team lead/remote manager Review code submitted by other engineers Strive to improve software quality across the organization (i.e. creating unit tests) Write clean code Good problem-solving skills What We're Looking For 2-4 years of industry experience Strong Object-Oriented development experience, Knowledge of design patterns in Python and C# Should have experience with Python Flask / FastAPI web development frameworks HTML/CSS, especially HTML5 and modern layout techniques Strong experience with Vue /Angular 1.x or equivalent Front end technologies Strong experience with SQL/ PostgreSQL development Should have strong problem-solving skills Ability to articulate and quickly adopt development best practices Excellent organizational and communication skills Willingness to work as a member of a team, including participating in peer code reviews and maintaining project and operational documentation Ability to work as part of a geographically diverse team Ability to create and review documentation and test plans Ability to communicate with both technical and non-technical people B.Tech or M.Tech in Computer Science or equivalent What's In It For You At FactSet, our people are our greatest asset, and our culture is our biggest competitive advantage. Being a FactSetter means: The opportunity to join an S&P 500 company with over 45 years of sustainable growth powered by the entrepreneurial spirit of a start-up. Support for your total well-being. This includes health, life, and disability insurance, as well as retirement savings plans and a discounted employee stock purchase program, plus paid time off for holidays, family leave, and company-wide wellness days. Flexible work accommodations. We value work/life harmony and offer our employees a range of accommodations to help them achieve success both at work and in their personal lives. A global community dedicated to volunteerism and sustainability, where collaboration is always encouraged, and individuality drives solutions. Career progression planning with dedicated time each month for learning and development. Business Resource Groups open to all employees that serve as a catalyst for connection, growth, and belonging. Learn More About Our Benefits Here. Salary is just one component of our compensation package and is based on several factors including but not limited to education, work experience, and certifications. Company Overview: FactSet (NYSE:FDS | NASDAQ:FDS) helps the financial community to see more, think bigger, and work better. Our digital platform and enterprise solutions deliver financial data, analytics, and open technology to more than 8,200 global clients, including over 200,000 individual users. Clients across the buy-side and sell-side, as well as wealth managers, private equity firms, and corporations, achieve more every day with our comprehensive and connected content, flexible next-generation workflow solutions, and client-centric specialized support. As a member of the S&P 500, we are committed to sustainable growth and have been recognized among the Best Places to Work in 2023 by Glassdoor as a Glassdoor Employees’ Choice Award winner. Learn more at www.factset.com and follow us on X and LinkedIn. At FactSet, we celebrate difference of thought, experience, and perspective. Qualified applicants will be considered for employment without regard to characteristics protected by law. Show more Show less

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential. We are seeking a highly skilled Senior Software Engineer specializing in Python and FASTAPI to join our dynamic team. You will play a critical role in developing high-performing, scalable solutions while collaborating with cross-functional teams to deliver innovative software products. Responsibilities Collaborate with stakeholders to gather requirements and translate them into technical solutions Design and develop robust applications using Python and FASTAPI Build and manage efficient APIs within the FASTAPI framework Optimize SQL queries and ensure database performance for application requirements Leverage Azure technologies to implement cloud-based solutions Troubleshoot and resolve development issues in real-time environments Ensure code quality through unit testing and peer reviews Deliver on project deadlines while managing and coordinating with development team members Requirements 5-8 years of experience developing applications in Python and FASTAPI Hands-on expertise in Azure cloud services and SQL Proficiency in API design and development for web applications Understanding of scalable architecture and secure application development Background in working with complex systems and debugging in large-scale environments We offer Opportunity to work on technical challenges that may impact across geographies Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications Opportunity to share your ideas on international platforms Sponsored Tech Talks & Hackathons Unlimited access to LinkedIn learning solutions Possibility to relocate to any EPAM office for short and long-term projects Focused individual development Benefit package: Health benefits Retirement benefits Paid time off Flexible benefits Forums to explore beyond work passion (CSR, photography, painting, sports, etc.)