403 Fast Api Jobs - Page 10

Key Responsibilities : Develop, train, and fine-tune large language models and generative architectures (LLMs, VAEs, Transformers, GANs) Integrate models with applications using LangChain, LlamaIndex, RAG, and other frameworks Design LLM-based agents for specific use cases: summarization, classification, scoring, Q&A, translation Build prompt templates and semantic memory flows using vector databases like Pinecone or FAISS Collaborate with backend and data teams to ingest data from PDFs, APIs, structured databases, and JSON files Benchmark model outputs and run experiments to optimize cost, performance, and quality Stay on top of AI research and rapidly implement useful techniques in production environments Write clear, modular, reusable code with documentation and test coverage Troubleshoot model-related deployment or inference issues Technical Skills Required : Strong Python programming skills Experience with Transformers, Hugging Face, OpenAI/Anthropic APIs, Med-GEMMA, or similar foundation models Experience with agentic frameworks: LangChain, LlamaIndex, LangGraph, semantic RAG Familiarity with Vector database experience (Pinecone, FAISS, Weaviate, or similar) Comfortable with prompt engineering, few-shot learning, fine-tuning basics Ability to process and clean unstructured data (PDFs, notes, research papers, etc.) Understanding of NLP metrics and model evaluation techniques Bonus: experience with biomedical or clinical data (PubMed, ClinicalTrials.gov, etc.) Bonus: experience with deploying models via FastAPI, Docker, or Streamlit Personal Attributes : Curiosity and willingness to learn new models and tools quickly Attention to detail and commitment to quality Ownership mindsetyou care about the outcome, not just the code Ability to work independently and push through ambiguity Passion for building usable AI, not just research prototypes Strong communication and collaboration skills across tech and domain teams

Were looking for a Python-based AI/ML Developer who brings solid hands-on experience in building machine learning models and deploying them into scalable, production-ready APIs using FastAPI or Django. The ideal candidate is both analytical and implementation-savvy, capable of transforming models into live services and integrating them with real-world systems. Key Responsibilities Design, train, and evaluate machine learning models (classification, regression, clustering, etc.) Build and deploy scalable REST APIs for model serving using FastAPI or Django Collaborate with data scientists, backend developers, and DevOps to integrate models into production systems Develop clean, modular, and optimized Python code using best practices Perform data preprocessing, feature engineering, and data visualization using Pandas , NumPy , Matplotlib , and Seaborn Implement model serialization techniques (Pickle, Joblib, ONNX) and deploy models using containers (Docker) Manage API security with JWT and OAuth mechanisms Participate in Agile development with code reviews, Git workflows, CI/CD pipelines Must-Have Skills Python & Development Proficient in Python 3.x, OOP, and clean code principles Experience with Git, Docker, debugging, unit testing AI/ML Good grasp of supervised/unsupervised learning, model evaluation, and data wrangling Hands-on with Scikit-learn , XGBoost , LightGBM Web Frameworks FastAPI : API routes, async programming, Pydantic, JWT Django : REST Framework, ORM, Admin panel, Middleware DevOps & Cloud Experience with containerized deployment using Docker Exposure to cloud platforms: AWS , Azure , or GCP CI/CD with GitHub Actions, Jenkins, or GitLab CI Databases SQL: PostgreSQL, MySQL NoSQL: MongoDB, Redis ORM: Django ORM, SQLAlchemy Bonus/Nice-to-Have Skills Model tracking/versioning tools (MLflow, DVC) Knowledge of LLMs , transformers, vector DBs (Pinecone, Faiss) Airflow, Prefect, or other workflow automation tools Basic frontend skills (HTML, JavaScript, React) Requirements Education : B.E./B.Tech or M.E./M.Tech in Computer Science, Data Science, or related fields Experience : 36 years of industry experience in ML development and backend API integration Strong communication skills and ability to work with cross-functional teams Role & responsibilities

Senior Backend Engineer Role & Responsibilities Design and implement scalable backend systems using Python (FastAPI preferred) and RESTful API services. Integrate and operationalize LLMs (e.g., OpenAI, Azure OpenAI, Hugging Face models) into end-user applications. Develop and maintain pipelines for prompt orchestration, embeddings, and retrieval- augmented generation (RAG). Work with vector databases (e.g., FAISS, Pinecone, Azure Cognitive Search) for context- aware LLM responses. Ensure robustness, performance, and security of API endpoints and backend services. Collaborate with front-end developers, ML engineers, and client stakeholders to deliver high-quality features. Participate in architecture design discussions and contribute to code reviews and technical documentation. Take end-to-end ownership of features and independently manage tasks and delivery timelines. Support knowledge transfer from client-side experts and progressively reduce dependency on them. Must-Have Skills: 6+ years of strong hands-on experience in Python backend development, with a focus on RESTful APIs. Experience in integrating LLMs via APIs (OpenAI, Azure OpenAI, Hugging Face Transformers). Strong understanding of RAG patterns, prompt engineering, and context injection for GenAI applications. Experience working with vector databases or semantic search frameworks. Experience with cloud platforms, preferably Azure (Azure Functions, Cognitive Services, etc.). Proficiency in problem-solving, debugging, and performance tuning. Strong communication skills; able to articulate technical ideas and challenges clearly. Ability to work independently and mentor junior engineers when needed. Good-to-Have Skills: Experience with LangChain, LLM orchestration frameworks, or prompt tuning. Experience in containerization (Docker, Kubernetes). Familiarity with CI/CD pipelines and version control (Git). Prior exposure to enterprise AI solutions or chatbot frameworks

Build scalable back-end systems in Python using Django/Flask/FastAPI for enterprise SaaS products. Solve complex data challenges, integrate systems, and contribute to architecture decisions. Required Candidate profile 4+ years in Python with Django/Flask/FastAPI. Strong in OOP, ORM, multiprocessing, caching, and queues. Prior experience in B2B SaaS or enterprise analytics preferred.

What you will do Let s do this. Let s change the world. In this vital role you will be responsible for designing, developing, and maintaining software applications and solutions that meet business needs and ensuring the availability and performance of critical systems and applications. This role involves working closely with product managers, designers, data engineers, and other engineers to create high-quality, scalable software solutions and automating operations, monitoring system health, and responding to incidents to minimize downtime. You will play a key role in a regulatory submission content automation initiative which will modernize and digitize the regulatory submission process, positioning Amgen as a leader in regulatory innovation. The initiative demonstrates innovative technologies, including Generative AI, Structured Content Management, and integrated data to automate the creation, and management of regulatory content. Roles Responsibilities: Possesses strong rapid prototyping skills and can quickly translate concepts into working code Contribute to both front-end and back-end development using cloud technology Develop innovative solution using generative AI technologies Ensure code quality and consistency to standard methodologies Create and maintain documentation on software architecture, design, deployment, disaster recovery, and operations Identify and resolve technical challenges effectively Stay updated with the latest trends and advancements Work closely with product team, business team, and other collaborators Design, develop, and implement applications and modules, including custom reports, interfaces, and enhancements Analyze and understand the functional and technical requirements of applications, solutions and systems and translate them into software architecture and design specifications Develop and implement unit tests, integration tests, and other testing strategies to ensure the quality of the software Identify and resolve software bugs and performance issues Work closely with multi-functional teams, including product management, design, and QA, to deliver high-quality software on time Customize modules to meet specific business requirements Work on integrating with other systems and platforms to ensure seamless data flow and functionality Provide ongoing support and maintenance for applications, ensuring that they operate smoothly and efficiently What we expect of you We are all different, yet we all use our unique contributions to serve patients. Master s degree and 1 to 3 years of experience in Computer Science, IT or related field OR Bachelor s degree and 3 to 5 years of experience in Computer Science, IT or related field OR Diploma and 7 to 9 years of experience in Computer Science, IT or related field Preferred Qualifications: Functional Skills: Must-Have Skills: Proficiency in Python/PySpark development, Fast API, PostgreSQL, Databricks, DevOps Tools, CI/CD, Data Ingestion. Candidates should be able to write clean, efficient, and maintainable code. Knowledge of HTML, CSS, and JavaScript, along with popular front-end frameworks like React or Angular, is required to build interactive and responsive web applications In-depth knowledge of data engineering concepts, ETL processes, and data architecture principles. Solid understanding of cloud computing principles, particularly within the AWS ecosystem Solid understanding of software development methodologies, including Agile and Scrum Experience with version control systems like Git Hands on experience with various cloud services, understand pros and cons of various cloud service in well architected cloud design principles Strong problem solving, analytical skills; Ability to learn quickly; Good communication and interpersonal skills Experienced with API integration, serverless, microservices architecture. Experience in SQL/NOSQL database, vector database for large language models Good-to-Have Skills: Solid understanding of cloud platforms (e. g. , AWS, GCP, Azure) and containerization technologies (e. g. , Docker, Kubernetes) Experience with monitoring and logging tools (e. g. , Prometheus, Grafana, Splunk) Experience with data processing tools like Hadoop, Spark, or similar Soft Skills: Excellent analytical and solving skills Strong verbal and written communication skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Strong presentation and public speaking skills What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.

Position Overview: We are seeking an experienced Backend Developer proficient in Python, Flask, FastAPI, and related technologies with a deep understanding of algorithm design for complex tasks. As part of our backend engineering team, you will play a key role in designing, developing, and maintaining scalable and reliable backend services for our AI coaching platform. Your expertise in microservices architecture, cloud computing, and database management will be instrumental in shaping the future of our technology stack. Responsibilities: Design, develop, and maintain RESTful APIs and backend services using Python, Flask, FastAPI, and SQLAlchemy, adhering to best practices for code quality, performance, and scalability. Implement microservices architecture, for smaller, independent services, and orchestrate communication between services using message brokers or API gateways. Implement complex algorithms and data structures to handle diverse tasks such as data processing, operation research (OR), recommendation systems, and optimization problems. Optimize backend services for performance and efficiency, identifying bottlenecks and implementing solutions to improve response times and resource utilization. Collaborate with frontend developers, data scientists, and DevOps engineers to integrate backend services with web and mobile applications, AI models, and cloud infrastructure. Implement authentication and authorization mechanisms, ensuring secure access control to backend resources and protecting sensitive data using industry-standard encryption and authentication protocols. Utilize cloud computing platforms such as Google Cloud Platform (GCP) to deploy and scale backend services, leveraging managed services like Cloud Functions, Cloud Run, and Kubernetes Engine for optimal performance and cost efficiency. Containerize backend services using Docker and orchestration tools like Kubernetes for deployment and management in containerized environments, ensuring consistency and reproducibility across development, staging, and production environments. Design and optimize database schemas using PostgreSQL or MySQL, leveraging advanced features for scalability, performance, and data integrity, and integrating data processing libraries like Pandas and NumPy for advanced analytics and machine learning tasks. Document API specifications using OpenAPI (formerly Swagger), defining endpoints, request/response schemas, and authentication requirements for internal and external consumption. Qualifications: Bachelor's or Master's degree in Computer Science, Software Engineering, or related field. Extensive experience in backend development with Python, including frameworks like Flask and FastAPI, and proficiency in database management with SQLAlchemy. Strong understanding of microservices architecture principles and experience designing, implementing, and deploying microservices-based applications. Strong understanding of algorithmic complexity, optimization techniques, and best practices for designing efficient algorithms to solve complex problems. Hands-on experience with cloud computing platforms, preferably Google Cloud Platform (GCP), and familiarity with cloud-native technologies such as serverless computing, containers, and orchestration. Proficiency in containerization and orchestration tools like Docker and Kubernetes for building and managing scalable, distributed systems. Solid understanding of relational database management systems (RDBMS) such as PostgreSQL or MySQL, with experience optimizing database schemas for performance and scalability. Familiarity with data processing libraries like Pandas and NumPy for advanced analytics and machine learning tasks. Experience with API documentation tools like OpenAPI/Swagger for defining and documenting RESTful APIs. Excellent problem-solving skills, attention to detail, and ability to work effectively in a collaborative, cross-functional team environment. Strong communication skills, with the ability to articulate technical concepts and collaborate with stakeholders across disciplines. Passion for sports and a desire to make a positive impact on athlete performance and well-being. BenefitRole & responsibilities

We are seeking a highly skilled Full Stack Developer with extensive experience and expertise in developing AI-driven tools using Python and Django, with strong proficiency in frontend technologies, and a proven track record of working with APIs.

We are hiring a Python Developer to build and maintain software solutions, design APIs, optimize performance, and manage databases. Skills in Python, Django/Flask/FastAPI, RESTful APIs, and relational/NoSQL databases & Frontend skills are required.

Python\Quant Engineer : Key Responsibilities: Design, develop, and maintain scalable Python-based quantitative tools and libraries. Collaborate with quants and researchers to implement and optimize pricing, risk, and trading models. Process and analyze large datasets (market, fundamental, alternative data) to support research and live trading. Build and enhance backtesting frameworks and data pipelines. Integrate models with execution systems and trading platforms. Optimize code for performance and reliability in low-latency environments. Participate in code reviews, testing, and documentation efforts. Required Qualifications: 5+ years of professional experience in quantitative development or similar roles. Proficiency in Python , including libraries like NumPy, Pandas, SciPy, Scikit-learn , and experience in object-oriented programming. Strong understanding of data structures, algorithms , and software engineering best practices. Experience working with large datasets, data ingestion, and real-time processing. Exposure to financial instruments (equities, futures, options, FX, fixed income, etc.) and financial mathematics. Familiarity with backtesting, simulation , and strategy evaluation tools. Experience with Git , Docker , CI/CD , and modern development workflows. Preferred Qualifications: Preferred Experience with C++ for performance-critical modules. Knowledge of machine learning techniques and tools (e.g., TensorFlow, XGBoost). Familiarity with SQL / NoSQL databases and cloud platforms (AWS, GCP). Prior experience in hedge funds, proprietary trading firms, investment banks , or financial data providers.

Wed love to hear from people with 8+ years of professional experience in backend development, specializing in Python. Strong expertise in modernizing and maintaining Python applications, including standalone web applications. Experience with Python-based microservices and backend frameworks (e.g., Flask, FastAPI, Django). Proficiency in RESTful API design and working with API integrations. Solid experience with MySQL or PostgreSQL, including query optimization and performance tuning. Familiarity with Docker, Kubernetes, and cloud platforms (AWS, GCP, or Azure) for scalable application deployments. Experience implementing testing frameworks for backend services (PyTest). Strong debugging and problem-solving skills, with the ability to troubleshoot legacy systems. Interest in collaborating across teams, mentoring junior engineers, and driving technical excellence.

Python Full stack Developer React, Devops, CICD, Jenkins, Flash, Flask, Fast API,

Job description Job Title : Senior Python Developer (Django / Flask / FastAPI) Location : Bangalore Job Overview Were seeking a driven and experienced Python Developer with 5 to 8years of handson development experience in frameworks like Django , Flask , or FastAPI . You'll be building high-performance backend services, REST APIs, and integrating with cloud platforms like AWS or Azure. This is a full-stack team rolecollaborating with frontend, DevOps, QA, and Product teams—to deliver scalable, secure, and maintainable solutions. Key Responsibilities Design, develop, test, and deploy backend applications using Django , Flask , or FastAPI linkedin.com+1naukri.com+1 Build and maintain robust, RESTful APIs and microservices Integrate relational (PostgreSQL/MySQL) and NoSQL (MongoDB/DynamoDB) databases using ORMs like SQLAlchemy or Django ORM hirist.tech Apply cloud best practices in deployment and scaling on AWS/Azure (Docker, Kubernetes, CI/CD pipelines) Write comprehensive unit and integration tests, participate in code reviews expertia.ai+3iifon.org+3hirist.tech+3 Optimize performance, implement caching strategies, and troubleshoot production issues hirist.tech Collaborate with cross-team stakeholders (frontend, QA, product managers) throughout the SDLC Required Skills & Qualifications 5 - 8 years of software development experience with Python Strong proficiency in Django , Flask , or FastAPI , with a modern architecture mindset Solid experience with SQL/NoSQL databases , migrations (Alembic), and ORM tools Hands-on experience with AWS or Azure ; familiarity with Docker, Kubernetes, CI/CD pipelines Expertise in writing clean, testable code (pytest/unittest), along with version control (Git) Knowledge of asynchronous programming patterns using asyncio , FastAPI, etc. Familiarity with microservices, RESTful APIs—and preferably GraphQL Excellent debugging, problem-solving, and performance-tuning skills Note: Apply link: https://www.adhiraninfotech.com/career

Hands-on experience with demonstrated capability in Restful API Design and development using Python (Django/FastAPI Framework) Hands-on experience with demonstrated capability in Front End using Javascript, preferably on any of its Frameworks like Angular/React/Vue.js Strong knowledge on Python Programming Application Development and API Development Able to work independently. Should have a good understanding of OOPs and Data structures Experience in writing advanced SQL,PL/SQL Knowledge of MongoDB is added advantage Creating self-contained, reusable, and testable modules and components. Have used version control system (SVN/Git/BitBucket) Knowledge of DevOps processes and platforms including Jenkins, SonarQube for deployment to ECS Knowledge of basic AWS services EC2, S3,CloudWatch and aware of basic Linux commands

• 2+ years of professional experience working with Python backend frameworks, specifically Django and Fast API. • Experience with ORMs including Django ORM and SQL Alchemy.

5+ years of experience with Python Strong focus on code review and technical architecture Expertise Fast API Framework Knowledge of object-relational mapping (ORM) Familiarity with front-end technologies

Role & responsibilities Job Overview: We are seeking a skilled API / Back End Developer with expertise in Python to join our dynamic team. You will be responsible for designing, developing, and maintaining robust APIs and back-end services that support our applications. Your work will be critical in ensuring seamless integration and functionality across our platform. Key Responsibilities: Design and implement scalable APIs using Python frameworks such as Flask or Django. Collaborate with front-end developers to integrate user-facing elements with server-side logic. Optimize applications for maximum speed and scalability. Write clean, maintainable, and efficient code. Conduct code reviews and provide constructive feedback to team members. Troubleshoot and debug applications. Collaborate with cross-functional teams to define, design, and ship new features. Stay up to date with emerging technologies and industry trends. Qualifications: Bachelor's degree in computer science, Engineering, or a related field. Proven experience as a Back End Developer or similar role. Experience with automating cloud APIs. Cloud Architecture certifications preferred Strong proficiency in Python and experience with frameworks like Flask, Django, or FastAPI. Familiarity with RESTful API design and implementation. Experience with database management systems (e.g., PostgreSQL, MySQL, MongoDB). Understanding of version control systems (e.g., Git). Knowledge of cloud services (e.g., AWS, Azure) is a plus. Excellent problem-solving skills and attention to detail. Strong communication skills and ability to work in a team environment. Preferred Skills: Experience with containerization (Docker, Kubernetes). Familiarity with CI/CD pipelines and DevOps practices. Knowledge of API documentation tools (e.g., Swagger, Postman).

Role & responsibilities Develop, test, and maintain backend services using Python and frameworks such as FastAPI or Flask . Implement and optimize LLM-based applications using models like OpenAI (GPT-4o) , Gemini , LLaMA , etc. Work on RAG implementations , including integration with vector databases and prompt engineering strategies. Design, build, and maintain database connectivity using SQL for infrastructure-level applications. Develop and deploy containerized applications using Docker , Git , GitHub , and integrate with CI/CD pipelines . Deploy and manage applications on cloud platforms ( AWS , Azure , GCP ). Ensure clean code practices including unit testing , error handling , Python best practices , and design patterns . Collaborate with cross-functional teams including Product, Data Science, and DevOps for end-to-end solution delivery. Preferred candidate profile Strong proficiency in Python programming . Familiarity with FastAPI , Flask , or similar web frameworks. Experience with SQL databases and connection management. Hands-on with LLMs and RAG workflows (OpenAI GPT, Gemini, LLaMA, etc.). Understanding of vector databases such as FAISS, Pinecone, or similar. Proficiency with Git , GitHub , and CI/CD pipelines . Experience with Docker for containerization. Exposure to any of the major cloud platforms AWS , Azure , or GCP . Ability to write unit test cases , implement robust error handling , and follow design patterns . Clear understanding of enterprise software development best practices . Someone who have experience working with Banking or Financial Services projects/clients. Immediate Joiner or someone serving notice period.

Job Description: Key Responsibilities: Design and develop RESTful APIs using Python and the FastAPI library. Implement and manage concurrency and threading for performance optimization. Ensure efficient API communication through a solid understanding of the HTTP protocol . Work with authentication mechanisms , including OAuth . Collaborate with frontend developers to integrate user-facing elements with server-side logic. Utilize AWS services for deploying and managing microservices. Containerize applications using Docker for scalable deployments. Handle and process data effectively using Pandas and other data libraries. Participate in code reviews , providing and receiving constructive feedback. Troubleshoot and resolve technical issues in a timely manner. Required Skills & Qualifications: 5- 7 years of experience in Python development. Strong knowledge of REST APIs and hands-on experience with FastAPI . Proficiency in concurrency and threading concepts. Solid understanding of the HTTP protocol . Basic knowledge of AWS services and deployment practices. Experience with Docker for containerization. Strong SQL skills and experience with Postgres databases . Familiarity with Pandas and other data processing libraries. Excellent problem-solving skills and attention to detail. Strong communication and collaboration abilities in cross-functional teams. Preferred Qualifications: Experience with microservices architecture . Knowledge of additional cloud platforms or container orchestration tools (e.g., Kubernetes). Familiarity with CI/CD pipelines and automated testing frameworks.

Job Description: As a Python developer you will contribute in development of generative AI-based applications. You will work with technologies such as Python, FastAPI, Django, PostgreSQL and React JS. Experience with authentication systems such as Entra ID and Keycloak, as well as familiarity with large language models and vector databases, is a strong plus. Key Responsibilities: Develop and maintain Python-based applications using FastAPI and Django. Lead and mentor a team of engineers throughout the development lifecycle. Design and implement scalable RESTful APIs, integrating with front-end technologies such as React JS and Kendo UI. Ensure secure authentication using Entra ID and Keycloak. Optimize PostgreSQL databases for performance and reliability. Troubleshoot and resolve complex technical issues. (Optional) Integrate large language models and vector databases into applications. Skills & Tools: Programming Languages: Python Web Frameworks: FastAPI, Django Front-End Technologies: React JS, Kendo UI controls Database: PostgreSQL API Development: RESTful API design and development Authentication Systems: Entra ID, Keycloak (plus) AI Integration (Optional): LLMs and vector databases (plus) Development Tools: Git, Docker, CI/CD pipelines, VS Code, Azure DevOps, GitHub Soft Skills: Strong problem-solving ability, effective communication, and team collaboration

Responsibilities: * Collaborate with cross-functional teams on AI projects using Python, Django & FastAPI. * Develop machine learning models with PyTorch/TensorFlow and integrate into apps.

ob Title: Python Developer Machine Learning & AI (2–3 Years Experience) Job Summary: We are seeking a skilled and motivated Python Developer with 2 to 3 years of experience in Machine Learning and Artificial Intelligence. The ideal candidate will have hands-on experience in developing, training, and deploying machine learning models, and should be proficient in Python and associated data science libraries. You will work with our data science and engineering teams to build intelligent solutions that solve real-world problems. Key Responsibilities: Develop and maintain machine learning models using Python. Work on AI-driven applications, including predictive modeling, natural language processing, and computer vision (based on project requirements). Collaborate with cross-functional teams to understand business requirements and translate them into ML solutions. Preprocess, clean, and transform data for training and evaluation. Perform model training, tuning, evaluation, and deployment using tools like scikit-learn, TensorFlow, or PyTorch. Write modular, efficient, and testable code. Document processes, models, and experiments clearly for team use and future reference. Stay updated with the latest trends and advancements in AI and machine learning. Required Skills: 2–3 years of hands-on experience with Python programming. Solid understanding of machine learning algorithms (supervised, unsupervised, and reinforcement learning). Experience with libraries such as scikit-learn , pandas , NumPy , Matplotlib , and Seaborn . Exposure to deep learning frameworks like TensorFlow , Keras , or PyTorch . Good understanding of data structures and algorithms. Experience with model evaluation techniques and performance metrics. Familiarity with Jupyter Notebooks, version control (Git), and cloud platforms (AWS, GCP, or Azure) is a plus. Strong analytical and problem-solving skills. Preferred Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, or related field. Experience with deploying ML models using Flask , FastAPI , or Docker . Knowledge of MLOps and model lifecycle management is an advantage. Understanding of NLP or Computer Vision is a plus.

Role & Responsibility Develop and maintain microservice architecture and API management solutions using REST and gRPC for seamless deployment of AI solutions. • Collaborate with cross-functional teams, including data scientists and product managers, to acquire, process, and manage data for AI/ML model integration and optimization. • Design and implement robust, scalable, and enterprise-grade data pipelines to support state-of-the-art AI/ML models. • Debug, optimize, and enhance machine learning models, ensuring quality assurance and performance improvements. • Familiarity with tools like Terraform, CloudFormation, and Pulumi for efficient infrastructure management. • Create and manage CI/CD pipelines using Git-based platforms (e.g., GitHub Actions, Jenkins) to ensure streamlined development workflows. • Operate container orchestration platforms like Kubernetes, with advanced configurations and service mesh implementations, for scalable ML workload deployments. • Design and build scalable LLM inference architectures, employing GPU memory optimization techniques and model quantization for efficient deployment. • Engage in advanced prompt engineering and fine-tuning of large language models (LLMs), focusing on semantic retrieval and chatbot development. • Document model architectures, hyperparameter optimization experiments, and validation results using version control and experiment tracking tools like MLflow or DVC. • Research and implement cutting-edge LLM optimization techniques, such as quantization and knowledge distillation, ensuring efficient model performance and reduced computational costs. • Collaborate closely with stakeholders to develop innovative and effective natural language processing solutions, specializing in text classification, sentiment analysis, and topic modeling. • Design and execute rigorous A/B tests for machine learning models, analyzing results to drive strategic improvements and decisions. • Stay up-to-date with industry trends and advancements in AI technologies, integrating new methodologies and frameworks to continually enhance the AI engineering function. • Contribute to creating specialized AI solutions in healthcare, leveraging domain-specific knowledge for task adaptation and deployment. Technical Skills: • Advanced proficiency in Python with expertise in data science libraries (NumPy, Pandas, scikit-learn) and deep learning frameworks (PyTorch, TensorFlow) • Extensive experience with LLM frameworks (Hugging Face Transformers, LangChain) and prompt engineering techniques • Experience with big data processing using Spark for large-scale data analytics • Version control and experiment tracking using Git and MLflow • Software Engineering & Development: Advanced proficiency in Python, familiarity with Go or Rust, expertise in microservices, test-driven development, and concurrency processing. • DevOps & Infrastructure: Experience with Infrastructure as Code (Terraform, CloudFormation), CI/CD pipelines (GitHub Actions, Jenkins), and container orchestration (Kubernetes) with Helm and service mesh implementations. • LLM Infrastructure & Deployment: Proficiency in LLM serving platforms such as vLLM and FastAPI, model quantization techniques, and vector database management. • MLOps & Deployment: Utilization of containerization strategies for ML workloads, experience with model serving tools like TorchServe or TF Serving, and automated model retraining. • Cloud & Infrastructure: Strong grasp of advanced cloud services (AWS, GCP, Azure) and network security for ML systems. • LLM Project Experience: Expertise in developing chatbots, recommendation systems, translation services, and optimizing LLMs for performance and security. • General Skills: Python, SQL, knowledge of machine learning frameworks (Hugging Face, TensorFlow, PyTorch), and experience with cloud platforms like AWS or GCP. • Experience in creating LLD for the provided architecture. • Experience working in microservices based architecture.

Roles and Responsibilities Develop and maintain Microservice architecture and API management solutions using REST and gRPC for seamless deployment of AI solutions. Collaborate with cross-functional teams, including data scientists and product managers, to acquire, process, and manage data for AI/ML model integration and optimization. Design and implement robust, scalable, and enterprise-grade data pipelines to support state-of-the-art AI/ML models. Debug, optimize, and enhance machine learning models, ensuring quality assurance and performance improvements. Familiarity with tools like Terraform, CloudFormation, and Pulumi for efficient infrastructure management. Create and manage CI/CD pipelines using Git-based platforms (e.g., GitHub Actions, Jenkins) to ensure streamlined development workflows. Operate container orchestration platforms like Kubernetes, with advanced configurations and service mesh implementations, for scalable ML workload deployments. Design and build scalable LLM inference architectures, employing GPU memory optimization techniques and model quantization for efficient deployment. Engage in advanced prompt engineering and fine-tuning of large language models (LLMs), focusing on semantic retrieval and chatbot development. Document model architectures, hyperparameter optimization experiments, and validation results using version control and experiment tracking tools like MLflow or DVC. Research and implement cutting-edge LLM optimization techniques, such as quantization and knowledge distillation, ensuring efficient model performance and reduced computational costs. Collaborate closely with stakeholders to develop innovative and effective natural language processing solutions, specializing in text classification, sentiment analysis, and topic modeling. Design and execute rigorous A/B tests for machine learning models, analyzing results to drive strategic improvements and decisions. Stay up-to-date with industry trends and advancements in AI technologies, integrating new methodologies and frameworks to continually enhance the AI engineering function. Contribute to creating specialized AI solutions in healthcare, leveraging domain-specific knowledge for task adaptation and deployment. Technical Skills: Advanced proficiency in Python . Extensive experience with LLM frameworks (Hugging Face Transformers, LangChain) and prompt engineering techniques Experience with big data processing using Spark for large-scale data analytics Version control and experiment tracking using Git and MLflow Software Engineering & Development: Advanced proficiency in Python, familiarity with Go or Rust, expertise in microservices, test-driven development, and concurrency processing. DevOps & Infrastructure: Experience with Infrastructure as Code (Terraform, CloudFormation), CI/CD pipelines (GitHub Actions, Jenkins), and container orchestration (Kubernetes) with Helm and service mesh implementations. LLM Infrastructure & Deployment: Proficiency in LLM serving platforms such as vLLM and FastAPI, model quantization techniques, and vector database management. MLOps & Deployment: Utilization of containerization strategies for ML workloads, experience with model serving tools like TorchServe or TF Serving, and automated model retraining. Cloud & Infrastructure: Strong grasp of advanced cloud services (AWS, GCP, Azure) and network security for ML systems. LLM Project Experience: Expertise in developing chatbots, recommendation systems, translation services, and optimizing LLMs for performance and security. General Skills: Python, SQL, knowledge of machine learning frameworks (Hugging Face, TensorFlow, PyTorch), and experience with cloud platforms like AWS or GCP. Experience in creating LLD for the provided architecture. Experience working in microservices based architecture. Domain Expertise: Deep understanding of ML and LLM development lifecycle, including fine-tuning and evaluation Expertise in feature engineering, embedding optimization, and dimensionality reduction Advanced knowledge of A/B testing, experimental design, and statistical hypothesis testing Experience with RAG systems, vector databases, and semantic search implementation Proficiency in LLM optimization techniques including quantization and knowledge distillation Understanding of MLOps practices for model deployment and monitoring Professional Competencies: Strong analytical thinking with ability to solve complex ML challenges Excellent communication skills for presenting technical findings to diverse audiences Experience translating business requirements into data science solutions Project management skills for coordinating ML experiments and deployments Strong collaboration abilities for working with cross-functional teams Dedication to staying current with latest ML research and best practices Ability to mentor and share knowledge with team members

Position Purpose Provide a brief description of the overall purpose of the position, why this position exists and how it will contribute in achieving the teams goal. Responsibilities Direct Responsibilities Developing new microservices closely with the Paris team, microservices that will be used by the rest of the development teams so teamwork abilities will be key aspects used in a daily basis Good interpersonal and communication skills. Documentation, Peer review received and to be done User feedback and criticism Code snippets sharing Technical & Behavioral Competencies Programming/Technical Languages High skills on Python with FAST-API bash YAML Essential: Kubernetes and helm deployment CI/CD with tekton Management of APIs (Curl and request library to implement calls in python) Jinja templating Vault Hashicorp Mongodb (NO-SQL DATABASE management) Airflow Kibana

We are hiring a Senior Python DevOps Engineer to develop scalable apps using Flask/FastAPI, automate CI/CD, manage cloud and ML workflows, and support containerized deployments in OpenShift environments. Required Candidate profile 8+ years in Python DevOps with expertise in Flask, FastAPI, CI/CD, cloud, ML workflows, and OpenShift. Skilled in automation, backend optimization, and global team collaboration.