As a Senior Python Developer with Data Science expertise you will design and implement advanced serverside components create scalable systems and build highperformance RESTful APIs using Fast API. You will orchestrate workflows with Airflow and deploy machine learning models using Light GBM FAISS Cat Boost Neural Networks and Auto ML. Your role includes mentoring junior team members and collaborating with stakeholders. Proficiency in TeamCity Bit Bucket Docker and Kubernetes is essential for optimizing workflows.
Job Responsibilities:
Drive the application of advanced statistical and machine learning techniques including LightGBM FAISS CatBoost Neural Networks and AutoML to extract actionable insights from complex datasets.
Stay ahead of the curve by researching and implementing cuttingedge AI/ML methodologies to address business challenges.
Design and implement scalable and secure RESTful APIs using FastAPI ensuring optimal performance and reliability.
Integrate data science workflows into backend systems bridging the gap between API layers and backend data processing pipelines.
Design implement and manage complex data pipelines using Airflow optimizing data orchestration for reliability and scalability.
Integrate FastAPI and Airflow to create seamless endtoend systems for data ingestion processing and delivery.
Leverage Docker and Kubernetes to containerize and deploy scalable backend services across cloud environments.
Utilize highly available infrastructure to ensure reliable support for enterpriselevel applications.
Collaborate closely with crossfunctional teams to gather requirements identify bottlenecks and deliver impactful solutions.
Mentor junior team members fostering growth through code reviews technical guidance and handson training.
Ensure efficient development workflows by integrating TeamCity for CI/CD pipelines and BitBucket for version control.
Maintain highquality code through best practices in testing debugging and documentation.
Collaborate with business owners data scientists and other stakeholders to align technical implementations with business goals.
Translate business requirements into scalable technical solutions with measurable outcomes.
Job Requirements:
Bachelors degree in Computer Science Data Science or a related field from a reputable institution.
5 years of handson experience as an AI Developer with a proven track record of integrating data science into production systems.
Extensive experience with Fast API Airflow and Pythonbased backend development.
Advanced proficiency in Python including data science libraries such as Pandas NumPy and Scikitlearn.
Strong understanding of machine learning techniques including Light GBM FAISS Cat Boost Neural Networks and Auto ML.
Expertise in containerization technologies (Docker Kubernetes) for productiongrade deployments.
Solid experience with TeamCity for CI/CD pipelines and Bit Bucket for version control.
Exceptional problemsolving and troubleshooting skills with the ability to handle complex challenges independently.
Strong communication and leadership skills with experience mentoring junior developers.
A proactive approach to innovation and continuous learning with the ability to adapt to fastpaced environments.
Strong organizational skills with a demonstrated ability to manage multiple priorities and deliver highquality work on schedule.
Preferred Qualifications:
Experience deploying AI/ML models in production at scale.
Knowledge of advanced workflow management and monitoring tools.
Familiarity with distributed systems and big data technologies.
إخلاء المسؤولية: د.جوب هو مجرد منصة تربط بين الباحثين عن عمل وأصحاب العمل. ننصح المتقدمين بإجراء بحث مستقل خاص بهم في أوراق اعتماد صاحب العمل المحتمل.
نحن نحرص على ألا يتم طلب أي مدفوعات مالية من قبل عملائنا، وبالتالي فإننا ننصح بعدم مشاركة أي معلومات شخصية أو متعلقة بالحسابات المصرفية مع أي طرف ثالث. إذا كنت تشك في وقوع أي احتيال أو سوء تصرف، فيرجى التواصل معنا من خلال تعبئة النموذج الموجود على الصفحة اتصل بنا