As a Senior AI Developer with Data Science expertise, you will design and implement advanced server-side components, create scalable systems, and build high-performance 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 cutting-edge 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 end-to-end 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 enterprise-level applications.
Collaborate closely with cross-functional teams to gather requirements, identify bottlenecks, and deliver impactful solutions.
Mentor junior team members, fostering growth through code reviews, technical guidance, and hands-on training.
Ensure efficient development workflows by integrating TeamCity for CI/CD pipelines and BitBucket for version control.
Maintain high-quality 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:
Bachelor's degree in Computer Science, Data Science, or a related field from a reputable institution.
5+ years of hands-on experience as an AI Developer, with a proven track record of integrating data science into production systems.
Extensive experience with Fast API, Airflow, and Python-based backend development.
Advanced proficiency in Python, including data science libraries such as Pandas, NumPy, and Scikit-learn.
Strong understanding of machine learning techniques, including Light GBM, FAISS, Cat Boost, Neural Networks, and Auto ML.
Expertise in containerization technologies (Docker, Kubernetes) for production-grade deployments.
Solid experience with TeamCity for CI/CD pipelines and Bit Bucket for version control.
Exceptional problem-solving 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 fast-paced environments.
Strong organizational skills, with a demonstrated ability to manage multiple priorities and deliver high-quality 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.
