Python Developer for Data Science (with Ops & AWS Experience) in ExpoPlatform ltd

We’re looking for a skilled Python Developer with a strong background in Data Science and Operations to join our team. If you have experience working with AWS, enjoy optimizing AI-driven solutions, and thrive in a collaborative, fast-paced environment, we’d love to hear from you.

Key Responsibilities:

• Monitor and continuously optimize AI-driven solutions, including chatbots, recommendation systems, and LLM agents.
• Design and improve scalable system architectures in collaboration with cross-functional teams.
• Deploy, maintain, and scale solutions on AWS.
• Work closely with data science, product, and engineering teams to implement new features and functionality.
• Debug, troubleshoot, and enhance performance of AI systems.
• Transform MVPs into production-ready, cloud-native solutions.

Core Skills & Qualifications:

• 3+ years of experience in Python development.
• Proficiency in both SQL and NoSQL databases (e.g., PostgreSQL, DynamoDB).
• Proven AWS expertise, particularly with Lambda, SQS, and related services.
• Familiarity with vector databases (e.g., pgvector, Chroma, FAISS).
• Experience working with model service providers like Amazon Bedrock, OpenAI, or Anthropic.
• Strong experience in building microservices and containerized applications using Docker and Amazon ECS.
• Solid understanding of the software development lifecycle, version control (Git), Agile methodologies, and CI/CD pipelines.
• Upper-Intermediate English proficiency or higher (B2+).

Bonus Skills (Nice to Have):

• Familiarity with search engines like ElasticSearch, Typesense, or Milvus for AI search and retrieval.
• Experience with AWS SageMaker (pipelines, model training, processing jobs).
• Knowledge of AWS CloudFormation and infrastructure as code (IaC).
• Understanding of streaming services like Amazon Kinesis.
• Experience with AWS AutoScaling, Elastic Load Balancer, and other high-availability solutions.
• Hands-on experience with data science libraries such as Pandas, NumPy, etc.
• Basic knowledge of machine learning concepts.

What We Offer:

• The opportunity to architect and build scalable, cloud-native systems from the ground up.
• Work with cutting-edge AI and data science technologies in a dynamic environment.