Python Developer

 
We are looking for a skilled Python Developer to join our team within a project for our US-based client in the consulting and financial domain. You'll join a team of skilled and mature developers taking part in technology-related decisions.  

Our projects: We create AI-Powered Data Automation tools that leverage large language models to automate the ingestion, extraction, and consumption of information through different cloud services like AWS and Azure. 
 

Requirements 

• 4+ years of experience in software development using Python 

• Hands-on experience with AWS services such as GlueJobs, SageMaker, S3, Lambda, and EC2 

• Strong understanding of machine learning concepts, NLP, and G GPT4 as other LLM models in general. 

• Experience working with relational databases, PostgreSQL, or others 

• Experience in building, training, and deploying machine learning models 

• Familiarity with ETL processes and data transformation using AWS GlueJobs 

• Strong knowledge of web services, API development, and RESTful APIs 

• Experience with at least some of the following web frameworks FastAPI, Flask and Django 

• Experience with Python Async ecosystem  

• Proficient understanding of code versioning tools, such as Git 

• Familiarity with agile development methodologies, such as Scrum or Kanban 

• Excellent problem-solving skills and attention to detail 

• Strong verbal and written communication skills 

Responsibilities 

• Develop, maintain, and deploy applications using Python, focusing on integrating ChatGPT, AWS GlueJobs, and AWS SageMaker 

• Design, build, and deploy machine learning models using AWS SageMaker 

• Implement ETL processes using AWS GlueJobs to process and transform large datasets 

• Collaborate with cross-functional teams to define, design, and ship new features and enhancements 

• Optimize applications for maximum performance, scalability, and maintainability 

• Troubleshoot, debug, and resolve software defects and issues 

• Keep up to date with the latest industry trends and technologies to ensure the software is current and competitive 

• Provide technical guidance and support to other team members 

• Write clean, maintainable, and well-documented code 

• Participate in code reviews and contribute to improving code quality 

Nice-to-haves: 

• Experience working with other AI and NLP technologies, such as OpenAI's GPT family, TensorFlow, or PyTorch 

• Experience with Snowflake 

• Knowledge of containerization and orchestration technologies, such as Docker and Kubernetes 

• Design, build, and deploy machine learning models using AWS SageMaker 

Expected qualifications 

• Build and deliver complex features with confidence 
  You take ownership of major parts of a project, building advanced features that meet both technical and business needs. 

• Make smart technical decisions and contribute to design discussions 
  You can design and implement solutions independently, and you help shape system architecture to support scalability and long-term goals. 

• Support and mentor junior developers 
  You share your experience with less-experienced teammates, offering guidance on code quality, design choices, and development best practices. 

What we offer   

• Continuous learning and career growth opportunities 

• Professional training and English/Spanish language classes   

• Comprehensive medical insurance 

• Mental health support 

• Specialized benefits program with compensation for fitness activities, hobbies, pet care, and more 

• Flexible working hours 

• Inclusive and supportive culture