Senior Python Engineer

Summary

Join Dreamix, a company founded 18 years ago by passionate IT students, as a Senior Python Engineer. You will design and develop scalable backend services using Python, build and maintain APIs supporting AI/ML pipelines, and collaborate with Data Scientists and ML Engineers. Responsibilities include developing data pipelines, implementing model versioning and deployment (MLOps), defining technical requirements for AI features, and ensuring the reliability and scalability of AI components. You will also contribute to AI model lifecycle management and integrate third-party AI APIs. The ideal candidate possesses 5+ years of Python experience, familiarity with ML tools and MLOps practices, and strong communication skills. Dreamix offers a supportive work environment, flexible hours, unlimited home office, professional development opportunities, and additional benefits.

Requirements

• 5+ years of Python experience in a production environment
• Solid experience with Python frameworks like FastAPI, Flask, or Django
• Experience working with ML tools/frameworks like scikit-learn, PyTorch, TensorFlow, or Hugging Face
• Familiarity with LLMs, RAG architectures, or deploying generative AI models
• Familiarity with MLOps practices and tools (e.g., MLflow, DVC, Airflow, SageMaker, Vertex AI)
• Knowledge of building and deploying RESTful APIs for AI/ML services
• Strong understanding of data structures, algorithms, and software engineering best practices
• Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes)
• Proficiency with data storage solutions (SQL/NoSQL, time-series databases, etc.)
• Excellent communication and collaboration skills

Responsibilities

• Design and develop scalable, production-grade backend services using Python
• Build and maintain APIs and infrastructure that support AI/ML pipelines and models
• Work closely with Data Scientists and ML Engineers to deploy, monitor, and optimize machine learning models
• Develop and optimize data ingestion, preprocessing, and transformation pipelines
• Implement versioning, testing, and deployment for models in production (MLOps)
• Collaborate with cross-functional teams to define technical requirements for AI-powered features
• Contribute to AI model lifecycle management (training, evaluation, retraining, rollback)
• Integrate third-party AI APIs and frameworks into the platform
• Ensure reliability, observability, and scalability of AI components
• Stay up-to-date with emerging tools and best practices in AI engineering and MLOps

Preferred Qualifications

• Experience with vector databases (e.g., Pinecone, Weaviate, FAISS) or embedding search
• Knowledge of real-time data processing and streaming technologies (Kafka, Spark, etc.)

Benefits

• A warm and supportive work environment where you can reach your full potential
• Flexible working hours that allow you to balance your work and personal life
• Unlimited home office to help you stay productive and focused
• Opportunities for professional development, including certifications and training
• Additional benefits for academic teaching and speaking engagements
• Knowledge-sharing sessions where you can learn from our Dreamix team
• Team and company-wide events that bring us together
• Amazing week long summer office and winter office initiatives
• Additional health insurance and dental allowance to ensure your well-being
• Multisport card to encourage a healthy and active lifestyle
• Office massages to help you relax and unwind