Machine Learning Engineer

At Flawless Workflow (Permanent), in Multiple Locations Expires at: 2024-05-14 Remote policy: Full remote At Flawless Workflow, we're dedicated to designing and deploying intelligent, user-centric solutions that genuinely make a difference. We're on the lookout for a Machine Learning Engineer who is skilled in Python and passionate about using AI to solve real-world problems. In our collaborative environment, you'll be among seasoned developers and engineers, sharing knowledge and driving innovation together. Key Responsibilities 

• Design, implement, and research advanced machine learning models , including deep learning, to enhance our applications, primarily using Python.
• Contribute to the evolution of our AI capabilities, integrating your models with our Django-based backend systems.
• Develop, optimize, and research AI-powered features, ensuring they're scalable, robust, and seamlessly integrated.
• Work alongside our experienced team to review code, share insights, and brainstorm innovative AI solutions, including exploring various ML model possibilities.
• Participate in the full lifecycle of AI feature development, from conceptualization and research to coding, debugging, and optimization.
• Focus on crafting AI solutions, particularly in deep learning , that align with our mission to deliver impactful and user-friendly applications.

Culture/mission We're all about creating value and simplifying complex tasks through our applications. Innovation, learning, and teamwork are the pillars of our culture, as we aim to collectively advance and exceed client expectations. Our environment fosters inclusivity and recognizes the importance of each member's contributions. Soft skills

• Analytical Problem-Solving: Ability to navigate complex AI challenges and develop innovative, effective solutions.
• Clear Communication: Capable of explaining intricate AI concepts in understandable terms, facilitating collaboration and knowledge sharing.
• Teamwork : Eager to work within a team, valuing peer input, and contributing to a supportive and dynamic work environment.
• Adaptability : Open to exploring new AI methodologies and tools, keen on staying agile and proactive in a fast-evolving field.
• Initiative : Ready to take charge, identify improvement opportunities, and propose forward-thinking AI strategies.
• Leadership : Potential to guide less experienced colleagues, sharing AI knowledge and best practices.

Main requirements

1. Python Mastery : Deep understanding of Python, with an emphasis on writing clean, efficient AI algorithms.
2. Machine Learning Proficiency : Strong experience in building, deploying, and researching machine learning models, particularly deep learning, in Python.
3. Data Handling : Skilled in preprocessing, analyzing, and extracting valuable insights from diverse datasets.
4. API Integration : Experience in connecting machine learning models with RESTful APIs.
5. Version Control : Proficiency in Git, ensuring collaborative and trackable development processes.
6. Testing & Debugging : Competent in validating machine learning models and using Python's testing frameworks.

Nice to have

1. Experience in NLP or Predictive Analytics : Specialized skills in these areas would be highly beneficial.
2. Deployment Expertise : Knowledge in deploying and scaling Python-based machine learning models, especially those involving deep learning, in production environments.
3. Familiarity with Django : Comfortable integrating AI components into Django-based systems.
4. Deployment and Scalability: Knowledge of deploying Python applications and optimizing for performance and scalability.