Machine Learning Engineer

Responsibilities:

• Model Development: Design and implement machine learning models and algorithms for scalable AI solutions.
• Data Processing: Clean, preprocess, and analyze large datasets to extract meaningful insights and improve model accuracy.
• Model Optimization: Fine-tune and optimize models to enhance performance and ensure scalability in real-world applications.
• Collaborative Problem Solving: Work closely with the AI team to identify business problems and develop innovative AI-based solutions.
• Research & Development: Stay up-to-date with the latest trends and advancements in AI and machine learning technologies to apply them in ongoing projects.

Requirements:

• Education: Pursuing or completed a degree in Computer Science, Data Science, Machine Learning, or related fields.
• Technical Skills:
  • Proficiency in Python and machine learning libraries such as TensorFlow, Keras, PyTorch, or Scikit-learn.
  • Strong understanding of machine learning algorithms and techniques (e.g., supervised, unsupervised, reinforcement learning).
  • Experience with data processing libraries such as Pandas and NumPy.
• Desirable: Familiarity with cloud platforms (e.g., AWS, Google Cloud) and version control tools (e.g., Git).
• Personal Attributes:
  • Self-motivated and proactive in learning new technologies.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and teamwork skills.

Benefits:

• Growth Opportunities: Gain valuable hands-on experience in AI projects with real-world applications, enhancing your technical skills and industry knowledge.
• Monetary Potential: Opportunity for future paid roles as the company scales.
• Intellectual Development: Exposure to cutting-edge machine learning technologies and collaborative learning in a supportive environment.