Machine Learning Engineer

Key Responsibilities:

• Design and develop scalable machine learning models and algorithms.
  
• Collaborate with cross-functional teams to integrate machine learning models into production systems.
  
• Analyze large datasets to extract actionable insights and identify patterns.
  
• Tune and optimize machine learning models for performance and accuracy.
  
• Stay current with the latest advancements in AI and machine learning technologies.
  
• Work with software development teams to ensure models are deployed efficiently and effectively.
  
• Develop and maintain documentation for models, algorithms, and tools used.
  

Requirements

• Bachelor's or Master’s degree in Computer Science, Mathematics, or related field.
  
• Proven experience in machine learning, data science, and AI technologies.
  
• Proficiency in Python, R, or other programming languages used in machine learning.
  
• Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  
• Strong understanding of data structures, algorithms, and statistical modeling.
  
• Familiarity with cloud platforms (AWS, GCP, Azure) for deploying machine learning models.
  
• Excellent problem-solving skills and the ability to work independently or in a team.
  
• Strong communication skills to explain technical concepts to non-technical stakeholders.
  

Preferred:

• Experience with deep learning techniques and natural language processing (NLP).
  
• Prior experience in deploying machine learning models in a production environment.
  
• Familiarity with DevOps practices and tools for machine learning pipelines (e.g., Docker, Kubernetes).
  

Benefits:

• Competitive salary and performance bonuses.
  
• Health, dental, and vision insurance.
  
• Flexible working hours and remote work options.
  
• Professional development opportunities.