Machine Learning Engineer

Responsibilities: 

• Design, develop, and implement machine learning models and AI algorithms.
• Collect, clean, and preprocess large datasets for model training and evaluation.
• Select appropriate machine learning algorithms and techniques based on the problem domain and data characteristics.
• Train, evaluate, and optimize machine learning models to achieve desired performance metrics.
• Deploy and maintain machine learning models in production environments.
• Collaborate with cross-functional teams, including software engineers, and product teams to integrate AI/ML solutions into applications or workflows.
• Document and present technical findings and recommendations.
• Contribute to the development of our AI/ML infrastructure and best practices. 
• Stay updated on the latest trends and advancements in AI and machine learning.

Required Skills and Experience: 

• Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related field.
• Minimum of 2 years of experience in AI/ML field.
• Strong programming skills in Python and experience with relevant machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).  
• Solid understanding of statistical methods, machine learning algorithms and techniques (e.g., Regression, Classification, Clustering, Deep learning).  
• Experience with data preprocessing, feature engineering, and visualization tools (e.g., Pandas, Matplotlib)
• Experience with databases (SQL/NoSQL) and data pipelines.
• Experience with deploying and maintaining machine learning models in production.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills.
• Passion for AI/ML and its potential to solve real-world problems.