Machine Learning Engineer

Job Title: Machine Learning Engineer

Job Requirements:

1. Education: A bachelors degree in Computer Science Engineering Mathematics or a related field. A masters or Ph.D. degree is preferred but not mandatory.
2. Technical Skills:
   • Proficiency in programming languages such as Python Java or C.
   • Strong understanding of machine learning algorithms and techniques including supervised and unsupervised learning deep learning reinforcement learning and natural language processing.
   • Experience with machine learning frameworks such as TensorFlow PyTorch or scikitlearn.
   • Ability to preprocess data perform feature engineering and evaluate model performance.
   • Familiarity with cloud platforms such as AWS Azure or Google Cloud for deploying and scaling machine learning models.
   • Knowledge of software development best practices version control systems (e.g. Git) and agile methodologies.
3. Analytical Skills:
   • Excellent problemsolving skills and the ability to think critically.
   • Strong mathematical background with knowledge of linear algebra calculus probability and statistics.
   • Ability to analyze large datasets identify patterns and derive actionable insights.
4. Communication Skills:
   • Effective communication skills to collaborate with crossfunctional teams including data scientists software engineers and business stakeholders.
   • Ability to articulate complex technical concepts to nontechnical audiences.
5. Continuous Learning:
   • Eagerness to stay updated with the latest advancements in machine learning and artificial intelligence.
   • Willingness to continuously learn new tools techniques and methodologies to improve skills and enhance job performance.
6. Experience:
   • Previous experience in developing and deploying machine learning models in realworld applications is highly desirable.
   • Experience with data visualization tools such as Matplotlib Seaborn or Tableau is a plus.
   • Familiarity with big data technologies like Hadoop Spark or Kafka is advantageous.
7. Team Collaboration:
   • Ability to work independently as well as in a teamoriented collaborative environment.
   • Willingness to share knowledge and mentor junior team members.
8. Adaptability:
   • Flexibility to adapt to changing project requirements priorities and deadlines.
   • Ability to thrive in a fastpaced and dynamic work environment.