Job Title: Machine Learning Engineer
Job Requirements:
- Education: A bachelors degree in Computer Science Engineering Mathematics or a related field. A masters or Ph.D. degree is preferred but not mandatory.
- 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.
- 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.
- 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.
- 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.
- 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.
- Team Collaboration:
- Ability to work independently as well as in a teamoriented collaborative environment.
- Willingness to share knowledge and mentor junior team members.
- Adaptability:
- Flexibility to adapt to changing project requirements priorities and deadlines.
- Ability to thrive in a fastpaced and dynamic work environment.