TEST ML Engineer II

do not apply ML EngineerIntroduction:

As an ML Engineer, you will be responsible for developing machine learning models and algorithms to drive business insights and decision-making. You will work closely with data scientists and software engineers to implement and deploy these models in production environments.

Responsibilities:

• Develop and maintain machine learning models using Python and AWS services.
• Collaborate with data scientists to understand business requirements and translate them into technical solutions.
• Optimize and fine-tune machine learning models for performance and scalability.
• Deploy machine learning models into production environments and monitor their performance.
• Work with cross-functional teams to integrate machine learning solutions into existing systems and processes.
• Stay up-to-date with the latest trends and advancements in machine learning technologies.

Requirements:

Required Skills:

• 5+ years of experience as an ML Engineer.
• Proficiency in Python for developing machine learning models.
• Experience working with AWS services for model deployment and management.
• Strong understanding of machine learning algorithms and techniques.
• Ability to work in a fast-paced environment and meet tight deadlines.

Preferred Skills:

• Experience with API development and integration.
• Familiarity with big data technologies such as Hadoop and Spark.
• Certifications in machine learning or AWS.
• Excellent problem-solving and analytical skills.