Machine Learning Engineer

As a Machine Learning Engineer specializing in AI & ML Data Collection, you will play a crucial role in building and scaling our client's Unified AI/ML Data Collection Platform. Your contributions will enable standardized, reliable, and scalable machine learning capabilities across the organization. This position will focus on developing and supporting AI/ML and LLM-driven data systems that power data pipelines, model lifecycle management, evaluation frameworks, and production deployment.

Key Responsibilities:

• Develop and maintain machine learning models and algorithms to enhance data collection processes.
• Collaborate with cross-functional teams to design and implement scalable data pipelines.
• Support model lifecycle management including versioning, monitoring, and retraining of models.
• Create evaluation frameworks to assess model performance and ensure quality standards.
• Assist in the deployment of machine learning models into production environments.

Required Skills & Qualifications:

• Proficiency in programming languages such as Python or Java.
• Experience with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn.
• Familiarity with data processing tools such as Apache Spark or Hadoop.
• Strong understanding of AI/ML concepts and best practices.
• Ability to work collaboratively in a team-oriented environment.

Experience:

• 4-6 years of hands-on experience in machine learning and data engineering roles.

What we offer:

• Opportunity to work on cutting-edge AI/ML projects.
• A collaborative and innovative work environment.
• Professional development and growth opportunities.