JOB DESCRIPTION

Responsibilities

• Work on problems that run the gamut from building Machine Learning / Deep Learning models to developing full-scale production systems.
• Train and Predict on Gigworks’s unique data sets.
• Build, deploy, maintain and optimize machine learning-based solutions.
• Conduct experiments to test out different solutions to measure and understand their impact.
• Analyze data and define metrics for feature evaluation and model performance.
• Design and implement robust data pipelines.
• Identify and build new approaches and methods for machine learning as we grow.

Requirements

• Bachelor/Master/PhD Degree in Computer Science, Math, EE or similar field.
• +2 years of experience in distributed systems in production or in developing production-grade machine learning.
• Strong analytical skills using SQL, Python, Spark, Sklearn etc.
• Solid software engineering and coding skills. In addition to Python, experience in at least one backend language like Go, Scala, Java, C++ or other is required
• Solid understanding of Machine Learning / Deep Learning and the existing frameworks such as Tensorflow and PyTorch
• Experience with cloud-based big data and machine learning services is a plus
• Self-motivated, curious, team-player, problem solver
• Detail-oriented and focused in a dynamic and fast-paced working environment.

Interested candidates may send in your detailed resume, last drawn and expected salary to hr@gigworks.co.

Only shortlisted candidates will be notified.

JOB RESPONSIBILITY

Responsibilities

• Work on problems that run the gamut from building Machine Learning / Deep Learning models to developing full-scale production systems.
• Train and Predict on Gigworks’s unique data sets.
• Build, deploy, maintain and optimize machine learning-based solutions.
• Conduct experiments to test out different solutions to measure and understand their impact.
• Analyze data and define metrics for feature evaluation and model performance.
• Design and implement robust data pipelines.
• Identify and build new approaches and methods for machine learning as we grow.

JOB REQUIREMENT

Requirements

• Bachelor/Master/PhD Degree in Computer Science, Math, EE or similar field.
• +2 years of experience in distributed systems in production or in developing production-grade machine learning.
• Strong analytical skills using SQL, Python, Spark, Sklearn etc.
• Solid software engineering and coding skills. In addition to Python, experience in at least one backend language like Go, Scala, Java, C++ or other is required
• Solid understanding of Machine Learning / Deep Learning and the existing frameworks such as Tensorflow and PyTorch
• Experience with cloud-based big data and machine learning services is a plus
• Self-motivated, curious, team-player, problem solver
• Detail-oriented and focused in a dynamic and fast-paced working environment.