No of Positions: 1
Location: Bengaluru
Tentative Start Date: June 04, 2022
Work From : Offsite
Rate : $ 12 - 20 (Hourly)
Experience : 5 to 8 Year
Key Responsibilities:
• Explore big data from manufacturing and supply chains and identify unique business insights to drive critical decision making
• Develop machine learning (ML) and operations research (OR) algorithms and tools, such as regression, classification, deep learning, and optimization models for various manufacturing applications.
• Analyze large amounts of data to identify anomalies (pattern detection) and identify predictive signals.
• Deploy efficient and scalable ML solutions to the production system.
• Collaborate with cross-functional teams to apply and deploy machine learning to industrial problems.
Key Qualifications:
• 5+ years of hands-on experience in building analytics and machine learning algorithms to solve real-world problems
• 2+ years’ experience in productionalizing ML systems (MLOps)
• 2+ years’ experience in cloud-based ML dev and deployment (AWS)
• Strong programming skills with proficiency in Python and Github
• Experienced user of machine learning libraries such as sci-kit-learn, scipy, and Tensorflow/PyTorch
• Ability to explain and present machine learning concepts and results to a broad technical audience and executives.
Bonus Points:
• 2+ years’ experience in SQL and data modeling
• Knowledge of full-stack ML development such as Flask (backend), Bokeh, Holoviews, or Dash (front-end)
• Experience with Operations Research (OR) and nonlinear constrained or black-box optimization
• Experience in machine data (sensors, downtime, machine states, etc) for IoT & predictive maintenance applications
• Experience applying deep learning frameworks, such as PyTorch/ Torch, TensorFlow, and Keras to real-world applications
Education:
Master’s or Ph.D. degree in Computer Science, Math, Statistics, Physics, Engineering or related level of
experience required