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Consulting Staff Engineer - Machine Learning

Thinkdeeply

Hyderabad, IN · staff
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Hyderabad, IN
Location
Staff
Seniority
Thinkdeeply
Employer
Machine Learning Engineer jobs
Category

Job Description Want to make every line of code count? Tired of being a small cog in a big machine? Like a fast-paced environment where stuff get DONE? Wanna grow with a fast-growing company (both career and compensation)? Like to wear different hats? Join ThinkDeeply in our mission to create and apply Enterprise-Grade AI for all types of applications. Seeking an M.L. Engineer with high aptitude toward development.

Will also consider coders with high aptitude in M.L. Years of experience is important but we are also looking for interest and aptitude. As part of the early engineering team, you will have a chance to make a measurable impact in future of Thinkdeeply as well as having a significant amount of responsibility. Experience 10+ Years Location Bozeman/Hyderabad Skills Required Skills: Bachelors/Masters or Phd in Computer Science or related industry experience 3+ years of Industry Experience in Deep Learning Frameworks in PyTorch or TensorFlow 7+ Years of industry experience in scripting languages such as Python, R.

7+ years in software development doing at least some level of Researching / POCs, Prototyping, Productizing, Process improvement, Large-data processing / performance computing Familiar with non-neural network methods such as Bayesian, SVM, Adaboost, Random Forests etc Some experience in setting up large scale training data pipelines. Some experience in using Cloud services such as AWS, GCP, Azure Desired Skills: Experience in building deep learning models for Computer Vision and Natural Language Processing domains Experience in productionizing/serving machine learning in industry setting Understand the principles of developing cloud native applications Responsibilities Collect, Organize and Process data pipelines for developing ML models Research and develop novel prototypes for customers Train, implement and evaluate shippable machine learning models Deploy and iterate improvements of ML Models through feedback

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