Job Location: Hyderābād

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.

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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.
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Experience

7+ Years

Location

Bozeman/Hyderabad

Skills

Required Skills:

Bachelors/Masters or Phd in Computer Science or related industry experience

3+ years of Industry/Production Experience in Deep Learning Frameworks in PyTorch or TensorFlow

7+ Years of industry experience in scripting languages such as Python, R.

1+ years of industry experience in setting up production grade pipelines in Kubeflow/MLFlow

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 production edge based models.

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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Job Type: Full-time

Schedule:

• Flexible shift
• Monday to Friday

Experience:

• Pytorch/Tensorflow: 3 years (Required)
• Machine Learning: 7 years (Required)
• total work: 7 years (Required)
• Prototyping: 7 years (Preferred)
• AWS/Azure: 5 years (Preferred)
• Python: 7 years (Preferred)
• NLP: 5 years (Preferred)

Industry:

• Software Development

ThinkDeeply Inc. | Hiring | Consulting Staff EngineerMachine Learning | BigDataKB.com | 1/11/2022

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