Job: Machine Learning Engineer

Position Type: Full-time – Permanent

Location: Bangalore, Karnataka (IN)

Key Responsibilities:

• Working with the data science team to research, develop, evaluate and optimize machine learning, deep learning and data engineering models for different problems.
• Explore and analyze large scale structured and unstructured data through data engineering.
• Take ownership to drive AI technology development to meet customer requirements.
• Deploying developed algorithms on edge devices after optimization to meet customer requirements and maintaining them for improvement to address additional customer requirements in future.

Required Characteristics:

• MSc or PhD in Computer Science, Data Science, Machine Learning, Statistics or in related fields preferred but candidates with Bachelor’s degree in computer science are also welcome to apply provided they have a strong technical knowledge and experience.
• A background in life sciences or agricultural technology will be a plus.
• Understanding about depth and breadth of machine learning, deep learning and statistics.
• At least 2 years of experience in machine learning and deep learning either in academic or industrial domain.
• Experience with any machine/deep learning frameworks like Tensorflow, Keras and PyTorch.
• Experience in training models through GPU computing using NVIDIA CUDA or on cloud.
• Ability to transform research articles into the working solutions to solve real-world problems.
• Strong background in mathematics especially in probability, statistics and linear algebra.
• Experience in data extraction, data transformation, statistical analysis and data modeling.
• Strong background in mathematics especially in probability, statistics and linear algebra.
• Proficiency in Python and related packages like numpy, scikit-learn, PIL, opencv, matplotlib, seaborn, etc.
• Excellent written and verbal communication skills for effectively communicating with the team and ability to present information to varied technical and non-technical audience.
• Must be able to produce solutions independently in an organized manner and also be able to collaborate in a team when required.

Preferred Characteristics (not mandatory to have all):

• Strong foundation in data structures and algorithms in Python or C++
• Advanced knowledge in performance, scalability, numerical accuracy and best practices for implementing various models.
• Proficiency with edge computing principles and architecture preferably for NVIDIA Jetson devices and Raspberry Pi.
• Experience in different model optimization techniques apart from hyperparameter tuning to reduce memory usage without hindering the performance for deploying on edge devices.
• Proficiency with AWS or Azure cloud computing environments.
• Exposure to IoT technology.
• Experience in Agile Application Development and Scrum methodologies to develop efficient, maintainable, readable and production-ready pipelines.