AI/ML Engineer

Responsibilities

Download, clean and organize datasets

Implement deep learning models as per given specifications

Read and present latest papers on deep learning architectures

Setup deep learning foundation models for biological applications

Implement data models as per given specifications

Implement various visualization methods for large scale data

Work closely with other team members and partners to identify most critical data-centered challenges and address them using cutting-edge computational, statistical and machine learning applications.






Requirements
Required Qualifications and Skills:
1 – 3 years of experience and technical expertise in AI platforms, data platforms, deep learning models
Solid understanding of computer science fundamentals

data structures: trees, directed and undirected graphs, hash tables, heaps

algorithms: search, sort, rank, graph based algorithms

Solid understanding of statistical/mathematical concepts

probability theory

correlation metrics

Bayesian probability

Statistical regression methods

Proficiency in Python, C, C++

Expertise in AI frameworks: PyTorch, TensorFlow

Expertise in packages like matplotlib, pandas, seaborn

Firm grasp of modern statistical methods and machine learning techniques, and their applications to large-scale, data

Ability to drive highly collaborative work across the organization and outside the company

Excellent oral and written communication skills