Sr. AI/ML Engineer

Job Description

Quilr is a start up in stealth mode based out of Austin. We are aiming to solve a problem in the Cybersecurity space that has been untouched till now. The founder has a 12 year history in Cybersecurity and has exited a company for $1B+. We are looking for a Senior Data Scientist to join our team to build a core engine of the product. The Senior Data Scientist will work closely with fellow developers to build the product.

We are looking for someone who is very knowledgeable and a fast learner. Has to be very driven, enthusiastic and wants to be part of building something big. This will be a very high demanding role with very aggressive timelines, long work hours and complex problem statements. If this doesn't excite you and rather scares you, this isn't the role for you.

Responsibilities:

Designing AI/ML systems.

Researching and setting up ML algorithmsand tools.

Selecting appropriate data sets.

Picking appropriate data representation methods.

Identifying differences in data distribution that affect model performance.

Verifying data quality.

Transforming and converting data science prototypes.

Performing statistical analysis.

Running machine learning tests.

Using results to improve models.

Training and retraining systems when needed.

Extending machine learning libraries.

Developing ML apps according to use case requirements.

Staying up to date on new trends and technologies in ML and AI.

Decide,Deploy,Train, tune and Scale AI/ ML models focused on solving particular use cases.

Designing and build data pipelines to feed data to train model and manage them.

Research AI techniques used in Similar problem statements by other organizations.

Understand the space of cybersecurity.

Required Experience:

Advanced math and statistics skills in subjects such as linear algebra, calculus and Bayesian statistics.

An advanced degree in computer science, math, statistics or related fields.

7+ Years of experience in machine learning, neural networks, deep learning or related fields.

Strong analytical, problem-solving, communication and teamwork skills.

Software engineeringskills.

Experience in data science.

Experience with coding and programming languages, including Python, Java, C++, C, Rand JavaScript.

Experience working with ML frameworks.

Experience working with ML libraries and packages, such as the Natural Language Toolkit.

An understanding of data structures, data modeling and software architecture.

Knowledge of computer architecture.

Knowledge and fluency in cloud platforms such as Amazon Web Services (AWS) ands Azure.

Experience with Python for developing machine learning pipelines using scikit-learn or R.

Experience in or can Implement/Develop/Tune/Train - Relational AI/Graph AI models, LLM models, NLP/NLU, Behavioral AI, Computer Vision etc.

This is very young start up, with big dreams. If you think you are up for it feel free to apply.Company Description

This is a very young startup in Stealth mode looking to build a transformative product in the cybersecurity space. Will not stop at anything. Very hardworking and innovative culture.

Full-time