Machine Learning Engineer

TackleAI • Full-time • Schaumburg, IL, US • $125k - $185k / year • 14h ago

About the Company - TackleAI is a Chicagoland software company established to create logical solutions to business challenges. Our diverse team of developers and data scientists combine powerful machine learning with computer vision and proprietary neural networks to turn unstructured documents into intelligible and immediately accessible data.

About the Role - We are looking for a Mid to Senior Level Machine Learning Software Engineer to join our AI startup. You will be part of a dynamic and talented team that is passionate about creating innovative solutions for our customers. You will have the opportunity to work on cutting-edge technologies and projects that have a positive impact.

Responsibilities

Design and implement machine learning pipelines and frameworks
Research and apply state-of-the-art machine learning techniques to solve real-world problems
Evaluate and optimize the performance and scalability of machine learning models and systems
Build end-to-end machine learning pipelines, including data ingestion, preprocessing, feature engineering, model training, validation, and deployment
Conduct experiments and perform statistical analysis to evaluate model performance and identify areas for improvement
Document and communicate your work and results to stakeholders and peers
Test, debug, and monitor the performance and reliability of the AI systems and applications

Qualifications - Bachelor's Degree or higher in Computer Science, Engineering, Mathematics, or a related field

Required Skills

At least 3 years of professional experience in machine learning, data science, or software engineering
Proficiency in Python and one or more machine learning frameworks such as TensorFlow or PyTorch
Knowledge of machine learning concepts and methods such as supervised learning, unsupervised learning, deep learning, natural language processing, computer vision or reinforcement learning
Experience with cloud platforms such as AWS, Azure, or Google Cloud
Excellent communication, leadership, and problem-solving skills

Preferred Skills

Master’s Degree in a Computer or Engineering related field
Exposure to .NET technologies such as ASP .Net core
Experience with other languages such as Rust, and C++, and C#
DevOps experience, Working knowledge of Docker, Kubernetes

Pay range and compensation package - The Salary Range is highly dependent on knowledge, skills, abilities, and prior experience

Equal Opportunity - TackleAI is an equal opportunity employer. In accordance with anti-discrimination law, it is the purpose of this policy to effectuate these principles and mandates. TackleAI prohibits discrimination and harassment of any type and affords equal employment opportunities to employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. TackleAI conforms to the spirit as well as to the letter of all applicable laws and regulations.

Mental/Physical Requirements - This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. This individual will frequently interact with internal stakeholders as well as customers.

Accessibility Accommodation - TackleAI is committed to providing qualified individuals with disabilities reasonable accommodations to perform the essential functions of their jobs. Additionally, if you (or another