- Design and implement machine learning pipelines and frameworks using Python, TensorFlow, PyTorch or other tools
- 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
- Bachelor's Degree or higher in Computer Science, Engineering, Mathematics, or a related field
- 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, PyTorch, Scikit-learn, or Keras
- 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
- Experience in using agile methodologies such as Scrum or Kanban
- Excellent communication, leadership, and problem-solving 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 Python, Rust, and C++, and C#
- DevOps experience, Working knowledge of Docker, Kubernetes
- Utilizing the newest and latest tools & technologies
- A competitive salary and variable compensation package
- Flexible, hybrid work schedule
- Health insurance coverage through Blue Cross Blue Shield
- Vision, Dental, Life, STD, and LTD coverage offerings available
- 11 paid holidays
- 160 hours Paid Time Off annually
- 401(k) – Roth, Traditional, or both
- Diversity focused, inclusive and safe environment
- Collaborative and supportive work environment
- The chance to learn from and grow with industry experts.
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Senior Machine Learning Engineer - Schaumburg, United States - Tackle Ai
Description
Are you passionate about developing cutting-edge AI solutions? Do you have extensive experience in designing, coding, testing, and deploying scalable and reliable software systems? You might be the perfect fit for our Machine Learning Engineer job opportunity
TackleAI is a Chicagoland start-up 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.
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. As a Machine Learning Software Engineer, you will:
To be successful in this role, you should have:
Nice to have:
As a Machine Learning Software Engineer at our AI startup, you will also enjoy:
If you are interested in joining our AI startup and working on exciting projects that make a difference, please submit your resume and portfolio. We look forward to hearing from you
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.
EQUAL EMPLOYMENT OPPORTUNITY POLICY:
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.
ACCESSIBILITY ACCOMMODATION STATEMENT:
TackleAI is committed to providing qualified individuals with disabilities reasonable accommodations to perform the essential functions of their jobs. Additionally, if you (or another applicant of whom you are aware) require assistance accessing or reading this job posting or otherwise seek assistance in the application process, please contact