Machine Learning Engineer

GetJobSmart; Austin (TX); Vor Ort; USD 120.000 - 180.000; Vollzeit

Zusammenfassung

Forge Advanced Solutions in Austin, TX is seeking a Machine Learning Engineer for a full-time role focused on delivering AI-driven manufacturing solutions. You will design, train, and deploy models to optimize processes, handling data preprocessing, model development, and performance evaluation.

The ideal candidate holds a Master’s degree in CS/EE or a related field, with hands-on Python, TensorFlow, and PyTorch experience, plus strong problem-solving and communication skills in a dynamic

Qualifikationen

• Master's degree in Computer Science, Electrical Engineering, or a related field.
• 2+ years of experience in ML/AI with a strong project portfolio.
• Proficiency in Python and ML frameworks.
• Experience with data preprocessing and model deployment.

Aufgaben

• Develop and deploy machine learning models to solve complex problems in manufacturing.
• Collaborate with cross-functional teams to translate business needs into technical solutions.
• Design and implement scalable ML pipelines for data processing, model training, and deployment.
• Conduct data analysis and feature engineering to improve model performance.
• Optimize ML models for performance, accuracy, and efficiency.
• Stay up-to-date with the latest ML/AI advancements and apply them.
• Document work and share knowledge with the team through presentations.
• Contribute to best practices and standards for ML at Forge Advanced Solutions.

Kenntnisse

Python

Problem-solving

Communication

ML pipelines

Data analysis

AWS

GCP

Azure

Ausbildung

Master's degree in Computer Science, Electrical Engineering, or related field

Tools

TensorFlow

PyTorch

scikit-learn

Jobbeschreibung

Forge Advanced Solutions, a leading tech startup in Austin, TX, seeks a Machine Learning Engineer for a full-time position. This role involves developing and implementing AI-driven solutions for the manufacturing industry.

The Machine Learning Engineer will design, train, and deploy machine learning models to optimize manufacturing processes. Daily tasks include data preprocessing, model development, and performance evaluation.

The team operates in a collaborative environment, fostering innovation and continuous learning. Located in Austin, TX, the workplace is equipped with state-of-the-art technology and resources, including advanced software development tools, high-performance computing systems, and cutting-edge hardware. The office space is designed to encourage open communication and teamwork, with open floor plans and shared workspaces that facilitate spontaneous interactions and idea sharing. The team also has access to a variety of training and development programs, as well as networking opportunities with industry experts and peers.

The salary for this position is negotiable, taking into account the candidate's skills, experience, and the specific requirements of the role. In addition to the base salary, employees are entitled to a comprehensive benefits package that includes health insurance, retirement plans, and opportunities for professional development. These benefits are designed to support the overall well-being and career growth of the employees.

Candidates must have a Master's degree in Computer Science, Electrical Engineering, or a related field. Experience with Python, TensorFlow, and PyTorch is required. Strong problem-solving skills and a passion for AI are essential.

Forge Advanced Solutions is committed to fostering an inclusive and diverse workplace, and as such, is an equal opportunity employer. This means that the company does not discriminate against any applicant based on their race, color, religion, sex, national origin, age, disability, genetic information, sexual orientation, gender identity, or any other characteristic protected by law. The company believes that a diverse workforce is essential for its success and innovation, and encourages all qualified individuals to apply. Forge Advanced Solutions is dedicated to providing a fair and equitable hiring process for all applicants.

Responsibilities

• Develop and deploy machine learning models to solve complex problems in the manufacturing sector
• Collaborate with cross-functional teams to understand business needs and translate them into technical solutions
• Design and implement scalable machine learning pipelines for data processing, model training, and deployment
• Conduct thorough data analysis and feature engineering to improve model performance
• Optimize machine learning models for performance, accuracy, and efficiency
• Stay up-to-date with the latest advancements in machine learning and AI, and apply new technologies to our projects
• Document your work and share your knowledge with the team through presentations and technical writing
• Contribute to the development of best practices and standards for machine learning at Forge Advanced Solutions

Qualifications

• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent experience
• 2+ years of experience in machine learning and AI, with a strong portfolio of projects
• Proficiency in programming languages such as Python, R, or Java
• Experience with machine learning frameworks like TensorFlow, PyTorch, or scikit-learn
• Strong understanding of data structures, algorithms, and statistical methods
• Familiarity with cloud platforms like AWS, GCP, or Azure for deploying machine learning models
• Excellent problem-solving skills and the ability to work independently and as part of a team
• Strong communication skills, both written and verbal, to effectively convey technical concepts to non-technical stakeholders