Machine Learning Engineer

Sterling Grove Inc.; Buffalo (NY); On-site; USD 110,000 - 159,000; Full time

Benefits offered by this job

Health insurance

Retirement plan

Professional development

Job summary

Sterling Grove Inc. in Buffalo, NY is seeking a Machine Learning Engineer to design, develop, and deploy ML models that enhance manufacturing operations. You will preprocess data, train and evaluate models, and collaborate with cross-functional teams to integrate solutions into existing systems.

A Master's in CS/ML is required, with practical Python and ML framework experience (TensorFlow, PyTorch). This full-time role offers competitive compensation, health insurance, and a strong retirement

Qualifications

• Master's degree in CS, ML or related field.
• Proficiency in Python; experience with ML frameworks.
• Strong problem-solving and collaboration skills.

Responsibilities

• Develop and implement machine learning models to solve complex business problems.
• Collaborate with cross-functional teams to translate needs into technical solutions.
• Conduct data analysis and preprocessing to ensure data quality.
• Monitor model performance and improve accuracy and efficiency.
• Stay updated with ML advancements and apply to projects.

Skills

Python

R

Data analysis

Communication

Independence

Education

Master's in Computer Science / Machine Learning

Bachelor's in CS/Statistics/Mathematics

Tools

TensorFlow

PyTorch

scikit-learn

Job description

Sterling Grove Inc. is seeking a Machine Learning Engineer in Buffalo, NY, for a full-time position. The role involves developing and implementing machine learning models to enhance manufacturing operations. The salary range is $110,000 - $159,208.

The Machine Learning Engineer will design, develop, and deploy machine learning models. Tasks include data preprocessing, model training, and evaluation. The role also involves collaborating with cross-functional teams to integrate machine learning solutions into existing systems.

The Machine Learning Engineer will work in a dynamic team environment at Sterling Grove Inc. in Buffalo, NY. The workplace is known for its commitment to innovation and excellence in the manufacturing sector.

The annual salary range for this position is between $110,000 and $159,208, providing a competitive compensation package. Employees can expect comprehensive health insurance coverage, including medical, dental, and vision plans, to support their well-being. The company offers a robust retirement plan, such as a 401(k) or pension scheme, to help employees save and plan for their future. Additionally, there are opportunities for professional development, including training programs, workshops, and access to industry certifications, to help employees grow and advance in their careers.

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

Responsibilities

• Develop and implement machine learning models to solve complex business problems.
• Collaborate with cross-functional teams to understand business needs and translate them into technical solutions.
• Conduct data analysis and preprocessing to ensure the quality and relevance of the data used in machine learning models.
• Monitor model performance and make necessary adjustments to improve accuracy and efficiency.
• Stay up-to-date with the latest advancements in machine learning and data science, and apply this knowledge to our projects.

Qualifications

• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.
• 2-4 years of experience in machine learning and data science.
• Proficiency in programming languages such as Python and R.
• Experience with machine learning frameworks like TensorFlow, PyTorch, or scikit-learn.
• Strong problem-solving skills and a detail-oriented approach.
• Excellent communication and collaboration skills to work effectively with cross-functional teams.
• Ability to work independently and manage multiple projects simultaneously.