What are the responsibilities and job description for the Senior Machine Learning Architect position at Artmac?
Who We Are
Artmac Soft is a technology consulting and service-oriented IT company dedicated to providing innovative technology solutions and services to Customers.
Job Description
Job Title : Senior Machine Learning Architect
Job Type : W2/C2C
Experience: 8-15 Years
Location : CINCINNATI , Ohio, Santa Clara, New Mexico
About The Role
We are seeking a highly skilled and experienced Senior Machine Learning Engineer to join our team. As a Senior Machine Learning Engineer, you will be responsible for developing and deploying innovative machine learning solutions to address complex business problems. You will work closely with cross-functional teams to translate business needs into technical requirements and deliver impactful results.
Responsibilities
Artmac Soft is a technology consulting and service-oriented IT company dedicated to providing innovative technology solutions and services to Customers.
Job Description
Job Title : Senior Machine Learning Architect
Job Type : W2/C2C
Experience: 8-15 Years
Location : CINCINNATI , Ohio, Santa Clara, New Mexico
About The Role
We are seeking a highly skilled and experienced Senior Machine Learning Engineer to join our team. As a Senior Machine Learning Engineer, you will be responsible for developing and deploying innovative machine learning solutions to address complex business problems. You will work closely with cross-functional teams to translate business needs into technical requirements and deliver impactful results.
Responsibilities
- Model Development: Design, develop, and deploy machine learning models (supervised, unsupervised, and deep learning) using Python and relevant libraries (TensorFlow, PyTorch, Scikit-learn).
- Data Engineering: Clean, preprocess, and engineer features from large and diverse datasets.
- Model Evaluation: Evaluate model performance using appropriate metrics and techniques.
- Deployment: Deploy models into production environments, ensuring scalability and reliability.
- Collaboration: Collaborate with domain experts to understand business requirements and translate them into technical solutions.
- Innovation: Stay up-to-date with the latest advancements in machine learning and explore new techniques.
- Team Leadership: Mentor junior team members and guide their technical growth.
- Strong proficiency in Python programming language and machine learning libraries (TensorFlow, PyTorch, Scikit-learn).
- Experience with data engineering tasks, including data cleaning, preprocessing, and feature engineering.
- Solid understanding of machine learning algorithms (supervised, unsupervised, and deep learning).
- Experience with cloud platforms (Azure, AWS, GCP) and cloud-based machine learning tools.
- Strong problem-solving and analytical skills.
- Excellent communication and collaboration skills.
- Experience with project management and agile methodologies.
- Bachelor's degree or equivalent combination of education and experience
