Job Title: ML Engineer (Vetrex
Java)
Location: Dearborn, MI (Onsite)
Job Summary:
We are seeking a highly skilled ML Engineer with a strong foundation in AI/ML Engineering to join our dynamic team in Dearborn, MI. The ideal candidate will have 7-10 years of experience in developing and deploying machine learning models and algorithms using Vertex and Java Full Stack skills. You will play a crucial role in driving innovation and enhancing our AI capabilities, working closely with cross-functional teams to deliver impactful solutions.
Responsibilities:
Design, develop, and implement machine learning models and algorithms to solve complex business problems.
Collaborate with data scientists, software engineers, and product managers to integrate ML solutions into existing systems.
Conduct data analysis and preprocessing to ensure high-quality input for machine learning models.
Monitor and evaluate model performance, making necessary adjustments to improve accuracy and efficiency.
Stay updated with the latest advancements in AI/ML technologies and methodologies.
Document processes, model architectures, and results to ensure reproducibility and knowledge sharing.
Provide technical guidance and mentorship to junior team members.
Mandatory Skills:
Strong expertise in AI/ML Engineering, including experience with supervised and unsupervised learning techniques.
Proficiency in programming languages such as Python, R, or Java.
Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
Solid understanding of data structures, algorithms, and software engineering principles.
Hands-on experience with data manipulation and analysis tools (e.g., Pandas, NumPy).
Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) for deploying ML models.
Preferred Skills:
Experience with deep learning techniques and frameworks.
Knowledge of natural language processing (NLP) and computer vision.
Understanding of big data technologies (e.g., Hadoop, Spark).
Experience with version control systems (e.g., Git).
Strong problem-solving skills and ability to work in a fast-paced environment.
Qualifications:
Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field.
7-10 years of relevant experience in machine learning and AI engineering.
Proven track record of successfully deploying machine learning solutions in a production environment.
Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.