AI/Machine Learning Engineer | Hybrid

We are seeking passionate, forward-thinking professionals to join our dynamic software engineering team.

Our client is a leading industry provider of electronic component data and parts management software in the electronics industry. They have been the go-to partner for thousands of electronic engineers, supply chain leaders, and procurement experts across Fortune 500 companies. They specialize in technology information with more than 20 years of experience.

The AI/Machine Learning Engineer is responsible for supporting the development and implementation of machine learning solutions that drive innovation across our business. Working alongside experienced engineers and domain experts, you’ll help turn data into actionable insights and contribute to models that power real-world applications.

Key Accountabilities

• Assist in the design and development of machine learning models to solve business problems.
• Perform data cleaning, preprocessing, and exploration to prepare datasets for analysis and modeling.
• Collaborate with team members to analyze data, identify patterns, and extract insights.
• Support the evaluation and improvement of existing models using appropriate metrics and techniques.
• Work closely with cross-functional teams (engineering, product, business) to integrate data science solutions into products and processes.
• Stay current with industry tools and best practices in machine learning and data analysis.

Knowledge, Skills, and Experience

We Are Looking For:

• 3+ years of hands-on experience with machine learning or data analysis projects (academic or industry).
• Proficiency in Python and key libraries (e.g., pandas, NumPy, scikit-learn, matplotlib).
• Solid understanding of machine learning fundamentals, model evaluation, and data preprocessing.
• Good problem-solving skills and a willingness to learn new tools and techniques.
• Strong communication skills and the ability to work in a collaborative environment.

Preferred Qualifications:

• Bachelor’s in Computer Science, Data Science, Statistics, or a related field.
• Exposure to AWS cloud platform or deployment tools is a plus.
• Familiarity with NLP tasks.
• Familiarity with large language models or generative AI technologies is a bonus.