Machine Learning Engineer
About Us
At HexionLab, we push the boundaries of machine learning and artificial intelligence to build innovative solutions that transform industries. Our mission is to create intelligent systems that address complex problems, drive efficiency, and unlock new opportunities. Join us on our journey to shape the future with ML-driven technologies.
Position Overview
As a Machine Learning Engineer at HexionLab, you will design, build, and optimize machine learning models and systems. You will collaborate with data scientists, software engineers, and product teams to develop scalable and impactful solutions that leverage machine learning to its fullest potential.
Key Responsibilities
- Develop, train, and deploy machine learning models using state-of-the-art algorithms and tools.
- Collaborate with cross-functional teams to integrate ML solutions into products and services.
- Conduct data preprocessing, feature engineering, and model evaluation to enhance performance.
- Optimize and fine-tune machine learning models for deployment and scalability.
- Stay up-to-date with the latest developments in ML, including new algorithms and tools.
- Contribute to research initiatives and explore innovative ways to improve ML systems.
- Document workflows, code, and model performance to support collaboration and transparency.
What You’ll Gain
- Hands-on experience building and deploying impactful ML solutions.
- Collaboration with a team of experienced ML and AI professionals.
- Opportunities to work on innovative projects that have a real-world impact.
- A supportive work environment that fosters creativity, growth, and collaboration.
Skills and Qualifications
- 3+ years of experience in developing and deploying machine learning models in production environments.
- Strong programming skills in Python and familiarity with ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
- Solid understanding of data preprocessing, feature selection, and data transformation.
- Experience with model optimization, hyperparameter tuning, and model deployment pipelines.
- Familiarity with cloud platforms (AWS, Azure, GCP) for ML model deployment is a plus.
- Strong analytical skills, problem-solving abilities, and a passion for machine learning.
- Ability to work collaboratively and communicate complex concepts to technical and non-technical stakeholders.
Ready to Join Us?
If you are passionate about machine learning and eager to apply your skills to solve complex challenges, we want to hear from you. Join HexionLab and help shape the future of ML-driven innovation.
Contact us at the HexionLab office or submit a business inquiry online.
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