Who are we?
We are a ML first company, dedicated to providing the cutting-edge machine learning solutions.
Our clients are leading USA tech companies, focused on data and artificial inteligence.
As a Senior Machine Learning Engineer on our team, you will be at the forefront of developing and deploying advanced ML models and algorithms.
What You'll Be Doing:
- Collaborating with cross-functional teams to understand business requirements and identify ML opportunities.
- Conducting data analysis, data preprocessing, and feature engineering to prepare datasets for model training.
- Building, fine-tuning, and validating machine learning models for a variety of applications, from computer vision to natural language processing.
- Optimizing model performance and ensuring scalability to handle large-scale data and real-time inference.
- Exploring cutting-edge ML research and technologies.
- Integrating ML models into production systems and monitoring their performance in real-world environments.
- Contributing to the development of data pipelines and infrastructure to support ML workflows.
Desired Qualifications:
- Strong proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn) for model development.
- Experience with recommender systems.
- Solid understanding of statistical concepts and ML algorithms, with experience in both supervised and unsupervised learning techniques.
- Familiarity with deep learning architectures, such as CNNs, RNNs, and Transformers, and their applications.
- Knowledge of computer vision, NLP, or other specialized ML domains is a strong plus.
- Experience with data preprocessing, data augmentation, and handling noisy or unstructured data.
- Understanding of cloud platforms (e.g., AWS, GCP, Azure) and experience deploying ML models in a production environment.
- Proficiency in version control systems (e.g., Git) and collaborative development practices.
- Strong problem-solving skills and the ability to analyze and interpret complex datasets.
- M.Sc. or Ph.D. in STEM or a related field is a plus.
Why Join Us:
We offer competitive compensation, and ample opportunities for career growth and skill development. Additionally, our flexible work arrangements and work-life balance initiatives ensure you can excel professionally while maintaining a healthy personal life.
Ready to Make an Impact? Apply Now!
We want to hear from you! Send us your resume electronically.
Location: Full remote
Job Type: Full-time