Senior Machine Learning Engineer

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.
• Reference: 2MNTi3QRhFd7g2_mqMGabef3lybMEZueY6gFAfr9E2k.

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