Part Time ML Engineer - NO AGENCIES

**Job Title:** Machine Learning Engineer (Short-term Contract) **Location:** Remote **About Us:** We are seeking a skilled Machine Learning Engineer to join our team on a part time, short-term basis to train and tune critical machine learning models from our existing data pipeline, ensuring they meet the required performance metrics for production deployment. **Role Overview:** As a Machine Learning Engineer, you will be instrumental in optimizing our machine learning models' performance. Working closely with our data science team, you will apply your expertise in machine learning algorithms and model tuning to enhance model accuracy and efficiency. This position demands a high level of proficiency in machine learning techniques, along with the ability to work swiftly and efficiently within the tight timeframe. **Key Responsibilities:** - Evaluate and understand the current state of our machine learning models - Implement data preprocessing and augmentation strategies to improve model training. - Train and fine-tune machine learning models to achieve specified accuracy rates. - Collaborate with the data science team to integrate the optimized models into our advanced vision language model. - Document model development processes, including data preprocessing, model architecture decisions, training procedures, and tuning techniques. - Conduct rigorous testing and validation to ensure models perform effectively in real-world scenarios. - Provide regular updates on progress, challenges, and outcomes to the project team. **Required Skills and Qualifications:** - Proven experience in machine learning model development, training, and tuning.. specifically for multi-modal models - Strong proficiency in Python and machine learning libraries (e.g., TensorFlow, PyTorch, Keras). - Familiarity with computer vision and natural language processing techniques. - Ability to work under tight deadlines. - Excellent problem-solving skills and attention to detail. - Strong communication skills, with the ability to work collaboratively in a team environment. **Application Process:** Interested candidates are invited to submit a resume, a cover letter highlighting relevant experience, and, if available, a portfolio of projects or contributions to machine learning initiatives.