This role is for one of the Weekdays clients
We are seeking a Senior Machine Learning Engineer to join our dynamic team and help us build intelligent solutions that transform data into actionable insights.
Job Responsibilities:
- Design develop and deploy machine learning models and algorithms to solve complex business problems.
- Collaborate with crossfunctional teams to gather requirements and translate business objectives into technical solutions.
- Conduct data analysis and preprocessing ensuring data quality and relevance for model training.
- Optimize and refine machine learning models for performance and scalability utilizing techniques such as hyperparameter tuning and feature engineering.
- Stay updated with the latest advancements in machine learning artificial intelligence and data science to implement best practices and innovative approaches.
- Mentor junior team members providing guidance and support in machine learning concepts and techniques.
- Document processes methodologies and results presenting findings to stakeholders effectively.
Qualifications:
- Bachelors or Masters degree in Computer Science Data Science Statistics or a related field.
- Proven experience (312 years) in machine learning with a strong portfolio of successful projects.
- Proficiency in programming languages such as Python R or Java and familiarity with ML frameworks (e.g. TensorFlow PyTorch Scikitlearn).
- Solid understanding of machine learning algorithms including supervised and unsupervised learning reinforcement learning and deep learning techniques.
- Experience with data manipulation and analysis tools (e.g. Pandas NumPy) and visualization tools (e.g. Matplotlib Seaborn).
- Knowledge of cloud platforms (e.g. AWS Google Cloud Azure) for deploying machine learning models.
- Strong problemsolving skills and the ability to work independently as well as in a team environment.
- Excellent communication skills with the ability to convey complex technical concepts to nontechnical stakeholders.
data analysis,seaborn,pandas,matplotlib,java,r,machine learning models,feature engineering,tensorflow,numpy,pytorch,hyperparameter tuning,python,ml,scikit-learn,machine learning,data preprocessing,cloud platforms (aws, google cloud, azure)