Job Summary: We are seeking a talented and experienced Machine Learning Engineer to join our team. As a Machine Learning Engineer, you will be responsible for designing, implementing, and deploying machine learning models and algorithms to solve complex business problems. You will collaborate with cross-functional teams to develop innovative solutions that leverage the power of machine learning.
- Research, design, and implement machine learning models and algorithms to solve business problems and extract actionable insights from data.
- Collaborate with data scientists, software engineers, and domain experts to understand project requirements and translate them into machine learning solutions.
- Preprocess and clean large datasets, and perform feature engineering to enhance model performance.
- Train, evaluate, and fine-tune machine learning models using appropriate evaluation metrics and techniques.
- Implement and optimize machine learning models for efficient deployment and inference.
- Work closely with software engineers to integrate machine learning solutions into production systems or applications.
- Conduct experiments, analyze results, and iteratively improve model performance and accuracy.
- Stay up-to-date with the latest advancements in machine learning techniques, frameworks, and tools, and recommend their adoption when appropriate.
- Collaborate with the data engineering team to ensure the availability, quality, and integrity of data.
- Bachelor's degree in Computer Science, Data Science, or a related field. A master's or Ph.D. degree is a plus.
- Proven experience as a Machine Learning Engineer, Data Scientist, or a similar role, with a track record of successfully delivering machine learning solutions.
- Strong proficiency in programming languages such as Python or R.
- Solid understanding of machine learning algorithms, statistical analysis, and data preprocessing techniques.
- Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn.
- Familiarity with cloud platforms and their machine learning services (e.g., AWS SageMaker, Google Cloud ML Engine) is a plus.
- Knowledge of big data technologies and distributed computing frameworks (e.g., Hadoop, Spark) is desirable.
- Strong software engineering skills, including version control (e.g., Git), testing, and debugging.
- Excellent problem-solving skills and the ability to analyze and interpret complex data.
- Strong communication skills to collaborate with cross-functional teams and present findings to non-technical stakeholders.
- This is a full-time position
- Competitive salary
- Opportunities for professional growth and career advancement.