Job details

Machine Learning Engineer

We are seeking a talented and innovative Machine Learning Engineer to join our team. In this role, you will design, develop, and implement machine learning models and algorithms to solve complex business problems. You will work closely with cross-functional teams to turn data into actionable insights and drive our AI initiatives forward.

Key Responsibilities:

Design and develop machine learning systems and algorithms
Analyze large datasets to extract valuable insights and patterns
Implement appropriate ML algorithms and tools to solve specific business problems
Conduct experiments and optimize machine learning models for performance and accuracy
Collaborate with data scientists, software engineers, and product managers to integrate ML solutions into our products
Stay up-to-date with the latest advancements in machine learning and AI technologies
Develop and maintain ML pipelines for data preprocessing, model training, and deployment
Evaluate and improve existing ML systems
Document processes, findings, and methodologies

Required Qualifications:

Bachelor's or Master's degree in Computer Science, Data Science, or a related field
3+ years of experience in machine learning or related field
Strong programming skills in Python, with experience in ML libraries such as TensorFlow, PyTorch, or scikit-learn
Solid understanding of machine learning algorithms, statistical modeling, and deep learning techniques
Experience with data preprocessing, feature engineering, and model evaluation
Proficiency in working with large datasets and distributed computing frameworks (e.g., Spark)
Excellent problem-solving and analytical skills
Strong communication skills to explain complex concepts to both technical and non-technical stakeholders