Machine Learning Engineer

Machine Learning EngineerAbout the Role

As a Machine Learning Engineer, you will play a key role in designing, developing, and deploying advanced machine learning models to solve complex business challenges. You will collaborate with data scientists, product managers, and software engineers to build scalable solutions that deliver measurable impact. This position is perfect for individuals passionate about leveraging data and artificial intelligence to drive innovation. You will be empowered to research new algorithms, optimize existing ones, and implement end-to-end pipelines in a fast-paced, collaborative environment. Staying abreast of the latest advancements in the field, you’ll contribute to our goal of transforming data into actionable insights that support strategic decision-making.

Responsibilities

• Design, develop, and implement machine learning models and algorithms for various business needs.
   
• Work closely with cross-functional teams to understand requirements and translate them into technical solutions.
   
• Build and maintain scalable and efficient data pipelines for model training and inference.
   
• Perform data exploration, cleaning, and preprocessing to ensure high data quality.
   
• Evaluate model performance using appropriate metrics and implement improvements as needed.
   
• Deploy machine learning models in production environments and monitor their effectiveness.
   
• Conduct research to identify new machine learning techniques and stay up-to-date with industry trends.
   
• Collaborate with engineering teams to integrate machine learning solutions into products and platforms.
   
• Document processes, models, and experiments for transparency and reproducibility.
   
• Contribute to team best practices, code reviews, and knowledge sharing initiatives.
   

Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Engineering, or a related field.
   
• Proven experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
   
• Proficiency in programming languages such as Python or Java.
   
• Strong understanding of statistical modeling, probability theory, and data mining techniques.
   
• Experience with data wrangling, feature engineering, and data pipeline development.
   
• Familiarity with cloud platforms such as AWS, GCP, or Azure for deploying machine learning models.
   
• Strong analytical, problem-solving, and critical thinking skills.
   
• Experience working in an Agile development environment.
   
• Excellent communication and teamwork abilities.
   
• Demonstrated ability to deliver results in a fast-paced and evolving environment.