Machine Learning Engineer

We are looking for a skilled and innovative Machine Learning Engineer to join our team. The ideal candidate will be responsible for designing developing and deploying machine learning models and data-driven solutions that improve business outcomes. You will work closely with data scientists software engineers and product teams to turn data into actionable intelligence.

• Design and implement machine learning algorithms and models for various applications.
• Preprocess clean and analyze large datasets from diverse sources.
• Collaborate with cross-functional teams to define project requirements and success metrics.
• Train test and evaluate model performance using industry-standard metrics.
• Optimize models for scalability and real-time deployment.
• Deploy models into production using tools like Docker Kubernetes or cloud services (AWS Azure GCP).
• Monitor and maintain deployed models for accuracy and performance.
• Document code models and processes for future reference.

• Bachelors or Masters degree in Computer Science Engineering Mathematics or related field.
• Proven experience with Python and libraries such as Tensor Flow PyTorch Scikit-learn etc.
• Strong understanding of machine learning algorithms data structures and software engineering principles.
• Experience with SQL and No
  
  SQL databases.
• Familiarity with cloud platforms and MLOps practices.
• Excellent problem-solving and analytical skills.
• Strong communication and teamwork abilities.

• Ph.D. in a related field.
• Experience in deep learning NLP computer vision or recommendation systems.
• Experience with tools like MLflow Airflow or Kubeflow.
• Contributions to open-source ML projects or published research papers.

• Employment Type:
  
  Full Time
• Experience:
  
  years
• Vacancy: 1