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.

Key Responsibilities:

• 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.

Requirements:

• Bachelors or Masters degree in Computer Science Engineering Mathematics or related field.

• Proven experience with Python and libraries such as TensorFlow PyTorch Scikit-learn etc.

• Strong understanding of machine learning algorithms data structures and software engineering principles.

• Experience with SQL and NoSQL databases.

• Familiarity with cloud platforms and MLOps practices.

• Excellent problem-solving and analytical skills.

• Strong communication and teamwork abilities.

Preferred Qualifications:

• 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.