Machine Learning Engineer

Job Title: Machine Learning Engineer

Job Summary

We are seeking a skilled and innovative Machine Learning Engineer to join our team. The ideal candidate will have hands-on experience in building, deploying, and maintaining machine learning models at scale. You will work closely with data scientists, software engineers, and product managers to create robust machine-learning solutions that solve real-world business problems.

Key Responsibilities

1. Model Development & Optimization

   • Design, train, and optimize machine learning models for classification, regression, clustering, recommendation, NLP, and other tasks.
   • Experiment with various algorithms and techniques to improve model accuracy and performance.

2. Deployment & Scalability

   • Build and deploy machine learning models into production environments using MLOps frameworks and tools.
   • Develop scalable APIs and services to integrate machine learning models with existing systems.
   • Monitor and maintain deployed models to ensure performance and reliability over time.

3. Data Engineering & Preprocessing

   • Work with large datasets, ensuring data quality, consistency, and integrity.
   • Develop and maintain data pipelines for training and serving machine learning models.
   • Collaborate with data engineers to ensure efficient data access and storage.

4. Feature Engineering & Selection

   • Identify, extract, and engineer features that improve model performance.
   • Perform feature selection and dimensionality reduction where necessary.

5. Model Evaluation & A/B Testing

   • Evaluate model performance using appropriate metrics and validation techniques.
   • Design and conduct A/B tests or experiments to measure the impact of deployed models on business outcomes.

6. Collaboration & Documentation

   • Collaborate with cross-functional teams, including data scientists, product managers, and software engineers.
   • Document model design, architecture, and deployment processes for future reference.

7. Research & Continuous Learning

   • Stay updated on the latest trends, technologies, and best practices in machine learning and AI.
   • Participate in knowledge-sharing sessions and contribute to the company s technical growth.

Required Qualifications

• Bachelor s or Master s in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
• Proven experience (6+ years) in developing and deploying machine learning models in production environments.
• Strong programming skills in Python and familiarity with machine learning libraries/frameworks (e.g., Scikit-learn, TensorFlow, PyTorch, Keras).
• Experience with cloud platforms (AWS, Google Cloud Platform, or Azure) and containerization tools (Docker, Kubernetes).
• Solid understanding of data structures, algorithms, and software engineering principles.
• Proficiency in working with databases (SQL and NoSQL) and big data tools (Spark, Hadoop).
• Experience with version control (Git) and CI/CD pipelines for machine learning.
• Strong problem-solving and critical-thinking abilities.
• Excellent communication and teamwork skills.

Preferred Qualifications

• Experience in Natural Language Processing (NLP), Computer Vision, or Reinforcement Learning.
• Knowledge of MLOps tools and practices (e.g., MLflow, Kubeflow, SageMaker, Vertex AI).
• Familiarity with AutoML and automated feature engineering techniques.
• Experience in time-series forecasting or anomaly detection.
• Contributions to open-source machine learning projects.