Lead Assistant Manager

Job Summary:
We are looking for a motivated and skilled Machine Learning Engineer to join our team. The ideal candidate will have hands-on experience in building, deploying, and maintaining machine learning models and pipelines. You will collaborate closely with data scientists, software engineers, and product teams to turn data insights into scalable, production-ready solutions.

Key Responsibilities:

• Design, develop, and deploy machine learning models and algorithms for real-world applications.

• Collaborate with data scientists to understand model requirements and translate prototypes into production code.

• Preprocess, clean, and analyze large datasets to improve model performance and accuracy.

• Optimize and fine-tune models using hyperparameter tuning, feature engineering, and cross-validation.

• Build and maintain scalable data pipelines and automated workflows for model training and deployment.

• Monitor and troubleshoot deployed models, ensuring reliability and performance in production environments.

• Work with engineering teams to integrate ML solutions into existing products and services.

• Stay updated with the latest advancements in machine learning and apply best practices.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.

• 2-5 years of experience in machine learning or data science roles.

• Strong programming skills in Python and experience with ML libraries such as TensorFlow, PyTorch, scikit-learn, or similar.

• Solid understanding of machine learning concepts, algorithms, and statistical methods.

• Experience with data processing tools and frameworks (e.g., Pandas, NumPy, Spark).

• Familiarity with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes) is a plus.

• Knowledge of software engineering best practices, version control (Git), and CI/CD pipelines.

• Strong problem-solving skills and the ability to work both independently and collaboratively.