Machine Learning Engineer

We are looking for a motivated Machine Learning Engineer to design, build, and deploy ML models and data-driven solutions. This role is ideal for candidates early in their ML career who are eager to work on real-world problems, learn production-grade ML systems, and collaborate with experienced engineers and data scientists.
Key Responsibilities

• Develop, train, and evaluate machine learning models for classification, regression, NLP, or recommendation use cases.
• Assist in building and maintaining ML pipelines for data pre-processing, model training, and inference.
• Work with structured and unstructured data to extract insights and improve model performance.
• Deploy ML models into production environments using APIs or batch pipelines.
• Perform model tuning, validation, and performance monitoring.
• Collaborate with data engineers, product teams, and senior ML engineers to understand requirements and deliver solutions.
• Document experiments, models, and technical approaches clearly.
  

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Required Skills & Experience

• 34 years of experience in Machine Learning, Data Science, or related roles.
• Strong foundation in Python and common ML libraries (NumPy, Pandas, Scikit-learn).
• Basic experience with deep learning frameworks such as TensorFlow or PyTorch.
• Understanding of core ML concepts: supervised/unsupervised learning, model evaluation, and feature engineering.
• Familiarity with SQL and data analysis techniques.
• Exposure to cloud platforms (AWS, Azure, or GCP) is a plus.
• Understanding of version control (Git) and basic software engineering practices.
  

Preferred Skills

• Exposure to NLP and Generative AI projects.
• Familiarity with MLOps concepts (model deployment, monitoring, CI/CD).

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• Experience working with APIs, microservices, or Docker (basic level).
• Academic or personal projects demonstrating ML applications.
  

Soft Skills

• Strong problem-solving and analytical skills.
• Willingness to learn and adapt quickly in a fast-paced environment.
• Good communication skills and ability to work collaboratively.
  

Education

• Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
  

Skills: data science,machine learning,data,ml