Senior Machine Learning Engineer

Requirements & Qualifications:

Education

• Bachelors or Masters degree in Computer Science, Data Science, Engineering, or a related technical field.

Technical Experience

• 5+Years years of hands-on experience developing, training, and deploying machine learning models in production environments.
• Proficiency in Python and major ML frameworks such as Scikit-learn, TensorFlow, PyTorch, or Keras.
• Strong experience with data manipulation and analysis using Pandas and NumPy.
• Skilled in data visualization using libraries such as Matplotlib and Seaborn.
• Solid understanding of supervised, unsupervised, and deep learning techniques.
• Experience performing end-to-end Data Analytics , including data cleaning, trend analysis, reporting, and insight generation.

Core Data Skills

• Strong capability in Exploratory Data Analysis (EDA).
• Experience with feature engineering and data preprocessing.
• Good grounding in statistics and mathematical concepts relevant to machine learning.

MLOps & Deployment

• Familiarity with MLOps tools such as MLflow, Kubeflow, or similar platforms.
• Experience working with cloud services (AWS, GCP, or Azure) for model development and deployment.
• Proficiency with version control systems (Git) and CI/CD practices for ML pipelines.

Preferred Qualifications:

• Exposure to NLP, Computer Vision, or Time-Series modeling.
• Experience working with large-scale distributed systems or Big Data technologies like Spark or Hadoop.
• Knowledge of data warehousing solutions and SQL.