The Machine Learning Engineer/Scientist will play a key role in developing and implementing machine learning models and algorithms to address complex business challenges. The ideal candidate will have a strong background in machine learning, data analysis, and programming, along with excellent problem-solving and communication skills.
RESPONSIBILITIES:
Acquire and preprocess large datasets for analysis and model training.
Design, develop, and implement machine learning models.
Create data pipeline and data flow
Collaborate with cross-functional teams to understand data requirements and objectives
Evaluate and experiment with different models to optimize performance
Extract relevant features from structured and unstructured data
Identify and create new features to enhance model accuracy and efficiency.
Implement validation strategies to ensure model generalization and robustness
Develop and implement monitoring solutions to track model performance over time.
REQUIRED SKILLS
Proficient in programming languages such as Python, R, or Java.
Strong understanding of machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries.
Experience in Cloud platforms – AWS or CGP
Excellent problem-solving and analytical skills.
REQUIRED EDUCATION/EXPERIENCE
Bachelors or Master's. in Computer Science, Machine Learning, Statistics, or a related field.
7+ years of experience in the IT field
Experience with natural language processing (NLP) or Deep Learning is a big plus