ML Engineer

We are seeking an experienced MachineLearning Engineer with a specialization in Time Series Modeling, DeepLearning, and  technologies like PySpark. The ideal candidate should be adept at utilizing cloud platforms for deploying scalable solutions. This role will focus heavily on building, deploying, and monitoring predictive models, especially related to regression and time series forecasting.
Key Responsibilities:
·  Data Sourcing & Management:
·  Data Cleansing:
·  Coding & Software Development:
·  Develop, validate, and implement predictive regression models.
·  Deep Learning:
·  Cloud Deployment & Management:

Required Qualifications & Skills:
A bachelor's or higher degree in Computer Science, Statistics, Mathematics, or a related field.
Minimum of 5 years of hands-on experience in machine learning, with an emphasis on regression and time series modeling.
Proficiency with Python and its data science libraries (pandas, numpy, scikit-learn).
Hands-on experience with deep learning frameworks such as TensorFlow or PyTorch.
Familiarity with PySpark or equivalent bigdata technologies.
Experience with cloud platforms like AWS, Azure, or GCP.
Experience with SQLServer.
Experience with Elasticsearch, Mongo is a bonus.
Strong problem-solving skills and a passion for innovation.
Excellent communication and interpersonal skills