Description

You will design, build, and maintain machine learning models to solve complex business problems.

This role is on-site.

Responsibilities

• Lead projects from initiation to completion, focusing on automated deployment and optimized performance.
• Perform data cleansing, merging, enrichment, and feature engineering to prepare datasets for modeling.
• Build stochastic and machine learning algorithms to address specific business requirements.
• Maintain and optimize deep learning models, ensuring seamless deployment across Dev, QA, and Prod environments.
• Design, prototype, and maintain APIs for consuming machine learning models at scale.

Required Skills

• 3 to 7 years of experience in data science and machine learning.
• Proficiency in Python programming.
• In-depth modeling experience with supervised, unsupervised, and deep learning models (CNN, RNN, LSTM, BERT, Transformers).
• Hands-on experience with PyTorch, Scikit-Learn, TensorFlow, or SparkML.
• Experience with data wrangling, cleaning, preparation, and dimensionality reduction.
• Knowledge of vector algebra, statistical modeling, and probabilistic modeling.
• Strong understanding of advanced statistical techniques, including regression and statistical tests.
• Familiarity with SQL or NoSQL databases.
• Ability to design and maintain data architectures and pipelines.

Preferred Skills

• Experience with ML deployment frameworks such as Azure ML Studio or AWS SageMaker.

Key Skills

Education

ANY GRADUATE