Description

Lead machine learning projects from initiation to completion, focusing on automated deployment and optimized performance.

This role is on-site.

Responsibilities

• Build stochastic and machine learning algorithms to address business problems.
• Maintain and optimize deep learning models, ensuring seamless deployment across Dev, QA, and Prod environments.
• Perform data cleansing, feature engineering, and exploratory data analysis to extract key insights.
• Collaborate with data engineers to containerize models and build deployment pipelines.
• Implement MLOps workflows, including model tracking, experimentation, and dataset versioning.

Required Skills

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

Preferred Skills

• Experience with machine learning deployment frameworks like Azure ML Studio or AWS SageMaker.

Key Skills

Education

ANY GRADUATE