Machine Learning Engineer

Role Overview:

We are hiring a Machine Learning Consultant with strong experience in building and deploying ML systems in production. The role focuses on solving real business problems using data, not just experimentation.

Key Responsibilities:

- Perform EDA on structured, semi-structured, and unstructured data

- Build and deploy end-to-end ML pipelines

- Select, train, and optimize ML models

- Work on supervised and unsupervised learning problems

- Implement deep learning models where required

- Integrate ML models into production systems via APIs

- Collaborate with stakeholders to define and solve business problems

- Monitor and improve model performance in production

Requirements:

- 6+ years Minimum, Machine Learning / Data Science

- Strong proficiency in Python programming.

- Hands-on experience in Exploratory Data Analysis (EDA).

- Strong understanding of Machine Learning algorithms and statistical concepts.

- Experience with supervised and unsupervised learning techniques.

- Hands-on experience with XGBoost, Random Forest, and other ensemble learning algorithms.

- Experience developing deep learning models using CNN, RNN/LSTM, and Transformer architectures.

- Expertise in model evaluation, validation, and hyperparameter tuning.

- Strong knowledge of dimensionality reduction techniques such as PCA.

- Experience building and managing end-to-end ML pipelines.

- Strong SQL skills for data extraction, analysis, and transformation.

- Experience deploying and managing machine learning solutions on AWS.

- Experience with Azure.