Job Summary

We are looking for a motivated AI Engineer to join our data science team and help build intelligent solutions that power our next-generation products. In this role, you will design, implement, and maintain machine learning models and contribute to the end-to-end AI pipeline, from data ingestion to deployment and monitoring.

Key Responsibilities

Collaborate with product managers and data engineers to translate business requirements into AI use cases and data pipelines.
Design, prototype, and evaluate supervised and unsupervised learning models using Python libraries such as scikit‑learn, TensorFlow, and PyTorch.
Prepare and clean large datasets, perform feature engineering, and conduct exploratory data analysis to uncover actionable insights.
Deploy models to production using containerization (Docker) and orchestration (Kubernetes) while ensuring scalability and reliability.
Monitor model performance in production, implement drift detection, and iterate on models to maintain accuracy and compliance.

Required Qualifications

1–2 years of hands‑on experience building and deploying machine learning models in a professional setting.
Strong programming skills in Python, with proficiency in libraries such as pandas, NumPy, scikit‑learn, TensorFlow, or PyTorch.
Experience with cloud platforms (AWS, Azure, or GCP) and familiarity with AI services such as SageMaker, Vertex AI, or Azure ML.
Solid understanding of data structures, algorithms, and software engineering best practices.

Preferred Qualifications

Experience with natural language processing or computer vision projects.
Knowledge of MLOps tools like MLflow, Kubeflow, or Airflow for model lifecycle management.
Published research or contributions to open‑source AI projects.

Required Skills

Python programming
Machine learning model development (classification, regression, clustering)
Deep learning frameworks (TensorFlow or PyTorch)
Data preprocessing and feature engineering
Model deployment and containerization (Docker, Kubernetes)
Cloud AI services (AWS SageMaker, GCP Vertex AI, or Azure ML)
Version control with Git
Basic knowledge of SQL and NoSQL databases

Education

Bachelor’s degree in Computer Science, Data Science, Electrical Engineering, or a related field.

Benefits

Competitive salary with annual performance bonuses
Comprehensive health, dental, and vision insurance plans
Flexible work schedule and remote‑work options
Generous paid time off and company‑wide holidays

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