AI Engineer (Data Science & Analytics)

## Full Description

Key Responsibilities:

Develop, implement, and optimize AI and machine learning models for various business applications.

Perform data analysis, feature engineering, and data visualization to extract actionable insights.

Design and build scalable ETL pipelines to process large datasets efficiently.

Collaborate with cross-functional teams including data engineers, data scientists, and product managers.

Perform data cleaning, preprocessing, and validation to ensure high data quality.

Assist in the deployment and monitoring of AI models in production environments.

Stay updated with the latest trends and advancements in AI, Data Science, and Analytics.

What We Offer:

Competitive salary and benefits package.

Opportunity to work on innovative AI projects.

Dynamic and collaborative work environment.

Continuous learning and development opportunities.

Required Qualifications:

Bachelor s or Master s degree in computer science, Data Science, Statistics, or a related field.

2-4 years of relevant experience in AI, Data Science, or Analytics projects.

Strong programming skills in Python, R, or similar languages.

Experience with AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn.

Hands-on experience with ETL tools and data integration techniques.

Good understanding of SQL and NoSQL databases.

Experience with cloud platforms (AWS, Azure, or GCP) is a plus.

Knowledge of data visualization tools (Tableau, Power BI, etc.) is advantageous.

Strong problem-solving skills and a data-driven mindset.

Excellent communication skills and ability to work collaboratively in a team.

Preferred Skills:

Experience with NLP, Computer Vision, or Deep Learning.

Knowledge of Big Data technologies (Spark, Hadoop).

Familiarity with CI/CD pipelines for ML workflows.

Publications or contributions to open-source AI projects.