Artificial Intelligence/Machine Learning Engineer

Job Summary :

Key Responsibilities :

- Analyze large and complex datasets to extract meaningful patterns and insights.

- Apply deep learning, NLP, computer vision, and statistical modeling to solve real-world problems.

- Integrate AI/ML models into production using scalable and secure APIs.

- Optimize algorithm performance and automate model retraining workflows.

- Collaborate with data engineers, product teams, and stakeholders to align AI solutions with business goals.

- Perform data preprocessing, feature engineering, and model evaluation using industry best practices.

- Leverage cloud services (AWS, Azure, GCP) to deploy and manage machine learning pipelines.

Technical Skills :

- Programming & Scripting : Python, SQL, OOPs

- Machine Learning & AI :

1. Machine Learning, Deep Learning, NLP, Computer Vision

2. Model Development & Evaluation, Data Preprocessing, Transfer Learning

3. Predictive Modeling, EDA, Feature Engineering

4. Object Detection (YOLOv8), Stable Diffusion (2.1, 2.x, tiny-sd), Segment Anything Model (SAM)

- Frameworks & Tools : Python (scikit-learn, pandas, NumPy), TensorFlow, Keras, PySpark, Streamlit

- Visualization & Reporting : Matplotlib, Seaborn, Advanced Excel

- Cloud & DevOps :

2. Azure (Azure ML Studio, Azure Functions, Azure SQL)

3. Google Cloud (Vertex AI), GitHub

- Databases : MySQL, PostgreSQL, BigQuery

Preferred Qualifications :

- Demonstrated ability to work independently and in cross-functional teams

- Strong communication and documentation skills

- Experience in delivering end-to-end AI solutions in production environments