We are seeking an experienced Senior Data Science Engineer to join our innovative team.

As a Machine Learning and Generative AI Specialist, you will play a critical role in developing and deploying advanced ML models and algorithms to drive data-driven decision-making processes.

Here are the key responsibilities and desired skills :

Algorithm Development :

- Design and implement machine learning algorithms for various applications, including natural language processing (NLP), recommendation systems, and predictive analytics.

- Leverage your expertise in deep learning and generative AI to create innovative solutions.

Data Processing and Analysis :

- Collect, preprocess, and analyze large-scale datasets.

- Apply statistical techniques and feature engineering to extract meaningful insights from data.

Model Training and Evaluation :

- Train and fine-tune ML models using Python and relevant libraries (e.g., TensorFlow, PyTorch).

- Evaluate model performance using appropriate metrics and iterate to improve accuracy and efficiency.

Deployment and Monitoring :

- Deploy ML models to production environments (e.g., cloud platforms such as Azure, AWS, or GCP).

- Monitor model performance, troubleshoot issues, and ensure robustness and reliability.

Collaboration and Communication :

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

- Communicate results and insights effectively to technical and non-technical stakeholders.

Desired Skills :

- Machine Learning : Strong knowledge of ML algorithms, including supervised and unsupervised learning.

- Generative AI : Experience with generative models (e.g., GANs, VAEs) and their applications.

- Python : Proficiency in Python for data analysis, model development, and scripting.

- Cloud Platforms : Hands-on experience with Azure, AWS, or GCP for model deployment and scalability.

- Natural Language Processing (NLP) : Understanding of NLP techniques, sentiment analysis, and text generation.