Data Scientist

Senior Data Science Engineer

Here are the key responsibilities and desired skills:

1. Algorithm Development:

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

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

2. Data Processing and Analysis:

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

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

3. Model Training and Evaluation:

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

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

4. Deployment and Monitoring:

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

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

5. Collaboration and Communication:

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

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

Desired Skills:

ML algorithms,

Generative AI:

Python:

Cloud Platforms:

Natural Language Processing (NLP)