Data Science Engineer

• Develop and implement advanced

  AI/ML models

  to solve complex business problems and drive data-driven insights.
• Design, develop, and deploy machine learning algorithms and deep learning models using

  Python

  and popular frameworks like

  TensorFlow

  and

  PyTorch

  .
• Collaborate with cross-functional teams to understand data requirements and translate business problems into analytical solutions.
• Conduct

  data analysis

  and

  feature engineering

  to improve model accuracy and performance.
• Optimize and fine-tune models for better scalability and efficiency.
• Continuously research and stay updated on the latest trends and techniques in AI, machine learning, and deep learning.
• Work on large datasets, ensuring data integrity and quality while managing data preprocessing pipelines.
• Communicate findings through clear visualizations, reports, and presentations to both technical and non-technical stakeholders.

Required Skills & Knowledge:

• Strong proficiency in

  Python

  programming and libraries (e.g.,

  NumPy

  ,

  Pandas

  ,

  Scikit-learn

  ).
• Experience with

  deep learning frameworks

  like

  TensorFlow

  or

  PyTorch

  .
• Solid understanding of

  machine learning algorithms

  , data processing, and model evaluation techniques.
• Hands-on experience in

  data analysis

  ,

  model deployment

  , and

  scaling AI systems

  .
• Strong analytical, problem-solving, and communication skills.

Preferred Qualifications:

• Degree in

  Computer Science

  ,

  Data Science

  ,

  Mathematics

  , or a related field.
• Experience with cloud-based AI/ML tools (e.g.,

  AWS

  ,

  Azure

  ,

  Google Cloud

  ).
• Familiarity with

  natural language processing (NLP)

  or

  computer vision

  is a plus.