
Data Science Visionary
1 week ago
Expert Machine Learning Professional
We are seeking a highly skilled and experienced Expert Machine Learning Professional to lead our data science team. As a key member of the team, you will be responsible for developing and optimizing machine learning models for classification, regression, clustering, and recommendation systems.
Key Responsibilities:
- Design and implement deep learning architectures using frameworks like TensorFlow, PyTorch, or Keras.
- Analyze large datasets to extract meaningful insights and develop strategies for improvement.
- Deploy ML models into production environments using cloud platforms (AWS, Azure, GCP) or edge devices.
- Collaborate with data engineers to build robust data pipelines and ensure seamless integration.
- Conduct research on emerging AI/ML technologies and apply them to real-world problems.
- Develop clean, maintainable, and well-documented code following best practices.
- Evaluate model performance, conduct A/B testing, and analyze errors to improve results.
- Work with stakeholders to understand business requirements and translate them into actionable AI solutions.
Requirements:
- 4+ years of experience in AI/ML development and leadership.
- Proficiency in Python and ML libraries such as TensorFlow, PyTorch, or Keras.
- Strong understanding of Machine Learning algorithms, deep learning architectures, and statistical modeling.
- Experience with data preprocessing, feature engineering, and model optimization.
- Familiarity with big data technologies (Spark, Hadoop) and databases (SQL, NoSQL).
- Understanding of NLP, computer vision, or reinforcement learning is a plus.
- Ability to work both independently and collaboratively in a fast-paced environment.
Ideal Candidate
- Is a natural leader who can motivate and inspire team members.
- Has excellent communication skills and can effectively translate technical concepts to non-technical stakeholders.
Our Team
Our team is passionate about delivering cutting-edge AI solutions that drive business value. We believe in fostering a collaborative and inclusive environment where everyone can grow and thrive.
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