
Lead AI Researcher
1 week ago
As a Senior Data Scientist, you will develop and optimize machine learning models for various tasks such as classification, regression, clustering, and recommendation systems.
Develop deep learning architectures using frameworks like TensorFlow, PyTorch, or Keras to drive business growth.
Analyze large datasets to extract meaningful insights and fine-tune models for performance, accuracy, and efficiency.
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 conduct research on emerging AI/ML technologies.
Apply AI solutions to real-world problems and translate business requirements into actionable insights.
Key Responsibilities:- Develop and optimize machine learning models
- Implement deep learning architectures
- Preprocess and analyze large datasets
- Fine-tune models for performance and accuracy
- Deploy ML models into production environments
- 2-4 years of experience in AI/ML development
- Proficiency in Python and ML libraries
- Strong understanding of Machine Learning algorithms
- Experience with data preprocessing and feature engineering
- Familiarity with big data technologies
- Highly team-oriented and collaborative
- Proper understanding of semantic markup
- Personal projects or frontend related code contributions
In this role, you will have the opportunity to work on diverse projects, leveraging your skills in machine learning and data analysis to drive business outcomes.
You will be working closely with data engineers to design and implement robust data pipelines, ensuring seamless data flow and efficient model deployment.
To succeed in this position, you should possess strong analytical and problem-solving skills, with the ability to communicate complex ideas effectively to both technical and non-technical stakeholders.
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