
Job Highlights
- Lead AI/ML research and development initiatives across the organization.
- Design and deploy production-grade machine learning models.
- Collaborate with engineering and product teams to integrate AI solutions.
- Explore emerging AI trends and evaluate new techniques for adoption.
- Mentor junior data scientists and foster a culture of experimentation.
- Publish research findings and contribute to open-source projects.
- Work with cutting-edge tools like PyTorch, TensorFlow, and Hugging Face.
- Join a team that values innovation, curiosity, and impact.
Job Description
As a Senior AI Scientist, you will lead the development of advanced machine learning models and AI solutions that drive business value. You will work closely with cross-functional teams to identify opportunities for AI integration, design experiments, and deploy models at scale. This role combines deep technical expertise with strategic thinking to push the boundaries of what's possible with AI.
Job Responsibilities
- Develop and deploy advanced ML models for NLP, computer vision, and recommendation systems.
- Conduct research on emerging AI/ML techniques and evaluate their applicability.
- Collaborate with product and engineering teams to integrate AI into products.
- Design and run A/B tests and experiments to validate model performance.
- Build and maintain ML pipelines for training, evaluation, and deployment.
- Ensure model fairness, interpretability, and compliance with ethical standards.
- Stay updated with the latest research papers and industry trends.
- Train engineering teams on AI/ML best practices and methodologies.
Job Requirements
Education & Experience:
- Master's or PhD in Computer Science, AI, or related field.
- 2+ years of experience in machine learning or AI research.
Technical Skills:
- Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow).
- Experience with NLP, computer vision, or recommendation systems.
- Familiarity with cloud ML services (AWS SageMaker, GCP Vertex AI).
- Knowledge of MLOps practices and model deployment strategies.
- Experience with data processing tools like Spark or Pandas.
Soft Skills:
- Strong analytical and research-oriented mindset.
- Excellent communication and presentation skills.
- Proactive approach to experimentation and continuous learning.
About Code Gradients
Code Gradients was founded with a simple vision to ensure great ideas are never limited by technology. We're a close-knit team of strategists, designers, and engineers dedicated to turning innovative concepts into impactful digital products.
We go beyond development building long-term relationships grounded in trust, transparency, and a shared drive for excellence.






