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Key Responsibilities
- Develop, train, and deploy machine learning (ML) and deep learning models to solve industry-specific challenges.
- Design scalable data pipelines and preprocess datasets for training and inference.
- Collaborate with cross-functional teams to integrate AI models into existing systems.
- Research and implement state-of-the-art algorithms for areas like NLP, computer vision, predictive analytics, and generative AI.
- Conduct error analysis and improve models to address bias, fairness, and explainability.
- Document technical processes and results, ensuring knowledge sharing within teams.
What We’re Looking For:
- Proficiency in programming languages like Python, R, or Java.
- Hands-on experience with AI frameworks such as TensorFlow, PyTorch, or scikit-learn.
- Strong knowledge of data preprocessing, feature engineering, and model evaluation metrics.
- Expertise in at least one domain:
- Natural Language Processing (NLP)
- Computer Vision
- Reinforcement Learning
- Generative AI (e.g., GPT, Stable Diffusion)
- Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure) for model deployment.
- Strong grasp of mathematics and statistics (e.g., linear algebra, probability, optimization).
- Ability to explain complex AI concepts to non-technical stakeholders.
- Strong problem-solving and critical-thinking skills.
- Passion for continuous learning and staying updated with the latest AI trends.
Preferred Qualifications:
- Bachelor's or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
- Industry certifications in AI/ML (e.g., AWS AI/ML Certification, Coursera AI Specializations).
- Previous experience in sectors like healthcare, finance, retail, or autonomous systems is a plus.
- Exposure to international markets and the opportunity to work with a diverse team
- Flexible remote working arrangements
- Innovative environment
Getsubstance.co Pte. Ltd. | EA License No: 24C2398
Key Skills
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