Job Responsibilities
Develop \& Deploy Models: Design, build, and optimize machine learning models to solve business problems and integrate them into production.
Training \& Evaluation: Train, fine-tune, and evaluate models using techniques like cross-validation, hyperparameter tuning, and ensemble methods.
Deployment \& Integration: Work with engineers/DevOps to implement APIs and integrate models with systems for real-time use.
Monitoring \& Maintenance: Track performance, troubleshoot issues, and continuously improve models.
Data Analysis: Conduct exploratory data analysis, generate insights, and present findings with clear visualizations.
Research \& Innovation: Stay updated on ML/AI advancements and recommend tools, libraries, and best practices.
Requirements
Bachelor’s/Master’s in Computer Science, Data Science, ML, or related field (or equivalent experience).
2+ years’ experience designing, developing, and deploying ML models.
Strong knowledge of ML algorithms, frameworks (TensorFlow, PyTorch, scikit-learn).
Experience with LLMs/Generative AI is a plus.
Proficiency in Python and statistical analysis methods.
Familiarity with cloud ML tools (AWS, Azure, GCP) and distributed frameworks (Spark) preferred.
Strong problem-solving, analytical, and mathematical skills.
Excellent communication skills; able to explain technical concepts clearly.
Collaborative mindset with adaptability and eagerness to learn new technologies.
Your recruiter for this job:
WhatsApp Chally @ 6304 8675 for a quicker response
Connect with me on LinkedIn: https://www.linkedin.com/in/cadeguino/
Chally \| chally@talentsis.com.sg
Talentsis Pte Ltd \| EA No: 20C0312