Machine Learning Engineer

6 days ago

Kuala Lumpur, Kuala Lumpur, Malaysia Snappymob Full time
About Snappymob Malaysia

We build top-tier custom iOS, Android, and web applications that deliver seamless user experiences and scalability.

Our team turns ideas into functional, user-friendly solutions for various industries.

  • Design, prototype, and implement machine learning models for financial applications, including predictive analytics, risk modeling, and trading algorithms.

  • Identify, collect, clean, and preprocess structured and unstructured financial data from multiple sources, including web data extraction.

  • Build and optimize training pipelines for experimentation and production deployment. Work with engineers to deploy and scale machine learning models in real-world environments.

  • Fine-tune and optimize foundational AI models, including LLMs, RAG, and agent-based applications to enhance decision-making and automation.

  • Work closely with cross-functional teams, including software engineers, data scientists, and business stakeholders, to translate business needs into effective ML solutions.

  • Define the data science roadmap and establish best practices for model development, versioning, and deployment. Stay updated on industry trends and emerging technologies.

What we need:

You should have the ability to translate complex financial and business challenges into ML-driven solutions and communicate findings effectively.

  • Solid understanding of financial markets, algorithmic trading, and risk management strategies.

  • Experience in classical ML models, inference systems, and fine-tuning generative AI models.

  • Strong skills in data scraping, extraction, transformation, and pipeline development for large-scale datasets.

  • Proficiency in Python and ML frameworks like PyTorch, TensorFlow, Keras, Scikit-learn, NumPy, and Pandas.

  • Strong coding ability with experience in Git, CI/CD, Docker, and Kubernetes.

  • Familiarity with MLflow, Kubeflow, Airflow, and cloud-based ML services for model management and deployment.

  • Shown a track record of being able to execute with minimal high-level guidance from C-levels.

Nice to have:

Experience with Spark, Dask, Snowflake, and BigQuery for large-scale data handling.

  • Knowledge of Graph Neural Networks (GNNs) and time-series forecasting for financial applications.

  • Experience with LLMs, RAG, LangChain, LlamaIndex, and AI-driven automation.

  • Familiarity with AWS, GCP, or Azure for scalable ML model deployment.

Why join us?

Shape a new business and work on exciting projects that push your skills further.

  • Employer-sponsored work visa for relocation assistance.

  • Innovative and accessible location near public transportation.

  • Career growth through mentorship and continuous learning.

  • Flexible work arrangements for better work-life balance.

  • Competitive salary up to MYR 8,000.

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