AI and Machine Learning Professional

2 days ago

Singapore beBeeEngineer Full time $80,000 - $120,000
AI and ML Engineer

We're seeking a skilled AI and Machine Learning Engineer to join our team.

This is an excellent opportunity for someone who wants to work on cutting-edge technologies and architectures.

The successful candidate will be responsible for designing, developing, and deploying machine learning models in real-world applications.

You'll have the opportunity to work with large datasets, develop predictive models, and optimize algorithms.

This role involves collaborating with cross-functional teams to gather requirements, define objectives, and deploy models into production environments.

You'll also be responsible for training and fine-tuning machine learning models using appropriate algorithms and techniques.

Evaluation of model performance and identification of areas for improvement are also key responsibilities.

This includes employing techniques such as cross-validation, hyperparameter optimization, and ensemble methods.

Additionally, you'll collaborate with software engineers and DevOps teams to deploy machine learning models into production environments.

Implementing APIs and integrating models with existing systems and applications to enable real-time decision-making is also part of this role.

Performance monitoring and maintenance of deployed models are ongoing responsibilities.

You'll continuously improve models by refining algorithms, optimizing code, and incorporating feedback from users and stakeholders.

This position requires strong programming skills in languages such as Python.

Proficiency in machine learning frameworks such as TensorFlow, PyTorch, or Scikit-Learn is essential.

Solid understanding of statistical analysis, probability theory, and hypothesis testing is required.

Familiarity with machine learning tools on cloud platforms (e.g., AWS, Azure, GCP) and distributed computing frameworks (e.g., Spark) is a plus.

The ideal candidate will have hands-on experience in designing, developing, and deploying machine learning models in real-world applications.

Problem-solving and analytical mindset: Ability to analyze complex problems, break them down into solvable components, and develop innovative machine learning solutions.

Strong mathematical and analytical skills are essential.

A team player with excellent verbal and written communication skills, with the ability to convey technical concepts to both technical and non-technical stakeholders.

Proven ability to work collaboratively in a team environment and effectively manage multiple priorities.

Willingness to adapt to evolving technologies and learn new tools and techniques.

Demonstrated commitment to staying updated with the latest advancements in machine learning and artificial intelligence.

An exciting opportunity to make a meaningful contribution to the field of AI and ML.

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