Machine Learning Engineer

UPSKILLS PTE. LTD.; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A leading fintech company in Singapore seeks a motivated Machine Learning Engineer to tackle financial challenges using innovative technology. The ideal candidate has 1-2 years of experience, a degree in a related field, and is proficient in Python and ML libraries. This role includes developing ML models and analyzing data to generate insights. Enjoy mentorship and real-world project experience in a collaborative environment.

Benefits

Hands-on experience with real-world ML projects

Mentorship from experienced professionals

Opportunity for career growth

Qualifications

• 1-2 years of experience in a related field.
• Hands-on experience in machine learning libraries like TensorFlow and PyTorch.
• Experience in deploying large language models (LLMs).

Responsibilities

• Develop and implement machine learning models for financial challenges.
• Utilize large language models for document analysis.
• Conduct exploratory data analysis to generate actionable insights.

Skills

Python programming

Data manipulation

Machine learning libraries (Pandas, NumPy, Scikit-Learn)

Statistical analysis

Data visualization techniques

Problem-solving skills

Excellent communication skills

Education

Master’s or bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics

Tools

TensorFlow

PyTorch

Mistral AI

Whisper AI

Claude AI

Job description

Company Overview:

We are a leading fintech company specializing in capital markets. Our mission is to revolutionize the financial industry through innovative technology and data-driven strategies. We are looking for a motivated and talented Machine Learning Engineer to join our dynamic team and contribute to our cutting-edge projects. We are seeking individuals who are passionate about harnessing the power of Machine Learning (ML) and Artificial Intelligence (AI) to tackle financial challenges. Ideal candidates should possess an open mind and a creative approach to developing innovative solutions for complex financial problems and join our dynamic team and contribute to our cutting-edge projects.

Responsibilities:

• Develop and implement machine learning models to address complex financial and insurance challenges.
• Apply large language models (LLMs) for document analysis and information extraction.
• Utilize machine learning techniques for predictive analytics and data-driven decision-making.
• Collaborate with team members to integrate components into a cohesive AI pipeline.
• Clean, preprocess, and analyze large datasets using statistical and machine learning techniques.
• Design and build scalable machine learning pipelines with data scientists and engineers.
• Conduct exploratory data analysis to generate actionable insights.
• Stay up-to-date with advancements in machine learning and AI to propose innovative solutions.
• Participate in team meetings, brainstorming sessions, and code reviews.
• Document and present your work, findings, and results to both technical and non-technical stakeholders.

Requirements:

• Minimum 1-2 years of experience with a master’s or bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
• Proficient in Python programming with hands-on experience in data manipulation and machine learning libraries, including Pandas, NumPy, Scikit-Learn, TensorFlow, and PyTorch.
• Expertise in exploratory data analysis of large data sets.
• Experience in deploying large language models (LLMs) and familiarity with various AI platforms and tools, including Mistral AI, Whisper AI, and Claude AI etc.
• Familiarity with data preprocessing techniques and tools.
• Knowledge of statistical analysis and data visualization techniques.
• Strong problem-solving skills and ability to work independently as well as in a team.
• Excellent communication skills, both written and verbal.
• Prior experience with financial data or in the fintech industry is a plus.

What We Offer:

• Hands-on experience with real-world machine learning projects in the fintech sector.
• Mentorship and guidance from experienced data scientists and engineers.
• Opportunity to work in a fast-paced, innovative, and collaborative environment.
• Networking opportunities with industry professionals.
• Potential for future career opportunities within the company.

How to Apply: If you are passionate about machine learning and eager to make an impact in the fintech industry, we would love to hear from you. Please submit your resume, a cover letter explaining your interest in the position, and any relevant project or research work to [e-mail].

Equal Opportunity Employer: Klaara is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.