Artificial Intelligence Engineer
2 days ago
Are you passionate about harnessing the power of artificial intelligence to drive business growth and innovation? Do you have a knack for extracting insights from complex data sets and turning them into actionable recommendations?
About JOBTECH PTE. LTD.
Our company is at the forefront of AI and big labour data analytics, empowering leaders to develop people for new work realities. With a strong presence in both private and public sectors, we're constantly pushing the boundaries of what's possible.
We're not just building technology – we're transforming industries. Our team is comprised of enthusiastic experts who are dedicated to improving the jobs market by merging technology and labour market intelligence. We value empowerment, expertise, and innovation, and we're looking for like-minded individuals to join us on this exciting journey.
Job Description
We're seeking an experienced Artificial Intelligence Engineer with a focus on data science to join our team. In this role, you'll be working closely with internal teams and clients to design and implement cutting-edge AI solutions that deliver real value to our users. You'll leverage your expertise in machine learning, data analytics, and AI to build models that enhance our platform and provide valuable insights to our clients.
Key Responsibilities:
- Data-Driven Insights: Develop and implement AI models that drive value for our platform and clients, focusing on natural language processing, recommendation engines, knowledge graphs, and information extraction.
- Cross-Functional Collaboration: Work with product managers, engineers, and fellow data scientists to ensure machine learning and analytics solutions align with business goals.
- Prototyping and Experimentation: Continuously experiment with new algorithms and data techniques, prototype models, iterate, and test their performance to ensure they meet real-world needs.
- Data Integrity & Architecture: Collaborate with data engineers to design and maintain scalable data architectures, pipelines, and analytics systems.
- Model Deployment & Monitoring: Deploy machine learning models into production environments, monitor their performance, and iterate on improvements to enhance results.
- Data Analytics & Insights: Perform in-depth data analytics, turning raw data into actionable insights that inform product decisions and client strategies. Use statistical and machine learning models to identify trends, patterns, and opportunities for product improvement.
- Client Engagement: Participate in client calls to present data-driven findings and recommendations, collaborate with clients to understand their needs, and ensure our analytics solutions meet their expectations.
Requirements
To succeed in this role, you'll need:
- Educational Background: Master's or PhD in Data Science, Computer Science, Engineering, or a related quantitative field.
- Experience: 2+ years of experience in data science or analytics, with a proven track record of delivering machine learning solutions and driving value through data insights.
- Knowledge Graphs Expertise: Solid understanding and experience with knowledge graph representation and applications, particularly in improving information extraction and recommendation engines.
- Data Analytics Expertise: Strong experience in data analytics, including exploratory data analysis, statistical modeling, and delivering insights to business and client stakeholders.
- Client Communication Skills: Ability to communicate complex data insights to non-technical audiences and engage with clients to address their needs.
Technical Skills
You should be proficient in:
- Advanced Python programming skills, with familiarity with data analysis and machine learning libraries (e.g., pandas, scikit-learn, TensorFlow, PyTorch).
- Experience with SQL and relational databases, with Java being an asset.
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