Role overview

Qualifications

Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or related field
3+ years of experience in AI/ML engineering
Proficiency in programming languages such as Python, R, or Java
Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn

Responsibilities

Design, develop, and implement machine learning models and AI algorithms
Collaborate with data engineers to build and maintain robust data pipelines
Optimize machine learning models for performance, scalability, and accuracy
Work closely with data scientists, domain experts, and software developers to integrate AI models into production systems

Key facts

Remote from: Anywhere
Fixed term
Mid-level (2-5 years)
Machine Learning Engineer
English

Hard skills

Machine Learning Computational Intelligence Data Processing Software Engineering Model Building Python (Programming Language) Data Structures Apache Hadoop Kubernetes Natural Language Processing (NLP) Computer Vision Video Analytics Ethical AI

Other skills

Problem Solving
Communication

About the company

WiselyWise Pte. Ltd.

E-Learning / EdTech

The Learning Gap: WiselyWise Empowers LearnersThe knowledge landscape is shifting rapidly. From classrooms to boardrooms, the demand for adaptable skills is soaring. Traditional methods struggle to keep pace, leaving learners frustrated.WiselyWise bridges this gap as your AI-powered learning partner. We offer solutions for individuals and organizations, from schools to corporations. We believe everyone deserves access to personalized, engaging education.Our AI approach tackles three key challenges:1. Bridging Theory and PracticeWe go beyond textbooks with:Industry-Relevant Curriculum: Our content reflects the latest trends in AI, digital marketing, and other in-demand fields. It's practical and applicable to real-world scenarios.Interactive Learning: AI-powered simulations, case studies, and gamified learning create engaging experiences that solidify understanding.2. Equipping for the AI-Driven FutureWe equip learners with vital skills:Critical Thinking and Problem-Solving: We encourage learners to think outside the box and analyze information to devise solutions.Data Analysis and Interpretation: Our courses equip learners with the ability to collect, analyze, and interpret data effectively.3. Optimizing Learning for Busy SchedulesFinding time for learning can be a struggle. WiselyWise alleviates this pressure with:Personalized Learning Paths: Our AI platform tailors learning pathways to individual needs, maximizing efficiency.On-Demand Access: Our platform is accessible anytime, anywhere, catering to busy schedules.The WiselyWise AdvantagePartnering with WiselyWise offers benefits:Enhanced Skill Development: Individuals gain the skills and knowledge needed to stay competitive and excel.Improved Learning Outcomes: Personalized learning pathways and engaging content lead to better knowledge retention.Invest in Your FutureUnlock your full potential, bridge the skills gap, and thrive in the AI era.Contact us today: cxo@wiselywise.com

Company details

Company typeStartup

IndustryE-Learning / EdTech

Company size11 - 50

Links

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Job description

This is a remote position.

About Us:

WiselyWise is a leading innovator in AI-driven technology.

This role will play a critical part in the implementation of AI technologies within the upstream Oil & Gas sector, helping to optimize exploration, drilling, and production processes.

Job Overview:

We are seeking a highly skilled AI/ML Engineer to join our team and drive the development and deployment of advanced machine learning models and AI-driven solutions. The ideal candidate will have a strong background in machine learning algorithms, data processing, and software engineering, with a passion for solving complex problems in a dynamic environment. This role will play a critical part in the implementation of AI technologies within the upstream Oil & Gas sector, helping to optimize exploration, drilling, and production processes.

Requirements

Key Responsibilities:

Model Development: Design, develop, and implement machine learning models and AI algorithms tailored to industry-specific use cases, particularly in predictive analytics, natural language processing, and computer vision.
Data Processing: Collaborate with data engineers to build and maintain robust data pipelines, ensuring high-quality data is available for model training and deployment.
Algorithm Optimization: Optimize machine learning models for performance, scalability, and accuracy, employing techniques such as hyperparameter tuning, model selection, and feature engineering.
Collaboration: Work closely with data scientists, domain experts, and software developers to integrate AI models into production systems and create end-to-end solutions that meet business objectives.
Model Deployment: Deploy machine learning models into production environments using industry-standard tools and frameworks, ensuring reliability and scalability.
Continuous Improvement: Monitor the performance of AI models post-deployment, making iterative improvements based on feedback and changing business needs.
Innovation: Stay up-to-date with the latest advancements in AI/ML technologies and best practices, and apply this knowledge to drive continuous innovation within the team.
Documentation: Create comprehensive documentation for developed models, algorithms, and processes to ensure knowledge sharing and maintainability.

Qualifications:

Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field. A Ph.D. is a plus.
Experience: 3+ years of experience in AI/ML engineering, with a proven track record of developing and deploying machine learning models in a production environment.
Technical Skills:

Proficiency in programming languages such as Python, R, or Java.
Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
Strong understanding of data structures, algorithms, and software design principles.
Experience with cloud platforms like AWS, Azure, or Google Cloud for deploying AI models.
Familiarity with big data technologies such as Hadoop, Spark, or Kafka is a plus.
Experience with containerization and orchestration tools like Docker and Kubernetes.

Analytical Skills: Strong problem-solving skills with the ability to analyze complex datasets and develop innovative AI solutions.
Communication: Excellent verbal and written communication skills, with the ability to collaborate effectively across multidisciplinary teams.

Industry Knowledge: Experience in the Oil & Gas sector is a plus but not required.

Preferred Qualifications:

Experience with natural language processing (NLP) and computer vision.
Experience with real-time data processing and streaming analytics.
Familiarity with ethical AI practices and the ability to implement AI models responsibly.

Benefits

Why Join Us:

Opportunity to work on cutting-edge AI projects that have a tangible impact on critical industries.
Collaborative and innovative work environment.
Competitive compensation and benefits package.
Opportunities for professional growth and continuous learning.

Salary: TBD