Axross Pte Ltd

1 month ago

Data Scientist

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 10 hours agoStatus: Live

Job Summary

Join Axross to develop and deploy ML models for real-time HVAC optimization in industrial settings, leveraging IoT data, digital twins, and cloud platforms. You will build predictive models, run experiments, collaborate with AI engineers and product managers, and communicate insights to stakeholders while advancing energy efficiency.

Location: Kuala Lumpur

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Develop and implement advanced machine learning models (e.g., reinforcement learning, supervised learning) for real-time optimization of HVAC systems.
•Work with dynamic simulation models to predict and optimise the performance of industrial systems.
•Analyse large datasets, including plant and environmental data such as temperature, humidity, and energy consumption metrics.
•Build and refine predictive models for energy demand forecasting and optimise control strategies across different industrial applications.
•Collaborate with cross-functional teams (AI engineers, product managers) to deploy models in production environments.

Pay and Benefits

Salary: USD 1,500 - 3,000 monthly

Perks:Health Insurance401kEquityRemote WorkPaid Leave

Key Requirements

•Have at least 2 years experience with ETL processes and model optimization techniques like feature selection, hyper-parameter tuning, and model validation.
•Proficient in programming languages like Python, R, or Java, with a strong foundation in designing algorithms using various data structures.
•Solid understanding of dynamic simulation models and / or digital twins for system optimization.
•Experience with cloud platforms (e.g., Microsoft Azure, AWS) for deploying AI models.
•Strong analytical thinking, problem-solving skills, and attention to detail.

Experience:2+ yearsIndustrial IoTHVACEnergy optimizationIndustrial automation

Education:Bachelor's

Skills:CommunicationProblem-solvingTeam collaborationPresentation

Tech Stack:PythonRJavaMicrosoft AzureAWSMachine LearningDeep LearningReinforcement LearningIoT

Eligibility

Work Authorization:Sponsorship available.

Company Brief

Axross Pte Ltd

Axross is a Singapore-based hiring platform that connects technology employers with software engineering talent, offering streamlined recruitment, candidate assessment, and matchmaking services to help companies hire developers efficiently.

Industry: HR Tech

Growth: Early Stage Startup

Headquarters: Singapore, Singapore

Website

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Axross Pte Ltd

1 month ago

Data Scientist

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 10 hours agoStatus: Live

Job Summary

Location: Kuala Lumpur

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Develop and implement advanced machine learning models (e.g., reinforcement learning, supervised learning) for real-time optimization of HVAC systems.
•Work with dynamic simulation models to predict and optimise the performance of industrial systems.
•Analyse large datasets, including plant and environmental data such as temperature, humidity, and energy consumption metrics.
•Build and refine predictive models for energy demand forecasting and optimise control strategies across different industrial applications.
•Collaborate with cross-functional teams (AI engineers, product managers) to deploy models in production environments.

Pay and Benefits

Salary: USD 1,500 - 3,000 monthly

Perks:Health Insurance401kEquityRemote WorkPaid Leave

Key Requirements

•Have at least 2 years experience with ETL processes and model optimization techniques like feature selection, hyper-parameter tuning, and model validation.
•Proficient in programming languages like Python, R, or Java, with a strong foundation in designing algorithms using various data structures.
•Solid understanding of dynamic simulation models and / or digital twins for system optimization.
•Experience with cloud platforms (e.g., Microsoft Azure, AWS) for deploying AI models.
•Strong analytical thinking, problem-solving skills, and attention to detail.

Experience:2+ yearsIndustrial IoTHVACEnergy optimizationIndustrial automation

Education:Bachelor's

Skills:CommunicationProblem-solvingTeam collaborationPresentation

Tech Stack:PythonRJavaMicrosoft AzureAWSMachine LearningDeep LearningReinforcement LearningIoT

Eligibility

Work Authorization:Sponsorship available.

Company Brief

Axross Pte Ltd

Industry: HR Tech

Growth: Early Stage Startup

Headquarters: Singapore, Singapore

Website