ML/AI Engineer

Avanade; Kuala Lumpur; On-site; MYR 180,000 - 260,000; Full time

Job summary

Avanade is seeking an experienced ML/AI Engineer to design and deploy scalable ML solutions, with hands-on work in LLMOps, deep learning and statistical modeling. You will join the Data & AI team to build analytics solutions for clients and translate complex data into actionable insights.

You will collaborate with teammates to define use cases, transform prototypes into production systems, and optimize ML libraries while delivering measurable business impact across industries.

Qualifications

• 5+ years deploying ML solutions on Azure platforms.
• Experience in data analytics, BI and data warehousing.
• Hands-on with MLOps frameworks and model deployment.
• Familiar with structured and unstructured data, streaming, NLP.
• Knowledge of neural networks and transformer models.

Responsibilities

• Design ML systems and AI software to automate predictive models.
• Prepare advanced data analyses and present results to stakeholders.
• Define Data Science use cases with current technologies.
• Transform data science prototypes into deployable ML solutions.
• Auto-tag images and perform text-to-speech conversions on unstructured data.
• Optimize ML libraries and frameworks for performance.
• Develop ML algorithms to analyze large historical datasets for predictions.
• Run tests, perform statistical analysis, and interpret results.

Skills

5+ years ML deployment

Data analytics & BI

MLOps frameworks

Structured & unstructured data

Neural networks & transformers

Tools

Azure ML

MLOps tools

Job description

Summary
We are looking for an experienced ML/AI Engineer with hands-on experience in LLMOps, deep learning, statistical modeling, and software development. As part of Data& AI team, you will develop analytics solutions based on machine learning & statistical predictive algorithms for our clients.

Together we do what matters

• Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models.
• Prepare advanced data analyses and support in the presentation of results to business stakeholders
• Work with team members and leads to define Data Science use cases using current and emerging technologies
• Transforming data science prototypes and applying appropriate ML algorithms and tools
• Turning unstructured data into useful information by auto-tagging images and text-to-speech conversions.
• Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.
• Developing ML algorithms to analyze huge volumes of historical data to make predictions.
• Running tests, performing statistical analysis, and interpreting test results.
  

Summary
We are looking for an experienced ML/AI Engineer with hands-on experience in LLMOps, deep learning, statistical modeling, and software development. As part of Data& AI team, you will develop analytics solutions based on machine learning & statistical predictive algorithms for our clients. Together we do what matters
Key Responsibilities

• Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models.
• Prepare advanced data analyses and support in the presentation of results to business stakeholders
• Work with team members and leads to define Data Science use cases using current and emerging technologies
• Transforming data science prototypes and applying appropriate ML algorithms and tools
• Turning unstructured data into useful information by auto-tagging images and text-to-speech conversions.
• Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.
• Developing ML algorithms to analyze huge volumes of historical data to make predictions.
• Running tests, performing statistical analysis, and interpreting test results.
  

Additionally, you’ll also be comfortable in working on application development projects for our client who is a reputable business operating within the Alcohol, Tobacco, and Sanitary industry sector.
Qualifications
Skills and experiences

• Min 5+ years hands-on experience implementing and deploying ML solutions in Azure
• Experience in data analytics, BI, data warehousing, a data platform development or other relevant hands-on technical experience.
• Experience in MLOps frameworks and tools, Ml Model deployment and maintenance
• Understanding of structured and unstructured data analysis, streaming data, IoT, artificial intelligence, NLP and related topical analytics fields.
• Knowledge of neural networks and transformers