Senior Tech Lead - Software Engineering

Axonect; Kampung Malaysia Tambahan; On-site; MYR 180,000 - 240,000; Full time

Job summary

Axonect seeks a senior ML/Software Engineer to develop and deploy AI/ML solutions in an enterprise setting. You will build data pipelines with Airflow and Snowflake, transform data with SQL, and automate workflows using Python, CLI/Bash, and Git.

Collaboration with data scientists and business teams is essential, and you will contribute to MLOps, CI/CD, and containerization efforts. The role requires at least 6 years of experience, a strong SDLC background, and hands-on expertise in modern ML

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or related field
• Minimum 6 years of experience in Machine Learning, Software Development
• Hands‑on experience developing and deploying AI/ML solutions in enterprise environments
• Experience working in Agile/Scrum development teams
• Strong understanding of SDLC, testing methodologies, and release management practices
• Strong stakeholder management and collaboration skills, with the ability to work effectively with developers, ML engineers, data engineers, and business teams
• Strong analytical and problem‑solving skills with keen attention to detail
• Ability to perform root cause analysis and identify quality risks proactively
• Strong technical expertise in Python, SQL, Airflow, Snowflake/Snowpark, CLI/Bash, AI/ML frameworks, Git, and Azure ML
• Exposure to Docker, Kubernetes, MLflow, MLOps, and CI/CD practices is an added advantage.

Responsibilities

• Develop and maintain AI/ML solutions using Python and relevant ML frameworks
• Build and manage data pipelines using Airflow and Snowflake/Snowpark
• Perform data processing, transformation, validation, and analysis using SQL
• Develop scripts and automation using CLI/Bash
• Deploy and support ML workloads using Azure ML
• Manage source code using Git and follow software development best practices
• Support model deployment, monitoring, and operationalization
• Collaborate with data scientists, testers, and business teams to deliver ML use cases
• Support MLOps, CI/CD, and containerization activities were required. Provide regular updates on testing progress, risks, issues, and defect status
• Ensure alignment with Agile practices and development standards

Skills

Python

SQL

AI/ML concepts

Agile/Scrum

SDLC

Stakeholder management

Problem solving

Root cause analysis

Analytical thinking

Education

Bachelor's degree in Computer Science/IT

Tools

Airflow

Snowflake/Snowpark

CLI/Bash

Git

Azure ML

Docker

Kubernetes

Job description

• Develop and maintain AI/ML solutions using Python and relevant ML frameworks
• Build and manage data pipelines using Airflow and Snowflake/Snowpark
• Perform data processing, transformation, validation, and analysis using SQL
• Develop scripts and automation using CLI/Bash
• Deploy and support ML workloads using Azure ML
• Manage source code using Git and follow software development best practices
• Support model deployment, monitoring, and operationalization
• Collaborate with data scientists, testers, and business teams to deliver ML use cases
• Support MLOps, CI/CD, and containerization activities were required. Provide regular updates on testing progress, risks, issues, and defect status
• Ensure alignment with Agile practices and development standards

Key Responsibilities

• Develop and maintain AI/ML solutions using Python and relevant ML frameworks
• Build and manage data pipelines using Airflow and Snowflake/Snowpark
• Perform data processing, transformation, validation, and analysis using SQL
• Develop scripts and automation using CLI/Bash
• Deploy and support ML workloads using Azure ML
• Manage source code using Git and follow software development best practices
• Support model deployment, monitoring, and operationalization
• Collaborate with data scientists, testers, and business teams to deliver ML use cases
• Support MLOps, CI/CD, and containerization activities were required. Provide regular updates on testing progress, risks, issues, and defect status
• Ensure alignment with Agile practices and development standards

Person Specifications

• Bachelorʼs degree in Computer Science, Information Technology, or related field
• Minimum 6 years of experience in Machine Learning, Software Development
• Hands‑on experience developing and deploying AI/ML solutions in enterprise environments
• Experience working in Agile/Scrum development teams
• Strong understanding of software development lifecycle (SDLC), testing methodologies, and release management practices
• Strong stakeholder management and collaboration skills, with the ability to work effectively with developers, ML engineers, data engineers, and business teams
• Strong analytical and problem‑solving skills with keen attention to detail
• Ability to perform root cause analysis and identify quality risks proactively
• Strong technical expertise in Python, SQL, Airflow, Snowflake/Snowpark, CLI/Bash, AI/ML frameworks, Git, and Azure ML.
• Exposure to Docker, Kubernetes, MLflow, MLOps, and CI/CD practices is an added advantage.

Vendor submissions - 12 months