Machine Learning Engineer (Thailand-based | Relocation to Singapore)

Coforge is a leading global IT solutions organization, enabling its clients to transform at the intersect of unparalleled domain expertise and emerging technologies to achieve real-world business impact. The Company focuses on three key verticals: Banking and financial services, Insurance, Travel and Transportation. This domain strength is combined with leading-edge capabilities in Data & Analytics, Automation, Cloud, and Digital.

We are looking for: Machine Learning Engineer

Working place: Relocation to Singapore (Thailand-based Hiring)

Position Summary

We are seeking a skilled Machine Learning Engineer to design, build, and deploy scalable ML solutions. You will collaborate closely with Data Scientists and cross-functional teams to productionize models, optimize performance, and integrate ML into business applications.

Key Responsibilities:

• Design and develop scalable real-time data and ML systems using Hadoop ecosystem tools (Spark, Kafka, Hive, Flink, etc.)

• Build robust data ingestion and transformation pipelines (batch & real-time) for multi-modal data (image, audio, video, documents)

• Develop full-stack applications and internal engineering tools using Python and modern frameworks (e.g., Flask, React)

• Collaborate with data scientists to operationalize ML models on platforms such as Cloudera ML

• Perform performance tuning and optimization of data and ML applications

• Support end-to-end ML lifecycle including deployment, monitoring, and optimization

Qualifications:

• Minimum 5 years of experience in Machine Learning, Data Engineering, or related fields, with hands-on experience in production ML systems

• Experience with Python, Java, Scala, or C++

• Hands-on experience with ML frameworks/libraries (Scikit-learn, XGBoost, TensorFlow/Keras, Hugging Face)

• Strong experience with Hadoop ecosystem (Spark, Kafka, Hive, Flink, Nifi, etc.)

• Experience in data engineering, ingestion frameworks, and real-time processing

• Experience building full-stack applications and engineering tools

• Experience with ML platforms and model deployment (e.g., CML, Spark MLlib)

• Strong collaboration and communication skills

Candidate Relocation & Benefits Guidelines:

• Medical Insurance: Employees will be covered in medical insurance plan, which includes:

  • Outpatient medical coverage

  • Hospitalization coverage

• Leave Entitlement: Employees are entitled to:

  • 12 days of annual leave per calendar year

  • 14 days of sick leave per calendar year

•  Relocation Support: Once the Employment Pass application process begins, we will provide the following relocation assistance:

  •  Employment Pass Sponsorship: We will sponsor and process a 1-year / 2-year Employment Pass for the employee.

  • Flight Assistance: We will cover the cost of a one-way airfare ticket

Please note that only short-listed candidates will be contacted for interviews.