Machine Learning Engineer

JOB DESCRIPTION

We are seeking a highly skilled and motivated ML Engineer to join our dynamic team. As an ML Engineer, you will be responsible for designing, developing, and deploying cutting-edge machine learning solutions that address complex real-world challenges. Your role will involve collaborating with cross-functional teams, conducting data processing and analysis, and participating in the entire machine learning model development lifecycle. If you have a passion for AI technology, strong problem-solving skills, and a desire to contribute to our growth, we would love to hear from you.
Key Responsibilities:
Develop, implement, and maintain machine learning models, with a focus on Large Language Models (LLMs).
Collaborate with cross-functional teams to integrate machine learning algorithms into our platform.
Conduct data processing and analysis to improve model performance.
Stay updated with the latest advancements in machine learning and NLP, and apply this knowledge to improve our product.
Participate in the entire model development lifecycle, from research and experimentation to deployment and optimization.
Write clean, maintainable, and efficient code.

JOB REQUIREMENT

Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field.
06 years of experience in related fields with proven experience in machine learning, particularly with Large Language Models like GPT-3, Llama-2, BERT, or similar technologies.
Strong programming skills in Python, and familiarity with machine learning frameworks such as TensorFlow or PyTorch.
Experience with natural language processing (NLP) is highly desirable.
Ability to work in a fast-paced and dynamic environment.
Excellent problem-solving and analytical skills.
Strong communication and teamwork skills.

WHAT'S ON OFFER

Attractive compensation and benefits commensurate with experience.
Generous daily lunch allowance of $10 per day, provided to each team member.
Overseas travel opportunities for training and working related, providing exposure to international projects and collaborations.
An employee-centric culture that values the skills and abilities of our team members, providing them with the necessary tools and resources to excel in their roles and advance in their careers.
A collaborative work environment that fosters teamwork, knowledge sharing, and innovation.
Flexible working hours
Unlimited paid leaves
Fun team activities & outing

CONTACT

PEGASI – IT Recruitment Consultancy | Email: recruit@pegasi.com.vn | Tel: +84 28 3622 8666
We are PEGASI – IT Recruitment Consultancy in Vietnam. If you are looking for new opportunity for your career path, kindly visit our website www.pegasi.com.vn for your reference. Thank you!

Job Summary

Company Type:

Product, AI Application Platform

Technical Skills:

Machine Learning, Python

Location:

Ho Chi Minh - Viet Nam

Working Policy:

Job ID:

J01397

Status:

Close

Related Job:

Senior Engineer Manager - Technology Risk

Ho Chi Minh - Viet Nam

Product

  • Management
  • Backend
  • Data Engineering
  • Devops

Develop and implement a cohesive roadmap for strategic execution based on the company's strategic ambitions Coordinate and oversee multiple engineering teams within the organization to achieve desired outcomes Collaborate with various internal teams, including technology, risk, business, and product teams, to ensure requirements are met before and after project delivery Take responsibility for both the development and ongoing operational support of applications in production Manage cyber security updates, ensuring software versions are up to date and infrastructure is patched regularly Monitor and control investment delivery to maintain alignment between different domains and optimize spending Facilitate collaboration between engineering and risk domain experts to achieve strategic technology goals

Negotiation

View details

Data Engineer

Ho Chi Minh - Viet Nam

Outsource

  • Data Engineering

Develop, test, and manage batch and streaming data pipelines on various cloud platforms like Snowflake, AWS Redshift, and Google Cloud Platform (BigQuery, Dataflow, Pub/Sub, Cloud Composer). Import data from various sources such as client APIs, SaaS platforms, event streams, and databases into secure cloud storage and warehouse layers. Create transformation logic using SQL and Python and deploy tested, well-documented models in dbt. Establish datasets and dashboards in Sigma for easy querying by business users and AI systems. Prepare and deliver data for AI applications, including feature tables, embeddings, and retrieval datasets, and provide access to data through controlled APIs and MCP servers. Utilize AI programming tools and automated workflows to enhance development efficiency, testing, and documentation, ensuring accuracy in the output. Set up data quality assessments, monitoring, and alerts, and develop automated procedures for diagnosing pipeline failures with AI support. Record details about pipelines, schemas, and data structures for the benefit of other teams and AI systems. Engage in code assessments and sprint planning within an agile, globally distributed team.

Negotiation

View details

Senior/ Lead Data Engineer

Ho Chi Minh - Viet Nam

Outsource

  • Data Engineering

Develop pipelines on various cloud platforms such as Google Cloud Platform, AWS, and Snowflake for large enterprises. Create data models using dbt and make them accessible through layers that can be easily queried by analysts and applications. Construct data products that support automated systems, including layers for retrieval, pipelines for embedding, and interfaces for tools that agents use. Create workflows where agents oversee pipelines, address issues, conduct tests, and suggest improvements. Collaborate with teams from different backgrounds to hasten pipeline development, testing, and migration from older systems, ensuring that all changes are thoroughly checked before implementation. Establish and uphold data engineering standards for automation, continuous integration/continuous deployment (CI/CD), infrastructure as code, testing, and monitoring through code reviews. Take charge of data quality, data lineage, security, and cost management on various platforms, ensuring proper access controls and audit trails. Provide guidance to Data Engineers, evaluate their work, and serve as the representative for the data engineering team in technical conversations. Transform client business needs into technical designs and estimates for new projects.

Negotiation

View details