Machine Learning

2 days ago

Manila, National Capital Region, Philippines Eclaro Full time $90,000 - $120,000 per year

ECLARO Quezon City, National Capital Region, PhilippinesMachine Learning (ML) Data EngineerECLARO Quezon City, National Capital Region, Philippines1 week ago Be among the first 25 applicants

Get AI-powered advice on this job and more exclusive features. Direct message the job poster from ECLAROECLARO is an award-winning professional services firm headquartered in New York City and operating in the U.S., Canada, UK, Ireland, Australia and the Philippines.

We are dedicated to a singular purpose: providing the Right People to meet every client's needs and solve business challenges through strategic staffing, permanent placement, custom outsourcing & offshoring. Utilizing our proprietary TRINIT-E Service Maturity Model, we help clients implement programs to promote innovation, automation and process improvement.

About the Role:Client is seeking a ML/Data Engineer. This new member will be responsible for improving our ML platform and internal data for trading and risk management applications. The role leverages quantitative expertise and software engineering skills to deliver robust ML DevOps infrastructure, facilitate and ensure quality control in ML models and data, and streamline the ML model development and deployment workflows.

Job Responsibilities:

  • Collaborate with stakeholders (desk quants, IT, research, trading desks, and risk management) to design, implement, and support Python‐based platform for ML model development and operations.
  • Sourcing, storing and curating data for the ML models.
  • Build shared tooling for the full life cycle of ML model development and operations (DevOps), including data curation, feature engineering, backtesting, hyperparameter tuning, model experimentation and performance monitoring.
  • Collaborate with desk quants and the research team and contribute to the development, deployment, and integration of ML models, providing technical guidance and support on ML DevOps.
  • Build and support ML model performance monitoring tools, such as automated pipeline for continuous tuning and performance monitoring, GUI apps and reports of model performance; help collect and maintain historical model performance data and analytics.
  • Collaborate with the desk quant and IT team to build and optimize data pipelines to source, curate, and cleanse high‐quality time series data for ML model development.
  • Proactively troubleshoot and resolve issues related to data quality, models, or ML systems to ensure consistent production performance.
  • Collaborate with the Technology team to support cloud integration and deployment of ML models.
  • Partner with the Technology team to enforce software development best practices including version control, unit testing, CI/CD, and robust deployment strategies.

Requirements:A successful candidate must have the following skills or credentials:

  • Degree in Computer Science, Data Science, Statistics, Financial Engineering, or a related quantitative field.
  • At least 10 years of experience
  • A minimum of 3 years of industry experience in ML platform/data/DevOps.
  • At least 2 years of Lead experience or a Senior one if individual contributor
  • Proficient in Python, with proven experience in developing production‐level tools and applications.
  • Strong working knowledge of data processing libraries such as pandas and numpy, and familiarity with machine learning frameworks (e.g., scikit‐learn, PyTorch).
  • Demonstrated expertise in building and managing ETL pipelines and working with time series data.
  • Familiarity with software development best practices including version control (e.g., git), unit testing, and CI/CD.Qualities of Ideal Candidate:
  • Strong analytical and problem‐solving skills with the ability to work effectively under pressure and tight deadlines.
  • Excellent communication skills, capable of translating complex technical concepts to non‐technical stakeholders.
  • A collaborative team player with a proactive mindset and a passion for leveraging data to drive business innovations.
  • Self-starter, able to own and carry out a project end to end.

Preferred Skills:The following skills are preferred but not strictly required:

  • Familiarity with data orchestration or distributed computing frameworks (e.g., Apache Airflow) along with experience on cloud platforms (e.g., AWS, GCP).
  • Prior experience in building and testing systematic trading and/or relative value models.
  • Familiarity with Python‐based GUI frameworks (e.g., NiceGUI, PyQt, etc.) is a plus for developing internal tools.

Seniority level

Seniority level

Mid-Senior level

Employment type

Employment type

Full-time

Job function

Job function

Information Technology and Accounting/AuditingIndustriesStaffing and Recruiting and BankingReferrals increase your chances of interviewing at ECLARO by 2xGet notified about new Data Engineer jobs in Quezon City, National Capital Region, Philippines.Manila, National Capital Region, Philippines 2 weeks ago

Quezon City, National Capital Region, Philippines 8 months ago

Makati, National Capital Region, Philippines 3 weeks ago

Makati, National Capital Region, Philippines 1 week ago

Taguig, National Capital Region, Philippines 5 days ago

Manila, National Capital Region, Philippines 2 weeks ago

National Capital Region, Philippines 3 weeks ago

Quezon City, National Capital Region, Philippines 3 days ago

Makati, National Capital Region, Philippines 2 weeks ago

Mandaluyong, National Capital Region, Philippines 2 weeks ago

Mandaluyong, National Capital Region, Philippines 3 weeks ago

National Capital Region, Philippines 5 days ago

Quezon City, National Capital Region, Philippines 3 months ago

Pasig, National Capital Region, Philippines 2 weeks ago

Manila, National Capital Region, Philippines 6 days ago

Makati, National Capital Region, Philippines 3 weeks ago

Manila, National Capital Region, Philippines 2 months ago

Taguig, National Capital Region, Philippines 2 weeks ago

Quezon City, National Capital Region, Philippines 3 weeks ago

Taguig, National Capital Region, Philippines 2 weeks ago

Manila, National Capital Region, Philippines 3 weeks ago

Makati, National Capital Region, Philippines 1 month ago

Mandaluyong, National Capital Region, Philippines 5 days ago

Manila, National Capital Region, Philippines 2 weeks ago

Manila, National Capital Region, Philippines 2 months ago

Makati, National Capital Region, Philippines 1 week ago

Data Analyst - Fraud Analytics, OperationsManila, National Capital Region, Philippines 2 weeks ago

Taguig, National Capital Region, Philippines 2 weeks ago

Makati, National Capital Region, Philippines 2 weeks ago

Manila, National Capital Region, Philippines 6 days ago

Quezon City, National Capital Region, Philippines 3 weeks ago

Makati, National Capital Region, Philippines 2 weeks ago

Manila, National Capital Region, Philippines 1 month ago

Makati, National Capital Region, Philippines 2 weeks ago

Mandaluyong, National Capital Region, Philippines 2 weeks ago

Pasig, National Capital Region, Philippines 3 weeks ago

Mandaluyong, National Capital Region, Philippines 1 week ago

We're unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

  • Machine Learning Engineer

    2 days ago

    Manila, National Capital Region, Philippines Ubiquity Full time $90,000 - $120,000 per year

    Machine Learning EngineerApply locations: Manila_Bench Time type: Full time Posted on: Posted 24 Days Ago Job requisition id: R-105153Let's tomorrow, together. At Ubiquity, we live by the mantra head, heart, and hustle. Head because we use our collective industry know-how to always push ourselves, our clients, and our programs to be the best they can be....

  • Machine Learning Engineer

    2 days ago

    Manila, National Capital Region, Philippines Manulife Full time $90,000 - $120,000 per year

    Are you looking for a supportive and collaborative workplace with great benefits and clear career development? You've come to the right place. Why choose Manulife? Competitive Salary packages and performance bonuses Day 1 HMO + FREE coverage for your dependents (inclusive of same-sex partners) Retirement savings benefit Rewarding culture that values wellness...

  • Machine Learning Engineer

    2 days ago

    Manila, National Capital Region, Philippines Manulife Full time $90,000 - $120,000 per year

    Are you looking for a supportive and collaborative workplace with great benefits and clear career development? You've come to the right place.Why choose Manulife?Competitive Salary packages and performance bonuses Day 1 HMO + FREE coverage for your dependents (inclusive of same-sex partners)Retirement savings benefit Rewarding culture that values wellness...

  • Machine Learning Engineer

    2 days ago

    Manila, National Capital Region, Philippines GCash Full time ₱900,000 - ₱1,200,000 per year

    Do you want to take the first step in making Filipinos' lives better everyday? Here in GCash we want to stay at the forefront of the FinTech industry by creating innovative, meaningful, and convenient financial solutions for the nation G ka ba? Join the G Nation todayYou Will Be Responsible For The FollowingDesigns, develops, and implements scalable Machine...

  • Machine Learning Engineer

    2 days ago

    Manila, National Capital Region, Philippines Johnson & Johnson Full time $80,000 - $120,000 per year

    At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across...

  • Machine Learning Engineer

    2 days ago

    Manila, National Capital Region, Philippines Booth & Partners Full time $35,000 - $46,000 per year

    Direct message the job poster from Booth & Partners We are seeking for a Machine Learning Engineer to support data science teams that are utilizing artificial intelligence and machine learning to predict and analyze computer vision or customer intent models. This is an exciting opportunity to make an impact by leveraging AI and ML techniques to create...

  • Machine Learning Engineer

    2 days ago

    Manila, National Capital Region, Philippines Pan Asia Resources PH Inc. Full time $104,000 - $130,878 per year

    Mandatory QualificationsMaster's degree in Computer Science, Data Science, Machine Learning, or related field (Ph.D. is a plus).5+ years of experience in machine learning, data science, or related field.Strong programming skills in Python, R, or Java.Extensive experience with ML frameworks: TensorFlow, PyTorch, scikit-learn, etc.Proven track record of...

  • Leading Machine Learning Engineer

    6 days ago

    Manila, National Capital Region, Philippines beBeeMachineLearning Full time ₱50,000 - ₱150,000

    Job Opportunity:We are seeking a skilled Machine Learning Engineer to design, develop and deploy predictive models and algorithms that optimize business operations. The ideal candidate will have strong engineering skills in building scalable ML solutions that integrate with business systems.Key Responsibilities:Develop machine learning models for forecasting...

  • Senior Machine Learning Engineer

    2 days ago

    Manila, National Capital Region, Philippines Booth & Partners Full time $35,000 - $46,000 per year

    Get AI-powered advice on this job and more exclusive features. Direct message the job poster from Booth & PartnersWe are seeking for a Machine Learning Engineer to support data science teams that are utilizing artificial intelligence and machine learning to predict and analyze computer vision or customer intent models. This is an exciting opportunity to make...

  • Senior Machine Learning Engineer

    5 days ago

    Manila, National Capital Region, Philippines beBeeMachineLearning Full time ₱2,000,000 - ₱2,500,000

    As a seasoned AI expert, you will lead the design and implementation of large-scale machine learning models in production environments.Key Responsibilities:Develop scalable and reliable ML models to meet business objectives.Define best practices for ML engineering, including model versioning, monitoring, and CI/CD for ML pipelines.Collaborate with...