Staff Machine Learning Operations Engineer

Staff Machine Learning Operations Engineer

Job Location: Not specified in snippet

Job Description

Design, build, operate and maintain scalable, reliable and observable ML Operations pipelines for deploying machine learning models in production environments.

• Collaborate with Machine Learning Engineers, Researchers, Data Scientists and other technical roles to implement CI/CD pipelines.
• Build and deploy model monitoring and alerting systems for model performance, data quality and pipeline uptime.
• Optimize model pipelines by utilizing cloud platforms and containerization technologies.
• Diagnose and debug issues related to model deployment, performance, data pipeline and infrastructure.
• Document model development to operations processes and procedures.
• Unlearn, learn, and relearn ML Operations processes, infuse ML Operations best practices and new technologies.
• Proactively identify opportunities to improve existing ML Operations Infrastructure and practices.

What We Offer

Opportunity for career growth and development in the #1 FinTech company in the country. Working with a dynamic and highly collaborative team. A compensation and benefits package that is competitive and flexible.

Note: This advertiser has chosen not to accept applicants from your region.

Data Science Officer

Location: Pasig City, National Capital Region

Salary: ₱ - ₱

Employer: CreditAccess Philippines Financing Company, Inc

Posted 1 day ago

Job Description

At OnePuhunan (CreditAccess Philippines), we believe data is the key to transforming lives. We are looking for a Data Science Officer passionate about using data, machine learning, and innovation to solve real-world challenges.

What You'll Do

• Rapidly prototype, test, and deploy ML models that solve business challenges.
• Clean, process, and optimize data for actionable insights.
• Collaborate with stakeholders to design, refine, and validate models with business impact.
• Stay hands-on with SQL, Python, R, and other tools to ensure model accuracy and performance.
• Build and scale advanced ML/AI models and develop dashboards for decision-making.
• Design and implement AI solutions such as NLP, recommendation systems, and predictive analytics to enhance operations.
• Explore emerging AI technologies and assess their applicability to financial inclusion.
• Lead experimentation and model performance monitoring for continuous improvement.

What We're Looking For

• At least 5 years of experience in data science, ML or analytics
• Strong command of SQL, Python, and statistical modeling
• Background in Mathematics, Statistics, Economics, CS, or related fields
• Analytical mindset and strong problem-solving skills
• Proactive team player in a fast-paced environment

Location highlights and regional notices apply; applicant region may be restricted per advertiser.

Data Science Associate

Posted 1 day ago

Location: Taguig City / National Capital Region

Salary: Not specified

Employer: Kayana

Job Description

Data Science Associate will design, develop, and deploy ML models, generate actionable insights, and integrate external datasets to strengthen analytics. The role includes exploring Generative AI and LLMOps, building prototypes, and mentoring interns.

Key Responsibilities

• Model Development & Deployment – Build, train, and deploy predictive and generative ML models. Monitor and retrain for fairness, scalability and performance.
• Analytics & Insights – Extract insights from internal/external datasets to support decision-making.
• Data Enrichment – Integrate external data to improve model accuracy.
• MLOps & Automation – Versioning, monitoring, retraining; strengthen MLOps ecosystem.
• Innovation & Research – Evaluate new tools and techniques; deliver prototypes.
• Collaboration & Mentorship – Work with engineers and product teams; mentor interns.

Qualifications

• Proven experience in developing and deploying ML models (classification, regression, clustering, forecasting)
• Strong Python, ML libraries (scikit-learn, PyTorch, TensorFlow, Hugging Face)
• Experience with MLflow, Feast, CI/CD, model monitoring
• SQL and cloud platforms (AWS, Databricks, Spark)
• Understanding of ethical AI, model explainability, bias detection
• Strong analytical thinking and communication

Note: Regional restrictions may apply.

Data Science Engineer

Role: Data Science Engineer – NLP & LLMs (Full Time, Remote)

Responsibilities

• Research, design, and implement advanced NLP algorithms and core ML concepts
• Develop and deploy deep learning models using PyTorch/TensorFlow/Keras
• Experiments to evaluate model performance and optimize efficiency
• Prompt engineering with Hugging Face
• Build scalable ML services with FastAPI and Kubernetes
• RAG pipelines for LLM-based applications

Expertise

• Python programming; PyTorch/TensorFlow
• NLP fundamentals and information retrieval
• LangChain, vector databases; LLM experience
• Containerized production-scale ML
• Nice to have: CV and FPS optimization

Qualifications

• Bachelor/Master in CS/AI/DS
• Experience with MLOps and versioning tools
• Proven track record of delivering ML solutions

Why Join

• Work on state-of-the-art LLMs and NLP systems
• Collaborate with ML, software, and product teams
• Fast-paced, experimental environment
• Culture of curiosity and continuous learning

This advertiser has chosen not to accept applicants from your region.

Data Science Consultant

Location: Taguig City

Job Type: Full-time

Job Description

Company: Global professional services firm; Information Technology / Consulting

Responsibilities

• Define business problems; translate to ML tasks
• Analyze datasets and develop predictive models
• Present insights to stakeholders; collaborate cross-functionally

Data Science and Analytics / Internships

Company: Aboitiz Foods

Job Type: Internship

Description

We offer Data Science and Analytics internships to support basic data tasks: data preparation, cleaning, simple analysis, and reporting.

Qualifications

• Currently pursuing a Bachelor's degree in related fields
• Coursework in data visualization, SQL, machine learning (intro)
• Willingness to work onsite or hybrid
• Eligible for internship program and pre-internship requirements

This advertiser has chosen not to accept applicants from your region.

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