3 Data Science jobs in the Philippines
Machine Learning Engineer
Parañaque, National Capital Region
J&J Family of Companies
Posted 5 days ago
Job Viewed
Job Description
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 the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at Function:**
Data Analytics & Computational Sciences
**Job Sub** **Function:**
Data Science
**Job Category:**
Scientific/Technology
**All Job Posting Locations:**
Paranaque, National Capital Region (Manila), Philippines
**Job Description:**
**We are searching for the best talent for** **Machine Learning Engineer.**
As a Data Science / ML Engineer at J&J, you will collaborate closely with stakeholders across various functions to develop innovative Data Science solutions addressing diverse business challenges. From feasibility studies to deployment, you'll be involved in the entire lifecycle-from understanding pain points to transforming data into impactful insights and scalable models.
**You will be responsible for**
+ Partnering with stakeholders to understand their business problems and define data-driven solutions.
+ Conducting feasibility studies by engaging with stakeholders to capture pain points and relevant use cases.
+ Extracting and collecting data from databases and other sources in collaboration with Data Engineers and IT teams.
+ Cleaning, preprocessing, and standardizing data to ensure quality and usability.
+ Researching appropriate solutions by reviewing literature on statistical and machine learning methodologies, exploring Python libraries, and evaluating available models such as LLMs.
+ Performing feature engineering to build predictors/variables vital for model accuracy.
+ Coding solutions using Python within analytics platforms like Databricks.
+ Communicating findings and solutions to stakeholders; iteratively refine models based on testing and validation.
+ Deploying models in analytics platforms, working with Software Developers on frontend designs for real-time predictions or Data Visualization specialists for batch/scheduled forecasts using tools like Tableau or PowerBI.
+ Collaborating with Data Engineers to deploy backend pipelines supporting these solutions.
**Qualifications / Requirements** **:**
+ At least 2 years of experience in Data Science, Data Analytics, Statistical Modeling, Machine Learning Engineering, or related roles.
+ Bachelor's or Master's degree in Statistics, Physics, Computer Science, Engineering, Mathematics, Economics, or a similar field.
+ Proficient in Python, with experience using libraries such as statsmodels, TensorFlow, PyTorch, etc., especially for statistical modeling, machine/deep learning, and handling big data.
+ Knowledge of Large Language Models (LLMs) for Natural Language Processing
+ Knowledge on Statistical and Machine Learning modeling (such as clustering, regression modeling, time series modeling, etc.).
+ Experience with SQL and data manipulation techniques.
+ Familiarity with analytics platforms such as Databricks, Domino, Dataiku, etc.
+ Familiarity with dashboard and visualization tools like Tableau and Power BI.
+ Willingness to work on a mid shift
Data Analytics & Computational Sciences
**Job Sub** **Function:**
Data Science
**Job Category:**
Scientific/Technology
**All Job Posting Locations:**
Paranaque, National Capital Region (Manila), Philippines
**Job Description:**
**We are searching for the best talent for** **Machine Learning Engineer.**
As a Data Science / ML Engineer at J&J, you will collaborate closely with stakeholders across various functions to develop innovative Data Science solutions addressing diverse business challenges. From feasibility studies to deployment, you'll be involved in the entire lifecycle-from understanding pain points to transforming data into impactful insights and scalable models.
**You will be responsible for**
+ Partnering with stakeholders to understand their business problems and define data-driven solutions.
+ Conducting feasibility studies by engaging with stakeholders to capture pain points and relevant use cases.
+ Extracting and collecting data from databases and other sources in collaboration with Data Engineers and IT teams.
+ Cleaning, preprocessing, and standardizing data to ensure quality and usability.
+ Researching appropriate solutions by reviewing literature on statistical and machine learning methodologies, exploring Python libraries, and evaluating available models such as LLMs.
+ Performing feature engineering to build predictors/variables vital for model accuracy.
+ Coding solutions using Python within analytics platforms like Databricks.
+ Communicating findings and solutions to stakeholders; iteratively refine models based on testing and validation.
+ Deploying models in analytics platforms, working with Software Developers on frontend designs for real-time predictions or Data Visualization specialists for batch/scheduled forecasts using tools like Tableau or PowerBI.
+ Collaborating with Data Engineers to deploy backend pipelines supporting these solutions.
**Qualifications / Requirements** **:**
+ At least 2 years of experience in Data Science, Data Analytics, Statistical Modeling, Machine Learning Engineering, or related roles.
+ Bachelor's or Master's degree in Statistics, Physics, Computer Science, Engineering, Mathematics, Economics, or a similar field.
+ Proficient in Python, with experience using libraries such as statsmodels, TensorFlow, PyTorch, etc., especially for statistical modeling, machine/deep learning, and handling big data.
+ Knowledge of Large Language Models (LLMs) for Natural Language Processing
+ Knowledge on Statistical and Machine Learning modeling (such as clustering, regression modeling, time series modeling, etc.).
+ Experience with SQL and data manipulation techniques.
+ Familiarity with analytics platforms such as Databricks, Domino, Dataiku, etc.
+ Familiarity with dashboard and visualization tools like Tableau and Power BI.
+ Willingness to work on a mid shift
This advertiser has chosen not to accept applicants from your region.
0
Senior Machine Learning Engineer
Pasig City, National Capital Region
Grundfos
Posted 2 days ago
Job Viewed
Job Description
Senior Machine Learning Engineer
Job Description
**What is the Job all about?**
We're hiring! Join our team as a Machine Learning Engineer where you'll play a key role in productionizing, monitoring, and maintaining cutting-edge machine learning and AI services. This role also offers an exciting opportunity to contribute to model development, working alongside a talented team to bring innovative solutions to life. If you're passionate about building scalable ML systems and driving real-world impact through AI, we'd love to hear from you!
**Your main responsibilities:**
+ Implement production-grade machine learning services in alignment with established technical standards.
+ Develop standardized solutions for model deployment and model monitoring to ensure scalability and reliability.
+ Drive the development and refinement of technical standards for ML systems and services.
+ Collaborate closely with data scientists to transition prototype models into production-ready solutions.
+ Work with data engineers to ensure high-quality training data pipelines are in place.
+ Support external spoke teams by assisting in model deployment where internal capabilities are limited.
**Your background:**
+ Bachelor's degree in computer science, Engineering or closely related field
+ At least 2 years of industry experience in building Machine Learning system.
+ Solid experience in using Python
+ Excellent Software development skills and knowledge about best practices
+ Experience in having ML services in production (MLOps)
+ Solid experience working in cloud environment and ML platforms, preferably in Azure ML Studio and Azure cloud
**What's in it for you?**
Whether it's developing skills or advancing your expertise even further, we'll support you with continuous learning and development opportunities, to help discuss and steer your long-term Grundfos career path. You'll be welcomed from day one into an inclusive, trusting environment guided by six core values.
+ Development opportunities in an international environment
+ People- and value-focused organization culture
+ Social, team and sport events
+ Training opportunities
**Do you want to learn more?**
If this job sounds appealing, please send your resume and cover letter by clicking "Apply".
To dig deeper into the Grundfos universe, follow us on LinkedIn ( or Youtube ( , and to get to know some of your future colleagues and why they enjoy working at Grundfos, check out Meet our people ( look forward to hearing from you.**
Information at a Glance
**Job Details**
Workplace: Hybrid (office and home-working)
Job Location: Pasig City, National Capital Region, Philippines
Contract Type: Full-Time
Employment Type: Regular
Job Description
**What is the Job all about?**
We're hiring! Join our team as a Machine Learning Engineer where you'll play a key role in productionizing, monitoring, and maintaining cutting-edge machine learning and AI services. This role also offers an exciting opportunity to contribute to model development, working alongside a talented team to bring innovative solutions to life. If you're passionate about building scalable ML systems and driving real-world impact through AI, we'd love to hear from you!
**Your main responsibilities:**
+ Implement production-grade machine learning services in alignment with established technical standards.
+ Develop standardized solutions for model deployment and model monitoring to ensure scalability and reliability.
+ Drive the development and refinement of technical standards for ML systems and services.
+ Collaborate closely with data scientists to transition prototype models into production-ready solutions.
+ Work with data engineers to ensure high-quality training data pipelines are in place.
+ Support external spoke teams by assisting in model deployment where internal capabilities are limited.
**Your background:**
+ Bachelor's degree in computer science, Engineering or closely related field
+ At least 2 years of industry experience in building Machine Learning system.
+ Solid experience in using Python
+ Excellent Software development skills and knowledge about best practices
+ Experience in having ML services in production (MLOps)
+ Solid experience working in cloud environment and ML platforms, preferably in Azure ML Studio and Azure cloud
**What's in it for you?**
Whether it's developing skills or advancing your expertise even further, we'll support you with continuous learning and development opportunities, to help discuss and steer your long-term Grundfos career path. You'll be welcomed from day one into an inclusive, trusting environment guided by six core values.
+ Development opportunities in an international environment
+ People- and value-focused organization culture
+ Social, team and sport events
+ Training opportunities
**Do you want to learn more?**
If this job sounds appealing, please send your resume and cover letter by clicking "Apply".
To dig deeper into the Grundfos universe, follow us on LinkedIn ( or Youtube ( , and to get to know some of your future colleagues and why they enjoy working at Grundfos, check out Meet our people ( look forward to hearing from you.**
Information at a Glance
**Job Details**
Workplace: Hybrid (office and home-working)
Job Location: Pasig City, National Capital Region, Philippines
Contract Type: Full-Time
Employment Type: Regular
This advertiser has chosen not to accept applicants from your region.
1
Machine Learning Specialist (Professional, Report &
Taguig, National Capital Region
Ingram Micro
Posted today
Job Viewed
Job Description
**Description**
Ingram Micro touches 80% of the technology you use every day with our focus on Technology Solutions, Cloud, and Commerce and Lifecycle Solutions. With $46 billion in revenue, we have become the world’s largest technology distributor with operations in 56 countries and more than 30,000 associates. We continue to strategically expand our global reach with 32 acquisitions since 2012.
The **Automation Machine Learning Specialist **(Professional Report and Analytics) role is primarily responsible in delivering quality reports automation and advanced analytics capabilities of GRDA. As a technical and business facing resource, this role will serve as the main point of contact of GRDA associates and business partners in enabling report automation and advance analytics. As an active team member, he/she will work closely with internal GRDA teams, allied supporting functions and external business leaders in resolving incidents and driving closure of service tickets. Serve as core leadership member in building machine learning enabled services of GRDA to enable actionable business insights powered by data science.
**What You Bring to the Role**:
- Report & Analytics Automation (60%)
- Advanced Analytics Service Operations (30%)
- Reporting and Administrative Duties (10%)
- BS. in Computer Science, Engineering, Business, or in a related field
- Minimum 3 years work experience with at least 1+ years exposure to Reporting and Analytics.
- MS in Data Science or Certifications in Advanced Analytics is a plus but not required.
**Technical Knowledge & Skills:
- VBA Macro - Intermediate
- Python Programming - Intermediate
- KNIME - Basic
- Qlik N Printing - Basic
Customer and Industry Knowledge:
- Experience in Order to Cash, Supply Chain or Procurement is a strong plus
- This is not a complete listing of the job duties. It’s a representation of the things you will be doing, and you may not perform all of these duties.
Ingram Micro touches 80% of the technology you use every day with our focus on Technology Solutions, Cloud, and Commerce and Lifecycle Solutions. With $46 billion in revenue, we have become the world’s largest technology distributor with operations in 56 countries and more than 30,000 associates. We continue to strategically expand our global reach with 32 acquisitions since 2012.
The **Automation Machine Learning Specialist **(Professional Report and Analytics) role is primarily responsible in delivering quality reports automation and advanced analytics capabilities of GRDA. As a technical and business facing resource, this role will serve as the main point of contact of GRDA associates and business partners in enabling report automation and advance analytics. As an active team member, he/she will work closely with internal GRDA teams, allied supporting functions and external business leaders in resolving incidents and driving closure of service tickets. Serve as core leadership member in building machine learning enabled services of GRDA to enable actionable business insights powered by data science.
**What You Bring to the Role**:
- Report & Analytics Automation (60%)
- Advanced Analytics Service Operations (30%)
- Reporting and Administrative Duties (10%)
- BS. in Computer Science, Engineering, Business, or in a related field
- Minimum 3 years work experience with at least 1+ years exposure to Reporting and Analytics.
- MS in Data Science or Certifications in Advanced Analytics is a plus but not required.
**Technical Knowledge & Skills:
- VBA Macro - Intermediate
- Python Programming - Intermediate
- KNIME - Basic
- Qlik N Printing - Basic
Customer and Industry Knowledge:
- Experience in Order to Cash, Supply Chain or Procurement is a strong plus
- This is not a complete listing of the job duties. It’s a representation of the things you will be doing, and you may not perform all of these duties.
This advertiser has chosen not to accept applicants from your region.
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