433 Team Lead jobs in the Philippines

TECHNICAL SKILLS:
br>Proficiency in ASP.NET, C#, JavaScript, ReactJS, and Microsoft SQL.
Extensive experience in resolving technological challenges and debugging code.
Expertise in working with various APIs and interfaces.

SUPERVISORY SKILLS:

Proven experience as a Developer and Team Leader with supervisory skills over developers and QA engineer.
Strong problem-solving skills and the ability to guide the team through technical challenges.

EXPERIENCE:

Minimum of 3 years experience in a leading a team of developers
A track record of successful project delivery and team management.
A candidate with high-level background in Flutter and ReactJS is preferred

COMMUNICATION:

Excellent communication skills, both written and verbal.
Ability to effectively communicate technical concepts to both technical and non-technical stakeholders.

-Fully Work Onsite reporting in Las Pinas

Nityo infotech Services Philippines is currently looking for:
br>Test Lead - 90,000 to 100,000

Location: BGC Taguig City
Schedule: Morning Shift
Set up: Hybrid 3x per week

Qualifications:

• Prior to entering this role, the individual should have satisfied all criteria, qualifications, knowledge, tasks and experience in the following roles: < r>• Associate Test Analyst < r>• Test Analyst / Hybrid Test Analyst < r>• Senior Test Analyst / Senior Hybrid Test Analyst < r>• Has 5 plus years’ experience in testing including experience in leading small teams
• Experience using a range of defect tracking tools < r>• Experience conducting testing on a range of systems and technologies < r>• Experience working on large testing projects and multi-vendor environments < r>• Customer service experience is desirable

Evaluate compliance with ISO 9001 (Quality), ISO 14001 (Environmental), ISO 45001 (OH&S), and other applicable standards.
br>Prepare and present audit findings, non-conformities, and improvement recommendations to management.

Develop and update audit checklists, plans, and reports.

Work with department heads and site managers to implement corrective and preventive actions.

Monitor the implementation and effectiveness of corrective actions.

Support and facilitate external certification and surveillance audits.

Provide training and guidance to internal teams on ISO standards and best practices.

Maintain records and documentation in line with ISO and company requirements.

Support integrated management system (IMS) development and continual improvement.

Plan, schedule, and conduct internal audits across construction sites and corporate departments.

We are seeking an experienced and dedicated Lead Aesthetician to join our team. As the Lead Aesthetician, you will be responsible for delivering exceptional skincare services while also guiding, mentoring and leading a team of aesthetician. You’ll ensure that our clients receive the highest quality treatment and an exceptional experience, all while maintaining a collaborative and positive work environment.
br>REQUIREMENT:

Licensed Aesthetician with certification and a valid license
Minimum of (3) years of experience as an Aesthetician with at least (3) years in a leadership or supervisory role
Extensive knowledge of skincare treatments, products, and industry advancements
Strong leadership and team management skills with the ability to motivate and guide a team
Exceptional customer service skills and the ability to build lasting clients relationships
Ability to work well under pressure and maintain professional demeanor
Strong attention to detail, organization and time management
(Optional): Any specialized certifications or training in specific skincare techniques or equipment.

**Job Description**
**About the Role**
We are seeking an experienced **AI Technology Lead** to drive the design, development, and deployment of cutting-edge Artificial Intelligence solutions, with a strong focus on **Generative AI (GenAI)** , **Large Language Models (LLMs)** , and **AI Agents** . This is a strategic, hands-on role requiring both deep technical expertise and cross-functional leadership capabilities.
As a Lead, you'll collaborate with global teams, influence enterprise AI architecture, and play a critical role in the success of high-impact AI initiatives across industries. This role is suited for individuals who are passionate about innovation, building real-world AI applications, and mentoring high-performing teams.
This position is **open only to candidates currently residing in the Philippines** . We are **not offering international relocation or visa sponsorship** for this role.
**Technical Skills:**
+ Proven experience in productizing Gen AI /AI/ML/NLP/CV projects
+ Experience in frameworks to depict the interpretability of models and MLOps.
+ Extensive experience in managing model lifecycles, data management, analytics, and application development.
+ Good Understanding of mathematical aspects of Machine Learning such as cost function, gradient calculation, Derivatives, Convergence concept, exploding and diminishing gradient problems etc
+ Practical understating of huge data handling in ML pipelines.
+ Strong background in open-source tools such as Python, R, TensorFlow, PyTorch, scikit-learn, Pandas, NumPy, SciPy Apache Spark, SQL for database querying and manipulation, Good understanding to JSON and structure and parsing in Python, and Langchain
+ Must have a good understanding of Large Language Models, RAG implementation and various opensource LLMs
+ Good to have knowledge of deploying models on edge devices
+ Good to have Experience with cloud platforms such as Oracle Cloud Infrastructure (OCI), AWS, or Azure.
+ Design, develop, and train state-of-the-art AI/ML models including LLMs and AI agents for real-world applications.
+ Serve as a **technical mentor** to a high-performing team of data scientists and engineers.
+ Act as a bridge between **technical teams and business stakeholders** , driving AI adoption and solution alignment.
+ Lead enterprise-grade AI architecture strategy and ensure security, compliance, and scalability across deployments.
+ Identify new AI/ML use cases through **go-to-market initiatives, demos, and stakeholder engagement** .
+ Champion Oracle's GenAI initiatives in leadership forums, tech communities, and customer presentations.
+ Publish research findings, conduct knowledge-sharing sessions, and drive internal best practices.
+ Collaborate across **application development, DevOps, multi-cloud infrastructure, and integration teams** .
+ Provide **program oversight** , technical governance, and estimation for AI-led solution design and delivery.
**Key Competencies:**
+ Ability to articulate complex technical concepts and solutions effectively to both technical and non-technical stakeholders.
+ Strong problem-solving skills and the ability to translate business requirements into data-driven solutions.
+ Excellent communication, collaboration, and teamwork abilities.
+ Experience in presenting technical information to diverse audiences.
+ Critical thinking and ability to support collaborative problem-solving in a team environment.
+ Strong written and verbal communication skills for coordinating across teams
+ Proven expertise in building, deploying, and optimizing LLMs and AI agents.
+ Strong programming skills in **Python** , with experience using modern ML frameworks (e.g., PyTorch, TensorFlow, HuggingFace, LangChain).
+ Deep understanding of ML concepts, NLP, transformers, prompt engineering, and fine-tuning techniques.
+ Experience architecting solutions on **cloud platforms** - Oracle Cloud Infrastructure (OCI) preferred; AWS, Azure, or GCP also acceptable.
+ Broad technical fluency across:
+ Enterprise Architecture & Strategy
+ Application Development & Security
+ DevOps / Agile Delivery Practices
+ Integration & Data Strategy
+ Multi-cloud Deployments
+ Familiarity with AI solution compliance, security policies, and model governance best practices.
+ Strong communication skills with ability to engage **C-suite stakeholders** , present to leadership, and drive technical consensus
**Key Programming Concepts:**
+ Object-oriented programming principles
+ Data structures and algorithms
+ Error handling and debugging techniques
+ Version control systems (e.g., Git)
**Additional Skills (Desirable):**
+ Familiarity with designing & deploying scalable digital web based applications.
+ Experience in multi-touch attribution, market mix modelling, fraud analytics, customer journey analysis, churn modelling, customer segmentation, hypothesis testing, A/B testing, and recommendation engines.
+ Experience in designing, implementing, testing, and shipping production-quality AI/ML software
+ Experience with analytics, machine learning techniques, advanced analytics, and end-to-end pipelines using frameworks like Kubeflow.
Overall, the ideal candidate for the data scientist role at Oracle GSC should have a strong educational background, significant professional experience in data science and related fields, proficiency in relevant technical skills and tools, and key competencies in communication, problem-solving, and teamwork. Additionally, familiarity with specific industry domains and advanced techniques in AI/ML is desirable.
**Evaluation Criteria:**
- Proficiency in programming languages will be tested through coding exercises and technical interviews.
- Use case presentations will be required to evaluate the candidate's ability to translate business problems into actionable insights and solutions.
- Demonstrated experience in deploying machine learning models and managing model lifecycles will be assessed through case studies and real-world scenarios.
**Responsibilities**
Operates independently to provide quality work products to an engagement. Performs varied and complex duties and tasks that need independent judgment, in order to implement Oracle products and technology to meet customer needs. Applies Oracle methodology, company procedures, and leading practices. Demonstrates expertise to deliver functional and technical solutions on moderately complex customer engagements. May act as the team lead on projects. Effectively consults with management of customer organizations. Participates in business development activities. Develops and configures detailed solutions for moderately complex projects.
**Key Responsibilities:**
+ Design, develop, and train state-of-the-art AI/ML models including LLMs and AI agents for real-world applications.
+ Serve as a technical mentor to a high-performing team of data scientists and engineers.
+ Act as a bridge between technical teams and business stakeholders, driving AI adoption and solution alignment.
+ Lead enterprise-grade AI architecture strategy and ensure security, compliance, and scalability across deployments.
+ Identify new AI/ML use cases through go-to-market initiatives, demos, and stakeholder engagement.
+ Champion Oracle's GenAI initiatives in leadership forums, tech communities, and customer presentations.
+ Publish research findings, conduct knowledge-sharing sessions, and drive internal best practices.
+ Collaborate across application development, DevOps, multi-cloud infrastructure, and integration teams.
+ Provide program oversight, technical governance, and estimation for AI-led solution design and delivery.
Career Level - IC3
**About Us**
As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity.
We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all.
Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.
We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing or by calling +1 in the United States.
Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

**Job Description**
**About the Role**
We are seeking an experienced **AI Technology Lead** to drive the design, development, and deployment of cutting-edge Artificial Intelligence solutions, with a strong focus on **Generative AI (GenAI)** , **Large Language Models (LLMs)** , and **AI Agents** . This is a strategic, hands-on role requiring both deep technical expertise and cross-functional leadership capabilities.
As a Lead, you'll collaborate with global teams, influence enterprise AI architecture, and play a critical role in the success of high-impact AI initiatives across industries. This role is suited for individuals who are passionate about innovation, building real-world AI applications, and mentoring high-performing teams.
This position is **open only to candidates currently residing in the Philippines** . We are **not offering international relocation or visa sponsorship** for this role.
**Technical Skills:**
+ Proven experience in productizing Gen AI /AI/ML/NLP/CV projects
+ Experience in frameworks to depict the interpretability of models and MLOps.
+ Extensive experience in managing model lifecycles, data management, analytics, and application development.
+ Good Understanding of mathematical aspects of Machine Learning such as cost function, gradient calculation, Derivatives, Convergence concept, exploding and diminishing gradient problems etc
+ Practical understating of huge data handling in ML pipelines.
+ Strong background in open-source tools such as Python, R, TensorFlow, PyTorch, scikit-learn, Pandas, NumPy, SciPy Apache Spark, SQL for database querying and manipulation, Good understanding to JSON and structure and parsing in Python, and Langchain
+ Must have a good understanding of Large Language Models, RAG implementation and various opensource LLMs
+ Good to have knowledge of deploying models on edge devices
+ Good to have Experience with cloud platforms such as Oracle Cloud Infrastructure (OCI), AWS, or Azure.
+ Design, develop, and train state-of-the-art AI/ML models including LLMs and AI agents for real-world applications.
+ Serve as a **technical mentor** to a high-performing team of data scientists and engineers.
+ Act as a bridge between **technical teams and business stakeholders** , driving AI adoption and solution alignment.
+ Lead enterprise-grade AI architecture strategy and ensure security, compliance, and scalability across deployments.
+ Identify new AI/ML use cases through **go-to-market initiatives, demos, and stakeholder engagement** .
+ Champion Oracle's GenAI initiatives in leadership forums, tech communities, and customer presentations.
+ Publish research findings, conduct knowledge-sharing sessions, and drive internal best practices.
+ Collaborate across **application development, DevOps, multi-cloud infrastructure, and integration teams** .
+ Provide **program oversight** , technical governance, and estimation for AI-led solution design and delivery.
**Key Competencies:**
+ Ability to articulate complex technical concepts and solutions effectively to both technical and non-technical stakeholders.
+ Strong problem-solving skills and the ability to translate business requirements into data-driven solutions.
+ Excellent communication, collaboration, and teamwork abilities.
+ Experience in presenting technical information to diverse audiences.
+ Critical thinking and ability to support collaborative problem-solving in a team environment.
+ Strong written and verbal communication skills for coordinating across teams
+ Proven expertise in building, deploying, and optimizing LLMs and AI agents.
+ Strong programming skills in **Python** , with experience using modern ML frameworks (e.g., PyTorch, TensorFlow, HuggingFace, LangChain).
+ Deep understanding of ML concepts, NLP, transformers, prompt engineering, and fine-tuning techniques.
+ Experience architecting solutions on **cloud platforms** - Oracle Cloud Infrastructure (OCI) preferred; AWS, Azure, or GCP also acceptable.
+ Broad technical fluency across:
+ Enterprise Architecture & Strategy
+ Application Development & Security
+ DevOps / Agile Delivery Practices
+ Integration & Data Strategy
+ Multi-cloud Deployments
+ Familiarity with AI solution compliance, security policies, and model governance best practices.
+ Strong communication skills with ability to engage **C-suite stakeholders** , present to leadership, and drive technical consensus
**Key Programming Concepts:**
+ Object-oriented programming principles
+ Data structures and algorithms
+ Error handling and debugging techniques
+ Version control systems (e.g., Git)
**Additional Skills (Desirable):**
+ Familiarity with designing & deploying scalable digital web based applications.
+ Experience in multi-touch attribution, market mix modelling, fraud analytics, customer journey analysis, churn modelling, customer segmentation, hypothesis testing, A/B testing, and recommendation engines.
+ Experience in designing, implementing, testing, and shipping production-quality AI/ML software
+ Experience with analytics, machine learning techniques, advanced analytics, and end-to-end pipelines using frameworks like Kubeflow.
Overall, the ideal candidate for the data scientist role at Oracle GSC should have a strong educational background, significant professional experience in data science and related fields, proficiency in relevant technical skills and tools, and key competencies in communication, problem-solving, and teamwork. Additionally, familiarity with specific industry domains and advanced techniques in AI/ML is desirable.
**Evaluation Criteria:**
- Proficiency in programming languages will be tested through coding exercises and technical interviews.
- Use case presentations will be required to evaluate the candidate's ability to translate business problems into actionable insights and solutions.
- Demonstrated experience in deploying machine learning models and managing model lifecycles will be assessed through case studies and real-world scenarios.
**Responsibilities**
Operates independently to provide quality work products to an engagement. Performs varied and complex duties and tasks that need independent judgment, in order to implement Oracle products and technology to meet customer needs. Applies Oracle methodology, company procedures, and leading practices. Demonstrates expertise to deliver functional and technical solutions on moderately complex customer engagements. May act as the team lead on projects. Effectively consults with management of customer organizations. Participates in business development activities. Develops and configures detailed solutions for moderately complex projects.
**Key Responsibilities:**
+ Design, develop, and train state-of-the-art AI/ML models including LLMs and AI agents for real-world applications.
+ Serve as a technical mentor to a high-performing team of data scientists and engineers.
+ Act as a bridge between technical teams and business stakeholders, driving AI adoption and solution alignment.
+ Lead enterprise-grade AI architecture strategy and ensure security, compliance, and scalability across deployments.
+ Identify new AI/ML use cases through go-to-market initiatives, demos, and stakeholder engagement.
+ Champion Oracle's GenAI initiatives in leadership forums, tech communities, and customer presentations.
+ Publish research findings, conduct knowledge-sharing sessions, and drive internal best practices.
+ Collaborate across application development, DevOps, multi-cloud infrastructure, and integration teams.
+ Provide program oversight, technical governance, and estimation for AI-led solution design and delivery.
Career Level - IC3
**About Us**
As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity.
We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all.
Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.
We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing or by calling +1 in the United States.
Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.