ML/AI Engineer

Lingaro Group Philippines; Manila; Hybrid; PHP 1,000,000 - 2,000,000; Full time

Benefits offered by this job

Remote/Office flexibility

Udemy learning platform

Certificates and training programs

Internal promotions and growth

Job summary

Lingaro Group Philippines is seeking a seasoned Data Engineer to implement ML models into production and design GenAI solutions. You will build data pipelines, apply MLOps practices, and collaborate with Data Science teams on scalable AI automation.

The role requires 5+ years in data engineering and 3+ years in production ML code, plus hands-on Databricks, Spark, and cloud experience. English fluency and strong teamwork are essential. Office or remote options available in a hybrid setup.

Qualifications

• At least 5+ years of Data engineering experience, with last 3 years in data processing.
• At least 5+ years of production-ready Python coding (microservices, APIs).
• At least 3+ years of production-ready ML code development.
• At least 1+ years of GenAI experience (ChatGPT, Gemini, RAGs).
• Practical experience in MLOps/LLMOps tools like AzureML/AzureAI.
• Practical experience with Databricks and Spark in Big Data platforms.
• Good understanding of Cloud concepts (Azure/GCP) and data domains. English fluency.

Skills

Data engineering

Python

ML/AI concepts

MLOps/LLMOps

Databricks

Spark/PySpark

Cloud (Azure/GCP)

CI/CD

Docker/Kubernetes

English fluency

Tools

Databricks

GitHub Actions

Azure DevOps

Docker

Kubernetes

Job description

Growth through diversity, equity, and inclusion. As an ethical business, we do what is right — including ensuring equal opportunities and fostering a safe, respectful workplace for each of us. We believe diversity fuels both personal and business growth. We're committed to building an inclusive community where all our people thrive regardless of their backgrounds, identities, or other personal characteristics.

Tasks:

• Working with Data Science teams to implement Machine Learning models into production.
• Design, delivery GenAI solutions.
• Practical and innovative implementations of LLM/ML/AI automation, for scale and efficiency.
• Design, delivery and management of industrialized processing pipelines.
• Defining and implementing best practices in ML models life cycle and ML operations/LLM operations.
• Implementing AI /MLOps/LLMOps frameworks and supporting Data Science teams in best practices.
• Gathering and applying knowledge on modern techniques, tools and frameworks in the area of ML Architecture and Operations.
• Gathering technical requirements & estimating planned work.
• Presenting solutions, concepts and results to internal and external clients.
• Creating technical documentation.

What We're Looking For:

• At least 5+ years of Data engineering experience with last 3 years experience in building Data processing
• At least 5+ years of experience in production-ready Python code development (e.g., microservices, APIs, etc.)
• At least 3+ years of experience in production-ready ML-related code development
• At least 1+ years of experience with GenAI (ChatGPT, Gemini, RAGs, prompt engineering)
• Practical experience in MLOps/LLMOps tools like AzureML/AzureAI
• Practical experience with Databricks
• Good understanding of ML/AI concepts: types of algorithms, machine learning frameworks, model efficiency metrics, model life-cycle, AI architectures
• Good understanding of Cloud concepts and architectures, as well as working knowledge with selected cloud services, preferably Azure or GCP
• Experience in at least one of following domains: Data Warehouse, Data Lake, Data Integration, Data Governance, Machine Learning, Deep Learning, MLOps
• Practical experience in Spark/PySpark and Hive within Big Data Platforms like Databricks, EMR or similar
• Experience in designing and implementing data pipelines
• Good communication skills
• Ability to work in a team and support others
• Taking responsibility for tasks and deliverables
• Great problem-solving skills and critical thinking
• Fluency in written and spoken English.

What Will Set You Apart:

• Experience in designing, programming ML algorithms, and data processing pipelines using Python
• Good understanding of CI/CD and DevOps concepts, and experience in working with selected tools (preferably GitHub Actions, GitLab, or Azure DevOps)
• Experience in productizing ML solutions using technologies like Spark/Databricks or Docker/Kubernetes.

Missing one or two of these qualifications? We still want to hear from you! If you bring a positive mindset, we'll provide an environment where you feel valued and empowered to learn and grow.

We offer:

• • Stable employment. On the market since 2008, 1800+ talents currently on board in 7 global sites.

  • “Office as an option” model. You can choose to work remotely or in the office, depending on your location.

  • Flexibility regarding working hours and your preferred form of contract.

  • Comprehensive online onboarding program with a “Buddy” from day 1.

  • Cooperation with top-tier engineers and experts.

  • Unlimited access to the Udemy learning platform from day 1.

  • Certificate training programs. Lingarians earn 500+ technology certificates yearly.

  • Upskilling support. Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly.

  • Internal Gallup Certified Strengths Coach to support your growth.

  • Grow as we grow as a company. 76% of our managers are internal promotions.

  • A diverse, inclusive, and values-driven community.

  • Autonomy to choose the way you work. We trust your ideas.

  • Create our community together. Refer your friends to receive bonuses.

  • Activities to support your well-being and health.

  • Plenty of opportunities to donate to charities and support the environment.

  • Modern office equipment. Purchased for you or available to borrow, depending on your location.