ML/AI Engineer

Tasks

• Develop high-performing, scalable, enterprise-grade ML/AI applications in a cloud environment
• Collaborate with Data Science teams to implement Machine Learning and Generative AI models into production.
• Implement practical and innovative ML/AI automation for scalability and efficiency.
• Design, deliver and manage industrialized processing pipelines.
• Define best practices in ML models life cycle and ML operations.
• Implement AI/MLOps frameworks and support Data Science teams in best practices.
• Apply modern techniques, tools and frameworks in ML Architecture and Operations.
• Gather technical requirements and assess the workloads for upcoming projects.
• Present solutions, concepts and results to internal and external clients.
• Create technical documentation
  
  

Qualifications

• Good understanding of ML/AI concepts: types of algorithms, machine learning frameworks, model efficiency metrics, model life-cycle, AI architectures.

• Practical experience in MLOps tools like GCP Vertex.AI.

• Good understanding of Cloud concepts and architectures as well as working knowledge with selected cloud services, preferably GCP, Azure.

• Experience in programming ML algorithms and data processing pipelines using Python.

• Understanding and experience with GenerativeAI, including Large Language Models, Large Multimodal Models tech stack (OpenAI, Stable Diffusion, LLM orchestrators - Langchain, etc.) and concepts (RAG, in-context learning, fine-tuning, LLM validations pipelines).

• 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.

• At least 2 years of experience in production ready code development.

• Experience in designing and implementing data pipelines.

• Ability to collaborate effectively within a team and offer support to others

• Strong sense of responsibility for tasks and deliverables

• Outstanding problem-solving and analytical thinking skills

• Excellent verbal and written communication skills

Offer

• Stable employment. On the market since 2008, 1200+ talents currently on board in 7 global sites.

• “Office as an option” model. You can choose to work remotely or in the office.

• 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.

• 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.

• 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.

• Great Place to Work Certified Employer in the Philippines.