AI/ML Engineer | Talent Marketplace

Build Your Career with the HireLago Talent Marketplace! We're building a marketplace where exceptional professionals get discovered by exceptional companies. Be considered for full-time and part-time remote opportunities that match your skills and experience. When you join our Talent Network, you'll have the opportunity to be assessed and vetted by our Recruitment Team. Become a HireLago Certified Professional , and showcase your profile to trusted employers worldwide. AI/ML ENGINEER Vertical: Tech Location: Remote - Philippines, Eastern Europe, and Latin America USD Salary: Negotiable based on experience The AI/ML Engineer is responsible for designing, building, and deploying machine learning models and AI-powered systems that solve real business problems. This role spans the full ML lifecycle - from data preparation and model development to production deployment and monitoring - and requires a strong combination of software engineering discipline and data science expertise. The AI/ML Engineer collaborates closely with data engineers, product managers, and business stakeholders to deliver AI solutions that are accurate, reliable, and scalable. KEY RESPONSIBILITIES Design, develop, and deploy machine learning models for classification, regression, NLP, computer vision, recommendation, or other applicable use cases. Work with data engineers to build and maintain data pipelines that feed ML model training and inference. Evaluate and select appropriate algorithms, frameworks, and architectures for each problem. Train, validate, and fine-tune models using best practices for avoiding overfitting and ensuring generalization. Deploy models to production environments and build robust inference pipelines. Monitor model performance post-deployment and implement strategies for model retraining and drift detection. Collaborate with product and engineering teams to integrate AI features into applications. Conduct experiments, document findings, and present insights to technical and non-technical stakeholders. Stay current with advances in AI/ML research and assess applicability to the business. Contribute to MLOps practices, tooling, and infrastructure. Requirements 3–5 years of experience in machine learning engineering, data science, or a related field. Proficiency in Python and core ML libraries (scikit-learn, TensorFlow, PyTorch, or similar). Strong understanding of machine learning fundamentals (supervised/unsupervised learning, model evaluation, feature engineering). Experience deploying ML models to production environments (APIs, batch pipelines, or embedded systems). Familiarity with data manipulation and analysis (Pandas, NumPy, SQL). Solid software engineering practices - version control, testing, and code quality. Strong analytical and problem-solving skills. NICE TO HAVE Experience with LLMs, prompt engineering, and generative AI applications (OpenAI, Anthropic, LangChain, or similar). Familiarity with…