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 MLOps platforms (MLflow, Weights & Biases, SageMaker, Vertex AI, or similar). - Experience with cloud ML infrastructure (AWS, GCP, or Azure AI/ML services). - Knowledge of data engineering tools and pipelines (Spark, Airflow, dbt, or similar). - Experience with NLP techniques (transformers, embeddings, RAG pipelines). - Advanced degree (M.S. or Ph.D.) in Computer Science, Statistics, or a related field. Benefits Why Join the HireLago Talent Marketplace? - ✅ Become a Certified Professional through our vetting process. - ✅ Showcase your profile on the HireLago Talent Marketplace, trusted by growing startups, agencies, and established companies worldwide. - ✅ Gain access to exclusive remote opportunities before they're publicly advertised. - ✅ Get matched with roles that fit your skills, experience, schedule, and salary expectations. - ✅ Build long-term career opportunities through our growing global employer network. - ✅ 100% free for professionals, no placement fees, subscriptions, or hidden costs.