AI/ML Engineer | Talent Marketplace
About this job
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.