AI/ML Engineer | Talent Marketplace at Lago

Brazil

<p>Build Your Career with the HireLago Talent Marketplace!</p><p>We're building a marketplace where exceptional professionals get discovered by exceptional companies.</p><p>Be considered for full-time and part-time remote opportunities that match your skills and experience.</p><p>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.</p><p></p><p>AI/ML ENGINEER</p><p>Vertical: Tech</p><p>Location: Remote - Philippines, Eastern Europe, and Latin America</p><p>USD Salary: Negotiable based on experience</p><p></p><p>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.</p><p></p><p>KEY RESPONSIBILITIES</p><ul><li>Design, develop, and deploy machine learning models for classification, regression, NLP, computer vision, recommendation, or other applicable use cases.</li><li>Work with data engineers to build and maintain data pipelines that feed ML model training and inference.</li><li>Evaluate and select appropriate algorithms, frameworks, and architectures for each problem.</li><li>Train, validate, and fine-tune models using best practices for avoiding overfitting and ensuring generalization.</li><li>Deploy models to production environments and build robust inference pipelines.</li><li>Monitor model performance post-deployment and implement strategies for model retraining and drift detection.</li><li>Collaborate with product and engineering teams to integrate AI features into applications.</li><li>Conduct experiments, document findings, and present insights to technical and non-technical stakeholders.</li><li>Stay current with advances in AI/ML research and assess applicability to the business.</li><li>Contribute to MLOps practices, tooling, and infrastructure.</li></ul> <ul><li>3–5 years of experience in machine learning engineering, data science, or a related field.</li><li>Proficiency in Python and core ML libraries (scikit-learn, TensorFlow, PyTorch, or similar).</li><li>Strong understanding of machine learning fundamentals (supervised/unsupervised learning, model evaluation, feature engineering).</li><li>Experience deploying ML models to production environments (APIs, batch pipelines, or embedded systems).</li><li>Familiarity with data manipulation and analysis (Pandas, NumPy, SQL).</li><li>Solid software engineering practices - version control, testing, and code quality.</li><li>Strong analytical and problem-solving skills.</li></ul><p></p><p>NICE TO HAVE</p><ul><li>Experience with LLMs, prompt engineering, and generative AI applications (OpenAI, Anthropic, LangChain, or similar).</li><li>Familiarity with MLOps platforms (MLflow, Weights &amp; Biases, SageMaker, Vertex AI, or similar).</li><li>Experience with cloud ML infrastructure (AWS, GCP, or Azure AI/ML services).</li><li>Knowledge of data engineering tools and pipelines (Spark, Airflow, dbt, or similar).</li><li>Experience with NLP techniques (transformers, embeddings, RAG pipelines).</li><li>Advanced degree (M.S. or Ph.D.) in Computer Science, Statistics, or a related field.</li></ul> Why Join the HireLago Talent Marketplace?<ul><li> ✅ Become a Certified Professional through our vetting process. </li><li> ✅ Showcase your profile on the HireLago Talent Marketplace, trusted by growing startups, agencies, and established companies worldwide. </li><li> ✅ Gain access to exclusive remote opportunities before they're publicly advertised. </li><li> ✅ Get matched with roles that fit your skills, experience, schedule, and salary expectations. </li><li> ✅ Build long-term career opportunities through our growing global employer network. </li><li> ✅ 100% free for professionals, no placement fees, subscriptions, or hidden costs. </li></ul>