Data Scientist / Machine Learning Engineer

• Design, train, and validate supervised and unsupervised models (e.g., anomaly detection, classification, forecasting).
• Architect and implement deep learning solutions (CNNs, Transformers) with PyTorch.
• Develop and fine-tune Large Language Models (LLMs) and build LLM-driven applications.
• Implement Retrieval-Augmented Generation (RAG) pipelines and integrate with vector databases.
• Build robust pipelines to deploy models at scale (Docker, Kubernetes, CI/CD).

Data Engineering & MLOps

• Ingest, clean and transform large datasets using libraries like pandas, NumPy, and Spark.
• Automate training and serving workflows with Airflow or similar orchestration tools.
• Monitor model performance in production; iterate on drift detection and retraining strategies.
• Implement LLMOps practices for automated testing, evaluation, and monitoring of LLMs.

Software Development Best Practices

• Write production-grade Python code following SOLID principles, unit tests and code reviews.
• Collaborate in Agile (Scrum) ceremonies; track work in JIRA.
• Document architecture and workflows using PlantUML or comparable tools.

Cross-Functional Collaboration

• Communicate analysis, design and results clearly in English.
• Partner with DevOps, data engineering and product teams to align on requirements and SLAs., Design, build, and operate backend services in Go/gRPC to support CX and compliance workflows. Integrate and maintain third-party SaaS and vendor APIs, operate production systems on AWS/Kubernetes/Terraform, drive engineering best practices, collaborate cross-functionally, and apply responsible generative AI practices to improve workflows. Top Skills: AssembledAWSBuildkiteGeminiGleanGo (Golang)GrpcKafkaKubernetesLibrechatMaestro QaNoSQLSalesforceSQLTerraform Mondelēz International

Analytics Manager

11 Hours Ago Remote or Hybrid Senior level Senior level Big Data * Food * Hardware * Machine Learning * Retail * Automation * Manufacturing Lead Finance data products and analytics across Latin America: partner with business leaders, manage analytics roadmap and teams, develop models/algorithms, translate large datasets into actionable financial insights, and drive strategic, cross-regional initiatives. Circle (circle.so)

Azumo is currently looking for a highly motivated Data Scientist / Machine Learning Engineer to develop and enhance our data and analytics infrastructure. The position is FULLY REMOTE, based in Latin America. Professional English proficiency (B2/C1)

This position will provide you with the opportunity to collaborate with a dynamic team and talented data scientists in the field of big data analytics and applied AI. If you have a passion for designing and implementing advanced machine learning and deep learning models, particularly in the Generative AI space, this role is perfect for you. We are seeking a skilled professional with expertise in Python for production-level projects, proficiency in machine learning and deep learning techniques such as CNNs and Transformers, and hands-on experience working with PyTorch.

We're looking for a versatile Machine Learning Engineer / Data Scientist to join our big-data analytics team. In this hybrid role you'll not only design and prototype novel ML/DL models, but also productionize them end-to-end, integrating your solutions into our data pipelines and services. You'll work closely with data engineers, software developers and product owners to ensure high-quality, scalable, maintainable systems., * Bachelor's or Master's in Computer Science, Data Science or related field.

• 5+ years of professional experience with Python in production environments.
• Solid background in machine learning & deep learning (CNNs, Transformers, LLMs).
• Hands-on experience with PyTorch or similar frameworks (training, custom modules, optimization).
• Proven track record deploying ML solutions.
• Expert in pandas, NumPy and scikit-learn.
• Familiarity with Agile/Scrum practices and tooling (JIRA, Confluence).
• Strong foundation in statistics and experimental design.
• Excellent written and spoken English., * Experience with cloud platforms (AWS, GCP, or Azure) and their AI-specific services like Amazon SageMaker, Google Vertex AI, or Azure Machine Learning.
• Familiarity with big-data ecosystems (Spark, Hadoop).
• Practice in CI/CD & container orchestration (Jenkins/GitLab CI, Docker, Kubernetes).
• Exposure to MLOps/LLMOps tools (MLflow, Kubeflow, TFX).
• Experience with Large Language Models, Generative AI, prompt engineering, and RAG pipelines.
• Hands-on experience with vector databases (e.g., Pinecone, FAISS).
• Experience building AI Agents and using frameworks like Hugging Face Transformers, LangChain or LangGraph.
• Documentation skills using PlantUML or similar.

• Paid time off (PTO)
• U.S. Holidays
• Training
• Udemy free Premium access
• Mentored career development
• Profit Sharing
• $US Remuneration, United States Easy Apply 140K-170K Annually Senior level 140K-170K Annually Senior level Artificial Intelligence * Consumer Web * Digital Media * Information Technology * Social Impact * Software Lead the design for a critical product area, collaborating with teams to craft effective user experiences while leveraging AI tools for prototyping and testing. Influence product strategy and uphold design standards while mentoring junior designers. Top Skills: Ai-Assisted Prototyping ToolsCode-Generation ToolsFigma

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

• Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
• Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
• Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
• Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
• Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
• Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

Based in San Francisco, California, Azumo is an innovative software development firm specializing in AI software development services. We help companies of all sizes build intelligent applications by combining expertise in data, cloud, and AI. Our talented AI developers are trusted to deliver Top AI Development services in Generative AI, intelligent automation, and custom machine learning solutions. At Azumo, we believe in professional and personal growth. As a recognized AI Development company, we support our engineers in mastering the latest technologies and delivering Top AI Development services worldwide. Our culture emphasizes collaboration, continuous learning, and solving complex problems with modern AI solutions. We believe in giving back to our community and will volunteer our time to philanthropy, open-source initiatives and sharing our knowledge.