We’re looking for a highly skilled AI Engineer to help us design, build, and scale intelligent systems across our next-generation global HR Tech platform. As an early-stage startup, we’re looking for someone who thrives in dynamic environments, is passionate about automation and AI-driven innovation, and brings hands-on experience developing AI/ML solutions within enterprise-grade SaaS platforms.

You’ll work cross-functionally with product, data, and engineering teams to develop models that improve user experience, automate decision-making, and support smart HR and payroll solutions. This role reports directly to the Head of Engineering.

What You’ll Do

• Design and implement machine learning models to solve HR-specific challenges (e.g., intelligent automation, anomaly detection, personalized experiences)
• Collaborate with product managers and engineers to bring AI features to life across the platform
• Develop and optimize data pipelines to support model training and inference
• Research and apply NLP, LLMs, and other AI/ML technologies to streamline and improve HR workflows
• Monitor model performance and retrain/improve based on feedback and usage
• Build scalable AI solutions using cloud-native tools (preferably AWS)
• Contribute to data governance, ethical AI use, and compliance

What You’ll Bring

• 4–6+ years of experience as an AI/ML Engineer or Data Scientist, ideally with startup or SaaS exposure
• Strong understanding of supervised/unsupervised learning, NLP, neural networks, and generative AI
• Proficiency with Python and ML frameworks like TensorFlow, PyTorch, Hugging Face, or similar
• Experience deploying models in production using cloud platforms like AWS Sagemaker, GCP Vertex AI, or Azure ML
• Experience with data versioning, MLOps, and model lifecycle management
• Ability to work autonomously and thrive in a startup environment
• Familiarity with HR tech, payroll, or workforce data is a plus

NEORIS is a Digital accelerator that helps companies enter the future, having 20 years of experience as Digital Partners of some of the largest companies in the world. We have more than 4,000 professionals in 11 countries, with our multicultural startup culture where we cultivate innovation, continuous learning to create high-value solutions for our clients.

We are looking for a motivated Mid level Data Scientist with experience in Python, statistical analysis, and machine learning to support the development of data-driven and AI-powered solutions. In this role, you will collaborate with senior data scientists, engineers, and business stakeholders to analyze data, build predictive models, and contribute to scalable analytics and AI applications.

This is a great opportunity for a data professional to grow their expertise in Machine Learning, Generative AI, and modern data science practices while working on real-world business problems. You will gain hands-on experience building models and applications that support production environments.

Key Responsibilities

• Model Development: Support the implementation of machine learning models, assisting with data preprocessing, feature engineering, model training, and evaluation.
• Statistical Analysis: Apply techniques such as regression, classification, clustering, and anomaly detection to solve business and operational problems.
• AI Innovation: Assist in developing applications using Generative AI (LLMs, prompt engineering, embeddings, or Retrieval-Augmented Generation).
• Integration: Work with APIs and backend services to integrate ML and AI models into internal systems.
• Workflow Optimization: Support the development of scalable ML workflows and data pipelines for experimentation and training.
• Cross-functional Collaboration: Partner with data engineers, DevOps and software developers to support the deployment and monitoring of models.
• Code Quality: Write clean, well-documented code using Python and SQL.
• Data Storytelling: Prepare visualizations and reports to communicate insights and results to both technical and non-technical stakeholders.

Required Qualifications

• Professional Experience: 3+ years working with Python in data science, analytics, or machine learning projects.
• 3 + years experience using Computer Vision models like YOLO
• Database Skills: Practical experience with SQL for querying and analyzing large datasets.
• ML Frameworks: Experience supporting ML models using libraries such as scikit-learn, PyTorch, or TensorFlow.
• Data Processing: Familiarity with data processing or streaming pipelines (e.g. Apache Beam, Google Cloud Dataflow, Spark, or similar frameworks).
• Forecast
• Technical Literacy: Familiarity with REST APIs, web services, Generative AI concepts and frameworks (LLMs, RAG-based systems, LangChain, ADK, Llama-index).
• English proficiency (B2 level or higher).

Preferred Qualifications

• Version Control: Experience with Git and version control practices.
• Cloud & DevOps: Exposure to cloud environments (GCP, AWS, or Azure) and MLOps concepts (CI/CD, Docker, Kubernetes, or MLflow).
• Agile Mindset: Experience working in Agile development environments.
• Portfolio: Personal projects, research, or AI experimentation that demonstrate initiative and curiosity.

What We Value

• Curiosity: A strong desire for continuous learning and exploring new tools in AI/ML.
• Initiative: A self-driven approach to developing skills and solving technical hurdles.
• Persistence: The ability to iterate through complex challenges toward effective solutions.
• Ownership: Accountability for technical tasks and a collaborative, supportive mindset.

  We offer:

• Statutory & Major benefits
• Personal Growth
• Competitive salary
• Attractive benefits plan

Come and meet us on: http://www.neoris.com, on Facebook, LinkedIn, Twitter, or Instagram @NEORIS.

Marina Molina

#LI-MM3

About you:

Are you interested in expanding a career in digital marketing? The WITHIN team is growing, and we’re hiring for Digital Media Strategists who are willing to take the lead across multiple digital marketing channels to meet goals at the intersection of performance and branding. This is a unique opportunity in a rapidly expanding company. 

Responsibilities will include and are definitely not limited to:

• Working with a portfolio of clients
• Oversee the planning, execution, and optimization of integrated digital marketing campaigns across social media, search, and display channels
• Optimizing account performance using data insights, A/B testing, and consumer research
• Client communication (written & verbal)
• Working across multiple teams to design and execute marketing strategies that align with client goals and business objectives
• Producing meaningful marketing KPI dashboards and delivering cross channel performance reports with actionable insight
• Analyzing cross-channel performance data and extracting actionable insights
• Note, This is not a data scientist or analyst role, but the role does work regularly with data, including basic analyses & projections
• Implementing proprietary technology and best practices
• Delivering creative & copy recommendations to clients based on historical performance

Qualifications and Experience: 

• At least 1–2 years of experience in Digital Marketing, preferably Facebook & Google Ads, is REQUIRED.
  • Please see here for our opening for the role that does not require any prior experience
• Bachelor’s Degree or equivalent experience
• General business acumen
• Desire to work in a deadline-oriented environment 
• Interest in pursuing a career in performance oriented digital marketing
• Working knowledge of Excel (conditional statements, pivot tables and vlookups)
• Full professional proficiency (written and spoken) of the English Language

Our interview process includes, but is not limited to, the following:

• Cognitive Aptitude and Typing Test
• Logic assessment on Excel

We offer a competitive salary and benefits based on ability level, including:

• Base salary DOE
• Unlimited vacation policy
• Monthly phone/internet and food stipend
• Health insurance coverage
• Professional Development Program
• This is a fully in-office role based in Bogotá, Colombia. Candidates must be available to work on-site five days a week.

Note. Please submit your resume in English.