AI ML Engineer Python

We are a consulting company with a bunch of tech-savvy and happy people!

We love technology, we love design, and we love quality. Our diversity makes us unique and creates an inclusive and welcoming workplace where every individual is highly valued.

With us, everyone can be themselves while respecting others for who they are. We believe that when an amazing mix of people come together and share their knowledge, experiences, and ideas, we can help our clients on a completely different level.

We are looking for someone who can start immediately and wants to grow with us!

With us, you have great opportunities to make real progress in your career and the chance to take on significant responsibility.

About The Role

We are looking for a talented AI/ML Engineer with strong expertise in Python to design, develop, and deploy machine learning models and AI-driven solutions. You will work closely with data scientists, backend engineers, and product teams to build intelligent systems that drive business value.

The ideal candidate has hands-on experience in building, training, optimizing, and deploying machine learning models in production environments.

Key Responsibilities

• Design, develop, and deploy machine learning models using Python
• Build scalable ML pipelines for data preprocessing, training, and inference
• Work with large structured and unstructured datasets
• Implement model evaluation, validation, and performance optimization
• Deploy models into production environments
• Monitor model performance and retrain as necessary
• Collaborate with cross-functional teams to translate business problems into ML solutions
• Optimize models for scalability and efficiency
• Maintain documentation and best practices for ML development
  
  
  

• 4+ years of experience in AI/ML engineering or data science
• Strong proficiency in Python
• Experience with ML libraries/frameworks such as:
• Scikit-learn
• TensorFlow or PyTorch
• Pandas, NumPy
  
• Experience with data preprocessing and feature engineering
• Understanding of machine learning algorithms (regression, classification, clustering, etc.)
• Experience deploying ML models into production
• Knowledge of API integration for model serving
• Strong understanding of statistics and model evaluation techniques
  
  

• Experience with NLP or Computer Vision
• Experience with LLMs or Generative AI
• Experience with Google Cloud Platform (GCP)
• Experience with MLOps tools
• Knowledge of Docker and CI/CD pipelines
• Experience with big data tools (Spark, etc.)
  
  
  

• Strong analytical and problem-solving skills
• Ability to translate business needs into technical solutions
• Strong communication skills
• Ownership mindset
• Ability to work independently and in cross-functional teams