About the Role:
We’re looking for an experienced and passionate AI/ML Engineer to join Pixelizes and help build smart, data-driven solutions. You’ll work closely with our product, data, and engineering teams to design, train, and deploy machine learning models that solve real-world problems and elevate user experiences across platforms.
Key Responsibilities:
- Design and implement machine learning models for classification, prediction, clustering, and recommendation systems
- Build, train, test, and optimize models using Python, TensorFlow, PyTorch, Scikit-learn, or similar frameworks
- Process and analyze large datasets to extract actionable insights
- Deploy ML models into production environments using REST APIs or cloud-based solutions
- Collaborate with frontend/backend developers to integrate ML solutions
- Work with NLP, computer vision, or generative AI models depending on the project
- Stay updated on the latest AI/ML research, tools, and techniques
- Ensure scalability, performance, and ethical considerations in AI solutions
Requirements:
- Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or related fields
- 2+ years of hands-on experience in Machine Learning and Data Science
- Strong grasp of ML algorithms, deep learning, neural networks, and model evaluation metrics
- Experience with Python, Jupyter, TensorFlow, PyTorch, or equivalent frameworks
- Proficient in data wrangling, preprocessing, and visualization
- Familiarity with cloud ML platforms like AWS SageMaker, Google AI Platform, or Azure ML
- Experience with APIs and model deployment (Flask, FastAPI, Docker, etc.)
Nice to Have:
- Experience with NLP, LLMs, Chatbots, or Image Recognition
- Familiarity with LangChain, OpenAI API, Hugging Face Transformers
- Experience working with big data tools (Spark, Hadoop)
- Published research or contributions to open-source ML projects
- Knowledge of reinforcement learning, recommendation engines, or anomaly detection systems
Why Work with Pixelizes?
- Build cutting-edge AI products and features
- Flexible, remote-first environment
- A culture of learning, creativity, and innovation
- Competitive compensation and meaningful projects
Job Type: Full Time