Onelab Ventures - AI/ML Engineer - Data Modeling

Job Summary

Responsibilities

• Design and implement machine learning models and AI solutions for business use cases.
• Build and optimize data preprocessing pipelines for training and inference.
• Train, evaluate, and fine-tune supervised, unsupervised, and deep learning models.
• Collaborate with data engineers, product teams, and software developers.
• Deploy ML models into production using APIs, Docker, or cloud-native tools.
• Monitor model performance and retrain/update models as needed.
• Document model architectures, experiments, and performance metrics.
• Research and stay updated on new AI/ML trends and tools.
  

Required Skills And Experience

• Strong programming skills in Python (NumPy, Pandas, Scikit-learn, etc.
• Experience with deep learning frameworks like TensorFlow, Keras, or PyTorch.
• Solid understanding of machine learning algorithms, data structures, and statistics.
• Experience with NLP, computer vision, or time series analysis is a plus.
• Familiarity with tools like Jupyter, MLflow, or Weights & Biases.
• Understanding of Docker, Git, and RESTful APIs.
• Experience with cloud platforms such as AWS, GCP, or Azure.
• Strong problem-solving and communication skills.
  

Nice To Have

• Experience with MLOps tools and concepts (CI/CD for ML, model monitoring).
• Familiarity with big data tools (Spark, Hadoop).
• Knowledge of FastAPI, Flask, or Streamlit for ML API development.
• Understanding of transformer models (e.g., BERT, GPT) or LLM :
• Bachelors or Masters degree in Computer Science, Data Science, AI, or a related field.
• Certifications in Machine Learning/AI (e.g., Google ML Engineer, AWS ML Specialty) are a plus.