Onelab Ventures - AI/ML Engineer - Data Modeling

Job Summary :

The ideal candidate should have strong foundations in machine learning algorithms, Python programming, and experience with model development, data pipelines, and production deployment in cloud or on-prem environments.

Key Responsibilities :

- 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 :

- 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 integration.

Education :

- Bachelors or Masters degree in Computer Science, Data Science, AI, or a related field.