Expert AI Model Developer and Researcher
1 day ago
We are extremely passionate about Engineering Excellence at QuestionPro. Over the last decade and a half, our team has constantly evolved, adopting a wide range of technologies to develop high-quality software at scale.
Our infrastructure spans 8 data centers across the globe, processing millions of survey responses weekly and producing real-time insights through cutting-edge visualizations and AI-powered analytics.
As an Expert AI Model Developer and Researcher at QuestionPro, you will play a key role in designing, developing, and deploying machine learning models and artificial intelligence solutions with a focus on OpenAI technologies.
You will work closely with cross-functional teams to implement and optimize algorithms that enhance our products and services.
Key Responsibilities:
- Model Development & Deployment: Build, deploy, and maintain machine learning models using TensorFlow, PyTorch, and Scikit-learn. Ensure scalable production integration and statistical techniques (e.g., regression, clustering).
- MLOps & Automation: Develop end-to-end MLOps pipelines, including model versioning, monitoring, and retraining using MLflow, Kubeflow, and SageMaker. Implement CI/CD with Jenkins, Git, Terraform, Docker, and Kubernetes on AWS EKS.
- Pipeline Management: Create robust data pipelines using Apache Airflow, orchestrating ML workflows on Databricks and Apache Spark (PySpark).
- Optimization & HPC: Optimize GPU workloads and manage high-performance computing environments. Conduct hyperparameter tuning and leverage distributed computing for model training.
- Cross-functional Collaboration: Collaborate with data scientists, engineers, and product teams to align AI/ML initiatives with business goals. Translate business requirements into ML models and statistical analysis tasks.
- Lifecycle Management: Oversee the full ML lifecycle, including model validation, deployment, monitoring, and regular updates using statistical metrics and performance evaluations.
Tech Stack:
- Languages: Python (required), R, Java (preferred)
- ML Frameworks: TensorFlow, PyTorch, Scikit-learn, LangChain, LLAMA, XGBoost, LightGBM, Keras
- MLOps Tools: MLflow, Kubeflow, SageMaker, TFX (TensorFlow Extended)
- Statistical Tools: R, Python (pandas, NumPy, SciPy, statsmodels)
- Data Engineering: Apache Spark (PySpark), Databricks
- CI/CD & Orchestration: Jenkins, Git, Terraform, Apache Airflow, CircleCI
- Containerization: Docker, Kubernetes
- Data Management: SQL, NoSQL, Vector Databases
Qualifications:
- Bachelor's or Master's in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Proven experience in developing and deploying machine learning models with a focus on OpenAI technologies in real-world applications.
- Proficiency in programming languages such as Python, and experience with OpenAI frameworks (e.g., GPT, Codex).
- Strong understanding of statistical modeling, feature engineering, and data preprocessing techniques with an emphasis on OpenAI methodologies.
- Solid understanding of software engineering principles, version control, and collaborative development workflows.
- Excellent problem-solving and critical-thinking skills with a keen attention to detail.
- Effective communication skills and the ability to work collaboratively in a team environment.
The estimated salary for this position is around $150,000 - $200,000 per year, depending on experience and location. We offer a competitive compensation package, comprehensive benefits, and opportunities for growth and professional development.
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