Senior AI/ML Architect

4 days ago

Pune, Maharashtra, India QuestionPro Full time
Transformative AI/ML Engineer Role at QuestionPro

We are seeking a highly skilled Senior AI/ML Engineer to join our engineering team at QuestionPro. As a key member of our team, you will play a vital role in designing, developing, and deploying machine learning models and artificial intelligence solutions.

About the Role

This is an exciting opportunity for a talented engineer to work with cutting-edge technologies and contribute to the development of innovative products and services. You will work closely with cross-functional teams to implement and optimize algorithms that enhance our products and services.

Main Responsibilities:
  • Model Development & Deployment: Build, deploy, and maintain machine learning models using frameworks such as TensorFlow, PyTorch, and Scikit-learn. Implement statistical techniques (e.g., regression, clustering) and ensure scalable production integration.
  • MLOps & Automation: Develop and manage end-to-end MLOps pipelines, including model versioning, monitoring, and retraining using tools like MLflow, Kubeflow, and SageMaker. Ensure continuous integration and deployment of models (CI/CD) with Jenkins, Git, Terraform, and containerization (Docker, Kubernetes on AWS EKS).
  • Pipeline Management: Create and maintain 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 (HPC) 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.
Requirements:
  • 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
Estimated Salary:

$140,000 - $160,000 per annum, depending on experience and qualifications.

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