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AI/ML Engineer

1 month ago

Pune, Maharashtra, India QuestionPro Full time
Job Title: AI/ML Engineer - Scalable Solutions

About Us:

QuestionPro is a pioneering technology company that has been at the forefront of innovation for over a decade and a half. Our passion for Engineering Excellence has driven us to adopt a wide range of technologies, enabling us to collect millions of survey responses weekly and process this data to produce real-time insights. Our infrastructure spans 8 data centers across the globe.

Our Approach:

We build robust, performant systems that harness the power of AI and machine learning. Our teams are small, independent, and empowered, with an open and flexible culture that fosters growth beyond limits. You'll have the opportunity to work on innovative projects directly with our Executive Team and Customers, alongside some of the best Engineers in the industry.

Position Overview:

As an AI/ML Engineer at QuestionPro, you will play a key role in designing, developing, and deploying machine learning models and artificial intelligence solutions, focusing on leveraging OpenAI technologies. You'll collaborate closely with cross-functional teams, including data scientists, software engineers, and domain experts, to implement and optimize algorithms that enhance our products and services.

Key Responsibilities:
  • Build, deploy, and maintain machine learning models using frameworks such as TensorFlow, PyTorch, and Scikit-learn, ensuring scalable production integration.
  • Develop and manage end-to-end MLOps pipelines, including model versioning, monitoring, and retraining using tools like MLflow, Kubeflow, and SageMaker.
  • Create and maintain robust data pipelines using Apache Airflow, orchestrating ML workflows on Databricks and Apache Spark (PySpark).
  • Optimize GPU workloads and manage high-performance computing (HPC) environments, conducting hyperparameter tuning and leveraging distributed computing for model training.
  • Cross-functionally collaborate with data scientists, engineers, and product teams to align AI/ML initiatives with business goals, translating business requirements into ML models and statistical analysis tasks.

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

Operating Systems: Linux (required), Windows (optional)

Salary Range: $120,000 - $180,000 per year

Qualifications:

1. Bachelor's or Master's in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
2. Proven experience in developing and deploying machine learning models, with a specific focus on OpenAI technologies, in real-world applications.
3. Proficiency in programming languages such as Python, and experience with OpenAI frameworks (e.g., GPT, Codex).
4. Strong understanding of statistical modeling, feature engineering, and data preprocessing techniques, with an emphasis on OpenAI methodologies.
5. Solid understanding of software engineering principles, version control, and collaborative development workflows.
6. Excellent problem-solving and critical-thinking skills with a keen attention to detail.
7. Effective communication skills and the ability to work collaboratively in a team environment.