Senior AI Engineer
- Opentext
- 6 - 11 years
- Bengaluru
- 2 days ago
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Job Description
Your Impact
We are seeking a seasoned Senior Data Engineer to lead the development of intelligent solutions that solve complex business challenges. You will own the full lifecycle of AI/ML projectsfrom raw data processing and feature engineering to model deployment and monitoring. With 6+ years of experience, you are expected to bring technical depth in Python, very good in data processing using spark/pyspark etc. Strong foundation in statistical modeling, and the ability to mentor junior team members.
What the role offers
- End-to-End ML Pipelines: Big data processing, Design, develop, and deploy scalable machine learning models (Supervised, Unsupervised, and Deep Learning).
- Advanced Data Processing: Architect robust data preprocessing workflows to handle large-scale structured and unstructured datasets, ensuring high data quality and integrity.
- AI Innovation: Stay at the forefront of AI research (Generative AI, LLMs, NLP, or Computer Vision) and apply cutting-edge techniques to improve existing products.
- Feature Engineering: Collaborate with Data Engineers to create reusable feature stores and optimize ETL/ELT processes for ML readiness.
- Model Governance: Implement MLOps best practices, including model versioning (MLflow), experiment tracking, and monitoring for data drift and performance decay.
- Strategic Leadership: Translate ambiguous business problems into technical roadmaps and present actionable insights to executive stakeholders.
What you need to succeed
- Programming: Mastery of Python (Pandas, NumPy, Scikit-learn) and proficiency in SQL for complex data extraction.
- Machine Learning: Deep expertise in classical ML (XGBoost, Random Forest) and Deep Learning frameworks (TensorFlow or PyTorch).
- Data Engineering: Strong experience in data processing at scale (using PySpark, Dask, or specialized SQL window functions).
- Deployment: Experience containerizing models with Docker/Kubernetes and deploying via APIs (FastAPI/Flask).
- Cloud Platforms: Hands-on experience with AI/ML services in Azure (Azure ML), AWS (SageMaker), or GCP (Vertex AI).
Job Classification
Industry: Software ProductFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Machine Learning EngineerEmployement Type: Full timeContact Details:
Company: OpentextLocation(s): Bengaluru
Keyskills: ai engineer kubernetes data preprocessing python data engineer ai numpy machine learning sql docker pandas deep learning tensorflow nlp spark azure ml computer vision pytorch feature engineering dask flask big data
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