Senior MLEngineer
- Trigent
- 6 - 10 years
- Bengaluru
- 9 months ago
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Job Description
Role Overview:
The client is looking for experienced ML Engineer specializing in anomaly and fraud
detection for their cyber security team. The ideal candidates will have strong expertise
in ML, deep learning, and time series analytics, with a proven ability to work with large-
scale datasets. Strong storytelling skills to communicate insights to non-technical
stakeholders are crucial.
Key Responsibilities:
- Lead and contribute to the full lifecycle of AI/ML projects, from problem definition
and data exploration to model development, deployment, and monitoring in the
Azure cloud environment with Azure Databricks.
- Apply a strong foundation in deep learning, probabilistic modeling, and time
series clustering techniques and their productionization to solve problems
such as anomaly detection and fraud detection
- Develop and scale production ready ML models for anomaly and fraud detection.
- Work with Python, TensorFlow, XGBoost and other explainable models, Azure
DBP (must) and Azure Databricks (preferred).
- Conduct threat hunting and cybersecurity-related analytics (bonus).
- Handle large-scale data processing and drive insights.
- Translate complex ML models into explainable and actionable business
insights for non-technical audiences.
- Conduct thorough data analysis, feature engineering using feature store, and
model evaluation to ensure high-performing and reliable solutions.
- Troubleshoot, debug, and optimize AI/ML models and pipelines for performance
and scalability, ensuring continuous improvement and alignment with evolving
business needs.
- Take ownership and lead parts of the project to deliver high-impact AI solutions
that align with business objectives.
- Engage with all stakeholders to present technical concepts and solutions in
business-friendly terms, ensuring alignment with strategic goals.
Qualifications
- Strong past experience in ML engineering and data science, with at least 5-10
years of experience in machine learning and anomaly detection.
- Strong Python proficiency with hands-on experience in TensorFlow, XGBoost,
time series analytics and Azure DBP.
- Hands-on experience with large-scale datasets and probabilistic modeling.
- Ability to communicate complex ML concepts effectively.
Domain Expertise (Preferred)
- Cybersecurity background is a plus.
- Experience with Azure Databricks is an advantage.
Job Classification
Industry: Analytics / KPO / ResearchFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Machine Learning EngineerEmployement Type: ContractContact Details:
Company: Trigent SoftwareLocation(s): Bengaluru
Keyskills: Tensorflow Xgboost Machine Learning Azure DBP Python Probabilistic Azure Databricks Deep Learning Azure blueprints
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