MLOP Engineer at NTT DATA

India, Taurage County, Lithuania -

Full Time

Start Date

Immediate

Expiry Date

16 Jan, 26

Salary

0.0

Posted On

18 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, AI Engineering, Python, ML Libraries, Data Processing, Feature Selection, Model Evaluation, Cloud Platforms, MLOps Tools, NLP, Computer Vision, Reinforcement Learning, Containerization, Orchestration, Flask, Database Management

Industry

IT Services and IT Consulting

Description

Responsibilities include Creating effective prompts that elicit the desired responses from AI models. Working with data scientists, software engineers, and other stakeholders to improve prompt designs and AI performance. Designs and develops machine learning models to detect anomalies, malware, phishing, and other cyber threats. Processes and analyzes large volumes of security data (e.g., logs, network traffic, threat intelligence) to train predictive models. Collaborates with cybersecurity teams to integrate intelligent systems into threat detection, incident response, and risk management workflows. Builds automated systems for real-time threat monitoring, classification, and prioritization. Evaluates model performance and accuracy, tuning algorithms to reduce false positives and improve detection rates. Implements secure and ethical AI practices, ensuring models are explainable, auditable, and compliant with regulations. Develops and maintains data pipelines for continuous learning and model updates. Supports forensic investigations by uncovering hidden patterns and correlations in complex datasets. Manage data access and the implementation of systems for efficient data storage. Establish and maintain robust database connections. Apply your expertise in Machine Learning to develop and refine algorithms. Build and maintain Flask applications. Work in close collaboration with cross-functional teams (product, engineering) to drive product innovation and efficiency. Design, implement, and maintain machine learning models and algorithms Work alongside cross-functional teams to integrate ML/AI solutions into broader product and service offerings. Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, or a related field. 3+ years of experience in machine learning or AI engineering. Proficiency in Python and ML libraries such as scikit-learn, TensorFlow, PyTorch, or XGBoost. Strong understanding of supervised, unsupervised, and deep learning techniques. Experience with cloud platforms (e.g., AWS, Azure, GCP) and ML services. Familiarity with data preprocessing, feature selection, and model evaluation. Solid knowledge of software engineering principles and version control (e.g., Git). Experience with MLOps tools and practices (e.g., MLflow, Kubeflow, SageMaker). Knowledge of NLP, computer vision, or reinforcement learning. Familiarity with containerization (Docker) and orchestration (Kubernetes). Publications or contributions to open-source ML projects. --- Req ID: 345174 If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a MLOP Engineer to join our team in Jalisco, GDL, MX - Onsite, Karnātaka (IN-KA), India (IN).

Responsibilities

The MLOP Engineer will create effective prompts for AI models and collaborate with various teams to enhance AI performance. They will also design machine learning models for detecting cyber threats and build automated systems for real-time monitoring.