Remote
Full Time
NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at
Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client's needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, .
| Machine Learning Engineer - Onsite - Jalisco, GL, Mexico AI Prompt Engineers are responsible for designing, refining, and optimizing prompts to interact effectively with AI models. This role is critical for ensuring that AI-generated content is accurate, relevant, and engaging. Responsibilities include Creating effective prompts that elicit the desired responses from AI models. Testing various prompts and analyzing the outputs to refine the prompts further. Working with data scientists, software engineers, and other stakeholders to improve prompt designs and AI performance. Ensuring that prompts adhere to ethical guidelines, including fairness, bias mitigation, and cultural sensitivity. Continuously monitoring AI performance and adjusting prompts as needed. Documenting prompt strategies and outcomes to share insights and best practices. Strong understanding of natural language processing (NLP) and AI behaviors. Keen awareness of ethical considerations in AI and the ability to incorporate them into prompt design.. Designs and develops machine learning models to detect anomalies, malware, phishing, and other cyber threats. |
| . Engage in data science tasks, including selecting appropriate models and systems, identifying key patterns, and determining vital features. . Manage data access and the implementation of systems for efficient data storage.. Streamline data access protocols.. 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.. Tackle and resolve intricate technical challenges.. 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. Required Qualifications: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). Preferred Qualifications: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. |
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. 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, Karn?taka (IN-KA), India (IN).
NTT Data
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Salary: Not disclosed
