Job Description

NETS International Group is seeking a

highly skilled AI/ML Engineer

to join our innovation and analytics division. The ideal candidate will have strong expertise in

machine learning, data science, and AI model deployment

, with the ability to design, train, and optimize predictive systems that deliver measurable impact.

This role involves working closely with

data engineers, software developers, and cloud architects

to integrate AI-driven solutions into scalable enterprise applications using modern frameworks, cloud services, and MLOps practices.

Key Responsibilities:

Design, develop, and deploy

machine learning models

and

AI-based solutions

for predictive analytics, automation, and decision support. Perform

data preprocessing, feature engineering, and model evaluation

using statistical and deep learning techniques. Implement models using

Python frameworks

such as

TensorFlow, PyTorch, Scikit-learn, and Keras

. Collaborate with data engineers to build and maintain

data pipelines

for training and inference. Integrate AI models into

production environments

using APIs, containers, and cloud-based services (AWS Sagemaker, Azure ML, or Google AI Platform). Work with large datasets from diverse sources -- structured, unstructured, and streaming -- ensuring

data quality and security

. Develop and optimize

MLOps pipelines

for continuous training, deployment, and monitoring of machine learning models. Conduct

research and experimentation

to evaluate new AI techniques and frameworks that can enhance enterprise systems. Collaborate cross-functionally with business and technical teams to translate requirements into actionable AI/ML solutions. Ensure

model explainability, fairness, and compliance

with company and industry standards.

Qualifications:

Bachelor's or Master's degree in

Computer Science, Data Science, Artificial Intelligence, or related field

. Proven experience (3+ years) in

machine learning, AI model development, and data analytics

. Proficiency in

Python

, with strong knowledge of libraries such as

NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch

, and

Keras

. Strong understanding of

data preprocessing, model selection, feature engineering, and evaluation metrics

. Experience with

SQL and NoSQL databases

(MySQL, MongoDB, PostgreSQL, etc.). Hands-on experience with

cloud-based AI/ML services

(AWS Sagemaker, Azure ML, GCP AI Platform). Familiarity with

DevOps/MLOps tools

(Docker, Kubernetes, MLflow, or Kubeflow) for scalable deployment. Good grasp of

statistics, probability, linear algebra, and data visualization tools

(Matplotlib, Seaborn, Power BI). Knowledge of

Natural Language Processing (NLP), Computer Vision

, or

Generative AI

is a strong plus. Excellent problem-solving, analytical, and collaboration skills.
Job Type: Full-time

Ability to commute/relocate:

London CR0: reliably commute or plan to relocate before starting work (required)
Application question(s):

what is your monthly current salary with currency? what is your monthly expected salary with currency? what is your notice period?
Education:

Bachelor's (required)
Experience:

AI ML: 4 years (required)
Work Location: In person