Data Engineer

Jobster; Waterside; On-site; GBP 70,000 - 90,000; Full time

Job summary

A leading technology company is seeking a highly skilled Data Engineer to design, develop, and deploy advanced machine learning solutions. The ideal candidate will have over 12 years of experience, a strong proficiency in Python, and a background in AI projects. Responsibilities include optimizing machine learning models, building data pipelines, and collaborating with various teams to deliver data-driven products. A bachelor's or master's degree in a related field is required, with PhD preferred for advanced roles.

Qualifications

• 12+ years of experience required.
• Hands-on experience with AutoML techniques.
• Strong analytical thinking and problem-solving skills.

Responsibilities

• Design, develop, and optimize machine learning and deep learning models.
• Work on AI/ML projects including NLP, computer vision, recommendation systems, and generative AI.
• Perform data cleaning, feature engineering, and exploratory data analysis (EDA).
• Build and manage data pipelines and model training workflows.
• Deploy models into production and monitor performance.
• Collaborate with Product, Engineering, and Business teams to translate business problems into AI solutions.
• Conduct model evaluation, A/B testing, and performance tuning.
• Document models, experiments, and technical processes.

Skills

Classic Machine learning (Regression, predictive Analysis, Classification, Clustering)

Machine learning Model Optimisation

Strong proficiency in Python (NumPy, Pandas, Scikit-learn)

Hands-on experience with Deep Learning frameworks: TensorFlow, PyTorch, or Keras

Experience in Natural Language Processing (NLP) and/or Computer Vision

Strong knowledge of Machine Learning algorithms and statistics

Experience with SQL/NoSQL databases and big data tools (Spark, Hadoop preferred)

Experience with MLOps tools such as Docker, Kubernetes, CI/CD pipelines

Education

Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or a related field

Tools

Docker

Kubernetes

TensorFlow

PyTorch

Keras

Job description

Overview

Job: Data Engineer

Key skills: AI to design, develop, and deploy, machine learning and artificial intelligence

Experience: 12+ years

Location: Waterside, UK

Job Type: Permanent (Full time)

We at Coforge are seeking a Data Engineer with the following skill-set. We are seeking a highly skilled Data Scientist – AI to design, develop, and deploy advanced machine learning and artificial intelligence solutions. The ideal candidate will work on large datasets, build predictive models, and collaborate cross-functionally to deliver scalable, data-driven products.

Key Responsibilities

• Design, develop, and optimize machine learning and deep learning models.
• Work on AI/ML projects including NLP, computer vision, recommendation systems, and generative AI.
• Perform data cleaning, feature engineering, and exploratory data analysis (EDA).
• Build and manage data pipelines and model training workflows.
• Deploy models into production and monitor performance.
• Collaborate with Product, Engineering, and Business teams to translate business problems into AI solutions.
• Conduct model evaluation, A/B testing, and performance tuning.
• Document models, experiments, and technical processes.

Required Skills & Qualifications

• Classic Machine learning (Regression, predictive Analysis, Classification, Clustering)
• Machine learning Model Optimisation
• Strong proficiency in Python (NumPy, Pandas, Scikit-learn).
• Hands-on experience with Deep Learning frameworks: TensorFlow, PyTorch, or Keras.
• Experience in Natural Language Processing (NLP) and/or Computer Vision.
• Strong knowledge of Machine Learning algorithms and statistics.
• Experience with SQL/NoSQL databases and big data tools (Spark, Hadoop preferred).
• Experience with MLOps tools such as Docker, Kubernetes, CI/CD pipelines.

Preferred Skills

• Experience with LLMs / Generative AI (OpenAI, Hugging Face, LangChain).
• Cloud experience (AWS, Azure, or GCP).
• Experience building AI APIs and microservices.

Education

• Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or a related field. (PhD preferred for advanced research roles)

Soft Skills

• Strong problem-solving and analytical thinking
• Excellent communication and storytelling skills