Machine Learning Engineer

Proficient in a structured programming language is a must - such as Python (preferred), Java, C/C++ is mandatory. Experience in one of the machine learning frameworks such as Keras, Tensorflow, PyTorch. Have a sound understanding of Data Analysis, Visualisation, and Data Processing methods using NumPy, Pandas, and Matplotlib. Hands on experience in machine learning algorithms such as Logistic Regression, SVM, Decision Trees, Random Forests,CNNs and Resnets. Hands on experience in edge detection, feature extraction using OpenCV. Experience in NLP, Spark, AWS SageMaker, S3 and Snowflake. Good understanding of optimising data processing pipelines. Developing and enhancing algorithms and models to solve business problem Ability to work and thrive in a start-up environment, learn rapidly and deliver. Ability to manage multiple projects and on-demand business requests simultaneously. Strong written and verbal communication skills. Good understanding of JIRA. Roles and Responsibilities Lead and drive the deployment of ML models, life cycle management and monitoring of Machine Learning(ML) and Deep Learning (DL) models in in all stages leading to production. Perform statistical analysis and fine-tuning using test results. Build and maintain tools for deployment, monitoring, and operations. Also troubleshoot and resolve issues in development, testing, and production environments. Escalates technical issues to an appropriate party (e.g., project lead, colleagues). Resolves straightforward software issues and bugs within a reasonable amount of time. Prioritizes project deadlines and deliverables with close supervision. Communicates with project lead to provide status and information about impending obstacles. Collaborates with others inside project team to accomplish project objectives. Actively seeks answers for new challenges. Work with business stake holders to understand the problem, convert into analytical questions and explain the results. Write production level code with best software engineering practices in place along with proper documentation. For ML solutions ensure models accuracy and performance over time by enabling monitoring in production systems. Guide and mentor the junior team members. Discover your potential as a tech professional United Kingdom United Kingdom

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