About Company
At Career.zycto, we are at the forefront of harnessing data to build intelligent, predictive solutions that redefine industries. For a Machine Learning Developer passionate about cutting-edge algorithms and real-world impact, this is a unique opportunity to shape the future. We empower our team to innovate freely, collaborate on challenging projects, and continuously learn within a supportive, dynamic environment. Join us to transform complex data into actionable insights and drive technological advancements within a forward-thinking organization dedicated to pushing technological boundaries.
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Job Description
Career.zycto is seeking an innovative and highly skilled Machine Learning Developer specializing in Predictive Systems to join our dynamic team in Lenzie, Glasgow. In this pivotal role, you will be instrumental in designing, developing, and deploying cutting-edge machine learning models that drive foresight and strategic decision-making across various projects. We are looking for someone with a profound understanding of machine learning principles, statistical modeling, and hands-on experience in building robust, scalable predictive solutions from inception to production. This position offers a unique opportunity to work on challenging real-world problems, where your contributions will directly impact our clients’ operational efficiency and strategic growth.
You will be collaborating closely with data scientists, software engineers, and product managers to identify key business challenges that can be addressed through advanced predictive analytics. This involves a comprehensive workflow: from extensive data exploration, cleansing, and feature engineering to sophisticated model selection, training, rigorous evaluation, and continuous improvement using A/B testing and other validation techniques. Our ideal candidate thrives in a fast-paced environment, possesses strong problem-solving abilities, and is passionate about transforming complex data into clear, actionable insights that guide business strategy. You will also be responsible for ensuring the reliability, efficiency, and scalability of our ML systems, implementing best practices for MLOps, and staying abreast of the latest advancements in the field. If you are eager to push the boundaries of machine learning, contribute to a culture of innovation, and create tangible impact through intelligent systems, we encourage you to apply and help us build the future of predictive technology.
Key Responsibilities
- Design, develop, and deploy machine learning models for various predictive analytics applications.
- Perform data preprocessing, feature engineering, and model training using large and complex datasets.
- Rigorously evaluate and validate models using appropriate statistical and machine learning techniques, ensuring high accuracy and reliability.
- Collaborate effectively with cross-functional teams including data scientists, software engineers, and product managers to define project scope, requirements, and deliverables.
- Implement and maintain robust MLOps pipelines for continuous integration, deployment, and monitoring of machine learning models in production.
- Research and apply state-of-the-art machine learning algorithms and technologies to solve real-world problems.
- Optimize model performance, scalability, and efficiency, ensuring systems can handle growing data volumes and user demands.
- Clearly communicate complex technical concepts, model findings, and insights to both technical and non-technical stakeholders.
Required Skills
- Proficiency in Python programming language and relevant ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).
- Strong theoretical and practical understanding of statistical modeling and various machine learning algorithms (e.g., regression, classification, clustering, time series analysis).
- Extensive experience with data manipulation and analysis tools (e.g., Pandas, NumPy, SQL).
- Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and their respective machine learning services.
- Experience with version control systems, particularly Git.
- Solid understanding of MLOps principles and best practices for deploying and managing ML models.
- Excellent problem-solving, critical thinking, and analytical skills.
- Strong communication, presentation, and teamwork abilities.
Preferred Qualifications
- Master's or Ph.D. in Computer Science, Machine Learning, Statistics, or a related quantitative field.
- Experience with big data technologies such as Apache Spark or Hadoop.
- Familiarity with containerization technologies like Docker and orchestration with Kubernetes.
- Experience working in a specific industry domain (e.g., finance, healthcare, retail, manufacturing) where predictive systems are critical.
- Demonstrated contributions to open-source ML projects or relevant publications.
Perks & Benefits
- Competitive salary package and performance-based bonuses.
- Generous paid time off policy and observance of all public holidays.
- Comprehensive health, dental, and vision insurance coverage.
- Dedicated professional development budget for courses, conferences, and certifications.
- Flexible working hours and potential for occasional remote work options.
- Company pension scheme with employer contributions.
- Modern, collaborative office environment equipped with the latest tools.
- Regular team social events, workshops, and wellness programs.
- Opportunity to work with cutting-edge technologies and drive innovation.
How to Apply
To apply for this exciting opportunity, please submit your resume and a cover letter detailing your experience with machine learning and predictive systems by clicking the application link below. We look forward to reviewing your application.
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