Ai Machine Learning Developer (Remote)

Ai Machine Learning Developer | Diagonal Matrix Ltd |UK

Key Responsibilities:

1. Model Development and Deployment:

• Design, develop, and train machine learning models for specific usecases, such as classification, regression, clustering, natural languageprocessing, or computer vision.
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Ai Machine Learning Developer | Diagonal Matrix Ltd | UK

Key Responsibilities:

1. Model Development and Deployment:

• Design, develop, and train machine learning models for specific use cases, such as classification, regression, clustering, natural language processing, or computer vision.
• Optimize model performance and accuracy through hyperparameter tuning and advanced techniques.
• Deploy machine learning models into production environments using tools such as TensorFlow Serving, PyTorch, Docker, or Kubernetes.

2. Data Preprocessing and Feature Engineering:

• Extract, clean, and preprocess structured and unstructured data from various sources to make it suitable for ML models.
• Perform feature engineering, selection, and transformation to enhance model performance.

3. Algorithm Research and Experimentation:

• Explore and experiment with state-of-the-art machine learning and AI techniques, including deep learning, reinforcement learning, and transfer learning.
• Stay up-to-date with the latest AI advancements and evaluate their applicability to business needs.

4. Software Development:

• Develop and integrate ML pipelines and APIs for seamless interaction between models and applications.
• Write clean, efficient, and maintainable code following best software engineering practices.

5. Collaboration and Communication:

• Work closely with cross-functional teams, including data engineers, product managers, and domain experts, to define requirements and deliver solutions.
• Clearly communicate technical findings and results to non-technical stakeholders.

6. Performance Monitoring and Maintenance:

• Monitor deployed models to ensure continued accuracy and relevance.
• Refine and retrain models as necessary based on feedback and new data.

Required Skills and Qualifications:

1. Technical Expertise:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, or related field (Ph.D. preferred).
• Strong understanding of machine learning principles, algorithms, and best practices.
• Proficiency in programming languages such as Python, R, or Java.
• Experience with ML frameworks and libraries like TensorFlow, PyTorch, Scikit-learn, Keras, or Hugging Face.

2. Data Management Skills:

• Hands-on experience with data manipulation and analysis using tools like Pandas, NumPy, and SQL.
• Knowledge of big data technologies such as Hadoop, Spark, or Kafka is a plus.

3. Deployment and Scaling:

• Familiarity with cloud platforms like AWS, Azure, or Google Cloud for ML model deployment.
• Understanding of containerization and orchestration tools (e.g., Docker, Kubernetes).

4. Analytical Skills:

• Proficient in statistics, probability, and optimization techniques.
• Experience with visualization tools like Matplotlib, Seaborn, or Tableau.

5. Problem-Solving Ability:

• Strong analytical mindset to solve complex problems and deliver scalable solutions.
• Ability to work on multiple projects simultaneously while meeting deadlines.

6. Communication and Teamwork:

• Excellent written and verbal communication skills.
• Proven ability to collaborate effectively in a team environment.

Preferred Qualifications:

• Certifications in AI/ML technologies or cloud platforms (e.g., AWS Certified Machine Learning, Google Cloud ML Engineer).
• Experience with natural language processing (NLP) or computer vision applications.
• Knowledge of MLOps practices, CI/CD pipelines, and version control systems like Git.
• Background in a specialized field such as robotics, autonomous systems, or financial modeling.

Work Environment:

• A fast-paced, collaborative team environment with opportunities to work on cutting-edge AI technologies.
• Access to advanced computational resources for model training and experimentation.
• Opportunities for professional growth through training, conferences, and certifications.

Compensation and Benefits:

• Competitive salary with performance-based bonuses.
• Health, dental, and vision insurance.
• Opportunities for stock options or equity in the company.
• Flexible working hours and remote work options.

Job Types: Full-time, Contract

Pay: CHF80’000.00 – CHF120’000.00 per year

Work Location: Remote

Tagged as: remote, remote job, virtual, Virtual Job, virtual position, Work at Home, work from home