At a Glance
- Tasks: Build AI infrastructure and develop analytical tools while collaborating with engineering teams.
- Company: Join a forward-thinking company at the forefront of AI and Machine Learning innovation.
- Benefits: Enjoy remote work flexibility and opportunities for professional growth and development.
- Why this job: Dive into an exciting field, make impactful contributions, and work with cutting-edge technologies.
- Qualifications: Strong Python skills and a passion for AI; STEM degree preferred but not mandatory.
- Other info: Ideal for self-starters eager to learn and grow in a dynamic environment.
The predicted salary is between 36000 - 60000 £ per year.
We are actively seeking a candidate with strong expertise in Python software engineering, who demonstrates either prior experience or a keen interest in transitioning to the dynamic field of AI/Machine Learning. The primary responsibilities of this position revolve around constructing AI development and production infrastructure, as well as implementing them effectively. Your specific tasks will include aiding in the construction of analytical tools, curating datasets, conducting experiments, precisely estimating impact, productizing solutions, and monitoring the performance of machine learning models. Remote, work from home opportunity.
Roles, Responsibilities & Duties
- Develop high-quality code for seamless integration of Data Science tools and processes into the company's products and services.
- Offer expert analysis and valuable insights to the product development team, contributing to the enhancement of our product offering.
- Foster close collaboration with engineering teams to optimize the implementation and monitoring of solutions.
- Conduct research, provide recommendations, and implement best practices in data science and data engineering.
Qualifications, Skills & Experience
- Fluency in English is essential.
- Demonstrated history of developing high-quality Python code for production environments, including conducting thorough code reviews and implementing comprehensive unit testing.
- Advanced knowledge and expertise in CI/CD software development pipelines, tools, and methodologies, such as Git, Azure DevOps, and Docker.
- Hands-on experience with Data/ML Engineering techniques, including data pipelines, ETL processes, and data transfers.
- Sound understanding of utilizing data science methodologies and technologies to tackle business challenges.
- Familiarity with Machine Learning, Deep Learning frameworks (such as TensorFlow/PyTorch), Large Language Models (LLMs), and Natural Language Processing (NLP) libraries and models is highly desirable.
- Expertise in manipulating and curating large datasets.
- Ideally familiar with SQL (particularly PostgreSQL), Azure, or other cloud vendors.
- Exceptional interpersonal skills to cultivate relationships with both internal and external clients.
- Strong written and verbal communication skills, enabling effective communication with individuals at all levels.
- Self-sufficiency in work, proactive in identifying and presenting solutions, and confident in decision-making abilities.
- Meticulous attention to detail.
- Ability to collaborate effectively within a team environment.
Preferred qualifications include a degree (or higher) or an equivalent qualification in a STEM (science, technology, engineering, and mathematics) discipline.
AI Engineer (Remote) employer: KLDiscovery Limited
Contact Detail:
KLDiscovery Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer (Remote)
✨Tip Number 1
Familiarise yourself with the latest trends and technologies in AI and Machine Learning. This will not only help you during interviews but also demonstrate your genuine interest in the field, which is crucial for a role like this.
✨Tip Number 2
Engage with online communities and forums related to AI and Python development. Networking with professionals in the field can provide valuable insights and potentially lead to referrals, increasing your chances of landing the job.
✨Tip Number 3
Showcase your practical experience by working on personal or open-source projects that involve AI or Machine Learning. Having tangible examples of your work can set you apart from other candidates and highlight your skills effectively.
✨Tip Number 4
Prepare to discuss your approach to problem-solving and collaboration during the interview. Since the role involves working closely with engineering teams, demonstrating your ability to communicate and work well with others will be key.
We think you need these skills to ace AI Engineer (Remote)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your Python software engineering experience and any relevant projects in AI or Machine Learning. Use specific examples to demonstrate your skills in developing high-quality code and working with data pipelines.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for transitioning into the AI field. Mention your familiarity with tools like TensorFlow or PyTorch, and how your background in software engineering will contribute to the role.
Showcase Relevant Projects: If you have worked on any AI or Machine Learning projects, include them in your application. Describe your role, the technologies used, and the impact of your work. This will help demonstrate your hands-on experience.
Highlight Soft Skills: Since the role requires collaboration with various teams, emphasise your interpersonal skills and ability to communicate effectively. Provide examples of how you've successfully worked in team environments or contributed to product development.
How to prepare for a job interview at KLDiscovery Limited
✨Showcase Your Python Skills
Be prepared to discuss your experience with Python in detail. Highlight specific projects where you've developed high-quality code, and be ready to explain your approach to code reviews and unit testing.
✨Demonstrate Your AI Knowledge
Familiarise yourself with the latest trends in AI and Machine Learning. Be ready to discuss frameworks like TensorFlow or PyTorch, and how you've applied them in past projects or how you plan to do so in the future.
✨Prepare for Technical Questions
Expect technical questions related to CI/CD pipelines, data engineering techniques, and SQL. Brush up on your knowledge of tools like Git and Azure DevOps, and be ready to provide examples of how you've used them.
✨Emphasise Collaboration Skills
Since this role involves working closely with engineering teams, be sure to highlight your interpersonal skills. Share examples of how you've successfully collaborated with others to optimise solutions and enhance product offerings.