Experienced AI Data Engineer – Cloud-Based Data Pipelines and AI Solution Development Specialist

Introduction to Workwarp and Our Vision

At Workwarp, we are pioneers in harnessing the power of artificial intelligence and data engineering to shape the future of technology and innovation. Our mission is to create cutting-edge solutions that transform industries and improve lives. We are now seeking an experienced AI Data Engineer to join our team of visionary thinkers and talented professionals. As a 100% remote position, you will have the flexibility to work from anywhere, at any time, giving you full control over your work environment and allowing you to achieve a perfect balance between your professional and personal life.

Job Overview

This role requires a unique blend of technical expertise, innovative thinking, and collaboration skills. As an AI Data Engineer at Workwarp, you will be responsible for designing, developing, and deploying scalable and robust AI solutions, leveraging cloud-based data pipelines, data warehouses, data lakes, and data quality tooling. Your expertise in SQL, Python, and Microsoft services such as Databricks and Azure Services will be essential in driving success in this position. If you are passionate about AI, machine learning, and data engineering, and have a strong desire to work on challenging projects, we encourage you to apply for this exciting opportunity.

Key Responsibilities

• Design, develop, and deploy cloud-based data pipelines, data warehouses, data lakes, and data quality tooling to support AI and machine learning applications
• Work with cross-functional teams to identify and prioritize project requirements, and develop solutions that meet business needs
• Develop and maintain scalable and robust AI solutions using best practices such as MLOps, LLM Ops, CI/CD, testing, and monitoring
• Collaborate with data scientists and engineers to design and implement AI and machine learning models, and integrate them with cloud-based data pipelines
• Work with agile methodologies to deliver high-quality solutions quickly and efficiently
• Ensure data quality, security, and compliance, and develop solutions to address data governance and privacy concerns
• Stay up-to-date with the latest trends and technologies in AI, machine learning, and data engineering, and apply this knowledge to improve existing solutions and develop new ones

Essential Qualifications

• Experience working with applications and data in a cloud environment, with a strong understanding of cloud-based data pipelines, data warehouses, data lakes, and data quality tooling
• Proficiency in SQL and Python, with experience working with data pipelines, data warehouses, and data lakes
• Experience with Microsoft services such as Databricks and Azure Services, with a strong understanding of their applications and limitations
• Experience working with RESTful APIs and microservices, with a strong understanding of their role in cloud-based data pipelines
• Experience working with agile methodologies, with a strong understanding of their principles and practices
• Experience working in a container environment, with a strong understanding of containerization and its applications

Preferred Qualifications

• Knowledge of AI and machine learning concepts, frameworks, and tools, such as TensorFlow, PyTorch, Scikit-learn, Deep learning, LLM, Embeddings, Google Vertex, and Amazon SageMaker
• Experience building and deploying scalable and robust AI solutions, using best practices such as MLOps, LLM Ops, CI/CD, testing, and monitoring
• Experience working with distributed computing, such as Spark, Hadoop, and Kafka, with a strong understanding of their applications and limitations
• Experience working with C/C#, with a strong understanding of their applications and limitations

Skills and Competencies

• Excellent communication and collaboration skills, both verbal and written, with the ability to work effectively with cross-functional teams and stakeholders
• Strong analytical and problem-solving skills, with attention to detail and quality, and the ability to learn new technologies and tools quickly and independently
• Ability to work in a fast-paced and dynamic environment, with changing priorities and deadlines, and a strong passion for innovation and continuous improvement
• Ability to work effectively with cross-functional teams and stakeholders, both internal and external, and a strong commitment to delivering high-quality solutions quickly and efficiently

Career Growth Opportunities and Learning Benefits

At Workwarp, we are committed to the growth and development of our employees. As an AI Data Engineer, you will have access to a wide range of training and development opportunities, including workshops, conferences, and online courses. You will also have the opportunity to work on challenging projects, and collaborate with experienced professionals who are passionate about AI, machine learning, and data engineering. Our goal is to provide you with the skills, knowledge, and experience you need to succeed in your career, and to help you achieve your full potential.

Work Environment and Company Culture

At Workwarp, we value innovation, creativity, and collaboration. Our company culture is built on a foundation of respect, trust, and open communication, and we are committed to creating a work environment that is inclusive, diverse, and supportive. As a remote employee, you will be part of a global team, and will have the opportunity to collaborate with colleagues from different backgrounds and cultures. We believe in work-life balance, and offer flexible working hours, and a range of benefits and perks to support your well-being and happiness.

Compensation, Perks, and Benefits

We offer a competitive salary, benchmarked at up to £80,000 per month, depending on experience and qualifications. You will also have access to a range of benefits and perks, including the opportunity to work from home, flexible working hours, and a range of training and development opportunities. We believe in recognizing and rewarding outstanding performance, and offer a range of incentives and bonuses to motivate and inspire our employees.

Conclusion

If you are a motivated and talented AI Data Engineer, with a passion for innovation and continuous improvement, we encourage you to apply for this exciting opportunity. At Workwarp, we are committed to creating a work environment that is inclusive, diverse, and supportive, and to providing our employees with the skills, knowledge, and experience they need to succeed in their careers. Don't hesitate to apply, and join our team of visionary thinkers and talented professionals. Submit your application today, and take the first step towards an exciting and rewarding career in AI and data engineering.