About us…

We’re a global intelligent automation consultancy in a period of hyper-growth. Founded in 2020 in the UK, TQA has raised $20m in Series A and expanded to global offices in the US, Argentina, Romania, and the Philippines. We’ve got a team of 140 people across the globe of extremely talented individuals who love to solve problems together. We passionately believe that automation has the power to expedite business transformation, enhance enterprise value, and deliver a positive impact on people’s lives.

If you're seeking a career that's not just a job, but a chance to be part of something revolutionary – then welcome aboard. Join us in shaping the future, as we harness the potential of automation to sculpt a brighter tomorrow for businesses and individuals alike.

About you…

Essential Criteria

• 3-5 years of MLOps or Machine Learning engineering consultancy experience (PhD + 3 years, Masters + 4 years, or Grad + 5 years, ideally in Computer Science, Data Engineering, Machine Learning, or other STEM fields).
• 2+ years of client-facing experience.
• Proven track record of delivering at least one machine learning project into production.
• Experience in supporting and enhancing existing microservices-based ML solutions
  and codebases.
• Familiarity with designing and implementing ML workflows that integrate seamlessly with AWS best practices and architecture.
• Experience with AWS Textract and optimizing its use for effective data extraction.
• Practical experience moving ML models from proof of concept (PoC) to production.

Desirable Criteria

• Experience with multiple cloud platforms or hyperscalers.
• Understanding of Generative AI solutions and their implementation in hybrid
  architectures.
• Exposure to data engineering technologies such as Snowflake or Databricks, particularly in the context of ML workflows.

Technologies

• Proficiency in using AWS services, particularly SageMaker, Lamdas, SQS and Step Functions, to deploy and manage machine learning models, especially in Serverless architectures.
• Strong knowledge of SageMaker Augmented AI and Ground Truth, leveraging its outputs to improve ML models.
• Strong programming skills in Python, including experience with ML libraries such as TensorFlow or PyTorch.
• Familiarity with CI/CD practices for machine learning, including version control and model deployment.
• Experience with monitoring and maintaining ML models in production to ensure performance and reliability.
• Understanding of data preprocessing, feature engineering, and the intricacies of working with different data types (structured, semi-structured, unstructured).

Sounds good? Here’s an outline of the responsibilities

• Design and implement machine learning workflows adhering to AWS best practices and architecture.
• Deploy and maintain ML models in production using AWS SageMaker, Lambda, SQS, and Step Functions within serverless architectures.
• Optimize the use of AWS Textract for efficient data extraction and model enhancement.
• Implement CI/CD practices for machine learning, including model versioning and automated deployments.
• Monitor and maintain production ML models to ensure consistent performance and reliability.
• Conduct data preprocessing and feature engineering on structured, semi-structured, and unstructured data.
• Collaborate with data scientists, data engineers, and solution architects to align project requirements and ensure successful delivery.
• Present MLOps strategies and technical concepts to non-technical stakeholders.
• Advocate for best practices in ML development and deployment across teams.

Why join us?

• You’ll be a part of a highly talented team of individuals from across the globe who are all on a journey to build the best automation consultancy brand in the world!
• We believe in trust and autonomy so we support this with work-life balance initiatives, the flexibility of hybrid working (with plenty of awesome office space for you to work from), and just generally treating our employees like the professionals they are.
• Competitive healthcare plans to look after you and your family.
• A super social culture - we know where to find the best food in town and you’re invited!
• We believe passionately in developing your skills – you get a training budget to allocate to your personal development.
• Incredible office space with collaborative working areas, delicious snacks & drinks, & some of the best co-workers out there!

TQA is an equal opportunities employer. We welcome your application and believe in diversity of experience and opinion. Applications will be considered without regard to education, culture, ethnicity, race, sex, gender identity and expression, nation of origin, age, languages spoken, color, religion, disability, sexual orientation and beliefs.

We celebrate multiple approaches and points of view and believe passionately that employing a diverse workforce is central to our growth and success, so we are building a culture where difference is valued.