AI & Machine Learning Engineer
AI & Machine Learning Engineer
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1 Vacancy
Job Description
Your key responsibilities
You will work with a wide variety of clients to deliver the latest data science and big data technologies. Your teams will design and build scalable solutions that unify enrich and derive insights from varied data sources across a broad technology landscape. You will help our clients navigate the complex world of modern data science analytics and software engineering. Well look to you to provide guidance and perform technical development tasks to ensure data science solutions are properly engineered and maintained to support the ongoing business needs of our clients.
You will be joining a dynamic and interdisciplinary team of scientists and engineers who love to tackle the most challenging computational problems for our clients. We love to think creatively build applications efficiently and collaborate in both the ideation of solutions and the pursuit of new opportunities. Many on our team have advanced academic degrees or equivalent experience in industry.
Skills and attributes for success
This role will work to deliver tech at speed innovate at scale and put humans at the center. Provide technical guidance and share knowledge with team members with diverse skills and backgrounds. Consistently deliver quality client services focusing on more complex judgmental and/or specialized issues surrounding emerging technology. Demonstrate technical capabilities and professional knowledge.
To qualify for the role you must have
- Bachelors degree and 6-10 years of full-time working experience in AI Data Science and/or Machine Learning
- 2-4 years of experience directly managing technical teams
- Extensive experience in telecommunications media or technology sectors with a strong understanding of industry trends.
- Strong skills in Python.
- Experience using Generative AI models and frameworks e.g. OpenAI family open source LLMs Dall-e LlamaIndex Langchain Retrieval Augmented Generation (RAG).
- Experience working with popular ML packages such as scikit-learn Pytorch and ONNX or related ML libraries.
- Extensive experience using DevOps tools like GIT Azure Devops and Agile tools such as Jira to develop and deploy analytical solutions with multiple features pipelines and releases.
- Proven ability to design and implement machine learning solutions that enhance network performance and customer support
- ) and their implications for data science.
- Experience analyzing large-scale datasets from telecommunications networks including call detail records and performance metrics.
- Knowledge of streaming technologies including analytics and content recommendation systems.
- Experience with multi-modal models including vision-language models.
- Understanding of customer segmentation churn prediction and recommendation systems tailored to media and telecommunications.
- Knowledge of regulatory and compliance considerations specific to the banking and financial sector.
- Experience with real-time data processing frameworks (e.g. Apache Kafka).
- Familiarity with cloud-based telecommunications solutions (e.g. AWS Azure).
- Experience with network optimization algorithms and techniques.
- Knowledge of emerging technologies such as edge computing and IoT.
- A solid understanding of Machine Learning (ML) workflows including ingesting analysing transforming data and evaluating results to make meaningful predictions.
- Experience with MLOps methods and platforms such as MLFlow.
- Experience with CI/CD and test-driven development.
- Experience designing building and maintaining ML models frameworks and pipelines.
- Experience designing and deploying end to end ML workflows on at least one major cloud computing platform.
- Understanding of data structures data modelling and software engineering best practices.
- Proficiency using data manipulation tools and libraries such as SQL Pandas and Spark.
Ideally youll also have
- A deep understanding of and ability to teach concepts tools features functions and benefits of different approaches to apply them.
- Masters degree Computer Science Mathematics Physical Sciences or other quantitative field.
- Experience working with diverse teams to deliver complex solutions.
- Strong skills in languages beyond Python: R JavaScript Java C C.
- Experience fine-tuning Generative AI models.
This role will work to deliver tech at speed innovate at scale and put humans at the center. Provide technical guidance and share knowledge with team members with diverse skills and backgrounds. Consistently deliver quality client services focusing on more complex judgmental and/or specialized issues surrounding emerging technology. Demonstrate technical capabilities and professional knowledge.
Employment Type
Full Time
