Summary
We are looking for an experienced Machine Learning Engineer with hands-on experience in LLMOps, deep learning, statistical modeling, and software development. As part of Data& AI team, you will develop analytics solutions based on machine learning & statistical predictive algorithms for our clients. Together we do what matters
Key responsibilities
- Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models.
- Prepare advanced data analyses and support in the presentation of results to business stakeholders
- Work with team members and leads to define Data Science use cases using current and emerging technologies
- Transforming data science prototypes and applying appropriate ML algorithms and tools
- Turning unstructured data into useful information by auto-tagging images and text-to-speech conversions.
- Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.
- Developing ML algorithms to analyze huge volumes of historical data to make predictions.
- Running tests, performing statistical analysis, and interpreting test results.
Additionally, you’ll also be comfortable in working on application development projects for our client who is a reputable business operating within the Alcohol, Tobacco, and Sanitary industry sector.
.
Skills and experiences
- Min 5+ years hands-on experience implementing and deploying ML solutions in Azure
- Experience in data analytics, BI, data warehousing, a data platform development or other relevant hands-on technical experience.
- Experience in MLOps frameworks and tools, Ml Model deployment and maintenance
- Understanding of structured and unstructured data analysis, streaming data, IoT, artificial intelligence, NLP and related topical analytics fields.
- Knowledge of neural networks and transformers
.
