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.

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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

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