Artificial Intelligence Engineer

Mandatory skills - Data Sciences, Gen AI, Python Coding, and Cloud (AWD/Azure/GCP)

JOB DESCRIPTION:

We are looking for a AI/ML Engineer who will support building AI tools for customers.

The candidate should be skilled at using large data sets to find opportunities for product and process optimization The candidate must have a proven ability to drive business results with their databased insights The candidate must be comfortable working with a wide range of stakeholders and functional teams Responsibilities for Data Scientist: Work with stakeholders to identify opportunities for leveraging data to drive business solutions Assess the effectiveness and accuracy of new data sources and data gathering techniques Develop custom models and algorithms to apply to data sets Coordinate with different functional teams to implement models and monitor outcomes Analyse large amounts of information to discover trends and patterns Build predictive models and machine learning algorithms Present information using data visualization techniques. Develop and Deploy advanced Generative AI large language models Azure OpenAI Machine Learning and Deep Learning Models algorithms to enhance andor automate existing business processes with predictive and intelligent decision making content aggregation and contextualized insights Have experience in developing production level Gen AI solutions by utilizing Azure OpenAI services Familiar with prompt engineering retrieval augmented generation Llama index Vector DB and finetuning of opensource LLMs Qualifications for Data Scientist Looking for someone with 5-8 years of experience manipulating data sets and building statistical models having bachelors or masters degree in Statistics Mathematics Computer Science or another quantitative field and is familiar with the following software tools Experience using statistical computer languages R Python etc to manage data and draw insights from large data sets Knowledge of a variety of machine learning techniques clustering decision tree learning artificial neural networks XGBoost KNN SVM ANN etc Knowledge of advanced statistical techniques and concepts regression properties of distributions statistical tests and proper usage etc and experience with applications Knowledge and experience in statistical and data mining techniques GLM Regression Random Forest Boosting Trees text mining social network analysis etc Experience creating and using advanced machine learning algorithms and statistics regression simulation scenario analysis modeling clustering decision trees neural networks etc Experience visualizing presenting data for stakeholders Experience with Snowflake will be an added advantage.