AI Engineer

Jan 18, 2024
Hyderabad, Pakistan
... Not specified
... Intermediate
Full time
... Office work

Title –AI Engineer

Location – Hyderabad

We are a global team of creators, storytellers, technologists, experienced originators and so much more. We believe amazing games and experiences start with teams as diverse as the players and communities we serve. At Electronic Arts, the only limit is your imagination.


You will be reporting to the Sr Director Engineering responsible for Data & Insights. Business Partnering:

Main Responsibilities 

• Data mining or extracting usable data from valuable data sources

• Use machine learning tools to select features, improve classifiers, help us to build.

• Carry out preprocessing of structured and unstructured data

• Your experience in process, Cleanse, and validate the integrity of data to be used for analysis

• You will analyse large amounts of information to find patterns and solutions

• You will develop prediction systems and machine learning algorithms

• Model, build, and test AI software to ensure it can take on large swaths of data.

• Use Python, JavaScript, and C++ to create a faster, more capable AI.

• Present results. Propose solutions and strategies to tackle challenges.

• Collaborate with Business and IT teams.

• Stay current on AI knowledge, trends, and regulations.

• Collect, organize, and present progress with team leadership and partners.


• Bachelor’s degree or equivalent combination of training.

• Minimum 7 years in information technology or higher education.

• 5+ years of hands-on experience as a data scientist working on end-to-end machine learning projects.

• 3+ years hands on experience in NLP, LLMs - Falcon, Llama, Langchain, or Palm2

• Hands-on experience with fine-tuning LLMs and working with Vector Databases

• Knowledge of statistical programming languages like R, Python. Familiarity with Scala, Java, or C++.

• Familiarity with AWS or other large cloud providers.

• Good applied statistical knowledge of statistical tests, distributions, regression, and maximum likelihood estimators.

• Knowledge of machine learning methods like k-Nearest Neighbours, Naive Bayes, SVM, Decision Forests.

• Experience writing complex SQL, data extraction, analysis and profiling.

• Experience with Data Visualization Tools like Tableau, Power BI that help to visually encode data.


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