Artificial Intelligence Engineer

About Client:

Our Client is a global IT services company headquartered in Southborough, Massachusetts, USA. Founded in 1996, with a revenue of $1.8B, with 35,000+ associates worldwide, specializes in digital engineering, and IT services company helping clients modernize their technology infrastructure, adopt cloud and AI solutions, and accelerate innovation. It partners with major firms in banking, healthcare, telecom, and media.

Our Client is known for combining deep industry expertise with agile development practices, enabling scalable and cost-effective digital transformation. The company operates in over 50 locations across more than 25 countries, has delivery centers in Asia, Europe, and North America and is backed by Baring Private Equity Asia.

Job Title:AI/ML developer

Key Skills: Artificial Intelligence, Machine Learning, Data Science, Python, Statistics, Pandas, NumPy, and Scikit-learn, Data Querying

Job Locations:

Experience: 8 - 12

Budget:

Education Qualification: Any Graduation

Assist in data preparation, cleaning, and transformation for model development.

Support senior engineers in designing and testing computational models for anomaly detection.

Perform basic statistical analyses such as standard deviation, variance, and trend analysis to identify anomalies.

Work with large transaction datasets to identify patterns and irregularities.

Assist in model evaluation, fine-tuning, and validation under the guidance of senior engineers.

Collaborate with cross-functional teams to integrate models into production systems.

Document findings, workflows, and results for team reference and knowledge sharing.

Required Skills & Qualifications

Bachelors degree in Computer Science, Data Science, Statistics, Mathematics, or related field.

13 years of experience in data science, AI/ML engineering, or related areas.

Basic proficiency in Python with exposure to data analysis libraries such as Pandas, NumPy, and Scikit-learn.

Understanding of statistical concepts like mean, median, standard deviation, and correlation.

Familiarity with machine learning fundamentals (classification, clustering, time-series basics).

Knowledge of SQL for data extraction and basic querying.

Strong problem-solving and analytical skills, with attention to detail.

praneeth.n@people-prime.com