Data Scientist - Artificial Intelligence

Role overview

Responsibilities

• check_circle Design, develop, and deploy Machine Learning and Artificial Intelligence models to address complex business challenges.
• check_circle Analyze large volumes of structured and unstructured data to identify trends, patterns, and actionable insights.
• check_circle Build predictive, classification, clustering, recommendation, and forecasting models.
• check_circle Develop and optimize Deep Learning models using modern AI frameworks.
• check_circle Design and implement Generative AI solutions using Large Language Models (LLMs).
• check_circle Build Retrieval-Augmented Generation (RAG) pipelines and apply Prompt Engineering techniques.
• check_circle Perform data collection, cleansing, preprocessing, feature engineering, and exploratory data analysis (EDA).
• check_circle Collaborate with Data Engineers and Software Engineers to build scalable AI applications and data pipelines.
• check_circle Deploy, monitor, and maintain machine learning models using MLOps best practices.
• check_circle Evaluate and improve model performance using appropriate statistical and machine learning metrics.
• check_circle Work closely with business stakeholders to translate business requirements into AI-driven solutions.
• check_circle Develop technical documentation, model documentation, and solution architecture artifacts.
• check_circle Ensure AI solutions comply with data governance, security, privacy, and Responsible AI principles.
• check_circle Stay current with emerging AI technologies, frameworks, and industry best practices.

Basic qualifications

• + Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Statistics, Mathematics, Engineering, or a related field.
• Min 7 years of hands-on experience in Data Science, Machine Learning, or Artificial Intelligence.
• Strong experience developing and deploying AI/ML models in enterprise environments.
• Excellent analytical, problem-solving, and communication skills.
• Experience working in Agile development environments.

Preferred qualifications

• + Experience developing enterprise AI solutions using IBM watsonx platform.
• Experience building AI-powered applications using LLMs and RAG architectures.
• Knowledge of Natural Language Processing (NLP) and Computer Vision.
• Experience with Explainable AI (XAI) and Responsible AI principles.
• Familiarity with Data Governance and AI Governance frameworks.
• Experience integrating AI models with REST APIs and microservices.
• Understanding of distributed computing and Big Data technologies.
• Experience working in Agile/Scrum teams.

Benefits

• check_circle Private Health Insurance.
• check_circle Training & Development.
• check_circle Opportunities for professional growth and development in a cutting-edge field.
• check_circle A collaborative and inclusive work environment.
• check_circle The chance to work on impactful projects with a team of passionate experts.