AI Data Engineer Job at Magnus Technology Solutions, New York, NY

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  • Magnus Technology Solutions
  • New York, NY

Job Description

Job Title: AI Data Engineer (Fresher / Entry-Level) Location: [Onsite or Remote] Employment Type: Full-time Experience Level: Fresher / 0–1 years Department: Data Engineering / AI & Machine Learning Job Summary: We are seeking a highly motivated and detail-oriented AI Data Engineer (Fresher) to join our growing Data and AI team. You will work on building scalable data pipelines, cleaning and preparing datasets for AI/ML models, and supporting data infrastructure for real-world AI solutions. Key Responsibilities: Design, build, and maintain data pipelines using tools like Python, SQL, Spark, or Airflow Collect, clean, and preprocess structured and unstructured data for machine learning models Collaborate with data scientists and machine learning engineers to understand data needs Ensure data quality and consistency through validation and testing Work with cloud platforms (AWS, GCP, Azure) and data warehouses (Snowflake, BigQuery, Redshift) Automate data workflows and support real-time data streaming where applicable Monitor and optimize data processing systems for performance and scalability Required Skills and Qualifications: Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, or related field Strong knowledge of Python and SQL Understanding of data structures, algorithms, and database systems Basic knowledge of machine learning concepts and AI workflows Familiarity with version control tools like Git Good problem-solving skills and attention to detail Eagerness to learn new tools and technologies in data and AI Preferred (Nice to Have): Exposure to big data tools like Hadoop, Spark, Kafka Internship or academic project experience with data engineering or AI Familiarity with cloud services like AWS Lambda, S3, or GCP Dataflow Knowledge of data modeling and ETL concepts Benefits: Opportunity to work with an experienced data science & engineering team Training and mentorship in AI, ML, and data engineering tools Flexible work hours and hybrid/remote options Competitive salary package for freshers Career growth path in AI and Data Engineering

Job Tags

Full time, Internship, Remote work, Flexible hours,

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