AdTechTalent
Data Science1 month agoOn-site

Merkle

Junior AI Developer

data analyticsmachine learningdata engineeringpythonsqlpower bitableaupandasnumpypysparkscikit-learngenaiagentic aitensorflowawsgcpgitjavareactnodejsexceldata scienceetldashboardsdata pipelines

Key details

Salary

Not specified

Employment type

Full-time

Seniority

Entry

Years experience

0-2

Location

Bengaluru, India

Full job description

Entry-level Analyst/Associate/Software Engineer role for fresh graduates to work across data analytics, data science, and data engineering. Responsibilities include analyzing structured and unstructured data, creating dashboards and reports, supporting machine learning model development, and assisting in building data pipelines and ETL processes. Requires bachelor's degree in relevant fields, strong foundation in Java, React, NodeJS, Python, SQL, Excel, and familiarity with BI tools and cloud platforms. Preferred experience includes internships, academic projects, hackathons, and Agile tools exposure. On-site role based in Bengaluru, India.

What you'll do

  • Analyze large volumes of structured and unstructured data to extract meaningful business insights
  • Create dashboards, visualizations, and reports using tools like Power BI, Tableau, or Excel
  • Support in identifying patterns, trends, and anomalies in data to support business decisions
  • Assist in building, testing, and deploying machine learning models under supervision
  • Work with statistical and ML techniques for classification, regression, clustering, etc.
  • Collaborate on experiments, hypothesis testing, and performance evaluation of models
  • Support in designing and building data pipelines and ETL processes
  • Assist in data cleaning, transformation, and storage using SQL, Python, or cloud platforms
  • Help maintain data integrity, quality, and documentation across data systems

Requirements

  • Bachelor’s degree in Engineering, Computer Science, Data Science, Gen AI or related fields
  • Final-year students or recent graduates are welcome to apply
  • Strong foundation in Java, React, NodeJS, Python, SQL, and Excel
  • Basic understanding of data structures, databases, and algorithms
  • Exposure to pandas, NumPy, PySpark, scikit-learn, GenAI, Agentic AI or TensorFlow is a plus
  • Familiarity with BI tools (e.g., Power BI, Tableau) or cloud platforms (e.g., AWS, GCP) is desirable
  • Knowledge of version control (Git) is an advantage
  • Curiosity and a passion for data-driven problem solving
  • Strong analytical and logical thinking
  • Good communication and collaboration skills
  • Willingness to learn in a fast-paced environment
  • Ability to break down complex problems and document clearly
  • Internship or academic project in data analytics, machine learning, or database systems (preferred)
  • Participation in hackathons, coding contests, or Kaggle competitions (preferred)
  • Exposure to Agile or collaborative tools like JIRA, Confluence (preferred)

Tech stack

JavaReactNodeJSPythonSQLExcelpandasNumPyPySparkscikit-learnGenAIAgentic AITensorFlowPower BITableauAWSGCPGit

Benefits

Hands-on experience across analytics, data science, and engineering tracksOpportunity to work on live projects and scalable systemsMentorship from experienced data professionalsCareer pathways in analytics, data science, GenAI, Agentic AI or data engineering based on interest and skills

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