Junior AI Developer

DGS typically conducts a three‑stage interview process: an online aptitude and coding test followed by a technical interview focusing on data analytics, machine learning concepts, and programming fundamentals, and finally an HR round assessing cultural fit and communication. The difficulty is moderate; practice on aptitude platforms and refresh core ML algorithms to succeed.

Round 1: Online Aptitude & Coding Test → Round 2: Technical Interview (Data Analytics & ML concepts) → Round 3: HR Interview (fitment, communication, motivation)

DGS promotes a collaborative and innovative work culture where employees are encouraged to experiment with new technologies. The company offers structured learning programs, regular hackathons, and a balanced work‑life approach, making it an attractive place for fresh talent to grow.

Bachelor’s degree in Engineering, Computer Science, Data Science, GenAI or related fields; Minimum 60% aggregate (or CGPA 6.0/10); Final year students or graduates of the 2025 batch; No active backlogs; Strong foundation in programming and data structures.

Dentsu Aegis Network (DGS) is a global communications and media agency that partners with leading brands to create data‑driven marketing solutions. In India, DGS operates across multiple verticals, blending creativity with technology to deliver measurable business impact. The company invests heavily in emerging technologies such as GenAI, analytics platforms, and automation, fostering an environment where fresh talent can experiment, learn, and grow alongside seasoned professionals. With offices in Bengaluru, Mumbai, Delhi and other major cities, DGS offers a collaborative culture that values curiosity, continuous learning, and cross‑functional teamwork. The Junior AI Developer role is an entry‑level position designed for recent engineering or computer science graduates who are eager to dive into the full data value chain. As a Junior AI Developer, you will work under the guidance of senior data scientists and engineers, contributing to real‑world projects that span data ingestion, exploratory analysis, model building, and deployment. You will get exposure to both the analytical and engineering sides of data work, allowing you to discover where your passion lies—whether it’s building predictive models, creating interactive dashboards, or architecting robust data pipelines. Key Responsibilities: 1. Analyze large structured and unstructured datasets to uncover actionable insights. 2. Build and maintain interactive dashboards and visual reports using Power BI, Tableau, or Excel. 3. Assist senior data scientists in developing, testing, and deploying machine‑learning models. 4. Perform data cleaning, transformation, and feature engineering using Python, SQL, or PySpark. 5. Support the design and implementation of ETL pipelines for reliable data flow. 6. Document data workflows, model assumptions, and performance metrics clearly. 7. Participate in hypothesis‑driven experiments and A/B testing to validate model impact. 8. Collaborate with product, engineering, and business teams to translate requirements into data solutions. 9. Maintain version control of code and notebooks using Git. 10. Stay updated with emerging AI tools such as GenAI and Agentic AI, and propose pilot projects. Tech Stack: Java, React, NodeJS, Python, SQL, pandas, NumPy, PySpark, scikit‑learn, TensorFlow (optional), Power BI/Tableau, AWS/GCP, Git. Growth Path: Starting as a Junior AI Developer, you can progress to Analyst, Associate, Data Engineer, Data Scientist, or AI Specialist based on performance and interests. The role offers mentorship, exposure to live projects, and the chance to move into specialized tracks like GenAI, Agentic AI, or full‑stack data engineering. Why Join DGS? DGS provides a vibrant ecosystem where technology meets creativity. Freshers receive hands‑on experience on production‑grade systems, mentorship from industry veterans, and a clear career ladder. The company’s emphasis on continuous learning, hackathons, and internal knowledge‑sharing platforms ensures you stay ahead of the curve in the fast‑evolving AI landscape.