Junior AI Developer

Candidates typically face a three‑stage process: an online aptitude test lasting 30‑40 minutes, followed by a technical interview that probes coding ability, data‑science fundamentals and a mini‑case study. The final HR round assesses cultural fit, communication skills and motivation. Overall difficulty is moderate; thorough preparation on Python, SQL and basic ML concepts helps greatly.

Dentsu promotes a vibrant, learning‑centric culture where employees are encouraged to experiment with new technologies. The company offers clear career ladders, regular upskilling programs, and a balanced work‑life approach, especially in its Bengaluru hub.

Bachelor's degree in Engineering, Computer Science, Data Science, Gen AI or related fields; minimum 60% aggregate (or CGPA 6.0/10); final year students and recent graduates (2023‑2024) are eligible; no active backlogs at the time of joining; strong academic record in programming, mathematics and statistics.

Round 1: Online Aptitude Test (quantitative, logical reasoning, verbal) → Round 2: Technical Interview (coding, data structures, ML concepts, case study) → Round 3: HR Interview (fit, motivation, cultural alignment)

Dentsu, a global leader in communications, data‑driven marketing and technology, has a strong foothold in India through its Digital Growth Services (DGS) division. The company blends creativity with data science to help brands transform their customer experiences across digital channels. With a culture that encourages experimentation, continuous learning and cross‑functional collaboration, Dentsu has consistently been recognized for its innovative work environment and employee growth opportunities. The Junior AI Developer role is an entry‑level position designed for fresh graduates who are eager to dive into the full data value chain. Reporting to senior data scientists and engineers, the candidate will get hands‑on exposure to data analytics, machine learning model development, and data engineering pipelines. This role offers a unique blend of responsibilities that allow you to experiment with cutting‑edge AI tools while contributing to real business problems for marquee clients. Key responsibilities include: 1. Analyzing large structured and unstructured datasets to uncover actionable insights. 2. Building interactive dashboards and visual reports using Power BI, Tableau, or Excel. 3. Assisting in the design, development, testing, and deployment of machine learning models under supervision. 4. Applying statistical techniques for classification, regression, clustering and hypothesis testing. 5. Supporting the creation and maintenance of ETL pipelines using SQL, Python and cloud services. 6. Performing data cleaning, transformation, and ensuring data quality across pipelines. 7. Documenting data workflows, model performance metrics and experiment results. 8. Collaborating with product, engineering and business teams to translate requirements into data solutions. 9. Keeping abreast of emerging AI trends such as Generative AI and Agentic AI and proposing pilot projects. 10. Participating in code reviews and version‑control practices using Git. The tech stack revolves around Java, React, NodeJS for full‑stack exposure, while core data work leverages Python, pandas, NumPy, PySpark, scikit‑learn, TensorFlow and cloud platforms like AWS/GCP. Familiarity with BI tools (Power BI, Tableau) and version control (Git) is essential. The role provides a clear growth path: Junior AI Developer → Data Engineer / Data Scientist → Senior Analyst / Lead AI Engineer, with mentorship and opportunities to specialize in analytics, GenAI, or data engineering based on personal interest. Why join Dentsu? Apart from a competitive salary and exposure to global client projects, you will work in a collaborative environment that values curiosity, continuous upskilling and innovation. The company’s emphasis on mentorship, agile delivery and cross‑functional teamwork ensures that fresh talent can quickly scale their capabilities and carve a rewarding career in the AI and data domain.