Founded in 2021 by Lawrance Amburose, Sekhar Reddy, William Rathinasamy, and Anuj Kumar Sen, Bengaluru-based Diggibyte Technologies focuses on providing data and platform engineering, data science AI, and consulting services to a variety of industries. The founders bring a wealth of experience and expertise in leveraging big data and analytics to drive business innovation and efficiency.
AIM got in touch with Anuj Kumar Sen, the chief technology officer of Diggibyte, to learn more about the company’s AI and data science operations, expansion plans, interview process, and work culture.
The company is currently hiring for five data science positions in Bengaluru with at least two years of experience in the field.
Inside Diggibyte’s Data Science Team
Diggibyte’s data science team has tackled numerous issues across various domains. “We have solved multiple problems using data science across the domain, which include customer insights and personalisation (home appliance),” Sen told AIM.
By collecting and analysing data from multiple channels, the 50-member data science team provided insights into customer purchasing behaviour, preferences, and needs to tailor marketing efforts and customer satisfaction.
When it comes to logistics, the team has addressed the problem of inaccurate demand predictions, an issue that can potentially lead to mismanagement of fleet drivers and resources. By analysing historical sales data, market trends, and seasonal variations, the team claims to have developed accurate demand forecasts.
An improved predictive capability helps clients optimise and plan their fleets and drivers, ensuring resources meet customer demand without impacting delivery efficiency or profitability.
Another notable project is the development of an AI-driven headline generator for Norwegian language articles. Using NLP models, this solution scans article content and claims to generate compelling headlines that capture the story’s essence.
Besides, the company also employs generative AI for multiple clients in construction, media, and retail. “Our team is currently working on a latent diffusion image-to-image in-painting model that can automate the process of lifestyle product photography and commercial photography for sports accessories,” he added.
Tech Stack
The team leverages both Transformer architecture models and GPT models depending on the task requirements. They have developed solutions using the Transformer library for an RAG system. Additionally, they created a chatbot for customer support utilising GPT-3.5 Turbo in Azure ML Studio.
In potential candidates, the company looks for proficiency in Python, SQL, Pandas, NumPy, and machine learning. They should also be adept in using frameworks like Keras or TensorFlow and have experience with Databricks.
In addition to these core competencies, data scientists are encouraged to have competitive programming skills, be fast learners, and stay updated with the latest developments in generative AI, preferably with hands-on experience.
Interview Process
The interview round at the company is followed by a thorough and structured process to assess both technical and interpersonal skills. It begins with two technical assessment rounds where candidates are evaluated on their fundamental data science skills and adaptability to the latest trends in data science and AI.
These are followed by an HR round focusing on the candidate’s interpersonal skills, career goals, collaborative abilities, and employment history.
The company sources its best fit by relying on a multi-channel approach to find the top talent in data science. This includes leveraging its internal careers page (set to be deployed in 20 days), online career portals, and trusted vendors.
Work Culture
Once employed, new hires can expect to work on cutting-edge AI projects. It also provides training to bridge gaps, if any, in both technical and interpersonal skills, supported by the leadership team.
“Since we have a separate team for analytics, engineering, visualisation, and machine learning, we expect candidates to have specialisation in one skill rather than general knowledge in multiple skills,” Sen explained.
Employees can pursue certifications from reputable sources such as Azure and Databricks. The company covers the exam costs. It offers a flexible work-life balance, accommodating four days’ of work-from-office and work-from-home arrangements, along with a supportive leave policy.
The company also has policies in effect to make job options accessible, inclusive and diverse for all. Efforts around healthcare and a positive office atmosphere promote employee well-being.
Diggibyte Technologies was certified as the Best Firm For Data Engineers and was awarded during DES 2024.
