Research & Development : Deep Learning

This role is for one of Weekday’s clients

Salary range : Rs 2500000 - Rs 3000000 (ie INR 25-30 LPA)

Min Experience : 4 years

Location : Mumbai

JobType : full-time

Requirements

About the Role

We are seeking an innovative and results-driven Deep Learning Engineer to join our Research & Development (R&D) team. This role focuses on advancing our artificial intelligence (AI) and machine learning (ML) capabilities by developing, training, and deploying deep learning models that solve real-world problems and contribute directly to our product offerings. As part of a fast-paced and research-focused team, you'll work on cutting-edge projects that require rigorous experimentation, creativity, and a deep understanding of modern deep learning techniques.

This role is ideal for someone with a strong technical background, deep curiosity, and a desire to push the boundaries of AI and ML applications across industries.

Key Responsibilities

• Deep Learning Model Development :

Design, develop, and optimize deep learning models for a variety of applications, including computer vision, natural language processing (NLP), and time-series forecasting.

Stay up-to-date with the latest academic research and implement novel algorithms that improve performance and efficiency. Conduct experiments to validate hypotheses and measure results.

Train deep neural networks using large-scale datasets. Perform hyperparameter tuning, data augmentation, regularization, and other techniques to improve model accuracy and generalization.

Work closely with data scientists, software engineers, and product teams to translate research into scalable production-ready solutions.

Develop benchmarks and evaluate model performance using various statistical and ML metrics. Continuously improve models based on test feedback and user data.

Collaborate with engineering teams to deploy models in cloud or edge environments, ensuring high performance and low latency in production.

Write technical documentation, prepare research reports, and present findings to stakeholders and at internal knowledge-sharing sessions.

Required Skills and Qualifications

Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field. A PhD is a strong plus.

Minimum of 4 years of hands-on experience in AI / ML, with at least 2 years specifically focused on deep learning projects in a professional or academic environment.

Strong mathematical foundation in linear algebra, probability, and optimization. Ability to analyze, debug, and improve model performance.

Excellent communication and teamwork skills, with the ability to explain complex concepts to non-technical stakeholders.