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.
• Research & Experimentation:
  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.
• Model Training and Tuning:
  Train deep neural networks using large-scale datasets. Perform hyperparameter tuning, data augmentation, regularization, and other techniques to improve model accuracy and generalization.
• Collaboration with Cross-functional Teams:
  Work closely with data scientists, software engineers, and product teams to translate research into scalable production-ready solutions.
• Performance Evaluation:
  Develop benchmarks and evaluate model performance using various statistical and ML metrics. Continuously improve models based on test feedback and user data.
• Scalable Deployment:
  Collaborate with engineering teams to deploy models in cloud or edge environments, ensuring high performance and low latency in production.
• Documentation and Reporting:
  Write technical documentation, prepare research reports, and present findings to stakeholders and at internal knowledge-sharing sessions.

Required Skills and Qualifications

• Educational Background:
  Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field. A PhD is a strong plus.
• Experience:
  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.
• Technical Skills:
• Proficient in Python and DL frameworks such as TensorFlow, PyTorch, or Keras.
• Strong understanding of neural network architectures such as CNNs, RNNs, Transformers, Autoencoders, and GANs.
• Experience with data processing tools (NumPy, Pandas) and visualization libraries (Matplotlib, Seaborn).
• Familiarity with cloud platforms (AWS, GCP, Azure) and GPU acceleration techniques.
• Understanding of software engineering best practices, version control (Git), and CI/CD pipelines.
• Analytical Thinking:
  Strong mathematical foundation in linear algebra, probability, and optimization. Ability to analyze, debug, and improve model performance.
• Soft Skills:
  Excellent communication and teamwork skills, with the ability to explain complex concepts to non-technical stakeholders.