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.
