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Research & Development : Deep Learning

Research & Development : Deep Learning

Weekday AIMumbai, MH, IN
19 days ago
Job type
  • Quick Apply
Job description

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.

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    Learning Learning • Mumbai, MH, IN