Data Scientist

5 days ago

Gurugram Haryana, India Imaging IQ Full time

Job Description - Data Scientist

**Responsibilities**
- Select, build, and optimize classifier engines using deep learning techniques.
- Design solutions for complex problems in medical image analysis, including **object detection and image segmentation**.
- Recommend and implement best practices for statistical modeling.
- Develop and customize algorithms using statistical tools, deep learning frameworks, or bespoke methods to solve business problems.
- Translate requirements into scalable solutions and architectures.
- Participate in sprint planning, code reviews, and other Agile ceremonies to ensure quality deliverables.
- Design and implement **scalable ML architectures** for training, inference, and deployment pipelines.
- Enforce software engineering best practices within the data science team to ensure code readability, modularity, and maintainability.
- Optimize models for production use (e.g., quantization, pruning, latency reduction for real-time inference).
- Drive adoption of versioning strategies for models, datasets, and experiments (MLFlow, DVC, etc.).
- Contribute to the design of **data platforms** supporting large-scale experimentation and production workloads.

**Skills and Qualifications**
- Strong programming and software engineering skills in **Python** (or other data science languages) with a focus on clean, testable, and modular code.
- Hands-on experience with deep learning techniques such as **ANN, CNN, RNN, LSTM, Transformers, VAEs, etc.**:

- Proficiency in **TensorFlow or PyTorch** for building, training, testing, and deploying neural networks.
- Knowledge of data preparation techniques, including augmentation, curation, and synthetic data generation.
- Familiarity with key data science/deep learning libraries**:Keras, Pandas, Scikit-learn, NumPy, SciPy, OpenCV, etc.**:

- Solid foundation in applied statistics: regression, distributions, hypothesis testing, etc.
- Experience working with **FastAPI** for deploying deep learning architectures.
- Strong analytical and problem-solving skills, with adaptability to emerging technologies.

**Good to Have**
- Experience building ML architecture components such as **feature stores, model registries, and inference servers**.
- Solid understanding of **software design patterns, microservices, and cloud-native architectures**.
- Familiarity with **model optimization** (ONNX conversion, TensorRT, model distillation).
- Experience working in **Agile/Scrum environments** with collaborative development practices.
- Exposure to **RESTful API development**.
- Prior experience in **medical image analysis** (a strong plus).

**Education**
- BE/B.Tech in a relevant field (MS/M.Tech is an advantage).

**Experience**
- Minimum of **2-3 years of professional experience** in Data Science/Deep Learning.

Pay: ₹1,000,000.00 - ₹1,400,000.00 per year

Ability to commute/relocate:

- Gurugram, Haryana: Reliably commute or planning to relocate before starting work (preferred)

Application Question(s):
**Experience**:

- FastAPI: 2 years (preferred)
- PyTorch: 2 years (required)
- TensorFlow: 2 years (preferred)
- ONNX: 2 years (preferred)
- Model Optimisation: 2 years (required)
- Software Deployment: 2 years (preferred)

Work Location: In person

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