Data Scientist

2 days ago

Chennai Tamil Nadu, India Sara Technologies Pvt Ltd Full time

**About the Role**:
**Key Responsibilities**:

- Design and develop ML, NLP, and GenAI models to solve complex business problems.
- Build, train, and optimize AI models using Python and relevant ML frameworks.
- Implement Azure AI/ML services for scalable deployment of models.
- Develop and integrate APIs for real-time model inference and decision-making.
- Work with large-scale data to extract insights and drive strategic initiatives.
- Implement CI/CD pipelines to automate model training, deployment, and monitoring.
- Ensure adherence to software engineering best practices and Agile methodologies in AI/ML projects.
- Stay updated on cutting-edge AI/ML advancements and continuously enhance models and algorithms.
- Conduct research on emerging AI/ML trends and contribute to the development of innovative solutions.
- Provide technical mentorship and guidance to junior data scientists.
- Optimize model performance and scalability in a production environment.

**Required Skills & Qualifications**:

- Proficiency in Python and ML frameworks like TensorFlow, PyTorch, or Scikit-learn.
- Hands-on experience in NLP techniques, including transformers, embeddings, and text processing.
- Expertise in Generative AI models (GPT, BERT, LLMs, etc.).
- Strong knowledge of Azure AI/ML services, including Azure Machine Learning, Azure Cognitive Services, and Azure Databricks.
- Experience in developing APIs for model deployment and integration.
- Familiarity with CI/CD pipelines for AI/ML models.
- Strong understanding of software engineering principles and best practices.
- Experience working in an Agile development environment.
- Excellent problem-solving skills and ability to work in a fast-paced, dynamic environment.
- Strong background in statistical analysis, data mining, and data visualization.

Preferred Qualifications:

- Experience in MLOps and automation of model lifecycle management.
- Knowledge of vector databases and retrieval-augmented generation (RAG) techniques.
- Exposure to big data processing frameworks (Spark, Hadoop).
- Strong ability to communicate complex ideas to technical and non-technical stakeholders.
- Experience with Graph Neural Networks (GNNs) and recommendation systems.
- Familiarity with AutoML frameworks and hyperparameter tuning strategies.

Work Location: In person

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