Data Scientist Genai
2 weeks ago
**Key Responsibilities**:
- Develop and implement machine learning models for document detail extraction and data
processing.
- Perform feature engineering to enhance predictive models and data algorithms.
- Implement advanced data augmentation, feature extraction, and data transformation
techniques to optimize the training process.
- Deploy generative Al models into production environments, ensuring they are scalable,
- Use cloud platforms (AWS, GCP, Azure) and containerization tools (e.g., Docker, Kubernetes)
for model deployment and scaling.
- Utilize Python and libraries such as pandas, NumPy, scikit-learn, TensorFlow, and PyTorch for
data analysis, processing, and model development.
- Conduct prompt engineering to optimize Al models' performance and accuracy.
- Implement chain of thought techniques to improve Al decision-making processes. Develop
and deploy Al agents to automate and optimize [industry-specific] processes.
- Collaborate with cross-functional teams to identify and solve complex problems using
generative Al and data science techniques.
- Continuously monitor, evaluate, and refine models to ensure performance and accuracy.
- Conduct in-depth research on the latest advancements in generative Al techniques and
Qualifications:
- 2+ years of experience in machine learning, deep learning, or Al research, with a focus on
generative models.
- Experience with generative models such as GANS (Generative Adversarial Networks), VAES
(Variational Autoencoders), and transformer-based models (e.g., GPT-3/4, BERT, DALL-E).
- Understanding of model fine-tuning, transfer learning, and prompt engineering in the
context of large language models (LLMs).
- Knowledge of reinforcement learning (RL) and other advanced machine learning techniques
applied to generative tasks.
- Strong programming skills in Python and familiarity with relevant libraries and frameworks.
- Proven experience in document detail extraction and feature engineering.
- Proficiency in data processing and manipulation techniques.
- Advanced knowledge in prompt engineering, chain of thought processes, and Al agents.
- Excellent problem-solving skills and the ability to work effectively in a collaborative
environment.
- Strong communication skills to convey complex technical concepts to non-technical
stakeholders.
Pay: Up to ₹2,400,000.00 per year
Schedule:
- Monday to Friday
**Experience**:
- Total Work: 5 years (preferred)
- Python: 5 years (required)
- Data Scientist: 5 years (required)
- NLP: 3 years (required)
- Gen AI: 3 years (required)
Work Location: In person
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