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Emmes Group
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Senior Data Scientist

Senior Data Scientist

Emmes Group

4 - 9 years

6 - 11 Lacs

bengaluru

Posted:Just now| Platform:

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Skills Required

deep learning automation statistical analysis machine learning programming clinical research model development data mining sql python

Work Mode

Work from Office

Job Type

Full Time

Job Description

We are seeking a talented and motivated Data Scientist to join our team and play a key role in developing innovative AI solutions using the AWS technology stack. You will be responsible for developing, assessing , and fine-tuning various AI and machine learning models and oversee training, testing and deployment of these models. You will work closely with cross-functional teams, including, data engineers, AI engineers, software engineers, DevOps engineers and product managers, to bring AI-powered solutions to life and drive clinical trial acceleration and insights.

Responsibilities

ML Model Development and Deployment:

Leverage state-of-the-art deep learning techniques to build scalable and high-performance solutions that drive innovation and efficiency.
Utilize advanced architectures such as Long Short-Term Memory (LSTM) networks, Large Language Models (LLMs) and transformer-based models (e.g., BERT, GPT, T5) for tasks like text generation, sequence modeling, entity recognition and context-aware recommendations.
Evaluate problem requirements and data features to select and implement the most suitable AI methodologies, including self-learning, reinforcement learning or other advanced techniques.
Ensure chosen approach aligns with business objectives while balancing model accuracy, interpretability and computational efficiency.
Train, fine-tune and evaluate AI/ML models using AWS services such as Amazon SageMaker, Amazon Bedrock and ML Compute to ensure scalability, robustness and cost-effectiveness in cloud-based environments.
Collaborate with engineering teams to integrate and operationalize AI models into production systems, enabling real-time predictions and data-driven decision-making while ensuring reliability, scalability and low-latency performance.

Data Expertise and Infrastructure:

Analyze, process and extract actionable insights from complex datasets stored across AWS services such as Amazon S3, Redshift, RDS and DynamoDB.
Utilize SQL, Python and other relevant programming languages to perform data wrangling, transformation and feature engineering to support AI model development.
Explore and visualize large-scale datasets to identify patterns, trends, correlations and anomalies that can enhance AI model training and decision-making.
Leverage statistical analysis, data mining techniques and domain knowledge to improve data-driven insights.
Collaborate with data engineers and AI engineers to design and optimize scalable data pipelines and infrastructure.

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Senior Data Scientist