IN_Senior Associate_Commercial Assurance_Regulatory & Business Solutions_TRS_Bangalore

Job Summary:

We are seeking a skilled and innovative GenAI Data Scientist/Python Developer to join our dynamic team. The ideal candidate will have deep expertise in developing, deploying, and optimizing AI models with a strong emphasis on Generative AI. You will work closely with cross-functional teams to create advanced data-driven solutions that address complex business challenges.

Responsibilities:

· Model Development and Deployment:

o Design, develop, and implement Generative AI models (such as GPT, GANs, VAEs) for various applications.

o Optimize and fine-tune AI models for performance, scalability, and accuracy.

o Deploy AI models into production environments using cloud platforms (AWS, GCP, Azure) and MLOps practices.

· Data Science and Analysis:

o Perform data preprocessing, feature engineering, and exploratory data analysis (EDA).

o Develop and validate predictive models using machine learning techniques.

o Utilize statistical methods and algorithms to analyze large datasets and extract meaningful insights.

· Python Development:

o Write clean, efficient, and scalable Python code for AI model development and deployment.

o Build and maintain data pipelines, APIs, and automation scripts.

o Integrate AI models with existing software systems and services.

· Collaboration and Communication:

o Work closely with data engineers, product managers, and stakeholders to understand business needs and translate them into technical requirements.

o Present findings, model performance, and insights to both technical and non-technical audiences.

o Contribute to research and development efforts, staying up-to-date with the latest advancements in AI and data science.

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*Mandatory skill sets

· Technical Skills:

o Proficient in Python, with a strong understanding of libraries such as TensorFlow, PyTorch, scikit-learn, and pandas.

o Experience with Generative AI models (e.g., GPT, GANs) and natural language processing (NLP).

o Strong background in machine learning, deep learning, and statistical modeling.

o Familiarity with cloud computing platforms (AWS, GCP, Azure) and MLOps tools.

o Experience with version control (Git) and CI/CD pipelines.

*Preferred skill sets

· Soft Skills:

o Strong problem-solving skills and attention to detail.

o Ability to work independently as well as collaboratively in a team environment.

o Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.

· Experience in developing AI solutions for specific industries (e.g., Pharma, finance, retail).

· Publications or contributions to AI/ML communities or conferences.

Familiarity with containerization and orchestration tools (Docker, Kubernetes

*Years of experience required

o 3+ years of experience in data science, AI, or machine learning roles.

o Proven track record of deploying AI models in production environments.

o Experience in working with large datasets and big data technologies

*Education Qualification

o Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.