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Prakash Software Solutions

Compare

3.1

based on 20 Reviews

2 Prakash Software Solutions Technical Lead Jobs

Veeva Technical Lead

Prakash Software Solutions Pvt. Ltd

3.1

based on 20 Reviews

5-10 years

Indore, Ahmedabad, Vadodara

1 vacancy

Veeva Technical Lead

Prakash Software Solutions

posted 1mon ago

Job Role Insights

Fixed timing

Key skills for the job

Data Analysis Python Automation Testing Machine Learning Legal Advisory Information Technology

+ 3 more

Job Description

Strong experience with Veeva Vault and associated configuration tools.

Proficiency in API integrations (REST/SOAP), Python

Experience with AI models, NLP (Natural Language Processing), and machine learning frameworks.

Familiarity with cloud platforms (AWS, Azure) and their AI services is a plus.

Soft Skills:

Excellent communication skills and the ability to collaborate with stakeholders at all levels.

Strong problem-solving skills with the ability to design creative solutions.

Ability to manage multiple projects and priorities in a fast-paced environment.

GenAI Experience

Location : Ahmedabad / Vadodara / Indore / Remote

What you will do:

We are seeking a highly skilled and experienced Senior Veeva Developer with a strong background in GenAI (Generative AI) to join our dynamic team.

As part of our offshore development initiative, you will play a critical role in designing, developing, and implementing innovative Veeva solutions for life sciences, while leveraging AI technologies to enhance our capabilities.

You will work closely with internal teams and clients to deliver high-quality solutions, ensuring compliance with industry standards and contributing to the development of new products that harness AI and automation technologies.

Key Responsibilities:

Veeva Configuration Development : Design, build, and customize Veeva Vault solutions, ensuring alignment with business processes and regulatory requirements.

GenAI Integration : Leverage Generative AI to enhance Veeva processes, such as automating content creation, document classification, and data analysis.

End-to-End Solution Delivery : Work on the entire lifecycle of Veeva projects, including requirement gathering, development, configuration, testing, deployment, and post-go-live support.

Customization Enhancements : Develop and implement custom Veeva solutions to meet unique business needs, including workflows, data models, and integrations with other systems.

Collaboration : Work closely with business analysts, product managers, and clients to translate business requirements into technical solutions.

AI-Driven Enhancements : Identify opportunities to integrate AI-driven solutions into Veeva products, including leveraging NLP, data automation, and predictive analytics.

Quality Assurance Compliance : Ensure that all solutions meet high-quality standards and comply with regulatory requirements (e.g., GxP, FDA, ISO standards).