Work Schedule

Other

Environmental Conditions

Office

Job Description

Key Responsibilities:

Architectural Design:

Design and develop scalable, high-performance architecture for Generative AI solutions.Ensure alignment of AI solutions with business goals and technical requirements.

Solution Development:

Own the development and deployment of Generative AI solutions.Collaborate with Gen AI Center of Excellence team to integrate AI solutions into business applications.

Technical Leadership:

Provide technical guidance and mentorship to engineering teams.Stay updated with the latest advancements in Gen AI technology and incorporate them into solutions.

Business Engagement:

Work closely with Business Analyst to understand requirements and tailor Gen AI solutions accordingly.Present technical solutions to partners, ensuring clear communication of benefits and features.

Qualifications:

Bachelor’s or Master’s degree in computer science, Engineering, or a related field.Extensive experience (3+ years) in AI/ML and Data Engineering (5+) with a focus on Generative AI technologies.Proficiency in programming languages such as Python, Java, or C++.Strong understanding of neural networks, deep learning, and natural language processing.Experience with AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, Keras).Knowledge of data architectures for Gen AI including ingestion, storage, and processingData pipeline development tools and methodsKnowledge of large-scale data processing with frameworks like SPARK/KAFKAProven record of designing and deploying large-scale AI solutions.Excellent problem-solving skills and the ability to work in a fast-paced environment.Strong communication and interpersonal skills, with the ability to articulate sophisticated technical concepts to non-technical partners.Experience with cloud platforms (e.g., AWS, Google Cloud, Azure).Familiarity with DevOps practices and tools.

Preferred Skills:

Experience in developing Gen AI, AI/ML solutions for bio-technology companies.