Generative AI Architect (Life Science)

Role - Generative AI Architect

Full-time Employment

Location - Jersey City, NJ

Life Science Domain Experience Required.

Experience Level 15+ Years

Must Have

1. Deeper understanding of modern technologies including Cloud-native, APIs, LLM, AI and
2. ML preference is with Google Tech
3. Understand client requirements and translate into ML problem.
4. Must have experience of working in at least two of the Transformer models like BERT , GPT-2 , Roberta or other LLMs like Llama , Falcon , GPT-3
5. Must have experience of evaluating and benchmarking LLMs for various business needs.
6. Must have experience of large scale data (text /image) processing ( data cleaning , data preparation , training and deploying ) using Google Cloud Platform technologies.
7. Must have experience of working in Tensorflow / PyTorch , Scikit , Pandas , Numpy .
8. Experience of working with inters disciplinary teams Data Scientist , Machine Learning

Engineers and Business Analyst.

1. Technically leads proof of concepts to ensure feasibility of architecture solutions
2. Deep understanding and working experience on advanced analytics, AI algorithms and
3. Machine Learning techniques
4. Experience in C/C++, CUDA and Python programming (software design skills, including debugging, performance analysis)
5. Working knowledge of AWS or Azure or Google Cloud Platform cloud ecosystems
6. Knowledge of the current state of infrastructure automation, continuous integration/deployment, SQL/NoSQL, security, networking, and cloud-based delivery models
7. Solid knowledge on solutioning with Non-Functional-Requirements

Good to have

1. Experience in areas of data, AI and automation strategy and solutioning for enterprises
2. Experience in Data Platform and Enterprise Data Warehouse technologies
3. Exposure to concept of Data Parallelism and Model parallelism
4. Good knowledge of Kubernetes , GKE , Containers
5. Good exposure to Vertex AI / Sagemaker.

"Tekshapers is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law."