Job Title

Deeper understanding of modern technologies including Cloud-native, APIs, LLM, AI and MLpreference is with Google Tech

Understand client requirements and translate into ML problem.

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

Must have experience of evaluating and benchmarking LLMs for various business needs.

Must have experience of large scale data (text/image) processing (data cleaning, data preparation, training and deploying) using GCP technologies.

Must have experience of working in Tensorflow/PyTorch, Scikit, Pandas, Numpy.

Experience of working with interdisciplinary teams Data Scientist, Machine Learning Engineers and Business Analyst.

Technically leads proof of concepts to ensure feasibility of architecture solutions

Deep understanding and working experience on advanced analytics, AI algorithms and Machine Learning techniques

Experience in C/C++, CUDA and Python programming (software design skills, including debugging, performance analysis)

Working knowledge of AWS or Azure or GCP cloud ecosystems

Knowledge of the current state of infrastructure automation, continuous integration/deployment, SQL/NoSQL, security, networking, and cloud-based delivery models

Solid knowledge on solutioning with Non-Functional-Requirements

Good to have

Experience in areas of data, AI and automation strategy and solutioning for enterprises

Experience in Data Platform and Enterprise Data Warehouse technologies

Exposure to concept of Data Parallelism and Model parallelism

Good knowledge of Kubernetes, GKE, Containers

Good exposure to Vertex AI / Sagemaker.