▷ Immediate Start Software Engineer

Job Category Enterprise Technology Degree Level Bachelor s Degree or equivalent Experience in SonarQube CICD Tekton terraform GCS GCP Looker Google cloud build cloud run Vertex AI Airflow TensorFlow etc Experience in Train Build and Deploy ML DL Models Experience in HuggingFace Chainlit React Ability to understand technical functional non-functional security aspects of business requirements and delivering them end-to-end Ability to adapt quickly with opensource products tools to integrate with ML Platforms Building and deploying Models Scikit learn DataRobots TensorFlow PyTorch etc Developing and deploying On-Prem Cloud environments Kubernetes Tekton OpenShift Terraform Vertex AI Experience in LLM models like PaLM GPT4 Mistral open-source models Work through the complete lifecycle of Gen AI model development from training and testing to deployment and performance monitoring Developing and maintaining AI pipelines with multimodalities like text image audio etc Have implemented in real-world Chat bots or conversational agents at scale handling different data sources Experience in developing Image generation translation tools using any of the latent diffusion models like stable diffusion Instruct pix2pix Expertise in handling large scale structured and unstructured data Efficiently handled large-scale generative AI datasets and outputs Familiarity in the use of Docker tools pipenv conda poetry env Comfort level in following Python project management best practices use of cxzsetup py logging pytests relative module imports sphinx docs etc Familiarity in use of Github clone fetch pull push raising issues and PR etc High familiarity in the use of DL theory practices in NLP applications Comfort level to code in Huggingface LangChain Chainlit Tensorflow and or Pytorch Scikit-learn Numpy and Pandas Comfort level to use two more of open source NLP modules like SpaCy TorchText fastai text farm-haystack and others Knowledge in fundamental text data processing like use of regex token word analysis spelling correction noise reduction in text segmenting noisy unfamiliar sentences phrases at right places deriving insights from clustering etc Have implemented in real-world BERT or other transformer fine-tuned models Seq classification NER or QA from data preparation model creation and inference till deployment Use of GCP services like BigQuery Cloud function Cloud run Cloud Build VertexAI Good working knowledge on other open source packages to benchmark and derive summary Experience in using GPU CPU of cloud and on-prem infrastructures Skillset to leverage cloud platform for Data Engineering Big Data and ML needs Use of Dockers experience in experimental docker features docker-compose etc Familiarity with orchestration tools such as airflow Kubeflow Experience in CI CD infrastructure as code tools like terraform etc Kubernetes or any other containerization tool with experience in Helm Argoworkflow etc Ability to develop APIs with compliance ethical secure and safe AI tools Good UI skills to visualize and build better applications using Gradio Dash Streamlit React Django etc Deeper understanding of javascript css angular html etc is a plus Responsibilities Design NLP LLM GenAI applications products by following robust coding practices Explore SoTA models techniques so that they can be applied for automotive industry usecases Conduct ML experiments to train infer models if need be build models that abide by memory latency restrictions Deploy REST APIs or a minimalistic UI for NLP applications using Docker and Kubernetes tools Showcase NLP LLM GenAI applications in the best way possible to users through web frameworks Dash Plotly Streamlit etc Converge multibots into super apps using LLMs with multimodalities Develop agentic workflow using Autogen Agentbuilder langgraph Build modular AI ML products that could be consumed at scale Qualifications Education Bachelor s or Master s Degree in Computer Science Engineering Maths or Science Performed any modern NLP LLM courses open competitions is also welcomed