Platform Engineer

Job Title : Platform Engineer

Job Location : Remote in the US

Project Duration : 6-9 months + possible extension

Industry Experience : Not mandatory

Any visa restrictions? : NA - USC / GC

Job Description :

Technical Skills Requirements : Strong AI platform engineering experience, including familiarity with Azure AI Foundry, Azure ML Studio, and AWS Bedrock. The focus is on building services and platforms rather than developing agents or use-case-specific solutions, and candidates should have a robust engineering background beyond prompt engineering. Re-emphasizing importance of AI platform engineering and cloud experience.

Job Duties :

Exercise expertise in ideating and developing AI / ML applications on prediction, recommendation, text analytics, computer vision, bots, and content intelligence.

Apply statistical skills and advanced statistical techniques and concepts.

Demonstrate deep knowledge of ML frameworks such as TensorFlow, PyTorch, Keras, Spacy, and scikit-learn.

Leverage advanced knowledge of Python open-source software stack such as Django or Flask, Django Rest or FastAPI, etc.

Deep knowledge in statistics and Machine Learning models, deep learning models, NLP, Generative Adversarial Networks (GAN), and other generative models.

Experience working with RAG technologies and LLM frameworks, LLM model registries (Hugging Face), LLM APIs, embedding models, and vector databases

Employ technical knowledge and hands-on experience with Azure OpenAI, Google Vertex Gen AI, and AWS LLM foundational models, BERT, Transformers, PaLM, Bard, etc.

Display proficiency in programming languages such as Python and understanding of various Python packages. Experience with TensorFlow, PyTorch, or Keras.

Develop and implement GenAI solutions, collaborating with cross-functional teams, and supporting the successful execution of AI projects for a diverse range of clients.

Assist in the design and implementation of GenAI use cases, projects, and POCs across multiple industries.

Work on RAG models and Agents Frameworks to enhance GenAI solutions by incorporating relevant information retrieval mechanisms and frameworks

Create and maintain data infrastructure to ingest, normalize, and combine datasets for actionable insights.

Work closely with customers to understand their requirements and deliver customized AI solutions.

Interact at appropriate levels to ensure client satisfaction and project success.

Communicate complex technical concepts clearly to non-technical audiences.

Conduct training sessions to enhance overall data science skills within the organization.

Minimum Skills Required : Azure architecture experience, Azure Kubernetes experience, AI platform engineering, ModelOps"