What are the responsibilities and job description for the AI/ML Engineer position at Fusion Global Solutions?
Job Details
Design and implement scalable MLOps supportive data pipelines for data
ingestion, processing, and storage.
Experience deploying models with MLOps tools such as Vertex Pipelines,
Kubeflow, or similar platforms.
Experience implementing and supporting end-to-end Machine Learning workflows
and patterns.
Expert level programming skills in Python and experience with Data Science and
ML packages and frameworks.
Proficiency with containerization technologies (Docker, Kubernetes) and CI/CD
practices.
Experience working with large-scale machine learning frameworks such as
TensorFlow, Caffe2, PyTorch, Spark ML, or related frameworks.
Experience and knowledge in the most recent advancements in Gen AI, including
Gemini, OpenAI, Claud and exposure to open-source Large Language Models (LLMs).
Experience building AI/ML products using technologies such as LLMs, neural
networks and others.
Experience with RAG and Supervised Tuning techniques.
Strong distributed systems skills and knowledge.
Development experience of at least one public cloud provider, Preferably Google Cloud Platform.
Excellent analytical, written, and verbal communication skills.
Tech Stack - Python, SQL, Docker & Kubernetes, Fast API, Flask, MLOps, Machine
Learning, LLM s, LangChain or similar orchestrator, Vector DB, or similar, Google Cloud Platform,
Google AutoML, Vertex AI & Build tools
