Hi
I hope this message finds you well.
Please share a resume at Hima...@valzosoft.com with Location, Visa and Linkedin !!!
We have a new
requirement and would appreciate your support in sharing suitable candidate profiles
at the earliest. Please find the high-level details below:
JOB DESCRIPTION
Job Title: Python AI Engineer
Client: AMEX
Location: Phoenix, AZ
Looking for a Senior Engineer –
Artificial Intelligence to help design and build impactful,
intelligent, and secure AI solutions for Information Security & Governance
and Control. We are seeking a technically strong AI professional with hands-on experience in Machine Learning, Agentic AI,
Generative AI, and AI system development—someone who can translate
business needs into scalable, production-ready AI applications and contribute
to solutions that drive meaningful outcomes.
Key Responsibilities
- Build
and enhance AI/ML and GenAI-powered
solutions using Python, LLMs, RAG, prompt
engineering, and agentic AI frameworks.
- Translate
business, Information Security, Governance, and Technology Risk
requirements into scalable AI applications.
- Develop,
test, and improve models for NLP, classification, clustering, anomaly
detection, and predictive analytics.
- Support
model lifecycle activities including experimentation, evaluation,
versioning, deployment, monitoring, and documentation.
- Contribute
to cloud-native ML pipelines and AI application deployment using MLOps,
APIs, Docker, Kubernetes, and related tools.
- Collaborate
with Security, Risk, Engineering, Governance, and Data teams to deliver
secure, reliable, and responsible AI solutions.
- Stay
current with emerging trends in Machine Learning, Generative AI, Agentic
AI, MLOps, and responsible AI.
Minimum Qualifications
- Bachelor’s
degree in Computer Science, Engineering, Data Science, AI, or a related
field.
- 9+
years of experience designing and implementing large
scale engineering solutions and AI/ML systems.
- Hands-on
experience developing AI/ML, GenAI, or data-driven applications.
- Strong
Python programming skills and familiarity with frameworks such as PyTorch,
TensorFlow, scikit-learn, or similar tools.
- Working
knowledge of LLMs, NLP, embeddings, RAG, prompt engineering, and AI
application development.
- Experinec
with agentic AI frameworks such as LangChain, AutoGen, CrewAI, or similar
tools.
- Exposure
to APIs, cloud platforms, Docker, Kubernetes, vector databases, and
software engineering best practices.
- Ability
to understand business needs, solve technical problems, and collaborate
effectively across teams.
- Exposure
to MLOps/data tools such as MLflow, Kubeflow, Argo Workflows, Kafka,
Spark, or NiFi.
Hands-on experience or working knowledge of the
following tools, frameworks, and technologies:
- Languages: Python
- Frameworks
& Libraries: Flask, FastAPI, TensorFlow, PyTorch, scikit-learn
- AI
& GenAI: LangChain, Hugging Face, AutoGen
- MLOps
& Orchestration: Kubeflow, Argo Workflows, MLflow, Triton
Inference Server
- Data
Platforms: Kafka, Spark, NiFi, SQL/NoSQL, pgVector, Milvus
- Cloud
& Containers: AWS, Azure, GCP, Kubernetes, Docker
- Observability: Prometheus,
Elasticsearch, Kibana
- CI/CD: Jenkins, GitLab CI, XL
Release
Looking
forward to hearing from you !