Machine Learning Specialist- W2 Role

1 month ago


Jersey City, United States Stash Talent Services Full time

Position: Software Engineer focused in AI and Machine Learning

Location: Jersey City, NJ (Hybrid 3 days in office and 2 days remote)

Duration: 12+ months


Looking for a Software Engineer focused in AI and Machine Learning

Must haves:

- Strong AI and Machine Learning Experience

-Object Oriented Python experience (must have strong Python)

-7+ years of experience

-Experience in large enterprise financial environment


Responsibilities:

  • Collaborate with team and with partners in QSDG and Platform to define, build, test, and deploy platform meeting requirements
  • Define & enforce standards & best practices related to platform management
  • Evaluate third-party products to meet scalability, resiliency, and performance
  • Build new or leverage existing platforms (Lab, SDLC) by automating setup, installation, verification, monitoring & provisioning processes
  • Maintain a central, version controlled, inventory of all environments, including their current versions and configuration settings
  • Plan & allocate environments to teams depending on their delivery lifecycle
  • Analyze data to identify and proactively address environment-related issues
  • Work with project teams to manage costs & improve efficiency of environments
  • Partner closely with Prod Support and Engineering to deploy & support applications


Requirements:

  • 7-10 years in similar roles, preferably in the financial industry
  • Higher education in IT field or relevant previous work experience
  • Prior experience designing, implementing, and maintaining end to end environments, from POC to production
  • Deep understanding of hardware, software, network, data & application configuration
  • DevOps processes and CICD tooling (Jira, Git/Bitbucket, Jenkins, Datival, Artifactory, Ansible), orchestration & automation
  • Multi-tier (Python based) web application stack microservices/serverless/loosely coupled architecture
  • Mix of on-premises and cloud based, containerized (Docker/Kubernetes/OpenShift) deployment models
  • Familiarity with no-SQL (MongoDB) and relational (SQL Server/Oracle) databases, and other various forms of Object, Vector, and file stores
  • Unix scripting, SQL, work scheduling tools
  • Setting up infrastructure monitoring & reporting for GPU/CPU & memory consumption, inference latency and model performance
  • Performance profiling & optimization techniques to maximize performance & resource consumption / throughput and minimize latency
  • Load balancing, high availability & backup recovery strategies/techniques
  • Ability to communicate effectively to a wide range of audience (business stakeholders, developer & support teams)
  • Meticulous & highly organized
  • Adaptable to shifting & competing priorities
  • Skilled at delegating, mentoring & setting expectations
  • Critical thinking skills to diagnose & resolve complex issues


Desired skills:

  • Familiarity with AI & Deep learning, modeling techniques, Generative AI application stack
  • Proficiency in Python and familiarity with AI frameworks (TensorFlow/PyTorch)
  • GPU cluster management (CUDA/Kubernetes), auto-scaling & scheduling (Triton Inference Server)


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