Machine Learning Specialist- W2 Role
1 month ago
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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