AI/ML Engineer
$150kTemporary
Get Hire Technologies Inc.
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- Career Training Program (CTP)
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- Startups
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- Medical & Pharma
- Consumer Products
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- 33 Irving Pl, Manhattan, New York, United States
- Full-time
- $150000
- - $220000
- Model Development & Training
- Build, train, and fine-tune ML models including LLMs, NLP systems, and speech-to-text models
- Apply modern techniques like LoRA, QLoRA, DPO, RLHF, and adapters
- Design high-quality training datasets through cleaning, annotation, and augmentation
- Run experiments, ablations, and performance evaluations to improve model quality
- Real-Time Model Deployment
- Build low-latency inference pipelines for real-time AI responses
- Optimize performance using streaming, caching, batching, and quantization
- Deploy models using Docker, Kubernetes, and CI/CD pipelines
- Integrate multiple LLM providers with routing, failover, and orchestration systems
- RAG & AI Systems
- Build retrieval-augmented generation (RAG) pipelines using embeddings and vector databases
- Develop semantic search, summarization, classification, and NLP features
- Design prompt systems, tool calling, and multi-turn conversational flows
- Build agentic workflows with function calling and multi-step reasoning
- Evaluation & Monitoring
- Create automated and human evaluation systems for model quality
- Track latency, hallucinations, accuracy, cost, and user satisfaction metrics
- Implement drift detection and regression monitoring
- Optimize token usage and inference costs across models
- Data & Feature Engineering
- Build scalable data pipelines for training and production use
- Design feature extraction systems from user interactions and logs
- Implement data versioning, lineage tracking, and experiment tracking
- Collaborate with analytics and engineering teams on data infrastructure
- Safety & Responsible AI
- Implement guardrails, filters, and safety validation systems
- Evaluate models for bias, fairness, and robustness
- Ensure privacy-first design and secure handling of user data
- Support responsible AI practices across the ML lifecycle
- Equity Ownership — meaningful early-stage equity
- High Impact — your work powers AI used by 1M+ users
- Fast Growth — ship production AI systems at startup speed
- Remote Flexibility — work from anywhere (US-based optional NYC hybrid)
- Strong Mission — build category-defining AI career tools
- Ownership Culture — full-stack responsibility from idea to production
- You’ll own core ML systems powering a real-time AI copilot
- You’ll work directly on cutting-edge LLM and speech AI systems
- You’ll build systems used in live interviews and real-world scenarios
- You’ll move faster than traditional big-tech ML environments
- You’ll help shape the future of AI-powered career tools
- View phone number on workus.org
- ***email_hidden***
- 1272 Poydras ST, STE-#907, New Orleans, LA 70113, USA
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Home » AI/ML Engineer — Job Posting
Home » AI/ML Engineer — Job Posting
AI/ML Engineer — Job Posting
Overview
We are looking for a production-minded
AI/ML Engineer to design, build, train, and deploy the machine learning systems that power our real-time copilot.
This is a full-stack ML role spanning the entire lifecycle — from data pipelines and model training to deployment, optimization, and monitoring in production.
You will work at the intersection of LLMs, speech AI, retrieval systems, and real-time inference , building systems that must be fast, reliable, and scalable for millions of users.
Responsibilities
Key Responsibilities
Qualifications
Required Qualifications
Experience
3+ years in ML engineering or AI system development
Proven experience shipping production AI/ML systems end-to-end
Strong cross-functional collaboration experience
Startup Or Fast-paced Environment Experience Preferred
Technical Skills
Strong Python and ML frameworks (PyTorch, TensorFlow, JAX)
Deep understanding of transformers, deep learning, and optimization
Experience with LLM APIs (OpenAI, Anthropic, open-source models)
Hands-on RAG and vector database experience
Docker, Kubernetes, FastAPI, CI/CD for ML systems
Cloud platforms (AWS, GCP, or Azure)
Organization
LockedIn AI
Industry
AI/ML Engineer
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What We Offer
Why Join Us?
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