Machine Learning / LLM Engineer

About Oh:

Oh is pioneeringhyper-realistic, uncensored AI-driven content, building a full-spectrum ecosystem of multimodal AI products. Our platform powerslifelike digital twins and AI charactersacross text, voice, and images.

With a mission to become theOpenAI of the spicy content industry, we iterate fast, push boundaries, and deploycutting-edge, real-time conversational AI experiences at scale.

The Role:

Our platform integrates a variety of multimodal GenAI models. You willown the technical roadmapandfull lifecycleof ourlarge language models, most notably our flagshipLlama 3.1 70Band otheropen-source models.

Your responsibilities will include:

• Fine-tuningwithcustom and synthetic datasets
• Deploying on GPU platformsto ensurelow-latency, cost-efficient, and safereal-time interactions
• Driving multimodal expansion—integratingtext, voice, and image capabilities
• Embedding robust safety and compliance measures
• Keeping on top of recent development in the field and auditing new models for a wide range of purposes (e.g. conversational AI, intent classification, AI agents life planner)

Key Responsibilities:

LLM Fine-Tuning & Optimization

• Fine-tune and optimize models (Llama 3.1 70B, GPT-based, Mistral, etc.) usingdomain-specific and synthetic datasets
• Enhanceaccuracy, reduce hallucinations, and improve alignment with user intent

Deployment & Infrastructure Management

• Deployscalable, memory-efficient modelsonGPU-based platforms(Runpod, AWS, Kubernetes clusters)
• Optimize GPU inference withTorch,CUDA, TensorRT, vLLM, and DeepSpeed

Multimodal & Cross-Model Integration

• Integrateadditional open-source modelsto enableimage prompt generation, voice synthesis, and dynamic character personalization
• Expand multimodal AI capabilities (e.g. improve LLava-based vision models)

Data Pipeline & Evaluation

• Designrobust data pipelinesforcuration, cleaning, synthetic data generation, and versioning(DVC)
• Implementevaluation metrics and continuous monitoringto ensure model quality

Real-Time Performance & System Optimization

• Ensurelow-latency, real-time performanceusingmixed-precision training, quantization, pruning, and distillation techniques

Safety, Moderation & Compliance

• Embedrobust safety, content moderation, and ethical AI frameworksto comply withGDPR and industry standards
• Developcustom token filters and controlled response mechanisms

Monitoring, Diagnostics & Cost Management

• Set up and maintainmonitoring tools(Prometheus, Grafana, TensorBoard, Weights & Biases, Sentry) forperformance tracking and cost optimization

Technical Skills & Requirements:

Experience:

• 5+ yearsinmachine learning engineering, NLP, or AI researchwith deep expertise inTransformer-based LLMs

Programming & Frameworks:

• Strong proficiency inPythonand Bash scripting
• Hands-on experience withPyTorch,HuggingFacelibraries (Transformers, Diffusers, PEFT, Accelerate), and the common ML toolkit (e.g. SKLearn, Pandas, Numpy)
• Familiarity withJAX/TensorFlowis a plus

LLM Specialization:

• Proven expertise infine-tuning LLMsusing techniques likeLoRA, QLoRA, PEFT, RLHF, and prompt engineering

GPU & Inference Optimization:

• Experience with common inference speed optimisation and model quantization techniques.

Deployment & Orchestration:

• Skilled incontainerization (Docker) and orchestration (Kubernetes)for scalable ML deployments
• Experience with major MLOps frameworks (MLFlow / KubeFlow) preferred

Data Handling:

• Proficient indata wrangling and preprocessing(Pandas,Dask)
• Experience managinglarge-scale datasetsusing AWS (S3,RedShift,EC2)
• Knowledge of data QC and monitoring tools (DVC,Great Expectations)

Additional Knowledge:

• Understanding ofretrieval-augmented generation (RAG) techniques
• Familiarity withvector databases(FAISS, Pinecone, Weaviate)

Preferred Qualifications:

✅ Experience integrating and optimizingmultimodal models(text, voice, image, video)

✅ Background inAI-driven gaming, digital experiences, or adult content

✅ Familiarity withCI/CD pipelines(GitLab CI, Jenkins) for ML workflows

✅ Interest or experience incrypto, Web3, or NFT-based AI models

✅ Prior exposure toAI governance, safety, or ethical AI frameworks

What We Offer:

Competitive Compensation:

• Attractivesalary, benefits, and equity participation

Remote & Flexible:

• Remote-first work environmentwithflexible hours

Growth & Leadership:

• Rapidcareer advancementand the opportunity toshape our AI strategy

Innovative Culture:

• Join afast-pacedteam at the forefront ofadvanced, uncensored AI applications

If you’re passionate aboutpushing the boundaries of AI-driven experiencesand have a track record indeveloping, deploying, and optimizing cutting-edge LLMs, we want to hear from you!