Gen AI Developer-6

Realign Llc; Dallas (TX); On-site; USD 110,000 - 180,000; Full time

Job summary

Realign Llc in Dallas, TX seeks an experienced ML engineer to design, train, and deploy generative AI models. You will build data pipelines, fine-tune LLMs, and collaborate with product teams.

Ideal candidates are proficient with PyTorch/TensorFlow, HuggingFace, and cloud workflows; experience with RAG and vector databases is a plus. On-site role with strong compensation.

Qualifications

• Experience in machine learning, data science, or related fields.
• Hands-on experience with generative models and LLMs.
• Experience with ML frameworks (TensorFlow, PyTorch, JAX).
• Familiarity with cloud environments (AWS/Azure/GCP).
• Strong programming skills in Python (preferred).
• Proficiency with libraries like Hugging Face, LangChain, or NVIDIA BioNeMo.
• Knowledge of Docker, Kubernetes, and CI/CD for deployment.
• Understanding of NLP, CV, or multimodal AI techniques.
• Experience with RAG techniques and vector databases (e.g., Pinecone, Weaviate, Milvus).

Responsibilities

• Design, fine-tune, and deploy generative AI models for various applications.
• Train and optimize large language models (LLMs) for NLP tasks.
• Develop and maintain robust data pipelines for model training and inference.
• Clean, preprocess, and manage large-scale datasets to support AI projects.
• Collaborate with product managers, data engineers, and software developers to align AI solutions with business objectives.
• Monitor deployed models for performance and accuracy; implement retraining and versioning strategies.

Skills

Python

Generative AI

RAG

NLP/Multimodal AI

Problem solving

Tools

TensorFlow

PyTorch

JAX

Hugging Face

LangChain

NVIDIA BioNeMo

Docker

Kubernetes

CI/CD pipelines

Vector databases

Job description

Full Time

Job Description

Must Have Technical/Functional Skills

Experience

• Experience in machine learning, data science, or related fields.
• Hands-on experience with generative models (e.g., GANs, VAEs, diffusion models) and LLMs.
• Experience with ML frameworks (e.g., TensorFlow, PyTorch, JAX).
• Familiarity with cloud environments (AWS Sagemaker, Azure ML, or GCP AI Platform).
• Strong programming skills in Python (preferred) or similar languages.
• Proficiency in using libraries like Hugging Face, LangChain, or NVIDIA BioNeMo.
• Knowledge of Docker, Kubernetes, and CI/CD pipelines for deployment.
• Understanding of NLP, computer vision, or multimodal AI techniques.
• Strong problem-solving skills and a passion for AI-driven innovation.
• Experience with Retrieval-Augmented Generation (RAG) techniques and vector databases (e.g., Pinecone, Weaviate, Milvus).

Responsibilities

Model Development and Deployment

• Design, fine-tune, and deploy generative AI models (e.g., Llama, GPT, Stable Diffusion) for various applications.
• Train and optimize large language models (LLMs) for tasks such as natural language understanding, summarization, and conversational AI.
• Develop and maintain robust data pipelines for model training and inference.
• Clean, preprocess, and manage large-scale datasets to support AI projects.

3. Integration and Scalability

• Implement ML models in production environments using tools like TensorFlow, PyTorch, or Hugging Face.
• Optimize models for performance, scalability, and cost-efficiency on cloud platforms (AWS, Azure, GCP).

4. Collaboration and Innovation

• Work with product managers, data engineers, and software developers to align AI solutions with business objectives.
• Stay updated with the latest research and advancements in Gen AI and ML.

5. System Monitoring and Maintenance

• Monitor deployed models for performance and accuracy; implement retraining and versioning strategies.
• Ensure systems meet ethical, privacy, and compliance standards