Senior AI / ML Systems Engineer

Who We Are

Artmac Soft is a technology consulting and service-oriented IT company dedicated to providing innovative technology solutions and services to Customers.

Job Description

Job Title : Senior AI / ML Systems Engineer

Job Type : W2 / C2C

Experience : 8-20 Years

Location : San Diego, California

Responsibilities

• Experience in AI system development, foundational model lifecycle training, retrieval of augmented systems, and model evaluation.
• Proficient in large language models (LLMs) architecture, creating targeted instruction datasets, and implementing quantization and inference optimizations.
• Capable of covering problem definition, data acquisition, and full-cycle deployment, utilizing tools like MLflow, and cloud platforms like AWS, Google Cloud, and Azure.
• Experience with proprietary models like GPT-4 and Claude, and open-source models like Llama and Mistral, delivering high-performing, scalable, and cost-efficient AI solutions.
• Proficiency in NLP libraries like NLTK, spaCy, GPT-3, BERT, and Hugging Face's Transformers to create sophisticated natural language processing solutions.
• Expertise in AIML modeling, Python, AIML infrastructure, model deployment, and MLOps.
• Experience working in Supply Chain, Operations, or a related field.
• End-to-end GenAI application experience.
• Knowledge in RAG, Prompt Engineering, LoRA, and other GenAI techniques.
• Ability to operate independently and lead without authority.
• Good communication and interpersonal skills.
  
  

Technical Skills

• Methodologies: Spiral, Agile, Waterfall, Lean
• Programming Languages: C++, Python, Shell, SQL, R
• IDE Tools: PyCharm, RStudio, Visual Studio Code, Jupyter Notebook, Google Collab, Navicat
• ML Frameworks: Transformers, Scikit-Learn, Keras, TensorFlow, PyTorch, ONNX, NLTK, OpenAI, long-chain, llama-index, kore.ai
• DL Architectures: LLM, ANN, CNN, R-CNN, RNN, GRU, LSTM, Transformers, Attention Mechanism, Tokenisers, BERT, T5, Sentence Transformers, Foundational models
• Packages: Pandas, NumPy, Spark, Matplotlib, SciPy
• Cloud Technologies: AWS (EC2, S3, RDS, ECS, Lambda), Azure (VM, Functions, ACR, AKS), Digital Ocean, GCP, Paperspace
• Database: MySQL, PostgreSQL, MongoDB, ChromaDB, Pinecone, SQLite
• Web Frameworks and Web Servers/ Deployment: Fast API, Flask, Nginx, Gunicorn, Uvicorn, Docker, Kubernetes
• Miscellaneous Tools and Technologies: JIRA, Auto Gluon, GitHub Actions, GitHub Issues, Datadog, MS Power BI, Postman, Locust, Streamlight, CUDA, cuDNN, TensorRT
• Version Control: Git, GitHub, DVC (Data Version Control)
• Operating Systems: Windows, Linux, Mac
  
  

Qualifications

• Industry experience of 10+ years with a BS in Computer Science, and 5+ years with an MS/PhD in Computer Science, Statistics, Applied Math, or a related field.