Artmac
Senior AI / ML Systems Engineer
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San Diego, CA
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Mid-Senior level
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
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.
- 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
- 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.