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 Engineer
Job Type : W2 / C2C
Experience : 6-10 Years
Location : San Diego, California
Responsibilities
- 10+ years of industry experience, including 5+ years of experience with AIML modeling, MLOps, and model deployment.
- 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.
- Proprietary Models like GPT-4 and Claude, Open-source Models like Llama and Mistral, are able to deliver high-performing, scalable, and cost-efficient AI solutions.
- NLP libraries like NLTK, spaCy, GPT-3, BERT, and Hugging Face's Transformers create sophisticated natural language processing solutions.
- Expert 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
- Superb communication and interpersonal skills.
Technical Skills
- Methodologies: Spiral, Agile, Waterfall, Lean.
- Programming Language: 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, Stream lit, CUDA, cuDNN, TensorRT
- Version Control: Git, GitHub, DVC (Data Version Control)
- Operating Systems: Windows, Linux, Mac.
Qualifications
- Industry experience 10+ years BSCS, 5+ years MS/PhD in Computer Science, Statistics, Applied Math, or a related field