Software AI/Machine Learning Engineer
Company: GCR Professional Services
Location: San Diego
Posted on: July 2, 2025
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Job Description:
Software AI/Machine Learning Engineer Contract/FLEX 40 hours
weekly 6-12 months Onsite As a Machine Learning Engineer on our
core Software AI team, you will be at the forefront of designing
and developing cutting-edge GenAI applications. You will be working
closely with business stakeholders and data engineers to
communicate AI recommendations to senior management. Role and
responsibilities Engage deeply with business teams to identify
opportunities and translate the needs into innovative and practical
AIML solutions. Design, build, and deploy state of the art AIML
models to solve complex business problems. Understand key
performance levers and metrics to highlight AIML solution
operational issues and drive improvement. Foster close
collaboration with engineers and infrastructure partners to
implement robust and scalable solutions. Communicate the results
and insights effectively to partners and senior leaders, providing
clear and actionable recommendations. Stay updated with the latest
trends, technologies, and best practices in AI and GenAI and data
engineering. Regularly research and present new ideas to improve
the team's technical capabilities. Education and experience
Industry experience 10 years BSCS, 5 years MS/PhD in Computer
Science, Statistics, Applied Math, or a related field. 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. Skills Experience in AI
System Development foundational model Lifecycle training,
retrievalof Augmented Systems, and Model Evaluation. Proficient in
Large Language Models (LLMs)Architecture, creating targeted
Instruction Datasets, and implementing Quantization and Inference
Optimizations. Capableof covering Problem Definition,Data
Acquisition, and Full-cycle Deployment, utilizing tools like
MLflow, Cloud Platforms like AWS, Google Cloud, Azure. Proprietary
ModelslikeGPT-4 and Claude, Open-source Models like Llama and
Mistral, able to deliver high-performing, scalable, and
cost-efficient AI solutions. NLP libraries like NLTK, spaCy, GPT-3,
BERT, and Hugging Face's Transformers to create sophisticated
natural language processing solutions. 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, langchain, 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. MiscellaneousTools 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
Keywords: GCR Professional Services, Rialto , Software AI/Machine Learning Engineer, IT / Software / Systems , San Diego, California