Senior Data Scientist | AWS ML Engineer (Oil & Gas)

Robotics Technologies LLC; California; On-site; USD 140,000 - 230,000; Full time

Job summary

Robotics Technologies LLC in California is seeking a Senior Data Scientist / ML Engineer with strong AWS experience to build, fine-tune, and deploy large-scale NLP and ML solutions. You will turn vast data into trainable materials, design features, and optimize distributed training on SageMaker with LoRA/QLoRA approaches.

You will own end-to-end model development from data curation and privacy safeguards to low-latency inference and production monitoring.

Qualifications

• Experience with large-scale data processing on Spark/PySpark and Hadoop ecosystem.
• Hands-on expertise with AWS SageMaker for processing, training, distributed training, and deployment.
• Proficiency in fine-tuning LLMs (LoRA/QLoRA) and reinforcement learning methods.
• Strong deep learning foundations in PyTorch, including training dynamics and multi-task setups.
• Experience with large-scale batch LLM inference and production inference.
• Knowledge of data privacy and security on AWS (IAM, KMS, Lake Formation).
• Excellent written communication with customers and science stakeholders.

Responsibilities

• Convert data to training sets, turning unstructured and structured data into narratives and synthetic data at scale.
• Design features and context to express information like market-relative price and trip context.
• Oversee large-scale distributed training on SageMaker AI (HyperPod).
• Perform fine-tuning using LoRA/QLoRA and supervised/RL training for ranking and reasoning.
• Develop deep learning models and ranking heads in PyTorch; explore co-training and multi-task setups.
• Ensure low-latency, cost-efficient inference and deployment with quantization and distillation.
• Conduct evaluation and error analysis with clear findings for customers and AWS team.
• Maintain data privacy, removing personal data where required.

Skills

Spark / PySpark

Hadoop ecosystem

SageMaker AI

LLM fine-tuning LoRA/QLoRA

PyTorch deep learning

LLM inference

Data privacy on AWS

Communication with stakeholders

Tools

Hive/HDFS

IAM

KMS

Lake Formation

Amazon Bedrock

vLLM

Job description

Robotics Technologies LLC in California is seeking a Senior Data Scientist / ML Engineer with strong AWS experience to build, fine-tune, and deploy large-scale NLP and ML solutions. You will turn vast data into trainable materials, design features, and optimize distributed training on SageMaker with LoRA/QLoRA approaches.

You will own end-to-end model development from data curation and privacy safeguards to low-latency inference and production monitoring.