AI/ML Engineer

Robotics Technologies LLC; San Diego (CA); On-site; USD 140,000 - 210,000; Full time

Job summary

Robotics Technologies LLC in San Diego is seeking an AI/ML Engineer to develop, implement, and deploy advanced ML solutions. You will work with large datasets, build predictive models, and optimize algorithms for production use.

The candidate will have strong Python skills, experience with ML frameworks, and knowledge of cloud platforms, MLOps, and vector databases. Collaboration with data engineers and software teams is essential.

Qualifications

• 6+ years in AI/ML/Data Science or related roles.
• 4+ years building ML models with Python.
• Strong background in ML algorithms, statistics, and model evaluation.
• Experience deploying production AI/ML solutions.
• Experience with cloud ML environments.
• Knowledge of Generative AI, LLMs, and RAG preferred.
• Excellent analytical and cross‑functional collaboration skills.

Responsibilities

• Design, develop, train and deploy ML models for business applications.
• Analyze structured and unstructured data to extract insights.
• Build predictive and classification models using appropriate algorithms.
• Preprocess data, engineer features, and optimize models.
• Develop deep learning, NLP and Generative AI solutions as needed.
• Implement LLM-based apps with prompt engineering and RAG pipelines.
• Deploy AI/ML models into production and monitor performance.

Skills

Python

Machine learning

Scikit-learn

TensorFlow

PyTorch

Keras

NLP

Computer vision

Pandas

NumPy

SciPy

Matplotlib

Generative AI

LLMs

RAG

Vector databases

MLOps

REST APIs

Docker

Kubernetes

Git

CI/CD

AWS SageMaker

Azure ML

Vertex AI

Education

Bachelor's degree in CS/AI/DS/Math

Master's degree or PhD in AI/ML/DS

AWS/GCP/Azure AI certifications

Tools

Docker

Kubernetes

Git

MLflow

Kubeflow

SageMaker

Vertex AI

FAISS

Pinecone

ChromaDB

Weaviate

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Work Authorization: US Citizen, Green Card, OPT-EAD, H-1B, H4-EAD, Other

Position Overview:

The AI/ML Engineer will be responsible for developing, implementing, and deploying advanced artificial intelligence and machine learning solutions. The ideal candidate will have strong programming skills, expertise in machine learning algorithms, and hands-on experience building scalable AI applications. This role involves working with large datasets, developing predictive models, optimizing algorithms, and integrating AI capabilities into enterprise systems.

AI/ML Technologies & Technical Expertise:

Strong programming experience with Python and machine learning frameworks.

Hands-on experience with Scikit-learn, TensorFlow, PyTorch, and Keras.

Knowledge of supervised, unsupervised, and reinforcement learning algorithms.

Experience with deep learning, neural networks, NLP, and computer vision.

Proficiency in Pandas, NumPy, SciPy, Matplotlib, and data visualization tools.

Experience with Generative AI, Large Language Models (LLMs), prompt engineering, and RAG.

Knowledge of vector databases such as Pinecone, FAISS, ChromaDB, or Weaviate.

Experience with data preprocessing, feature selection, feature engineering, and model optimization.

Familiarity with MLOps tools such as MLflow, Kubeflow, and model monitoring platforms.

Experience building and deploying REST APIs and microservices for AI/ML applications.

Understanding of cloud-based AI/ML platforms such as AWS SageMaker, Azure Machine Learning, and Google Vertex AI.

Knowledge of Docker, Kubernetes, Git, and CI/CD pipelines.

Design, develop, train, test, and deploy machine learning models for business applications.

Analyze structured and unstructured datasets to identify trends and generate actionable insights.

Build predictive and classification models using appropriate machine learning algorithms.

Perform data cleaning, preprocessing, transformation, and feature engineering.

Develop deep learning, NLP, and Generative AI solutions based on business requirements.

Implement LLM-based applications using prompt engineering, RAG pipelines, and vector search.

Evaluate model accuracy, performance, scalability, and reliability.

Optimize algorithms and models to improve prediction quality and processing efficiency.

Deploy and integrate AI/ML models into production environments.

Implement model versioning, monitoring, retraining, and continuous improvement processes.

Collaborate with data engineers, software developers, data scientists, and business stakeholders.

Maintain technical documentation and follow responsible AI, security, and data privacy practices.

Experience & Professional Competencies:

6+ years of experience in Artificial Intelligence, Machine Learning, Data Science, or related engineering roles.

4+ years of hands‑on experience developing machine learning models using Python.

Strong experience with machine learning algorithms, statistical modeling, and model evaluation techniques.

Practical experience deploying and maintaining production‑ready AI/ML solutions.

Experience working with cloud-based machine learning environments.

Knowledge of Generative AI, LLMs, and RAG-based application development is highly desirable.

Strong analytical, mathematical, and problem‑solving abilities.

Excellent communication skills and ability to work in cross‑functional engineering teams.

Academic Qualifications & Preferred Certifications:

Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, Statistics, or a related field.

Master's degree or PhD in Artificial Intelligence, Machine Learning, or Data Science is preferred.

Relevant certifications such as AWS Certified Machine Learning Engineer, Microsoft Azure AI Engineer Associate, or Google Professional Machine Learning Engineer are an advantage.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.