AI/ML Engineer Robotics Technologies

Abundant Code; San Diego (CA); On-site; USD 124,000 - 165,000; Full time

Job summary

Robotics Technologies in San Diego, CA seeks an AI/ML Engineer to design, implement, and deploy advanced AI solutions. You will work with large datasets, develop predictive models, and integrate AI capabilities into enterprise systems to drive business outcomes.

The role requires strong Python programming, hands-on experience with TensorFlow, PyTorch, and Scikit-learn, plus MLops, cloud platforms, and vector databases. Experience with NLP, computer vision, and Generative AI is highly valued.

Qualifications

• 6+ years of AI/ML or related engineering experience.
• 4+ years of Python-based ML model development.
• Strong knowledge of ML algorithms, statistics, and model evaluation.
• Experience deploying production AI/ML solutions.
• Experience with cloud-based ML environments.
• Knowledge of Generative AI, LLMs, and RAG is desirable.
• Excellent communication and cross-functional collaboration.

Responsibilities

• Design, train, and deploy ML models for business apps.
• Analyze datasets to identify trends and insights.
• Build predictive/classification models with appropriate algorithms.
• Data cleaning, preprocessing, feature engineering.
• Develop DL, NLP, and Generative AI solutions per requirements.
• Implement LLM-based apps using prompt engineering and RAG.
• Evaluate model accuracy, performance, scalability, reliability.

Job description

AI/ML Engineer Overview

Company Name: Robotics Technologies

Job Role: AI/ML Engineer

Qualifications: Not specified

Category: I

Job Type: Full Time

Location: San Diego, CA, United States

Job ID: J54609 Job Title: AI/ML Engineer Location: San Diego, CA Duration: 15 Months + Extension Domain Exposure: Insurance Client: To Be Discussed Later Employment Type: W-2, 1099, C2C Work Authorization: US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other Job Title: AI/ML Engineer Location: San Diego, CA Duration: 15 Months + Extension Bill Rate: $95/hr C2C Job Type: W-2, 1099, C2C Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, 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.

Key AI & Machine Learning Responsibilities:

• 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.

  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.

  Equal Opportunity Employer 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.

  Visa Sponsorship May be