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AI / Machine Learning Engineer Job Opening In Santa Clara California – Now Hiring Caltek Staffing


Job description

Overview

Our client, an industry leader in AI-driven software solutions, is seeking an experienced AI / Machine Learning Engineer to design, build, and deploy intelligent systems that power predictive analytics, natural language understanding, and generative AI applications.



This role combines deep technical expertise in ML modeling and production deployment with a practical understanding of how to translate data into business impact.

The ideal candidate will work cross-functionally with data engineers, software developers, and product teams to integrate models into scalable, high-performance applications.




Responsibilities



  • Design, develop, and deploy machine learning models for classification, prediction, recommendation, and generative use cases.




  • Build and maintain data pipelines for training and inference using tools such as TensorFlow, PyTorch, or scikit-learn.




  • Fine-tune and optimize large language models (LLMs) or foundation models for domain-specific applications.




  • Collaborate with product and software engineering teams to integrate models into production environments (APIs, microservices, etc.).




  • Implement MLOps practices — version control, automated retraining, and continuous deployment for ML workflows.




  • Monitor model performance, bias, and drift; propose retraining or architecture improvements.




  • Stay up to date with emerging AI research and apply new methods to real-world business challenges.






Qualifications



  • Bachelor's or Master's degree in Computer Science, Data Science, Applied Mathematics, or related field (PhD a plus).




  • 3–8 years of experience in applied machine learning, AI engineering, or data science roles.




  • Strong proficiency in Python and ML libraries such as TensorFlow, PyTorch, or Hugging Face.




  • Experience with data processing frameworks (Pandas, NumPy, Spark) and modern ML tooling (MLflow, Kubeflow, or SageMaker).




  • Solid understanding of statistics, feature engineering, model evaluation, and optimization techniques.




  • Familiarity with cloud platforms (AWS, GCP, Azure) and containerized deployment (Docker, Kubernetes).






Preferred



  • Experience with Generative AI, LLMs, or multi-modal AI (text, vision, audio).




  • Familiarity with vector databases (Pinecone, FAISS, Milvus) or retrieval-augmented generation (RAG) pipelines.




  • Background in MLOps or data engineering supporting production-grade AI systems.




  • Ability to communicate complex technical concepts clearly to non-technical audiences.






Compensation



  • Estimated Base Salary (Bay Area): $190,000 – $230,000 + bonus/equity potential

    (depending on experience, specialization, and deployment expertise)






Why This Role



  • Join a fast-growing company at the center of the Bay Area's AI innovation ecosystem.




  • Work on impactful, high-visibility projects shaping the next generation of generative AI and applied ML systems.




  • Collaborate with top engineers, data scientists, and thought leaders in the field.




Required Skill Profession

Other General


  • Job Details

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Caltek Staffing adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying United States laws and regulations

What Is the Average Salary Range for AI / Machine Learning Engineer Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Santa Clara California. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for AI / Machine Learning Engineer?

Key qualifications for AI / Machine Learning Engineer typically include Other General and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for AI / Machine Learning Engineer Job Success

Caltek Staffing interview tips for AI / Machine Learning Engineer

Here are some tips to help you prepare for and ace your AI / Machine Learning Engineer job interview:

Before the Interview:

Research: Learn about the Caltek Staffing's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

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Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your AI / Machine Learning Engineer interview at Caltek Staffing, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Caltek Staffing's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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