Senior AI Engineer – San Francisco, CA ( Remote s – Security Clearance

Position: Senior AI Engineer – San Francisco, CA ( Remote ) – s – Security Clearance
Welcome to Tektrnd, where innovation meets excellence. We are a dynamic and growing team dedicated to provide solutions that enhance operational performance for businesses and government agencies. At Tektrnd, we believe in fostering a collaborative and inclusive environment where creativity thrives and ideas come to life.

Why Choose Tektrnd?

• Innovative Culture:
Be part of a forward-thinking company that encourages new ideas and embraces cutting‑edge technologies.

• Career Growth:
We invest in our employees’ growth and development, offering opportunities for advancement and learning through mentorship programs and training initiatives.

• Impactful Work:
Join us in making a difference in [industry/sector] by contributing to projects that matter and solutions that shape the future.

Why Work With Us?

At Tektrnd, we value our employees and offer competitive benefits, including:

• Comprehensive health and wellness plans

• Retirement savings options

• Flexible work schedules

• Employee discounts and perks

• Company‑sponsored events and social activities

Current Opportunities

Explore exciting career opportunities ther you’re an experienced professional or just starting your career, we have a place for you:

Role:
Senior AI Engineer ( s – Security Clearance )

Location:

San Francisco, CA ( Remote )

Duration:
Long Term Contract

Need s with Security Clearance due to Federal Client

We are seeking an experienced Senior AI Engineer to lead the design and development of our next‑generation AI solutions. You will work on complex problems, mentor junior engineers, and drive the technical vision for our AI products.

Responsibilities:

• Design, develop, and deploy production‑grade AI/ML models, including deep learning and generative AI solutions.

• Lead the end‑to‑end model lifecycle, from data acquisition and feature engineering to training, validation, and deployment.

• Architect and implement scalable ML Ops pipelines for continuous integration, continuous delivery (CI/CD), and continuous training (CT).

• Collaborate with cross‑functional teams to translate business requirements into technical AI solutions.

• Mentor junior engineers, conduct code reviews, and establish best practices for model development.

• Research and evaluate emerging AI technologies, frameworks, and hardware to drive innovation.

• Ensure model performance, scalability, reliability, and observability in production environments.

Qualifications:

• 5+ years of experience in AI/ML engineering.

• Expertise in Python and deep learning frameworks (e.g., Tensor Flow, PyTorch).

• Proven experience with cloud platforms (Google Cloud Platform, AWS, Azure).

• Strong understanding of ML Ops principles and tools.

• Excellent problem‑solving and communication skills.

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