Job Description

Job Title: AI Engineer



Location: Varies by client

Employment Type: Contract

Pay: Commensurate with experience

About FOCUSPOINT:
FOCUSPOINT specializes in connecting top-tier professionals with exceptional opportunities in accounting, technology, healthcare, and leadership. We prioritize building meaningful connections, ensuring candidates find roles that align with their skills, goals, and passions.

Job Overview:
FOCUSPOINT is seeking an experienced AI Engineers for our client base.

We're partnering with forward-thinking companies that are scaling their machine learning operations and real-time AI deployments. As an AI Engineer, you'll play a pivotal role in designing, training, and refining intelligent systems across key business domains. This is your opportunity to be at the forefront of innovation-with support from a team that understands both the tech stack and the talent landscape.

Our clients look for engineers who bring more than just model fluency-they need builders, integrators, and problem-solvers who can bridge research with production.

Key Responsibilities:

• Design, implement, and optimize AI/ML models (NLP, CV, RL, LLM fine-tuning) to solve high-impact business problems
• Collaborate with cross-functional teams (Data Scientists, MLOps, Product Managers) to productionize models and monitor performance
• Develop scalable pipelines for data ingestion, feature engineering, model training and deployment
• Stay current with emerging AI frameworks and contribute to internal knowledge-sharing and POC development
• Ensure model integrity, reproducibility, and ethical AI guidelines in deployment

Qualifications:

• Bachelor's or Master's in Computer Science, Artificial Intelligence, or a related field
• 3 5 years of experience in AI/ML development, with hands-on work deploying models in production
• Proficiency in Python (PyTorch, TensorFlow, HuggingFace), and familiarity with MLOps frameworks like MLflow or Kubeflow
• Cloud experience with AWS/GCP/Azure; containerization with Docker/Kubernetes preferred
• Strong understanding of model architecture, training optimization, and performance tuning

Benefits:

• Dental insurance
• Health insurance
• Health savings account
• Life insurance
• Vision insurance

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