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