AI Engineer
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Role details
Tech stack
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Job description
- 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
Requirements
- 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 & conditions
- Dental insurance
- Health insurance
- Health savings account
- Life insurance
- Vision insurance
https://job.goodword.io/JobLanding/JobId=2071996f-a34b-4550-bc96-bb5c46b3ddc8?trafficsourceid=0 external
About the company
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.
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