As an Artificial Intelligence (AI) Engineer at apexcaretalentsolutions, you will be at the forefront of designing, developing, and deploying cutting‑edge machine learning models that power our next‑generation products and services. You will collaborate closely with data scientists, software engineers, product managers, and domain experts to translate complex business challenges into scalable AI solutions, ensuring robustness, ethical compliance, and real‑time performance. The role offers a dynamic, fast‑paced environment where innovative thinking is encouraged, and continuous learning is supported through access to advanced research resources, mentorship programs, and industry conferences. Your contributions will directly influence the company's strategic direction, enhancing customer experiences and creating measurable value across diverse markets while fostering a culture of curiosity, teamwork, and technical excellence.

Requirements:

• Proven experience (1‑30 years) in developing AI/ML pipelines, including data preprocessing, model training, validation, and deployment.
• Strong proficiency in Python and frameworks such as TensorFlow, PyTorch, or Scikit‑learn, with solid understanding of algorithms, statistics, and deep learning architectures.
• Hands‑on experience with cloud platforms (AWS, Azure, GCP) and containerization tools like Docker and Kubernetes for scalable model serving.
• Familiarity with version control (Git), CI/CD practices, and MLOps concepts to ensure reproducibility and maintainability.
• Excellent problem‑solving abilities, effective communication skills, and a collaborative mindset to work across multidisciplinary teams.
• Advanced degree (M.Sc. or Ph.D.) in Computer Science, Artificial Intelligence, Data Science, or related field is preferred.

Roles and Responsibilities:

• Design and implement end‑to‑end AI solutions, from data ingestion to model deployment and monitoring.
• Develop and optimize deep learning models for computer vision, natural language processing, and predictive analytics.
• Collaborate with data engineering teams to build robust data pipelines and ensure data quality for training.
• Conduct experiments, perform hyperparameter tuning, and evaluate model performance against business metrics.
• Integrate AI models into production systems, ensuring scalability, latency compliance, and security standards.
• Stay abreast of emerging AI research, propose innovative approaches, and contribute to internal knowledge‑sharing sessions.
• Document technical designs, write clear code comments, and maintain comprehensive model documentation.

Budget:

• Job Type: payroll
• Maximum Budget: $180,000 USD per year
• Experience Range: 1‑30 years