We are seeking a highly skilled and creative AI Engineer to join our technology team. In this role, you will design, develop, and deploy AI/ML solutions that power innovative products and services. You will work on building intelligent systems, integrating AI into applications, and ensuring our solutions are scalable, ethical, and impactful.

If you have a strong background in AI/ML, software development, and cloud-based deployment, and are excited about shaping the future of intelligent digital solutions, then this is the opportunity for you.

Academic Qualifications:

• A Bachelor’s or Master’s degree in computer science, Artificial Intelligence, Machine Learning, Data Science, Computer Engineering, or related fields.
• Professional certifications in AI/ML, Cloud (AWS, Azure, or GCP), or Data Engineering are an added advantage.

Required Skills and Expertise:

• 3–7 years of hands-on experience in building and deploying AI/ML models in real-world applications.
• Strong programming experience in Python, R, or Java, with expertise in frameworks such as TensorFlow, PyTorch, Scikit-learn.
• Experience with NLP, Computer Vision, Generative AI, or Recommendation Systems is highly desirable.
• Strong background in data engineering (data pipelines, APIs, SQL/NoSQL databases, and big data frameworks).
• Familiarity with cloud platforms (AWS Sagemaker, Azure ML, or Google Vertex AI) and containerization (Docker, Kubernetes).
• Experience integrating AI into enterprise applications, APIs, and digital platforms.
• Understanding of MLOps best practices for continuous integration, deployment, and monitoring of ML models.
• Knowledge of Responsible AI, Ethics, and Data Privacy in AI solutions.
• Strong problem-solving, analytical thinking, and ability to work in a fast-paced, collaborative environment.

Responsibilities

• Design, train, and deploy scalable AI/ML models for diverse business use cases.
• Integrate AI features into Farsight applications and platforms.
• Build data pipelines, preprocessing workflows, and ensure high-quality data for model training.
• Implement MLOps pipelines for continuous deployment, monitoring, and improvement of models.
• Research and apply state-of-the-art AI methods (Generative AI, NLP, CV) to Farsight client problems.
• Work with stakeholders to understand business needs and translate them into AI-driven solutions.
• Ensure AI solutions adhere to ethical standards, data privacy regulations, and industry best practices.
• Contribute to innovation by exploring new tools, frameworks, and approaches to enhance AI capabilities.