AI ML Engineer

• Design, build, and deploy scalable AI/ML solutions
• Own model development lifecycle from problem definition to production
• Develop robust feature pipelines and model inference systems
• Optimize model performance, scalability, and reliability
• Collaborate with product, engineering, and business teams
• Contribute to MLOps practices and automation
• Review and guide junior engineers' work
• Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

Required Qualifications:

• Bachelor's degree in Engineering
• 4+ years of applied AI/ML experience
• Experience delivering ML solutions into production

Key Skills:

• Advanced Python and ML/DL frameworks (PyTorch, TensorFlow)
• Strong grasp of ML algorithms, evaluation, and optimization
• Experience with production ML systems
• MLOps tools (MLflow, CI/CD, model monitoring - preferred)
• Cloud platforms (Azure/AWS/GCP - preferred)
• System design and analytical thinking