Experience:

• 8+ years of hands on experience in machine learning, data science, or AI engineering
• Experience deploying models to production environments with MLOps practices
• Experience with cloud platforms (Azure, AWS, or GCP) and containerization (Docker, Kubernetes preferred)

Qualification:

• Bachelor's or Master's degree in Computer Science, AI, ML, Data Science, or a related field

Role Focus:

• Lead design and delivery of scalable AI/ML solutions from data to production
• Develop, train, evaluate, and optimize advanced machine learning models
• Productionize models using MLOps best practices, CI/CD, and monitoring
• Collaborate with data, product, and engineering teams to solve business problems
• Mentor engineers, review code, and drive ML standards and best practices
• Stay current with AI/ML advancements and ensure responsible, ethical AI usage

Additional responsibilities:

• Collaborate with research, engineering, and product teams to translate cutting-edge AI advancements into production-ready capabilities
• Uphold ethical AI principles by embedding fairness, transparency, and accountability throughout the model development lifecycle
• Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives

More skills:

ML frameworks (TensorFlow, PyTorch, scikit learn), feature engineering, model evaluation, model monitoring, performance optimization

Other:

• Proven solid problem solving, communication, and collaboration skills
• Proven ability to mentor engineers and work cross functionally with product and data teams
• Comprehensive benefits and career development opportunities