Artificial Intelligence Specialist
Role: AI/ML Architect
Location: 100% Remote
Duration: Long-term Contract
Job description:-
• Collaborate with stakeholders to identify, analyze, and document business and technical requirements, ensuring clear communication between teams for effective project execution.
• Design and architect end-to-end AI/ML solutions, ensuring scalability, security, and efficiency.
• 12+ years of experience in AI/ML engineering, including at least 4 years in an architectural role .
• Extensive experience in AI/ML model development, deployment, and lifecycle management.
• Expertise in machine learning frameworks (TensorFlow, PyTorch, Scikit-learn) and cloud platforms (AWS, GCP, Azure).
• Strong programming skills in Python, Java, or C++
• Proficiency in MLOps tools (Kubeflow, MLflow, Airflow, Docker, Kubernetes).
• Deep understanding of distributed computing, big data technologies (Spark, Hadoop), and scalable data pipelines.
• Experience with NLP, deep learning, reinforcement learning, or generative AI.
• Experience in AI-driven business transformation and enterprise AI strategies.
• Familiarity with edge AI, IoT, or real-time AI processing.
• Knowledge of ethical AI frameworks and responsible AI principles.
• Strong problem-solving skills and ability to mentor AI/ML teams.
• Experience in agile development methodologies to deliver solutions and product features.
Role: AI/ML Architect
Location: 100% Remote
Duration: Long-term Contract
Job description:-
• Collaborate with stakeholders to identify, analyze, and document business and technical requirements, ensuring clear communication between teams for effective project execution.
• Design and architect end-to-end AI/ML solutions, ensuring scalability, security, and efficiency.
• 12+ years of experience in AI/ML engineering, including at least 4 years in an architectural role .
• Extensive experience in AI/ML model development, deployment, and lifecycle management.
• Expertise in machine learning frameworks (TensorFlow, PyTorch, Scikit-learn) and cloud platforms (AWS, GCP, Azure).
• Strong programming skills in Python, Java, or C++
• Proficiency in MLOps tools (Kubeflow, MLflow, Airflow, Docker, Kubernetes).
• Deep understanding of distributed computing, big data technologies (Spark, Hadoop), and scalable data pipelines.
• Experience with NLP, deep learning, reinforcement learning, or generative AI.
• Experience in AI-driven business transformation and enterprise AI strategies.
• Familiarity with edge AI, IoT, or real-time AI processing.
• Knowledge of ethical AI frameworks and responsible AI principles.
• Strong problem-solving skills and ability to mentor AI/ML teams.
• Experience in agile development methodologies to deliver solutions and product features.
