Number of Applicants
:000+
Let AI Supercharge Your Job Hunt!
JobCopilot scans 500,000+ company career sites daily to find jobs for you
Aivar is an AI -first technology partner where cutting -edge technology meets industry expertise to supercharge your projects. Our AI -augmented teams accelerate development, reduce time -to -market, and deliver exceptional code quality. We bring together the best minds in tech to craft scalable, repeatable solutions that drive real momentum for your business.
• Architect, design, and deploy scalable AI/ML solutions using cloud platforms (AWS, GCP, Azure).
• Lead development of complex models for NLP, computer vision,generative AI, or predictive analytics.
• Guide model optimization, feature engineering, and hyper -parameter tuning for robust performance.
• Oversee data engineering pipelines for large -scale, secure, and high -quality data processing.
• Implement and maintain MLOps/LLMOps processes for automated CI/CD, versioning, monitoring, and retraining.
• Collaborate with product, engineering, analytics, and client teams to translate business requirements into technical solutions.
• Mentor and technically lead junior engineers and data scientists.
• Ensure best practices in responsible AI, security, compliance, and governance.
• Stay abreast of industry trends and introduce new AI/ML frameworks and cloud -native approaches.
Key Skills & Requirements
• 5+ years of professional experience in AI/ML, data science, or a similar technical domain.
• Deep proficiency in Python and one or more ML/DL frameworks (TensorFlow, PyTorch, Scikit -learn, Keras).
• Demonstrated experience with cloud -based platforms for ML deployment (AWS SageMaker, VertexAI, etc.).
• Expertise in advanced ML/AI techniques: NLP (LLMs, transformers), computer vision, generative AI, RAG architectures.
• Solid MLOps and DevOps experience (Docker, Kubernetes, CI/CD pipelines, MLflow, DVC).
• Strong data engineering skills (ETL, batch & streaming data, SQL/ NoSQL, data modeling).
• Excellent analytical, problem -solving, and communication abilities.
• Experience leading or mentoring teams and owning delivery for large -scale tech projects.
• Background in enterprise automation, digital transformation, and building AI -powered products is highly valued.
Diversity and Inclusion
Auto-Apply to AI ML Engineer Jobs with your AI JobCopilot
Copyright © 2026 Grabjobs Pte.Ltd. All Rights Reserved.