Associate AI Architect

Role Summary

As a senior AI/ML engineer, you will architect, develop, and drive large-scale artificial intelligence and machine learning initiatives. You will lead advanced solution design, model optimization, and end-to-end deployment of production systems, collaborating with cross-functional teams to deliver maximum client impact.

Key Responsibilities

• 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.

Requirements 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.

Benefits

Why You’ll Love Working at Aivar

• Learn from Experts: Work directly with former AWS leaders and AI pioneers.
• Direct Ownership: Lead high-impact "greenfield" projects from concept to global launch.
• Modern Tech: Master the latest Generative AI frameworks and cloud-native architectures.
• Real-World Impact: Build mission-critical systems used by major global enterprises.
• Rapid Growth: Scale your career quickly in a high-speed

Diversity and Inclusion

Aivar Innovations is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to gender, gender identity, sexual orientation, religion, disability, age, marital status, caste, or any other protected characteristic, and we are committed to building a diverse, inclusive, and respectful workplace for everyone.