Senior AI / ML Developer - Time Series Forecasting

Job Summary :

We are seeking a visionary and detail-oriented AI / ML Developer to join our team.

The ideal candidate will have a strong background in designing and deploying intelligent systems, with proven expertise in causal inference, and time-series modeling.

This role involves leading a small team of engineers and researchers to build production-grade AI solutions, architecting scalable systems, and collaborating cross-functionally to deliver enterprise-ready features.

Candidates with a strong software engineering foundation and a passion for ownership are highly Responsibilities :

• Design, develop, and optimize ML algorithms for prediction, causal inference, and time-series forecasting.
• Build and maintain graph-based models and knowledge graphs to support infrastructure-scale intelligence.
• Develop scalable ML pipelines for anomaly detection, reliability automation, and performance monitoring.
• Collaborate with backend, infrastructure, and product teams to integrate AI features into production systems.
• Analyze model outputs, troubleshoot performance issues, and deliver detailed insights and recommendations.
• Continuously improve ML frameworks and workflows to accelerate delivery and enhance model Skills :
• 5 to 8 years of experience in AI / ML development, with a strong focus on production-grade systems.
• Hands-on expertise in prediction models, causal inference, and time-series algorithms.
• Experience working with graph databases (e.g., Neo4j, TigerGraph) and knowledge graph architectures.
• Proficiency in Python, with deep knowledge of PyTorch, TensorFlow, and related ML libraries.
• Strong understanding of cloud platforms (AWS, GCP, Azure) and deploying ML solutions at scale.
• Familiarity with MLOps, model monitoring, and performance optimization.
• Excellent analytical and problem-solving skills, with strong communication and team collaboration abilities.

(ref : hirist.tech)