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Nest Digital Pvt Ltd

A3, Periyar, Technopark campus, Kariyavattom Trivandrum, Regd office Address SFO Technologies Pvt ltd, Plot 2, Special economic zone, kakkanad, cochin - 682037 , 695581

AI/ML Lead

Closing Date:30,June 2026
Job Published: 01,June 2026

Brief Description

Location: Trivandrum (Thiruvananthapuram) 
Company: NeST Digital

Key Responsibilities 

  •         Design and develop Machine Learning and Deep Learning models for real-world use cases such as Computer Vision and Predictive Analytics  
  •         Lead the end-to-end ML lifecycle: data collection, model development, deployment, monitoring, and retraining  
  •         Build and manage MLOps pipelines including CI/CD, model deployment, monitoring, and automation  
  •         Integrate ML models into applications using APIs and microservices  
  •        Ensure scalability, reliability, and performance of AI systems in production environments  
  •        Monitor model performance and data drift, and continuously optimize models  
  •        Benchmark models for accuracy, scalability, and efficiency  
  •        Collaborate with cross-functional teams including data engineers, developers, and business stakeholders
  • Lead technical delivery and enforce best practices in ML/DL development

Preferred Skills

Job Summary 

We are looking for an experienced AI/ML Lead to design, build, and deploy scalable machine learning and deep learning solutions for real-world applications. The ideal candidate will have strong expertise in ML/DL model development, MLOps, and production deployment, along with the ability to lead end-to-end AI initiatives.

Required Skills 

Machine Learning & Deep Learning

  •       Strong hands-on experience in ML/DL model development  
  •       Experience in Computer Vision and predictive/time-series models  

MLOps & Deployment 

  •       Experience in model deployment, monitoring, and lifecycle automation  
  •       Hands-on experience with tools like MLflow, Kubeflow, SageMaker, or Vertex AI  
  •       Familiarity with Docker, Kubernetes, and CI/CD tools (Jenkins, GitHub Actions)  

Programming & Data 

  •  Strowith SQL and data processing tools such as Spark, Airflow, or Kafka  
  • Understanding of full-stack integration of ML models  

Cloud & Systems 

  •        Experience with cloud platforms such as AWS, GCP, or Azure  
  •        Understanding of scalable model serving and production systemsShape 

Experience

  •       5 to 10 years of experience in AI/ML engineering  

Minimum 2 Machine Learning / Deep Learning projects deployed to production (Mandatory)