AI/ML Lead (Applied AI/ML)

Job Title: AI/ML Lead (Applied
AI/ML)

Experience: 8+ Years

Location: Remote

We are seeking an experienced and highly skilled Applied
AI/ML Lead to lead the design, development, and deployment of AI/ML
solutions for real -world business use cases. This role focuses on translating
AI research and models into production -ready, scalable solutions that
deliver measurable business impact.

As an AI/ML Lead, you will collaborate closely with
cross -functional teams including Data Analytics, Engineering, and Product,
influence AI -driven business strategies, and mentor a growing AI/ML team while
staying current with emerging AI technologies.

Roles & Responsibilities

• Lead
  the development, deployment, and optimization of AI/ML models for
  customer -facing applications.
  
• Drive
  AI initiatives focused on personalization, recommendations, and
  predictive analytics.
  
• Collaborate
  with Data Analytics, Data Engineering, and Development teams to integrate
  AI models into production systems.
  
• Design
  and implement AI solutions using clustering, segmentation, and scoring
  techniques.
  
• Ensure data readiness, quality, and pipeline reliability for AI/ML
  workloads.
  
• Oversee
  the development of AI/ML -based features and capabilities aligned with
  business goals.
  
• Implement AIOps practices to monitor model performance and reduce MTTR (Mean
  Time to Resolution).
  
• Mentor
  and provide technical leadership to junior AI/ML engineers and data
  scientists.
  
• Continuously
  evaluate and adopt new AI/ML technologies and best practices.
  

Must -Have Skills

• 8+
  years of experience in AI/ML, with at least 3 years in a
  leadership or technical lead role.
  
• Strong
  experience in applying AI/ML to business problems, especially
  customer experience and personalization.
  
• Hands -on
  expertise with TensorFlow, PyTorch, and scikit -learn.
  
• Strong
  proficiency in Python for AI/ML development and deployment.
  
• Experience
  integrating AI/ML models with cloud platforms (AWS preferred).
  
• Hands -on
  exposure to AWS AI/ML services such as SageMaker or equivalent.
  
• Deep
  understanding of customer segmentation, scoring, and recommendation
  systems.
  
• Experience
  working with real -time data systems and pipelines (e.g., Kafka).
  
• Strong
  understanding of end -to -end ML lifecycle management from
  experimentation to production.
  

Good to Have

• Experience
  with MinIO and S3 for large -scale data storage.
  
• Exposure
  to workflow orchestration tools like Apache Airflow.
  
• Knowledge
  or hands -on experience with LLMs (Large Language Models) and RAG
  (Retrieval -Augmented Generation).
  
• Experience
  in automating AI/ML pipelines and deployments.
  

Qualifications

• Bachelor’s
  degree in Computer Science, Engineering, or a related technical
  discipline.