AI Factory Manager (AI/ML & MLOps Leadership)
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Key skills for this role
About the Role
KalSoft seeks an experienced AI Factory Manager to lead AI/ML teams and programs, driving AI industrialization and MLOps delivery. The role requires 10+ years in data/AI, 5+ years in leadership, and expertise in machine learning, deep learning, NLP, generative AI, and cloud services.
Key Skills for This Role
Responsibilities
- Lead AI/ML teams and programs focused on AI Factory and MLOps delivery
- Drive AI/ML industrialization and ensure scalable deployment of AI solutions
- Oversee development and execution of Machine Learning, Deep Learning, NLP, and Generative AI solutions
- Collaborate with business and technical stakeholders to deliver AI driven business value
- Ensure end to end lifecycle management of AI models from development to production
- Guide teams on data engineering and big data platforms for AI solutions
- Implement and manage cloud based AI services and infrastructure
- Ensure adoption of MLOps frameworks for automation, deployment, and monitoring
- Identify and deliver AI use cases successfully into production
- Provide leadership in AI governance, standards, and best practices
- Drive strategic planning, problem solving, and continuous improvement in AI initiatives
Requirements
- Minimum 10+ years in Data, AI, or Advanced Analytics
- At least 5+ years in leadership roles managing AI/ML teams or programs
- Proven experience in AI/ML industrialization (AI Factory / MLOps)
- Experience in banking, financial services, or fintech is highly preferred
- Strong knowledge of Machine Learning, Deep Learning, NLP, and Generative AI
- Strong understanding of data engineering and big data platforms
- Strong knowledge of cloud AI services (Azure, AWS, or GCP)
- Hands on experience with Python, R, SQL, and NoSQL databases
- Experience working with MLOps frameworks and AI deployment pipelines
- Exposure to Large Language Models (LLMs) and Generative AI use cases is preferred
- Strong leadership, team building, and stakeholder management skills
- Strong strategic thinking, analytical, and problem solving abilities
Full Job Posting
Role Overview
- KalSoft is currently looking for an experienced AI Factory Manager (AI/ML & MLOps Leadership) to join our team.
- This role is ideal for senior professionals with strong expertise in Data, Artificial Intelligence, Advanced Analytics, and AI industrialization (AI Factory / MLOps).
- The candidate will be responsible for leading AI/ML teams, managing enterprise AI programs, and ensuring successful delivery of AI use cases into production environments.
Key Responsibilities
- Lead AI/ML teams and programs focused on AI Factory and MLOps delivery
- Drive AI/ML industrialization and ensure scalable deployment of AI solutions
- Oversee development and execution of Machine Learning, Deep Learning, NLP, and Generative AI solutions
- Collaborate with business and technical stakeholders to deliver AI driven business value
- Ensure end to end lifecycle management of AI models from development to production
- Guide teams on data engineering and big data platforms for AI solutions
- Implement and manage cloud based AI services and infrastructure
- Ensure adoption of MLOps frameworks for automation, deployment, and monitoring
- Identify and deliver AI use cases successfully into production
- Provide leadership in AI governance, standards, and best practices
- Drive strategic planning, problem solving, and continuous improvement in AI initiatives
Requirements
- Minimum 10+ years in Data, AI, or Advanced Analytics
- At least 5+ years in leadership roles managing AI/ML teams or programs
- Proven experience in AI/ML industrialization (AI Factory / MLOps)
- Experience in banking, financial services, or fintech is highly preferred
- Strong knowledge of Machine Learning, Deep Learning, NLP, and Generative AI
- Strong understanding of data engineering and big data platforms
- Strong knowledge of cloud AI services (Azure, AWS, or GCP)
- Hands on experience with Python, R, SQL, and NoSQL databases
- Experience working with MLOps frameworks and AI deployment pipelines
- Exposure to Large Language Models (LLMs) and Generative AI use cases is preferred
- Strong leadership, team building, and stakeholder management skills
- Strong strategic thinking, analytical, and problem solving abilities
Preferred Skills
- Exposure to Large Language Models (LLMs) and Generative AI use cases
- Certifications such as Azure AI Engineer, AWS ML Specialty, or equivalent
- Strong experience in delivering multiple AI use cases successfully into production
- Strong leadership and team building capabilities
- Strategic thinking and strong problem solving skills
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