ML/AI Ops

Company Description Full Stack Digital Marketing is focused on guiding organizations and professionals through the fast-changing world of digital marketing. The company serves both experienced practitioners and those new to the field, providing practical, end-to-end support across strategy, execution, and optimization. It emphasizes using data-driven approaches and modern tools to improve marketing performance and business outcomes. Team members work closely with clients to design and refine campaigns that align with evolving market trends and technologies.

Role Description The ML/AI Ops role is a full-time, on-site position based in the Kolkata metropolitan area. This role is responsible for operationalizing machine learning and AI solutions that support digital marketing activities, including setting up data pipelines, monitoring model performance, and maintaining production environments. Day-to-day tasks include collaborating with marketing and sales teams to understand business requirements, configuring and optimizing ML workflows, tracking key metrics, and troubleshooting issues in deployed models. The role also involves documenting processes, coordinating with cross-functional stakeholders, and contributing to continuous improvement of AI-driven marketing operations. The candidate will help ensure that ML and AI systems are reliable, efficient, and aligned with campaign and business goals.

Qualifications

• Candidates should possess strong Analytical Skills to interpret data, evaluate model performance, and support data-driven decisions.
• Candidates should possess effective Communication skills to collaborate with technical and non-technical stakeholders and clearly document ML/AI processes.
• Candidates should possess Sales and Operations Management skills to align AI solutions with revenue goals and streamline marketing workflows.
• Candidates should possess Project Management skills to plan, prioritize, and deliver ML/AI initiatives on schedule and within scope.
• Experience with ML/AI tools and platforms (e.g., Python, ML frameworks, cloud services) and basic understanding of MLOps best practices.
• Ability to work on-site in the Kolkata metropolitan area and collaborate in a cross-functional environment.
• Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field, or equivalent practical experience.
• Familiarity with digital marketing concepts, metrics, and campaign workflows is highly beneficial.