Process Manager

Job Description

About eClerx Digital

eClerx Digital is the trusted partner of choice to many of the world’s largest global brands for creative production, e-commerce/web operations, and analytics and insights services. We help clients maximize the results of their digital activities across the customer journey. Global industry leaders partner with us to cost-effectively scale their digital activities by leveraging our highly skilled blended resource model.

To know more about us, visit https://eclerx.com

eClerx is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability or protected veteran status, or any other legally protected basis, per applicable law.

Responsibilities

Key Responsibilities

• Translate business problems into data-driven analytical approaches and AI solutions.
• Develop and deploy machine learning, predictive analytics, and optimization models.
• Apply AI and Generative AI techniques to enhance decision-making and automate insights.
• Conduct exploratory data analysis, feature engineering, and model development.
• Collaborate with data engineering teams to build scalable and production-ready solutions.
• Present analytical insights and recommendations to senior client stakeholders.
• Contribute to the development of analytics frameworks, accelerators, and AI innovation initiatives.
  
  

• Strong programming skills in Python or R
• Proficiency in SQL and large-scale data analysis
• Experience with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch)
• Familiarity with Generative AI, NLP, or LLM-based applications
• Experience with data visualization tools (Tableau, Power BI, or Python-based libraries)
  
  

• Experience with cloud platforms (Databricks, AWS, Azure, or GCP)
• Exposure to MLOps and model deployment frameworks
• Experience with distributed computing tools such as Spark or Databricks
• Prior exposure to pricing analytics, customer analytics, or revenue optimization
  
  

• Strong analytical and problem-solving skills
• Ability to translate technical insights into business recommendations
• Effective communication and stakeholder management