Ml Solution Architect
6 months ago
**ML Solution Architect with Digital ADV**
**Location: Remote**
**Responsibilities**:
- Collaborate with stakeholders to understand business objectives and requirements related to digital advertising campaigns
- Design and implement machine learning solutions to optimize ad targeting, bidding strategies, and campaign performance
- Analyze large datasets to extract actionable insights and develop predictive models to forecast ad performance
- Work closely with data engineers to gather, preprocess, and transform data from various sources for use in machine learning models
- Evaluate and select appropriate machine learning algorithms and techniques to solve specific advertising-related problems
- Develop proof-of-concept prototypes and conduct experiments to validate the effectiveness of machine learning models
- Partner with cross-functional teams, including marketing, product management, and engineering, to ensure alignment between business goals and technical solutions
- Stay up-to-date with the latest trends and advancements in digital advertising, machine learning, and data analytics
- Provide technical guidance and mentorship to junior team members
- Participate in client meetings and presentations to explain technical concepts and solutions
**Requirements**:
- Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field (NIT, BITS)
- Proven experience working as a Machine Learning Engineer, Data Scientist, or ML Solution Architect, with a focus on digital advertising
- Strong understanding of digital advertising platforms and technologies (e.g., Google Ads, Facebook Ads, DSPs)
- Proficiency in programming languages such as Python, R, or Scala
- Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn)
- Solid understanding of data engineering concepts and tools (e.g., Apache Spark, SQL)
- Excellent problem-solving skills and attention to detail
- Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams
- Ability to work independently and manage multiple tasks simultaneously
**Preferred Qualifications**:
- Experience deploying machine learning models in production environments
- Knowledge of web analytics and A/B testing methodologies
- Familiarity with cloud platforms and services (e.g., AWS, Azure, GCP)Experience with natural language processing (NLP) and computer vision (CV) techniques
- Certification in machine learning or related fields
- US Healthcare experience
**Job Type**: Part-time
Pay: ₹836,788.72 - ₹1,014,609.32 per year
Schedule:
- Day shift
Application Question(s):
- Do you have experience on Digital Advertising?
Work Location: Remote
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