Sales - Machine Learning Engineer, Data Model
Sales - Machine Learning Engineer, Data Model
Posted on :
24-08-2025
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1 Vacancy
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Job Description
In this role you will collaborate with a multidisciplinary team of ML engineers data scientists software engineers researchers designers and business partners to design build and deploy high-impact models. You will focus on the following key areas: - Deploy predictive models to generate actionable insights for business strategy and decision-making. - Develop AI-driven personalization that provide tailored suggestions based on customer behavior preferences and historical data. - Leverage user segmentation and clustering to enhance personalization precision for different customer groups. - Experiment with multi-modal data (text images customer interactions) to improve personalization. - Implement hybrid personalization models (Collaborative Filtering Content-Based Knowledge Graphs) to optimize user experiences. - Build real-time personalization pipelines that can dynamically adjust based on live user interactions. - Lead the exploration for predictive modeling of Large Language Models and Generative AI Causal Inference Model GNN venturing into new areas within these fields. - Turn prototypes into automated pipelines and deploying them to production; deciding when to use out-of-the-box solutions vs. building custom solutions or a hybrid approach. - Analyze and preprocess large scale datasets to extract meaningful patterns and ensure model accuracy. - Ongoing data analysis to build new or fine-tune existing models to optimize results. - Partner closely with software engineers to implement these models into high-performing systems and models in our production environment that can be applied to create amazing experience for our worldwide audience. - Actively engaging in all aspects of model development from ideation experimentation triaging to deployment. - Communicate results/reports with stakeholders. - Maintain expertise in the latest advancements in AI technology. Partnering with your team members to prepare presentations papers and patents for your inventions.
- 5 years of professional experience in building and deploying predictive models and AI-driven personalization at scale.
- Ph.D. in Computer Science Artificial Intelligence Machine Learning or related field; or
- M.S. in related field with 3 years experience applying machine learning engineer to real business problems.
- Proven expertise in data preprocessing feature engineering and analyzing large datasets to extract meaningful patterns.
- Strong knowledge of state-of-the-art ML algorithms including Generative AI Multi-modal LLMs.
- Solid understanding of insight modeling (Causal Inference Model GNN Generative AI Forecasting).
- Hands-on experience in forecasting models anomaly detection and AI-driven personalization (matrix factorization contextual recommendation collaborative filtering).
- Proficiency in Python and key ML frameworks (TensorFlow PyTorch Keras scikit-learn).
- Experience working with Big Data tools (SQL Spark Hadoop) and cloud-based ML pipelines.
- Track record of deploying ML models into production and optimizing for performance and scalability.
- Excellent communication and soft skills.
- Strong portfolio of shipped ML products patents or published research is a plus.
Employment Type
Full Time
Key Skills
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