ATPCO is looking to enhance client offerings by developing and implementing advanced AI and machine learning solutions. The company aims to address industry challenges by integrating machine learning, AI, and automation into its offerings, requiring a Senior Manager of Data Science to lead these efforts.
Requirements
- 10+ years of experience working on big data platforms frameworks like Apache Spark, Flink, Kafka, Storm, Presto, Big Query etc.
- 3+ years of professional experience using deep learning techniques like transformers, LSTMs, and embeddings of tabular data using frameworks like TensorFlow, PyTorch etc.
- Expert knowledge of programming languages like Python, R, or Scala
- Expert knowledge of LLM, MLOps practices and AI platforms in cloud (AWS, GCP, Azure etc.)
- Hands-on experience with the full data science project lifecycle, from problem definition and data collection to model deployment and monitoring.
- Proficiency with data analysis and visualization tools (e.g., Sage maker Unified Studio, Tableau, Power BI)
Responsibilities
- Spearhead high-impact data science initiatives, integrating machine learning, AI, and automation into ATPCO’s offerings.
- Extensive experience in developing and/or deploying scalable AI solutions using LLM, knowledge graph, reinforcement learning, optimization, and real-time ML models to solve business problems.
- Establish governance frameworks for data quality, integrity, and scalability.
- Lead the adoption of emerging technologies and advanced analytical techniques.
- Define strategic priorities and optimize team structures to drive impact and efficiency.
- Hands-on experience with the full data science project lifecycle, from problem definition and data collection to model deployment and monitoring.
- Expert knowledge of LLM, MLOps practices and AI platforms in cloud (AWS, GCP, Azure etc.)
Other
- Overseeing the development and implementation of advanced AI and machine learning solutions that enhance client offerings.
- Hands-on leadership of a team comprised of machine learning engineers, business analysts, and data scientists, ensuring effective execution of product roadmaps and strategic initiatives to address industry challenges.
- Ability to communicate complex concepts clearly and inform executive decision-making.
- Serve as a key thought leader in the airline and travel industry, presenting at forums and guiding external collaborations.
- Proven ability to hire, develop, and retain top talent. This includes coaching, performance management, and creating a positive and collaborative team environment.
- Highly collaborative and experienced working cross-functionally with various departments, such as engineering, product, marketing, and finance, to ensure data science solutions are integrated and adopted throughout the organization.
