ATPCO is looking to enhance client offerings by developing and implementing advanced AI and machine learning solutions to address industry challenges.
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.)
- 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.
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.
- Serve as a key thought leader in the airline and travel industry, presenting at forums and guiding external collaborations.
- 8–10+ years of professional experience in data science, with at least 3–5 years in people leadership or management roles.
- 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.
