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Metro location, mid-level generalist AI role with broad cloud/big-data requirements drives high applicant competition.
Core ML, Python and cloud skills are transferable, though private-equity domain experience is beneficial.
Mandatory AI, Python and cloud/big-data experience plus explicit 2+ years creates moderate resume filtering.
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Collaborate with cross-functional teams to gather business requirements and architect scalable digital & AI systems.
Design and develop AI applications and models using techniques like machine learning, NLP, computer vision, and predictive analytics with Python and frameworks (TensorFlow, PyTorch, scikit-learn).
Leverage big data and cloud platforms (AWS, Azure, GCP) with distributed frameworks (Hadoop, Spark), ensuring performance, reliability, and compliance while mentoring junior engineers.
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
Minimum 2 years of software development experience focused on digital technologies and AI.
Proficiency in Python with frameworks such as TensorFlow, PyTorch, scikit-learn; knowledge of machine learning, deep learning, reinforcement learning, and NLP.
Experience with big data technologies, cloud platforms (AWS, Azure, GCP), and distributed computing frameworks like Hadoop and Spark.
Experienced in applying advanced AI techniques to build production-grade scalable solutions and maintaining Python codebases for performance and maintainability.
Comfortable working in globally distributed, fast-paced environments, preferably with exposure to financial services or private equity/investor services.
Capable of mentoring junior engineers and communicating technical concepts clearly to both technical and business stakeholders.