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Mid-level ML role in a metro with popular AI skills increases applicant competition.
Core ML/AI skills are transferable, though financial domain experience slightly favors industry specialists.
Explicit 2–4 year requirement plus specific ML stack and degree increases shortlist rigidity.
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Develop and implement both traditional machine learning and generative AI solutions for financial services applications.
Collaborate with AI engineers and data scientists to integrate AI models into existing systems and build new AI-powered applications.
Handle end-to-end software development lifecycle, including coding, testing, deployment, and analyze data to derive insights informing AI model development.
2 to 4 years of experience in AI/ML engineering or related fields.
Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or related discipline.
Proficiency in Python and AI/ML libraries like scikit-learn, TensorFlow, PyTorch; familiarity with generative AI models and frameworks (e.g., transformers, GPT).
Located in Gurgaon, India or willing to work there (onsite requirement).
Experienced with a range of AI techniques including traditional ML and generative AI in applied financial contexts.
Comfortable working collaboratively within cross-functional teams of AI engineers, data scientists, and software developers in a technologically advanced environment.
Capable of managing full software development lifecycle tasks and translating complex AI concepts to varied audiences effectively.