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Tier-1 firm, popular AI title, mid-level (5–10 yrs), Pune metro, and broad ML/cloud skillset increase competition.
Core ML/AI engineering skills transfer across industries, though financial domain projects require domain knowledge.
Explicit 5–10 years plus mandatory ML frameworks, deployment and cloud skills make shortlisting strict.
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Design and develop AI models including neural networks to learn from data and mimic human cognitive functions.
Deploy ML models into scalable, operational applications via APIs, microservices, or cloud platforms.
Manage large datasets for training AI models including NLP and computer vision, and optimize AI system performance.
5 to 10 years of work experience.
Strong proficiency in Python, Java, or C++ programming languages.
Experience with ML frameworks such as TensorFlow, PyTorch, Keras, or Scikit-learn.
Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
Experienced in end-to-end AI system development including design, training, deployment, and optimization.
Skilled in managing AI projects leveraging cloud platforms like AWS SageMaker, Azure ML, or Google Cloud.
Capability to collaborate with cross-functional teams including data scientists and software engineers to align AI solutions with business goals.