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Metro location and a common AI/ML junior role with broad skill requirements lead to medium competition.
Core ML engineering skills transfer across industries, though specialized ML/LLM experience raises domain specificity.
Minimal mandatory experience (1+ year) but required ML frameworks and SQL make shortlisting moderately strict.
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Develop, train, test, and deploy machine learning models using Python and frameworks like TensorFlow or PyTorch for business applications.
Preprocess structured and unstructured data, engineer features, and optimize model performance for scalability and accuracy.
Collaborate with cross-functional teams and stakeholders to deliver AI-driven solutions and communicate technical findings effectively.
Minimum 1 year of experience in AI/ML development.
Proficiency in Python and hands-on experience with ML libraries such as Scikit-learn, TensorFlow, PyTorch, or Keras.
Bachelor's or Master's degree in Computer Science, AI, Data Science, IT, or related field.
Experience with SQL and data manipulation tools.
Experienced in end-to-end machine learning lifecycle including model deployment and optimization.
Familiarity with or interest in Generative AI, LLMs, NLP, Computer Vision, and cloud platforms like AWS, Azure, or GCP.
Able to work collaboratively with technical teams and non-technical stakeholders, with strong communication skills and analytical mindset.