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Tier-1 brand, metro location, mid-level ML role with broad skillset creates high competition.
Core ML engineering skills transfer broadly but finance domain knowledge requirement raises sensitivity to medium.
Explicit 2+ years plus production AI/ML, AWS and Python requirements imply moderate shortlisting strictness.
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Design and implement novel machine learning solutions tailored for financial tasks involving Knowledge Graphs.
Optimize and manage AWS-based cloud infrastructure to ensure scalable, high-performance delivery of AI/ML and LLM integrations.
Collaborate with data scientists and ML engineers to deploy and maintain ML/NLP models in production, including end-to-end software development and robust data pipeline management.
B.Tech/BE/M.Tech/ME in Computer Science or equivalent from a reputed college/university.
Minimum 2 years of software engineering experience with significant focus on integrating AI/ML solutions in production.
Proficiency in Python, Docker, API development, and cloud architecture experience specifically with AWS.
Experience with event-driven architectures and familiarity with SQL, NoSQL, and Vector databases.
Has proven experience deploying and scaling AI/ML workloads in cloud environments, specifically AWS.
Demonstrates expertise in working with financial data and domain-specific AI challenges, including Knowledge Graphs and NLP.
Operates effectively across full software development lifecycle and cross-functional teams to deliver robust AI-enabled financial applications.