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Apexon
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Lead AI Engineer

Lead AI Engineer

Apexon

8 - 13 years

11 - 15 Lacs

hyderabad

Posted:1 day ago| Platform:

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Skills Required

solution architecture team management bfsi machine learning wellness healthcare asset management analytics financial services python

Work Mode

Work from Office

Job Type

Full Time

Job Description

We are seeking a seasonedTechnical Leadwith a strong data science background to lead a team of Data Scientists supporting a strategic client in the banking and financial services domain. This role combines hands-on technical leadership with solution architecture responsibilities, and is ideal for someone who can guide the team in applying advanced AI technologies includingagentic AI,RAG to solve complex business problems.

Key Responsibilities

Technical Leadership Architecture
Lead the design and delivery of AI/ML solutions usingRAG, and other transformer-based models.
Work with the Architect to build scalable, secure, and compliant data science workflows usingLangFuse , Databricks , Dataiku , andAzure OpenAI.
Applyagentic AI frameworksto automate decision-making and enhance customer and operational outcomes.
Team Management Collaboration
Mentor a team of Data Scientists, ensuring alignment with client goals
Foster a culture of innovation, accountability, and continuous learning.
Collaborate with client stakeholders, product managers, and engineering teams to translate business needs into technical solutions.
Strategic Insight Business Alignment
Ensure solutions support credit card operations, banking workflows, and financial regulations.
Translate analytical results into actionable recommendations for client stakeholders.
Stay current with industry trends and emerging technologies to guide strategic direction.
Required Skills Qualifications
8+ years of experience in data science, machine learning, or AI
Strong proficiency in Python and experience with transformer-based models (e.g., BERT, GPT).
Hands-on experience withRAG pipelines , LangFuse , Databricks , Dataiku , andAzure OpenAI.
Proven ability to lead technical teams and deliver enterprise-grade AI solutions.
Strong analytical, statistical, and problem-solving skills.
Excellent communication and stakeholder engagement abilities.
Solid understanding of financial services data, operations, and compliance.
Preferred Qualifications
Experience with cloud-native architectures and MLOps frameworks.
Background in fraud detection, risk modeling, customer segmentation, or personalized marketing.
Familiarity with enterprise architecture frameworks (e.g., TOGAF, Zachman).
Experience with prompt engineering, evaluation frameworks, and LLMOps.
Experience on AWS is added advantage

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Lead AI Engineer