We are looking for a highly skilled, technical, hands-on ML engineer with a
solid background in building end-to-end AI/ML applications, exhibiting a strong
aptitude for learning and keeping up with the latest advances in AI/ML. The
candidate should also be proficient with AI literacy including Gen AI.

RESPONSIBILITIES

The ML Engineer is expected to develop AI/ML Engineering Solutions, perform
DevOps and work closely with other stakeholders (ML Engineers, Data Scientists,
and Data Engineers) with key responsibilities to:

* Develop ML Platform to empower Data Scientists to perform end to end ML Ops.
* Work actively and collaborate with Data Science teams within Credit IT to
design and develop end to end Machine Learning systems.
* Lead evaluation of design options, tools, and utilities to build
implementation patterns for MLOps using VertexAI in the most optimal ways.
* Create solutions and perform hands-on PoCs.
* Develop end to end and scalable Generative AI solutions.
* Work with Suppliers, Google Professional Services, and other Consultants as
required.




* Collaborate with program managers to plan iterations, backlogs, and
dependencies across all workstreams to progress the program at the required
pace.
* Collaborate with Data/ML Engineering architects, SMEs, and technical leads to
establish best practices for data products needed for model training and
monitoring considering regulatory policy and legal compliance.

QUALIFICATIONS

* Bachelor’s degree in computer science or related field.
* 8+ years of relevant work experience in solution, application, and ML
engineering, DevOps with deep understanding of cloud hosting concepts and
implementations.
* Proven expertise with Vertex AI.
* Very strong with programming in Python.
* Knowledge of SQL (Relational & Non-relational).
* 5+ years of hands-on experience in Analytics, MLOps and Engineering Solutions
for ML based models.
* Knowledge of enterprise frameworks and technologies.
* Robust in engineering design patte

📌 Lead AI/ML Engineer (India)
🏢 Ford Motor
📍 India