Senior Manager - AI

Job Description

Job Opportunity

1. Sr. Manager - AI

2. Deputy Vice President - AI

Role & responsibilities

AI & Machine Learning

Design, develop, and implement machine learning models for predictive analytics, natural language

processing (NLP), computer vision, or recommendation systems.

Lead end-to-end AI project lifecycles, including validation, productionization, and optimization using

frameworks such as TensorFlow, PyTorch, and scikit-learn.

Stay updated with the latest advancements in Generative AI and foundation models, evaluating and

integrating them as needed.

Partner with cross-functional teams to identify AI use cases and deliver measurable business value.

Data Science & Analytics

Lead the end-to-end analytics lifecycle, from data exploration to actionable insights and product

development.

Collaborate with data engineers and analysts to build impactful solutions that drive business outcomes.
Leadership & Strategy
Mentor and guide junior team members, fostering their professional growth.
Contribute to the enterprise AI and cloud strategy, including roadmap planning and vision setting.

Cloud Architecture & Engineering

Architect and design cloud-native AI and data platforms on GCP (preferred), AWS, or Azure.
Optimize data pipelines and machine learning workflows using services like Vertex AI, SageMaker, or

Azure ML.

Ensure scalable, secure, and cost-efficient architectures with robust CI/CD pipelines in cloud

environments.

Preferred candidate profile -

Strong expertise in machine learning frameworks like TensorFlow, PyTorch, Hugging Face, and scikit-

learn

Hands-on expertise with large language models (LLMs), vector databases, and retrieval-augmented

generation (RAG) techniques

In-depth knowledge of cloud platforms, preferably GCP, but also AWS or Azure.
Familiarity with data engineering tools such as BigQuery, Kafka, Snowflake.
Sound knowledge of data privacy, governance, and ethical AI practices.
Expertise in MLOps practices, including CI/CD pipelines, model monitoring, and A/B testing.