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Deloitte Consulting
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Senior Consultant | GEN AI | SAP

Senior Consultant | GEN AI | SAP

Deloitte Consulting

5 - 8 years

7 - 10 Lacs

bengaluru

Posted:-1 days ago| Platform:

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Skills Required

computer science sap version control git gcp analytical consulting machine learning data privacy python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Location: Bengaluru

Designation: Senior Consultant

Job Title: Senior Consultant AI Launchpad & MLflow

Location:

Pan India

Experience:

5 8 Years

Company:

Deloitte

Job Summary:

Deloitte is seeking a

Senior Consultant

with 6 9 years of experience in AI/ML engineering, specifically working with platforms like

AI Launchpad

and

MLflow

. The candidate will be responsible for designing, developing, and deploying machine learning workflows, managing model lifecycles, and enabling end-to-end MLOps capabilities for enterprise clients.

Key Responsibilities:

Lead the development and deployment of scalable AI/ML models using
AI Launchpad
tools and services.
Implement
MLflow
to track experiments, manage model versions, and streamline deployment workflows.
Build and automate
machine learning pipelines
for training, testing, and deploying models in production.
Collaborate with data scientists, engineers, and business teams to translate business needs into ML solutions.
Establish and maintain MLOps best practices including version control, reproducibility, model monitoring, and CI/CD for ML.
Manage ML infrastructure, including computing environments, GPU instances, and cloud-based model registries.
Ensure compliance with data privacy, security, and governance policies throughout the ML lifecycle.
Provide technical leadership, mentor junior team members, and support stakeholder engagement.

Required Qualifications:

Education:

Bachelor s or Master s degree in Computer Science, Data Science, Machine Learning, or a related field.

Experience:

5 8 years of experience in AI/ML solution development.
Hands-on experience with
AI Launchpad
(or equivalent AI development platforms).
Strong working knowledge of
MLflow
, including model tracking, versioning, and registry.
Experience building ML models using
Python
,
TensorFlow
,
PyTorch
, or
scikit-learn
.
Familiarity with
cloud platforms
(Azure, AWS, or GCP) for model training and deployment.
Strong understanding of MLOps practices and tools (e.g., Docker, Kubernetes, Git, CI/CD for ML).

Skills:

Strong knowledge of machine learning model lifecycle and DevOps for ML.
Proficiency in data manipulation and feature engineering using Pandas, NumPy, etc.
Excellent communication and leadership skills.
Strong analytical and problem-solving mindset.

Preferred Qualifications:

Experience with
Kubeflow
,
Databricks
,
SageMaker
, or
Vertex AI
.
Familiarity with model monitoring tools (e.g., Evidently, Fiddler).
Certification in machine learning or cloud (e.g., Azure AI Engineer Associate, AWS Certified Machine Learning Specialty).
Prior consulting experience or client-facing role.

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