Senior Consultant - ML Engineer - Artificial Intelligence & Data

Deloitte Consulting

8 - 13 years

22 - 25 Lacs

bengaluru

Posted:1 hour ago| Platform:

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Skills Required

supply chain stakeholder engagement version control git orchestration gcp artificial intelligence monitoring sql python

Work Mode

Work from Office

Job Type

Full Time

Job Description

8+ years of experience in software, data, or ML engineering, including
5+ years in MLOps or operationalizing AI/ML workflows

Deep hands-on experience with
Python, Spark/PySpark
,
SQL,
and orchestration tools such as Airflow
Proven experience with
public cloud platforms
, preferably
GCP (Vertex AI, GKE, Cloud Run)
or
AWS
Skilled in
Databricks
,
FastAPI
, and
containerized environments
using
Docker
,
Kubernetes
Deep understanding of
CI/CD pipelines
, version control systems (eg,
Git
), and infrastructure-as-code (
Terraform
)
Expertise with
MLOps tools
like MLflow, Kubeflow, or similar for model tracking, versioning, deployment, and monitoring
Proficient with
model monitoring frameworks
(eg,
Prometheus
,
Grafana
) and implementing
model drift, performance degradation, and rollback mechanisms
Familiarity with
BI integration tools
(eg, Tableau) for exposing model outputs to business users
Demonstrated ability to contribute to roadmap execution, and deliver outcomes
Self-motivated
, proactive, and comfortable working both independently and collaboratively across engineering, data science, and business teams
Strong communication and stakeholder engagement skills, with a focus on
impact and execution

Nice-to-Have:

Practical experience with both
structured and unstructured data pipelines
supporting model training and real-time inference
Familiarity with modern ML and deep learning frameworks, including
Scikit-learn, TensorFlow, PyTorch
Experience in utilization of
foundation models
(eg, GPT, BERT, CLIP, DINO, SAM)
Exposure to
feature stores
,
unstructured data databases
, or
retrieval-augmented generation (RAG)
pipelines
Experience in
agriculture, manufacturing, or supply chain
domains with real-world ML applications

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