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Work Fox Solutions
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AI/ML Engineer

AI/ML Engineer

Work Fox Solutions

10 years

0 Lacs

gurugram haryana india

Posted:6 hours ago| Platform:

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Skills Required

ai ml recruitment strategies consulting data transparency support engineering drive reliability automation strategy development design prototype aws sagemaker azure github training experimentation latency model rest automate testing monitoring drift programming tensorflow pytorch mlflow airflow docker spark kafka sql git terraform learning communication engagement openai quantization governance compliance finance healthcare leadership mentoring

Work Mode

On-site

Job Type

Full Time

Job Description

Company Description

At WorkFox Solutions, we bridge the gap between top talent and forward-thinking companies, helping both grow and thrive. We offer end-to-end recruitment services, executive search, talent acquisition strategies, HR consulting, and personalized career counseling. Our approach combines human intuition with data-driven insights to build trust, transparency, and long-term partnerships. Whether you're an employer searching for the perfect fit or a job seeker looking for your next opportunity, we are here to support your journey.

Role Description

Senior Consultant – AI & Machine Learning

not a pure data science role

Partner with data scientists to productionize models.
Architect and deploy AI/ML solutions using
modern cloud platforms and MLOps tools.
Provide
advisory and technical leadership
to enterprise stakeholders on generative and agentic AI adoption.
Drive reliability, automation, and performance across
mission-critical ML systems
.
You’ll combine
deep technical knowledge
with
client-facing consulting skills
, working at the intersection of engineering, strategy, and innovation.

Key Responsibilities

Technical Advisory:

Client Engagements:

Solution Design & Implementation:

ML Engineering:

Design robust
ML pipelines
for training, validation, and deployment.
Transition models from experimentation to production.
Implement
high-availability, low-latency model serving
(REST/gRPC).

MLOps & Automation:

Automate testing, monitoring, and retraining workflows with
CI/CD pipelines.
Implement
model drift detection, performance monitoring, and governance.

Cloud Expertise:

Collaboration:

Thought Leadership:

Must-Have Skills & Experience

Experience:

8+ years in AI/ML engineering and consulting.
Proven record of
enterprise-grade AI/ML solution delivery.
Hands-on expertise in
Agentic AI
and
Generative AI platforms.

Technical Skills:

Strong programming in
Python
.
Proficiency with
ML frameworks
(TensorFlow, PyTorch, Scikit-learn, XGBoost).
Hands-on with
MLOps tools
(MLflow, Airflow, TFX, Kubeflow, BentoML).
Experience with
containerization
(Docker, Kubernetes).
Knowledge of
cloud services
:
AWS (SageMaker, Bedrock, EC2, S3, Lambda).
Azure (AI Foundry, Cognitive Services, Machine Learning).
Familiarity with
data engineering tools
(Spark, Kafka, SQL/NoSQL).
Strong grasp of
CI/CD, Git, Infrastructure-as-Code
(Terraform, Helm).
Monitoring & observability (Prometheus, Grafana, ELK).

Certifications:

AWS Certified Machine Learning – Specialty.
Microsoft Certified: Azure AI Engineer Associate.

Soft Skills:

Strong communication & client engagement skills.
Ability to lead technical discussions with senior stakeholders.
Critical thinking & problem-solving in ambiguous environments.

Good to Have

Exposure to
OpenAI, Anthropic Claude, Hugging Face
.
Edge/embedded ML, model quantization, and hardware acceleration.
Knowledge of
model governance, compliance, and security
.
Domain expertise (finance, healthcare, retail, manufacturing).
Leadership: mentoring junior engineers, leading cross-functional programs.
Contributions to open-source AI/ML projects or industry events.

Minimum Qualification

Bachelor’s or Master’s degree in
Computer Science, Engineering, or related field
.
8–10 years of experience in
ML engineering and AI consulting roles.

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AI/ML Engineer

Experience & Salary

Skills Required

Work Mode

Job Type

Job Description

Company Description

Role Description

Senior Consultant – AI & Machine Learning

not a pure data science role

modern cloud platforms and MLOps tools.

advisory and technical leadership

mission-critical ML systems

deep technical knowledge

client-facing consulting skills

Key Responsibilities

Technical Advisory:

Client Engagements:

Solution Design & Implementation:

ML Engineering:

ML pipelines

high-availability, low-latency model serving

MLOps & Automation:

CI/CD pipelines.

model drift detection, performance monitoring, and governance.

Cloud Expertise:

Collaboration:

Thought Leadership:

Must-Have Skills & Experience

Experience:

enterprise-grade AI/ML solution delivery.

Agentic AI

Generative AI platforms.

Technical Skills:

Python

ML frameworks

MLOps tools

containerization

cloud services

data engineering tools

CI/CD, Git, Infrastructure-as-Code

Certifications:

Soft Skills:

Good to Have

OpenAI, Anthropic Claude, Hugging Face

model governance, compliance, and security

Minimum Qualification

Computer Science, Engineering, or related field

ML engineering and AI consulting roles.

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