AI/ML Lead (Applied AI/ML) (Bengaluru)

Job Title: AI/ML Lead (Applied

AI/ML)

Experience: 8+ Years

Location: Remote

Notice Period: Immediate Joiner

Position Overview

We are seeking an experienced and highly skilled Applied

AI/ML Lead to lead the design, development, and deployment of AI/ML

solutions for real -world business use cases. This role focuses on translating

AI research and models into production -ready, scalable solutions that

deliver measurable business impact.

As an AI/ML Lead, you will collaborate closely with

cross -functional teams including Data Analytics, Engineering, and Product,

influence AI -driven business strategies, and mentor a growing AI/ML team while

staying current with emerging AI technologies.

Roles & Responsibilities

• Lead

the development, deployment, and optimization of AI/ML models for

customer -facing applications.

• Drive

AI initiatives focused on personalization, recommendations, and

predictive analytics.

• Collaborate

with Data Analytics, Data Engineering, and Development teams to integrate

AI models into production systems.

• Design

and implement AI solutions using clustering, segmentation, and scoring

techniques.

• Ensure data readiness, quality, and pipeline reliability for AI/ML

workloads.

• Oversee

the development of AI/ML -based features and capabilities aligned with

business goals.

• Implement AIOps practices to monitor model performance and reduce MTTR (Mean

Time to Resolution).

• Mentor

and provide technical leadership to junior AI/ML engineers and data

scientists.

• Continuously

evaluate and adopt new AI/ML technologies and best practices.

Must -Have Skills

• 8+

years of experience in AI/ML, with at least 3 years in a

leadership or technical lead role.

• Strong

experience in applying AI/ML to business problems, especially

customer experience and personalization.

• Hands -on

expertise with TensorFlow, PyTorch, and scikit -learn.

• Strong

proficiency in Python for AI/ML development and deployment.

• Experience

integrating AI/ML models with cloud platforms (AWS preferred).

• Hands -on

exposure to AWS AI/ML services such as SageMaker or equivalent.

• Deep

understanding of customer segmentation, scoring, and recommendation

systems.

• Experience

working with real -time data systems and pipelines (e.g., Kafka).

• Solid

understanding of end -to -end ML lifecycle management from

experimentation to production.

Good to Have

• Experience

with MinIO and S3 for large -scale data storage.

• Exposure

to workflow orchestration tools like Apache Airflow.

• Knowledge

or hands -on experience with LLMs (Large Language Models) and RAG

(Retrieval -Augmented Generation).

• Experience

in automating AI/ML pipelines and deployments.

Qualifications

• Bachelors

degree in Computer Science, Engineering, or a related technical

discipline. .