MLOps Engineer

Allegis Group; Pune District, Gurugram District, Bengaluru; Hybrid; INR 2,500,000 - 4,500,000; Full time

Benefits offered by this job

Hybrid work model

Wellness days

Birthday day off

Health benefits

Telemedicine service

Volunteer days

Job summary

Allegis Group in Pune is seeking a data platform engineer with strong Python, AWS and ML deployment experience to design and operate scalable data pipelines.

You will work across global teams, implement IaC, containerization, and modern data warehousing; familiarity with DBT, SageMaker, Docker, Git; hybrid work model offered.

Qualifications

• Proven ability in Python programming and exposure to Python's ML ecosystem.
• Experience with AWS cloud based machine-learning deployments & tools (e.g. SageMaker, Event Bridge, ECS, ALB).
• Experience deploying infrastructure as code.
• Extensive experience with cloud and distributed systems, data-intensive applications, and large-scale system design.
• Familiarity with Large Language Models
• Understanding containerization technologies (e.g. Docker).
• Knowledge of software development practices, version control, and collaboration tools (e.g., Git, GitHub & actions)
• Understanding standard ETL patterns, modern data warehousing and data quality practices regarding test driven design and data observability.

Responsibilities

• Collaborate on deploying and managing ML models and data pipelines.
• Design and operate scalable data warehousing and real-time data systems.
• Work with global teams to communicate requirements and progress.

Skills

Python programming

AWS cloud

SageMaker

EventBridge

ECS

ALB

DBT

Infrastructure as Code

Docker

Git

Tools

SageMaker

Event Bridge

ECS

ALB

Job description

Prior experience with a focus on deploying and managing machine learning models, data engineering, working knowledge of DevOps and Software Engineering is preferred

Proven ability in Python programming and exposure to Python's ML ecosystem.

Experience with AWS cloud based machine-learning deployments & tools (e.g. SageMaker, Event Bridge, ECS, ALB).

Experience with DBT

Experience deploying infrastructure as code.

Extensive experience with cloud and distributed systems, data-intensive applications, and large-scale system design.

Experience with AI solutions (e.g. Agents use and deployment)

Experience with data warehouse (BigQuery, SnowFlake)

Familiarity with Large Language Models

Understanding containerization technologies (e.g. Docker).

Knowledge of software development practices, version control, and collaboration tools (e.g., Git, GitHub & actions)

Understanding standard ETL patterns, modern data warehousing and data quality practices regarding test driven design and data observability.

Exceptional stakeholder management and communication skills to effectively communicate across global teams

Experience implementing real time data systems [an advantage]

Experience with Streamlit [an advantage]

WHATS IN IT FOR YOU?

The opportunity to work with a fantastic team with a great culture

• The opportunity to be part of an innovative and exciting company that is completely changing an outdated industry
• The opportunity to grow professionally in a dynamic and fun environment
• A competitive compensation plan
• Hybrid work from home and office model
• A flexible time off policy which includes unlimited wellness days, personal days and vacation time
• Two volunteer days
• A day off on your Birthday
• The company paid top-tier health benefits plan and a telemedicine service