Data Scientist

Overview

Location:
Pune, India

Role Overview:
We are seeking a

Senior Machine Learning Software Engineer

to join our team and drive the development of

cutting-edge AI/ML solutions

. You will play a key role in

designing, building, and optimizing

our

machine learning infrastructure

while collaborating with

Product Managers, Data Scientists, and Engineers

to bring innovative models into production. The ideal candidate should have a strong background in

ML operations, software engineering, and automation

to ensure a scalable and robust AI-driven ecosystem.

Key Responsibilities:
Operationalize

leading

data and analytics technologies

while following best practices.

Partner with

Product Managers

to understand customer requirements,

design prototypes, and deploy solutions to production

.

Design, build, harden, and maintain

the core infrastructure supporting the

ML platform and lifecycle

.

Define and contribute to the

technology strategy, roadmap, and priorities

for AI/ML initiatives.

Automate every aspect of the

ML infrastructure

to

minimize human intervention

and improve efficiency.

Encourage and

implement best practices

in

data engineering and software development

.

Write

high-quality, production-grade code

that aligns with company standards and contribute to

new standardization efforts

.

Implement

automated testing

to ensure reliability and correctness of ML models and infrastructure.

Review and mentor

other engineers to promote high-quality engineering practices.

Actively participate in

technical communities-of-practice

and

continuing education programs

to advance personal and organizational growth.

Facilitate

problem diagnosis and resolution

across

technical and functional

areas.

Required Skills & Competencies:
8+ years

of experience in

software engineering, machine learning, or data engineering

.

Expertise in

designing, coding, and scripting

to develop

real-world AI/ML solutions

.

Strong programming skills in

Python, Java, or Scala

with hands-on experience in

ML frameworks.

Experience with

ML model deployment, MLOps, and automation

.

Proficiency in

cloud-based ML solutions.

Knowledge of

data pipeline orchestration tools.

Strong background in

data engineering concepts.

Experience working with

containerization.

Strong analytical and problem-solving skills with a

collaborative mindset

.

Excellent

communication and leadership skills

with the ability to

mentor and guide

junior engineers.