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Join our Data Science team to develop high impact, scalable and sustainable ML solutions. Collaborate with senior data scientists and product managers to understand customer needs and co-own the deployment and maintenance of key ML models. Work on text and image data using leading ML techniques in GenAI / OCR / Image processing. Build end-to-end pipelines, perform modeling experiments, and automate AWS and GCP pipelines. This is a full-time on-site opportunity based in Bengaluru, Karnataka, India.

Roles and responsibilities :
- Part of Data Science team to develop high impact, scalable and sustainable ML solutions
- Collaborate with Senior Data Scientists and product managers to understand customer
needs and co-own the deployment and maintenance of key ML models
- Work closely with Data Scientists on text and image data using the leading ML techniques
in GenAI / OCR / Image processing
- Develop end to end pipeline and further enhancement of solutions for scale and stability
- Build quality checks, unit tests and diagnostic reports for code and output quality
monitoring using python, SQL and yaml
- Conduct modeling experiments and report automation
- Scheduling, automating and stabilizing the current AWS pipeline using jenkins, Step
Function, Lambda, Runtime, Sagemaker
- Develop in-house capability to deploy custom models on Sagemaker endpoints taking
care of platform and library compatibility
- Explore GCP capabilities to deploy projects - Code Versioning, end points, GCS, Bigquery
and automation / scheduling


Preferred Qualifications :
- Curiosity to learn Advanced ML, Data Science + ML Ops ; looking to build a career and
expertise in Data Science
- 1-2 years working experience as a Data Engineer / ML Engineer / Data Analyst
- Hands-on experience with Python and SQL is must
- Understanding of data modeling, data access, data storage, and optimization techniques

- Experience working with cloud-based technologies and development processes
- An ideal candidate would be expected to have basic familiarity of GCP and AWS
Infrastructure. Advanced knowledge of ML Ops related tools like Sagemaker, ECR, Step
Functions, Vertex AI is preferred
- Ability to quickly understand the tech pipeline / project infrastructure; engage deeply with
Team members; Delivery quickly on new development or optimization related action items
- Quick action oriented approach preferred over brainstorming on very long term ideas

Set alert for similar jobsMachine Learning Engineer 1 role in Bengaluru, India
CommerceIQ Logo

Company

CommerceIQ

Job Posted

9 months ago

Job Type

Full-time

WorkMode

On-site

Experience Level

0-2 Years

Category

Machine Learning

Locations

Bengaluru, Karnataka, India

Qualification

Bachelor

Applicants

Be an early applicant

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