Consultant - ML Engineer (CON01247)

India (Bengaluru Preferred)

Hybrid

About Us

Affine is a leading global AI and analytics company that has earned the trust of major organizations across industries for transforming businesses through data-driven insights and cutting-edge Generative AI technologies.

Founded in 2011, Affine has become a trusted partner for major organizations across various industries, delivering bespoke data solutions and products. Our team excels in strategic consulting, advanced analytics, data engineering and governance, MLOps, and AI-powered solutions, with a strong emphasis on Generative AI applications that foster ingenuity and pioneer advancements.

We offer comprehensive data visualization and adoption advisory services, ensuring that our clients not only keep pace but lead in their respective fields. For more insights into our Generative AI capabilities and other services, please visit our website https://affine.ai.

We offer exciting career opportunities for professionals seeking to make a significant impact. As an Affine employee, you'll be part of a dynamic and inclusive work environment that values collaboration, creativity, and continuous learning. At Affine, we foster a culture of collaboration, you also work alongside some of the brightest minds in the industry, solve complex challenges, and make a lasting impact on the world.

Job Description

Role Description:

We are looking for someone who is interested in harnessing machine learning to power marketing optimization. Someone who is fascinated by machine learning and building robust machine learning pipelines which process massive amounts of data at scale. Someone who loves building high-scale distributed systems using a diverse set of state-of-the-art technologies. The work will span across a variety of datasets and ML models and across a diverse technology stack ranging from Spark, Flyte, Databricks, Kubernetes, AWS and much more!

What you’ll do

You work in a cross-functional team of ML Engineers and ML Scientists to operationalise ML models in production.
You build scalable, high-performance systems for model development, data ingestion, feature engineering, inference, and monitoring/evaluation.
You provide an accurate time estimates for your scope of work, turn it into code, and deliver on schedule.
You advocate for quality coding. Write secure, stable, testable, maintainable code with minimal defects.
Participate in code reviews to assess overall code quality and flexibility
Support and troubleshoot data and/or system issues as needed

Job Requirement

Min. 3+ years' experience in ML and software engineering
Coding proficiency in modern programming languages (Scala, Python etc.).
Developed software in a team environment (agile, version control, etc.).
Built and maintained an ML model or pipeline in production environments in public/hybrid cloud infrastructure.
Experience on MLOPS, ML Lifecycle, and Deployment of ML Models
Experience working with containerisation, deployment and orchestration technologies (Docker, Kubernetes, Flyte/Airflow, CI/CD pipelines, etc)
Experience with automated testing, including unit, functional, and integration testing
Experience working with at least one machine learning framework (TensorFlow, PyTorch, XGBoost, etc)
Experience working with big data technologies (Spark, Hive, Databricks, feature stores, etc).
Strong background in data structures and algorithms

Be a part of Affine's Talent Pool

If you are unable to find relevant job opportunity above, join our Talent Pool by simply submitting your resume. Our Talent Acquisition team will contact you as soon as they find a great match for your profile and discuss exciting opportunities with you.

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