Machine Learning Engineer

Techfokes; Hyderabad; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Techfokes in Hyderabad, India, is seeking an experienced machine learning engineer to build large-scale ML infrastructure for online recommendations and ads ranking. Candidates should have over 4 years of relevant industry experience, with strong skills in SQL and AWS.

The ideal candidate will also have experience with Big Data technologies like Spark and Kafka, and be proficient in programming languages such as Python. This opportunity is perfect for those who thrive in a rigorous cloud-based ecosystem.

Qualifications

• 4+ years of industry experience in building machine learning applications.
• Experience with SQL - 3+ years is mandatory.
• Very strong ML project experience with AWS is required.

Responsibilities

• Build large-scale machine learning infrastructure for recommendations and ads ranking.
• Develop and deploy ML solutions with software engineering rigor on AWS.

Skills

Building machine learning applications

SQL

Machine Learning (ML)

AWS

Big Data technologies

Object-oriented design

Python

Tools

Spark

EMR

Kafka

Job description

Experience in building large-scale machine learning infrastructure for online recommendation, ads ranking, personalization, search, NLP, etc.

Key Responsibilities:

• 4+ years of industry experience in building machine learning applications.
• Experience in building large-scale machine learning infrastructure for online recommendation, ads ranking, personalization, search, NLP, etc.
• SQL - 3+ years of relevant exp (Mandate)
• 4+ years of Very strong ML project experience AWS
• Experience with Big Data and distributed technologies such as Spark, EMR, Kafka a plus
• Practical experience in object-oriented design, data structures, algorithm designs, run-time analysis and code quality verification.
• Proficiency in at least one modern programming language such as Python (preferred), Scala, Java, Go.
• Experience working hands-on developing and deploying ML solutions with software engineering rigor on cloud-based ecosystems such as AWS
• Preferred to have knowledge of machine learning, data mining, information retrieval, statistics or natural language processing.