Senior ML Engineer

Overview

Remote
$55 - $60
Contract - W2
Contract - 06 Month(s)

Skills

Go Programming
Machine Learning
Backend Development
Python

Job Details

Immediate need for a talented Senior ML Engineer. This is a 06+months contract opportunity with long-term potential and is located in U.S(Remote). Please review the job description below and contact me ASAP if you are interested.

Job ID:25-92540

Pay Range: $55 - $60/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).

Key Responsibilities:

  • Design, implement and maintain scalable ML infrastructure and production systems.
  • Closely collaborate with Data Scientists to build data pipelines for training and serving ML models for Client's Personalization Platform .
  • Work with cross-functional teams (data science, product, backend, DevOps) to define technical solutions and deliver products .
  • Build scalable, low-latency, and fault-tolerant systems to serve recommendations at scale.
  • Develop robust APIs and services to deliver real-time or batch recommendations (using Python, Go) .
  • Integrate ML models into backend services and production applications .
  • Optimize performance of model inference systems (e.g., using vector databases, caching, distributed serving).
  • Build and maintain CI/CD pipelines for model and service deployment .
  • Leverage modern monitoring/telemetry tools to identify, assess, and provide solutions to platform issues .
  • Stay up to date with the latest technology trends and bringing the best to the team.

Key Requirements and Technology Experience:

  • Key Skills; Go Programming, Machine Learning, Backend Development, Python.
  • 5+ years of experience in machine learning and backend software engineering.
  • Strong experience building recommendation systems in a real-world production setting.
  • Proficiency in at least one backend programming language (e.g., Go, Java) and Python
  • Deep understanding of recommendation algorithms, user modeling, embeddings, and similarity search .
  • Experience with ML pipeline tools (e.g., MLflow, Kubeflow, Airflow) .
  • Familiarity with serving architectures (e.g., REST/gRPC APIs, model servers) .
  • Strong grasp of distributed systems, microservices, and system design .
  • Experience with SQL and NoSQL databases and working with large-scale datasets Preferred Qualifications.
  • Experience with real-time recommendations (e.g., using Kafka, Redis, or Pub/Sub systems).
  • Experience with personalization strategies, ranking models, or reinforcement learning.
  • Exposure to experimentation platforms and online A/B testing.

Our client is a leading IT Industry, and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration.

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