Senior ML Engineer

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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