We are looking for a Senior Machine Learning Engineer with strong expertise in building, deploying, and scaling ML solutions for SaaS and enterprise applications. The role involves designing end-to-end ML pipelines, collaborating with cross-functional teams, and ensuring high-quality, scalable, and reliable ML-driven systems.
Key Responsibilities:
Develop and optimize machine learning models for enterprise solutions.
Build production-ready ML pipelines for training, deployment, and monitoring.
Collaborate with product, data, and engineering teams to deliver ML features.
Ensure systems meet scalability, performance, and security standards.
Mentor team members and uphold best practices in ML engineering.
Required Skills:
8+ years of experience in ML engineering/software development.
Expertise in ML techniques (classification, regression, clustering, recommendations).
Proficiency in Python, TensorFlow, PyTorch, or scikit-learn.
Experience with data processing frameworks (Spark, Hadoop).
Knowledge of CI/CD, testing, and version control.
Advanced degree (MS/PhD in CS, ML, or related) preferred.
Preferred Skills:
Cloud experience (AWS, GCP, Azure).
MLOps tools (MLflow, Kubeflow, Airflow, Docker, Kubernetes).
Strong system design and architecture knowledge.
Good communication and collaboration skills.
What We Offer:
Opportunity to work on impactful enterprise ML projects.
Competitive compensation.
Flexible work environment.
Job Type: Contractual / Temporary
Contract length: 6 months
Work Location: Remote
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