Data Scientist

Onsite 3 times per week in Mahwah, New Jersey 07430

Locals only in NJ

Sr. ML/Data Scientist w/ GCP

Contract until end of the year with extensions

Interview Mode : In-person interview required(candidates local to New Jersey only)

Job Description :

• Design and implement machine learning models and pipelines for real-world applications.

• Build and maintain robust ML pipelines using tools like Vertex AI Pipelines and Terraform for infrastructure-as-code.

• Develop CI/CD templates and configuration management for ML workflows.

• Implement onboarding and monitoring processes for deployed ML models.

• Integrate and manage knowledge graphs and vector databases to support semantic search and retrieval-augmented generation (RAG) systems.

• Collaborate with cross-functional teams to translate business problems into ML solutions.

• Develop and maintain scalable data pipelines and model serving infrastructure.

• Conduct rigorous testing, validation, and performance tuning of models.

• Contribute to architecture design, code reviews, and technical roadmaps.

• Stay current with the latest ML research and tools and apply them pragmatically.

• Mentor junior engineers and promote best practices in ML engineering.

Mandatory Skills:

• Bachelor's or master's degree in computer science, Engineering, Mathematics, or a related field. PhD is a plus.

•7+ years of experience in machine learning, data science, or AI engineering.

• Proficient in Python and libraries like Scikit-learn, TensorFlow, PyTorch, XGBoost, etc.

• Strong understanding of machine learning algorithms, deep learning architectures, and statistical methods.

• Hands-on experience building and deploying ML models in cloud environments (GCP, AWS, or Azure).

• Experience with containerization tools (Docker, Kubernetes) and ML workflow tools (MLflow, TFX).

• Familiarity with big data technologies such as Spark, Hive, or Hadoop.

• Experience with Google Vertex AI and writing Terraform scripts for infrastructure automation.

• Experience with CI/CD pipelines, configuration management, and onboarding/monitoring of ML systems.

• Experience working with knowledge graphs and vector databases (e.g., Neo4j, Weaviate, Pinecone, FAISS).

• Strong understanding of data and AI pipeline configuration and orchestration.