Nexify InfosystemsRemote
Senior Data Science and Machine Learning Engineer
United States
Full-time
3 hours ago
H1B Sponsor Likely
Key skills
PythonSQLNoSQLAIMachine LearningMLDeep LearningGenerative AILLMLarge Language ModelsPyTorchTensorFlowPandasNumPyData EngineeringAnalyticsAWSAzureGCPKubernetesDockerPostgreSQLMySQLGitVersion ControlCI/CDLeadershipMentoringA/B TestingCommunicationCollaboration
About this role
Nexify Infosystems is seeking a Senior Data Science Engineer to design, build, and scale data-driven systems that power advanced analytics and machine learning. This role will involve developing and maintaining machine learning models, collaborating with various teams, and mentoring junior engineers while influencing the company's AI and data strategy.
Responsibilities:
- Develop, deploy, and maintain machine learning models in production environments
- Collaborate with data scientists, analysts, and product managers to define and deliver data-driven features
- Ensure high-quality data through monitoring, validation, and robust testing frameworks
- Architect and maintain data platforms and tools for experimentation, model serving, and feature engineering
- Explore and integrate Large Language Models (LLMs) and other generative AI approaches into business applications and data workflows
- Contribute to code reviews, technical design discussions, and best practices for the team
- Mentor and guide junior engineers/data scientists, fostering technical excellence and career growth
- Stay current with emerging technologies in Data Science, Machine Learning, LLM Ops, ML Ops
Requirements:
- Must have 12+ years of experience
- Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field
- 5+ years of experience in data engineering, machine learning engineering, or related roles
- Strong proficiency in Python (Pandas, NumPy, PySpark, or similar)
- Solid understanding of ML model development, training, and deployment pipelines
- Experience with ML model monitoring and observability frameworks
- Experience with deep learning frameworks (TensorFlow, PyTorch)
- Familiarity with CI/CD, version control (Git), and modern ML Ops practices
- Strong problem-solving and analytical skills
- Excellent communication and collaboration abilities across technical and non-technical teams
- Leadership qualities and the ability to drive projects independently
- Master's degree or PhD is a strong plus
- Contributions to open-source Data Science / Machine Learning libraries or frameworks
- Hands-on experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes)
- Proficiency with SQL and database systems (PostgreSQL, MySQL, or NoSQL alternatives)
- Exposure to data governance, security, and compliance requirements
- Knowledge of experiment design (A/B testing, causal inference)