
Senior Machine Learning Engineer
3 weeks ago
We are seeking a highly skilled Senior Machine Learning Engineer to join our team at Century Interactive Company LC. As a key member of our engineering team, you will be responsible for designing, developing, and deploying NLP and LLM-powered models that drive key products and business functions.
Key Responsibilities:- Lead the design, development, and deployment of NLP and LLM-powered models that drive key products and business functions.
- Turn cutting-edge models into production-ready, scalable solutions, ensuring seamless integration into our applications.
- Build APIs and pipelines that power AI-driven insights from a variety of data sources like call transcriptions and enable our products to understand and process natural language data, including text classification, conversational AI, and document analysis.
- Collaborate with product teams, engineers, and other stakeholders to drive the vision and execution of ML-powered solutions.
- Ensure MLOps best practices are followed, with a focus on model monitoring, versioning, and retraining workflows.
- Serve as a technical mentor through code reviews, pair programming, and guidance on best practices.
- A relentless passion for learning, growth, and excellence in the field of machine learning.
- 5+ years of experience in machine learning engineering with a focus on NLP and LLM technologies (e.g., BERT, GPT, or similar transformer models).
- Proven experience in building and deploying large-scale NLP models for real-world applications.
- Expertise in turning research-based models into scalable, production-level solutions.
- Strong programming skills in Python, with deep familiarity in libraries like TensorFlow, PyTorch, or Hugging Face.
- Experience with cloud-based infrastructures (AWS, Azure, GCP) and tools like Kubernetes, Docker, and MLflow.
- A team-oriented mindset, with a passion for collaborating and mentoring others.
- Hands-on experience with data engineering tasks such as data pipelines, ETL processes, and working with big data technologies like Spark.
- Familiarity with MLOps tools and practices, including continuous integration/deployment pipelines for machine learning applications.
- Expertise in automation of model retraining and ensuring long-term scalability and performance of deployed models.
- Experience with the automotive sales industry, voice recognition, or call center technologies.
We offer a competitive salary ranging from $150,000 to $200,000 based on experience, medical and dental insurance options, company-provided Long Term Disability and Life Insurance, 401k with company match, a monthly wellness allowance, reading stipend, and other perks to ensure a healthy work-life balance.
Clear opportunities for career growth with mentorship from senior leaders, an exciting, collaborative work environment with regular team-building activities, and company events.
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