HI
AI ML Engineer
Han IT Staffing
- Location not stated
- Mid level
- 10 months ago
- AI/ML
- AI
- Machine Learning
- Large Language Models
- Gemini
- Amazon Bedrock
- MLOps
- MLflow
- Python
- Core ML
- PyTorch
- TensorFlow
- scikit-learn
- GCP
- AWS
- Azure
10 months ago
Location:Remote
Duration:Long-term Contract
Job Description:
We are seeking an innovative and results-oriented Mid-Level AI/ML Engineer to join our dynamic team. This role is crucial for transforming Client concepts into robust, production-ready AI solutions. The ideal candidate possesses a strong background in Machine Learning engineering, extensive experience with cutting-edge LLMs and cloud-based AI services, and a commitment to maintaining high-quality, responsible AI systems.
Key Responsibilities:
Full ML Lifecycle Management: Drive projects from initial ideation to production deployment, including data pipeline development, model training, validation, and serving.
LLM & Agentic Development: Design, implement, and optimize solutions utilizing Large Language Models (LLMs) and developing sophisticated Agentic AI systems to solve complex business problems.
Platform Expertise: Leverage and integrate core generative AI platforms, including Gemini and Amazon Bedrock, to build scalable and efficient solutions.
MLOps & Tools: Implement MLOps best practices, utilizing tools like MLFlow for experiment tracking, model versioning, and pipeline orchestration.
Quality Assurance: Develop and execute comprehensive testing strategies for LLM applications, including utilizing frameworks like DeepEval for prompt engineering and model output quality.
Analytical Skill: Apply strong analytical skills to evaluate model performance, diagnose issues, and iterate on solutions to achieve maximum business impact.
Collaboration: Work closely with cross-functional teams (data scientists, product managers, and software engineers) to define requirements and deliver integrated AI features.
Required Qualifications:
·Experience: 10+ years of professional experience in Machine Learning Engineering, AI Development, or a closely related field.
·Education: Master's degree in Computer Science, Data Science, Engineering, or a quantitative field.
Technical Proficiency:
· Expertise in Python and core ML/Data Science libraries (e.g., PyTorch, TensorFlow, Scikit-learn)
· Proven experience in deploying models on major cloud platforms (GCP, AWS, or Azure).
· Deep understanding of the architecture and fine-tuning of Large Language Models
·Domain Knowledge: Practical experience with MLOps tools (e.g., MLFlow) and validation frameworks (e.g., DeepEval).
·Problem Solving: Demonstrated ability to apply analytical skills to complex, ambiguous problems and translate insights into actionable engineering solutions.
Preferred Qualifications:
· Hands-on experience developing applications or services using Google's Gemini API or models.
· Direct experience with AWS services related to AI/ML, particularly Amazon Bedrock.
· Experience in building and managing multi-step, reasoning-based Agentic AI systems.
· Prior experience in optimizing models for latency and cost efficiency in a production environment.
AI ML Engineer · Han IT Staffing