HI
AI/ML
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
We are seeking an innovative and results-oriented Mid-LevelAI/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 initialideation to production deployment, including data pipeline development, model training, validation, and serving.
- LLM & Agentic Development: Design, implement, and optimize solutions utilizingLarge Language Models (LLMs) and developing sophisticatedAgentic AI systems to solve complex business problems.
- Platform Expertise: Leverage and integrate core generative AI platforms, includingGemini andAmazon Bedrock, to build scalable and efficient solutions.
- MLOps & Tools: Implement MLOps best practices, utilizing tools likeMLFlow for experiment tracking, model versioning, and pipeline orchestration.
- Quality Assurance: Develop and execute comprehensive testing strategies for LLM applications, including utilizing frameworks likeDeepEval for prompt engineering and model output quality.
- Analytical Skill: Apply stronganalytical 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.
- Experience: 4-7 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 applyanalytical skills to complex, ambiguous problems and translate insights into actionable engineering solutions.
- Hands-on experience developing applications or services using Google'sGemini API or models.
- Direct experience with AWS services related to AI/ML, particularlyAmazon Bedrock.
- Experience in building and managing multi-step, reasoning-basedAgentic AI systems.
- Prior experience in optimizing models for latency and cost efficiency in a production environment.
AI/ML · Han IT Staffing