CapeStart
Website:
capestart.com
Job details:
Role Overview
As a Mid-level ML Engineer, you will be a key driver in designing, developing, and deploying production-grade AI systems. You will work on traditional predictive models (ML), Deep Learning architectures (DL), and Generative AI solutions integrated into enterprise applications. This role requires a “Full-Stack” ML mindset—spanning from data engineering and model training to API development, model deployment, and GenAI orchestration.
Required Technical Skills
1. Machine Learning & Deep Learning (The Foundation)
- Strong proficiency in Python and its ecosystem (Pandas, NumPy, SciPy).
- Deep expertise in PyTorch or TensorFlow/Keras.
- Experience with classical ML algorithms and Deep Learning architectures including CNNs, RNNs, and Transformers.
2. Generative AI (The Trend)
- Hands-on experience with LLM APIs and open-weight/open-source models.
- Advanced Prompt Engineering techniques including Chain-of-Thought, ReAct, and Few-shot prompting.
- Knowledge of Vector Stores and hybrid search techniques (Keyword + Semantic Search).
3. Engineering & Ops (The Scale)
- Experience with MLOps concepts, model lifecycle management, and production monitoring.
- Proficiency in SQL and distributed data processing frameworks.
- Familiarity with cloud platforms such as AWS, Azure, or GCP.
- Experience building and consuming REST APIs for ML services.
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