TECEZE - Machine Learning Engineer - Generative AI

Job Description :

We are looking for a Gen AI and Machine Learning Engineer with strong expertise in building and deploying AI/ML models, especially in the emerging Generative AI landscape.

The ideal candidate should be well-versed with agentic frameworks, vector databases, and have hands-on experience working with LLMs and deep learning tools.

Key Responsibilities :

- Design, build, and deploy AI/ML, NLP/NLU, and deep learning models.

- Implement solutions using Generative AI tools such as OpenAI, Google Gemini, and Runway ML.

- Preprocess and analyze large, complex datasets to extract actionable insights.

- Develop RESTful APIs using Flask or Django to integrate models into scalable applications.

- Deploy models and services in cloud environments like AWS, Azure, or GCP.

- Monitor and retrain models post-deployment to ensure performance, scalability, and

robustness.

- Apply techniques in vector embeddings, vector databases, and LLMs for advanced NLP/NLU

tasks.

- Maintain comprehensive documentation of processes, experiments, and model performance.

Qualifications :

- Strong foundation in mathematics, statistics, and probability.

- Proficient in Python and SQL/NoSQL databases.

- Experience with Agentic AI frameworks and architectures.

- Hands-on knowledge of machine learning and deep learning frameworks.

- Familiarity with LLMs, Vector Databases, Embeddings

- Strong understanding of NLP/NLU algorithms and techniques.

- Proficient in building APIs using Flask or Django.

- Experienced with cloud platforms : AWS, Azure, or Google Cloud Platform (GCP).

Good-to-Have Skills :

- Experience with MLOps tools

- Familiarity with Docker, Kubernetes, and container orchestration.

- Exposure to frontend technologies

- Additional experience with Flask/Django for backend integration