Machine Learning Engineer - Data Modeling

Job Description :

We're seeking a Machine Learning Engineer who develops ML models for core product development. The ideal candidate will have a strong background in machine learning fundamentals while possessing the skills to build and deploy ML models. Experience with Generative AI and Agentic AI concepts would be advantageous.

Key Responsibilities :

• Develop and deploy machine learning models and systems with a focus on product integration
• Collaborate with leads to understand the requirements and convert them to ML models
• Build and optimize ML pipelines for training, evaluation, and deployment
• Implement ML best practices
• Work with generative AI technologies to create product features

Required Qualifications :

6+ years of experience in building and deploying ML models in production environments

Strong foundation in machine learning algorithms, frameworks, and techniques

Experience with at least one deep learning framework (PyTorch, TensorFlow, etc.)

Proficiency in Python and related ML / data libraries (scikit-learn, pandas, numpy)

Demonstrated experience integrating ML capabilities into user-facing products

Understanding of ML operations, including model serving, monitoring, and maintenance

Experience with generative AI concepts, including large language models, diffusion models, or other generative architectures

Preferred Qualifications :

Experience with prompt engineering and fine-tuning large language models

Knowledge of vector databases and retrieval-augmented generation

Experience with cloud platforms (AWS, GCP, Azure) for ML workloads

Familiarity with container orchestration technologies (Kubernetes, Docker)

Technical Skills : Core Technologies :

Python

PyTorch, Tensorflow

Scikit-learn, pandas, numpy

Azure Cloud

Generative AI Frameworks

API frameworks (FAST, Flask, etc.)

Nice to Have :

AWS Cloud

GCP Cloud

Docker / Kubernetes

CI / CD Pipelines

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