Generative AI Engineer

Hi
Hope you are doing well. I had a chance to review your profile and wanted to discuss about a Fulltime Hire position with our client a major Systems Integrator.
Please go through the below mentioned JD and let me know if you would be interested to explore the opportunity.

Position 1

Job Title: Generative AI Engineer

Location: Warren MI ( Onsite )

Duration: Fulltime Hire

Job Description

Programming: Expert-level proficiency in Python.

ML Frameworks: Extensive experience with PyTorch (strongly preferred) and/or TensorFlow.

LLMs & NLP: Hands-on experience working with Large Language Models (e.g. via OpenAI API Hugging Face Transformers LangChain LlamaIndex or custom models). Deep understanding of NLP concepts (tokenization embeddings attention mechanisms).

Cloud & MLOps: Proven experience with cloud platforms (AWS GCP or Azure) and MLOps tools (e.g. Docker Kubernetes MLflow Weights & Biases TFX).

Problem-Solving: Strong analytical and problem-solving skills with the ability to iterate quickly from experimentation to production-ready solutions

Design & Development: Architect train fine-tune and optimize large generative models (e.g. LLMs like GPT diffusion models like Stable Diffusion VAEs GANs) for specific use cases.

End-to-End Pipeline Ownership: Build robust scalable data pipelines for pre-processing and curating massive training datasets.

Model Deployment & MLOps: Implement and manage MLOps practices to deploy models into production ensuring scalability low latency and high reliability. This includes containerization API development and continuous integration/continuous deployment (CI/CD).

Performance Optimization: Apply advanced techniques like Retrieval-Augmented Generation (RAG) fine-tuning quantization and distillation to improve model efficiency accuracy and cost-effectiveness.

Research & Innovation: Stay current with the latest academic research and open-source advancements in generative AI. Prototype new ideas and conduct experiments to validate their feasibility and impact.

Collaboration: Work closely with product managers data scientists and software engineers to integrate generative AI capabilities into our products and platforms.

Position 2

Job Title: Machine Learning Engineer

Location: Warren MI ( Onsite )

Duration: Fulltime Hire

Job Description

Develop and deploy machine learning models that process and analyze IoT (Internet of Things) signal data.

Work with large-scale sensor data from connected devices to build predictive models anomaly detection systems and real-time decision-making algorithms. The ideal candidate should have a strong background in signal processing deep learning edge AI time-series analysis and ML model deployment in IoT environments.

Investigate state-of-the-art ML/DL techniques analysis.

Develop novel approaches for unsupervised/semi-supervised learning in low-label IoT environments.

Explore federated learning continual learning and reinforcement learning for adaptive IoT systems.

Proficiency in Python TensorFlow/PyTorch and scikit-learn.

Experience with signal processing libraries (SciPy librosa PyWavelets).

Familiarity with IoT protocols (MQTT CoAP) and edge computing.

Thanks & Regards

Sumit Goyal

Sr. Technical Recruiter