Design, build, and ship production-grade ML systems including LLMs, RAG pipelines, and agentic workflows. Architect scalable inference APIs, data pipelines, and MLOps infrastructure on cloud platforms. Requires 7+ years software engineering and 5+ years production AI/ML experience with strong Python and PyTorch/TensorFlow skills.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
I’m helping Dragon Soft find a top candidate to join their team part-time for the role of Senior AI/ML Engineer (Remote).
You'll architect and ship production ML systems, shaping strategy and driving real product impact.
Compensation:
USD 40 - 70/hour
Location:
Remote (anywhere)
Mission of Dragon Soft:
""
What makes you a strong candidate:
- You are proficient in Vertex AI, TensorFlow, Python, PyTorch, Natural language processing (NLP), Microsoft Azure, MLflow, MLOps.
- You have the potential to develop in Pinecone, Flink, Apache Kafka.
- English - Conversational
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Responsibilities and more:
We are looking for a Senior AI/ML Engineer to design, build, and ship production-grade machine learning systems used by real customers. This is a high-ownership role where you will drive architecture decisions and shape ML strategy from end to end.
Responsibilities:
- Production ML systems (NLP, Computer Vision, Recommendations, LLMs).
- Fine-tuning LLMs, RAG pipelines, and agentic workflows.
- Model deployment, monitoring, and MLOps.
- Data pipelines, feature stores, and training infrastructure.
- APIs, scalable inference systems, and cloud platforms.
- Mentoring engineers and influencing technical direction.
Requirements:
- 7+ years of software engineering experience.
- 5+ years of production AI/ML experience.
- Strong Python + PyTorch/TensorFlow.
- Experience with LLMs, CV, NLP, or recommendation systems.
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- MLOps tools: MLflow, W&B, Kubeflow, SageMaker, Vertex AI.
- AWS / GCP / Azure + Docker & Kubernetes.
- Strong communication skills.
Nice to Have:
- Vector DBs (Pinecone, Weaviate, Qdrant, pgvector).
- Open-source contributions or research.
- Kafka/Flink or real-time ML systems.
- Edge/on-device ML experience.
What we offer:
- Fully Remote + Flexible Hours.
- Competitive USD Compensation.
- Real Product Impact.
- Small Senior Team – No Bureaucracy.
To apply: Send your CV along with a short note describing the most technically challenging ML system you have shipped to production — what you built, the scale, and what made it challenging.
Your potential leader(s):
- Zohaib iqbal -
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