We are seeking a proactive and technically sharp AI/ML Engineer to join our distributed team. In this role, you will bridge the gap between experimental data science and production-grade software engineering. You will be responsible for developing, deploying, and maintaining machine learning models that solve real-world problems.
Experience Level: 1.6 – 3 Years
Work Mode: 100% Remote
Roles and Responsibilities :
Model Development: Design, train, and fine-tune machine learning models (Supervised, Unsupervised, and Deep Learning) to meet specific business objectives.
Generative AI Integration: Implement and optimize GenAI solutions, including LLM fine-tuning, Prompt Engineering, and building RAG (Retrieval-Augmented Generation) pipelines.
Production Deployment: Transition models from research environments to production using Docker and Kubernetes.
Data Engineering: Collaborate with data teams to build robust ETL pipelines and perform feature engineering on large-scale datasets.
MLOps & Monitoring: Use tools like MLflow or Weights & Biases to track experiments, monitor model drift, and ensure high performance in live environments.
Collaboration: Work closely with Product Managers and Backend Engineers to integrate AI features into our core applications.
Requirements and skills
Programming: Mastery of Python (specifically production-grade, object-oriented code) and SQL.
Frameworks: Hands-on experience with PyTorch, TensorFlow, or JAX.
ML.NET Proficiency: Deep understanding of the ML.NET framework for building custom machine learning models within C# or F# applications.
GenAI Stack: Familiarity with LangChain, Hugging Face Transformers, and vector databases (e.g., Pinecone, Milvus, or Weaviate).
Cloud Platforms: Experience deploying on AWS (SageMaker), GCP (Vertex AI), or Azure ML.
Math & Stats: Strong foundation in Linear Algebra, Probability, and Optimization algorithms.
Tools: Proficiency with Git, CI/CD pipelines, and API development (FastAPI/Flask).
Job Type: Full-time
Pay: Up to $800,000.00 per year
Benefits:
- Flexible schedule
- Paid time off
Work Location: Remote