Machine Learning & NLP Engineer

Job Title:

Job Location:

Experience Required:

Key Responsibilities

• Design and implement Machine Learning (ML) and Deep Learning (DL) models for diverse business use cases.
• Collaborate with cross-functional teams to understand business goals and translate them into scalable ML solutions.
• Develop and fine-tune Natural Language Processing (NLP) models, especially using transformer architectures.
• Optimize model performance for production environments, ensuring low latency and scalability.
• Deploy models using containerization (Docker) and orchestration tools (Kubernetes).
• Implement CI/CD pipelines and maintain high-quality, version-controlled code.
• Create clear documentation for models, workflows, and processes to ensure transparency and reusability.
  

Required Skills & Qualifications

Programming & Frameworks:

• Strong command of Python
• Practical experience with:
• PyTorch
• TensorFlow
• Hugging Face Transformers
• LangChain
  

Machine Learning & Deep Learning

• In-depth understanding of:
• Supervised, unsupervised, and reinforcement learning
• Neural architectures: CNNs, RNNs, Transformers
• Expertise in:
• Tokenization, embeddings, attention mechanisms
• Transformer models such as GPT, BERT, T5, etc.
• Prompt engineering and fine-tuning Large Language Models (LLMs)
  

Model Deployment & Infrastructure

• Hands-on experience with:
• Docker, Kubernetes
• Serving models via FastAPI, Flask, or TorchServe
• Building and integrating REST APIs
  

Cloud Platforms

• Familiarity with cloud services from:
• AWS
• Azure
• Google Cloud Platform (GCP)
  

Version Control & CI/CD

• Proficient in:
• Git
• GitHub Actions, Jenkins
• Creating and managing CI/CD pipelines