Senior AI/ML Engineer- NLP/Python

Position:

Experience

Location

Job Type:

Salary:

Key Responsibilities :

- Design, develop, and deploy AI/ML models for real-world applications.

- Work with NLP, deep learning, and traditional ML algorithms to solve complex business problems.

- Develop end-to-end ML pipelines, including data preprocessing, feature engineering, model training, and deployment.

- Optimize model performance using hyperparameter tuning and model evaluation techniques.

- Implement AI-driven solutions using TensorFlow, PyTorch, Scikit-learn, OpenAI APIs, Hugging Face, and similar frameworks.

- Work with structured and unstructured data, performing data wrangling, transformation, and feature extraction.

- Deploy models in cloud environments (AWS, Azure, or GCP) using SageMaker, Vertex AI, or Azure ML.

- Collaborate with cross-functional teams to integrate AI models into production systems.

- Ensure scalability, performance, and efficiency of AI/ML solutions.

- Stay updated with emerging AI trends and technologies to drive innovation.

Required Skills :

- Strong experience in machine learning, deep learning, NLP, and AI model development.

- Implement Retrieval-Augmented Generation (RAG) using vector databases

- Proficiency in Python, TensorFlow, PyTorch, Scikit-learn, and OpenAI GPT models.

- Expertise in NLP techniques (Word2Vec, BERT, transformers, LLMs, text classification).

- Hands-on experience with computer vision (CNNs, OpenCV, YOLO, custom object detection models).

- Solid understanding of ML model deployment and MLOps (Docker, Kubernetes, CI/CD for ML models).

- Experience in working with cloud platforms (AWS, Azure, GCP) for AI/ML model deployment.

- Strong knowledge of SQL, NoSQL databases, and big data processing tools (PySpark, Databricks, Hadoop, Kafka, etc.

- Familiarity with API development using Django, Flask, or FastAPI for AI solutions.

- Strong problem-solving, analytical, and communication skills.

Preferred Skills :

- Experience with AI-powered chatbots and OpenAI API integration.

- Exposure to LLMs (GPT, LLaMA, Falcon, etc.) for real-world applications.

- Hands-on experience in generative AI models.