We are seeking a highly skilled Senior AI/ML Engineer with extensive expertise in machine learning, deep learning, and AI model development. You will be responsible for designing, developing, and deploying end-to-end AI/ML models, with a strong focus on NLP and Python. This role requires proficiency in frameworks like TensorFlow and PyTorch, and experience with cloud-based AI solutions to solve complex business problems.
Roles & 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.
Skills Required:
- Strong experience in machine learning, deep learning, NLP, and AI model development.
- Proficiency in Python, TensorFlow, PyTorch, and Scikit-learn.
- Expertise in NLP techniques (Word2Vec, BERT, transformers, LLMs, text classification).
- Hands-on experience with computer vision (CNNs, OpenCV, YOLO, custom object detection models) is a plus.
- 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.
- Experience with AI-powered chatbots, OpenAI API integration, and exposure to LLMs (GPT, LLaMA, Falcon, etc.) for real-world applications is a plus.
- Hands-on experience in generative AI models is a plus.
QUALIFICATION:
- Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
