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.Skills Required
Python, Tensorflow, Pytorch, Machine Learning, Computer Vision