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.

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