Senior AI​/ML Engineer - NLP​/Deep Learning

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  Tensor Flow 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  Tensor Flow, 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 Sage Maker, 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, Tensor Flow, PyTorch , and  Scikit-learn .
Expertise in  NLP techniques  (Word2

Vec, 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, No

SQL 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.