Ai/ml Engineer

Description:

We are seeking an experienced AI/ML Engineer to design, develop, and deploy cutting-edge machine learning models and AI-driven solutions. The ideal candidate will have extensive experience in AI/ML, deep learning,

Key Responsibilities:
Model Development & Deployment:
Design, develop, and optimize machine learning and deep learning models using frameworks such as TensorFlow, PyTorch, or scikit-learn.
Deploy scalable ML solutions on cloud platforms like AWS, Azure, or GCP using services like SageMaker, Azure ML, or AI Platform.
Data Engineering & Preprocessing:
Build and maintain efficient data pipelines for structured and unstructured data using tools like Apache Spark, Kafka, and Airflow.
Conduct extensive data exploration, cleaning, and feature engineering.
AI/ML Applications:
Develop NLP applications like chatbots, text summarization, and sentiment analysis using transformers

Required Qualifications:

Bachelor’s/Master’s degree in Computer Science, Data Science, or related field.
5+ years of experience in AI/ML, including deploying production-grade models.
Proficiency in Python, R, or Java with strong knowledge of ML libraries and tools (e.g., TensorFlow, PyTorch, scikit-learn).
Expertise in machine learning algorithms, deep learning architectures, and statistical methods.
Strong understanding of data structures, algorithms, and software engineering principles.
Hands-on experience with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes).
Experience with MLOps tools for model tracking, versioning, and monitoring (e.g., MLflow, Kubeflow).
Proficient in using databases (SQL/NoSQL) and big data tools (e.g., Hadoop, Spark).
Familiarity with NLP techniques (e.g., transformers, word embeddings) and computer vision methods.