Matrix Marketers

1 week ago

Sahibzada Ajit Singh Nagar, India Matrix Marketers Full time

Job Summary :We are looking for an AI/ML Engineer with 4 years of experience in designing, developing, and deploying machine learning and artificial intelligence solutions. The right candidate will have a solid background in algorithms, data pipelines, and model optimization, along with practical experience in production-level ML Responsibilities :- Design, build, and deploy scalable machine learning models and AI solutions.- Work with various teams to gather requirements, understand business challenges, and provide AI-driven insights.- Preprocess, clean, and analyze large datasets to create reliable models.- Develop and implement deep learning and NLP-based models for real-world applications.- Improve model performance and ensure efficient use in production environments.- Maintain, monitor, and enhance existing ML models.- Collaborate with data engineers to develop data pipelines and MLOps workflows.- Research and evaluate new AI/ML frameworks, tools, and techniques to improve solutions.- Document technical designs, workflows, and Skills & Qualifications :- Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or a related field.- 4+ years of experience as an AI/ML Engineer or in a similar role.- Strong programming skills in Python (TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy).- Practical experience with ML algorithms (supervised, unsupervised, reinforcement learning, NLP, computer vision).- Experience with deep learning architectures (CNNs, RNNs, Transformers, LSTMs, GANs).- Proficiency in handling large datasets using SQL, Spark, or Hadoop.- Understanding of MLOps practices (Docker, Kubernetes, MLflow, Airflow, or Kubeflow).- Familiarity with cloud platforms (AWS, Azure, GCP) for ML/AI services.- Strong problem-solving and analytical thinking abilities.- Good communication and teamwork Qualifications (Good to Have) :- Experience with LLMs (Large Language Models) and fine-tuning.- Knowledge of vector databases and AI search technologies.- Exposure to edge AI or embedded ML.- Experience in deploying ML models through REST APIs or microservices.- Published research papers or contributions to open-source ML projects. (ref:hirist.tech)

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