| ML AI Developer || New York, New York || Contract at York, New York, USA |
| Email: [email protected] |
| From: Mirza Jameel Baig, Talent Groups [email protected] Reply to: [email protected] Hi, My name is Jameel, and I represent Talent Groups, a staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. We have excellent domain expertise in all verticals. Repositioning professionals is what we do, and we do it very well. I am reaching out to you today as your profile matches an immediate job opportunity we have with our premier client. Please look at the job description below and let me know your interest. Title: ML/AI Developer Work location : New York, New York Duration: 6+ Months Contract Job Description: Responsibilities: Designing and developing machine learning systems, implementing appropriate ML algorithms, conducting experiments, and staying updated with the latest developments in the field. Create data models, perform statistical analysis, and train and retrain systems to optimize performance. build efficient self-learning applications and contribute to advancements in artificial intelligence. Run machine learning tests and experiments. Implement appropriate ML algorithms. Use GPU for training, distributed computing PySpark, and parallel compute in libraries in python. Provide understanding of how components and processes work together and communicate with each other using library calls, REST APIs queueing/messaging systems and database queries. Provide system design to avoid bottlenecks to let algorithms scale well with increasing volumes of data. Basic Qualifications: 5+ years of experience in the following : PyTorch, NLTK, SciPy, Scikit-Learn, NumPy, OpenCV or equivalent for image preprocessing. SQL/NoSQL databases and queries One or more ML toolkits or Python frameworks Deep Learning concepts Apply standard implementations of machine learning algorithms effectively by choosing a suitable model such as decision tree, knn, neural net, or an ensemble of multiple models Nice to have: Understanding of probability and statistics and machine learning concepts such as precision, recall, optimization, hyperparameter tuning, overfitting, and interpretability Coding best practices, OOD/OOP, modular design, SOA, and systems architecture Technical Skills: Python, PySpark, or R programming language for coding Kubernetes and docker for deployment AWS sage maker, or EC2 instances for cloud MYSQL, Oracle, MongoDB, or Redshift DB for database Cloudera Distributed Platform for computing & deployment. deep learning/neural networks packages like PyTorch, TensorFlow in python, and use GPU. for training distributed computing PySpark and parallel compute in libraries in python Keywords: artificial intelligence machine learning access management database rlang information technology |
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| Tue Jan 09 22:59:00 UTC 2024 |