Machine Learning Engineer
Company: Australia-Employment
Location: Springfield
Posted on: February 1, 2025
Job Description:
W2 Temp to Perm job working with top 100 fortune companies. Must
be US Citizen or Green card Holder - Fully Remote w/Occasional
Travel
- Consulting
- $65 - $100
- New York, NY
- RemoteWelcome! Please upload your resume and provide the
following information to apply.First NameLast NameEmail addressSMS
Consent AgreementYes, I consent to having Jobot contact me via
SMS.No, I DO NOT consent to having Jobot contact me via SMS.*Must
be US Citizen or Green Card Holder and reside within the United
States* *W2 only* - If you do not fit this criteria your
application will be immediately rejected.We are a forward-thinking
organization dedicated to delivering exceptional results in a
collaborative and innovative environment. With a strong focus on
delivering cutting-edge solutions we take pride in empowering our
team members to grow and excel in their careers. Our commitment to
excellence drives us to constantly evolve and stay ahead of
industry trends while maintaining a supportive and inclusive
workplace culture.
- Medical, Dental, Vision insurance provided by Jobot - 75% paid
by employer for employee, 25% by employer for dependents.
- Weekly pay
- Conversion to permanent employee with full benefits, 401k, and
more.We are looking for a skilled machine learning engineer with
expertise in PyTorch and TensorFlow to join our AI team. In this
role, you will focus on building, training, and deploying deep
learning models to tackle complex challenges across various
domains.Responsibilities:
- Design and optimize deep neural network architectures using
frameworks such as PyTorch, TensorFlow, and Keras.
- Train models on large structured and unstructured datasets
utilizing GPU/TPU infrastructure.
- Apply techniques like transfer learning and neural architecture
search to enhance model accuracy iteratively.
- Develop data pipelines to preprocess, clean, and transform
training data for models.
- Convert research implementations into production-ready models
while maintaining high accuracy.
- Monitor and continuously improve model performance in
production environments.
- Stay informed about the latest advancements in deep learning
and AI research.Requirements:
- 3+ years of experience developing AI/ML solutions with
Python.
- Strong understanding of deep learning concepts and techniques
such as CNNs, RNNs, LSTMs, etc.
- Extensive hands-on experience building models using PyTorch and
TensorFlow.
- Familiarity with AI model training/serving paradigms and MLOps,
including prompt engineering, retrieval-augmented generation (RAG),
and fine-tuning.
- Proficiency with common data science libraries like Pandas,
NumPy, and Scikit-Learn.
- Understanding of AI model interpretability and explainability
techniques.
- Bachelor's or Master's degree in Computer Science, AI,
Statistics, or a related field.
- Strong problem-solving and communication skills.
- This role is ideal for an engineer passionate about leveraging
advanced deep learning frameworks to create innovative AI solutions
and delivering impactful results.
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Keywords: Australia-Employment, Newton , Machine Learning Engineer, Engineering , Springfield, Massachusetts
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