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Rnn Jobs (NOW HIRING)

... R-CNN, RNN, BERT, GAN, autoencoders, etc.) and experience in developing or using major deep learning frameworks (e.g., PyTorch, Tensorflow, etc). • Experience with solving and using machine ...

Solid understanding of DL fundamentals, including RNN, CNN, and multi-modal models * Familiarity with video processing pipelines and audio pipelines * AI literacy and curiosity-whether through ...

AI/ML knowledge (required): familiar with classic + modern model families and how they're used in products (e.g., CNN/RNN/Transformer, LLMs, multimodal models). Can reason about capabilities ...

AI/ML knowledge (required): familiar with classic + modern model families and how they're used in products (e.g., CNN/RNN/Transformer, LLMs, multimodal models). Can reason about capabilities ...

We are seeking a Registered Nurse (RNN) in Hillsborough, NJ. The RN delivers care to individuals in a community setting utilizing the nursing process of assessment, planning, intervention ...

Experience with neural network approaches to text classification CNN, RNN, LSTM,Keras * Machine Learning algorithms? Neural Networks, Naïve Bayes, Bagging & Boosting, Random Forest * Distributed ...

We are seeking a Registered Nurse (RNN) in Hillsborough, NJ. The RN delivers care to individuals in a community setting utilizing the nursing process of assessment, planning, intervention ...

Experience with neural network approaches to text classification CNN, RNN, LSTM,Keras * Machine Learning algorithms? Neural Networks, Naïve Bayes, Bagging & Boosting, Random Forest * Distributed ...

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Rnn information

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$8

$46

$84

How much do rnn jobs pay per hour?

As of Jun 8, 2026, the average hourly pay for rnn in the United States is $46.63, according to ZipRecruiter salary data. Most workers in this role earn between $22.12 and $67.31 per hour, depending on experience, location, and employer.

What are RNNs?

Recurrent Neural Networks (RNNs) are a type of artificial neural network designed to recognize patterns in sequences of data, such as time series, text, or speech. Unlike traditional neural networks, RNNs have loops that allow information to persist, making them well-suited for tasks where context and order are important. They are widely used in applications like language modeling, machine translation, and speech recognition. However, RNNs can struggle with long-term dependencies due to issues like vanishing gradients, which has led to the development of advanced architectures like LSTM and GRU.

What are some typical challenges faced by professionals working with Recurrent Neural Networks (RNNs) in real-world projects?

One common challenge for professionals working with RNNs is managing issues related to vanishing and exploding gradients, which can make training deep RNNs difficult. Additionally, handling long sequences and ensuring the model captures long-term dependencies often requires careful architecture choices or enhancements like LSTM or GRU units. Real-world data can also be noisy and require significant preprocessing. Collaboration with data engineers and domain experts is essential to ensure data quality and relevance for model training.

What is the difference between Rnn vs Data Scientist?

AspectRnnData Scientist
Required CredentialsDegree in Computer Science, Machine Learning, or related fields; knowledge of neural networksDegree in Statistics, Computer Science, or related fields; strong analytical skills
Work EnvironmentResearch labs, AI development teams, tech companiesBusiness environments, consulting firms, tech companies
Industry UsageAI, Machine Learning, Deep Learning projectsData analysis, predictive modeling, business insights

Rnn (Recurrent Neural Network) specialists focus on developing neural network models for sequence data, often within AI and machine learning projects. Data Scientists analyze data to extract insights and build predictive models across various industries. While both roles require technical skills, Rnn experts are more specialized in neural network architectures, whereas Data Scientists have broader analytical expertise.

What are the key skills and qualifications needed to thrive as an RNN (Recurrent Neural Network) Engineer, and why are they important?

To thrive as an RNN Engineer, you need a strong background in machine learning, deep learning, and mathematics, typically supported by a degree in computer science or a related field. Proficiency with Python, TensorFlow, PyTorch, and relevant ML frameworks, along with experience in sequence modeling, is essential. Analytical thinking, problem-solving skills, and effective collaboration make someone stand out in this position. These skills ensure the successful design and deployment of robust RNN models for tasks like language processing and time-series forecasting.

Is RNN Group a good company to work for?

RNN Group is a social housing provider and not a typical employer for job roles like RNN. If you are referring to a specific job role, such as a Recurrent Neural Network (RNN) developer, the job environment depends on the employer and industry standards. It's advisable to research the specific company or role for detailed insights.
More about Rnn jobs
What cities are hiring for Rnn jobs? Cities with the most Rnn job openings:
What states have the most Rnn jobs? States with the most job openings for Rnn jobs include:
Infographic showing various Rnn job openings in the United States as of May 2026, with employment types broken down into 94% Full Time, 2% Part Time, 2% Temporary, and 2% Contract. Highlights an 80% Physical, and 20% Remote job distribution, with an average salary of $96,996 per year, or $46.6 per hour.
Machine learning Engineer

$105K - $125K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 11 days ago


Tata Consultancy Services rating

6.5

Company rating: 6.5 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

154th of 203 rated it services


Job description

Must Have Technical/Functional Skills
MLOps & Deployment:
CI/CD for ML, MLflow/Kubeflow/SageMaker/Azure ML
Model versioning, monitoring, retraining workflows
Docker, Kubernetes for deployment
Programming & Cloud:
Strong Python (NumPy, pandas, scikit-learn, PyTorch/TensorFlow)
Experience on AWS/Azure/GCP ML services
Roles & Responsibilities
Looking for a strong hands-on ML Engineer with deep experience in data science, model development, and building scalable data/ML pipelines. Candidate must be technically solid, execution-focused, and able to deliver production-ready ML solutions.
Core Technical Skills Needed
ML Model Development:
Supervised models: Logistic Regression, Random Forest, XGBoost/LightGBM, SVMs
Deep learning: Neural Networks, CNN/RNN, Transformers (PyTorch or TensorFlow) Classification models and evaluation techniques (AUC, ROC, precision/recall, cross-validation)
Data Preparation & Feature Engineering: Data cleaning, handling missing values & outliers Feature scaling, encoding, time-series feature generation Strong EDA and statistical analysis skills
Data Pipeline Engineering: Build and maintain ML/data pipelines using Spark, Databricks, Airflow Data ingestion, transformation, validation (Great Expectations preferred)
MLOps & Deployment: CI/CD for ML, MLflow/Kubeflow/SageMaker/Azure ML
Model versioning, monitoring, retraining workflows
Docker, Kubernetes for deployment
Programming & Cloud: Strong Python (NumPy, pandas, scikit-learn, PyTorch/TensorFlow)
Experience on AWS/Azure/GCP ML services
TCS Employee Benefits Summary:
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
Salary Range: $105,000 - $125,000 a year


What Tata Consultancy Services employees say

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About Tata Consultancy Services

Sourced by ZipRecruiter

Tata Consultancy Services is an IT services, consulting and business solutions organization that delivers real results to global business, ensuring a level of certainty no other firm can match. TCS offers a consulting-led, integrated portfolio of IT, BPO, infrastructure, engineering, and assurance services. This is delivered through its unique Global Network Delivery Model™, recognized as the benchmark of excellence in software development. TCS delivers a level of certainty that no other firm can match--to our clients and to our employees. Come join us and experience certainty in your career. TCS a global Consulting and IT Services firm that is ranked in the top quartile by industry analysts. Our 2021 fiscal revenues topped $25 B and our market capitalization is over $170+B, yet we have a deep and large history of philanthropy and corporate social responsibility. Now approaching 600K of the best IT professionals and consultants, we are a trusted advisor, guiding our clients' enterprises through growth and transformation journeys - helping them to become agile, intelligent, automated and on the cloud. We are devoted to DEI and are recognized as a top employer and place to work.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Edison, NJ, US