Senior AI/ML Engineer

3 Months ago • 3-8 Years

Research Development

Job Description

The Senior AI/ML Engineer will be responsible for developing and optimizing machine learning models, implementing AI algorithms such as deep learning and natural language processing, and designing data pipelines for model training and deployment. This role involves collaborating with cross-functional teams to integrate AI solutions into products, researching emerging AI technologies, and ensuring the scalability and efficiency of AI models in production. Responsibilities also include troubleshooting and improving existing AI/ML systems. The ideal candidate will have proficiency in Python, TensorFlow, PyTorch, strong data handling skills, and experience with cloud platforms and containerization.

Good To Have:

Hypothesis Testing
T-Test, Z-Test
Regression (Linear, Logistic)
Python/PySpark
SAS/SPSS
Statistical analysis and computing
Probabilistic Graph Models
Great Expectation
Evidently AI
Forecasting (Exponential Smoothing, ARIMA, ARIMAX)
Tools (KubeFlow, BentoML)
Classification (Decision Trees, SVM)
ML Frameworks (Sci-Kit Learn, CNTK, Keras, MXNet)
Distance (Hamming Distance, Euclidean Distance, Manhattan Distance)
R/ R Studio

Must Have:

Develop and optimize machine learning models
Implement AI algorithms (deep learning, neural networks, NLP)
Design and maintain data pipelines
Collaborate with cross-functional teams
Conduct research on emerging AI technologies
Ensure scalability, reliability, and efficiency of AI models
Troubleshoot and improve existing AI/ML systems
Proficiency in Python
Experience with TensorFlow, PyTorch
Strong data preprocessing and feature engineering skills
Experience with cloud platforms (AWS, Azure, GCP)
Experience with containerization (Docker, Kubernetes)

Add these skills to join the top 1% applicants for this job

cross-functional

data-analytics

forecasting-budgeting

data-structures

aws

azure

pytorch

deep-learning

docker

kubernetes

decision-trees

neural-networks

python

keras

algorithms

tensorflow

machine-learning

Senior AI/ML Engineer

Primary Skills

Hypothesis Testing, T-Test, Z-Test, Regression (Linear, Logistic), Python/PySpark, SAS/SPSS, Statistical analysis and computing, Probabilistic Graph Models, Great Expectation, Evidently AI, Forecasting (Exponential Smoothing, ARIMA, ARIMAX), Tools(KubeFlow, BentoML), Classification (Decision Trees, SVM), ML Frameworks (TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet), Distance (Hamming Distance, Euclidean Distance, Manhattan Distance), R/ R Studio

Job requirements

Key Responsibilities - Develop and optimize machine learning models for various applications. - Implement AI algorithms, including deep learning, neural networks, and natural language processing (NLP). - Design and maintain data pipelines for model training and deployment. - Collaborate with cross-functional teams to integrate AI solutions into products. - Conduct research on emerging AI technologies and best practices. - Ensure scalability, reliability, and efficiency of AI models in production environments. - Troubleshoot and improve existing AI/ML systems. Required Skills & Qualifications - Experience: 3-8 years in AI/ML development. - Technical Skills: Proficiency in Python, TensorFlow, PyTorch, and other ML frameworks. - Data Handling: Strong knowledge of data preprocessing, feature engineering, and model evaluation. - Cloud & Deployment: Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes). - Problem-Solving: Ability to analyze complex problems and develop AI-driven solutions.

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