AI Engineer

V-Work Infotech Solutions INC
New York, NY, United States
3 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
$102,458.0 - $123,390.0
Working hours
Regular working hours
Job source

Tech stack

C (Programming Language) Java (Programming Language) Artificial Intelligence Amazon Web Services Business Analytics Applications Bash Shell Big Data Cluster Analysis Computer Programming Databases Extract Transform Load (ETL) Data Mining
+23 more
Database Design Apache Hadoop Python (Programming Language) Linked Data Unix Shell Machine Learning Natural Language Processing Pattern Recognition Cloud Services Tensorflow SAS (Software) SQL Databases Systems Integration Talend Data Processing Data Storage Management Chatbots Apache Spark Vba Programming Language Machine Learning Operations Looker Analytics Unsupervised Learning Programming Languages

Job description

We are seeking a dynamic and innovative AI Engineer to join our forward-thinking technology team. In this role, you will harness the power of artificial intelligence and machine learning to develop cutting-edge solutions that drive business insights and operational efficiencies. Your expertise will help shape the future of data-driven decision-making, leveraging advanced AI frameworks and big data technologies. This position offers an exciting opportunity to work on impactful projects that utilize natural language processing, data mining, and model deployment to solve complex problems across diverse domains., * Design, develop, and optimize machine learning models using frameworks such as TensorFlow and other AI tools to address real-world challenges.

  • Implement unsupervised learning techniques for pattern recognition, anomaly detection, and data clustering within large datasets.
  • Develop scalable ETL (Extract, Transform, Load) pipelines to prepare data from various sources including Hadoop, Spark, and SQL databases for analysis.
  • Collaborate with cross-functional teams to design database architectures that support efficient data storage and retrieval for AI applications.
  • Deploy models into production environments ensuring robustness, scalability, and performance using cloud platforms like AWS.
  • Conduct data mining and analysis to uncover actionable insights from big data repositories and linked data sources.
  • Utilize programming languages such as Python, Java, C, and Bash (Unix shell) to automate workflows, process data, and enhance system integration.
  • Apply natural language processing techniques to develop intelligent chatbots or language understanding systems.
  • Support model training processes by tuning hyperparameters, validating results, and iterating for continuous improvement.
  • Stay current with advancements in AI research including quantum engineering applications relevant to machine learning innovations.

Requirements

Do you have experience in SQL?, * Proven experience in developing machine learning models with frameworks such as TensorFlow or similar tools.

  • Strong background in big data technologies including Hadoop, Spark, and Talend for large-scale data processing.
  • Hands-on experience with SQL and database design principles for managing structured data efficiently.
  • Familiarity with cloud services like AWS for model deployment and scalable infrastructure management.
  • Knowledge of natural language processing (NLP), data mining techniques, and linked data concepts.
  • Programming proficiency in Python, Java, C, VBA or Bash (Unix shell) for automation and system integration tasks.
  • Experience working with analytics platforms such as Looker or SAS is a plus.
  • Understanding of AI concepts including unsupervised learning methods and model training strategies.
  • Excellent problem-solving skills combined with a passion for innovation in AI technology development. Join us to be at the forefront of artificial intelligence innovation-empowering organizations through smarter solutions that transform industries!

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on indeed.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:00 min

Introduction to chatbot infrastructure and cloud challenges

Stan Girard Stan Girard · WWC 2024

3:28 min

Defining big data and machine learning fundamentals

Ayon Roy · LIVE

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

4:30 min

Demonstrating a knowledge graph powered chatbot interface

Tomaz Bratanic · WWC 2023

2:10 min

Why organizations combine big data and machine learning

Ayon Roy · LIVE

2:14 min

Exploring internal AI product initiatives and global engineering roles

Maria Apazoglou · Coffee With Developers

Videos

See all

Related articles

See all