AI Engineer ($100000 - $150000)

Employment Type

Full-time

Veteran Status: Not Required

H1B Visa: No

Full Location

Not Specified, Not Specified, United States

Required Skills

Min Education

Job Responsibilities

1. Algorithm Development:

- Design, develop, and implement machine learning algorithms and models to address specific business challenges and opportunities.

- Collaborate with cross-functional teams to understand requirements and objectives.

2. Data Preparation and Analysis:

- Clean, preprocess, and analyze large datasets to extract meaningful insights and features for training machine learning models.

- Work with data scientists and domain experts to understand data characteristics and requirements.

3. Model Training and Evaluation:

- Train and evaluate machine learning models using various algorithms and frameworks.

- Optimize models for performance, accuracy, and scalability.

4. Integration:

- Integrate machine learning models into production systems and applications.

- Collaborate with software engineers to deploy and maintain AI solutions.

5. Research and Innovation:

- Stay abreast of the latest developments in artificial intelligence and machine learning.

- Contribute to research and development initiatives to advance our AI capabilities.

6. Collaboration:

- Work closely with cross-functional teams, including data scientists, software engineers, and product managers, to deliver integrated solutions.

7. Documentation:

- Create and maintain comprehensive documentation for AI models, algorithms, and integration processes.

Minimum Qualification

- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field (or equivalent experience).

- Proven experience in developing and deploying machine learning models.

- Strong programming skills, with proficiency in languages such as Python or R.

- Knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch).

- Familiarity with data engineering concepts and tools.

- Excellent problem-solving and analytical skills.

- Strong communication and collaboration skills.

Benefits

- Competitive salary.

- Health and dental insurance.

- 401(k) retirement plan.

- Opportunities for ongoing learning and professional development.

- Collaborative and innovative work environment.