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AI/ML Developers: Multiple Full-Time Roles

Remote:

Full Remote

Contract:

Full time

Experience:

Senior (5-10 years)

Work from:

United States

Offer summary

Qualifications:

Bachelor’s or Master’s degree in CS, Engineering, or related field., Proficiency in Python, R, or similar languages., Experience with ML frameworks like TensorFlow or PyTorch., Strong data handling skills with tools like Pandas and SQL., Understanding of AI/ML algorithms and familiarity with deep learning architectures..

Key responsabilities:

Design and implement machine learning models and algorithms.
Collect, clean, and preprocess large datasets for models.
Deploy and integrate AI/ML models into existing systems.
Collaborate with cross-functional teams on AI/ML solutions.
Research latest advancements in AI/ML and maintain documentation.

Zifcare Human Resources, Staffing & Recruiting Small startup https://www.zifcare.com/

2 - 10 Employees

See more Zifcare offers

Job description

Qualifications & Skills:

(a) Educational Background:

Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field.
Relevant certifications or courses in AI/ML, Data Science, or related fields are a plus.

(b) Technical Skills:

Programming Languages: Proficiency in Python, R, or similar languages used in AI/ML development.
Machine Learning Frameworks: Experience with frameworks such as TensorFlow, PyTorch, Scikit-learn, or Keras.
Data Handling: Strong skills in handling and processing large datasets, with proficiency in tools like Pandas, NumPy, and SQL.
Model Development: Experience in developing, training, and deploying machine learning models, including supervised and unsupervised learning techniques.
Algorithms: Understanding of fundamental AI/ML algorithms, including neural networks, decision trees, clustering, and regression.
Deep Learning: Familiarity with CNNs, RNNs, LSTMs, GANs, and other deep learning architectures.
Cloud Services: Experience with cloud platforms like AWS, Google Cloud, or Azure for AI/ML model deployment.
Version Control: Proficient in using version control tools such as Git.

(c) Additional Skills:

Problem-Solving: Strong analytical skills with the ability to solve complex problems using data-driven approaches.
Communication: Effective communication skills to articulate technical concepts to non-technical stakeholders.
Collaboration: Ability to work effectively in cross-functional teams, whether in-person or remotely.
Adaptability: Willingness to learn and adapt to new technologies and methodologies in the AI/ML field.

(d) Experience Levels:

Junior: 0-2 years of experience in AI/ML development or related fields.
Mid-Level: 3-5 years of experience with a proven track record in AI/ML projects.
Senior: 6+ years of experience, with leadership experience in AI/ML project management and model deployment.

Responsibilities:

(a) Model Development:

Design, develop, and implement machine learning models and algorithms tailored to specific business needs.
Continuously improve model performance by experimenting with different techniques and parameters.

(b) Data Analysis & Processing:

Collect, clean, and preprocess large datasets from various sources to feed AI/ML models.
Conduct exploratory data analysis to uncover trends, patterns, and insights.

(c) Deployment & Integration:

Deploy and integrate AI/ML models into existing systems or new applications, ensuring scalability and reliability.
Monitor model performance in production environments and implement improvements as needed.

(d) Collaboration & Communication:

Collaborate with data engineers, software developers, and business analysts to translate business requirements into AI/ML solutions.
Communicate findings and recommendations to stakeholders through reports, presentations, and visualizations.

(e) Research & Innovation:

Stay updated with the latest advancements in AI/ML technologies and methodologies.
Experiment with cutting-edge AI/ML tools and techniques to explore new opportunities for innovation.

(f) Documentation:

Maintain comprehensive documentation of models, processes, and results to ensure reproducibility and knowledge sharing.
Contribute to the development of best practices and standards for AI/ML development within the team.

(g) Mentorship (For Senior Roles):

Provide guidance and mentorship to junior AI/ML developers, helping them to grow their technical skills and advance in their careers.
Lead AI/ML projects and manage teams to ensure successful delivery of solutions.