Technical Artificial Intelligence and Machine

4 weeks ago


New York, United States Devsinc Full time

**Responsibilities**:

- Develop and articulate the overall AI/ML strategy for the organization.
- Collaborate with stakeholders to understand business objectives and align AI/ML initiatives accordingly.
- Lead and mentor a team of AI/ML engineers, data scientists, and other technical professionals. Foster a collaborative and innovative team culture, ensuring effective communication and knowledge sharing.
- Oversee end-to-end AI/ML projects, from conception to deployment.
- Ensure the timely and successful delivery of high-quality solutions, meeting both technical and business requirements.
- Stay abreast of the latest advancements in AI/ML technologies and methodologies.
- Provide hands-on technical expertise, guiding the team in the design and implementation of robust and scalable AI/ML systems.
- Conduct thorough code reviews to maintain code quality and adherence to best practices. Implement and enforce quality assurance processes to guarantee the reliability and accuracy of AI/ML models.
- Collaborate with cross-functional teams, including product management, data engineering, and business stakeholders.
- Lead the resolution of complex technical challenges, utilizing a problem-solving mindset and leveraging expertise in AI/ML algorithms.
- Ensure comprehensive documentation of AI/ML models, algorithms, and systems for knowledge transfer and future reference.

**Qualifications**:

- Graduated in Computer Science, Machine Learning, or a related field.
- Required Visa Status**:US Citizens or Green Card Holder**:

- Proven experience **(3-6 years) in AI/ML development**, with a focus on leadership roles.
- Strong proficiency in programming languages such as Python, and familiarity with relevant libraries and frameworks (e.g., TensorFlow, PyTorch).
- Demonstrated experience in developing and deploying AI/ML models at scale.
- Excellent communication and interpersonal skills.
- Solid understanding of software engineering principles and best practices.

**Preferred Skills**:

- Experience with cloud platforms (e.g., AWS, Azure, GCP).
- Knowledge of Big Data technologies and tools.
- Familiarity with Agile/Scrum methodologies.

Pay: From $50.00 per hour

Expected hours: 40 per week

Application Question(s):

- We're offering W2 or 1099 for this role. Are you comfortable with that?
- Do you require any sponsorship for this role?

Work Location: Remote



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