Python Developer - AI/ML Innovator

Apprenticely is helping AccuCode AI, Inc. hire a Python Developer - AI/ML Innovator in Little Rock, AR

About the Employer: 

What is AccuCode Looking for: 

Are you a Python wizard with a passion for pushing the boundaries of AI and machine learning? Do you thrive on unconventional problem-solving and "out of the box" thinking? Our dynamic company is seeking a creative force to join our team and help shape the future of technology.

Role Overview:

We're looking for a Python developer who can bring fresh perspectives to our AI and machine learning projects. Your innovative approach will be crucial in developing cutting-edge solutions that challenge the status quo.

You're not just a coder – you're an innovator who sees possibilities where others see roadblocks. You're excited by the prospect of working in a fast-paced environment where your ideas can make a significant impact. You're comfortable with ambiguity, and unstructured tasks and eager to explore uncharted territories in AI and ML.

• Develop and implement novel machine learning algorithms and AI models
• Create scalable, efficient, and robust code for our AI/ML applications
• Collaborate with cross-functional teams to ideate and execute unconventional solutions
• Continuously explore and integrate emerging technologies and methodologies

• Strong proficiency in Python and its data science/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn)
• Proven experience in machine learning and AI development
• Demonstrated ability to think creatively and approach problems from unique angles
• Familiarity with cloud platforms and distributed computing
• Excellent communication skills to articulate complex ideas to both technical and non-technical audiences
• Ability to work in the United States without a current or future need for sponsorship
• Ability to work onsite at the office in Little Rock, AR

• A portfolio showcasing innovative AI/ML projects or contributions to open-source initiatives
• Experience with unconventional applications of AI/ML in various domains
• Ability to rapidly prototype and iterate on ideas
• Enthusiasm for staying updated with the latest AI/ML research and applying it practically

• Opportunity to work on groundbreaking projects that challenge conventional thinking
• A collaborative, inclusive environment that values diverse perspectives
• Flexible work arrangements to fuel your creativity
• Continuous learning and development opportunities

What's an Apprenticeship? An apprenticeship is a full time position with a focus on learning! During your first year of employment, you are guaranteed formal training, a mentor, and a pay raise! Employers who have committed to the apprenticeship model for hiring are committing to building you and your career. You're encouraged to apply even if your experience doesn't precisely match the job description. Apprenticeship positions welcome diverse applicants who are looking to grow their career in IT! 

How does the interview process work? We want to get to know you! Apprenticely will conduct an initial phone interview and knowledge assessment. If your skills and interest match with the employer's needs, we'll share your resume or ask you to apply directly with them. After that, the employers will continue with their recruiting and interview process. If you are a match, an offer will be made for you to get started in your new apprenticeship role! We'll be here to make sure your apprenticeship year goes smoothly and that you are set up for career growth and success!

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The Arkansas Center for Data Sciences dba Apprenticely will not discriminate against apprenticeship applicants or apprentices based on RACE, COLOR, RELIGION, NATIONAL ORIGIN, SEX (INCLUDING PREGNANCY AND GENDER IDENTITY), SEXUAL ORIENTATION, GENETIC INFORMATION, OR BECAUSE THEY ARE AN INDIVIDUAL WITH A DISABILITY OR A PERSON 40 YEARS OLD OR OLDER. Apprenticely will take affirmative action to provide equal opportunity in apprenticeship and will operate the apprenticeship program as required under Title 29 of the Code of Federal Regulations, part 30