Job Description
Develop, test, and deploy scalable and robust machine learning and deep learning solutions for various domains, such as computer vision, natural language processing, speech recognition, recommender systems, reinforcement learning, generative AI, and multimodal models.Job Responsibilities & Requirements
What You Will Do:
Conduct literature review and experimental evaluation of state-of-the-art algorithms, models, services, and tools.
Use state-of-the-art models, algorithms, and tools to develop and iterate on POCs (proof-of-concept) in an agile fashion, including data annotation and labeling.
Work on complex and large-scale data sets, applying data cleaning, preprocessing, feature engineering, and analysis techniques.
Manage and coordinate multiple projects, ensuring they meet the quality standards, timelines, and budget constraints.
Create and present clear and concise reports, dashboards, and presentations to communicate the results and insights to internal and external stakeholders.
Collaborate with cross-functional teams of engineers, product managers, designers, and domain experts to understand business needs, perform feasibility analysis, and deliver high-impact solutions.
Keep abreast of the latest developments and trends in artificial intelligence and machine learning and identify new opportunities and challenges.
Engage with customers and partners to understand their pain points and requirements, collect and analyze data, and provide technical support and consultation.
Qualifications:
Bachelors degree in a related Field required
3+ years of experience in developing and deploying machine learning and deep learning solutions for various domains required
Proficient in Python and SQL required
Experience with wide range of machine learning, deep learning, and deployment frameworks such as TensorFlow, PyTorch, Keras, Scikit-learn, Numpy, Pandas, OpenCV, Restful APIs, Docker, GPT APIs, Flask, Huggingface required
Experience in working with cloud platforms such as Azure, AWS, or Google Cloud required
Strong analytical and problem-solving skills, and the ability to work independently and in a team
Excellent communication and presentation skills, and the ability to explain complex technical concepts to a non-technical audience
MiTek Perks:
Flexible Paid Time Off - take as much time off as you need!
Medical, Dental and Vision Insurance begin on Day 1!
Profit Sharing Plan and Annual Incentive Plan
13 Paid Holidays
401k Plan with Matching Contributions
Paid Parental Leave and Paid Caregiver Leave
A variety of Medical, Dental and Vision Plans to choose from
Short-Term Disability Coverage, Long-Term Disability Coverage and Life Insurance
Tuition Reimbursement
Career advancement and training opportunities!
MiTek is a platform innovator and enabler that exists to transform the building industry with better building solutions. In 1955, MiTek transformed residential construction with the invention of the Gang-Nail plate and a digital platform that provided an affordable and scalable way to manufacture wood trusses. Today, MiTek delivers software, services, engineered products, and automated solutions that enable the building industry to improve efficiencies by optimizing the balance between off-site and on-site. With nearly 5,600 team members worldwide, MiTek collaborates across the building industry to enable and accelerate transformational breakthroughs in design and construction to transform the way the industry designs, makes, and builds. As a Berkshire Hathaway (NYSE: BRK-A, NYSE: BRK-B) company since 2001, MiTek has a record of continuous growth and innovation.
MiTek is an E-Verify and Drug and Tobacco-Free Workplace.
We are an equal opportunity employer; and all qualified applicants will receive consideration for employment without regard to race, color, creed, religion, national origin, ethnicity, physical or mental disability, sex (including pregnancy, sexual orientation, gender identity or expression, or transgender status), age (40 and over), genetic information (including family medical history), veteran status, or any other protected characteristic.
For accommodation to assist with completing this application, please contact Human Resources at +1 314-434-1200.
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