Machine Learning Developer

Job Description

We are seeking a highly skilled and motivated Machine Learning Developer to join our dynamic team. As a Machine Learning Developer, you will play a critical role in designing, developing, and deploying machine learning models and algorithms that drive our clients’ business objectives. This is a remote position, offering the flexibility to work from anywhere within the Dallas Fort Worth area.

Key Responsibilities:

• Model Development: Design, develop, and implement machine learning models and algorithms to solve complex business problems. Utilize supervised and unsupervised learning techniques to create innovative solutions.
• Data Analysis: Collect, preprocess, and analyze large datasets to extract meaningful insights. Apply data mining techniques and statistical analysis to improve model accuracy and performance.
• Model Training and Optimization: Train, fine-tune, and optimize machine learning models to ensure high performance and scalability. Continuously monitor and evaluate model performance to identify areas for improvement.
• Integration and Deployment: Collaborate with software engineers to integrate machine learning models into existing systems and applications. Deploy models to production environments and ensure their seamless operation.
• Research and Innovation: Stay updated with the latest advancements in machine learning technologies. Conduct research and experiments to explore new methodologies and improve existing solutions.
• Collaboration and Communication: Work closely with cross-functional teams, including data scientists, software developers, and business stakeholders, to understand requirements and deliver machine learning-driven solutions that meet business needs.
• Documentation and Reporting: Document the development process, methodologies, and findings. Prepare reports and presentations to communicate results and progress to both technical and non-technical stakeholders.

Qualifications:

• Educational Background: Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or a related field.
• Technical Expertise: Proven experience in developing and deploying machine learning models using frameworks such as TensorFlow, PyTorch, Keras, or scikit-learn. Strong programming skills in Python, R, or similar languages.
• Data Handling Skills: Proficiency in data preprocessing, data visualization, and statistical analysis. Experience working with large datasets and data manipulation tools.
• Algorithm Knowledge: In-depth understanding of machine learning algorithms, including regression, classification, clustering, and deep learning techniques.
• Problem-Solving Skills: Strong analytical and problem-solving abilities. Ability to translate business problems into technical solutions and implement machine learning-driven approaches.
• Communication Skills: Excellent verbal and written communication skills. Ability to effectively collaborate with team members and convey complex technical concepts to non-technical stakeholders.
• Project Management: Demonstrated ability to manage multiple projects and priorities in a fast-paced environment. Strong organizational and time management skills.

Preferred Qualifications:

• Experience with cloud platforms such as AWS, Azure, or Google Cloud for model deployment.
• Familiarity with big data technologies like Hadoop, Spark, or Apache Kafka.
• Knowledge of computer vision, natural language processing, or other specialized machine learning fields.
• Previous experience in a similar role within the I.T. industry or a related sector.

Benefits:

• Competitive salary and performance-based bonuses.
• Flexible remote work environment.
• Opportunities for professional growth and development.
• Collaborative and innovative work culture.
• Health, dental, and vision insurance.
• Retirement savings plan.

Application Process: If you are passionate about machine learning and eager to make a significant impact in the I.T. industry, we would love to hear from you. Please submit your resume, cover letter, and any relevant work samples or project portfolios through our online application portal.