Remote Work - Need AI/ML Engineer - W2 only

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Job Overview

Steneral Consulting is seeking a detail-oriented and innovative AI/ML Engineer to join our remote team. In this role, you will be responsible for designing, developing, and implementing machine learning models and algorithms to drive data-informed decision-making processes. You will collaborate with cross-functional teams to integrate AI solutions into products while troubleshooting and optimizing the performance of existing systems. This position requires a strong foundation in artificial intelligence and machine learning, along with exceptional problem-solving skills and a passion for advancing technologies.

Job Responsibilities

• Develop and implement machine learning models and algorithms for various applications.
• Collaborate with data scientists and stakeholders to define project goals and specifications.
• Analyze and preprocess large datasets to enable effective model training and evaluation.
• Optimize and fine-tune models for speed and accuracy.
• Conduct experiments to validate model performance and iterate as required.
• Document model development and findings for internal and external stakeholders.
• Stay updated with the latest AI/ML research and technologies.
• Provide technical guidance and mentorship to junior team members.

Qualifications

• Bachelor's or Master’s degree in Computer Science, Data Science, or a related field.
• 3-5 years of experience in AI/ML engineering or a similar role.
• Proficiency in programming languages such as Python, R, or Java.
• Strong understanding of machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch).
• Experience with data manipulation and analysis tools (e.g., Pandas, NumPy).
• Excellent problem-solving and critical-thinking skills.
• Strong communication skills to present complex concepts clearly.

Technologies & Tools

The AI/ML Engineer will primarily work with technologies and tools such as Python, TensorFlow, Keras, Scikit-learn, Apache Spark, and cloud services such as AWS or Google Cloud. Familiarity with version control systems like Git is also essential to collaborate effectively with team members and maintain a structured workflow.

Ideal Candidates

The ideal candidates for this position are those who possess a strong analytical mindset and a genuine enthusiasm for AI and machine learning technologies. They should demonstrate a track record of successfully delivering projects in a team-oriented environment and showcasing their ability to innovate and adapt to challenges. Excellent communication skills, a proactive approach to problem-solving, and the willingness to stay continuously updated with industry advancements are also key attributes for success in this role.