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AI/ML Engineer

We are looking for an enthusiastic and talented Mid-level AI/ML Engineer to join our growing AI/ML team. You will be involved in designing, developing, and optimizing machine learning models, working across various AI domains like NLP, Computer Vision, and Generative AI. In this role, you'll be responsible for implementing solutions, training, and fine-tuning models to deliver real-world impact.

Key Responsibilities

  • Design, develop, and deploy machine learning models for a variety of applications, ensuring they meet customer needs.
  • Work on training and fine-tuning ML models, with a focus on optimizing performance and scalability.
  • Collaborate closely with other engineers and data scientists to build end-to-end machine learning pipelines.
  • Assist in evaluating model performance and implement necessary improvements to optimize accuracy and efficiency.
  • Contribute to the development of machine learning-based applications for document extraction, conversational AI, and other AI-driven solutions.
  • Develop and refine prompts for large language models (LLMs) to ensure they generate accurate and relevant outputs.
  • Work with cross-functional teams to preprocess and clean datasets, transforming them into usable features for machine learning models.
  • Build and deploy ML pipelines on cloud platforms (e.g., GCP, AWS, or Azure).
  • Perform exploratory data analysis (EDA), clean and transform data, and apply techniques to handle data imbalances and outliers.
  • Collaborate with senior team members to fine-tune models and integrate them into production environments.

What We’re Looking For

  • 3+ years of experience in AI/ML engineering, with hands-on experience in building machine learning models and deploying them into production.
  • Solid understanding of machine learning principles, algorithms, and best practices.
  • Proficiency in Python and experience with popular libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, and/or PyTorch.
  • Familiarity with cloud platforms (e.g., GCP, AWS, or Azure) and their machine learning tools.
  • Experience with one or more AI technologies, such as Natural Language Processing (NLP), Computer Vision, or Generative AI (GenAI).
  • Understanding of end-to-end machine learning workflows, including data preprocessing, feature engineering, model selection, training, and deployment.
  • Knowledge of large language models (LLMs) and experience with prompt development and model fine-tuning.
  • Good understanding of working with data, including data cleaning, transformation, and augmentation techniques.
  • A passion for learning and staying up to date with the latest developments in AI and machine learning.
  • Excellent communication and collaboration skills.

Nice to Have

Familiarity with Google Cloud, AWS, or Azure machine learning services.

What You Should Know About AI/ML Engineer, Vettura LLC

Are you an enthusiastic AI/ML Engineer looking to take the next step in your career? If so, we have an exciting opportunity for you in our dynamic AI/ML team! As a Mid-level AI/ML Engineer at our company, you'll be at the forefront of innovation, designing, developing, and optimizing cutting-edge machine learning models across various domains, including Natural Language Processing, Computer Vision, and Generative AI. Your day-to-day activities will include implementing robust solutions, training models to perfection, and refining them to create tangible results that positively impact our clients. Working closely with talented engineers and data scientists, you'll help build comprehensive machine learning pipelines that bring ideas to life! With your strong background in AI/ML engineering, you’ll engage in important tasks like performing exploratory data analysis, building scalable ML pipelines on cloud platforms, and ensuring model performance meets our high standards. We value a passion for learning and problem-solving, so if you thrive in a collaborative environment and are eager to stay updated on industry advancements, we’d love to hear from you. Join us and become an essential part of our aim to push the boundaries of AI technology, while specifically contributing to projects in document extraction and conversational AI.

Frequently Asked Questions (FAQs) for AI/ML Engineer Role at Vettura LLC
What are the main responsibilities of an AI/ML Engineer at your company?

As an AI/ML Engineer at our company, your main responsibilities will include designing and deploying machine learning models for various applications, collaborating with cross-functional teams on end-to-end machine learning pipelines, training and fine-tuning models for optimal performance, and contributing to machine learning-based applications such as document extraction and conversational AI.

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What qualifications are required for the Mid-level AI/ML Engineer position?

To qualify for the Mid-level AI/ML Engineer position at our company, you should have at least 3 years of experience in AI/ML engineering, a solid understanding of machine learning principles and algorithms, proficiency in Python along with libraries like NumPy and TensorFlow, and familiarity with cloud platforms such as AWS or Azure. Experience with NLP, Computer Vision, or Generative AI is also essential.

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What programming skills are needed for the AI/ML Engineer role?

For the AI/ML Engineer role, you will need to be proficient in Python and have practical experience using popular libraries such as Pandas, Scikit-learn, TensorFlow, and/or PyTorch. Additionally, understanding programming concepts related to data manipulation and machine learning algorithm implementation is crucial.

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How does your company approach collaboration in AI/ML projects?

Our company promotes a collaborative environment where AI/ML Engineers work closely with engineers, data scientists, and product teams. This teamwork is vital for developing comprehensive machine learning solutions and ensures everyone contributes their expertise to achieve common goals.

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What opportunities for career growth exist for AI/ML Engineers in your company?

At our company, AI/ML Engineers have numerous opportunities for career growth. With a focus on continuous learning and keeping updated with industry advancements, you can take on more complex projects, lead initiatives, or even move into specialized roles as you build your experience and skills.

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Common Interview Questions for AI/ML Engineer
Can you describe your experience with deploying machine learning models in a production environment?

In answering this question, highlight specific projects where you successfully deployed machine learning models. Discuss the tools you used, the challenges faced during deployment, and any improvements you achieved in terms of model performance or efficiency.

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How do you evaluate the performance of a machine learning model?

When discussing model evaluation, explain commonly used metrics such as accuracy, precision, recall, F1 score, and ROC-AUC. Share how you select metrics based on the problem at hand, and mention your experience using tools or frameworks to facilitate this evaluation.

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What machine learning algorithms are you most familiar with, and how do you choose which one to use?

Focus on your familiarity with various algorithms, such as decision trees, random forests, or neural networks. Discuss criteria such as the nature of the dataset, the problem type, and performance metrics that influence your algorithm selection.

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Describe a challenging problem you encountered while working with data and how you resolved it.

Be specific about a particular issue, such as data imbalance or outliers, and explain the steps you took to analyze the situation, the methods you employed to resolve it (like resampling or transformation techniques), and the results of your interventions.

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What techniques do you use for feature engineering?

Detail your approach to feature engineering, including domain knowledge, data analysis techniques, and any tools or methods you commonly apply. Share examples of how your efforts in feature extraction have led to improved model performance.

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How do you keep yourself updated with the latest trends in AI and machine learning?

Discuss your strategies for staying informed, such as following industry publications, participating in conferences, engaging in online courses, or being involved in AI/ML communities. Share any specific resources you find valuable.

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Explain your experience with large language models (LLMs) and prompt development.

Reflect on your background with LLMs, including any projects where you employed them. Discuss how you approach prompt development effectively and how you fine-tuned models for specific tasks or applications.

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Have you worked with cloud-based machine learning platforms? If so, which ones?

If you have experience, mention the cloud platforms like AWS, GCP, or Azure along with specific services you utilized. Outline projects where cloud resources were beneficial and elaborate on your role in implementing these solutions.

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What role does data preprocessing play in your machine learning workflow?

Emphasize the importance of data preprocessing in creating accurate models. Explain the techniques you use to clean, transform, and prepare data, along with any specific tools or libraries that you have found useful.

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Can you discuss your teamwork experience in AI projects?

Share experiences of how collaboration has played a role in your previous projects, mentioning interactions with data scientists, project managers, or stakeholders. Highlight how effective communication and teamwork lead to successful outcomes.

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Full-time, remote
DATE POSTED
December 23, 2024

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