Location : US & Canada
Role:
Our Client is focused on building industry-focused AI models. They are seeking a highly skilled and passionate ML Engineer to join their dynamic team. In this role, you will be at the forefront of designing, developing, and implementing advanced machine learning models that will have a direct impact on our products and offerings.
Responsibilities:
- Design, build, and deploy advanced machine learning models and algorithms to solve complex problems in various domains, such as natural language processing, computer vision, and predictive analytics.
- Collaborate closely with cross-functional teams, including data scientists, engineers, and product managers, to identify opportunities for leveraging company data to improve business outcomes.
- Perform data mining and feature extraction using advanced statistical and machine learning techniques.
- Evaluate and validate the performance of machine learning models using appropriate metrics and techniques.
- Optimize and fine-tune machine learning models for optimal performance in production environments.
- Stay up-to-date with the latest advancements in machine learning and artificial intelligence research.
- Contribute to the development of best practices in machine learning and share knowledge with peers and junior team members.
- Provide technical leadership and mentoring to other team members as needed.
Requirements:
- 4+ years of experience in developing and deploying machine learning models in a professional setting.
- Strong understanding of various machine learning algorithms, such as linear regression, logistic regression, decision trees, SVM, neural networks, ensemble methods, and reinforcement learning.
- Demonstrated experience in working with large datasets and using big data technologies, such as Hadoop, Spark, and distributed computing.
- Proficient in programming languages, such as Python.
- Experience with machine learning frameworks and libraries, such as TensorFlow, Keras, PyTorch, or Scikit-learn.
- Familiarity with data visualization tools, such as Tableau, Matplotlib, or D3.js.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration skills, with the ability to explain complex concepts to both technical and non-technical stakeholders.
Preferred Qualifications:
- Experience in working with cloud platforms, such as AWS, Google Cloud, or Azure.
- Knowledge of natural language processing, computer vision, or deep learning techniques.
- Experience developing end-to-end machine learning pipelines, from data gathering and preprocessing to model deployment and monitoring.
Why join them?
They are a startup within a mature established SaaS company – and they provide all the benefits of a startup, while still able to leverage the advantages of being an established 16 year old enterprise SaaS company. Their products are already proven through our parent company and now are expanding their footprint in a horizontal way. AI is embedded in all there offerings and we believe we have a ground breaking platform that every business needs. Added to the tremendous business potential, they offer a comprehensive compensation and benefits package, with unlimited upside as far as total compensation is concerned. Best of all, we pride ourselves on or culture, values and beliefs – our team members work hard, have fun and are all fired up with passion and purpose. If you are excited about being part of a firm that is poised for hyper scaling, then we are the right choice for you!