ML/AI Engineer
At 1001Epochs, we're committed to cultivating an environment of inclusivity and respect. We recognize the indispensable value of diverse perspectives and experiences in shaping a company culture that is enriching and rewarding. We earnestly consider all qualified candidates, irrespective of their race, religion, gender, sexual identity, nationality, age, or disability, among other identities. We are dedicated to fostering a workspace that encourages everyone to thrive.
Job description:
As an ML/AI Engineer, you will be responsible for developing and refining machine learning models, utilizing cutting-edge technologies to extract valuable insights from data. Collaborating with our cross-functional teams, you'll ensure the successful integration of AI capabilities into our product suite.
Job responsibilities:
- Develop, validate, and implement algorithms and models that extract, classify, and understand information from structured and unstructured data.
- Leverage machine learning, data regression, and rules-based models.
- Propose, experiment, and implement AI approaches and methodologies.
- Collaborate with the data engineering team to build data and model pipelines.
- Apply AI and machine learning to solve complex business challenges.
- Provide insight into the latest industry trends and advancements in AI and Machine Learning.
- Develop and deploy NLP and CV solutions for diverse sets of challenges.
Personal Qualifications:
- Bachelor's or Master’s degree in Computer Science, Data Science, or a related field.
- Proven experience as an ML/AI Engineer or similar role.
- Proficient in Python and familiar with libraries/frameworks such as TensorFlow, PyTorch, or Keras.
- Familiarity with machine learning frameworks and libraries.
- Experience with cloud services (like AWS or Google Cloud) and understanding of distributed data/computing tools.
- Strong understanding of machine learning algorithms, data structures, and performance optimization techniques.
- Excellent problem-solving and analytical skills.
- Demonstrated experience in NLP and CV solutions.
Benefits
- Competitive salary and performance-based bonuses.
- Opportunities for ongoing learning including courses and conferences.
- Flexible working hours and remote work.
- A team-oriented, encouraging work environment.
- The chance to be a part of innovative projects that make a real-world impact.
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