AI/ML Engineer

Posted 8 Days Ago
Hiring Remotely in USA
Remote
Senior level
Artificial Intelligence • Software
The Role
The Senior Data Scientist will lead machine learning and AI projects, designing and deploying NLP models, conducting advanced data analysis, collaborating with teams, and communicating insights to stakeholders while staying updated with the latest technological advancements.
Summary Generated by Built In

Our Product entity is seeking a highly skilled and experienced Senior Data Scientist specializing in Machine Learning and AI to join our dynamic team. The ideal candidate will have a strong background in advanced data analysis, machine learning, and artificial intelligence, with the ability to apply these skills to solve complex business problems. This role involves leading data-driven projects, developing innovative solutions, and contributing to the strategic direction of our data science initiatives.
Key Responsibilities:
Machine Learning and AI Development:

  • Design, develop, and deploy NLP and LLM models to address business challenges and improve operational efficiency.
  • Develop and fine-tune models for tasks such as text classification, sentiment analysis, named entity recognition, language translation, and more
  • Prepare and preprocess large volumes of text data, including data cleaning, tokenization, stemming, and other text processing tasks.
  • Understand requirements and participate in developing quality code.
  • Familiarity with leveraging and modifying open-source libraries to build custom frameworks.
  • Experiment with various machine learning algorithms and tools to optimize model performance.

Data Analysis and Interpretation:

  • Conduct advanced data analysis to extract actionable insights from large and complex datasets.
  • Apply statistical methods and machine learning techniques to interpret data and provide meaningful recommendations.

Project Leadership:

  • Lead data science projects from ideation to implementation, ensuring timely delivery and alignment with business objectives.
  • Collaborate with cross-functional teams, including data engineers, software developers, and business stakeholders, to integrate machine learning models into production systems.

Research and Innovation:

  • Stay current with the latest advancements in machine learning, AI, and data science.
  • Conduct research and experimentation to develop innovative solutions and improve existing methodologies.

Communication and Reporting:

  • Communicate complex data insights and model results to non-technical stakeholders clearly and effectively.
  • Prepare detailed reports, visualizations, and presentations to showcase findings and recommendations.

Skills and Qualifications:
Education and Experience:

  • Master’s in Computer Science, Data Science, Statistics, Mathematics, or a related field.
  • Proven experience as an NLP/ML engineer, with a strong focus on NLP techniques and model development.
  • 5+ years of experience in data science, with a focus on machine learning and AI applications.
  • Proven track record of successfully delivering machine learning projects in a production environment.

Technical Skills:

  • Proficiency in programming languages such as Python, R, or Java.
  • Strong experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, and others.
  • Advanced knowledge of statistical analysis, data mining, and predictive modelling techniques.

Data Handling and Processing:

  • Expertise in handling and processing large datasets using tools such as SQL, Hadoop, or Spark.
  • Familiarity with data visualization tools like Tableau, Power BI, or similar.

Analytical and Problem-Solving Skills:

  • Exceptional analytical skills with the ability to think critically and solve complex problems.
  • Strong aptitude for data-driven decision-making and strategic thinking.

Project Management

  • Proven experience in leading data science projects and managing project timelines.

Communication and Collaboration:

  • Excellent verbal and written communication skills.
  • Ability to work collaboratively in a cross-functional team environment and communicate technical concepts to non-technical stakeholders.

Research and Development:

  • Continuous learning mindset with a passion for staying updated on the latest industry trends and technologies.
  • Ability to conduct independent research and develop innovative solutions to complex problems.

Top Skills

Java
Python
R
The Company
HQ: Kirkland, WA
395 Employees
On-site Workplace
Year Founded: 2006

What We Do

SmarTek21 is a pioneer in Ai-driven data mesh platforms and market-leading conversational platforms designed to elevate the customer experience. Founded in 2006, SmarTek21 converges human expertise with artificial intelligence to solve an organizations’ most difficult digital integration and data management challenges.

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