AI/ML Engineer

• 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.

• 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.

• 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.

• 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.

• 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.                

• 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.

• 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.

• 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.

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

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

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

• 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.

• Competitive executive compensation package.
• Comprehensive health & accident insurance
• Retirement savings plan with company match.
• Generous paid time off and holidays.
• Professional development and leadership training opportunities.
• Dynamic and collaborative work environment.

SmarTek21 is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state, or local protected class.