AI Expert

DalloTech, a visionary technology company founded in 2018 by a team of passionate engineers dedicated to harnessing technology's transformative potential for societal advancement. At DalloTech, we confront challenges head-on, developing innovative solutions that drive professional growth and progress.

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Delve into our realm of software development mastery, where we excel across various domains. From pioneering Blockchain solutions to precise Product Design and Quality Assurance, we orchestrate excellence at every phase.

Pioneering the future of mobile app development, our skilled team crafts intuitive and dynamic applications, seamlessly merging innovation and functionality. Embrace the future with mobile solutions that stand out in the digital landscape.

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Software engineering is the cornerstone of our endeavors. We're passionate about crafting tailor-made software that meets and exceeds your unique needs. Your satisfaction drives us, and we take pride in delivering solutions that exceed expectations.

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Step into the world of DalloTech, where technology intersects with innovation, and solutions are crafted to match your aspirations. Partner with us as we sculpt the future, one optimized software solution at a time.

DalloTech, a visionary technology company founded in 2018 by a team of passionate engineers dedicated to harnessing technology's transformative potential for societal advancement. At DalloTech, we confront challenges head-on, developing innovative solutions that drive professional growth and progress.

Our expertise spans diverse domains, primarily focused on enhancing businesses through meticulous process optimization. As your technology partner, we empower efficiency and success through the …

AI Expert

Views: 1021 | This job is expired 1 year, 6 months ago

Basic Job Information

Job Category : IT & Telecommunication
Job Level : Senior Level
No. of Vacancy/s : [ 1 ]
Employment Type : Full Time , Part Time
Job Location : Lalipur
Offered Salary : Not Disclosed
Apply Before(Deadline) : Mar. 02, 2024 23:55 (1 year, 6 months ago)

Job Specification

Education Level : Graduate (Masters)
Experience Required : More than or equal to 2 years
Professional Skill Required : Interpersonal Skills Ai Communication Time Management Data Science
Other Specification
  • Master’s or Ph.D. degree in a quantitative field (Data Science, Statistics, Computer Science, etc.).
  • Proven experience as a Data Scientist, preferably in the context of AI or SaaS products.
  • Experience with end-to-end machine learning model development and deployment. Technical Skills:
  • Proficiency in programming languages such as Python or R.
  • Strong knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch) and data manipulation tools. Statistical Analysis:
  • Solid understanding of statistical analysis and experimental design.
  • Experience with hypothesis testing and A/B testing methodologies.

Data Management:

  • Expertise in data preprocessing, cleansing, and transformation.
  • Familiarity with database systems and data storage technologies.

Communication Skills:

  • Excellent communication skills with the ability to convey complex findings to both technical and non-technical audiences.
  • Collaborative mindset and ability to work in a cross-functional team.
  • Problem-Solving:
  • Strong problem-solving skills and the ability to think critically about data-related challenges.
  • Proactive in identifying opportunities for improvement and innovation.
  • Industry Knowledge:
  • Familiarity with the SaaS industry and understanding of how data science can drive value in this context.

Job Description

Data Analysis and Modeling:

  • Conduct exploratory data analysis to identify patterns, trends, and insights.
  • Develop and implement machine learning models to solve specific business problems related to the AI based SaaS product.

Feature Enhancement:

  • Collaborate with cross-functional teams, including product managers and engineers, to integrate data-driven features into the product.
  • Optimize existing features using advanced statistical and machine learning techniques.
  • Data Preparation and Cleansing:
  • Prepare and clean large datasets for analysis and model training.
  • Implement data pipelines to ensure efficient and reliable data processing.

Model Evaluation and Validation:

  • Evaluate model performance using appropriate metrics and validation techniques.
  • Implement strategies for model monitoring and continuous improvement.

Data Visualization:

  • Create compelling visualizations to communicate data-driven insights to both technical and non-technical stakeholders.
  • Provide actionable insights to inform decision-making processes. 

Collaboration:

  • Work closely with software developers to deploy and integrate models into the AI based SaaS product.
  • Collaborate with cross-functional teams to understand business requirements and align data science initiatives with company goals.

Research and Innovation:

  • Stay abreast of the latest advancements in data science and AI technologies.
  • Contribute to research activities and propose innovative solutions to enhance the product.

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