AL/ML Engineers/ Data Scientist

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Job Overview

At Dexian, we are seeking a motivated and skilled AI/ML Engineer/Data Scientist to join our dynamic team. In this role, you will primarily be responsible for developing, implementing, and optimizing machine learning models and algorithms to address complex business challenges. You will collaborate with cross-functional teams to gather requirements, analyze data, and translate business needs into actionable solutions. The successful candidate will also be involved in statistical analysis, data mining processes, and building predictive models that will enhance our service delivery and decision-making capabilities.

Job Responsibilities

• Develop and implement machine learning models and algorithms for diverse applications.
• Analyze and preprocess large datasets to extract valuable insights and trends.
• Collaborate with product managers and stakeholders to define project objectives and requirements.
• Evaluate and compare machine learning techniques to determine the best approach for specific problems.
• Conduct statistical analysis to validate models and enhance overall performance.
• Deploy machine learning models into production environments and maintain their performance.
• Communicate findings and recommendations to technical and non-technical stakeholders.
• Stay updated on latest trends in AI/ML technologies and methodologies.

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, or a related field.
• Proven experience as a Data Scientist or AI/ML Engineer with a strong portfolio of projects.
• Proficiency in programming languages such as Python, R, or Java.
• Experience with machine learning frameworks such as TensorFlow, Keras, or PyTorch.
• Strong understanding of statistical analysis, data modeling, and simulation.
• Familiarity with data visualization tools (e.g., Tableau, Power BI, or Matplotlib).
• Excellent problem-solving skills and attention to detail.
• Strong communication skills to collaborate effectively across teams.

Technologies & Tools

The ideal candidate will work extensively with a range of technologies and tools, including but not limited to Python, Jupyter Notebooks, SQL databases, cloud platforms (AWS, Azure, or GCP), and machine learning libraries (such as Scikit-learn, TensorFlow, or PyTorch) to develop and deploy models. Familiarity with data processing tools like Apache Spark or Hadoop is also beneficial.

Ideal Candidates

Ideal candidates are those who demonstrate strong analytical thinking and have a passion for leveraging data to drive decision-making. They should possess a collaborative mindset, allowing them to thrive in team-oriented environments while also being self-motivated and capable of independently managing projects. Strong communication and presentation skills will enable them to effectively convey complex ideas to diverse audiences. A continuous learning attitude is essential, as the landscape of AI/ML technologies is ever-evolving.