<div>At Virtual Connect, we specialize in providing top-notch virtual assistant support to professionals and businesses looking to delegate administrative tasks and focus on high-impact activities. Our experienced virtual assistants are skilled in a wide range of services, including calendar management, email handling, research, social media management, and more.&nbsp;</div>

Virtual Connect Solutions

Key Responsibilities
<ul>
<li>Partner with clients and stakeholders to translate business challenges into analytical and AI-driven solutions.</li>
<li>Perform exploratory data analysis (EDA) to identify trends, insights, and opportunities.</li>
<li>Design, build, train, and evaluate machine learning, deep learning, and Generative AI models.</li>
<li>Develop and optimize Retrieval-Augmented Generation (RAG) pipelines and LLM-based applications.</li>
<li>Define model evaluation frameworks, conduct A/B testing, and monitor model performance and drift.</li>
<li>Deploy data science solutions through APIs, batch pipelines, and cloud-based platforms.</li>
<li>Optimize model inference performance, scalability, latency, and cost.</li>
<li>Build accurate, explainable, and responsible AI solutions while minimizing bias and ensuring reliability.</li>
<li>Collaborate with data engineers, software engineers, product managers, and designers to integrate solutions into production systems.</li>
<li>Present insights and recommendations to technical and business stakeholders in a clear and actionable manner.</li>
<li>Contribute to internal innovation initiatives, research projects, and thought leadership activities.</li>
</ul>
Required Qualifications
<ul>
<li>Bachelor's, Master's, or PhD in Computer Science, Data Science, Machine Learning, Artificial Intelligence, Statistics, Mathematics, Engineering, or a related discipline.</li>
<li>Strong programming skills in Python and &nbsp;SQL.</li>
<li>Hands-on experience with machine learning frameworks and the Python data science ecosystem.</li>
<li>Experience developing predictive, classification, optimization, and statistical models using structured and unstructured data.</li>
<li>Understanding of Generative AI, LLMs, prompt engineering, RAG architectures, and model evaluation techniques.</li>
<li>Experience with model deployment, monitoring, testing, and productionization.</li>
<li>Strong problem-solving and analytical thinking skills.</li>
<li>Excellent communication and stakeholder management abilities.</li>
</ul>
Preferred Skills
<ul>
<li>Experience with big data technologies such as PySpark, Hadoop, Hive, or similar frameworks.</li>
<li>Familiarity with Databricks, Airflow, Kedro, Dask, RAPIDS, or comparable data engineering tools.</li>
<li>Knowledge of cloud platforms including AWS, Azure, or GCP.</li>
<li>Experience with containerization and orchestration tools such as &nbsp;Docker and Kubernetes.</li>
<li>Exposure to software engineering best practices and MLOps.</li>
<li>Experience deploying AI and analytics solutions in enterprise environments.</li>
<li>Consulting or client-facing project experience is highly desirable.</li>
</ul>