متخصص هوش مصنوعی و تحلیل داده

About Us:
At Mofid Securities, we are at the forefront of integrating advanced AI and data-driven solutions into the financial services industry. As we expand our AI & Data Innovation team, we're seeking passionate professionals for various roles including AI Engineers, AI Scientists, Data Engineers, Data Scientists, MLOps Engineers, Data Analysts. If you're eager to revolutionize finance through technology, join us!
Available Roles:
1. AI Engineer
Role Overview: Develop, deploy, and optimize AI models focusing on natural language processing (NLP), machine learning applications, and time series analysis in finance. Responsibilities include the full cycle of model design, integration, and deployment in production environments, ensuring robust performance at scale.
Key Skills: Python, TensorFlow, PyTorch, model deployment in production, NLP, machine learning, time series analysis, optimization techniques, cloud platforms.
2. AI Scientist
Role Overview: Conduct pioneering research in AI and ML, enhancing algorithms and methodologies applicable to financial data. Specialize in developing cutting-edge solutions that address complex financial challenges, leveraging time series data and other relevant datasets. Your insights will drive innovation and maintain our competitive edge.
Key Skills: Python, deep learning frameworks, theoretical AI/ML knowledge, NLP expertise, time series analysis, research publications.
3. Data Engineer
Role Overview: Design, build, and maintain the data infrastructure powering our AI and analytics systems. Ensure data accessibility, reliability, and optimal structuring for AI and ML applications, particularly in handling large-scale datasets.
Key Skills: SQL/NoSQL databases, data warehousing, ETL pipelines, Python, data modeling, cloud platforms, big data technologies (e.g., Apache Spark).
4. Data Scientist
Role Overview: Analyze complex financial datasets to extract actionable insights and develop predictive models, informing strategic decisions and enhancing our financial products and services. Experience with big data stacks like Apache Spark is crucial to managing and analyzing large-scale financial data effectively.
Key Skills: Python, data analysis, machine learning, statistical modeling, data visualization, big data technologies (e.g., Apache Spark), financial data experience.
5. MLOps Engineer
Role Overview: Streamline the deployment, monitoring, and maintenance of ML models in production. Develop continuous integration and delivery (CI/CD) pipelines to ensure scalable and reliable AI solutions.
Key Skills: Docker, Kubernetes, CI/CD tools (Jenkins, GitLab CI), cloud services (AWS, GCP), monitoring tools, Python.
6. Data Analyst
Role Overview: Interpret data and turn it into information that can offer ways to improve business, thus affecting business decisions. Work closely with various teams to identify analytical requirements.
Key Skills: SQL, data visualization tools (Tableau, Power BI), statistical analysis, Python/R, critical thinking.
Key Responsibilities Across All Roles:
Collaboration & Innovation: Engage with cross-functional teams to craft innovative solutions addressing the evolving challenges of the financial industry.
Continuous Learning: Stay abreast of the latest trends in AI, ML, data science, and design, integrating these advancements into your work to keep our solutions at the cutting edge.
Impactful Work: Contribute directly to projects transforming financial services, from enhancing client experiences to optimizing trading strategies.
Minimum Qualifications:
Bachelor’s, Master’s, or Ph.D. in relevant fields (Computer Science, Engineering, Data Science, Design, Business, etc.).
Proven proficiency in role-specific skills and tools.
Excellent communication, time management, and a proactive approach to learning and innovation.
Preferred Qualifications:
Demonstrated experience in the finance industry or with financial data.
Familiarity with agile methodologies and cross-functional team collaboration.
For technical roles: Experience with cloud computing platforms, big data technologies, and deploying AI models in production.
For design and product roles: A portfolio showcasing relevant projects.
Why Join Us?
Diverse Opportunities: With a range of roles available, find the position that aligns with your skills and career aspirations.
Innovative Environment: Be part of a team fostering creativity, collaboration, and groundbreaking research, pushing the boundaries of finance.
Professional Growth: Access continuous learning opportunities and work with the latest technologies in AI, ML, data science, and design.