AI Engineer
Summary
Designs and builds AI/ML models for finance clients, focusing on predictive analytics and automation using Python, TensorFlow, and cloud platforms.
At Link Group, we specialize in building tech teams for Fortune 500 companies and some of the world's most exciting startups. Our mission is to connect talented professionals with opportunities that align with their skills, interests, and career aspirations.
We are currently looking for an AI Engineer to join our team and work on innovative, cutting-edge artificial intelligence projects for global clients.
About the Project
The project involves developing AI-powered solutions for the finance/stock exchange industry, focusing on predictive analytics, data-driven decision-making, and advanced automation. You will work on leveraging state-of-the-art machine learning and deep learning technologies to create impactful solutions.
Tech Stack
- Python (NumPy, Pandas, TensorFlow, PyTorch)
- Machine Learning frameworks (Scikit-learn, XGBoost)
- Natural Language Processing (NLP) tools
- Cloud platforms (AWS, Azure, GCP)
- Big Data technologies (Hadoop, Spark)
- Docker, Kubernetes
What We Offer
- Tailored opportunities to match your professional interests and goals.
- A leadership role in a dynamic and collaborative work environment.
- Access to exciting and diverse projects for global clients.
- Competitive compensation aligned with your expertise.
- Ongoing opportunities for professional growth and development.
If you're ready to take on a leadership role and work on groundbreaking projects in the IT industry, we'd love to hear from you!
Apply today and join us at Link Group to make an impact!
Must-Have Qualifications
- At least 3+ years of experience in AI/ML development.
- Strong proficiency in Python and relevant ML/DL libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Solid understanding of machine learning algorithms, data preprocessing, and feature engineering.
- Experience with deploying AI models in production environments.
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform.
- Knowledge of version control tools like Git.
- Strong problem-solving and analytical skills.
- Good command of English.
Nice to Have
- Experience with Natural Language Processing (NLP) tools and techniques.
- Knowledge of reinforcement learning or generative AI models.
- Familiarity with Big Data technologies like Hadoop or Spark.
- Understanding of DevOps practices and CI/CD pipelines for AI/ML workflows.
- Academic background in Computer Science, AI, Data Science, or related fields.