ML Developer/ Engineer

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 a Machine Learning (ML) Developer/Engineer to join our team and work on innovative AI-driven projects for global clients.

About the Project

The project involves developing and deploying machine learning models for the finance/stock exchange industry, focusing on predictive analytics, fraud detection, and automated trading strategies. You will work with large-scale datasets and cutting-edge AI frameworks to build intelligent solutions that drive business insights.

Tech Stack

• Programming Languages: Python, R, Scala
• ML Frameworks: TensorFlow, PyTorch, Scikit-learn
• Big Data Tools: Spark, Hadoop
• Cloud Platforms: AWS, GCP, Azure
• Databases: SQL, NoSQL, PostgreSQL, MongoDB
• MLOps: Docker, Kubernetes, MLflow, CI/CD pipelines

What We Offer

• Tailored opportunities to match your professional interests and goals.
• A dynamic and collaborative work environment.
• Access to exciting and diverse projects for global clients.
• Competitive compensation aligned with your expectations.
• Ongoing opportunities for professional growth and development.

If you're ready to take on new challenges 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 machine learning development.
• Proficiency in Python or R, with experience in ML libraries such as TensorFlow, PyTorch, or Scikit-learn.
• Strong understanding of machine learning algorithms, deep learning, and statistical modeling.
• Experience with big data tools such as Spark or Hadoop.
• Hands-on experience with SQL/NoSQL databases and data processing pipelines.
• Knowledge of MLOps, including model deployment, versioning, and monitoring.
• Experience working with cloud platforms (AWS, GCP, or Azure).
• Good command of English.

Nice to Have

• Experience with computer vision or NLP.
• Familiarity with reinforcement learning techniques.
• Background in real-time data processing and streaming frameworks like Kafka.
• Knowledge of DevOps practices, containerization (Docker, Kubernetes), and CI/CD for ML.
• A degree in Computer Science, Data Science, or a related field.