Description

You will design, develop, and deploy machine learning and deep learning models, including NLP, computer vision, and predictive analytics solutions.

This role is on-site.

Responsibilities

• Train, test, and evaluate models for accuracy, scalability, and performance using TensorFlow, PyTorch, or Scikit-learn.
• Fine-tune pre-trained models like LLMs and transformers for specific business use cases.
• Deploy models into production via APIs, containers, or microservices, ensuring optimal latency and cost efficiency.
• Build and maintain CI/CD pipelines for ML workflows (MLOps) using Jenkins, GitLab CI, or GitHub Actions.
• Monitor model performance, drift, and reliability in production environments on AWS.

Required Skills

• 5+ years of experience in software engineering or data science.
• Strong proficiency in Python, Java, or Scala.
• Hands-on experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Practical knowledge of MLOps, ETL processes, and data pipelines.
• Experience with containerization (Docker) and orchestration (ECS/EKS).
• Familiarity with SQL and NoSQL databases.
• Experience with CI/CD tools including Jenkins, GitLab CI, or GitHub Actions.
• Bachelor's degree in Computer Science or related field.

Preferred Skills

• Experience with prompt engineering and working with LLMs (OpenAI, Hugging Face).
• Familiarity with distributed systems and large-scale data processing.

Key Skills

Education

Bachelor's degree