Artificial Intelligence Development Specialist

5 days ago


Mysore, Karnataka, India beBeeArtificial Full time US$ 1,50,000 - US$ 1,75,000
Job Title:

AI Solutions Developer


Job Description:

Excelgig is seeking an experienced AI solutions developer to join its international team. The ideal candidate will have a strong background in machine learning and deep learning, with expertise in designing and developing custom models for business-specific problems.

The successful candidate will work on large-scale AI projects, collaborating with cross-functional teams across India and Europe. They will be responsible for building and maintaining scalable pipelines, ensuring high-performance and production-ready deployment using MLOps practices.

The role requires strong programming skills in Python and frameworks like PyTorch, TensorFlow, Scikit-learn, Hugging Face. Proficiency in data preprocessing, feature engineering, and model evaluation techniques is also essential.


Requirements:
  • Bachelor's/Master's in Computer Science, Artificial Intelligence, Data Science, or related field.
  • 5+ years of hands-on experience in developing AI/ML solutions.
  • Strong programming expertise in Python and frameworks like PyTorch, TensorFlow, Scikit-learn, Hugging Face.
  • Proven track record in building and managing ML pipelines (Airflow, Kubeflow, MLflow, Prefect, etc.).
  • Proficiency in data preprocessing, feature engineering, and model evaluation techniques.
  • Hands-on experience with cloud AI/ML platforms (AWS Sagemaker, Azure ML, or GCP Vertex AI).
  • Familiarity with containerization and orchestration (Docker, Kubernetes).

Benefits:
  • Work on international AI projects with Unicorn Labs B.V. (Netherlands).
  • Competitive salary and growth opportunities.
  • Remote-first, flexible working culture with cross-border collaboration.
  • Access to cutting-edge AI research and tools.
  • A chance to own end-to-end AI solutions with autonomy and creativity.

Preferred Skills:
  • Experience in fine-tuning Large Language Models (LLMs).
  • Exposure to real-time/streaming data processing (Kafka, Spark Streaming).
  • Knowledge of microservices and API development for model integration.
  • Experience with generative AI and reinforcement learning techniques.


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