AI Solutions Specialist

2 days ago

Madurai, Tamil Nadu, India beBeeArtificial Full time US$ 1,00,000 - US$ 1,50,000

Highly skilled AI professionals are in high demand, and this role offers a unique opportunity to contribute to large-scale AI solutions.

This position requires strong expertise in custom model development and end-to-end pipeline creation.

The ideal candidate will have the ability to design and develop custom machine learning and deep learning models for business-specific problems.

We are seeking someone who can build and maintain scalable AI/ML pipelines, collaborate with cross-functional teams, ensure high-performance deployment, and optimize models using advanced techniques.

The successful candidate will also be able to contribute to research initiatives, adopt the latest innovations, document technical processes, and have proficiency in data preprocessing, feature engineering, and model evaluation techniques.

Responsibilities
  • Develop custom machine learning and deep learning models for business-specific problems (NLP, computer vision, predictive modeling, recommendation systems, etc.).
  • Build and maintain scalable AI/ML pipelines for data ingestion, preprocessing, training, testing, deployment, and monitoring.
  • Collaborate with cross-functional teams to integrate AI solutions into real-world products.
  • Ensure high-performance, scalable, and production-ready deployment using MLOps practices.
  • Optimize models with advanced techniques (hyperparameter tuning, distributed training, GPU optimization).
  • Contribute to research initiatives and adopt the latest innovations in LLMs, generative AI, and automation frameworks.
  • Document technical processes, architectures, and pipeline workflows for reproducibility and knowledge sharing.

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).
  • Strong problem-solving ability and ability to work independently in a remote, fast-paced environment.

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.

We offer a competitive salary and growth opportunities, flexible working culture, access to cutting-edge AI research and tools, and a chance to own end-to-end AI solutions with autonomy and creativity.

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