Chief AI Innovation Officer

3 days ago

Meerut, Uttar Pradesh, India beBeeArtificial Full time ₹ 15,00,000 - ₹ 25,00,000
AI Project Manager

Excelgig is seeking an experienced AI project manager to lead cutting-edge, large-scale projects and expand our global AI team.

Key Responsibilities:
  • Develop Custom Models: Design and develop custom machine learning and deep learning models for business-specific problems including NLP, computer vision, predictive modeling, recommendation systems, etc.
  • Maintain Scalable Pipelines: Build and maintain scalable AI/ML pipelines for data ingestion, preprocessing, training, testing, deployment, and monitoring.
  • Cross-Functional Collaboration: Collaborate with cross-functional teams across India and Europe to integrate AI solutions into real-world products.
  • High-Performance Deployment: Ensure high-performance, scalable, and production-ready deployment using MLOps practices.
  • Model Optimization: Optimize models with advanced techniques such as hyperparameter tuning, distributed training, and GPU optimization.
  • Research Initiatives: Contribute to research initiatives and adopt the latest innovations in LLMs, generative AI, and automation frameworks.
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.
  • Familiarity 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.

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