
AI Innovations Manager
1 day ago
Excelgig, a leading digital solutions partner, is hiring to expand their global AI team. We are seeking an experienced AI Specialist with strong expertise in custom model development, training and end-to-end pipeline creation.
This is a unique opportunity to contribute to impactful large-scale AI solutions while working with an international team.
Key Responsibilities- Design and Develop Custom Models: Design and develop custom machine learning and deep learning models for business-specific problems (NLP, computer vision, predictive modeling, recommendation systems, etc.).
- Build Scalable AI Pipelines: Build and maintain scalable AI/ML pipelines for data ingestion, preprocessing, training, testing, deployment, and monitoring.
- Collaborate with Cross-Functional Teams: Collaborate with cross-functional teams across India and Europe to integrate AI solutions into real-world products.
- Ensure High-Performance Deployment: Ensure high-performance, scalable, and production-ready deployment using MLOps practices.
- Optimize Models: Optimize models with advanced techniques (hyperparameter tuning, distributed training, GPU optimization).
- Bachelor's/Master's Degree: Bachelor's/Master's degree in Computer Science, Artificial Intelligence, Data Science, or related field.
- Hands-on Experience: 5+ years of hands-on experience in developing AI/ML solutions.
- Programming Expertise: Strong programming expertise in Python and frameworks like PyTorch, TensorFlow, Scikit-learn, Hugging Face.
- Proven Track Record: Proven track record in building and managing ML pipelines (Airflow, Kubeflow, MLflow, Prefect, etc.).
- Data Preprocessing: Proficiency in data preprocessing, feature engineering, and model evaluation techniques.
- Cloud Platforms: Hands-on experience with cloud AI/ML platforms (AWS Sagemaker, Azure ML, or GCP Vertex AI).
- Containerization: Familiarity with containerization and orchestration (Docker, Kubernetes).
- Large Language Model Experience: Experience in fine-tuning Large Language Models (LLMs).
- Real-Time Data Processing: Exposure to real-time/streaming data processing (Kafka, Spark Streaming).
- Microservices Development: Knowledge of microservices and API development for model integration.
- Generative AI Techniques: Experience with generative AI and reinforcement learning techniques.
- Start Date: Immediate start date.
- Equipment: The candidate must have their own laptop/device to work with.
We Offer:
- International Projects: Work on international AI projects.
- Competitive Salary: Competitive salary and growth opportunities.
- Flexible Working Culture: Remote-first, flexible working culture with cross-border collaboration.
- Access to Research Tools: Access to cutting-edge AI research and tools.
- Autonomy and Creativity: A chance to own end-to-end AI solutions with autonomy and creativity.
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