Senior AI/ML Specialist

1 day ago

Noida, Uttar Pradesh, India beBeeMachineLearning Full time ₹ 12,00,000 - ₹ 36,00,000

Job Overview:

We are seeking an experienced AI/ML leader to spearhead our organization's artificial intelligence initiatives. This role involves end-to-end ownership of AI/ML projects, from strategy development to deployment and optimization of large-scale systems.

Key Responsibilities:

  • Lead and mentor a high-performing AI/ML team, providing guidance on technical strategies and fostering collaboration among team members.
  • Develop and execute AI/ML strategies aligned with business goals, leveraging data-driven insights to inform decision-making.
  • Collaborate with cross-functional teams to identify opportunities for AI-driven innovation and develop solutions that meet business needs.
  • Design and deploy ML models in production environments, ensuring scalability and reliability.
  • Manage the operations of large-scale AI systems, including LLMs and other AI models, using modern cloud and MLOps tools.
  • Implement scalable and automated ML pipelines, utilizing technologies such as Kubeflow or MLRun.
  • Containerize and orchestrate AI applications using Docker and Kubernetes.
  • Optimize compute resources for training and inference tasks, leveraging GPUs, TPUs, and CPUs.
  • Develop efficient RAG pipelines with low latency and high retrieval accuracy.
  • Automate CI/CD workflows for continuous integration and delivery of ML systems.

Required Skills & Expertise:

Cloud Computing & Deployment
  • Proficiency in AWS, Google Cloud, or Azure for scalable model deployment.
  • Familiarity with cloud-native services like AWS SageMaker, Google Vertex AI, or Azure ML.
  • Expertise in Docker and Kubernetes for containerized deployments.
  • Experience with Infrastructure as Code (IaC) using tools like Terraform or CloudFormation.
Machine Learning & Deep Learning
  • Strong command of frameworks: TensorFlow, PyTorch, Scikit-learn, XGBoost.
  • Experience with MLOps tools for integration, monitoring, and automation.
  • Expertise in pre-trained models, transfer learning, and designing custom architectures.
Programming & Software Engineering
  • Strong skills in Python (NumPy, Pandas, Matplotlib, SciPy) for ML development.
  • Backend/API development with FastAPI, Flask, or Django.
  • Database handling with SQL and NoSQL (PostgreSQL, MongoDB, BigQuery).
  • Familiarity with CI/CD pipelines (GitHub Actions, Jenkins).
Scalable AI Systems
  • Proven ability to build AI-driven applications at scale.
  • Handle large datasets, high-throughput requests, and real-time inference.
  • Knowledge of distributed computing: Apache Spark, Dask, Ray.
Model Monitoring & Optimization
  • Hands-on with model compression, quantization, and pruning.
  • A/B testing and performance tracking in production.
  • Knowledge of model retraining pipelines for continuous learning.
Resource Optimization
  • Efficient use of compute resources: GPUs, TPUs, CPUs.
  • Experience with serverless architectures to reduce cost.
  • Auto-scaling and load balancing for high-traffic systems.
Problem-Solving & Collaboration
  • Translate complex ML models into user-friendly applications.
  • Work effectively with data scientists, engineers, and product teams.
  • Write clear technical documentation and architecture reports.

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