Senior AI/ML Engineer Position

5 days ago

Bengaluru, Karnataka, India beBeeDataAnalyst Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Job Opportunity: Advanced Data Analyst Role

This esteemed role demands a seasoned expert in machine learning and deep learning, equipped to craft cutting-edge AI solutions that drive real-world impact. As an advanced data analyst, you will leverage your technical prowess to build sophisticated models that address complex business challenges.


Responsibilities:
  • Pioneering AI/ML Development & Research: Design, develop, and deploy innovative machine learning and deep learning models to tackle intricate business problems.
  • Leading Large Language Models (LLMs) and Generative AI Solutions: Implement and optimize LLMs and Generative AI for practical applications.
  • Driving Agent-Based AI Systems: Construct agent-based AI systems with autonomous decision-making capabilities.
  • Fostering Cutting-Edge Research: Conduct pioneering research on emerging AI technologies and explore their practical applications.
  • Evaluating Model Performance: Perform model evaluation, validation, and continuous optimization to ensure superior performance.

Key Qualifications:
  • Advanced Education: Master's or PhD in Computer Science, Data Science, Statistics, Mathematics, or a related field.
  • Proven Experience: 5+ years of hands-on experience in data science and machine learning, with a focus on real-world applications.
  • Deep Learning Expertise: 3+ years of experience working with deep learning frameworks and neural networks.
  • Cloud Infrastructure Mastery: 2+ years of experience with cloud platforms and full-stack development.

Core Technical Skills:
  • Machine Learning: Proficient in Scikit-learn, XGBoost, LightGBM, and advanced ML algorithms.
  • Deep Learning: Expertise in TensorFlow, PyTorch, Keras, CNNs, RNNs, LSTMs, and Transformers.
  • Large Language Models: Experience with GPT, BERT, T5, fine-tuning, and prompt engineering.
  • Generative AI: Hands-on experience with Stable Diffusion, DALL-E, text-to-image, and text generation models.

Development & Infrastructure Expertise:
  • Programming: Expertise in Python, with proficiency in R, Java/Scala, JavaScript/TypeScript.
  • Cloud Platforms: Proficient with AWS (SageMaker, EC2, S3, Lambda), Azure ML, or Google Cloud AI.
  • Databases: Proficiency with SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Cassandra, DynamoDB).
  • Full-Stack Development: Experience with React/Vue.js, Node.js, FastAPI, Flask, Docker, Kubernetes.

Technical Requirements:
  • Cloud Infrastructure - ML/AI solutions on AWS, Azure, or GCP
  • Build and maintain ML pipelines using cloud services (SageMaker, ML Engine, etc.)
  • Implement CI/CD pipelines for ML model deployment and monitoring
  • Work with both SQL and NoSQL databases (PostgreSQL, MongoDB, Cassandra, etc.)
  • Machine Learning: Scikit-learn
  • Deep Learning: TensorFlow
  • Programming: Python (expert), R, Java/Scala, JavaScript/TypeScript

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