
Data Driven Insights Professional
21 hours ago
As a key member of our data-driven team, you will be instrumental in unlocking business growth through strategic insights and AI-powered solutions.
We are seeking an experienced professional with expertise in machine learning, deep learning, and large language models to join our mission.
- Main Responsibilities:
- Develop and deploy advanced machine learning and deep learning models to solve complex business problems.
- Implement and optimize Large Language Models (LLMs) and Generative AI solutions for real-world applications.
- Build agent-based AI systems with autonomous decision-making capabilities.
- Conduct cutting-edge research on emerging AI technologies and explore their practical applications.
- Required Skills & Qualifications:
- Masters or PhD in Computer Science, Data Science, Statistics, Mathematics, or a related field.
- 5+ years of hands-on experience in data science and machine learning, with a focus on real-world applications.
- 3+ years of experience working with deep learning frameworks and neural networks.
- 2+ years of experience with cloud platforms and full-stack development.
Tech Skills - Core AI/ML:
- 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.
- Agentic AI: Knowledge of multi-agent systems, reinforcement learning, and autonomous agents.
Tech Skills - Development & Infrastructure:
- 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.
- MLOps: Experience with MLflow, Kubeflow, model versioning, and A/B testing frameworks.
- Big Data: Expertise in Spark, Hadoop, Kafka, and streaming data processing.
Essential 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
- Cloud Platforms: AWS (SageMaker, EC2, S3, Lambda)
- Vector databases and embeddings (Pinecone, Weaviate, Chroma)
- Knowledge of LangChain, LlamaIndex, or similar LLM frameworks.
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