Technical Skills
Technical Skills
Technical Skills
NLP & Large Language Models:
Training, fine-tuning, and deploying LLMs (LlaMA 3/2/1 series, CodeLlama, BERT, GPT-4, Alpaca, Mistral, Solar, NVLM, Llava, Molmo).
Text Classification, Sequence Labeling, Text Generation, Transformers, Seq2Seq.
LoRa, PEFT, Adapter, PyTorch, DeepSpeed, Bitsandbtye, Accelerate.
Experience with enhancing models like LlaMA, BERT, GPT, Falcon, Mistral, and other transformer-based architectures.
Generative AI:
Generative AI techniques and applications (GANs, Text-to-Image Models, Generative Data Augmentation, Vision LLMs).
Generative models, Diffusion models. Parameter-efficient fine-tuning (PEFT), Retrieval-augmented generation (RAG).
Machine Learning & AI Frameworks
TensorFlow, PyTorch, Scikit-learn, and Keras.
Hugging Face Transformers and Apache Spark.
Attention Mechanisms, Transfer & Reinforcement Learning, Semi-supervised Learning
Data Science & Analytics:
Data cleaning and preprocessing.
Feature Engineering and selection.
Machine Learning Algorithms (Supervised, unsupervised, semi-supervised, reinforcement and transfer learning.).
Model evaluation and tuning (e.g., cross-validation, hyperparameter optimization).
Data visualization and storytelling (using tools like Tableau, Matplotlib).
Computer Vision
Image classification, object detection, semantic segmentation, anomaly detection.
OpenCV, YOLO, Faster R-CNN, SSD for vision tasks.
Software Engineering & DevOps:
MLOps practices for deploying and managing ML models in production.
MLflow, Docker, Kubernetes, GitHub, Jira, Agile, CI/CD Pipelines, Flask, REST APIs.
Building and managing data pipelines and ETL processes.
CI/CD pipelines for automated testing and deployment.
Collaboration and version control best practices.
Tools & Technologies:
Jupyter Notebook for interactive development.
Git/GitHub for version control.
Docker & Kubernetes for containerization and deployment of ML models.
AWS/GCP/Azure for cloud computing and scalable ML services.
Apache Kafka for real-time data streaming.
Anaconda for Environment Management.
Other Key Competencies:
Strong problem-solving and analytical skills.
Effective communication and collaboration within cross-functional teams
Experience working in agile and fast-paced environments.
Time Management.