Data Scientist- GenAI

Job Description

Job Description

Mandatory Skills    AI/ML, DL, NLP, Lang chain, Mistral, Llama, Vector DB, Azure/GCP/Lambda, Python, Tensorflow, Pytorch
Preferred Skills    GPT-4, NumPy, Pandas, Keras, Neural Networks, Databricks, Pinecone/Chroma/Weaviate, Scale/Labelbox
Job Description / Roles & Responsibilities (in Detail)    
•    Strong understanding of machine learning and deep learning principles and algorithms.
•    Experience in developing and implementing generative AI models and algorithms.
•    Proficiency in programming languages such as Python, TensorFlow, and PyTorch.
•    Ability to work with large datasets and knowledge of data preprocessing techniques.
•    Familiarity with natural language processing (NLP) and computer vision for generative AI applications.
•    Experience in building and deploying generative AI systems in real-world applications.
•    Utilize advanced machine learning techniques to develop and train generative AI models.
•    Decode the Requirements to functional modules and product features 
•    Pipeline building integration and testing following the SDLC process
•    Collaborate with cross-functional teams to groom and preprocess large datasets for model training.
•    Research and implement cutting-edge algorithms and architectures for generative AI applications.
•    Optimize model performance and scalability for real-time inference and deployment.
Stay current with industry trends and advancements in generative AI technology to drive innovation.
•    Experiment with different hyperparameters and model configurations to improve generative AI model quality.
•    Establish scalable, efficient, automated processes for data analyses, model development, validation and implementation,
•    Choose suitable DL algorithms, software, hardware and suggest integration methods. 
•    Ensure AI ML solutions are developed, and validations are performed in accordance with Responsible AI guidelines & Standards
•    To closely monitor the Model Performance and ensure Model Improvements are done post Project Delivery
•    Provide technical expertise and guidance to support the integration of generative AI solutions into various products and services.
•    Strong problem-solving and critical thinking skills for complex AI problems.
•    Excellent communication and teamwork abilities to collaborate with cross-functional teams."