About DigitalAPICraft

DigitalAPICraft(DAC)is a fast-growing product company and a preferred Google ISV partner. We are one of the Top 10 Companies in “Deloitte Technology Fast 50 Companies India, 2018” and recently recognised in the Gartner Market guide as one of the leading API portal providers. DAC offers an AI-enabled API Marketplace platform that empowers enterprises to maximize the strategic value of their digital ecosystems. Born from the passion and expertise of a team of tech enthusiasts, we have emerged as a global force in the API and cloud engineering space. With our global presence, we serve clients across diverse industries, including banking, insurance, telecom, energy, healthcare, retail, and media.

Data Scientist - AI/ML

Responsibilities

Job Description :

• Design, develop, and deploy generative AI models using GCP (Google Cloud Platform), Python, SQL, Vertex AI, and other relevant technologies.
• Collaborate with cross-functional teams to understand business requirements and develop tailored generative AI solutions that address specific use cases.
• Utilize machine learning techniques to train generative models on large datasets and generate realistic and creative outputs.
• Implement natural language processing (NLP) algorithms and techniques to enhance the capabilities of generative AI models.
• Create interactive data visualizations to showcase the outputs of generative models and communicate insights effectively to stakeholders.
• Conduct performance tuning and optimization of generative AI models to ensure scalability, efficiency, and quality of outputs.
• Stay updated on the latest advancements in generative AI, machine learning, and related technologies, and contribute to research and development efforts.
• Mentor junior team members and collaborate with peers to foster a culture of learning and innovation.
  
  

Requirements

Must Have:

• Proficiency in GCP (Google Cloud Platform), Python, SQL, and Vertex AI.
• Strong understanding of machine learning concepts and algorithms and experience with classical ML models
• Experience with data visualization techniques and tools to communicate insights effectively.
• Familiarity with natural language processing (NLP) techniques and libraries.
• Demonstrated experience in developing and deploying machine learning models in a professional setting.
  
  

Good To Have

• Experience with LLM (Large Language Models) prompt tuning to optimize generative AI models.
• Experience in terraform to deploy infrastructure using CI/CD pipelines
• Knowledge of vector databases and their applications in managing and analyzing large datasets.
• Familiarity with RAG (Retrieval-Augmented Generation) models and their use cases.
• Understanding of langchains (Language Model Chains) and their implications for generative AI.
  
  

Education And Experience

• Bachelor's degree or higher in Computer Science, Data Science, or a related field.
• Minimum of 3 - 5 years of experience in machine learning, or a related role.