Senior Machine Learning & AI Engineer (Generative AI)
Bengaluru, Karnataka
Applications have closed
SkyPoint Cloud
SkyPoint’s mission is to bring people and data together. At SkyPoint Cloud, we are passionate about helping data teams solve the world's toughest problems — from value-based care analytics in healthcare to revenue operations in hospitality industry. We do this by building and running the world's best unified data and AI industry SaaS platform so our customers can use deep data insights to improve their business.
As a ML & AI Engineer at SkyPoint, you'll contribute to creating cutting-edge infrastructure utilizing Databricks, MLflow, and OpenAI. Your role involves automating data retrieval, feature extraction, model training, and deployment on a large scale. You'll evaluate new ML & AI technologies and collaborate with other engineers to improve the AI/ML infrastructure.
Responsibilities:
Create a state-of-the-art ML pipeline for data retrieval, preprocessing, feature extraction, model training, and deployment.Design and implement a CI/CD pipeline for model training and deployment to production.Build a monitoring platform to evaluate and retrain models if necessary.Lead technical roadmap and evolve the ML infrastructure.Own and develop various modules in the ML pipeline.
Requirements:
7+ years of experience in developing mission-critical applications using Java, Python, or similar OOP languages.2+ years of experience in building ML and data pipeline architecture.2+ years of experience in AI, NLP (GPT 3.5), and ML.Strong knowledge of TensorFlow, PyTorch, and Keras ML frameworks.Strong SQL and NoSQL database knowledge.Proven track record of delivering successful software projects from conception to production.Strong understanding of data structures and algorithms.
Education:
MS/PhD in Computer Science & Engineering from a top-tier school (IITs, RECs, etc.)Perks of working with us:
· Opportunity to work with a US-based fast-growing healthcare SaaS start-up on Azure cloud.· Competitive total compensation package including equity and performance-based bonus plans.· Industry-focused certifications and ongoing training opportunities.· Flexi work hours plus enjoy the benefit of having your workstation at your home.· Add-On Internet reimbursement within corporate guidelines.· Company happy hours and fun team-building activities.· Meal cards, other incentives, and gift hampers.· Awards and recognition programs.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Azure CI/CD Computer Science Databricks Engineering Generative AI GPT GPT-3 Java Keras Machine Learning MLFlow ML infrastructure Model training NLP NoSQL OOP OpenAI PhD Python PyTorch SQL TensorFlow
Perks/benefits: Competitive pay Equity Salary bonus Startup environment Team events
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