Senior Machine Learning Engineer

Uniphore is one of the largest B2B AI-native companies—decades-proven, built-for-scale and designed for the enterprise. The company drives business outcomes, across multiple industry verticals, and enables the largest global deployments.  
Uniphore infuses AI into every part of the enterprise that impacts the customer. We deliver the only multimodal architecture centered on customers that combines Generative AI, Knowledge AI, Emotion AI, workflow automation and a co-pilot to guide you. We understand better than anyone how to capture voice, video and text and how to analyze all types of data.  
As AI becomes more powerful, every part of the enterprise that impacts the customer will be disrupted. We believe the future will run on the connective tissue between people, machines and data: all in the service of creating the most human processes and experiences for customers and employees. 
About the position 
Uniphore is looking for a Machine Learning Engineer (MLE) who is passionate about working in areas of NLP and MLOps. You will develop platform services as per design specification and deploy generative AI models by developing pipelines for their data, prompts, optimizations and model serving. In this role as a member of the technical staff, you will be expected to guide colleagues on project planning and execution, multitask effectively across several projects and teams, and expand the sphere of influence beyond the immediate team to influence solutions. You will collaborate with AI scientists and platform engineers to come up with innovative and cross-disciplinary solutions to infuse LLM technology within the Uniphore products. You should be knowledgeable of Conversational AI artifacts, predictive modelling techniques and a penchant for putting solutions together using the latest tech stack. The ideal candidate also has deep industry experience using MLOps frameworks in model versioning, model deployment and model optimizations. 
Skills & Responsibilities
• Hands-on experience in developing production-ready ML services and operationalizing model lifecycle management.
• Build, deploy & monitor end-to-end AI applications
• Learn, develop, and deploy cutting-edge AI/LLM technologies to achieve business objectives
• Own end-to-end pipelines in production and work with cross-functional support towards customer success
• Hands-on development of reliable, efficient code for AI applications
• Perform data ingestion, pre-processing, analysis, and feature engineering with focus on quality and reliability
• Automate software components through stages of AI lifecycle - data management (quality, governance), model Ops (development, testing, serving and monitoring), AI platform adoption (solution & metrics)
• Optimize & scale AI products and services for latency, throughput, concurrency, traceability and maintenance.
• Implement AI solutions for batch and online algorithms with automatic performance testing and A B testing
• Continuous learning and incorporate advancements in machine learning techniques to improve AI solutions and products
• In-depth knowledge of LLM optimization and service techniques
• Expertise in developing and packaging models to services
• Familiar with Transformers, and used Hugging face library and LLMs to solve NLP problems
Relevant Technologies
• ML: Hugging Face, PyTorch/TensorFlow
• MLOPs: Hands-on experience with any of the MLOPs frameworks (Sagemaker, DeepSpeed, Seldon, DVC, etc.)
• Deployment: Docker, AWS. • Datastores: Postgres, S3.
• LLM: Familiarity with multiple LLMs and optimization techniques (PEFT, LoRA, etc.) 
Who You Are
• You hold a Masters with 2 years of experience in ML Engineering or MLOps or 3 - 4 years of relevant industry experience with degree in Computer Science, Engineering, Statistics & Applied Mathematics, or related fields.
• You have demonstrated experience in building and deploying AI solutions at scale in real-world applications.
• You have worked with large amounts of data and developed approaches to address quality issues, and the ability to interpret data with a focus on business goals.
• You have solid experience in Python programming
• You have demonstrated collaboration and teamwork to solve hard problems.
• You can learn new skills and share know-how with team members to empower and elevate.
Benefits 
Uniphore offers a competitive offer and premium benefits, including insurance, leave and other perks.