Automotive
Research, develop, and implement state-of-the-art techniques in Large Language Models (LLMs) and Generative AI Analyze and process large amounts of natural language data to build robust AI solutions.
Perform exploratory data analysis to identify patterns, trends, and relationships within complex datasets. Deploy and serve open-source LLMs using vLLM for production use cases.
Stay current with the latest advancements in AI, machine learning, and generative models, and apply this knowledge to enhance existing models and methodologies.
Collaborate with cross-functional teams to design and execute projects that leverage LLMs for various applications, including text generation, summarization, translation, and more.
Work closely with automation and product teams to integrate AI solutions into their applications and platforms. Apply statistical techniques and data visualization methods to effectively communicate findings to stakeholders.
Deploy production-grade web applications with focus on scalability and reliability. Containerize applications using Docker and deploy on Google Cloud Platform (GCP).
Work with message queuing systems and distributed task processing frameworks
: 3+ years of professional experience in Machine Learning and AI.
: Strong expertise in Python, including proficiency with AI/ML libraries such as Scikit-learn, PyTorch and Transformers.
: Hands-on experience with FastAPI for building and deploying APIs. Cloud Platform: Strong experience with Google Cloud Platform (GCP) including deployment, management, and optimization of cloud-based applications.
NLP & Data: Proven experience analyzing and processing large amounts of natural language data.
: Hands-on experience with Docker for application containerization.
: Good experience deploying production-grade web applications with exposure to RabbitMQ and Celery. 8.
: Ability to work independently in a fast-paced environment across multiple time zones.
: Strong analytical and communication skills with ability to present findings to technical and non-technical stakeholders
Tanisha Systems, founded in 2002 in Massachusetts-*, is a leading provider of Custom Application Development and end-to-end IT Services to clients globally. We use a client-centric engagement model that combines local on-site and off-site resources with the cost, global expertise and quality advantages of off-shore operations. We deliver Custom Application Development, Application Modernization, Business Process Outsourcing and Professional IT Services from office locations in * and *.
Tanisha Systems services clients in Government, Banking & Financial Markets, Insurance, Healthcare, Retail & Consumer Goods, Energy & Utilities, Life Sciences, Telecom, Manufacturing and Transportation Industries around the globe. Our engagement model provides a flexible operational environment that empowers our clients with the right levels of control.
Want to read more about Tanisha Systems? Visit us at
www.tanishasystems.com