Job Description

7 - 9 Years
1 Opening
Bangalore


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Role description

Description:


Collaborate with cross-functional teams, including data scientists and product managers, to acquire, process, and manage data for AI/ML model integration and optimization.

Design and implement robust, scalable, and enterprise-grade data pipelines to support state-of-the-art AI/ML models.

Debug, optimize, and enhance machine learning models, ensuring quality assurance and performance improvements.

Familiarity with tools like Terraform, CloudFormation, and Pulumi for efficient infrastructure management.

Create and manage CI/CD pipelines using Git-based platforms (e.g., GitHub Actions, Jenkins) to ensure streamlined development workflows.

Operate container orchestration platforms like Kubernetes, with advanced configurations and service mesh implementations, for scalable ML workload deployments.

Design and build scalable LLM inference architectures, employing GPU memory optimization techniques and model quantization for efficient deployment.

Engage in advanced prompt engineering and fine-tuning of large language models (LLMs), focusing on semantic retrieval and chatbot development.

Document model architectures, hyperparameter optimization experiments, and validation results using version control and experiment tracking tools like MLflow or DVC.

Research and implement cutting-edge LLM optimization techniques, such as quantization and knowledge distillation, ensuring efficient model performance and reduced computational costs.

Collaborate closely with stakeholders to develop innovative and effective natural language processing solutions, specializing in text classification, sentiment analysis, and topic modeling.

Design and execute rigorous A/B tests for machine learning models, analyzing results to drive strategic improvements and decisions.


o Stay up-to-date with industry trends and advancements in AI technologies, integrating new methodologies and frameworks to continually enhance the AI engineering function. o Contribute to creating specialized AI solutions in healthcare, leveraging domain-specific knowledge for task adaptation and deployment.


SKILLS AND COMPETENCIES


Technical Skills: o Advanced proficiency in Python


Experience with big data processing using Spark for large-scale data analytics

Version control and experiment tracking using Git and MLflow

Software Engineering & Development: Advanced proficiency in Python, familiarity with Go or Rust, expertise in microservices, test-driven development, and concurrency processing.

DevOps & Infrastructure: Experience with Infrastructure as Code (Terraform, CloudFormation), CI/CD pipelines (GitHub Actions, Jenkins), and container orchestration (Kubernetes) with Helm and service mesh implementations.

LLM Infrastructure & Deployment: Knowledge in LLM serving platforms such as vLLM and FastAPI, model quantization techniques, and vector database management.

MLOps & Deployment: Utilization of containerization strategies for ML workloads, experience with model serving tools like TorchServe or TF Serving, and automated model retraining.

Cloud & Infrastructure: Strong grasp of advanced cloud services (AWS, GCP, Azure) and network security for ML systems.


o LLM Project Experience: Experience in developing chatbots, recommendation systems, translation services, and optimizing LLMs for performance and security. o General Skills: Python, SQL, knowledge of machine learning frameworks (Hugging Face, TensorFlow, PyTorch), and experience with cloud platforms like AWS or GCP. o Experience in creating LLD for the provided architecture.


Experience working in microservices based architecture.


o Experience working in Observability. Professional Competencies: o Strong analytical thinking with ability to solve complex challenges


Excellent communication skills for presenting technical findings to diverse audiences

Experience translating business requirements into data science solutions


o Strong collaboration abilities for working with cross-functional teams o Dedication to staying current with latest ML research and best practices


Ability to mentor and share knowledge with team members Primary Skill Set Python, FastAPI, Microservices , SQL/No SQL, MLOps & Deployment, Kubernetes, Obeservability LLM, , Vector DB(Qdrant, Chromadb, stc), RAG,
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Skills

Platform,Artificial Intelligence,Digital Platform,Python



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About UST

UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world's best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients' organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact--touching billions of lives in the process.