AI - GR - Sr Software Engineer - JR201050

Technical Skills:

• Advanced proficiency in Python with expertise in data science libraries (NumPy, Pandas, scikit-learn) and deep learning frameworks (PyTorch, TensorFlow)
• Extensive experience with LLM frameworks (Hugging Face Transformers, LangChain) and prompt engineering techniques
• 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: Proficiency 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.
• LLM Project Experience: Expertise in developing chatbots, recommendation systems, translation services, and optimizing LLMs for performance and security.
• General Skills: Python, SQL, knowledge of machine learning frameworks (Hugging Face, TensorFlow, PyTorch), and experience with cloud platforms like AWS or GCP.
• Experience in creating LLD for the provided architecture.
• Experience working in microservices based architecture.
• Domain Expertise:
• Strong mathematical foundation in statistics, probability, linear algebra, and optimization
• Deep understanding of ML and LLM development lifecycle, including fine-tuning and evaluation
• Expertise in feature engineering, embedding optimization, and dimensionality reduction
• Advanced knowledge of A/B testing, experimental design, and statistical hypothesis testing
• Experience with RAG systems, vector databases, and semantic search implementation
• Proficiency in LLM optimization techniques including quantization and knowledge distillation
• Understanding of MLOps practices for model deployment and monitoring
• Professional Competencies:
• Strong analytical thinking with ability to solve complex ML challenges
• Excellent communication skills for presenting technical findings to diverse audiences
• Experience translating business requirements into data science solutions
• Project management skills for coordinating ML experiments and deployments
• Strong collaboration abilities for working with cross-functional teams
• Dedication to staying current with latest ML research and best practices
• Ability to mentor and share knowledge with team members
• THE CARELON PROMISE
• Aligning with our brand belief of ‘limitless minds are our biggest asset’, we offer a world of limitless opportunities to our associates.
• It is our strong belief that one is committed to a role when it is not just what the role entails, but also what lies in its periphery that completes the value circle for an associate.
• This world of limitless opportunities thrives in an environment that fosters growth and well-being, and gives you purpose and the feeling of belonging.
• LIFE @ CARELON
• Extensive focus on learning and development
• An inspiring culture built on innovation, creativity, and freedom.
• Holistic well-being
• Comprehensive range of rewards and recognitions
• Competitive health and medical insurance coverage
• Best-in-class amenities and workspaces
• Policies designed with associates at the center.
• EQUAL OPPORTUNITY EMPLOYER
• Carelon is committed to a diverse and inclusive workplace and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other characteristics.
• Reasonable Accommodation
• Our inclusive culture empowers Carelon to deliver the best results for our customers. We not only celebrate the diversity of our workforce, but we also celebrate the diverse ways we work.
• If you have a disability and need accommodation such as an interpreter or a different interview format, please ask for the Reasonable Accommodation Request Form.
• Disclaimer: Offered designation titles differ
• Job Type: