AI/ML Engineer

About the Role

We are seeking an experienced Data Scientist (AI/ML) with over 4-8 years of experience specializing in Artificial Intelligence (AI) and Machine Learning (ML) to join our team. This is a position with a hybrid work environment, providing flexibility and collaboration opportunities. The successful candidate will play a pivotal role in shaping and leading AI/ML initiatives within our organization.

Responsibilities

• Advanced proficiency in Python.
• 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.

Required Skills

• At least 4+ years of total & relevant experience in AI/ML or a related field.
• 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.

Preferred Qualifications

Prior experience in industries leveraging AI/ML technologies would be advantageous.

Mandatory Skill Sets

• GenAI / LLM Engineers (Python, FastAPI, Microservices, K8s, RAG, VectorDBs)

Preferred Skill Sets

• AI/ML
• Machine Learning
• GEN AI
• Agentic AI

Years of Experience Required

Experience: 4-8 Years

Education Qualification

B.Tech / M.Tech / MCA/MBA

Key Skills/Competency

• AI/ML Engineering
• Python
• LLM Frameworks
• Prompt Engineering
• Big Data Processing (Spark)
• DevOps
• Cloud Platforms (AWS, GCP, Azure)
• Microservices
• MLOps
• Generative AI