IN-Senior Associate_ AI/ML Engineer __ Data & Analytics _ Advisory _Gurugram

Job Description & Summary: A career within Data and Analytics services will provide you with the opportunity to help organizations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organizational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organizations to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.  

Responsibilities: 

Position: AI/ML Engineer / Senior Associate 
Experience: 4-8 Years 
Location: Gurugram 
Type: Full Time 
Certifications: NA 

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 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. 

Key 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