AI/ML Engineer

We are looking for a skilled AI/ML Engineer to design, develop, and deploy scalable Artificial Intelligence and Machine Learning solutions. The ideal candidate will have strong experience in machine learning, deep learning, Generative AI, MLOps, and cloud platforms such as AWS or Azure. The role involves working closely with Data Scientists, Data Engineers, and business stakeholders to build innovative AI-driven products and solutions.

Key Responsibilities:

Develop, train, evaluate, and deploy machine learning models for various business use cases.

Build predictive analytics, recommendation systems, forecasting models, and anomaly detection solutions.

Design and implement Generative AI applications using Large Language Models (LLMs).

Develop Retrieval-Augmented Generation (RAG) solutions and AI-powered chatbots.

Perform data preprocessing, feature engineering, model tuning, and performance optimization.

Build scalable data pipelines for AI and ML workloads.

Deploy and manage machine learning models in production environments.

Implement MLOps best practices, including model monitoring, versioning, and CI/CD automation.

Collaborate with cross-functional teams to gather requirements and deliver AI solutions.

Ensure model reliability, scalability, security, and compliance with organizational standards.

Required Skills:

Python, SQL

Machine Learning and Deep Learning

TensorFlow, PyTorch, Scikit-Learn

Generative AI, LLMs, Prompt Engineering

LangChain, LlamaIndex, RAG

Apache Spark / PySpark

Docker, Kubernetes

MLflow, Kubeflow

AWS or Azure Cloud

Git, CI/CD Pipelines

Preferred Skills:

Experience with OpenAI, Llama, Claude, or similar LLMs

Vector Databases (Pinecone, ChromaDB, Weaviate, FAISS)

MLOps and Model Monitoring

Data Engineering and ETL Pipelines

AI Governance and Responsible AI

Qualifications:

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or related field.

5+ years of experience in AI/ML development and deployment.

Experience building and deploying production-grade AI solutions.

Soft Skills:

Strong analytical and problem-solving abilities.

Excellent communication and stakeholder management skills.

Ability to work independently and in a collaborative environment.

Strong ownership mindset and attention to detail.