Job Title: AI/ML Developer

Job Summary

We are looking for a talented AI/ML Developer to design, develop, and deploy machine learning and artificial intelligence solutions. The ideal candidate should have experience in data preprocessing, model development, deployment, and optimization using modern AI frameworks and cloud technologies.

Key Responsibilities

• Design, build, and deploy machine learning and deep learning models.
• Analyze structured and unstructured datasets to derive actionable insights.
• Develop predictive models using supervised and unsupervised learning techniques.
• Build and optimize NLP and computer vision applications.
• Fine-tune and deploy Large Language Models (LLMs) for AI applications.
• Create AI-powered APIs and integrate models into web and mobile applications.
• Perform feature engineering, data cleaning, and model evaluation.
• Monitor model performance and retrain models as required.
• Collaborate with software developers, data engineers, and business stakeholders.
• Document AI solutions and maintain technical documentation.
• Stay updated with the latest advancements in AI and machine learning.

Required Skills

Programming

• Python (Mandatory)
• SQL
• Java/C++ (Preferred)

Machine Learning

• Scikit-learn
• TensorFlow
• PyTorch
• XGBoost
• LightGBM

Deep Learning

• CNN
• RNN
• LSTM
• Transformers

Generative AI

• Large Language Models (LLMs)
• Prompt Engineering
• Retrieval-Augmented Generation (RAG)
• AI Agents
• Fine-tuning LLMs
• Vector Databases (Pinecone, ChromaDB, FAISS)

NLP

• Hugging Face Transformers
• spaCy
• NLTK

Data Processing

• Pandas
• NumPy
• Apache Spark (Preferred)

MLOps

• MLflow
• Docker
• Kubernetes
• CI/CD
• Model Monitoring

Cloud Platforms

• AWS
• Azure
• Google Cloud Platform (GCP)

Databases

• PostgreSQL
• MySQL
• MongoDB

APIs

• FastAPI
• Flask
• REST APIs

Version Control

• Git
• GitHub
• GitLab

Qualifications

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• 2–5+ years of experience in AI/ML development (adjust based on role level).
• Strong understanding of machine learning algorithms and statistical modeling.
• Experience deploying AI models to production.
• Knowledge of software engineering best practices.

Preferred Qualifications

• Experience with LLM frameworks such as LangChain or LlamaIndex.
• Experience with cloud AI services.
• Familiarity with MLOps pipelines.
• Knowledge of reinforcement learning.
• Experience working with distributed systems.

Soft Skills

• Strong analytical and problem-solving abilities.
• Excellent communication skills.
• Team collaboration.
• Time management.
• Continuous learning mindset.

Nice to Have

• Experience with AI agents and multi-agent systems.
• Experience with multimodal AI (text, image, audio).
• Knowledge of vector search and semantic retrieval.
• Open-source contributions in AI/ML.
• AI certifications from AWS, Azure, Google Cloud, or similar providers.