We are looking for a highly skilled Principal AI/ML Engineer with 8+ years of experience to design, develop, and deploy machine learning models and AI-driven solutions. You will bridge the gap between data science and software engineering by building scalable, production-ready AI systems.

Key Responsibilities

Design, develop, and deploy machine learning and deep learning models for real-world use cases
Build and maintain data pipelines and preprocess large datasets for modeling
Optimize model performance, accuracy, and scalability
Implement algorithms using frameworks such as TensorFlow, PyTorch, or Scikit-learn
Develop and manage MLOps pipelines for model deployment and monitoring
Analyze data, run experiments, and evaluate model performance
Collaborate with data scientists, engineers, and product teams
Integrate AI models into production applications and APIs
Monitor and improve production models based on feedback and performance metrics
Stay up to date with the latest trends in AI, ML, and Generative AI

Requirements

Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related field
8+ years of overall experience, including hands-on AI/ML development
Solid understanding of machine learning and deep learning concepts, data structures, algorithms, and statistics
Experience working with large datasets and distributed systems

Skills

Technical Skills

Python (mandatory)
TensorFlow, PyTorch, Scikit-learn
Cloud platforms (AWS, Azure, or GCP)
Data engineering and ETL pipelines
MLOps tools (MLflow, Docker, CI/CD)

Soft Skills

Strong analytical and problem-solving skills
Ability to work in a fast-paced, agile environment
Excellent communication and stakeholder management
Ownership mindset with a focus on business impact

Nice to Have

Experience in NLP, Computer Vision, or Generative AI (LLMs, RAG, GPT-based systems)
Knowledge of Big Data tools (Spark, Hadoop)
Exposure to API development and microservices architecture
Experience with model optimization and deployment at scale

Benefits

Work on cutting-edge AI and Generative AI projects
Build production-grade AI systems
Collaborative, innovation-driven environment
Competitive compensation and remote flexibility

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