Job Description

Job Summary:

We are looking for a skilled and results-driven Applied AI Engineer with 2–5 years of experience to design, develop, and deploy AI-powered solutions. The ideal candidate should have hands-on experience in machine learning, deep learning, and real-world AI applications. You will work on solving business problems using advanced AI techniques and collaborate with cross-functional teams to deliver scalable and efficient solutions.

Key Skills & Technologies :

Artificial Intelligence, Machine Learning, Deep Learning, NLP, Computer Vision, Python, TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy, Data Engineering, Feature Engineering, Model Deployment, MLOps, REST APIs, Microservices, Docker, Kubernetes, SQL, NoSQL, Cloud (AWS/GCP/Azure), LLMs, Generative AI, OpenAI, LangChain, Prompt Engineering, Model Optimization

Job Description (JD):

• Design, develop, and deploy end-to-end AI and machine learning solutions
• Build, train, and optimize machine learning and deep learning models
• Integrate AI systems into production environments and existing applications
• Ensure scalability, performance, and reliability of deployed AI solutions
• Work with large datasets for data preprocessing, feature engineering, and analysis
• Monitor model performance and implement continuous improvement strategies
• Collaborate with cross-functional teams to translate business needs into AI solutions
• Select appropriate algorithms, frameworks, and tools for different use cases
• Mentor and guide junior engineers and team members
• Stay updated with the latest advancements in AI, machine learning, and industry best practices

Roles & Responsibilities:

• Design, develop, and deploy machine learning and AI models 
• Work on NLP, Computer Vision, and Generative AI use cases 
• Perform data preprocessing, feature engineering, and model tuning 
• Build scalable AI pipelines and production-ready solutions 
• Deploy models using APIs, microservices, or cloud platforms 
• Collaborate with product, engineering, and business teams 
• Monitor model performance and implement improvements 
• Mentor freshers and junior engineers 
• Stay updated with the latest advancements in AI/ML technologies 

Eligibility Criteria:

• Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field 
• 2–5 years of hands-on experience in AI/ML development 
• Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch, etc.) 
• Experience in deploying ML models in production 
• Knowledge of data structures, algorithms, and software engineering practices 
• Experience with cloud platforms (AWS, Azure, or GCP) 
• Strong analytical, problem-solving, and communication skills