About the Role
We are looking for an AI Engineer with 2+ years of experience to develop, deploy, and research AI/ML solutions for real-world applications. The role involves a combination of AI engineering, experimentation, applied research, and technology development.
Experience: 2+ Years
Employment Type: Full-time
Location: Kanpur
Key Responsibilities
- Design, develop, train, evaluate, and deploy AI/ML models and solutions.
- Build end-to-end AI pipelines from data preparation and experimentation to deployment and monitoring.
- Research and evaluate new AI/ML models, algorithms, architectures, and emerging technologies.
- Read and implement ideas from research papers and technical publications.
- Develop PoCs and prototypes to validate new AI/ML approaches.
- Benchmark models and approaches and optimize for accuracy, performance, scalability, and efficiency.
- Develop production-ready AI services and APIs using Python and relevant frameworks.
- Collaborate with engineering and domain teams to integrate AI solutions into products and platforms.
- Contribute to technical reports, research publications, patents, and internal R&D initiatives, where applicable.
Required Skills
- Strong proficiency in Python and good software engineering fundamentals.
- Strong understanding of Machine Learning and Deep Learning concepts.
- Hands-on experience with PyTorch, TensorFlow, scikit-learn, or equivalent frameworks.
- Experience in developing and deploying AI/ML models.
- Understanding of model evaluation, experimentation, and optimization.
- Familiarity with Generative AI, LLMs, Transformers, RAG, embeddings, or AI agents is desirable.
- Familiarity with Git, Linux, Docker, REST APIs, and cloud/GPU environments is preferred.
- Ability to read, understand, and implement research papers.
- Strong analytical, problem-solving, and research skills.
Qualifications
- Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, Electronics, or a related field.
- 2+ years of relevant professional experience in AI/ML or a related domain.
- Demonstrated experience with at least one end-to-end AI/ML project.
- Research publications, patents, open-source contributions, or significant AI/ML projects are a plus.