Artificial Intelligence Engineer

Job Title: AI Research Engineer (Algorithms & Machine Learning)

Location : Pune, MH

Employment Type: Full-Time

Experience 4-8Years

About the Role

We are seeking an innovative and highly skilled AI Research Engineer with strong expertise in algorithm design, machine learning, deep learning, and applied AI research . The ideal candidate will be responsible for developing advanced AI models, conducting research, designing scalable algorithms, and transforming research concepts into production-ready solutions.

This role combines scientific research, mathematical modeling, and software engineering to solve complex business and technical challenges using Artificial Intelligence.

Key Responsibilities

• Design, develop, and optimize AI/ML algorithms for real-world applications.
• Research and implement state-of-the-art techniques in:
• ◦ Machine Learning
• ◦ Deep Learning
• ◦ Generative AI
• ◦ Natural Language Processing (NLP)
• ◦ Computer Vision
• ◦ Reinforcement Learning
• Develop novel algorithms to improve model accuracy, efficiency, and scalability.
• Conduct experiments, benchmark models, and evaluate algorithm performance.
• Build prototypes and proof-of-concepts for emerging AI technologies.
• Analyze large-scale datasets and create data-driven solutions.
• Collaborate with data scientists, software engineers, and product teams.
• Publish research findings, technical documentation, and best practices.
• Stay updated with the latest advancements in AI research and academic literature.
• Convert research innovations into production-grade AI solutions.
• Required Qualifications
• Education
• Master's or Ph.D. in:
• ◦ Computer Science
• ◦ Artificial Intelligence
• ◦ Machine Learning
• ◦ Applied Mathematics
• ◦ Data Science
• ◦ Related Technical Field
• Technical Skills
• Strong foundation in:
• ◦ Algorithms
• ◦ Data Structures
• ◦ Probability & Statistics
• ◦ Linear Algebra
• ◦ Optimization Techniques
• Experience with Machine Learning frameworks:
• ◦ PyTorch
• ◦ TensorFlow
• ◦ Keras
• ◦ Scikit-Learn
• Proficiency in Python and one of:
• ◦ C++
• ◦ Java
• ◦ Scala
• Experience working with:
• ◦ Large Language Models (LLMs)
• ◦ Transformer Architectures
• ◦ RAG Systems
• ◦ Agentic AI Frameworks
• Algorithm Development Experience
• Candidates should have hands-on experience in:
• Algorithm Design and Analysis
• Graph Algorithms
• Search and Optimization Algorithms
• Recommendation Systems
• NLP Algorithms
• Deep Learning Architectures
• Reinforcement Learning Algorithms
• Evolutionary Computing
• Distributed Computing Algorithms
• Large-scale Data Processing Algorithms
• Model Compression and Optimization Techniques
• Preferred Qualifications
• Publications in top AI conferences/journals such as:
• ◦ NeurIPS
• ◦ ICML
• ◦ ICLR
• ◦ CVPR
• ◦ ACL
• ◦ EMNLP
• Experience in Generative AI and Foundation Models.
• Familiarity with MLOps and model deployment pipelines.
• Experience with GPU optimization and distributed training.
• Open-source AI project contributions.
• Key Competencies
• Strong analytical and problem-solving skills.
• Research-oriented mindset.
• Innovation and creativity.
• Excellent communication and collaboration abilities.
• Ability to work independently and in cross-functional teams.
• Passion for emerging AI technologies.
• Metrics
• Development of innovative AI algorithms and models.
• Improvement in model performance and scalability.
• Research contributions and patents/publications.
• Successful deployment of AI solutions into production.
• Impact on business outcomes through AI-driven innovation.