AI Research Engineer

Job Title: AI Research Engineer (Algorithms & Machine Learning) Location: Pune, MHEmployment Type: Full-TimeExperience 4-8YearsAbout the RoleWe 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 ResponsibilitiesDesign, 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 LearningDevelop 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 EducationMaster's or Ph.D. in:
• Computer Science
• Artificial Intelligence
• Machine Learning
• Applied Mathematics
• Data Science
• Related Technical FieldTechnical SkillsStrong foundation in:
• Algorithms
• Data Structures
• Probability & Statistics
• Linear Algebra
• Optimization TechniquesExperience with Machine Learning frameworks:
• PyTorch
• TensorFlow
• Keras
• Scikit-LearnProficiency in Python and one of:
• C++
• Java
• ScalaExperience working with:
• Large Language Models (LLMs)
• Transformer Architectures
• RAG Systems
• Agentic AI FrameworksAlgorithm Development ExperienceCandidates should have hands-on experience in:Algorithm Design and AnalysisGraph AlgorithmsSearch and Optimization AlgorithmsRecommendation SystemsNLP AlgorithmsDeep Learning ArchitecturesReinforcement Learning AlgorithmsEvolutionary ComputingDistributed Computing AlgorithmsLarge-scale Data Processing AlgorithmsModel Compression and Optimization TechniquesPreferred QualificationsPublications in top AI conferences/journals such as:
• NeurIPS
• ICML
• ICLR
• CVPR
• ACL
• EMNLPExperience 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 CompetenciesStrong 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.MetricsDevelopment 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.