Creospan-Senior AI Engineer

Nexthire; Pune District; On-site; INR 2,400,000 - 4,200,000; Full time

Job summary

Nexthire is seeking an AI Research Engineer–Algorithms & Machine Learning in Pune, India. The role focuses on advanced AI/ML algorithm development, researching state-of-the-art methods, and translating research into scalable production solutions.

Ideal candidates will have strong Python and ML/DL framework experience, plus familiarity with LLMs, Transformers, and RAG. Collaboration across data science, software, and product teams is essential.

Qualifications

• Master's or Ph.D. in Computer Science, AI, ML, Data Science, Applied Mathematics or related field.
• Strong programming skills in Python and proficiency in at least one of C++, Java, or Scala.
• Hands-on experience with ML/DL frameworks (PyTorch, TensorFlow, Keras, Scikit-learn).
• Experience with LLMs, Transformers, RAG, and Agentic AI frameworks.
• Experience designing and deploying production-grade AI solutions.

Responsibilities

• Design, develop, and optimize AI/ML algorithms for real-world applications.
• Research and implement state-of-the-art techniques in ML/DL, NLP, CV, and RL.
• Develop novel algorithms to improve model accuracy, efficiency, scalability, and performance.
• Build prototypes and PoCs for emerging AI technologies.
• Collaborate with data scientists, software engineers, and product teams.

Skills

Python

C++

Java

Scala

Algorithms & Data Structures

Probability & Statistics

Linear Algebra

Optimization Techniques

Machine Learning

Deep Learning

NLP

Computer Vision

Reinforcement Learning

LLMs

Transformers

Education

Master's degree in Computer Science/Artificial Intelligence/Data Science/Applied Mathematics

Ph.D. in a related technical field

Tools

PyTorch

TensorFlow

Keras

Scikit-learn

GPU optimization

Job description

AI Research Engineer – Algorithms & Machine Learning

Location: Pune, Maharashtra
Employment Type: Full-Time
Experience: 4–8 Years

About the Role

We are looking for an AI Research Engineer with strong expertise in algorithm development, machine learning, deep learning, and applied AI research. The ideal candidate will work on developing advanced AI/ML solutions, researching emerging techniques, designing scalable algorithms, and translating research concepts into production-ready applications.

This role combines research, mathematical modeling, algorithm engineering, and software development to solve complex technical and business problems 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, scalability, and performance.
• Conduct experiments, benchmark models, and analyze algorithm performance.
• Build prototypes and Proofs of Concept (PoCs) for emerging AI technologies.
• Work with large-scale datasets to develop data-driven AI solutions.
• Design and implement LLM, Transformer, RAG, and Agentic AI solutions.
• Collaborate with Data Scientists, Software Engineers, and Product teams.
• Convert research innovations and prototypes into production-grade AI solutions.
• Document research findings, technical approaches, experiments, and best practices.
• Stay updated with the latest advancements in AI research, algorithms, and academic literature.

Required Qualifications

Education

Master's or Ph.D. in any of the following or a related technical field:

• Computer Science
• Artificial Intelligence
• Machine Learning
• Data Science
• Applied Mathematics
• Computational Science

Technical Skills

• Strong programming expertise in Python.
• Proficiency in at least one of C++, Java, or Scala.
• Strong understanding of:
  • Algorithms & Data Structures
  • Probability & Statistics
  • Linear Algebra
  • Optimization Techniques
• Hands-on experience with ML/DL frameworks such as:
  • PyTorch
  • TensorFlow
  • Keras
  • Scikit-learn
• Strong knowledge of Machine Learning and Deep Learning architectures.
• Experience with Large Language Models (LLMs), Transformers, RAG, and Agentic AI frameworks.

Algorithm Development Experience

Candidates should have hands-on experience in one or more of the following:

• Algorithm Design & Analysis
• Graph Algorithms
• Search & Optimization Algorithms
• Recommendation Systems
• NLP Algorithms
• Deep Learning Architectures
• Reinforcement Learning
• Evolutionary Computing
• Distributed Computing Algorithms
• Large-scale Data Processing
• Model Compression & Optimization

Preferred Qualifications

• Experience working with Generative AI and Foundation Models.
• Experience with MLOps and model deployment pipelines.
• Hands-on experience with GPU optimization and distributed model training.
• Research publications in reputed AI/ML conferences or journals such as:
  • NeurIPS
  • ICML
  • ICLR
  • CVPR
  • ACL
  • EMNLP
• Contributions to open-source AI/ML projects.
• Experience developing and deploying AI solutions in production environments.

Key Competencies

• Strong analytical and problem-solving abilities.
• Research-oriented and innovative mindset.
• Strong understanding of mathematical and computational concepts.
• Ability to design and evaluate complex algorithms.
• Creativity and passion for emerging AI technologies.
• Strong communication and collaboration skills.
• Ability to work independently as well as in cross-functional teams.

Success Metrics

Success in this role will be measured through:

• Development of innovative AI algorithms and models.
• Improvements in model accuracy, efficiency, and scalability.
• Successful conversion of research concepts into production solutions.
• Research contributions, patents, publications, or open-source contributions.
• Successful deployment and adoption of AI solutions.
• Measurable business impact through AI-driven innovation.

Ideal Candidate

The ideal candidate is an AI/ML researcher-engineer who combines strong theoretical knowledge with hands-on software engineering skills. They should be comfortable working on algorithmic problems, experimenting with emerging AI technologies, and taking AI solutions from research/prototype stage to production.