Creospan-Senior AI Engineer

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
• .