AI Research Engineer

Creospan Inc.; Pune District; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

Creospan Inc. in Pune is seeking an AI Research Engineer (Algorithms & ML) to design and optimize advanced AI models, develop scalable algorithms, and translate research into production-ready solutions.

The role requires a strong background in probability, statistics, ML/deep learning, and hands-on experience with Python. You will collaborate with data scientists and software engineers to push the boundaries of applied AI.

Qualifications

• Master's or PhD in a related technical field.
• Strong foundation in Probability & Statistics.
• Experience with Machine Learning frameworks.
• Proficiency in Python and one of the listed techniques.

Responsibilities

• Design, develop, and optimize AI/ML algorithms for real-world applications.
• Research and implement state-of-the-art techniques in AI/ML.
• 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.

Skills

Probability & Statistics

Python

Machine Learning

Deep Learning

Algorithm Design

Distributed Computing

NLP Algorithms

Reinforcement Learning

Graph Algorithms

Search & Optimization

Education

Master's or PhD in related technical field

Job description

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:
• 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:
• Related Technical Field
• Technical Skills
• Strong foundation in:
• Probability & Statistics
• Experience with Machine Learning frameworks:
• Proficiency in Python and one of:
• Experience working with:
• Algorithm Development Experience
• Candidates should have hands-on experience in:
• Algorithm Design and Analysis
• Graph Algorithms
• Search and Optimization Algorithms
• Recommendation Systems
• NLP Algorithms
• 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:
• 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.
• 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.