URGENT OPENING AIML ENGINEER

CoreOps.AI; Dadri; On-site; INR 800,000 - 1,200,000; Full time

Benefits offered by this job

Competitive compensation package

Opportunities for professional growth

Collaborative work culture

Job summary

A next-generation technology company is seeking a highly motivated Software Engineer to contribute to AI-powered enterprise solutions. The ideal candidate holds a Bachelor's degree and has 2 years of software development experience, with a focus on Natural Language Processing and Machine Learning. This role offers a competitive compensation package and opportunities for professional growth within a collaborative and innovative work environment.

Qualifications

• 2 years of experience with software development in one or more programming languages.
• 1 year of experience with Natural Language Processing (NLP) concepts.
• 1 year of experience with ML infrastructure.

Responsibilities

• Collaborate with peers through design and code reviews.
• Triage product or system issues and debug/track/resolve.
• Implement NLP solutions and contribute to model optimization.

Skills

Software development

Natural Language Processing (NLP)

Machine Learning (ML)

Data structures

Algorithms

Education

Bachelor’s degree or equivalent

Job description

CoreOps.AI is a new age company founded by highly experienced leaders from the technology industry with a vision to be the most compelling technology company that modernizes enterprise core systems and operations.

Website: https://coreops.ai

CoreOps is building the AI operating system for enterprises - accelerating modernization by 50% and cutting costs by 25% through intelligent automation, data orchestration, and legacy transformation.

At CoreOps.AI, we believe in the quiet power of transformation—like the dandelion that seeds change wherever it lands.

Inspired by this symbol of resilience and growth, our enterprise AI solutions are designed to take root seamlessly, enrich core operations, and spark innovation across your business. Founded by industry veterans with deep B2B expertise and a track record of scaling global tech businesses, CoreOps.AI brings the power of agentic AI to modernize legacy systems, accelerate digital transformation, and shape the future of intelligent enterprises.

Job Description

Overview:

We are seeking a highly motivated and experienced Software Engineer who writes product or system development code with AL/ML.

About CoreOps.AI

CoreOps.AI is a next-generation technology company focused on building AI-powered, scalable enterprise solutions. We combine intelligent automation and data-driven strategies to help businesses achieve modernization and efficiency.

Key Responsibilities:

• Collaborate with peers and stakeholders through design and code reviews to ensure best practices among available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
• Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
• Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
• Implement NLP solutions, utilize ML infrastructure, and contribute to model optimization and data processing.

We offer:

A competitive compensation package, including base salary, performance-based commissions, and benefits. Opportunities for professional growth, training, and career advancement in a dynamic and rapidly evolving industry. Collaborative and inclusive work culture that values teamwork, innovation, and a strong commitment to customer success.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree in an industry setting.
• 2 years of experience with data structures or algorithms in either an academic or industry setting.
• 1 year of experience with Natural Language Processing (NLP) concepts or techniques.
• 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).