AI Engineer

Talent Linked Consultancy; Navi Mumbai; On-site; INR 600,000 - 900,000; Full time

Job summary

Talent Linked Consultancy in Navi Mumbai invites an AI Engineer to join our Engineering & Software Development team. The role targets building AI/ML solutions across HRMS products, with a focus on automation, NLP, and predictive analytics.

We seek 1–2 years of hands-on experience, strong Python skills, and familiarity with ML frameworks. This full-time position operates from our Navi Mumbai office with standard office hours.

Qualifications

• Bachelors degree in Computer Science, AI, Data Science, IT, or related field

Responsibilities

• Design, develop, and deploy AI/ML models for HRMS and enterprise applications
• Build AI-powered automation features for recruitment, payroll, attendance, performance management, and analytics
• Work on Generative AI, NLP, chatbot development, and recommendation systems
• Integrate AI APIs and third-party AI platforms into existing applications
• Develop predictive analytics and intelligent reporting systems
• Collaborate with product, development, and business teams for AI feature implementation
• Optimize AI model performance, scalability, and accuracy
• Research and implement latest AI technologies and automation trends
• Ensure data security, model reliability, and system efficiency

Skills

Python

AI/ML frameworks

TensorFlow

PyTorch

Scikit-learn

LangChain

Generative AI

LLM integrations

REST APIs

SQL NoSQL databases

Cloud platforms

Education

B.Sc IT

B.Tech/B.E. in any specialization

Job description

Navi Mumbai, India | Posted on 06/15/2026

Department: Engineering & Software Development

Employment Type: Full Time

Role Category: SoftwareImplementation

Experience: 1 - 2 years

Office timing: 09:30 AM to 06:30 PM

Role Overview

We are looking for a passionate and innovative AI Engineer with 1-2 years of experience to develop, integrate, and optimize AI-driven solutions across our products and platforms. The candidate will work on automation, machine learning models, generative AI integrations, predictive analytics, and intelligent workflow systems to enhance our HRMS ecosystem.

Key Responsibilities

• Design, develop, and deploy AI/ML models for HRMS and enterprise applications
• Build AI-powered automation features for recruitment, payroll, attendance, performance management, and analytics
• Work on Generative AI, NLP, chatbot development, and recommendation systems
• Integrate AI APIs and third-party AI platforms into existing applications
• Develop predictive analytics and intelligent reporting systems
• Collaborate with product, development, and business teams for AI feature implementation
• Optimize AI model performance, scalability, and accuracy
• Research and implement latest AI technologies and automation trends
• Ensure data security, model reliability, and system efficiency

Required Skills & QualificationsTechnical Skills

• Strong knowledge of Python and AI/ML frameworks
• Experience with Machine Learning, Deep Learning, and NLP
• Hands-on experience with libraries/frameworks like TensorFlow, PyTorch, Scikit-learn, LangChain, etc.
• Experience in Generative AI and LLM integrations
• Knowledge of REST APIs and AI service integrations
• Familiarity with SQL/NoSQL databases
• Understanding of cloud platforms such as AWS, Azure, or Google Cloud
• Knowledge of chatbot and automation tools is an added advantage.

Preferred Qualifications

• Bachelors degree in Computer Science, AI, Data Science, IT, or related field
• 1-2 years of hands-on experience in AI/ML development
• Experience working on enterprise applications or HRMS platforms preferred
• Strong analytical and problem-solving abilities
• Good communication and teamwork skills

Added Advantage

• Image recognition
• AI predictions
• Face recognition systems
• Predictive analytics in HRMS
• AI chatbot in HRMS
• Resume screening AI
• HR chatbot answering employee queries

Education :

B.Sc in IT, B.Tech / B.E. in Any Specialization

Key Skills

Skills highlighted with ‘‘ are preferred key skills

Open AI Prompt Engineering, tensor flows, Generative Aipytorch, LLM, ML, Deep Learning, Python