Mindfire Solutions
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Mumbai · On-site · 5-8 Yrs · 2 days ago
Computer Hardware Development · 51 to 200 Employees · New Delhi, India
Hiring: Engineering
What employees say
+ Mindfire solutions is the good company It provides good work culture
− Sometimes you won’t have projects so have to take training and can assigned any project
More reviews on the company profile.
Interview experience · Sr Test Automation Engineer
Interview 1- oops concept, coding Received offer letter Received call from HR( Padmavati), 6 days back from joining date. They scheduled another technical round, interviewer ( Shrikant Diwedi) he was bullying me and ver
Average difficulty · Noida · 173 reports
More interview insightsJob description
Overview
About the Job As a Lead AI/ML Engineer, you spearhead the design, development, and implementation of advanced AI and machine learning models.
Qualifications
- Skills: Hands-on expertise in NLP, Computer Vision, programming, and related concepts. Leadership: Capable of leading and mentoring a team of AI engineers and researchers, setting strategies for AI model development and deployment, and ensuring these align with business goals. Technical Proficiency: Proficient in implementing and optimizing advanced AI solutions using Deep Learning and NLP, with tools such as TensorFlow, PyTorch, Spark, and Keras. LLM Experience:
- Experience with Large language Models like GPT 3.5, GPT 4, Llama, Gemini, Mistral, etc. along with
- experience in LLM integration frameworks like LangChain, Llamaindex, AgentGPT, etc. Deep Learning OCR:
- Extensive experience implementing solutions using Deep Learning OCR algorithms. Neural Networks: Working
- knowledge of Artificial Neural Networks (ANNs), Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Generative Adversarial Networks (GANs). Python Expertise: Strong coding skills in Python, including related frameworks, best practices, and design patterns. Preferred Knowledge:
- Familiarity with word embeddings, transformer models, and image/text generation and processing. Deployment: Experience deploying AI/ML solutions as a service or REST API endpoints on Cloud or Kubernetes. Development Methodologies: Proficient in development methodologies and writing unit tests in Python. Cloud:
- Knowledge of cloud computing platforms and services, such as AWS, Azure, or Google Cloud.
- Experience with information security and secure development best practices. Qualifications
- Bachelor's or higher degree in Computer Science, Engineering, Mathematics, Statistics, Physics, or a related field. 8+ years in IT with a focus on AI/ML practices and background.
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Job application FAQ
Last updated 27 October 2026
- How do I apply for Lead Engineer - AI/ML at Mindfire Solutions?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Mindfire Solutions may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Lead Engineer - AI/ML role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Lead Engineer - AI/ML remote or on-site in Mumbai, Maharashtra?
- This listing is marked on_site with location Mumbai, Maharashtra. Confirm details on the job description before applying.
- What skills matter for this Lead Engineer - AI/ML role at Mindfire Solutions?
- This is a lead Lead Engineer - AI/ML role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.