Python / AI-ML Developer
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Job Overview
| Particulars | Details |
|---|---|
| Position | Python / AI-ML Developer |
| Company | Mindlytic AI |
| Location | Surat |
| Job Type | Full-Time |
| Experience | 1 - 2 years |
| Category / Department | IT |
| Application Mode |
π’ About Mindlytic AI
Company Overview:
Mindlytic AI is an AI engineering firm operating across Jersey City, New Jersey, and Surat, Gujarat. The company focuses on building and deploying production-ready AI systems, with expertise across AI agents, RAG and retrieval, voice AI, workflow automation, and full-stack AI products. Its work spans industries including hospitality, fintech, insurance, MSP, real estate, and healthcare, with particular depth in insurance claims and regulated healthcare systems.
Company Mission:
To build and deliver production-ready AI systems that create measurable value for clients and real users.
Company Vision:
Not Provided
Core Values / Principles
Production-first AI development
Senior engineering expertise
Evaluations before features
Transparency and accountability
IN1/A Dan Ashish Society, Katargam, Surat, Gujarat
π‘ Editor's Note / Preparation Tip
Resume Tips:
Highlight professional Python development experience prominently.
Mention specific NLP and Generative AI projects.
Include FastAPI/Flask and REST API development experience.
Clearly list AWS, GCP, or Azure experience.
Add measurable results from AI/ML projects wherever possible.
Mention production deployments and real-world AI applications if applicable.
Interview Preparation:
Revise advanced Python concepts and practical coding.
Prepare NLP fundamentals and real-world NLP use cases.
Study Generative AI concepts, LLMs, prompting, embeddings, and AI application architecture.
Review FastAPI/Flask and REST API design.
Prepare cloud architecture and deployment questions for AWS, GCP, and Azure.
Be ready to explain previous AI/ML projects, technical decisions, challenges, and production outcomes.
Professional Tips:
Tailor your resume specifically toward Python and AI/ML development.
Showcase production-ready AI projects rather than only academic experiments.
Clearly state your experience with cloud platforms and backend APIs.
Since the role is onsite, ensure your resume/application clearly reflects your availability for Surat.
π Job Description
Position Details:
Mindlytic AI is looking for a Python / AI-ML Developer to contribute to production-focused artificial intelligence projects. The position requires hands-on experience with Python, NLP, Generative AI, backend API development, and cloud technologies.
The developer will work on AI products designed for real users and business applications, contributing to systems that move from development into production.
Benefits / Compensation
Competitive salary
Growth opportunities
Collaborative work environment
Opportunity to work with experienced engineering professionals
Exposure to advanced AI projects
Smart and experienced teammates
Candidate Requirements:
2+ years of professional experience
Strong Python development skills
Knowledge of NLP
Experience or understanding of Generative AI
Experience with FastAPI or Flask
Understanding of REST API development
Familiarity with cloud platforms such as AWS, GCP, or Azure
Strong analytical and problem-solving abilities
Preferred Skills:
Python
Natural Language Processing (NLP)
Generative AI
FastAPI
Flask
REST APIs
AWS
Google Cloud Platform (GCP)
Microsoft Azure
Working Days & Hours:
Not Provided
How to Apply:
Interested candidates can apply by sending their application to hr@mindlyticai.com.
π― Key Responsibilities
- β Develop and maintain Python-based AI/ML applications.
- β Build and integrate NLP and Generative AI solutions.
- β Develop backend services and REST APIs using FastAPI, Flask, or similar frameworks.
- β Integrate AI solutions with cloud-based infrastructure.
- β Contribute to production-ready AI products and applications.
- β Collaborate with experienced engineers on AI product development.
- β Help design, implement, and improve reliable AI systems.
- β Apply software engineering best practices throughout the development lifecycle.
π‘ Required Qualifications & Skills
π Career Guidance & Interview Insights
To help you succeed, we've compiled original preparation guides, resume keywords, and growth analytics for this category of role.
Joining as a Python / AI-ML Developer offers a fantastic opportunity to work at the forefront of technological innovation. You will be exposed to modern software development lifecycles, collaborate with cross-functional product teams, and design scalable architectures that directly impact end-users. The continuous learning curve in tech ensures that your programming, debugging, and system engineering skills remain highly marketable and sharp.
The career roadmap in technology is highly rewarding. Typical progression starts as a Junior Software Engineer, moving to Associate Developer and then Senior Software Engineer (3-6 years). From there, professionals choose between an individual contributor trackβbecoming a Tech Lead, Staff Engineer, and Principal Architectβor a management track, advancing to Engineering Manager, Director of Engineering, and Chief Technology Officer (CTO).
Expected Technical & Behavioral Questions:
- Q1: How do you optimize database query performance?
Answer Tip: Talk about indexing strategies, query execution plan analysis, avoiding N+1 queries, and implementing caching layers (like Redis). - Q2: Explain the differences between Microservices and Monolithic architecture.
Answer Tip: Highlight scaling advantages, loose coupling, independent deployments, network latency considerations, and data consistency challenges in microservices. - Q3: How do you handle merge conflicts in Git?
Answer Tip: Explain checking out the local branch, pulling the latest main branch, running git merge, opening the conflicted files to resolve blocks manually, and committing the resolved merge.
To pass automated ATS (Applicant Tracking System) screening and catch the recruiter's eye, tailor your resume with the following tips:
- Keywords to include: Software Engineering, SDLC, OOP, CI/CD Pipelines, SQL databases, Agile, Unit Testing, Code Review, Cloud Architectures (AWS/Azure).
- Format: Use a clean, single-column resume format. Avoid graphics, text boxes, or tables which can scramble ATS parser outputs.
- Quantify Results: Instead of writing 'wrote code', write 'Developed a caching system that reduced server response times by 35%.'
Estimated compensation for this role type in India is βΉ3,50,000 - βΉ6,00,000 per annum (Freshers/Entry level). The actual salary package offered depends on factors such as company size, work mode (remote or on-site), individual technical proficiency, and negotiations during final HR rounds.
Highly recommended certifications include: AWS Certified Solutions Architect, Microsoft Certified: Azure Fundamentals, Certified Kubernetes Administrator (CKA), Oracle Certified Professional Java SE, or tech-stack specific achievements (e.g. Meta Front-End Developer certification).
Frequently Asked Questions
What position is Mindlytic AI hiring for?
Mindlytic AI is hiring for a Python / AI-ML Developer position.
How much experience is required?
Candidates should have at least 2 years of experience.
Where is the position located?
The position is based in Surat, Gujarat.
Is the position onsite or remote?
The job is an onsite, work-from-office position in Surat.
What programming language is required?
Strong Python development skills are required.
What AI technologies should candidates know?
Candidates should have knowledge or experience in NLP and Generative AI.
Which backend frameworks are mentioned in the job requirements?
FastAPI and Flask are specifically mentioned.
Is REST API experience required?
Yes. Experience with REST API development is part of the stated technical requirements.
Which cloud platforms are relevant to this position?
AWS, GCP, and Azure are the cloud platforms mentioned.
How can candidates apply for the position?
Candidates can apply by emailing their application to hr@mindlyticai.com.
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