- Expertini Resume Scoring: Our Semantic Matching Algorithm evaluates your CV/Résumé before you apply for this job role: QualityKiosk Technologies Machine Learning Engineer Python/Tensorflow.
Urgent! QualityKiosk Technologies - Machine Learning Engineer - Python/Tensorflow Job Opening In Mumbai – Now Hiring Quality Kiosk Technologies Pvt Ltd
<p><p><b>About the Role :</b></p><p><br/>We are seeking a highly motivated and experienced Machine Learning Engineer to join our AI/ML team in either Mumbai or Bangalore.
The ideal candidate will have hands-on expertise in developing and deploying machine learning models, building generative AI modules like chatbots or conversational agents, and working with modern cloud infrastructure to scale AI solutions.
A solid understanding of microservices architecture is also essential.</p><p><br/>You will play a key role in designing, developing, and deploying intelligent solutions that enhance user experience, automate business workflows, and derive actionable insights from data.</p><p><br/></p><p><b>Key Responsibilities :</b></p><p><br/>- Design, build, and optimize machine learning models for classification, regression, NLP, recommendation systems, and more.<br/><br/></p><p>- Perform data preprocessing, feature engineering, model training, evaluation, and tuning.<br/><br/></p><p>- Work with libraries such as scikit-learn, TensorFlow, PyTorch, Hugging Face, OpenCV, etc.<br/><br/></p><p>- Build or integrate Generative AI modules, including LLM-based chatbots, question-answering systems, language generation, and conversational agents.<br/><br/></p><p>- Fine-tune or utilize models from OpenAI, Anthropic, Google (Gemini), Meta (LLaMA), or open-source LLMs.<br/><br/></p><p>- Leverage frameworks like LangChain, Haystack, or Rasa for building agent workflows and pipelines.<br/><br/></p><p>- Deploy, monitor, and scale ML models and AI workloads using AWS, Azure, or Google Cloud Platform.<br/><br/></p><p>- Utilize services such as SageMaker, Vertex AI, Azure ML Studio, Lambda, Cloud Functions, Docker, and Kubernetes.<br/><br/></p><p>- Set up and manage MLOps pipelines for continuous training and deployment.<br/><br/></p><p>- Develop AI-powered microservices as part of distributed systems.<br/><br/></p><p>- Collaborate with backend teams to expose ML models via REST APIs or gRPC.<br/><br/></p><p>- Ensure robust design, scalability, and fault-tolerance in production systems.<br/><br/></p><p>- Work closely with data scientists, engineers, product managers, and UX teams.<br/><br/></p><p>- Participate in Agile development ceremonies stand-ups, sprint planning, retrospectives.<br/><br/></p><p>- Write clear documentation and share technical insights across Skills & Qualifications Skills :</b></p><p><br/>- Proficiency in Python (NumPy, Pandas, Scikit-learn, FastAPI).<br/><br/></p><p>- Experience with TensorFlow, PyTorch, or other deep learning frameworks.<br/><br/></p><p>- Strong knowledge of NLP, LLMs, transformers, and prompt engineering.<br/><br/></p><p>- Hands-on experience with cloud ML tools (AWS SageMaker, GCP Vertex AI, Azure ML).<br/><br/></p><p>- Familiarity with MLOps tools like MLflow, DVC, Airflow, or Kubeflow.</p><br/></p> (ref:hirist.tech)
✨ Smart • Intelligent • Private • Secure
Practice for Any Interview Q&A (AI Enabled)
Predict interview Q&A (AI Supported)
Mock interview trainer (AI Supported)
Ace behavioral interviews (AI Powered)
Record interview questions (Confidential)
Master your interviews
Track your answers (Confidential)
Schedule your applications (Confidential)
Create perfect cover letters (AI Supported)
Analyze your resume (NLP Supported)
ATS compatibility check (AI Supported)
Optimize your applications (AI Supported)
O*NET Supported
O*NET Supported
O*NET Supported
O*NET Supported
O*NET Supported
European Union Recommended
Institution Recommended
Institution Recommended
Researcher Recommended
IT Savvy Recommended
Trades Recommended
O*NET Supported
Artist Recommended
Researchers Recommended
Create your account
Access your account
Create your professional profile
Preview your profile
Your saved opportunities
Reviews you've given
Companies you follow
Discover employers
O*NET Supported
Common questions answered
Help for job seekers
How matching works
Customized job suggestions
Fast application process
Manage alert settings
Understanding alerts
How we match resumes
Professional branding guide
Increase your visibility
Get verified status
Learn about our AI
How ATS ranks you
AI-powered matching
Join thousands of professionals who've advanced their careers with our platform
Unlock Your QualityKiosk Technologies Potential: Insight & Career Growth Guide
Real-time QualityKiosk Technologies Jobs Trends in Mumbai, India (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for QualityKiosk Technologies in Mumbai, India using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 2839 jobs in India and 168 jobs in Mumbai. This comprehensive analysis highlights market share and opportunities for professionals in QualityKiosk Technologies roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Quality Kiosk Technologies Pvt Ltd is currently hiring and seeking a QualityKiosk Technologies Machine Learning Engineer Python/Tensorflow to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: QualityKiosk Technologies Machine Learning Engineer Python/Tensorflow Jobs Mumbai.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Quality Kiosk Technologies Pvt Ltd adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a QualityKiosk Technologies Machine Learning Engineer Python/Tensorflow Jobs India varies, but the pay scale is rated "Standard" in Mumbai. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for QualityKiosk Technologies Machine Learning Engineer Python/Tensorflow typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
To improve your chances of getting hired for QualityKiosk Technologies Machine Learning Engineer Python/Tensorflow, consider enhancing your skills. Check your CV/Résumé Score with our free Resume Scoring Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.
Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your QualityKiosk Technologies Machine Learning Engineer Python/Tensorflow interview at Quality Kiosk Technologies Pvt Ltd, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Quality Kiosk Technologies Pvt Ltd's products or services and be prepared to discuss how you can contribute to their success.
By following these tips, you can increase your chances of making a positive impression and landing the job!
Setting up job alerts for QualityKiosk Technologies Machine Learning Engineer Python/Tensorflow is easy with India Jobs Expertini. Simply visit our job alerts page here, enter your preferred job title and location, and choose how often you want to receive notifications. You'll get the latest job openings sent directly to your email for FREE!