Ivy Mobility
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Senior/Lead AI/ML Engineer
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Ivy Mobility is hiring a Senior/Lead AI/ML Engineer in Gurugram to lead the development of scalable AI and machine learning solutions for enterprise products. The role requires 5+ years of experience with strong Python programming, machine learning, deep learning, distributed ML, and cloud technologies. Candidates should have hands-on expertise with frameworks such as PyTorch, TensorFlow, Keras, and Scikit-learn, along with SQL/NoSQL databases and ML model deployment. Experience with Spark, CUDA/OpenCL, microservices, and solution architecture is also required. Immediate joiners are preferred, while Generative AI, NLP, Reinforcement Learning, and FMCG/CPG experience are additional advantages.
Job Overview
| Particulars | Details |
|---|---|
| Position | Senior/Lead AI/ML Engineer |
| Company | Ivy Mobility |
| Location | Gurugram |
| Job Type | Full-Time |
| Experience | 4 - 5 years |
| Category / Department | IT |
| Application Mode |
🏢 About Ivy Mobility
Company Overview:
Ivy Mobility is a cloud-based technology company focused on providing intelligent Route-to-Market (iRTM) solutions for the consumer goods industry. Its solutions support consumer goods organizations with secondary sales management and field-force automation to improve productivity, visibility, distribution, and sales performance. The company has more than 15 years of experience serving the consumer goods industry and operates across more than 57 markets.
Company Mission:
Ivy Mobility focuses on simplifying, automating, and streamlining field-force and consumer goods operations through technology and digital transformation.
Company Vision:
Not Provided
Core Values / Principles
Innovation and automation
Digital transformation
Customer-focused solutions
Operational efficiency
Agility
Global collaboration
🌐
Company Website
📍
Office Location
Not Provided
💡 Editor's Note / Preparation Tip
Resume Tips:
Highlight 5+ years of AI/ML engineering experience prominently.
Showcase strong Python development and production ML experience.
Mention specific experience with PyTorch, TensorFlow, Keras, and Scikit-learn.
Include distributed ML, Spark, and cloud deployment projects.
Highlight experience deploying models through APIs or microservices.
Showcase leadership, architecture, and mentoring responsibilities.
Add Generative AI, NLP, or Reinforcement Learning experience if applicable.
Mention FMCG/CPG projects where relevant.
Interview Preparation:
Revise machine learning and deep learning fundamentals.
Prepare to explain production ML architecture and model deployment.
Review PyTorch, TensorFlow, Scikit-learn, and Spark concepts.
Prepare system-design scenarios for scalable AI/ML platforms.
Revise distributed machine learning and cloud deployment concepts.
Review SQL and NoSQL database fundamentals.
Be prepared to discuss model optimization and performance improvements.
Prepare leadership examples involving technical decision-making and team management.
Professional Tips:
Position your resume around production AI/ML engineering and technical leadership.
Quantify model performance, scalability, latency, cost savings, or business impact where possible.
Clearly distinguish hands-on engineering responsibilities from leadership responsibilities.
Highlight cloud-native AI/ML deployments and enterprise-scale solutions.
📝 Job Description
Position Details:
The Senior/Lead AI/ML Engineer will be responsible for developing and leading AI/ML solutions designed for enterprise-scale products. The position combines hands-on machine learning engineering with technical leadership, solution architecture, model deployment, and scalable system development.
The successful candidate will work with modern machine learning frameworks, distributed computing technologies, cloud platforms, databases, and microservices. The role is particularly relevant to professionals with experience building production-grade AI/ML solutions and leading engineering teams.
Benefits / Compensation
Compensation: Not Provided
Immediate joiners preferred
Opportunity to work on enterprise-scale AI/ML solutions
Leadership and solution-architecture responsibilities
Candidate Requirements:
5+ years of relevant AI/ML or engineering experience.
Strong Python programming skills.
Experience with Machine Learning and Deep Learning.
Hands-on knowledge of PyTorch, TensorFlow, Keras, Scikit-learn, and Pandas.
Experience with distributed ML models and Spark.
Experience with AWS, Azure, or GCP.
Knowledge of SQL and NoSQL databases.
Experience with MySQL and MongoDB.
Knowledge of CUDA or OpenCL.
Experience with ML model deployment and microservices.
Ability to provide technical leadership and solution architecture.
Immediate joining capability is preferred.
Preferred Skills:
Generative AI
Natural Language Processing
SpaCy
NLTK
Gensim
CoreNLP
Reinforcement Learning
Model optimization and compression
FMCG/CPG domain experience
Distributed machine learning
Cloud-based AI/ML solutions
Working Days & Hours:
Not Provided
How to Apply:
Interested candidates can share their updated resume at dhayananth.ta@ivymobility.com.
🎯 Key Responsibilities
- ✓ Design and develop scalable machine learning and deep learning solutions.
- ✓ Build enterprise-grade AI/ML products using Python and modern ML frameworks.
- ✓ Develop and work with distributed machine learning models and Spark.
- ✓ Deploy ML models through microservices and cloud-based infrastructure.
- ✓ Work with AWS, Azure, or GCP environments.
- ✓ Design solutions involving SQL and NoSQL databases.
- ✓ Optimize machine learning models for production environments.
- ✓ Contribute to AI/ML solution architecture and technical design.
- ✓ Lead and mentor engineering teams working on AI/ML initiatives.
- ✓ Collaborate with technical teams to deliver scalable AI solutions.
- ✓ Support model optimization, deployment, and performance improvements.
- ✓ Explore and apply emerging technologies such as Generative AI and NLP where relevant.
💡 Required Qualifications & Skills
✓ Python
✓ Machine Learning
✓ Deep Learning
✓ PyTorch
✓ TensorFlow
✓ Keras
✓ Scikit-learn
✓ Pandas
✓ Apache Spark
✓ Distributed ML
✓ AWS / Azure / GCP
✓ SQL / NoSQL
✓ MySQL / MongoDB
✓ CUDA / OpenCL
✓ ML model deployment
✓ Microservices
✓ Solution architecture
✓ Team leadership
🚀 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 Senior/Lead AI/ML Engineer 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.
Expected Career Progression Roadmap:
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 track—becoming a Tech Lead, Staff Engineer, and Principal Architect—or 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.
💡 Pro-Tip: Before your interview, research the company's recent news, product launches, and Glassdoor work reviews. Prepare 2-3 thoughtful questions for the interviewer regarding team dynamics and success metrics for this role.
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 Market Compensation in India:
Estimated compensation for this role type in India is ₹6,00,000 - ₹12,00,000 per annum (Mid 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.
Suggested Professional Certifications:
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).
Contact Email:
dhayananth.ta@ivymobility.com
Frequently Asked Questions
What position is Ivy Mobility hiring for?
Ivy Mobility is hiring for a Senior/Lead AI/ML Engineer position.
Where is the position located?
The role is based in Gurugram, India.
How much experience is required?
The supplied job information specifies 5+ years of experience, although the hiring headline mentions 8+ years.
What are the primary programming skills required?
Strong Python programming experience is required.
Which machine learning frameworks are mentioned?
The position requires experience with PyTorch, TensorFlow, Keras, Scikit-learn, and Pandas.
Which cloud platforms are relevant?
Candidates should have experience with AWS, Azure, or GCP.
Is database experience required?
Yes. Candidates should have knowledge of SQL and NoSQL databases, including MySQL and MongoDB.
What additional technical skills are required?
Experience with distributed ML, Spark, CUDA/OpenCL, ML model deployment, microservices, and solution architecture is required.
What are some good-to-have skills?
Generative AI, NLP, Reinforcement Learning, model optimization/compression, and FMCG/CPG domain experience are listed as advantages.
How can candidates apply?
Candidates can send their updated resume to dhayananth.ta@ivymobility.com.
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