to join our growing technology team. In this role, you will design, develop, and deploy machine learning models that solve real-world problems and create measurable business impact. Working alongside software engineers, data scientists, and product managers, you'll contribute to building intelligent systems that power the next generation of AI solutions.
Key Responsibilities
Design and implement machine learning algorithms and AI models for business applications.
Handle large, complex datasets: data cleaning, preprocessing, feature engineering, and EDA.
Train, validate, and optimize models using
TensorFlow
,
PyTorch
, or
Scikit-learn
.
Deploy models using
Docker
,
Kubernetes
,
MLflow
, or cloud platforms (
AWS
,
GCP
,
Azure
).
Monitor and retrain deployed models to ensure performance and reliability.
Collaborate with engineering and product teams to integrate ML models into production.
Stay updated with emerging trends, tools, and best practices in AI/ML.
Required Skills & Qualifications
Bachelor's or Master's degree in
Computer Science
,
Engineering
,
Mathematics
, or a related field.
Strong proficiency in
Python
, with hands-on experience using:
Scikit-learn
,
TensorFlow
,
PyTorch
,
Hugging Face Transformers
Experience with
Natural Language Processing (NLP)
, including:
NER, Text Classification, QA, RAG, and chatbot development
Exposure to
deep learning for image processing
(e.g., YOLO, CNNs, Stable Diffusion)
Solid understanding of ML fundamentals: regression, classification, clustering, unsupervised learning
Experience building APIs using
FastAPI
or
Flask
Familiarity with
Docker
,
Kubernetes
, and modern deployment tools
Comfortable using Git and version control best practices
Experience with at least one cloud provider:
, or a related field
1-4 years of experience (or equivalent project/internship exposure)
Experience with
Docker/Kubernetes
(a plus)
Exposure to
Agile/Scrum
work environments
Projects involving
Computer Vision
,
Natural Language Processing (NLP)
, or
Reinforcement Learning
Hands-on experience with cloud ML services such as:
AWS SageMaker
Google Vertex AI
Azure ML
Contributions to
open-source ML/AI projects
or published research
Understanding of
CI/CD for ML
, model lifecycle management, and production deployment workflows
Why Join Us?
Work on impactful AI/ML products solving real-world problems
Collaborate with passionate engineers, researchers, and innovators
Access cutting-edge tools, open-source models, and cloud infrastructure
Grow continuously through hands-on projects, learning, and innovation
Job Type: Full-time
Pay: ?480,000.00 - ?600,000.00 per year
Benefits:
Health insurance
Provident Fund
Work from home
Location Type:
In-person
Schedule:
Day shift
Monday to Friday
Ability to commute/relocate:
Hinjewadi, Pune, Maharashtra: Reliably commute or planning to relocate before starting work (Preferred)
Application Question(s):
What is your current CTC?
What is your expected CTC ?
What is your legal notice period ?
What is your current location ?
How many years of experience do you have ?
Only candidates who are available for the final f2f (face-to-face) interview at our Pune office will be considered. If you're unable to attend, kindly do not apply.
Education:
Bachelor's (Preferred)
Experience:
Python: 1 year (Preferred)
AI: 1 year (Preferred)
Machine learning: 1 year (Preferred)
Deep learning: 1 year (Preferred)
Work Location: In person
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