The job in short
AI engineering.
PythonMachine learningNLPComputer visionData science
Details
- Found
- 21 d ago · posted 2025-10-23
- Location as listed
- Chandigarh, Chandigarh, India
- Role
- Machine Learning / AI Engineer
- Source
- The company’s own careers site
Full description
Job Summary
We are looking for a skilled and motivated AI Engineer to join our team. The ideal candidate will have a strong foundation in Python, machine learning frameworks, and data science libraries. You will be responsible for developing, training, and deploying cutting-edge machine learning models, including applications in NLP, computer vision, and other AI domains.
Key Responsibilities
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Develop and deploy machine learning models into production environments
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Train and fine-tune models using large and diverse datasets
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Implement AI techniques such as natural language processing (NLP), computer vision, and deep learning
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Collaborate with data scientists, ML engineers, and software developers to optimize model performance and scalability
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Utilize cloud-based AI services for scalable deployment and model management
Requirements
Required Skills & Qualifications
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4+ year’s in Python and machine learning frameworks like TensorFlow or PyTorch
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2+ year's experience with data science libraries such as NumPy, Pandas, and Scikit-learn
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2+ year's experience of supervised, unsupervised, and deep learning techniques
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Familiarity with cloud AI services (e.g., AWS SageMaker, Google AI Platform, Azure ML)
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Strong problem-solving skills and ability to work in a fast-paced environment
Preferred Qualifications
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Experience with model monitoring and performance tuning in production
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Exposure to MLOps tools and CI/CD for ML pipelines
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Understanding of model explainability and ethical AI practices
Benefits
Why Join Us
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Build with Purpose: Work on impactful, high-scale products that solve real problems using cutting-edge technologies.
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Tech-First Culture: Join a team where engineering is at the core — we prioritize clean code, scalability, automation, and continuous learning.
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Freedom to Innovate: You’ll have ownership from day one — with room to experiment, influence architecture, and bring your ideas to life.
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Collaborate with the Best: Work alongside passionate engineers, product thinkers, and designers who value clarity, speed, and technical excellence.
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