, contribute as an SME, and collaborate closely with cross-functional teams.
Key Responsibilities:
- Design and develop applications using AI tools and Cloud AI services.
- Build cloud or on-prem MLOps pipelines with production-ready quality.
- Apply GenAI models (LLMs, embeddings, RAG) as part of end-to-end solutions.
- Implement deep learning and classical ML (NNs, regression, trees, clustering).
- Design and develop chatbots and image processing solutions.
- Participate actively in technical discussions and solution design; mentor as needed.
- Troubleshoot, optimize, and document models, data flows, and services.
Required Skills & Qualifications:
- Must-have: Proficiency in MLOps (model training, CI/CD for ML, monitoring).
- Strong grasp of statistics and ML algorithms (regression, classification, trees, clustering).
- Experience with data visualization tools (Tableau or Power BI).
- Solid data wrangling: cleaning, transformation, normalization, feature engineering.
- Hands-on with Python and ML/DL frameworks (e.g., scikit-learn, TensorFlow/PyTorch).
- Experience with at least one cloud (AWS/GCP/Azure) and containerization (Docker).
- Strong problem-solving, communication, and collaboration skills.
- Competitive salary and performance bonuses
- 100% PAN India flexibility (remote/hybrid per project)
- Work on real-world GenAI and production-scale AI platforms
- Upskilling: certifications, trainings, conferences
- Health benefits and wellness programs
- Collaborative, fast-paced, innovation-driven culture
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