
AI and Machine Learning Expert
1 day ago
As a Data Analyst, you'll play a vital role in driving business decisions with data-driven insights.
Key Responsibilities:
- Data Science: Develop machine learning models and data-driven features to drive growth and customer satisfaction.
- Data Engineering & Analysis: Collect, clean, and analyze structured + unstructured data to uncover hidden patterns and trends.
- Prototype to Production: Rapidly test ideas in notebooks, then work with engineers to productionize models using agile practices.
- Measure & Iterate: Design experiments (A/B tests, evaluation pipelines), define success metrics, and continuously improve model performance.
You'll have the opportunity to work on exciting projects, collaborate cross-functionally, and contribute to shaping the future of our organization. We're looking for someone who is passionate about working with data, excited to learn and grow, and eager to take on new challenges.
Requirements:
- 2–6 years of experience as a Data Scientist / ML Engineer; startup or product environment a plus.
- Strong programming skills in Python; comfort with libraries like Pandas, NumPy, Scikit-learn, PyTorch, TensorFlow, or Hugging Face.
- Experience with data pipelines and storage (SQL, NoSQL, or vector databases such as Pinecone, Weaviate, or FAISS).
- Familiarity with MLOps, model deployment, and monitoring (Docker, Kubernetes, cloud platforms).
- Strong analytical and communication skills—able to turn data into insights and insights into business decisions.
Benefits:
- Work in a fast-moving, collaborative, high-trust environment.
- Collaborate directly with founders, engineers, and creators.
- Help shape the future of applied AI in India and beyond.
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