
Data Scientist
5 days ago
**Job Summary**:
- We are looking for an experienced Lead Data Scientist to head our AI and Machine Learning initiatives. This role is perfect for a professional who can drive innovation in Classical Machine Learning, Conversational AI, and Deep Learning Systems while also providing technical leadership and strategic direction to a team of data scientists.
**Responsibilities**:
- Define and drive the AI/ML strategy with alignment with business objectives.
- Lead the research, design, and development of cutting-edge machine learning and deep learning models, including LLMs, GANs, VAEs, Transformers, CNNs, and RNNs.
- Establish best practices for data pipelines, feature engineering, model deployment, and AI governance.
- Evaluate emerging AI/ML technologies and recommend their adoption where beneficial.
- Architect and implement Generative AI solutions with a focus on improving conversational AI experiences.
- Work on text generation, semantic search, intent recognition, and AI-driven recommendation systems.
- Oversee end-to-end model lifecycle, from data collection and preprocessing to model deployment and monitoring.
- Implement MLOps best practices to streamline model retraining, CI/CD for ML pipelines, and productionization.
- Optimize models using hyperparameter tuning techniques such as grid search, Bayesian optimization, and neural architecture search.
- Lead and mentor a team of data scientists and ML engineers
- Conduct code reviews, design discussions, and knowledge-sharing sessions.
- Guide junior team members on best practices in data science, deep learning, and software engineering.
- Partner with engineering, product management, and business stakeholders to integrate AI solutions into production.
**Qualifications & Experience**:
- Educational Background: Bachelor's or Master’s in Computer Science, Data Science, AI, Statistics, or a related field.
- Machine Learning & AI: Proficiency in Classical ML (Regression, Decision Trees, Random Forests, SVMs, Gradient Boosting, etc.) and Deep Learning (CNNs, LSTMs, GANs, Transformers, etc.).
- LLM & NLP Expertise: Strong experience with GPT, BERT, T5, Hugging Face Transformers, NLTK, and SpaCy.
- Programming & Tools: Proficiency in Python, PyTorch, TensorFlow, NumPy, Pandas, Scikit-learn, and MLOps tools (MLflow, Kubernetes, Docker, AWS SageMaker, Azure ML, etc.).
- Big Data & Cloud: Experience working with large-scale datasets, cloud-based AI solutions (AWS, Azure, GCP), and distributed computing frameworks (Spark, Dask, Hadoop).
**Job Types**: Full-time, Permanent
Pay: ₹600,000.00 - ₹1,600,000.00 per year
**Benefits**:
- Health insurance
- Life insurance
- Paid sick time
- Paid time off
- Provident Fund
Application Question(s):
- How soon you can join ?
**Experience**:
- Data science: 3 years (required)
Work Location: In person
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