Senior Data Scientist Position

Lead Data Scientist

Job Location: Jaipur

Job Type: Full-time

Experience Required: 5+ years

We are seeking a seasoned Lead Data Scientist to spearhead our Artificial Intelligence and Machine Learning initiatives. This role is perfect for an expert who can drive innovation in Classical Machine Learning, Conversational AI, and Deep Learning Systems while providing technical leadership and strategic direction to a team of data scientists.

The ideal candidate will be responsible for overseeing model development, optimizing AI-driven solutions, mentoring junior team members, and collaborating with key stakeholders to align AI strategies with business objectives.

Key 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.
• 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.
• Optimize Large Language Models (LLMs) for various business applications.
• 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:

• Bachelor's or Master's degree in Computer Science, Data Science, AI, Statistics, or a related field.
• 5+ years of hands-on experience in machine learning, deep learning, NLP, and AI-driven applications.
• Proficiency in Classical ML (Regression, Decision Trees, Random Forests, SVMs, Gradient Boosting, etc.) and Deep Learning (CNNs, LSTMs, GANs, Transformers, etc.).
• Strong experience with GPT, BERT, T5, Hugging Face Transformers, NLTK, and SpaCy.
• Proficiency in Python, PyTorch, TensorFlow, NumPy, Pandas, Scikit-learn, and MLOps tools.
• Experience working with large-scale datasets, cloud-based AI solutions, and distributed computing frameworks.
• Strong understanding of APIs, CI/CD pipelines for ML models, containerization, and model monitoring.

Soft Skills & Leadership:

• Strong leadership skills with the ability to mentor and develop junior data scientists.
• Exceptional problem-solving and critical-thinking abilities.
• Strong communication skills to effectively convey complex AI concepts to business stakeholders.
• Proactive ownership of projects, ensuring timely delivery and alignment with business needs.
• Ability to manage multiple projects and prioritize effectively in a fast-paced environment.