Urgent requirement - AIML Architect / Data Scientist

Role Overview

We are seeking a highly skilled AI/ML Scientist to lead enterprise-grade AI/ML research and deployment. This role spans statistical modeling, classical ML, deep learning, and cutting-edge Generative AI to solve real-world challenges.

Key Responsibilities

• Design, build, and deploy models across classical ML, statistical reasoning, deep learning, NLP, CV, GenAI, and Agentic AI.
• Build statistical reasoning models for forecasting, inference, and optimization.
• Conduct rigorous experimentation, validation, and A/B testing.
• Develop production-ready ML pipelines with engineering teams.
• Research and integrate latest AI/ML advancements into enterprise solutions.

Skills & Tools

• Classical ML: Regression, Classification, Trees, Ensembles, XGBoost.
• Statistics: Hypothesis testing, Bayesian inference, Time Series forecasting, Causal modeling.
• Deep Learning: CNNs, RNNs, Transformers, GANs, Reinforcement Learning.
• Generative AI & LLMs: Prompt Engineering, Fine-tuning, Hugging Face, LangChain.
• Tools: Python, R, TensorFlow, PyTorch, Scikit-learn, Statsmodels.
• MLOps: MLflow, Kubeflow, Vertex AI, SageMaker, Databricks ML.

Certifications (Preferred)

• Cloud AI/ML certifications (AWS ML Specialty, GCP ML Engineer, Azure AI)
• Deep Learning Specializations (Stanford, Coursera, Databricks ML Certs)

Soft Skills

• Ability to explain complex ML models in simple business terms.
• Strong data storytelling and presentation skills.
• Curious, innovative, and research-driven mindset.
• Leadership to mentor teams of ML engineers & data scientists.

Why Join Covsant?

• Be at the forefront of AI and Data innovation, working on impactful projects.
• Collaborate with a team of brilliant and passionate professionals.
• Competitive compensation package, including [mention any specific benefits like stock options, comprehensive health, etc.].
• Opportunities for continuous learning, professional development, and career growth.
• A culture that values innovation, collaboration, and client success.