Senior AI Engineer

1 day ago

Vijayawada, Andhra Pradesh, India beBeeMachineLearning Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
About the Role

As a Lead Data Scientist, you will be at the forefront of driving innovation in Generative AI and leading applied research. This role requires hands-on expertise in machine learning, deep learning, natural language processing, and large language models.

Key Responsibilities:
  • Translate complex business problems into advanced statistical and ML frameworks.
  • Develop scalable ML and DL solutions with a strong emphasis on LLMs and Generative AI.
  • Build and optimize training, fine-tuning, evaluation, and deployment pipelines for LLMs.
  • Apply Responsible AI principles to ensure fairness, explainability, and bias mitigation.
  • Lead applied research and incorporate cutting-edge GenAI methods into production.
  • Build scalable data pipelines and end-to-end ML systems on cloud platforms.
  • Provide technical leadership to data scientists, analysts, and engineers.
  • Mentor junior talent, establish best practices, and influence the data science roadmap.
  • Partner with cross-functional teams to integrate AI solutions into customer-facing platforms.
  • Manage project execution, continuous improvement, and strategy alignment.
Requirements:
  • A Master's or PhD in Computer Science, Statistics, Data Science, or related fields.
  • 8-12 years of applied data science/ML experience, with strong domain exposure to e-commerce, advertising, or retail.
  • 3-4 years of hands-on expertise in LLMs, Generative AI, and NLP.
  • 2+ years of leadership experience in guiding projects and teams.
  • Strong proficiency in Python, SQL, PyTorch/TensorFlow, and cloud ML platforms (AWS/GCP/Azure).
  • Experience with MLOps frameworks (MLflow, Kubeflow, Vertex AI, SageMaker).
  • Solid statistical foundation (hypothesis testing, regression, causal inference, time-series).
  • Strong data engineering skills for ETL and large-scale dataset processing.
Benefits:
  • Business acumen: ability to map AI/ML solutions to strategic goals.
  • Strong communication and stakeholder management skills.
  • Proven leadership and mentoring capabilities.
  • Adaptability in a fast-paced, high-growth startup environment.
  • Innovative mindset with a passion for staying ahead of AI/ML trends.

This role offers a unique blend of technical leadership, applied research, and business impact, requiring a strong understanding of machine learning, deep learning, natural language processing, and large language models. As a Lead Data Scientist, you will drive innovation and lead applied research efforts, collaborating with product and engineering teams to deliver customer-facing AI solutions.

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