Technologist, Data Engineering

2 weeks ago

Bengaluru, Karnataka, India SanDisk Full time ₹ 20,00,000 - ₹ 25,00,000 per year

Job Description

We are seeking a highly experienced and visionary Senior Data Scientist at the Technologist level to lead strategic AI/ML and GenAI initiatives. This role demands deep technical expertise, leadership in complex projects, and a passion for innovation in data science and advanced analytics.

Key Responsibilities

  • Lead the end-to-end data science lifecycle: problem definition, data acquisition, model development, deployment, and monitoring.
  • Architect and implement scalable AI/ML solutions using modern frameworks, cloud platforms, and MLOps best practices.
  • Drive GenAI initiatives including fine-tuning, prompt engineering, and integration into enterprise applications.
  • Provide strategic direction and thought leadership on advanced analytics adoption across the business.
  • Mentor, coach, and upskill a team of data scientists and engineers; foster a culture of innovation and collaboration.
  • Partner with cross-functional teams (engineering, product, factory operations, IT) to translate business needs into data-driven solutions.
  • Ensure model robustness, fairness, interpretability, and compliance with ethical AI standards.
  • Design and oversee experimentation frameworks (A/B testing, causal inference, statistical modeling) for data-driven decision making.
  • Stay ahead of emerging trends in AI, ML, and big data technologies; evaluate their potential for business impact.
  • Present insights, models, and strategies to senior leadership and non-technical stakeholders in clear, actionable terms.

Qualifications

  • MS/ME/MTech/PhD in Data Science, Statistics, Computer Science, or related fields.
  • ~15 years of experience in data science, AI/ML, or advanced analytics, including leadership in complex projects.
  • Proven expertise in:
  • Machine Learning, Deep Learning, and Statistical Modeling
  • Optimization techniques for solving complex, high-dimensional problems.
  • GenAI applications including architectures like RAG, fine-tuning, and LLMOps.
  • Synthetic data generation and handling highly imbalanced and high-volume datasets.
  • GenAI applications including architectures like RAG, fine-tuning, and LLMOps.
  • Experience with anomaly detection, pretrained transformers, and custom embedding models.
  • Strong proficiency in Python and SQL for data wrangling, analysis, and modeling.
  • Hands-on experience with TensorFlow, PyTorch, Pyspark, and related AI/ML frameworks.
  • Deep understanding of Big Data platforms (e.g., Spark, Hadoop, distributed databases, cloud data warehouses).
  • Experience in MLOps: model deployment, monitoring, versioning, and lifecycle management.
  • Strong knowledge of data architecture, pipelines, and feature engineering at scale.
  • Familiarity with data visualization tools: Tableau, Power BI, Matplotlib, Plotly.
  • Excellent communication and stakeholder management skills, with the ability to influence at senior levels.

Additional Information

All your information will be kept confidential according to EEO guidelines.

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