Senior Data Scientist

• We are seeking a talented and motivated Data Scientist to join our Machine Learning team.
• In this role, you will contribute to a wide range of data-driven projects, from exploratory data analysis to building and deploying machine learning models for a variety of Networking, Security and Language use-cases.
• You will work closely with cross-functional teams to uncover insights, solve complex problems, and drive data-informed decision-making
• Data Analysis and Visualization:
  Conduct exploratory data analysis (EDA) to understand data characteristics and identify patterns. Utilize data visualization techniques to communicate insights effectively
• Data Preparation and Engineering:
  Ingest, clean, preprocess, and transform data to prepare it for analysis and modeling. Handle missing values, outliers, and inconsistencies. Labeling datasets appropriately for classification problems
• Machine Learning:
  Build, train, and evaluate machine learning models, including traditional algorithms like CNNs, XGBoost, Transformers, Various Graph ML algorithms, Time Series modelling, LLM etc
• Model Deployment:
  Collaborate with engineering teams to deploy models into production, ensuring scalability and reliability. You need to be aware of and have experience in model quantization, model evaluation and various deployment formats like ONNX, GGUF etc
• Problem-Solving:
  Apply critical thinking and problem-solving skills to tackle complex data challenges
• Collaboration:
  
  Work effectively with data engineers, analysts, and domain experts to understand business requirements and translate them into actionable data insights

• ESOP
• Incentives and Bonuses
• Statutory Benefits: PF, ESI, Maternity Benefits, Leaves & Holidays
• VPF, NPS, Meal Vouchers, Paternity Leaves
• Health:
  Medical, Accidental, Term Life Insurances
• Relocation Benefits
• Flexi Working
• Reward & Recognition Policies
• Transparent Performance Management Process
• Career Progression
• Global Mobility

Familiarity with deep learning frameworks (e.g., Tensor Flow, PyTorch)
Strong proficiency in Python programming language

Masters degree in Computer Science/Engineering

Experience with natural language processing (NLP) and large language models (LLMs) is a plus Knowledge of machine learning algorithms and techniques

Experience with data analysis and visualization tools (e.g., Pandas, Num Py, Matplotlib, Seaborn)
Strong problem-solving and analytical skills8+ years of experience in data science or a related field

Excellent communication and collaboration skills

Acceleration frameworks such as RAPIDS, Spark is preferable

Experience with Go programming language

Knowledge of cloud platforms (e.g., AWS, GCP, Azure)
Experience with data version control and MLOps practices