Experience
3 - 7 yrs
Job Location
Bengaluru, India
Vacancy
1
Designation
Data Scientist
Job Type
Not specified
Job Description
- Design and develop innovative data-driven analytical solutions using advanced analytics, machine learning, NLP, computer vision, and generative AI.
- Lead end-to-end model/agent lifecycles from problem definition to deployment, monitoring, and continuous improvement.
- Ingest, integrate, and preprocess large-scale datasets ensuring high standards of data quality and integrity.
- Develop scalable data pipelines and infrastructure, proactively detecting and mitigating data drift, bias, or quality gaps.
- Drive development of specialized computer vision solutions for business-critical applications such as manufacturing, quality control, and compliance monitoring.
- Define, implement, and monitor evaluation metrics for both offline and production environments.
- Conduct error analysis, monitor live model/agent performance, and ensure compliance with AI governance and ethical standards.
- Create intuitive dashboards, reports, and data visualizations (e.g., Power BI, Fabric) to communicate insights to technical and non-technical stakeholders.
- Translate technical findings into actionable business recommendations; clearly communicate risks, performance, and opportunities to decision-makers.
- Collaborate closely with BI, engineering, and domain experts to operationalize data-driven solutions at scale.
- Awareness of compliance, SOPs, and ethical AI practices in enterprise environments.
- Working knowledge of CI/CD, MLOps, and AgentOps practices: reproducible pipelines, monitoring, governance with telemetry and observability.
Job Requirements
- Bachelor's or master's degree in computer science, mathematics, statistics, data science, or a related quantitative field.
- Strong proficiency in Python, SQL, and prompt engineering for data manipulation, analysis, and querying large datasets.
- Experience with context engineering and executing GenAI projects at scale with prompt versioning, evaluation, and tracing to debug GenAI pipelines.
- Proficiency with Computer Vision libraries and frameworks (e.g., OpenCV, TensorFlow, PyTorch, StableDiffusion) and experience in building real-world image/video analysis pipelines.
- Familiarity with Generative AI and LLMs, including experience building Agentic-RAG pipelines using frameworks such as ReAct with tool integrations, memory, and reflection.
- Solid understanding of how to evaluate/test ML & AI models: accuracy, robustness, fairness, drift, latency, interpretability, and safety.
- Exposure in building ETL pipelines and advanced feature engineering workflows for ML/AI, including vision-based applications.
- Strong foundation in statistics: regression, hypothesis testing, probability distributions.
- Independent problem-solving skills, creativity, and the ability to prioritize in fast-paced environments.
- Strong collaboration and communication skills, with the ability to work effectively in global and virtual settings.
- Familiarity with cloud platforms (Azure preferred), including Azure AI Foundry, AzureML, OpenAI platform, Synapse and storage.
- Skilled in data visualization and BI tools (Power BI or equivalent), with the ability to present complex insights clearly to non-technical stakeholders.
- Knowledge of agentic frameworks like lanGraph, AutoGen, CrewAI etc. familiar with implementing graph RAG, multimodal RAG.
- Travel Requirements: Up to 26 business days per year.
- Physical Requirements: Sedentary work involves sitting most of the time.
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