Tundra Technical Solutions

https://tundratechnical.com

Founded :

2004

Type :

Products & Services

Size :

100-1000

Stage :

Profitable

About

Tundra is a global provider of innovative staffing solutions and services. Tundra was formed with a simple idea ‘Go Beyond’, to challenge conventional practices while redefining our clients’ expectations. Tundra has grown quickly since opening our doors in 2004; today Tundra operates offices across North America, Europe and Asia and is actively working with the top contract and full-time talent across the globe. Since opening our doors we have operated with a very straight forward Vision – “To become the number one representative of choice for top talent across the globe”. Tundra understands that simply ‘finding people’ is not enough, our clients require the ‘right people’ at the ‘right time’ and for the ‘right role’. It is Tundra’s ability to attract, engage and maintain relationships with the most talented resources that fuels this success.

Jobs at Tundra Technical Solutions

Data Scientist

at Tundra Technical Solutions

Posted by Indra Jeeth

The recruiter has not been active on this job recently. You may apply but please expect a delayed response.

Bengaluru (Bangalore)

5 - 10 yrs

₹15L - ₹30L / yr

Data Science

Python

Machine Learning (ML)

Deep Learning

Data Visualization

+4 more

About Us: Website: https://www.tundratechnical.ca/ & https://tundramanagedsolutions.com/

Experience: 5-8 years

Shift: EST

Location: Bangalore

Mode: Hybrid

Position Requirements

Core (Must-Have) Skills

• Proficiency in Python with advanced use of NumPy, Pandas, and Scikit-learn

• Expertise in SQL, including complex queries and performance optimization

• Strong foundation in machine learning techniques (regression, classification, clustering, ensemble methods)

• Natural Language Processing (NLP), Large Language Models (LLMs), and Generative AI

• MLOps practices (MLFlow, Kubeflow, CI/CD pipelines for ML workflows)

• Experience in data visualization (Seaborn, Plotly, Tableau, or Power BI)

• Applied knowledge of statistics and probability for model development

• Hands-on experience with cloud-based ML platforms (AWS SageMaker, Azure ML, or GCP Vertex AI)

• Exposure to large-scale data processing (Spark, Hadoop)

Preferred Skills

• Deep learning frameworks (TensorFlow, PyTorch)

• Natural Language Processing (NLP), Large Language Models (LLMs), and Generative AI

• MLOps practices (MLFlow, Kubeflow, CI/CD pipelines for ML workflows)

• Data pipeline orchestration (Airflow, Prefect)

• Business domain knowledge (e.g., retail, finance)

Key Activities

• Preparing and preprocessing structured and unstructured data for analysis

• Designing, training, and validating machine learning models

• Deploying and operationalizing models in collaboration with engineering teams

• Building dashboards and data-driven visual insights for stakeholders

• Partnering with product and engineering teams to align models with business needs

• Monitoring, optimizing, and retraining models for performance improvements