Assistant Consultant

4 days ago

Bengaluru, Karnataka, India WSP Full time ₹ 1,00,00,000 - ₹ 2,00,00,000 per year
Responsibilities
  • Relevant Experience Requirement is between 2-3 Years into developing AI/ML applications.
  • Becoming the force of innovation and digital transformation supporting the Ground Engineering Team to drive applications and revenue in Smart Geotechnics, Remote Sensing, and AI.
  • Ideating and implementing AI/ML algorithms and applications to support the vision of the Ground Engineering Team to consolidate as a leader in digital engineering design, geotechnical modelling, site assessments, and monitoring of geotechnical assets.
  • Stay updated on industry best practices, technological advancements, and emerging trends in AI/ML, generative and agentic AI, geotechnical engineering, and engineering geology to continuously improve project outcomes.
  • In parallel, this role involves time of a more traditional geotechnical engineering role, which will include:
    • Undertaking geotechnical site characterizations and assessments to analyse geological conditions and identifying potential geotechnical risks.
    • Assist in the design of geotechnical, geophysical, and geo-environmental site investigations.
    • Supervise site investigation contractors and conduct site investigations, including logging of soils and rocks.
    • Manage geotechnical investigations, subsurface exploration, soil and rock sampling, laboratory testing, and analysis to provide accurate engineering recommendations.
    • Evaluate and interpret ground data using 2D/3D geological and geotechnical software modelling.
    • Support the preparation of detailed geotechnical factual, interpretive, and design reports, presentations, and specifications for internal and external stakeholders, effectively communicating complex geological concepts to non-technical audiences.
    • Collaborate with cross-functional and multidiscipline teams to incorporate geotechnical considerations into project plans, designs, and construction strategies.
Qualifications

Bachelor's degree (Master's degree preferable) in geotechnical engineering, geology, engineering geology, geological engineering, or a related field with a heavy focus on developing AI/ML applications.

  • Knowledge of Artificial Intelligence, computational geomechanics, applied AI/ML, data science applied to civil or geotechnical engineering problems, database systems, software engineering and App development, Python, R, Java, MySQL, development of APIs in geotechnical software: Plaxis, OpenGround, Leapfrog, Revit, Civil 3D, AGS files.
  • Knowledge of geological and geotechnical engineering principles, including soil mechanics, rock mechanics, and geotechnical testing methods.
  • Familiarity with relevant software and tools for geological modelling, analysis, and reporting: Plaxis 2D, Plaxis 3D, GeoStudio, Rocscience.
  • Excellent communication skills, both written and verbal, with the ability to interact effectively with diverse teams and stakeholders.
  • Creative and professional curiosity mindset.

Willingness to travel to project sites as required.

BGV:

Employment with WSP India is subject to the successful completion of a background verification ("BGV") check conducted by a third-party agency appointed by WSP India.

Candidates are advised to ensure that all information provided during the recruitment process — including documents uploaded — is accurate and complete, both to WSP India and its BGV partner".

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