Programmers.io
Delivery Manager @ Programmers.io | IT Recruitment
Location - NJ/TX/AZ /RI
Responsibilities
Design, prototype, and implement applied AI/ML models
for mobility, activity, and behavioral modeling at scale.
Drive improvements to core models for routing, mode choice, demand estimation, and geospatial forecasting — balancing research innovation with production readiness.
Partner closely with Product and Data Science leadership to
set technical direction
for modeling initiatives, ensuring they align with customer and business needs.
Evaluate new data sources
(e.g., vendor-provided mobility data, traffic sensors, geospatial layers) for quality, coverage, and fitness-for-use in Replica’s models.
Develop new algorithms to fuse Replica’s proprietary data with external sources (e.g., traffic sensors, land use, census, streaming data).
Evaluate model performance, define success metrics , and iterate quickly to improve accuracy, robustness, and fairness.
Collaborate with data production engineers to
transition prototypes into robust, production-quality systems
used nationwide.
Contribute to modeling frameworks and shared libraries, mentoring peers and
raising the technical bar across the team .
Stay current with advances in machine learning, optimization, and geospatial modeling, applying them pragmatically to Replica’s challenges.
Minimum Qualifications
Bachelor’s degree in Computer Science, Applied Mathematics, Engineering, or related field
4+ years of professional experience in applied ML/AI, research engineering, or related roles.
Strong Python skills with experience in ML libraries (PyTorch, TensorFlow, scikit-learn) and numerical computing (numpy, pandas, scipy).
Experience designing, training, and deploying AI/ML models in production.
Hands‑on experience with large‑scale data sets, especially geospatial or time‑series data.
Familiarity with distributed computation frameworks (Dask, Spark, Ray) and cloud environments (GCP preferred).
Proven ability to communicate technical decisions and tradeoffs clearly to both technical and non‑technical stakeholders.
Seniority level Mid‑Senior level
Employment type Contract
Job function Information Technology
Industries IT Services and IT Consulting
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Responsibilities
Design, prototype, and implement applied AI/ML models
for mobility, activity, and behavioral modeling at scale.
Drive improvements to core models for routing, mode choice, demand estimation, and geospatial forecasting — balancing research innovation with production readiness.
Partner closely with Product and Data Science leadership to
set technical direction
for modeling initiatives, ensuring they align with customer and business needs.
Evaluate new data sources
(e.g., vendor-provided mobility data, traffic sensors, geospatial layers) for quality, coverage, and fitness-for-use in Replica’s models.
Develop new algorithms to fuse Replica’s proprietary data with external sources (e.g., traffic sensors, land use, census, streaming data).
Evaluate model performance, define success metrics , and iterate quickly to improve accuracy, robustness, and fairness.
Collaborate with data production engineers to
transition prototypes into robust, production-quality systems
used nationwide.
Contribute to modeling frameworks and shared libraries, mentoring peers and
raising the technical bar across the team .
Stay current with advances in machine learning, optimization, and geospatial modeling, applying them pragmatically to Replica’s challenges.
Minimum Qualifications
Bachelor’s degree in Computer Science, Applied Mathematics, Engineering, or related field
4+ years of professional experience in applied ML/AI, research engineering, or related roles.
Strong Python skills with experience in ML libraries (PyTorch, TensorFlow, scikit-learn) and numerical computing (numpy, pandas, scipy).
Experience designing, training, and deploying AI/ML models in production.
Hands‑on experience with large‑scale data sets, especially geospatial or time‑series data.
Familiarity with distributed computation frameworks (Dask, Spark, Ray) and cloud environments (GCP preferred).
Proven ability to communicate technical decisions and tradeoffs clearly to both technical and non‑technical stakeholders.
Seniority level Mid‑Senior level
Employment type Contract
Job function Information Technology
Industries IT Services and IT Consulting
#J-18808-Ljbffr