×
Register Here to Apply for Jobs or Post Jobs. X

AI​/ML Engineer

Job in Richardson, Dallas County, Texas, 75080, USA
Listing for: Genpact
Full Time position
Listed on 2026-06-02
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer, Data Scientist
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: AI / ML Engineer

About the Company

Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000 people across 30 countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose the relentless pursuit of a world that works better for people we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI.

About

the Role

Genpact is urgently looking for a strong Consultant for one of our precious clients in Brazil. If you are interested kindly share profile at

Job Title

Artificial Intelligence Engineer / Machine Learning Engineer

Location

Richardson, TX (Hybrid)

Mode of Hire

Full Time

Responsibilities
  • Own end-to-end ML/AI projects: problem framing, data pipelines, modeling, offline/online evals, deployment, monitoring, and iteration.
  • Build and product ionize agentic workflows (tool-using/multi-step agents with retrieval, planning, and human-in-the-loop), including safety/guardrails and reliability.
  • Train classical ML models (tree ensembles, linear models, anomaly detectors, time-series forecasting) and deep learning models when appropriate.
  • Operationalize models with CI/CD, feature stores, reproducible training, and model registries.
  • Monitor and improve live systems: data & concept drift detection, performance regression, bias/fairness, cost/latency; drive remediation playbooks.
  • Partner cross-functionally with product, data, and platform teams; write clear design docs.
  • Work as an Individual contributor with minimal directions.
  • Should be able to interact with stakeholders, understand the problem statement, and come up with solutions.
Minimum qualifications
  • Minimum 4 years hands-on ML engineering (with significant ML experience prior to 2023): you've shipped multiple ML systems to production. Not looking for someone who started working on AI after pre-trained models/ChatGPT were released.
  • Minimum 6 years of total experience in Software Development, preferably with a Data Analyst/Data Scientist background.
  • Experience leading/mentoring junior data scientists or ML engineers is a plus.
  • Demonstrated production agent build (at least one end–to–end agentic framework delivered to users).
  • Strong with classical ML: feature engineering, cross-validation, calibration, regularization, class imbalance, interpretability (SHAP/LIME), time‑series (forecasting, seasonality, drift).
  • Solid deep learning foundations (CNN/RNN/Transformers), and practical fine‑tuning experience (e.g., LoRA/QLoRA, instruction tuning, RAG).
  • Proven MLOps:
    Model registry/experiment tracking (MLflow or equivalent), model serving (FastAPI/TF‑Serving/Torch Serve/TGI/vLLM), observability.
  • Fluency in Python and the ML stack (Num Py/Pandas, scikit‑learn, XGBoost/Light

    GBM, PyTorch/Tensor Flow).
  • Excellent communication; can drive projects independently as an Individual Contributor.
  • Experience fine tuning SLMs is a huge plus.
Must have
  • Experience with agent frameworks (Lang Graph/Lang Chain Agents, Auto Gen, Google ADK) and tool use (function calling, tool routing, planners).
  • Retrieval/RAG design: chunking strategies, embedding models, vector stores (FAISS, Pinecone, Weaviate), hybrid search, evals.
  • Must have implemented projects involving some classical ML problems(classification, clustering, regression, anomaly detection, time series etc.).
  • Some working experience with Cloud services, CI/CD and Microservices.
Equal Opportunity Statement

Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation.

For more information, visit  Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to apply to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.

#J-18808-Ljbffr
To View & Apply for jobs on this site that accept applications from your location or country, tap the button below to make a Search.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
 
 
 
Search for further Jobs Here:
(Try combinations for better Results! Or enter less keywords for broader Results)
Location
Increase/decrease your Search Radius (miles)
0
200
Filters
Education Level
Experience Level (years)
Posted in last:
Salary