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 productionize 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/TorchServe/TGI/vLLM), observability.
• Fluency in Python and the ML stack (NumPy/Pandas, scikit-learn, XGBoost/LightGBM, PyTorch/TensorFlow).
• Excellent communication; can drive projects independently as an Individual Contributor.
• Experience fine tuning SLMs is a huge plus

Must have:

• Experience with agent frameworks (LangGraph/LangChain Agents, AutoGen, 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

Best Regards,

Manohar Swamy

DTAI Hiring Team, Genpact

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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 Follow us on Twitter, Facebook, LinkedIn, and YouTube. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay 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..