Sabzi Mandi Delhi Ai/ml engineer Jobs – 283 Open Jobs Today

AI ML Engineer
Optum —Noida, Uttar Pradesh
- Full-time
- Azure
- Computer Science
- Master's degree
- Health insurance
AI Engineer
Agnisys Technology Inc —Noida, Uttar Pradesh
- From ₹15,00,000 a year
- Full-time
- Azure
- Computer Science
- Master's degree
- Health insurance
Quick apply
11d
Associate AI/ML Engineer
Optum —Noida, Uttar Pradesh
- Full-time
- Azure
- Computer Science
- Master's degree
- Health insurance
AI/ML Engineer
Infoicon Technologies Pvt Ltd —Noida, Uttar Pradesh
- ₹35,000 - ₹50,000 a month
- Full-time
- Machine learning
- APIs
- In-person
Quick apply
AI/ML Engineer
Lenskart —Delhi, Delhi
- Full-time
- Hybrid work
- Oracle
- Master's degree
- Databases
AI / ML Automation Engineer
Corvi Technologies —Delhi, Delhi
- ₹20,00,000 - ₹25,00,000 a year
- Full-time
- Computer Science
- DevOps
- Research
Quick apply
Associate- AI/ML Engineer(Sustainability)
Bain & Company Inc —Delhi, Delhi
- Full-time
- Azure
- Computer Science
- Master's degree
Gen AI Engineer
Digixito Services Pvt Ltd. —Noida, Uttar Pradesh
- ₹2,40,000 - ₹5,00,000 a year
- Full-time
- Computer Science
- Master's degree
- Databases
Quick apply
14d
AI/ML Engineer
Mtree Software —West District, Delhi
- Computer Science
- Master's degree
- Bachelor's degree
Lead AI Engineer — Agentic AI & Machine Learning
Trexova Wellbeing Pvt Ltd —Delhi, Delhi
- From ₹25,00,000 a year
- Full-time
- Azure
- Master's degree
- SQL
Quick apply
6d
AI/ML Developer
Webkul software —Noida, Uttar Pradesh
- Full-time
- Master's degree
- Bachelor's degree
- Machine learning
- Health insurance
- Flexible schedule
Quick apply
AI/ML Engineer
commdel —Noida, Uttar Pradesh
- Full-time
- Machine learning
- Recruiting
- AI
- Health insurance
AI/ML Engineer
PrismHR —Noida, Uttar Pradesh
- Full-time
- Azure
- Computer Science
- Master's degree
Quick apply
AI Engineer
Henry Harvin Education —Noida, Uttar Pradesh
- ₹3,00,000 - ₹7,00,000 a year
- Full-time
- Azure
- Master's degree
- SQL
Quick apply
Test Engineer II (AI Test Engineer )
Siemens —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Computer Science
- Java
- SQL
AI/ML Engineer
EXL Service —Noida, Uttar Pradesh
- Full-time
- Computer Science
- Master's degree
- Databases
AI-ML Engineer
RMSI —Noida, Uttar Pradesh
- Full-time
- Master's degree
- Machine learning
- AI
AI/ML Engineer - Senior
Spark Eighteen —New Delhi District, Delhi
- Full-time
- Machine learning
- AI
- Python
- Health insurance
Associate - AI ML Engineer (Consumer Products AI)
Bain & Company Inc —Delhi, Delhi
- Full-time
- Microsoft Powerpoint
- Microsoft Excel
- Azure
AI/ML Engineer
Websenor —Noida, Uttar Pradesh
- Full-time
- Azure
- Master's degree
- AWS
Quick apply

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AI ML Engineer

Optum -
Noida, Uttar Pradesh

Apply Now

Job details

Full-time

Benefits

Health insurance

Qualifications

TensorFlow
Cloud infrastructure
Azure
Computer Science
Big data
NumPy
Master's degree
SQL
Pandas
AWS
Analysis skills
Bachelor's degree
Kafka
Data science
AI
Communication skills
Python
Data Science
Hadoop

Full job description

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.

We are seeking a visionary AI Engineering Lead who excels at the intersection of advanced AI expertise, strategic thinking, and impactful leadership. This role is ideal for someone who can architect and deliver enterprise-grade AI solutions, mentor AI engineering talent, and drive innovation in Generative AI. You will be instrumental in shaping our AI engineering culture, technology strategy, and customer-centric solutions, with a solid focus on accuracy, scalability, performance, and robust design.

Builder Responsibilities:

Design, develop, and deploy AI-powered solutions using no-code, low-code, and advanced platforms, translating business needs into scalable applications that enhance products, workflows, and decision-making.

Primary Responsibilities:

Lead the design, development, and implementation of scalable AI/ML solutions, leveraging Python, SQL, pandas, numpy, and modern ML frameworks (TensorFlow, PyTorch, Scikit Learn)
Oversee end to end ML workflows-from data preparation, feature engineering, EDA, and model development to evaluation, deployment, and continuous monitoring
Guide model selection, optimization, and tuning, ensuring solutions balance performance, explainability, cost, and Responsible AI principles
Build and maintain production grade ML pipelines with orchestration and experiment tracking tools such as MLflow, Feature Stores, ONNX, and vector databases
Lead drift analysis, observability, and model health monitoring to ensure ongoing accuracy, reliability, and robustness in production environments
Design and support scalable, multi cloud ML infrastructure (Azure/GCP primary, AWS optional), incorporating best practices for compute, storage, networking, and distributed data processing
Collaborate with data engineering teams to integrate real time and batch pipelines built on Synapse/Big Query, Dataflow/Databricks, and Kafka/EventHub/Pub Sub
Work closely with engineering, product, data science, and UX to translate business requirements into actionable technical solutions and architecture patterns
Review and guide the creation of architecture diagrams, C4 models, ADRs, and technical specifications as part of engineering governance
Mentor and coach data scientists and ML engineers on best practices in model development, experimentation, coding standards, optimization, and cloud native ML deployment
Ensure ML systems meet high standards of scalability, security, reliability, automation, observability, and operational excellence
Collaborate with front end teams where needed to ensure ML components integrate seamlessly with product workflows and user-facing experiences
Stay current with emerging AI/ML tools, frameworks, and research; evaluate applicability to current and future projects
Communicate technical concepts, design trade-offs, and recommendations clearly to both technical and non technical stakeholders, including leadership
Document methodologies, experiments, findings, and implementation details to ensure maintainability and knowledge sharing across teams
Comply with company policies, employment terms, and organizational directives related to work arrangements and project assignments
Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

Required Qualifications:

Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field
6+ years of experience in Data Science, AI/ML, or a similar role
Experience with the full life cycle of AI/ML projects, including EDA, model development, tuning, and drift analysis
Hands-on experience in delivering production-grade AI/ML projects
Solid programming skills in Python, with experience in pandas, numpy, and SQL
Solid understanding of mathematical and statistical concepts
Proficiency in frameworks such as Scikit Learn, TensorFlow, and PyTorch

Proven excellent problem-solving and analytical thinking skills
Proven solid communication and collaboration skills to work effectively in a team environment

Preferred Qualifications:

Familiarity with the US Healthcare domain
Knowledge of Big Data technologies (PySpark, Hadoop) and data streaming tools (Kafka, etc.)

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

Apply Now

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