What AI Ml Engineer Jobs are in India?

**Requisition number:**
**Job category:** Technology
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.**
**Primary Responsibilities:**
+ Work with Sr. AI/ML engineers and Lead for Experiments with novel model architectures or algorithms
+ Up to date with cutting-edge AI models, including deep learning, reinforcement learning, and generative architectures
+ Advance agentic capabilities by designing autonomous systems that can reason, plan, and interact with complex environments
+ Prototype and refine novel algorithms to improve model performance, scalability, and interpretability
+ Collaborate with cross-functional teams to translate theoretical advancements into practical enterprise applications
+ Conduct rigorous experimentation and benchmarking to evaluate model efficacy and robustness
+ Publish findings, contribute to open-source initiatives, and stay abreast of emerging trends in AI research
+ Ensure ethical AI development by incorporating fairness, transparency, and accountability into model design
+ Optimize training pipelines and infrastructure for large-scale model deployment and continuous learning
+ Partner with data engineering and product teams to integrate AI solutions into production systems
+ Drive end-to-end delivery of AI-powered solutions across cross-functional teams
+ Analyzes and investigates
+ Provides explanations and interpretations within area of expertise
+ 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 regard 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
**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.
**Required Qualifications:**
+ Bachelor's or master's degree in computer science, Engineering, or a related field
+ Graduate degree or equivalent experience
+ 5+ years of experience in software development
+ 2+ years of experience delivering solutions with a focus on AI/ML
+ Experience to collaborate and work with Sr. AI/ML engineers and Lead to develop new machine learning models from scratch or improvising it
+ Extensive experience implementing generative AI solutions using OpenAI compatible APIs
+ Hands-on experience with Azure Functions, Azure Monitor, and App Insights
+ Experience with Cloud-based AI and data services
+ Python, Databricks, RAG, Agentic, AI Foundary, LangFuse
+ Experience in GitHub & M365 Copilot,Deep learning frameworks such as PyTorch, TensorFlow, Scikit Learn
+ Experience with frontend development using React or Angular, and backend services using Java or .NET
+ Solid understanding of RAG architecture including knowledge of vector databases and semantic search
+ Advanced proficiency in Python for AI/ML and automation
+ Proven expertise in Azure Document Intelligence, OCR, and Databricks
+ Proven enterprise search, NLP, Speech AI, Vision AI, Supervised & unsupervised ML
+ Proven to lead the design and implementation of intelligent applications using Azure OpenAI, LLM Gateway, and Retrieval-Augmented Generation (RAG) techniques
+ Proven excellent communication and stakeholder management skills
**Preferred Qualifications:**
+ Azure certifications (e.g., Azure AI Engineer Associate, Azure Developer Associate)
+ Experience with prompt engineering and fine-tuning LLMs
+ Experience working in agile development environments
+ Agentic AI concepts & Implementation
_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._

**Position:**
AI ML Engineer
**Job Description:**
+ 2 to 5+ years of experience in understanding the problem statement, data handling/triage, selecting and improving neural network models using deep learning frameworks to solve business problems.
+ Excellent hands-on Coding in Python (mandatory), C/C++ or Java.
+ Experience in developing AI/ML/DL models by using transfer learning or from scratch.
+ Reasonably good knowledge on leading deep learning frameworks like Tensorflow, PyTorch, ONNX, Keras and others. Working experience in computer vision models like Yolo, Mobilenet, Resnet etc.
+ Good understanding and working knowledge of AI/ML/DL on Edge (for e.g. Nvidia Jetson family, Qualcomm, Intel, Rpi).
+ Thorough understanding and experience of DL/AI/ML lifecycle - full neural network pipeline, starting from data collection to model building to experimental framework to data analytics.
+ Developed/optimized various models in computing domain (Video, Statistics , Audio and others).
+ Demonstrated experience in completing data science projects with or without minimal supervision.
+ Must possess conceptual understanding of various modelling techniques, pros and cons of each technique.
**Added Advantage:**
+ Proven record of migrating Al/ML/DL models/algorithms to low level platforms.
+ Familiar with optimizing code for minimal usage of CPU and memory.
**Location:**
IN-GJ-Ahmedabad, India-Ognaj (eInfochips)
**Time Type:**
Full time
**Job Category:**
Engineering Services
Arrow Electronics, Inc.'s policy is to provide equal employment opportunities to all qualified employees and applicants without regard to race, color, religion, age, sex, marital status, gender identity or expression, sexual orientation, national origin, disability, citizenship, veran status, genetic information, or any other characteristics protected by applicable state, federal or local laws. Our policy of equal employment opportunity and affirmative action applies to all employment decisions personnel policies and practices, or programs.

Applied AI/ML Engineer
_corporate_fare_ Google _place_ Bengaluru, Karnataka, India
**Mid**
Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.
**Minimum qualifications:**
+ Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
+ 3 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree.
**Preferred qualifications:**
+ Experience working in a financial, audit, or highly regulated domain where deterministic accuracy and auditability are paramount.
+ Experience in full-stack development for end-to-end machine learning solutions.
+ Experience building Agentic tools and systems (production-ready, not POCs).
+ Experience in classical ML modeling (e.g., time-series forecasting, tree-based models) alongside modern Large Language Model (LLM)/Generative AI tooling.
+ Expertise in developing and deploying AI/ML models and utilizing modern observability/monitoring tools to track performance, latency, and model drift.
+ Excellent communication and storytelling skills, with a proven ability to translate complex technical architectures and probabilistic model behaviors to executive finance leadership.
**About the job**
Google's leadership team hand-picks thorny business challenges, and members of BizOps work in small teams to find solutions. As part of this team you fully immerse yourself in data collection, draw insight from analysis, and then zoom out to develop compelling, synthesized recommendations. Taking strategy one step further, you also persuasively communicate your recommendations to senior-level executives, roll-up your sleeves to help drive implementation and check back-in to see the impact of your recommendations.
As an Applied AI and ML Engineer in Finance Data and Analytics (DnA) team, you will lead the technical strategy, design, and deployment of end-to-end AI/ML and agentic solutions to transform legacy finance processes into AI-native workflows. You will operate at the intersection of advanced machine learning and product-driven transformation. You will not just build models, design self-sustaining, self-correcting agentic systems that partner with finance Googlers to drive unprecedented efficiency across Google's finance organization.
**Responsibilities**
+ Lead the technical design of multi-agent workflows, utilizing a various toolkit (ML and Gemini LLMs) to solve complex, multi-layered financial problems.
+ Build, prototype, and scale end-to-end AI agents. Outline system architectures that prioritize reliability, usability, and auditability ensuring clear human-in-the-loop interfaces for finance professionals.
+ Take prototypes from isolated testing environments to scaled production systems. Design and deploy high-availability model endpoints with health checks, error handling, retries, and fallback mechanisms.
+ Implement evaluation frameworks and guardrails to eliminate logical errors, hallucinations, and biases in automated financial decision-making.
+ Partner closely with Product Managers, Engineers, and Finance stakeholders to translate ambiguous finance problems into concrete technical specifications. Act as a self-sustaining technical leader who helps unblock system integration hurdles in partnership with Engineering teams.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) .
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See alsoGoogle's EEO Policy ( ,Know your rights: workplace discrimination is illegal ( ,Belonging at Google ( , andHow we hire ( .
If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form ( .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also and If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form:

**Requisition number:**
**Job category:** Technology
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 Assoicate AI/ML Engineer with strong software engineering fundamentals and growing depth in AI/ML and data platforms. This role emphasizes building production‑ready, scalable AI services, applying Generative AI techniques, and continuously expanding expertise across machine learning and data engineering domains.
**Primary Responsibilities:**
+ AI/ML Solution Development
+ Design, implement, and optimize AI and machine learning solutions, including statistical models, deep learning, and Generative AI systems
+ Model Training, Evaluation & Optimization
+ Execute proof‑of‑concepts, train models at scale, and baseline performance using quantitative evaluation metrics
+ Platform & Infrastructure Engineering
+ Build and operate large‑scale training and inference pipelines using Databricks, PySpark, and cloud platforms (AWS, Azure, GCP)
+ Generative AI & Advanced Techniques
+ Apply RAG, LangChain, and Vector Databases to develop GenAI solutions
+ Optimize and quantize models to improve performance, scalability, and cost efficiency
+ Software Engineering & APIs
+ Develop REST and FastAPI services, containerize solutions using Docker, and integrate UI tools such as Streamlit or Flask
+ Collaboration & Communication
+ Partner with cross‑functional teams to translate business needs into clear, scalable AI solutions, and present insights effectively
+ Leadership, Mentorship & Culture
+ Mentor engineers, participate in design and architecture reviews, and uphold standards for quality, safety, and trust
+ 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, or a related field
+ Software & AI/ML Engineering Experience
+ 1+ years of professional software engineering experience, delivering high‑quality, production‑grade commercial applications end to end
+ 1+ years of AI/ML engineering experience, including deploying models at scale and contributing to technical leadership across AI initiatives
+ Demonstrated ability to design, build, deploy, and operate production‑ready services, including CI/CD and cloud infrastructure
+ Programming & Systems Expertise
+ 1+ years of hands‑on experience with Java, Python, SQL, and scripting
+ Proven solid foundation in clean, maintainable code, system design, API development, and modern software engineering best practices
+ Cloud & Data Platform Experience
+ 1+ years of experience across AWS, Azure, and GCP, with deeper hands‑on experience in AWS and cloud‑native architectures
+ Knowledge with Databricks, MongoDB, PySpark/SparkSQL, and data pipeline implementation
+ Familiarity with Hadoop ecosystems and distributed data processing
+ MLOps, Infrastructure & Governance
+ Experience with data governance concepts, including access control and platform‑level controls in Databricks (Delta Lake, Unity Catalog)
+ Working knowledge of MLOps practices, including model lifecycle management and operationalization
+ Familiarity with Infrastructure as Code using Terraform and CloudFormation
+ Technical Expertise
+ Solid knowledge of AI/ML frameworks, orchestration tools, and scalable architectures
+ Proficiency with big data technologies, including Spark, Hadoop, and Kafka
+ Solid foundation in data science principles, including statistics, probability theory, optimization, simulation, and data modeling
**Candidate Profile & Growth Mindset**
+ Solid alignment is with software engineering fundamentals, including system design, clean and maintainable coding, and building production‑ready services end to end, from development through deployment and cloud infrastructure
+ Comfortable working across AWS and cloud‑native architectures, with increasing hands‑on application of AI concepts, particularly LLMs and RAG‑based solutions
+ Completed AI Dojo Generative AI training, strengthening applied Generative AI foundations and practical implementation skills
+ Actively developing deeper expertise in core machine learning and data engineering, including:
+ Traditional ML models, algorithms, and evaluation techniques
+ Feature engineering and data pipelines
+ Large‑scale data processing using Spark and Databricks
+ Highly motivated to close skill gaps through structured training, mentorship, and hands‑on learning, and values collaboration and knowledge‑sharing within the team
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.
_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._

**Senior AI/ML Engineer**
**About the Role**
We're seeking a Senior AI/ML Engineer to lead the design, development, and deployment of ML/AI solutions, agents, and data automations across our AWS-based analytics platform. In this role, you'll architect end-to-end ML systems, set technical direction, mentor junior engineers and analysts, and drive best practices in MLOps and ML infrastructure. This is a high-impact role for an experienced engineer who can own complex, ambiguous problems and deliver production-grade machine learning and AI agent solutions.
**Key Responsibilities**
+ Architect, train, evaluate, and optimize machine learning models, owning the full model lifecycle from experimentation to production
+ Design and build AI agents and automated workflows using Amazon Quick and AWS orchestration tools
+ Define and implement efficient ML workflows, optimizing for performance, scalability, and cost
+ Architect and maintain serverless data pipelines using AWS Glue, Step Functions, Lambda, and EventBridge Scheduler
+ Lead the design of our analytics service engine for ingesting, transforming, and querying data across S3 storage (Excel/CSV files, Delta Tables, library files)
+ Establish MLOps practices, CI/CD pipelines, and infrastructure standards for the team
+ Integrate with external systems (e.g., SAP, Salesforce) and design robust data-sourcing strategies
+ Design and build REST APIs and model-serving infrastructure for production workloads
+ Mentor junior engineers, conduct code reviews, and set technical standards
+ Partner with cross-functional stakeholders to translate business needs into ML solutions
**Required Technical Skills**
+ **Programming:** Expert in Python with a track record of writing clean, well-tested, production-grade code
+ **ML Frameworks:** Strong, hands-on experience with PyTorch, TensorFlow, and scikit-learn
+ **Model Development:** Deep understanding of model training, evaluation, inference, and optimization for efficient ML at scale
+ **AI Agents & Automation:** Proven experience building AI agents and automated workflows; proficient with Amazon Quick
+ **MCP & Tool Integration:** Experience building and integrating Model Context Protocol (MCP) servers to connect LLMs and AI agents with external tools, data sources, and services
+ **APIs & Serving:** Strong experience designing REST APIs and deploying/serving ML models in production
+ **Cloud & Infrastructure:** Solid experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker)
+ **MLOps & Tooling:** Proficient with Git, CI/CD pipelines, and ML infrastructure best practices
**Familiarity with Our Architecture**
Our team's analytics platform is built on AWS. Deep familiarity with the following components is expected, and you'll help shape how we use and evolve them:
+ **Orchestration & Compute:** AWS Glue, AWS Step Functions, AWS Lambda, EventBridge Scheduler
+ **Storage & Data:** S3 (CSV/Excel, Delta Tables, library files), Glue Data Catalog, Glue Crawler
+ **Query & Analytics:** Amazon Athena
+ **AI & Automation:** Amazon Quick
+ **Integration:** External systems such as SAP and Salesforce
+ **Notifications:** Amazon SNS and Amazon SES for alerting and email
+ **Infrastructure & Security:** AWS IAM, AWS Secrets Manager, CloudWatch, AWS Systems Manager (for environment parameters)\
+ **Source Control & CI/CD:** Bitbucket for version control, pull request workflows, and pipeline-based deployments
**Core Competencies**
+ **Problem-Solving:** Independently solves complex, ambiguous ML and automation challenges and designs scalable solutions
+ **Technical Leadership:** Sets technical direction, drives architecture decisions, and mentors junior engineers
+ **Collaboration:** Leads cross-functional initiatives and owns the delivery of significant components end-to-end
+ **Continuous Improvement:** Champions MLOps, software engineering best practices, and ML infrastructure across the team
+ **Code Quality:** Sets and enforces high standards through clean, testable code, rigorous reviews, and robust version control
**Fortive Corporation Overview**
Fortive's essential technology makes the world safer and more productive. We accelerate transformation in high-impact fields like workplace safety, build environments, and healthcare.
We are a global industrial technology innovator with a startup spirit. Our forward-looking companies lead the way in healthcare sterilization, industrial safety, predictive maintenance, and other mission-critical solutions. We're a force for progress, working alongside our customers and partners to solve challenges on a global scale, from workplace safety in the most demanding conditions to advanced technologies that help providers focus on exceptional patient care.
We are a diverse team 10,000 strong, united by a dynamic, inclusive culture and energized by limitless learning and growth. We use the proven Fortive Business System (FBS) to accelerate our positive impact.
At Fortive, we believe in you. We believe in your potential-your ability to learn, grow, and make a difference.
At Fortive, we believe in us. We believe in the power of people working together to solve problems no one could solve alone.
At Fortive, we believe in growth. We're honest about what's working and what isn't, and we never stop improving and innovating.
Fortive: For you, for us, for growth.
**About Advanced Sterilization Products**
ASP is a leading global provider of innovative sterilization and disinfection solutions, and a pioneer of low-temperature hydrogen peroxide sterilization technology.ASP's mission is to protect patients during their most critical moments. We support healthcare facilities in the fight to protect patients against hospital acquired infections, which are a leading cause of morbidity and mortality. ASP's products, which are sold globally, include the STERRAD system for sterilizing instruments and the EVOTECH and ENDOCLENS systems for endoscope reprocessing and cleaning.
We Are an Equal Opportunity Employer. Fortive Corporation and all Fortive Companies are proud to be equal opportunity employers. We value and encourage diversity and solicit applications from all qualified applicants without regard to race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity or expression, or other characteristics protected by law. Fortive and all Fortive Companies are also committed to providing reasonable accommodations for applicants with disabilities. Individuals who need a reasonable accommodation because of a disability for any part of the employment application process, please contact us at
**Bonus or Equity**
This position is also eligible for bonus as part of the total compensation package.
This position is also eligible for bonus as part of the total compensation package.
We are an Equal Opportunity Employer
Fortive Corporation and all Fortive Companies are proud to be equal opportunity employers. We value and encourage diversity and solicit applications from all qualified applicants without regard to race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity or expression, or other characteristics protected by law. Fortive and all Fortive Companies are also committed to providing reasonable accommodations for applicants with disabilities. Individuals who need a reasonable accommodation because of a disability for any part of the employment application process, please contact us at

**Requisition number:**
**Job category:** Technology
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.**
**Primary Responsibilities:**
+ Lead design and delivery of scalable AI/ML solutions from data to production
+ Develop, train, evaluate, and optimize advanced machine learning models
+ Productionize models using MLOps best practices, CI/CD, and monitoring
+ Collaborate with data, product, and engineering teams to solve business problems
+ Mentor engineers, review code, and drive ML standards and best practices
+ Stay current with AI/ML advancements and ensure responsible, ethical AI usage
+ Collaborate with research, engineering, and product teams to translate cutting-edge AI advancements into production-ready capabilities. Uphold ethical AI principles by embedding fairness, transparency, and accountability throughout the model development lifecycle.
+ 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 regard 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, AI, ML, Data Science, or a related field
+ 8+ years of hands on experience in machine learning, data science, or AI engineering
+ Experience deploying models to production environments with MLOps practices
+ Experience with cloud platforms (Azure, AWS, or GCP) and containerization (Docker, Kubernetes preferred)
+ Solid expertise in Python and ML frameworks (TensorFlow, PyTorch, scikit learn)
+ Solid understanding of ML algorithms, deep learning, NLP, or computer vision
+ Proficiency in data processing, feature engineering, and model evaluation
+ Knowledge of CI/CD, model monitoring, and performance optimization
+ Proven solid problem solving, communication, and collaboration skills
+ Proven ability to mentor engineers and work cross functionally with product and data teams
_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._
\#NIC #NJP

**Requisition number:**
**Job category:** Technology
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.**
**Primary Responsibilities:**
+ Own end-to-end AI/ML development for GICS (Global Infrastructure and Cloud Services) initiatives, spanning problem formulation, data exploration, model selection, training, evaluation, deployment, and monitoring in production
+ Design and evaluate machine learning models using rigorous statistical and ML metrics (e.g., precision/recall, F1 score, ROC AUC), ensuring models are fit for business-critical workflows,
+ Develop and operationalize LLM-based systems with a strong understanding of model behavior, limitations, hallucination risk, bias, fairness, and explainability-beyond simple prompt engineering
+ Assess and mitigate bias, fairness, and ethical risks in ML and LLM solutions, aligning with Responsible AI principles and enterprise governance expectations
+ Build production-quality AI services and pipelines, leveraging strong software engineering fundamentals (Python, APIs, microservices, data pipelines, model serving, CI/CD)
+ Translate research and experimentation into scalable solutions, balancing experimental rigor with real-world performance, reliability, and maintainability
+ Partner with architects, product managers, and platform teams to ensure AI solutions integrate cleanly with enterprise systems (data platforms, observability, security, and APIs)
+ Lead technical design decisions for AI/ML components, serving as a subject matter expert and reviewer for model choices, evaluation approaches, and implementation quality
+ Monitor and improve models post-deployment, establishing feedback loops, retraining strategies, performance dashboards, and drift detection where appropriate
+ Mentor other engineers and data scientists across CIOP AI by setting high technical standards, reviewing work, and promoting best practices in ML engineering and Responsible AI
+ 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:**
+ Master's degree in Data Science, Computer Science, or related field; PhD preferred
+ 8+ years of experience in AI/ML engineering, including model development and deployment
+ Hands-on experience building, evaluating, and deploying ML models in production, with clear understanding of evaluation metrics such as precision, recall, F1 score, and tradeoffs between them
+ Experience with building Agentic AI application, using frameworks such as Langchain, Langgraph and autogen
+ Deep foundation in machine learning and data science, including statistics, probability, optimization, and modern ML techniques (supervised, unsupervised, deep learning)
+ Proven expertise with LLMs and NLP systems, including model behavior analysis, bias/fairness considerations, and techniques to improve reliability and accuracy beyond prompt tuning
+ Solid software engineering skills, including ability to build APIs, services, and data pipelines programmatically to support production AI systems at scale
+ Demonstrated ability to operate as a senior individual contributor, owning complex problems, influencing technical direction, and translating advanced AI concepts for stakeholders
_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._

**Requisition number:**
**Job category:** Technology
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 an experienced and hands-on Director of Software Engineering to lead the design, development, and scaling of next-generation Agentic AI platforms that power M&R Sales-digital experiences.
This role combines deep expertise in AI/LLMs, platform engineering, and organizational leadership, with a strong focus on building scalable AI systems, orchestrating intelligent agents, and driving enterprise-wide adoption of AI-driven capabilities. The ideal candidate will lead high-performing engineering teams while remaining closely engaged in shaping architecture, advancing AI-enabled development (AIDLC), and delivering impactful, customer-facing digital solutions.
**Primary Responsibilities:**
+ Technical Leadership & Delivery
+ Lead the design, development, and deployment of enterprise-scale AI/ML and Generative AI solutions, including LLM and agentic systems (e.g., OpenAI, Gemini, Claude, Copilot)
+ Define and scale AI-driven engineering practices, including AI-enabled SDLC (AIDLC) frameworks, tools, and reusable platforms
+ Drive the productionization of AI solutions, including performance optimization, monitoring, observability, and reliability
+ Apply AI-driven automation and agent-based workflows to improve engineering productivity, quality, and speed to market
+ Team Leadership
+ Build, lead, and mentor a high-performing, globally distributed team of AI/ML leaders, AI/agentic engineers, and full-stack and quality engineers
+ Own talent development, including hiring, upskilling, performance management, and career growth
+ Foster a culture of innovation, experimentation, and continuous learning
+ Stakeholder & Business Engagement
+ Partner with Product, Business, and Platform teams to define AI-driven solutions aligned to strategic priorities
+ Drive alignment on roadmap, prioritization, and delivery outcomes across cross-functional teams
+ Resolve complex technical and organizational challenges spanning engineering, data, infrastructure, and business domains
+ Influence product and business strategy by bringing a strong AI/ML perspective to decision-making
+ Thought Leadership & Evangelism
+ Stay current with emerging trends in AI, LLMs, and agentic systems, and translate them into enterprise opportunities
+ Champion responsible AI practices, including governance, risk management, and ethical use
+ Build and communicate compelling narratives demonstrating business value and impact of AI initiatives
+ Represent the organization in internal and external forums as a leader in AI innovation
+ 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:**
+ 15+ years of experience in software engineering, with significant focus on AI/ML and data-driven systems
+ 5+ years of experience designing and deploying cloud-native solutions (Azure or AWS), including scalable AI/ML workloads
+ 4+ years of experience leading large-scale AI/ML engineering organizations (20-50+ team members) with globally distributed teams
+ 2+ years of Hands-on experience with Python and modern ML/GenAI frameworks (e.g., PyTorch, TensorFlow, LLM ecosystems, RAG, agent frameworks)
+ Experience implementing AI-enabled software development lifecycle practices (AIDLC) and related tools/frameworks like BMAD, SpecKit
+ Demonstrated ability to connect AI investments to measurable business outcomes (ROI, efficiency, growth, risk reduction)
+ Flexibility to collaborate with global teams, including overlap with US-based stakeholders as needed
**Preferred Qualifications:**
+ Experience in the healthcare domain
+ Experience in development of consumer facing digital experiences
_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._

Job Description:
About McDonald's:
One of the world's largest employers with locations in more than 100 countries, McDonald's Corporation has corporate opportunities in Hyderabad. Our global offices serve as dynamic innovation and operations hubs, designed to expand McDonald's global talent base and in-house expertise. Our new office in Hyderabad will bring together knowledge across business, technology, analytics, and AI, accelerating our ability to deliver impactful solutions for the business and our customers across the globe.
Department Overview
We are looking for a Machine Learning Engineer to develop, train, and deploy machine learning models, ensuring they are accurate, scalable, and production-ready. The ideal candidate has strong hands-on experience in ML model development, deployment, and MLOps practices, with familiarity in data exploration and feature engineering.
Key Responsibilities:
+ Develop, train, and evaluate machine learning models, including feature engineering, model selection, and hyperparameter tuning.
+ Deploy ML models into production environments, ensuring scalability, reliability, and maintainability.
+ Design, implement, and maintain model deployment pipelines, including CI/CD workflows, automated testing, and model versioning.
+ Develop and maintain monitoring systems to track model performance, data drift, and system health.
+ Build backend services and APIs to integrate ML models with product systems and applications.
+ Apply best practices in MLOps, ensuring reproducibility, reliability, and efficient model operations.
+ Collaborate with engineers and product teams to deliver high-quality ML solutions.
Qualifications
+ Master's degree in computer science, Machine Learning, Data Science, or a related field.
+ 5+ years of experience in ML engineering or related roles.
+ Proven experience in training, developing, and deploying ML models.
+ Familiarity with data exploration, preprocessing, and feature engineering.
+ Proficiency in Python and standard ML/data science libraries (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, etc.).
+ Experience with API development and backend integration (e.g., FastAPI, Flask, Django,).
+ Strong understanding of MLOps tools and practices, such as MLflow, Kubeflow, Airflow, Prefect, Docker, Kubernetes.
+ Experience building data pipelines, processing workflows, and monitoring deployed models.
Preferred:
+ Experience with distributed computing frameworks (Spark, Ray).
+ Familiarity with cloud platforms (AWS, GCP) or platform-agnostic orchestration tools.
+ Experience working in fast-paced, experimentation-driven environments.
+ Knowledge of microservices or event-driven architectures.
McDonald's is the world's leading global foodservice retailer with over 40,000 locations in over 100 countries. Approximately 95% of McDonald's restaurants worldwide are owned and operated by independent local business owners. At McDonald's, we lead through our values centered on inclusivity, service, integrity, community, and family. Here is your chance to get in on something special as we grow our corporate team in India and allow you to grow your career.
Requsition ID: 3723