115 Machine Learning Engineer jobs in Chennai

Role**: Engineer

Required Technical Skill Set**Artificial Intelligence/ Machine Learning

Experience: 5 to 10 Years

Location: Hyd, Noida, Chennai, Mumbai

Desired Competencies (Technical/Behavioral Competency)

Must-Have**

AI/ML, Azure ML Studio, AI/ML On Databricks, Python & CICD Devops.

Supervised and unsupervised ML and Predictive Analytics using Python

• Feature generation through data exploration and SME requirements

• Relational database querying

• Applying computational algorithms and statistical methods to structured and unstructured data

• Communicating results through data visualizations

Programming Languages: Python, PySpark

• Big Data Technologies: Spark with PySpark

• Cloud Technologies: Azure (ADF, Databricks, Storage Account Usage, WebApp, Key vault, SQL Server, function app, logic app, Synapse, Azure Machine Learning, Azure DevOps)

• RBAC Maintenance for Azure roles.

• Github branching and managing

• Terraform scripting for Azure IAA

• Optional: GCP (Big Query, DataProc, Cloud Storage

Good-to-Have

Responsibility of / Expectations from the Role

Designing, developing, and deploying AI solutions on the Azure platform

**Avant de postuler à un emploi, sélectionnez votre langue de préférence parmi les options disponibles en haut à droite de cette page.**
Découvrez votre prochaine opportunité au sein d'une organisation qui compte parmi les 500 plus importantes entreprises mondiales. Envisagez des opportunités innovantes, découvrez notre culture enrichissante et travaillez avec des équipes talentueuses qui vous poussent à vous développer chaque jour. Nous savons ce qu'il faut faire pour diriger UPS vers l'avenir : des personnes passionnées dotées d'une combinaison unique de compétences. Si vous avez les qualités, de la motivation, de l'autonomie ou le leadership pour diriger des équipes, il existe des postes adaptés à vos aspirations et à vos compétences d'aujourd'hui et de demain.
**Fiche de poste :**
**Job Summary:**
We are seeking a highly skilled MLOps Engineer to design, deploy, and manage machine learning pipelines in Google Cloud Platform (GCP). In this role, you will be responsible for automating ML workflows, optimizing model deployment, ensuring model reliability, and implementing CI/CD pipelines for ML systems.
You will work with Vertex AI, Kubernetes (GKE), BigQuery, and Terraform to build scalable and cost-efficient ML infrastructure. The ideal candidate must have a good understanding of ML algorithms, experience in model monitoring, performance optimization, Looker dashboards and infrastructure as code (IaC), ensuring ML models are production-ready, reliable, and continuously improving. You will be interacting with multiple technical teams, including architects and business stakeholders to develop state of the art machine learning systems that create value for the business.
**Responsibilities:**
+ Managing the deployment and maintenance of machine learning models in production environments and ensuring seamless integration with existing systems.
+ Monitoring model performance using metrics such as accuracy, precision, recall, and F1 score, and addressing issues like performance degradation, drift, or bias.
+ Troubleshoot and resolve problems, maintain documentation, and manage model versions for audit and rollback.
+ Analyzing monitoring data to preemptively identify potential issues and providing regular performance reports to stakeholders.
+ Optimization of the queries and pipelines.
+ Modernization of the applications whenever required
**Qualifications:**
+ Expertise in programming languages like Python, SQL
+ Solid understanding of best MLOps practices and concepts for deploying enterprise level ML systems.
+ Understanding of Machine Learning concepts, models and algorithms including traditional regression, clustering models and neural networks (including deep learning, transformers, etc.)
+ Understanding of model evaluation metrics, model monitoring tools and practices.
+ Experienced with GCP tools like BigQueryML, MLOPS, Vertex AI Pipelines (Kubeflow Pipelines on GCP), Model Versioning & Registry, Cloud Monitoring, Kubernetes, etc.
+ Solid oral and written communication skills and ability to prepare detailed technical documentation of new and existing applications.
+ Strong ownership and collaborative qualities in their domain. Takes initiative to identify and drive opportunities for improvement and process streamlining.
+ Bachelor's Degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc.), international equivalent, or equivalent job experience.
**Bonus Qualifications:**
+ Experience in Azure MLOPS,
+ Familiarity with Cloud Billing.
+ Experience in setting up or supporting NLP, Gen AI, LLM applications with MLOps features.
+ Experience working in an Agile environment, understanding of Lean Agile principles.
**Type de contrat:**
en CDI
_Chez UPS, égalité des chances, traitement équitable et environnement de travail inclusif sont des valeurs clefs auxquelles nous sommes attachés._

**Before you apply to a job, select your language preference from the options available at the top right of this page.**
Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow-people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level.
**Job Description:**
**Job Summary:**
We are seeking a highly skilled MLOps Engineer to design, deploy, and manage machine learning pipelines in Google Cloud Platform (GCP). In this role, you will be responsible for automating ML workflows, optimizing model deployment, ensuring model reliability, and implementing CI/CD pipelines for ML systems.
You will work with Vertex AI, Kubernetes (GKE), BigQuery, and Terraform to build scalable and cost-efficient ML infrastructure. The ideal candidate must have a good understanding of ML algorithms, experience in model monitoring, performance optimization, Looker dashboards and infrastructure as code (IaC), ensuring ML models are production-ready, reliable, and continuously improving. You will be interacting with multiple technical teams, including architects and business stakeholders to develop state of the art machine learning systems that create value for the business.
**Responsibilities:**
+ Managing the deployment and maintenance of machine learning models in production environments and ensuring seamless integration with existing systems.
+ Monitoring model performance using metrics such as accuracy, precision, recall, and F1 score, and addressing issues like performance degradation, drift, or bias.
+ Troubleshoot and resolve problems, maintain documentation, and manage model versions for audit and rollback.
+ Analyzing monitoring data to preemptively identify potential issues and providing regular performance reports to stakeholders.
+ Optimization of the queries and pipelines.
+ Modernization of the applications whenever required
**Qualifications:**
+ Expertise in programming languages like Python, SQL
+ Solid understanding of best MLOps practices and concepts for deploying enterprise level ML systems.
+ Understanding of Machine Learning concepts, models and algorithms including traditional regression, clustering models and neural networks (including deep learning, transformers, etc.)
+ Understanding of model evaluation metrics, model monitoring tools and practices.
+ Experienced with GCP tools like BigQueryML, MLOPS, Vertex AI Pipelines (Kubeflow Pipelines on GCP), Model Versioning & Registry, Cloud Monitoring, Kubernetes, etc.
+ Solid oral and written communication skills and ability to prepare detailed technical documentation of new and existing applications.
+ Strong ownership and collaborative qualities in their domain. Takes initiative to identify and drive opportunities for improvement and process streamlining.
+ Bachelor's Degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc.), international equivalent, or equivalent job experience.
**Bonus Qualifications:**
+ Experience in Azure MLOPS,
+ Familiarity with Cloud Billing.
+ Experience in setting up or supporting NLP, Gen AI, LLM applications with MLOps features.
+ Experience working in an Agile environment, understanding of Lean Agile principles.
**Employee Type:**
Permanent
UPS is committed to providing a workplace free of discrimination, harassment, and retaliation.

**Before you apply to a job, select your language preference from the options available at the top right of this page.**
Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow-people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level.
**Job Description:**
**About Machine Learning Engineering at UPS Technology:**
We're the obstacle overcomers, the problem get-arounders. From figuring it out to getting it done. our innovative culture demands "yes and how!" We are UPS. We are the United Problem Solvers.
Our Machine Learning Engineering teams use their expertise in data science, software engineering, and AI to build next-generation intelligent systems. These systems power our Smart Logistics Network, optimize UPS Airlines, and enhance Global Transportation Operations. We build scalable, production-grade ML solutions that move up to 38 million packages a day (4.7 billion annually), delivering measurable impact across the enterprise
**About this Role:**
We are seeking a visionary **Lead Machine Learning Engineer** to architect, guide, and deliver enterprise-grade ML solutions that drive strategic business outcomes. You will lead cross-functional teams, define technical direction, and ensure the robustness, scalability, and reliability of ML systems across the full lifecycle.
As a Lead MLE, you will play a pivotal role in shaping our ML platform strategy, mentoring senior engineers, and driving adoption of best practices in MLOps, model governance, and responsible AI. You'll collaborate with stakeholders across data science, engineering, and product to translate complex business challenges into intelligent systems.
**Key Responsibilities:**
+ **Lead the design** , development, and deployment of scalable ML models and pipelines for high-impact business applications.
+ Architect ML systems using Vertex AI Pipelines, Kubeflow, Airflow, and manage infrastructure-as-code with Terraform/Helm.
+ Define and implement strategies for automated retraining, drift detection, and model lifecycle management.
+ Oversee CI/CD workflows for ML, ensuring reliability, reproducibility, and compliance.
+ Establish standards for model monitoring, observability, and alerting across accuracy, latency, and cost.
+ Drive integration of feature stores, vector databases, and knowledge graphs for advanced ML/RAG use cases.
+ Ensure security, compliance, and cost-efficiency across ML pipelines and infrastructure.
+ **Champion MLOps best practices** and lead initiatives for reproducibility, versioning, lineage tracking, and governance.
+ **Mentor and coach** senior/junior engineers, fostering a culture of technical excellence and innovation.
+ Stay ahead of **emerging ML technologies** and evaluate their applicability to UPS's ecosystem.
+ Collaborate with leadership, product managers, and domain experts to align ML initiatives with strategic goals.
+ Contribute to long-term ML platform architecture and roadmap planning.
**Required Qualifications:**
**Education**
Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related field (PhD preferred).
**Experience**
+ 8+ years of experience in machine learning engineering, MLOps, or large-scale AI/DS systems.
+ Proven track record of leading ML projects from conception to production.
+ **Deep expertise in Python** (scikit-learn, PyTorch, TensorFlow, XGBoost) and SQL.
+ Experience **architecting ML systems** in cloud environments (GCP Vertex AI, AWS SageMaker, Azure ML).
+ Strong background in **containerization** (Docker, Kubernetes), **orchestration** (Airflow, TFX, Kubeflow), and **infra-as-code** (Terraform/Helm).
+ Experience in **big data and streaming technologies** (Spark, Flink, Kafka, Hive, Hadoop).
+ Hands-on experience with model observability tools (Prometheus, Grafana, EvidentlyAI) and Governance platforms (WatsonX).
+ Strong understanding of ML algorithms, deep learning architectures, and statistical methods.
+ Demonstrated leadership in mentoring teams and influencing technical direction.
**Preferred Qualifications:**
+ Experience with real-time inference systems or low-latency streaming platforms.
+ Hands-on with enterprise ML platforms **(IBM WatsonX, GCP Vertex AI)** and feature stores.
+ Knowledge of model interpretability and fairness frameworks (SHAP, LIME, Fairlearn).
+ Expertise in data/model governance, lineage tracking, and compliance frameworks.
+ Contributions to open-source ML/MLOps libraries or active participation in ML communities.
+ Domain experience in logistics, supply chain, or large-scale consumer platforms.
+ Experience presenting technical solutions to executive stakeholders.
**Employee Type:**
Permanent
UPS is committed to providing a workplace free of discrimination, harassment, and retaliation.

**Avant de postuler à un emploi, sélectionnez votre langue de préférence parmi les options disponibles en haut à droite de cette page.**
Découvrez votre prochaine opportunité au sein d'une organisation qui compte parmi les 500 plus importantes entreprises mondiales. Envisagez des opportunités innovantes, découvrez notre culture enrichissante et travaillez avec des équipes talentueuses qui vous poussent à vous développer chaque jour. Nous savons ce qu'il faut faire pour diriger UPS vers l'avenir : des personnes passionnées dotées d'une combinaison unique de compétences. Si vous avez les qualités, de la motivation, de l'autonomie ou le leadership pour diriger des équipes, il existe des postes adaptés à vos aspirations et à vos compétences d'aujourd'hui et de demain.
**Fiche de poste :**
**About Machine Learning Engineering at UPS Technology:**
We're the obstacle overcomers, the problem get-arounders. From figuring it out to getting it done. our innovative culture demands "yes and how!" We are UPS. We are the United Problem Solvers.
Our Machine Learning Engineering teams use their expertise in data science, software engineering, and AI to build next-generation intelligent systems. These systems power our Smart Logistics Network, optimize UPS Airlines, and enhance Global Transportation Operations. We build scalable, production-grade ML solutions that move up to 38 million packages a day (4.7 billion annually), delivering measurable impact across the enterprise
**About this Role:**
We are seeking a visionary **Lead Machine Learning Engineer** to architect, guide, and deliver enterprise-grade ML solutions that drive strategic business outcomes. You will lead cross-functional teams, define technical direction, and ensure the robustness, scalability, and reliability of ML systems across the full lifecycle.
As a Lead MLE, you will play a pivotal role in shaping our ML platform strategy, mentoring senior engineers, and driving adoption of best practices in MLOps, model governance, and responsible AI. You'll collaborate with stakeholders across data science, engineering, and product to translate complex business challenges into intelligent systems.
**Key Responsibilities:**
+ **Lead the design** , development, and deployment of scalable ML models and pipelines for high-impact business applications.
+ Architect ML systems using Vertex AI Pipelines, Kubeflow, Airflow, and manage infrastructure-as-code with Terraform/Helm.
+ Define and implement strategies for automated retraining, drift detection, and model lifecycle management.
+ Oversee CI/CD workflows for ML, ensuring reliability, reproducibility, and compliance.
+ Establish standards for model monitoring, observability, and alerting across accuracy, latency, and cost.
+ Drive integration of feature stores, vector databases, and knowledge graphs for advanced ML/RAG use cases.
+ Ensure security, compliance, and cost-efficiency across ML pipelines and infrastructure.
+ **Champion MLOps best practices** and lead initiatives for reproducibility, versioning, lineage tracking, and governance.
+ **Mentor and coach** senior/junior engineers, fostering a culture of technical excellence and innovation.
+ Stay ahead of **emerging ML technologies** and evaluate their applicability to UPS's ecosystem.
+ Collaborate with leadership, product managers, and domain experts to align ML initiatives with strategic goals.
+ Contribute to long-term ML platform architecture and roadmap planning.
**Required Qualifications:**
**Education**
Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related field (PhD preferred).
**Experience**
+ 8+ years of experience in machine learning engineering, MLOps, or large-scale AI/DS systems.
+ Proven track record of leading ML projects from conception to production.
+ **Deep expertise in Python** (scikit-learn, PyTorch, TensorFlow, XGBoost) and SQL.
+ Experience **architecting ML systems** in cloud environments (GCP Vertex AI, AWS SageMaker, Azure ML).
+ Strong background in **containerization** (Docker, Kubernetes), **orchestration** (Airflow, TFX, Kubeflow), and **infra-as-code** (Terraform/Helm).
+ Experience in **big data and streaming technologies** (Spark, Flink, Kafka, Hive, Hadoop).
+ Hands-on experience with model observability tools (Prometheus, Grafana, EvidentlyAI) and Governance platforms (WatsonX).
+ Strong understanding of ML algorithms, deep learning architectures, and statistical methods.
+ Demonstrated leadership in mentoring teams and influencing technical direction.
**Preferred Qualifications:**
+ Experience with real-time inference systems or low-latency streaming platforms.
+ Hands-on with enterprise ML platforms **(IBM WatsonX, GCP Vertex AI)** and feature stores.
+ Knowledge of model interpretability and fairness frameworks (SHAP, LIME, Fairlearn).
+ Expertise in data/model governance, lineage tracking, and compliance frameworks.
+ Contributions to open-source ML/MLOps libraries or active participation in ML communities.
+ Domain experience in logistics, supply chain, or large-scale consumer platforms.
+ Experience presenting technical solutions to executive stakeholders.
**Type de contrat:**
en CDI
_Chez UPS, égalité des chances, traitement équitable et environnement de travail inclusif sont des valeurs clefs auxquelles nous sommes attachés._

**Avant de postuler à un emploi, sélectionnez votre langue de préférence parmi les options disponibles en haut à droite de cette page.**
Découvrez votre prochaine opportunité au sein d'une organisation qui compte parmi les 500 plus importantes entreprises mondiales. Envisagez des opportunités innovantes, découvrez notre culture enrichissante et travaillez avec des équipes talentueuses qui vous poussent à vous développer chaque jour. Nous savons ce qu'il faut faire pour diriger UPS vers l'avenir : des personnes passionnées dotées d'une combinaison unique de compétences. Si vous avez les qualités, de la motivation, de l'autonomie ou le leadership pour diriger des équipes, il existe des postes adaptés à vos aspirations et à vos compétences d'aujourd'hui et de demain.
**Fiche de poste :**
**About Machine Learning Engineering at UPS Technology:**
We're the obstacle overcomers, the problem get-arounders. From figuring it out to getting it done. our innovative culture demands "yes and how!" We are UPS. We are the United Problem Solvers.
Our Machine Learning Engineering teams use their expertise in data science, software engineering, and AI to build next-generation intelligent systems. These systems power our Smart Logistics Network, optimize UPS Airlines, and enhance Global Transportation Operations. We build scalable, production-grade ML solutions that move up to 38 million packages a day (4.7 billion annually), delivering measurable impact across the enterprise
**About this Role:**
We are seeking a visionary **Lead Machine Learning Engineer** to architect, guide, and deliver enterprise-grade ML solutions that drive strategic business outcomes. You will lead cross-functional teams, define technical direction, and ensure the robustness, scalability, and reliability of ML systems across the full lifecycle.
As a Lead MLE, you will play a pivotal role in shaping our ML platform strategy, mentoring senior engineers, and driving adoption of best practices in MLOps, model governance, and responsible AI. You'll collaborate with stakeholders across data science, engineering, and product to translate complex business challenges into intelligent systems.
**Key Responsibilities:**
+ **Lead the design** , development, and deployment of scalable ML models and pipelines for high-impact business applications.
+ Architect ML systems using Vertex AI Pipelines, Kubeflow, Airflow, and manage infrastructure-as-code with Terraform/Helm.
+ Define and implement strategies for automated retraining, drift detection, and model lifecycle management.
+ Oversee CI/CD workflows for ML, ensuring reliability, reproducibility, and compliance.
+ Establish standards for model monitoring, observability, and alerting across accuracy, latency, and cost.
+ Drive integration of feature stores, vector databases, and knowledge graphs for advanced ML/RAG use cases.
+ Ensure security, compliance, and cost-efficiency across ML pipelines and infrastructure.
+ **Champion MLOps best practices** and lead initiatives for reproducibility, versioning, lineage tracking, and governance.
+ **Mentor and coach** senior/junior engineers, fostering a culture of technical excellence and innovation.
+ Stay ahead of **emerging ML technologies** and evaluate their applicability to UPS's ecosystem.
+ Collaborate with leadership, product managers, and domain experts to align ML initiatives with strategic goals.
+ Contribute to long-term ML platform architecture and roadmap planning.
**Required Qualifications:**
**Education**
Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related field (PhD preferred).
**Experience**
+ 8+ years of experience in machine learning engineering, MLOps, or large-scale AI/DS systems.
+ Proven track record of leading ML projects from conception to production.
+ **Deep expertise in Python** (scikit-learn, PyTorch, TensorFlow, XGBoost) and SQL.
+ Experience **architecting ML systems** in cloud environments (GCP Vertex AI, AWS SageMaker, Azure ML).
+ Strong background in **containerization** (Docker, Kubernetes), **orchestration** (Airflow, TFX, Kubeflow), and **infra-as-code** (Terraform/Helm).
+ Experience in **big data and streaming technologies** (Spark, Flink, Kafka, Hive, Hadoop).
+ Hands-on experience with model observability tools (Prometheus, Grafana, EvidentlyAI) and Governance platforms (WatsonX).
+ Strong understanding of ML algorithms, deep learning architectures, and statistical methods.
+ Demonstrated leadership in mentoring teams and influencing technical direction.
**Preferred Qualifications:**
+ Experience with real-time inference systems or low-latency streaming platforms.
+ Hands-on with enterprise ML platforms **(IBM WatsonX, GCP Vertex AI)** and feature stores.
+ Knowledge of model interpretability and fairness frameworks (SHAP, LIME, Fairlearn).
+ Expertise in data/model governance, lineage tracking, and compliance frameworks.
+ Contributions to open-source ML/MLOps libraries or active participation in ML communities.
+ Domain experience in logistics, supply chain, or large-scale consumer platforms.
Experience presenting technical solutions to executive stakeholders.
**Type de contrat:**
en CDI
_Chez UPS, égalité des chances, traitement équitable et environnement de travail inclusif sont des valeurs clefs auxquelles nous sommes attachés._

**Before you apply to a job, select your language preference from the options available at the top right of this page.**
Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow-people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level.
**Job Description:**
**About Machine Learning Engineering at UPS Technology:**
We're the obstacle overcomers, the problem get-arounders. From figuring it out to getting it done. our innovative culture demands "yes and how!" We are UPS. We are the United Problem Solvers.
Our Machine Learning Engineering teams use their expertise in data science, software engineering, and AI to build next-generation intelligent systems. These systems power our Smart Logistics Network, optimize UPS Airlines, and enhance Global Transportation Operations. We build scalable, production-grade ML solutions that move up to 38 million packages a day (4.7 billion annually), delivering measurable impact across the enterprise
**About this Role:**
We are seeking a visionary **Lead Machine Learning Engineer** to architect, guide, and deliver enterprise-grade ML solutions that drive strategic business outcomes. You will lead cross-functional teams, define technical direction, and ensure the robustness, scalability, and reliability of ML systems across the full lifecycle.
As a Lead MLE, you will play a pivotal role in shaping our ML platform strategy, mentoring senior engineers, and driving adoption of best practices in MLOps, model governance, and responsible AI. You'll collaborate with stakeholders across data science, engineering, and product to translate complex business challenges into intelligent systems.
**Key Responsibilities:**
+ **Lead the design** , development, and deployment of scalable ML models and pipelines for high-impact business applications.
+ Architect ML systems using Vertex AI Pipelines, Kubeflow, Airflow, and manage infrastructure-as-code with Terraform/Helm.
+ Define and implement strategies for automated retraining, drift detection, and model lifecycle management.
+ Oversee CI/CD workflows for ML, ensuring reliability, reproducibility, and compliance.
+ Establish standards for model monitoring, observability, and alerting across accuracy, latency, and cost.
+ Drive integration of feature stores, vector databases, and knowledge graphs for advanced ML/RAG use cases.
+ Ensure security, compliance, and cost-efficiency across ML pipelines and infrastructure.
+ **Champion MLOps best practices** and lead initiatives for reproducibility, versioning, lineage tracking, and governance.
+ **Mentor and coach** senior/junior engineers, fostering a culture of technical excellence and innovation.
+ Stay ahead of **emerging ML technologies** and evaluate their applicability to UPS's ecosystem.
+ Collaborate with leadership, product managers, and domain experts to align ML initiatives with strategic goals.
+ Contribute to long-term ML platform architecture and roadmap planning.
**Required Qualifications:**
**Education**
Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related field (PhD preferred).
**Experience**
+ 8+ years of experience in machine learning engineering, MLOps, or large-scale AI/DS systems.
+ Proven track record of leading ML projects from conception to production.
+ **Deep expertise in Python** (scikit-learn, PyTorch, TensorFlow, XGBoost) and SQL.
+ Experience **architecting ML systems** in cloud environments (GCP Vertex AI, AWS SageMaker, Azure ML).
+ Strong background in **containerization** (Docker, Kubernetes), **orchestration** (Airflow, TFX, Kubeflow), and **infra-as-code** (Terraform/Helm).
+ Experience in **big data and streaming technologies** (Spark, Flink, Kafka, Hive, Hadoop).
+ Hands-on experience with model observability tools (Prometheus, Grafana, EvidentlyAI) and Governance platforms (WatsonX).
+ Strong understanding of ML algorithms, deep learning architectures, and statistical methods.
+ Demonstrated leadership in mentoring teams and influencing technical direction.
**Preferred Qualifications:**
+ Experience with real-time inference systems or low-latency streaming platforms.
+ Hands-on with enterprise ML platforms **(IBM WatsonX, GCP Vertex AI)** and feature stores.
+ Knowledge of model interpretability and fairness frameworks (SHAP, LIME, Fairlearn).
+ Expertise in data/model governance, lineage tracking, and compliance frameworks.
+ Contributions to open-source ML/MLOps libraries or active participation in ML communities.
+ Domain experience in logistics, supply chain, or large-scale consumer platforms.
Experience presenting technical solutions to executive stakeholders.
**Employee Type:**
Permanent
UPS is committed to providing a workplace free of discrimination, harassment, and retaliation.

Comcast brings together the best in media and technology. We drive innovation to create the world's best entertainment and online experiences. As a Fortune 50 leader, we set the pace in a variety of innovative and fascinating businesses and create career opportunities across a wide range of locations and disciplines. We are at the forefront of change and move at an amazing pace, thanks to our remarkable people, who bring cutting-edge products and services to life for millions of customers every day. If you share in our passion for teamwork, our vision to revolutionize industries and our goal to lead the future in media and technology, we want you to fast-forward your career at Comcast.
**Job Summary**
Responsible for identifying complex problems and developing and deploying novel prototypes and algorithms to solve them. Improves accuracy and functionality of algorithms and understands the overall implications of the entire machine learning frameworks. Translates application requirements into problem statements. Analyzes and evaluates solutions both internally generated as well as third party supplied. Develops novel ways to solve problems and discover new products. Provide guidance and leadership to more junior researchers. Integrates knowledge of business and functional priorities. Acts as a key contributor in a complex and crucial environment. May lead teams or projects and shares expertise.
**Job Description**
COMCAST India
Summary:
Comcast's Technology & Product organization works at the intersection of media and technology. Our innovative teams are continually developing and delivering products that transform the customer experience. From creating apps like TVGo to new features such as the Talking Guide on the X1 platform, we work every day to make a positive impact through innovation in the pursuit of building amazing products that are enjoyable, easy to use and accessible across all platforms. The team also develops and supports our evolving network architecture, including next-generation consumer systems and technologies, infrastructure and engineering, network integration and management tools, and technical standards.
Website **-** Engineering 4** **- AI & AI Ops**
+ Full-time
+ Business Segment: GST
Job Description
+ Developed and designed platform leveraging AWS and Google Cloud services
+ 5- 8 year's experience in coding and developing in Golang, Python, R or another comparable language
+ 5 + years of experience developing code and perform pair programming reviewing using source code such as Github and Github actions
+ Hands-on- experience developing AI solutions, including working with LLMs, prompt engineering, and/or agent frameworks in collaboration with our ML/AI engineers
+ Knowledge of Rest of APIs and experience with low-code/no-code automation platforms
+ Creating and maintaining technical documentation, including design specifications, configuration, and deploymentand troubleshooting guides.
+ Experience maintaining architecture diagrams such as sequence diagrams; and software specification diagrams
+ Leading and bringing new design concepts to the portfolio and being and influencer in development strategies and techniques
+ Providing technical solutions and support to other IT teams and stakeholders on automation solutions and processes.
+ Troubleshooting and resolving issues related to IT operations automation solutions.
+ Staying up to date with latest software technologies in the marketnew technologies and designing your own engineering features that complement the platform.
Role Responsibilities
+ Lead the strategic development and implementation of the AI Ops platform and software development solutions.
+ Evaluating, identifying and developing software solutions in public and private cloud
+ Expert level experience leveraging AWS to build software and automated testing frameworks
+ Documenting and recording every aspect of an application or software
+ Training and overseeing the activities of the members of the development team
+ Planning, tracking and scheduling software deliverables in partnership with the program team.
+ Locating and directing solutions for critical challenges involving software and hardware interface
+ Develop continuous improvement techniques to identifyproblems within software systems and resolving the issues
+ Developing good working relationships with other employees, such as Managers, Product Owners, Programmers, Engineers and QA.
+ Extensive knowledge of the software development process and corresponding technologies
+ Excellent understanding of design patterns and architectural styles
+ Proficient knowledge of the operation and development designs of agile software
+ Strong soft skills, including attention to detail, problem-solving and communication skills
+ Ability to develop software in Golang, Python, or Java
+ Good understanding of enterprise service bus (ESB) platforms, graph databases, and extensive experience in AWS (MongoDB, Step Functions, SQS, Bedrock)
+ Continuously search for improvements in processes, enhancing software delivery and operational processes.
+ Migrated and decommissioned software into a core software implementation strategy
+ Experience with apis and GraphQL endpoints.
Qualifications
+ Bachelor's or master's degree in computer science, Information Technology, or a related field.
+ Experience with machine learning and artificial intelligence
+ Demonstrated success in leading the design and implementation of ITSM automation solutions, including AIOps and Event Management platforms.
+ AWS Certified
+ Proven ability to provide technical leadership, guidance, and mentorship to development teams.
+ Experience defining and managing automation projects with a focus on strategic goals.
+ Excellent collaboration skills with a track record of working effectively with cross-functional teams, IT leaders, and stakeholders.
+ Strong verbal and written communication skills to convey technical concepts to both technical and non-technical audiences.
+ Ability to troubleshoot and resolve complex technical issues.
+ Proven ability to create and maintain comprehensive technical documentation, including design specifications, configuration, and deployment guides.
+ Willingness to explore and incorporate new technologies into existing solutions.
+ Experience in constantly seeking improvements in processes to enhance software delivery and operational efficiency.
+ Track record of growing and managing diverse technical teams.
+ Demonstrated commitment to mentoring individuals to embrace diversity and contribute to building an inclusive and flexible workplace.
+ Committed to quality in every assignment, large or small.
+ Transparency, selflessness, and authenticity.
Compliance
Disclaimer The above information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications. Comcast is an EEO/AA/Drug Free Workplace. Comcast is an equal opportunity employer.
Comcast is an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law.
Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits to eligible employees. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That's why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality - to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the compensation and benefits summary ( on our careers site for more details.
**Education**
Bachelor's Degree
While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience.
**Relevant Work Experience**
7-10 Years
**Job Family Group:** Information Technology

Comcast brings together the best in media and technology. We drive innovation to create the world's best entertainment and online experiences. As a Fortune 50 leader, we set the pace in a variety of innovative and fascinating businesses and create career opportunities across a wide range of locations and disciplines. We are at the forefront of change and move at an amazing pace, thanks to our remarkable people, who bring cutting-edge products and services to life for millions of customers every day. If you share in our passion for teamwork, our vision to revolutionize industries and our goal to lead the future in media and technology, we want you to fast-forward your career at Comcast.
**Job Summary**
Responsible for developing and deploying machine learning algorithms. Evaluates accuracy and functionality of machine learning algorithms. Translates application requirements into machine learning problem statements. Analyzes and evaluates solutions both internally generated as well as third party supplied. Develops novel ways to use machine learning to solve problems and discover new products. Has in-depth experience, knowledge and skills in own discipline. Usually determines own work priorities. Acts as resource for colleagues with less experience.
**Job Description**
**Position Summary**
We are looking for a Machine Learning Engineer to join our team of ML practitioners and engineers passionate about solving high-impact personalization problems. This role is ideal for someone with a strong ML foundation, a love for clean, scalable code, and a desire to grow by owning and shipping production-ready models.
You will work with large-scale behavioural datasets, develop and evaluate recommendation and ranking models, and partner cross-functionally to deliver features that directly influence how millions of users interact with our platforms.
**Key Responsibilities**
+ Model Development: Design, train, and optimize ML models for personalized ranking, search relevance, and engagement metrics.
+ Data Analysis: Analyse large-scale behavioural/product datasets to guide model features and product strategies.
+ Production Integration: Collaborate with senior engineers to ship models into production with performance and reliability in mind.
+ Experimentation: Support A/B testing, fast iteration, and hypothesis-driven personalization improvements.
+ Collaboration: Work closely with data scientists, product managers, and designers to turn business goals into ML-driven solutions.
**Tech Stack: Machine Learning Engineer/Researcher**
**Programming Languages**
+ Python
**Machine Learning Frameworks**
+ PyTorch
+ TensorFlow
**Data Manipulation & Processing**
+ Pandas
+ Apache Spark
**ML Lifecycle & Workflow Tools**
+ MLflow
+ Apache Airflow
**Version Control**
+ Git
**Conceptual/Algorithm Knowledge**
+ Supervised and unsupervised learning
+ Generative models
+ Ranking algorithms
+ Basic statistics
**Others**
+ A/B Testing and Experimentation
+ Production integration and deployment of ML models
+ Cross-functional collaboration (Product, UX, Engineering)
Comcast is an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law.
Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits to eligible employees. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That's why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality - to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the compensation and benefits summary ( on our careers site for more details.
**Education**
Bachelor's Degree
While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience.
**Relevant Work Experience**
5-7 Years
**Job Family Group:** Information Technology