Mumbai Maharashtra Artificial intelligence data science Jobs – 148 Open Jobs Today

Lead Platform Engineer
Bain & Co. —Mumbai, Maharashtra
- Full-time
- Computer science
- Azure
- Computer Science
Quick apply
Digital Marketing Intern
Guru Nanak Institute of Management Studies —Matunga, Mumbai, Maharashtra
- ₹8,000 a month
- Microsoft Powerpoint
- Microsoft Excel
- Marketing
- Flexible schedule
Quick apply
8d
Client Executive
NetApp —Mumbai, Maharashtra
- Azure
- Computer Science
- Sales
- Paid time off
Solution Area Specialists - Manufacturing
Microsoft —Mumbai, Maharashtra
- Full-time
- Computer Science
- Sales
- Master's degree
Regional Distribution Manager
GlaxoSmithKline —Worli, Mumbai, Maharashtra
- Full-time
- Management
- Inventory control
- Customer service
6d
Senior Business Development Manager
Weekday —Mumbai, Maharashtra
- ₹8,00,000 - ₹40,00,000 a year
- Full-time
- Azure
- Computer Science
- Engineering
Quick apply
11d
MS Engineer, Unix
NTT Ltd —Mumbai, Maharashtra
- Full-time
- Computer Science
- Customer service
- Java
TS Implementation Engineer (L2) (NTT)
NTT Ltd —Mumbai, Maharashtra
- Full-time
- Computer Science
- Project management
- Communication skills
MS Engineer, Unix
NTT DATA —Mumbai, Maharashtra
- Full-time
- Computer Science
- Customer service
- Java
Senior Azure Cloud Engineer
Pristine Infotech —Mumbai, Maharashtra
- Email
- Azure
- Oracle
- Computer Science
Lead - Full-Stack (INAD)
Blue Altair —Mumbai, Maharashtra
- Computer Science
- DevOps
- Bachelor's degree
Quick apply
Sr. Analyst - Data Governance and Quality 4B
Genpact India Pvt. Ltd. —Mumbai, Maharashtra
- Full-time
- Hybrid work
- Azure
- Oracle
- Computer Science
Quick apply
2d
Specialist - S&P - Contract Management 4B
Genpact India Pvt. Ltd. —Mumbai, Maharashtra
- Full-time
- Hybrid work
- Oracle
- English
- Microsoft Office
Quick apply
3h

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Lead Platform Engineer

Bain & Co. -
Mumbai, Maharashtra

Quick apply

Job details

Full-time

Qualifications

CI/CD
Computer science
Azure
Computer Science
Software troubleshooting
Salt
Kubernetes
Ansible
DevOps
Git
Master's degree
OOP
AWS
Docker
Distributed systems
Terraform
Continuous integration
Splunk
New Relic
Software development
GitHub
APIs
Scalability
Agile
Puppet
Chef
AI
Jenkins
GitLab
Communication skills
Python
SDLC

Full job description

WHAT MAKES US A GREAT PLACE TO WORK

We are proud to be consistently recognized as one of the world’s best places to work. We are currently the top ranked consulting firm on Glassdoor’s Best Places to Work list and have earned the #1 overall spot a record seven times.

Extraordinary teams are at the heart of our business strategy, but these don’t happen by chance. They require intentional focus on bringing together a broad set of backgrounds, cultures, experiences, perspectives, and skills in a supportive and inclusive work environment. We hire people with exceptional talent and create an environment in which every individual can thrive professionally and personally.

WHO YOU’LL WORK WITH

Vector is Bain’s integrated digital and analytics capability, bringing together Enterprise Technology and AI, Insights & Solutions (AIS) to deliver cutting-edge innovation. AIS, formed through the merger of Bain's Advanced Analytics and Innovation & Design teams, is a diverse group of experts in analytics, engineering, product management, and design. Together, we create human-centric solutions that leverage the power of data and artificial intelligence to drive competitive advantage for our clients.

WHAT YOU’LL DO

As a Lead, Platform Engineering, you will design and build cloud-based distributed systems that solve complex business challenges for some of the world’s largest companies. You will draw on your deep software engineering, cloud engineering, and DevOps expertise to design and build technology stacks and platform components that enable cross-functional AI Engineering teams to create robust, observable, and scalable solutions.

Participate in code reviews and contribute to the establishment and enforcement of coding standards and best practices to ensure high-quality, maintainable code
Utilize Kubernetes and containerization technologies to deploy, manage, and scale analytics applications in cloud environments, ensuring optimal performance and availability.
Develop and maintain APIs and microservices to expose analytics functionality to internal and external consumers, adhering to best practices for API design and documentation
Implement robust security measures to protect sensitive data and ensure compliance with data privacy regulations and organizational policies.
Continuously monitor and troubleshoot application performance, identifying and resolving issues that impact system reliability, latency, and user experience.
Influence, educate and directly support the platform engineering capabilities of our clients
Stay current with emerging trends and technologies in cloud computing, data analysis, and software engineering, and proactively identify opportunities to enhance the capabilities of the analytics platform

ABOUT YOU

Required

6+ years minimum experience and 3+ years at Senior or Staff level, or equivalent
Master’s degree in Computer Science, Engineering, or a related technical field
Proven experience as a cloud engineer and software engineer within either product engineering or professional services organizations

Technical Skills and Knowledge:

Experience designing and delivering cloud-based distributed solutions GCP, AWS, or Azure certifications are a plus
Experience building infrastructure as code with tools such as Terraform (preferred), Cloud Formation, Pulumi, AWS CDK, CDKTF, etc.
Experience building backend APIs, services and/or integrations with Python
Deep familiarity with nuances of software development lifecycle
One or more configuration management tools: Ansible, Salt, Puppet, or Chef
One or more monitoring and analytics platforms: Grafana, Prometheus, Splunk, SumoLogic, NewRelic, DataDog, CloudWatch, Nagios/Icinga
CI/CD deployment pipelines (e.g. Github Actions, Jenkins, Travis CI, Gitlab CI, Circle CI)
Practitioner experience with Kubernetes through services like GKE, EKS or AKS is a benefit
Experience implementation of large-scale structured or unstructured databases, orchestration and container technologies such as Docker, Kubernetes or Terraform
Experience with workflow orchestration such as dbt, Beam, Airflow, Luigy, Metaflow, Kubeflow, or any other
Use Git as your main tool for versioning and collaborating
Exposure to LLMs, Prompt engineering, Langchain a plus
Strong knowledge in designing API interfaces
Strong computer science fundaments in data structures, algorithms, automated testing, object-oriented programming, performance complexity, and implications of computer architecture on software performance
Knowledge of data architecture, database schema design, database scalability
Knowledge of agile development methodologies and principles
Travel frequency and destinations will vary based on project needs.
Hybrid role

Interpersonal Skills:

Strong interpersonal and communication skills, including the ability to explain and discuss technicalities of solutions, algorithms and techniques with colleagues and clients from other disciplines
Curiosity, proactivity and critical thinking
Ability to collaborate with people at all levels and with multi-office/region teams

Quick apply

Refine Your Search

artificial intelligence data science jobs in mumbai maharashtra

Lead Platform Engineer

Digital Marketing Intern

Client Executive

Solution Area Specialists - Manufacturing

Regional Distribution Manager

Senior Business Development Manager

MS Engineer, Unix

TS Implementation Engineer (L2) (NTT)

MS Engineer, Unix

Senior Azure Cloud Engineer

Lead - Full-Stack (INAD)

Sr. Analyst - Data Governance and Quality 4B

Specialist - S&P - Contract Management 4B

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