Engineering Manager (Data Science & AI) Job at JFrog (Bangalore)

Data Science Engineer

The Applications Development Intermediate Programmer Analyst is an intermediate ...

Location

India , Chennai; Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

4+ years of relevant experience in the Financial Service industry
Intermediate level experience in Applications Development role
Consistently demonstrates clear and concise written and verbal communication
Demonstrated problem-solving and decision-making skills
Ability to work under pressure and manage deadlines or unexpected changes in expectations or requirements
Bachelor’s degree/University degree or equivalent experience
Experience in ML libraries such as PyTorch, TensorFlow, Pandas, NumPy
Strong experience in Python, Spark, SQL, Hive, Impala, Hadoop, Autosys
Data Analysis and Data Wrangling skills when dealing with Huge Volume(1B+ Transaction)
Performance analysis, troubleshooting and resolution including Cloudera Big Data(PySpark) ecosystem

Job Responsibility

Utilize knowledge of applications development procedures and concepts
Identify and define necessary system enhancements
Analyze and interpret code
Contribute to applications systems analysis and programming activities
Work in a distributed global team environment

Fulltime

Sr. Director, Product Management for Data & AI, Security and HSI

The Sr. Director of Product Management will lead the strategy and execution of T...

Location

United States , Bellevue

Salary:

207700.00 - 280900.00 USD / Year

T-Mobile

Expiration Date

Until further notice

Requirements

More than 10 years Product Management experience in an agile software product development environment preferably in a large consumer organization with millions of consumer applications and an advanced level understanding of superior customer experiences
5+ years of experience in AI, data science, and analytics
Expertise in LLMs and Generative AI field
Experience leading digital applications and successfully launching Data & AI products in the market at large scale
Background working with Engineering and a strong understanding of the role of engineering in product development
10+ years of experience in leading strategy, innovation, and data products
Advanced knowledge of data tools, techniques, and manipulation including cloud platforms, programming languages, and technology platforms
5+ years leading and developing teams of 5 or more Manager level direct reports with skip-level employees
Bachelor's Degree in Computer Science, Engineering, IT or equivalent
Demonstrated experience driving enterprise data, analytics, and insights solutions and other technologies

Job Responsibility

Develop the data products that empower digital customer experiences to be contextual and personal, revamping and redesigning journeys using the new AI experiences
Define the overall strategy for how to build and deliver the best experience to our existing users and grow the strategic areas in the T-Life Super App and T-Shop on web
Build a Data & AI and Security platform for all Magenta users including Postpaid, Prepaid, TFB Micro and HSI
reusing the platform for Metro users to build the same capabilities in the new MyMetro App
Enable all the core HSI (High Speed Internet) consumer experiences into one single platform available across Magenta and Metro brands
Oversee Security Products for ScamSheild, P360, device diagnostics, VPN, credit monitoring etc. in T-Life to ensure that we can fully fill our promise of “Peace of mind” in the T-Life app
Develop and maintain strategic partnerships with senior internal and/or external customers
Creates, plans, and owns a portfolio of high-quality products & services through a lifecycle of envisioning/investing/innovating
Champion and communicate information and AI product value and other key performance indicators to partners and team members
Develop change management and communication plans and execute connected with customer change initiatives

What we offer

medical, dental and vision insurance
a flexible spending account
401(k)
employee stock grants
employee stock purchase plan
paid time off
up to 12 paid holidays
paid parental and family leave
family building benefits
back-up care

Fulltime

Manager, Data Science

The Manager, Data Science role at T-Mobile involves managing data science initia...

Location

United States , Overland Park

Salary:

133800.00 - 241400.00 USD / Year

T-Mobile

Expiration Date

Until further notice

Requirements

Bachelor’s Degree required in Math, Statistics, Econometrics, Data Science, Analytics, Operations Research, Behavioral Science, or another analytical/quantitative field
Master’s Degree preferred in similar fields
4+ years of experience in implementing data science-driven solutions
2+ years of management experience or leading/coaching a data science team
4+ years of experience with data querying, wrangling, cleaning, and feature engineering
4+ years of experience with Python, Databricks, R, and other predictive modeling tools
4+ years of experience working with relational databases using SQL
4+ years of experience building and deploying data mining, visualization, statistical models, AI, and machine learning solutions
Mathematics: Calculus, linear algebra, statistics, and probability
Programming expertise in Python and SQL

Job Responsibility

Lead the development of major data science initiatives from problem framing to deployment and performance measurement
Hire, develop, manage, and retain a team of data scientists
Collaborate with cross-functional teams to solve business problems using data science techniques
Continuously improve data science operations to optimize efficiency and create scalable solutions.

What we offer

Medical, dental, and vision insurance
Flexible spending account
401(k) plan
Employee stock grants and employee stock purchase plan
Paid time off and paid holidays
Paid parental and family leave
Family building benefits
Back-up care and childcare subsidy
Tuition assistance and college coaching
Short- and long-term disability insurance

Fulltime

Manager, Data Science - Fiber Acquisition

The Manager, Data Science - Fiber Acquisition is a pivotal role that drives inno...

Location

United States , Bellevue; Denver; Overland Park; Frisco

Salary:

133800.00 - 241400.00 USD / Year

T-Mobile

Expiration Date

Until further notice

Requirements

4+ years of experience implementing data science-driven solutions and explaining complex machine learning and analytical concepts, presenting data insights and recommendations to diverse audiences and multiple levels of leadership
2 years of management experience or leading/mentoring a data science team
4+ years of experience with data querying, wrangling, cleaning, and feature engineering, working with common relational and non-relational databases in big data environments such as AWS, Azure, and Google Cloud
4+ years of experience using Python, R, and other predictive modeling and machine learning tools in big data environments
4+ years of experience working with relational databases using SQL
4+ years of experience building and deploying data mining, visualization, statistical models, AI, and machine learning solutions using various supervised/unsupervised ML algorithms
2+ years of experience in the telecom industry.

Job Responsibility

Collaborates with FP&A, Pricing, Analytics, and field partners to drive towards growth objectives across both marketing and promotions
Conducts region-level insights gathering to develop a playbook of initiatives to drive growth across each of the regions as an iterative and at a regular, recurring cadence
Lead the development of major data science initiatives from problem framing, data collection, model development, insights generation and presentation, deployment, and performance measurement
Hire, develop, manage, and retain a team of data scientists with diverse skills and experience levels
Collaborate with cross-functional teams to identify and solve business problems using data science techniques
Continuously improve data science operations to optimize efficiency, create scalable solutions, and build a world-class data science team
Perform other duties/projects as assigned by business management as needed.

What we offer

Medical, dental and vision insurance
Flexible spending account
401(k)
Employee stock grants
Employee stock purchase plan
Paid time off
Up to 12 paid holidays
Paid parental and family leave
Family building benefits
Back-up care

Fulltime

Senior Manager, Data Engineering

You will build a team of talented engineers that will work cross functionally to...

Location

United States , San Jose

Salary:

240840.00 - 307600.00 USD / Year

Archer Aviation

Expiration Date

Until further notice

Requirements

6+ years of experience in a similar role, 2 of which are in a data leadership role
B.S. in a quantitative discipline such as Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or a related field
Expertise with data engineering disciplines including data warehousing, database management, ETL processes, and ML model deployment
Experience with processing and storing telemetry data
Demonstrated experience with data governance standards and practices
3+ years leading teams, including building and recruiting data engineering teams supporting diverse stakeholders
Experience with cloud-based data platforms such as AWS, GCP, or Azure

Job Responsibility

Lead and continue to build a world-class team of engineers by providing technical guidance and mentorship
Design and implement scalable data infrastructure to ingest, process, store, and access multiple data supporting flight test, manufacturing and supply chain, and airline operations
Take ownership of data infrastructure to enable a highly scalable and cost-effective solution serving the needs of various business units
Build and support the development of novel tools to enable insight and decision making with teams across the organization
Evolve data engineering and AI strategy to align with the short and long term priorities of the organization
Help to establish a strong culture of data that is used throughout the company and industry
Lead initiatives to integrate AI capabilities in new and existing tools

Fulltime

Data Science Manager

Integrated within the Data science department, you will jointly intervene on R&D...

Location

France , Paris

Salary:

Not provided

Artelys

Expiration Date

Until further notice

Requirements

Holder of a top engineering school, a higher education institution, or/and a Ph.D. in applied statistics
At least 3 years of experience in designing, implementing, and deploying advanced Data Science methods in a company or as part of a thesis
At least 2 years of project or team management experience in Data Science
Skills in Python and/or R development
Motivated by project management and the responsibility of leading a team, managing a budget, and meeting deadlines
Can reconcile the client’s business vision, the Data Scientist’s technical vision, and the company’s economic vision
Autonomous, rigorous, and have a strong sense of listening and interpersonal skills

Job Responsibility

Lead project teams of 2 to 3 Data Scientists and/or Data Engineers and actively contribute to the realization of certain Data Science and AI missions requiring your expertise in certain technical domains
Evaluate the risks that may occur during implementation and set up project structures and management tools (dashboards, indicators, committee organization) to cover them
Define the needs in terms of human resources and technical skills necessary to meet deadlines, respect costs, and deliver a solution that meets client needs
Understand client data challenges (business, strategic) and take charge of pre-sales by bringing your expertise and relying on the sales teams
Mentor junior consultants in developing their skills by capitalizing on your experiences

What we offer

Up to 2 days of remote work per week possible
Flexible working hours
Offices located in the city center of each city where we are located

Fulltime

Principal Consulting AI / Data Engineer

As a Principal Consulting AI / Data Engineer, you will design, build, and optimi...

Location

Australia , Sydney

Salary:

Not provided

DyFlex Solutions

Expiration Date

Until further notice

Requirements

Proven expertise in delivering enterprise-grade data engineering and AI solutions in production environments
Strong proficiency in Python and SQL, plus experience with Spark, Airflow, dbt, Kafka, or Flink
Experience with cloud platforms (AWS, Azure, or GCP) and Databricks
Ability to confidently communicate and present at C-suite level, simplifying technical concepts into business impact
Track record of engaging senior executives and influencing strategic decisions
Strong consulting and stakeholder management skills with client-facing experience
Background in MLOps, ML pipelines, or AI solution delivery highly regarded
Degree in Computer Science, Engineering, Data Science, Mathematics, or a related field

Job Responsibility

Design, build, and maintain scalable data and AI solutions using Databricks, cloud platforms, and modern frameworks
Lead solution architecture discussions with clients, ensuring alignment of technical delivery with business strategy
Present to and influence executive-level stakeholders, including boards, C-suite, and senior directors
Translate highly technical solutions into clear business value propositions for non-technical audiences
Mentor and guide teams of engineers and consultants to deliver high-quality solutions
Champion best practices across data engineering, MLOps, and cloud delivery
Build DyFlex’s reputation as a trusted partner in Data & AI through thought leadership and client advocacy

What we offer

Work with SAP’s latest technologies on cloud as S/4HANA, BTP and Joule, plus Databricks, ML/AI tools and cloud platforms
A flexible and supportive work environment including work from home
Competitive remuneration and benefits including novated lease, birthday leave, salary packaging, wellbeing programme, additional purchased leave, and company-provided laptop
Comprehensive training budget and paid certifications (Databricks, SAP, cloud platforms)
Structured career advancement pathways with opportunities to lead large-scale client programs
Exposure to diverse industries and client environments, including executive-level engagement

Fulltime

Consulting AI / Data Engineer

As a Consulting AI / Data Engineer, you will design, build, and optimise enterpr...

Location

Australia , Sydney

Salary:

Not provided

DyFlex Solutions

Expiration Date

Until further notice

Requirements

Hands-on data engineering experience in production environments
Strong proficiency in Python and SQL
Experience with at least one additional language (e.g. Java, Typescript/Javascript)
Experience with modern frameworks such as Apache Spark, Airflow, dbt, Kafka, or Flink
Background in building ML pipelines, MLOps practices, or feature stores is highly valued
Proven expertise in relational databases, data modelling, and query optimisation
Demonstrated ability to solve complex technical problems independently
Excellent communication skills with ability to engage clients and stakeholders
Degree in Computer Science, Engineering, Data Science, Mathematics, or a related field

Job Responsibility

Build and maintain scalable data pipelines for ingesting, transforming, and delivering data
Manage and optimise databases, warehouses, and cloud storage solutions
Implement data quality frameworks and testing processes to ensure reliable systems
Design and deliver cloud-based solutions (AWS, Azure, or GCP)
Take technical ownership of project components and lead small development teams
Engage directly with clients, translating business requirements into technical solutions
Champion best practices including version control, CI/CD, and infrastructure as code

What we offer

Work with SAP’s latest technologies on cloud as S/4HANA, BTP and Joule, plus Databricks, ML/AI tools and cloud platforms
A flexible and supportive work environment including work from home
Competitive remuneration and benefits including novated lease, birthday leave, remote working, additional purchased leave, and company-provided laptop
Competitive remuneration and benefits including novated lease, birthday leave, salary packaging, wellbeing programme, additional purchased leave, and company-provided laptop
Comprehensive training budget and paid certifications (Databricks, SAP, cloud platforms)
Structured career advancement pathways with mentoring from senior engineers
Exposure to diverse industries and client environments

Fulltime

Engineering Manager (Data Science & AI)

JFrog

Location:
India , Bangalore

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
February 01, 2026

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