gurgaon haryana senior software engineer – python & cloud Jobs – 138 Open Jobs Today

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Engineer II, Software Development
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Data Analyst

Adidas -
Gurugram, Haryana

Apply Now

Job details

Full-time

Qualifications

TensorFlow
CI/CD
Data modeling
Computer Science
Big data
Data structures
Spark
English
Research
Master's degree
AWS
Quality assurance
Bachelor's degree
Machine learning
Continuous integration
Natural language processing
Kafka
Data science
Keras
Demand planning
Communication skills
Python
Software architecture

Full job description

DATA ANALYST - MACHINE LEARNING ENGINEER

PURPOSE & OVERALL RELEVANCE FOR THE ORGANIZATION

A Machine Learning Engineer is a specialist who applies its expertise in end-to-end Model Development Lifecycle (MDLC), artificial intelligence and engineering - software, DevOps, data, cloud, and platform; to improve and productionize state of the art machine learning models. They can pivot between data centric (data engineering) or model centric (data science) approaches to enhance predictive model performance and apply various software engineering techniques to deploy and scale models.

SPON

ILITI

MACHINE LEARNING ENGINEERING

Assist components for Data platform for distributed data processing pipelines and scalable feature stores including data health monitoring and alerts.
Support components for ML platform to enable distributed model training and evaluations, including model observability and model performance monitoring
Help end to end Machine Learning Pipeline (i.e MLOps)
Provide support to data scientists and data engineers to productionize data pipelines and machine learning models, so that various business requirements can be implemented and scaled
Assist in generating last mile data readiness (for example embeddings) for the Data Scientists so that they can quick move towards value generation i.e. by directly applying models on curated features

ANA

LYTI

Support in application of range of machine-learning techniques in consultation with data scientists and domain experts to enhance models, performance and responsible AI constraints
Contributes to selection, acquisition, and integration of features (AI focused data components) for analysis.
Provide support in applying unsupervised ML techniques (like clustering) to data for unknown pattern identification and to run precursory analysis for supervised ML tasks.

MANAGEMENT, MODELLING AND DESIGN

Assist in Application of exploratory data analysis (EDA), data design, data modelling and quality assurance techniques to establish, modify or maintain highly curated features for the task of AI engineering
Assists in all of the data engineering needs or assists data engineering towards the goal of project delivery
Facilitates implementation physical database & data warehouse designs to support feature availability for MDLC
Assists in providing accessibility, retrievability, security and protection of data in an ethical manner.

MMIN

SOFTW

DEVELOPME

Assist in designs, codes, verifies, tests, documents, amends and refactors moderately complex programs/scripts.
Support development and supports deployment of feature engineering and model training/inferencing code with CI/CD practices in mind
Assists the builds cloud/on-prem native MDLC templates to orchestrate and channelize development processes for various engineering teams engaged in MDLC
Facilitates the cross applies model development/deployment in distributed processing and big data paradigms to cover for data volume, velocity, and variety constraints

DATA VISUALIZATION AND STORYTELLING

Provide support in application of variety visualization techniques and designs the content and appearance of data visuals for storytelling and EDA
Supports in operationalization and automation of activities for efficient and timely production of data visuals via operationalized dashboards and reports.
Provide support in communicating results of unsupervised learning techniques (like clustering) to identify and communicate unknown patterns in data

STI

Assist in reviews requirements and specifications and defines test conditions.
Provide help in designing test cases and test scripts under own direction, mapping back to pre-determined criteria, recording and reporting outcomes.
Supports the analyses and reports test activities and results.
Provides help on Identification and reports issues and risks associated with own work.
Supports in development of embeds unit, integration and regression test cases within CI/CD processes driving MDLC

REL

SHI

Global IT
Respective business function (GOPS, Finance, HR, Brand Marketing, Wholesale/Retail)
Digital
Controlling
HR (Senior) Management

REQUISITE EDUCATION AND EXPERIENCE / MINIMUM QUALIFICATIONS:

EDUCATION & PROFESSIONAL EXPERIENCE

Bachelors Degree in Computer Science, Mathematics or similar field; Master’s degree is a plus
4+ years’ hands-on experience as a Machine Learning Engineer or similar role, experience with financial or demand planning data is a plus
Additional internship experience at college preferred but not mandatory

HARD SKILLS

Understanding of data structures, data modeling and software architecture
Experience with production level MLOps - feature engineering, distributed model training, serving & inference, etc.
Big Data technologies: Apache Kafka, Apache Spark, AWS EMR; Databricks, mlops, exposure to GenAI
Passionate and ability to write robust code in Python
Familiarity with machine learning frameworks (like Keras or PyTorch) and ML libraries (like scikit-learn)
Experience with machine learning algorithms, tools (e.g., AWS Sagemaker, TensorFlow), and natural language processing.

SOFT SKILLS

Impeccable and to-the-point written and oral communication skills (English)
High resilience and solution-oriented attitude
Ability to apply fresh academic ideas/research paper to real world Data Science problem

AT ADIDAS WE HAVE A WINNING CULTURE. BUT TO WIN, PHYSICAL POWER IS NOT ENOUGH. JUST LIKE ATHLETES OUR EMPLOYEES NEED MENTAL STRENGTH IN THEIR GAME. WE FOSTER THE ATHLETE’S MINDSET THROUGH A SET OF BEHAVIORS THAT WE WANT TO ENABLE AND DEVELOP IN OUR PEOPLE AND THAT ARE AT THE CORE OF OUR UNIQUE COMPANY CULTURE: THIS IS HOW WE WIN WHILE PLAYING FAIR.

COURAGE: Speak up when you see an opportunity; step up when you see a need..

OWNERSHIP: Pick up the ball. Be proactive, take responsibility and follow-through.

INNOVATION: Elevate to win. Be curious, test and learn new and better ways of doing things.

TEAMPLAY: Win together. Work collaboratively and cultivate a shared mindset.

INTEGRITY: Play by the rules. Hold yourself and others accountable to our company’s standards.

RESPECT: Value all players. Display empathy, be inclusive and show dignity to all.

AT ADIDAS, WE STRONGLY BELIEVE THAT EMBEDDING DIVERSITY, EQUITY, AND INCLUSION (DEI) INTO OUR CULTURE AND TALENT PROCESSES GIVES OUR EMPLOYEES A SENSE OF BELONGING AND OUR BRAND A REAL COMPETITIVE ADVANTAGE.

– CULTURE STARTS WITH PEOPLE, IT STARTS WITH YOU –

BY RECRUITING TALENT AND DEVELOPING OUR PEOPLE TO REFLECT THE RICH DIVERSITY OF OUR CONSUMERS AND COMMUNITIES, WE FOSTER A CULTURE OF INCLUSION THAT ENGAGES OUR EMPLOYEES AND AUTHENTICALLY CONNECTS OUR BRAND WITH OUR CONSUMERS.

JOB TITLE:

Data Analyst

BRAND:

LOCATION:

Gurgaon

TEAM:

Data

STATE:

COUNTRY/REGION:

CONTRACT TYPE:

Full time

NUMBER:

541880

DATE:

Mar 10, 2026

Apply Now

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senior software engineer – python & cloud jobs in gurgaon haryana

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