AI/ML & Data Engineer Job at Congruent (Chennai)

Software Engineer (Data Engineering)

We are seeking a Software Engineer (Data Engineering) who can seamlessly integra...

Location

India , Hyderabad

Salary:

Not provided

NStarX

Expiration Date

Until further notice

Requirements

4+ years in Data Engineering and AI/ML roles
Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field
Python, SQL, Bash, PySpark, Spark SQL, boto3, pandas
Apache Spark on EMR (driver/executor model, sizing, dynamic allocation)
Amazon S3 (Parquet) with lifecycle management to Glacier
AWS Glue Catalog and Crawlers
AWS Step Functions, AWS Lambda, Amazon EventBridge
CloudWatch Logs and Metrics, Kinesis Data Firehose (or Kafka/MSK)
Amazon Redshift and Redshift Spectrum
IAM (least privilege), Secrets Manager, SSM

Job Responsibility

Design, build, and maintain scalable ETL and ELT pipelines for large-scale data processing
Develop and optimize data architectures supporting analytics and ML workflows
Ensure data integrity, security, and compliance with organizational and industry standards
Collaborate with DevOps teams to deploy and monitor data pipelines in production environments
Build predictive and prescriptive models leveraging AI and ML techniques
Develop and deploy machine learning and deep learning models using TensorFlow, PyTorch, or Scikit-learn
Perform feature engineering, statistical analysis, and data preprocessing
Continuously monitor and optimize models for accuracy and scalability
Integrate AI-driven insights into business processes and strategies
Serve as the technical liaison between NStarX and client teams

What we offer

Competitive salary and performance-based incentives
Opportunity to work on cutting-edge AI and ML projects
Exposure to global clients and international project delivery
Continuous learning and professional development opportunities
Competitive base + commission
Fast growth into leadership roles

Fulltime

Senior Data & AI/ML Engineer - GCP Specialization Lead

We are on a bold mission to create the best software services offering in the wo...

Location

United States , Menlo Park

Salary:

Not provided

techjays

Expiration Date

Until further notice

Requirements

GCP Services: BigQuery, Dataflow, Pub/Sub, Vertex AI
ML Engineering: End-to-end ML pipelines using Vertex AI / Kubeflow
Programming: Python & SQL
MLOps: CI/CD for ML, Model deployment & monitoring
Infrastructure-as-Code: Terraform
Data Engineering: ETL/ELT, real-time & batch pipelines
AI/ML Tools: TensorFlow, scikit-learn, XGBoost
Min Experience: 10+ Years

Job Responsibility

Design and implement data architectures for real-time and batch pipelines, leveraging GCP services such as BigQuery, Dataflow, Dataproc, Pub/Sub, Vertex AI, and Cloud Storage
Lead the development of ML pipelines, from feature engineering to model training and deployment using Vertex AI, AI Platform, and Kubeflow Pipelines
Collaborate with data scientists to operationalize ML models and support MLOps practices using Cloud Functions, CI/CD, and Model Registry
Define and implement data governance, lineage, monitoring, and quality frameworks
Build and document GCP-native solutions and architectures that can be used for case studies and specialization submissions
Lead client-facing PoCs or MVPs to showcase AI/ML capabilities using GCP
Contribute to building repeatable solution accelerators in Data & AI/ML
Work with the leadership team to align with Google Cloud Partner Program metrics
Mentor engineers and data scientists toward achieving GCP certifications, especially in Data Engineering and Machine Learning
Organize and lead internal GCP AI/ML enablement sessions

What we offer

Best in class packages
Paid holidays and flexible paid time away
Casual dress code & flexible working environment
Medical Insurance covering self & family up to 4 lakhs per person

Software Engineer - Data Scientist AI/ML

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way...

Location

India , Bangalore

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

BS/MS in Computer Science or Data Science, Electrical Engineering, Statistics, Applied Math or equivalent fields with strong mathematical background
General understanding of machine learning techniques and algorithms, including clustering, anomaly detection, optimization, Neural network, Graph ML, etc
Experience building data science-driven solutions including data collection, feature selection, model training, post-deployment validation
Strong hands-on coding skills (preferably in Python) processing large-scale data set and developing machine learning models
Familiar with one or more machine learning or statistical modeling tools such as Numpy, ScikitLearn, MLlib, Tensorflow
Works well in a team setting and is self-driven

Job Responsibility

Collaborate with team to understand feature, work with domain experts to identify relevant “signals” during feature engineering, deliver generic and performant ML solutions
Keep up to date with newest technology trends
Communicate results and ideas to key decision makers
Implement new statistical or other mathematical methodologies as needed for specific models or analysis
Optimize joint development efforts through appropriate database use and project design

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Fulltime

Senior Data Engineer

Adtalem is a data driven organization. The Data Engineering team builds data sol...

Location

United States , Lisle

Salary:

84835.61 - 149076.17 USD / Year

Adtalem Global Education

Expiration Date

Until further notice

Requirements

Bachelor's Degree Computer Science, Computer Engineering, Software Engineering, or other related technical field.
Master's Degree Computer Science, Computer Engineering, Software Engineering, or other related technical field.
Two (2) plus years experience in Google cloud with services like BigQuery, Composer, GCS, DataStream, Dataflows, BQML, Vertex AI.
Six (6) plus years experience in data engineering solutions such as data platforms, ingestion, data management, or publication/analytics.
Hands-on experience working with real-time, unstructured, and synthetic data.
Experience in Real Time Data ingestion using GCP PubSub, Kafka, Spark or similar.
Expert knowledge on Python programming and SQL.
Experience with cloud platforms (AWS, GCP, Azure) and their data services
Experience working with Airflow as workflow management tools and build operators to connect, extract and ingest data as needed.
Familiarity with synthetic data generation and unstructured data processing

Job Responsibility

Architect, develop, and optimize scalable data pipelines handling real-time, unstructured, and synthetic datasets
Collaborate with cross-functional teams, including data scientists, analysts, and product owners, to deliver innovative data solutions that drive business growth.
Design, develop, deploy and support high performance data pipelines both inbound and outbound.
Model data platform by applying the business logic and building objects in the semantic layer of the data platform.
Leverage streaming technologies and cloud platforms to enable real-time data processing and analytics
Optimize data pipelines for performance, scalability, and reliability.
Implement CI/CD pipelines to ensure continuous deployment and delivery of our data products.
Ensure quality of critical data elements, prepare data quality remediation plans and collaborate with business and system owners to fix the quality issues at its root.
Document the design and support strategy of the data pipelines
Capture, store and socialize data lineage and operational metadata

What we offer

Health, dental, vision, life and disability insurance
401k Retirement Program + 6% employer match
Participation in Adtalem’s Flexible Time Off (FTO) Policy
12 Paid Holidays
Eligible to participate in an annual incentive program

Fulltime

Software Engineer, Data Infrastructure

The Data Infrastructure team at Figma builds and operates the foundational platf...

Location

United States , San Francisco; New York

Salary:

149000.00 - 350000.00 USD / Year

Figma

Expiration Date

Until further notice

Requirements

5+ years of Software Engineering experience, specifically in backend or infrastructure engineering
Experience designing and building distributed data infrastructure at scale
Strong expertise in batch and streaming data processing technologies such as Spark, Flink, Kafka, or Airflow/Dagster
A proven track record of impact-driven problem-solving in a fast-paced environment
A strong sense of engineering excellence, with a focus on high-quality, reliable, and performant systems
Excellent technical communication skills, with experience working across both technical and non-technical counterparts
Experience mentoring and supporting engineers, fostering a culture of learning and technical excellence

Job Responsibility

Design and build large-scale distributed data systems that power analytics, AI/ML, and business intelligence
Develop batch and streaming solutions to ensure data is reliable, efficient, and scalable across the company
Manage data ingestion, movement, and processing through core platforms like Snowflake, our ML Datalake, and real-time streaming systems
Improve data reliability, consistency, and performance, ensuring high-quality data for engineering, research, and business stakeholders
Collaborate with AI researchers, data scientists, product engineers, and business teams to understand data needs and build scalable solutions
Drive technical decisions and best practices for data ingestion, orchestration, processing, and storage

What we offer

equity
health, dental & vision
retirement with company contribution
parental leave & reproductive or family planning support
mental health & wellness benefits
generous PTO
company recharge days
a learning & development stipend
a work from home stipend
cell phone reimbursement

Fulltime

Sap Btp Data Engineer

At LeverX, we have had the privilege of working on over 950 SAP projects, includ...

Location

Salary:

Not provided

LeverX

Expiration Date

Until further notice

Requirements

2+ years of experience designing and developing SAP data solutions within SAP and non-SAP enterprise landscapes
Strong knowledge of data modeling in Data Warehouses
Strong knowledge of the visualization patterns, approaches, and techniques in SAP and non-SAP landscapes
Understanding of Data Engineering solutions within the SAP BDC landscape, such as SAP Databricks
Proven experience in data transformation and integration with SAP ERP, S/4HANA, and equivalent external systems
Good understanding of SAP data integration techniques (SDI, SDA, APIs, ODP) and protocols (OData, REST, JDBC)
Bachelor’s degree in Computer Science, Information Systems, or equivalent
English B2+

Job Responsibility

Design, develop, and deploy enterprise data solutions on SAP BTP, integrating SAP and non-SAP systems
Analyze and resolve complex data and integration challenges, ensuring reliable and scalable solutions
Collaborate with data architects, functional analysts, and business stakeholders to translate requirements into data models, dashboards, and analytics
Lead small project teams (2–3 members) and contribute to cross-regional collaboration for consistent delivery
Facilitate client enablement through workshops, webinars, and hands-on sessions
Continuously grow expertise by staying current with SAP data and analytics technologies (e.g., SAP Business Data Cloud, AI/ML) and pursuing relevant certifications

What we offer

89% of projects use the newest SAP technologies and frameworks
Expert communities and internal courses
Valuable perks to support your growth and well-being
Employment security: We hire for our team, not just a specific project. If your project ends, we will find you a new one
Healthy work atmosphere: On average, our employees stay in the company for 4+ years

Technical Lead – AI/ML & Data Platforms

We are seeking a Technical Lead with strong managerial capabilities to drive the...

Location

United States , Sunnyvale

Salary:

Not provided

Thirdeye Data

Expiration Date

Until further notice

Requirements

Strong expertise in data pipelines, architecture, and analytics platforms (e.g., Snowflake, Tableau)
Experience reviewing and optimizing data transformations, aggregations, and business logic
Hands-on familiarity with LLMs and practical RAG implementations
Knowledge of AI/ML workflows, model lifecycle management, and experimentation frameworks
Proven experience in managing complex, multi-track projects
Skilled in project tracking and collaboration tools (Jira, Confluence, or equivalent)
Excellent communication and coordination skills with technical and non-technical stakeholders
Experience working with cross-functional, globally distributed teams

Job Responsibility

Coordinate multiple workstreams simultaneously, ensuring timely delivery and adherence to quality standards
Facilitate daily stand-ups and syncs across global time zones, maintaining visibility and accountability
Understand business domains and technical architecture to enable informed decisions and proactive risk management
Collaborate with data engineers, AI/ML scientists, analysts, and product teams to translate business goals into actionable plans
Track project progress using Agile or hybrid methodologies, escalate blockers, and resolve dependencies
Own task lifecycle — from planning through execution, delivery, and retrospectives
Perform technical reviews of data pipelines, ETL processes, and architecture, identifying quality or design gaps
Evaluate and optimize data aggregation logic while ensuring alignment with business semantics
Contribute to the design and development of RAG pipelines and workflows involving LLMs
Create and maintain Tableau dashboards and reports aligned with business KPIs for stakeholders

Fulltime

Senior ML Data Engineer

As a Senior Data Engineer, you will play a pivotal role in our AI/ML workstream,...

Location

Poland , Warsaw

Salary:

Not provided

Awin Global

Expiration Date

Until further notice

Requirements

Bachelor or Master’s degree in data science, data engineering, Computer Science with focus on math and statistics / Master’s degree is preferred
At least 5 years experience as AI/ML data engineer undertaking above task and accountabilities
Strong foundation in computer science principes and statistical methods
Strong experience with cloud technology (AWS or Azure)
Strong experience with creation of data ingestion pipeline and ET process
Strong knowledge of big data tool such as Spark, Databricks and Python
Strong understanding of common machine learning techniques and frameworks (e.g. mlflow)
Strong knowledge of Natural language processing (NPL) concepts
Strong knowledge of scrum practices and agile mindset
Strong Analytical and Problem-Solving Skills with attention to data quality and accuracy

Job Responsibility

Design and maintain scalable data pipelines and storage systems for both agentic and traditional ML workloads
Productionise LLM- and agent-based workflows, ensuring reliability, observability, and performance
Build and maintain feature stores, vector/embedding stores, and core data assets for ML
Develop and manage end-to-end traditional ML pipelines: data prep, training, validation, deployment, and monitoring
Implement data quality checks, drift detection, and automated retraining processes
Optimise cost, latency, and performance across all AI/ML infrastructure
Collaborate with data scientists and engineers to deliver production-ready ML and AI systems
Ensure AI/ML systems meet governance, security, and compliance requirements
Mentor teams and drive innovation across both agentic and classical ML engineering practices
Participate in team meetings and contribute to project planning and strategy discussions

What we offer

Flexi-Week and Work-Life Balance: We prioritise your mental health and well-being, offering you a flexible four-day Flexi-Week at full pay and with no reduction to your annual holiday allowance. We also offer a variety of different paid special leaves as well as volunteer days
Remote Working Allowance: You will receive a monthly allowance to cover part of your running costs. In addition, we will support you in setting up your remote workspace appropriately
Pension: Awin offers access to an additional pension insurance to all employees in Germany
Flexi-Office: We offer an international culture and flexibility through our Flexi-Office and hybrid/remote work possibilities to work across Awin regions
Development: We’ve built our extensive training suite Awin Academy to cover a wide range of skills that nurture you professionally and personally, with trainings conveniently packaged together to support your overall development
Appreciation: Thank and reward colleagues by sending them a voucher through our peer-to-peer program

AI/ML & Data Engineer

Congruent

Location:
India , Chennai

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
January 01, 2026

Looking for more opportunities? Search for other job offers that match your skills and interests.

Similar Jobs for AI/ML & Data Engineer

Software Engineer (Data Engineering)

Senior Data & AI/ML Engineer - GCP Specialization Lead

Software Engineer - Data Scientist AI/ML

Senior Data Engineer

Software Engineer, Data Infrastructure

Sap Btp Data Engineer

Technical Lead – AI/ML & Data Platforms

Senior ML Data Engineer

AI/ML & Data Engineer

Congruent

Location:India , Chennai

Category:IT - Software Development

Contract Type:Not provided

Salary:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:January 01, 2026

Looking for more opportunities? Search for other job offers that match your skills and interests.

Similar Jobs for AI/ML & Data Engineer

Software Engineer (Data Engineering)

Senior Data & AI/ML Engineer - GCP Specialization Lead

Software Engineer - Data Scientist AI/ML

Senior Data Engineer

Software Engineer, Data Infrastructure

Sap Btp Data Engineer

Technical Lead – AI/ML & Data Platforms

Senior ML Data Engineer

Location:
India , Chennai

Category:
IT - Software Development

Contract Type:
Not provided

Job Posted:
January 01, 2026