Data engineer & mlops lead Job at Randstad (Bangalore)

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

Senior/Architect Data Engineer

We are seeking a highly skilled and experienced Senior/Architect Data Engineer t...

Location

Poland , Warsaw; Poznań; Lublin; Katowice; Rzeszów

Salary:

Not provided

Inetum

Expiration Date

Until further notice

Requirements

Proven experience architecting solutions on the Databricks Lakehouse using Unity Catalog, Delta Lake, MLflow, Model Serving, Feature Store, AutoML, and Databricks Workflows
Expertise in real-time/low latency model serving architectures with auto-scaling, confidence-based routing, and A/B testing
Strong knowledge of cloud security and governance on Azure or AWS, including Azure AD/AWS IAM, encryption, audit trails, and compliance frameworks
Hands-on MLOps skills across experiment tracking, model registry/versioning, drift monitoring, automated retraining, and production rollout strategies
Proficiency in Python and Databricks native tooling, with practical integration of REST APIs/SDKs and Databricks SQL in analytics products
Familiarity with React dashboards and human-in-the-loop operational workflows for ML and data quality validation
Demonstrated ability to optimize performance, reliability, and cost for large-scale analytics/ML platforms with strong observability
Experience leading multi-phase implementations with clear success metrics, risk management, documentation, and training/change management
Domain knowledge in telemetry, time series, or industrial data (aerospace a plus) and prior work with agentic patterns on Mosaic AI
Databricks certifications and experience in enterprise deployments of the platform are preferred

Job Responsibility

Lead the design and implementation of a Databricks-centric multi-agent processing engine
Design governed data ingestion, storage, and real-time processing workflows using Delta Lake, Structured Streaming, and Databricks Workflows
Own the model lifecycle with MLflow, including experiment tracking, registry/versioning, A/B testing, drift monitoring, and automated retraining pipelines
Architect low latency model serving endpoints with auto-scaling and confidence-based routing for sub-second agent decisioning
Establish robust data governance practices with Unity Catalog, including access control, audit trails, data quality, and compliance
Drive performance and cost optimization strategies, including auto-scaling, spot usage, and observability dashboards
Define production release strategies (blue-green), monitoring and alerting mechanisms, operational runbooks, and Service Level Objectives (SLOs)
Partner with engineering, MLOps, and product teams to deliver human-in-the-loop workflows and dashboards
Lead change management, training, and knowledge transfer while managing a parallel shadow processing path
Plan and coordinate phased delivery, success metrics, and risk mitigation

What we offer

Flexible working hours
Hybrid work model
Cafeteria system
Generous referral bonuses (up to PLN6,000)
Additional revenue sharing opportunities
Ongoing guidance from dedicated Team Manager
Tailored technical mentoring from assigned technical leader
Dedicated team-building budget for online and on-site team events
Opportunities to participate in charitable initiatives and local sports programs
Supportive and inclusive work culture

Fulltime

Principal Data Engineer

Our Principal Data Engineers are responsible for leading and delivering strategi...

Location

United Kingdom , Bristol; London; Manchester; Swansea

Salary:

100000.00 - 115000.00 GBP / Year

Made Tech

Expiration Date

Until further notice

Requirements

Understanding of the issues and challenges that the public sector faces in delivering services that make the best use of data and digital capabilities, transforming legacy infrastructure, and taking an innovative and user-centric approach
Ability to innovate and take learnings from the commercial sector, other countries and advances in technology and apply them to UK Public Sector challenges to create tangible solutions for our clients
Experience building trusted advisor relationships with senior client stakeholders within the public sector.
Experience of building and leading high performing, consulting teams and creating the leveraged engagements to provide a cost-effective, profitable, successful client-facing delivery
Leadership of bids and solution shaping to produce compelling proposals that help Made Tech win new business and grow the industry
Experience of managing third-party partnerships and suppliers (in conjunction with Made Tech colleagues) to provide a consolidated and seamless delivery team to clients.
Experience in delivering complex and difficult engagements that span multiple capabilities for user-facing digital and data services in the public sector
Experience in identifying opportunities based on client needs and developing targeted solutions to progress the development of the opportunity
Experience of working with sales professionals and commercial responsibility for strategic organisational goals.
Experience working directly with customers and users within a technology consultancy

Job Responsibility

Collaborate with clients to understand their needs, provide solution advice in your role as a trusted advisor and shape solutions that leverage Made Tech's wider capabilities and credentials
Assess project performance as a part of the billable delivery team, Quality Assure (QA) the deliverables and outcomes, and ensure client satisfaction. Coach and mentor team members as well as providing direction to enable them to achieve their engagement outcomes and to develop their careers
Act as a Technical Authority of the Data & AI capability to provide oversight and ensure alignment with internal and industry best practices. Ensure engagement experience is captured and used to improve standards and contribute to Made Tech knowledge
Participate in business development activities, including bids and pre-sales within the account, industry and practice. Coach team members on their contributions and oversee the relevant technical aspects of the proposal submission
Undertake people management responsibilities, including performance reviews and professional development of your engagement and practice colleagues
Serve as a thought leader within Made Tech, our account engagements and the wider public sector and represent the company at industry events

What we offer

30 days of paid annual leave + bank holidays
Flexible Parental Leave
Remote Working
Paid counselling as well as financial and legal advice
Flexible benefit platform which includes a Smart Tech scheme, Cycle to work scheme, and an individual benefits allowance which you can invest in a Health care cash plan or Pension plan
Optional social and wellbeing calendar of events

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

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

AIML Lead Engineer

We build breakthrough software products that power digital businesses. We are an...

Location

India , Bangalore

Salary:

Not provided

3Pillar Global

Expiration Date

Until further notice

Requirements

8+ years of total IT experience
at least 4+ years in AI/ML development
Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-Learn)
Experience with NLP libraries such as spaCy, Hugging Face Transformers, etc.
Solid understanding of AI/ML algorithms, data preprocessing, and model evaluation techniques
Hands-on experience with Generative AI, LLMs, and Agentic AI
Working knowledge of MLOps tools and CI/CD pipelines for AI model deployment
Familiarity with computer vision frameworks (OpenCV, etc.)
Excellent problem-solving and communication skills
Ability to lead and mentor junior engineers

Job Responsibility

Lead the design and implementation of AI/ML models and solutions for complex business problems
Work on NLP, LLMs, and Generative AI to build intelligent systems and conversational agents
Develop and optimize models using Python, TensorFlow, PyTorch, and Scikit-Learn
Apply deep learning and transformer-based architectures (e.g., BERT, GPT, etc.) for NLP and vision tasks
Implement computer vision solutions using OpenCV and related tools
Collaborate with cross-functional teams to integrate AI models into production systems
Apply MLOps best practices and manage CI/CD pipelines for model deployment
Stay updated with the latest AI research, LLM, and Agentic AI trends, and drive innovation across teams

Fulltime

Senior AI Data Engineer

We are looking for a Senior AI Data Engineer to join an exciting project for our...

Location

Poland , Warsaw

Salary:

Not provided

Inetum

Expiration Date

Until further notice

Requirements

Degree in Computer Science, Data Science, Artificial Intelligence, or a related field
Several years of experience in AI and Machine Learning development, preferably in Customer Care solutions
Strong proficiency in Python and NLP frameworks
Hands-on experience with Azure AI services (e.g., Azure Machine Learning, Cognitive Services, Bot Services)
Solid understanding of cloud architectures and microservices on Azure
Experience with CI/CD pipelines and MLOps
Excellent leadership and communication skills
Analytical mindset with strong problem-solving abilities
Polish and English at a minimum B2 level.

Job Responsibility

Lead the development and implementation of AI-powered features for a Customer Care platform
Design and deploy Machine Learning and NLP models to automate customer inquiries
Collaborate with DevOps and cloud architects to ensure a high-performance, scalable, and secure Azure-based architecture
Optimize AI models to enhance customer experience
Integrate Conversational AI, chatbots, and language models into the platform
Evaluate emerging technologies and best practices in Artificial Intelligence
Mentor and guide a team of AI/ML developers.

What we offer

Flexible working hours
Hybrid work model, allowing employees to divide their time between home and modern offices in key Polish cities
A cafeteria system that allows employees to personalize benefits by choosing from a variety of options
Generous referral bonuses, offering up to PLN6,000 for referring specialists
Additional revenue sharing opportunities for initiating partnerships with new clients
Ongoing guidance from a dedicated Team Manager for each employee
Tailored technical mentoring from an assigned technical leader, depending on individual expertise and project needs
Dedicated team-building budget for online and on-site team events
Opportunities to participate in charitable initiatives and local sports programs
A supportive and inclusive work culture with an emphasis on diversity and mutual respect.

Fulltime

Lead Software Engineer

Prism Data is building the future of credit scoring with modern technology and d...

Location

United States , NYC or San Diego (La Jolla/UTC)

Salary:

160000.00 - 195000.00 USD / Year

Prism Data

Expiration Date

Until further notice

Requirements

Software engineering experience, ideally in a high-growth or early stage startup
Strong expertise in modern software practices and technologies, with ability to quickly adapt to Prism’s services stack
Deep hands-on experience with Python, Kubernetes, and AWS, with specific experience supporting machine-learning models from prototyping through production operations
Proactive bias-to-solve technical problems and navigate complex design decisions
Excellent communication skills with the ability to bridge gaps between technical teams and non-technical stakeholders

Job Responsibility

Contribute to Prism’s engineering culture by regularly mentoring other engineers and facilitating knowledge sharing, learning, and continuous improvement
Advance an architectural runway to support product extensibility and scalability while balancing sustainability
Architect and lead the enhancement of production ML-serving infrastructure, including continuous advancement of MLOps capabilities
Design, build, and operate enterprise-grade APIs and other platform services, and lead strategic co-development opportunities with key partners and data providers
Drive technical direction across platform and model-serving layers, ensuring observability, security, and performance at scale
Partner cross-functionally with product, legal, and go-to-market teams to cohesively develop new capabilities that expand cash flow analytics use cases

What we offer

medical
dental
vision
401(k)
equity-based compensation

Fulltime

Data engineer & mlops lead

Randstad

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 17, 2026

Expiration:
March 20, 2026

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