Lead Solution Engineer Job at Mollie (Amsterdam)

Solution Engineer II (Ai/Ml Lead)

Job Description: Principal Accountabilities Collaborate with teams to translat...

Location

India , Noida

Salary:

Not provided

Arrow Electronics

Expiration Date

Until further notice

Requirements

B.Tech/M.Tech or Ph.D. in Computer Science, Electronics, or related engineering domain
Typically requires 8–12 years of equivalent work experience
3–5 years of experience in machine learning, deep learning, and computer vision
Proven track record of designing and deploying ML-based systems from concept to production
Academic publications in computer vision research at top conferences and journals
Excellent communication, problem-solving, and presentation skills.

Job Responsibility

Collaborate with teams to translate business requirements into technical specifications, system architecture, and ML pipelines
Drive end-to-end solution delivery — including data preparation, model development, optimization, validation, deployment, and continuous improvement
Provide technical guidance and mentorship to junior engineers and data scientists
review and refine their designs and code implementations
Develop reusable ML frameworks, model training workflows, and inference pipelines for rapid prototyping and deployment
Evaluate and integrate state-of-the-art AI/ML technologies to continuously improve model efficiency and system design
Respond to client RFQs and provide robust technical proposals and solution architectures
Partner cross-functionally with system engineers, embedded developers, and application teams for integrated AI system delivery
Mentor 2–5 member AI engineering team for full-cycle ML product development
Architect, implement, and optimize AI models for edge computing platforms ensuring high throughput, accuracy and low latency

Fulltime

Senior Lead Digital Innovation Engineer - Solution Architect

Buckman is a privately held, global specialty chemical company with headquarters...

Location

India , Chennai

Salary:

Not provided

Buckman overview

Expiration Date

Until further notice

Requirements

Minimum of 10 years in solution architecture with a strong focus on integrating complex systems and deploying scalable solutions
Solution Architecture and Design using Microsoft Stack with minimum of 5 years’ experience
Technical Management and Delivery of products with minimum of 5 years’ experience
Min 5 Years of experience in Integration with Azure IoT Hub, Functions, Cosmos DB, Service Bus Queue, Key Vault Stream Analytics, Web API, Azure Data Factory, SQL Azure, Azure AD
Min 10 Years experience in Dot Net Core, C# MVC, React JS, React native
Min 3 Years experience working on IOT Platforms (Design and Development)
Min 3 Years experience with Azure DevOps and Infrastructure
Min 5 Years experience with Relational/ Non -Relational Database (SQL/Cosmos DB)
Microsoft Certified Technical Architect (AZ 305 - Mandatory)
Experience with full stack SaaS development

Job Responsibility

Solution Integration: Design and integrate various solution components developed using Microsoft stack into a cohesive and scalable architecture
Strategic Planning: Develop and implement strategies for deploying solutions across various environments, ensuring scalability, reliability, and security
Development : Participate in all phases of the software development life cycle utilizing Agile Scrum methodology in the creation of new software products. Work hands-on with development team to prepare/review detailed Technical Design, do code reviews, ensure delivery as per committed estimates with high quality
Re-architecture : Conduct Design and code reviews for the developed modules and provide detailed analysis and propose improvements based on code maintainability, scalability, performance, and reliability
Technical Leadership: Provide technical guidance and mentorship to development teams, ensuring best practices in architecture, design, and deployment
Full Stack Coverage: Oversee the full technology stack, including frontend, backend, databases, and cloud infrastructure
Collaboration: Work closely with product owners, developers, and other stakeholders to understand requirements and deliver robust solutions
Documentation: Create and maintain comprehensive architectural documentation and deployment guides
Innovation: Stay updated with the latest trends and technologies in solution architecture, advocating for their adoption where appropriate
Quality Assurance: Ensure all solutions meet high standards of quality, performance, and security

Fulltime

Senior Lead Software Engineer, Full Stack (Solution Architect)

Do you love building and pioneering in the technology space? Do you enjoy solvin...

Location

United States , Plano; Richmond; New York; McLean

Salary:

209000.00 - 286200.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Bachelor’s Degree
At least 6 years of experience in software engineering
At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)

Job Responsibility

Lead solutions architecture design for multi-platform/cross-platform solutions
Leading trade-off and impact analysis work for hard to change technical decisions, and manage technical conflict
Demonstrate thought leadership and strategy in partnership with delivery and product partners
Provide architectural guardrails and white papers for onboarding new technologies, especially multi-agentic AI
Establish a 3+ year “Domain Destination Architecture” (DDA) for various business capabilities
Explain and represent solutions in the Architecture Review Boards, and various product, platform and architecture discussions
Presenting work products and strategies to product managers, technology leadership across Capital One
A primary architecture point of contact for other architecture teams & and delivery teams for solutions and systems
Continuously learn as technology needs evolve

What we offer

comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being
performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)

Fulltime

Senior Engineer / Lead Engineer - Virtual Engineering - AI ML

Sponsorship:  GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE....

Location

India , Bengaluru

Salary:

Not provided

General Motors

Expiration Date

Until further notice

Requirements

Bachelor's or Masters Degree Mechanical/Automobile/Production /Mechatronics Engineering discipline or similar
5+ years in Automotive Manufacturing / Manufacturing Engineering Experience
1+ year experience in implementing AI/ML solutions in Automotive use cases
Should have executed at least 2 end-to-end projects in the text or Image data domain (from problem definition to deployment)
Strong programming skills in Python
Proficiency with ML/DL frameworks like Scikit-learn, TensorFlow, PyTorch, XGBoost
Solid understanding of statistics, probability, and linear algebra
Experience in data preprocessing, feature engineering, ETL and Exploratory Data Analysis (EDA)
Experience with MLOps platforms (MLflow, Kubeflow, Vertex AI, Azure ML)
Knowledge of ML model evaluation

Job Responsibility

Collaborate with stakeholders to understand business problems in the in the Manufacturing Engineering and Operations space and solve them using ML methodologies
Design, develop, and fine-tune AI/ML models for classification, regression, clustering, and recommendation systems
Work with MLOps tools to automate workflows, CI/CD pipelines, and model monitoring
Evaluate, validate, and benchmark model performance using appropriate metrics
Deploy AI models into production environments in collaboration with IT/AI teams
Establish monitoring and maintenance processes to ensure model accuracy over time
Ensure that all AI solutions comply with organizational data security, confidentiality, and regulatory requirements
Document workflows, results, and lessons learned for organizational knowledge sharing
Stay updated on advancements in ML model evaluation, ML frameworks, end-to-end ML pipelines

Fulltime

Senior Engineer / Lead Engineer - Virtual Engineering - AI CAE

Senior Engineer / Lead Engineer – AI CAE will Drive AI innovation in CAE analysi...

Location

India , Bengaluru

Salary:

Not provided

General Motors

Expiration Date

Until further notice

Requirements

Bachelor's or Masters Degree Mechanical/Automobile/Production /Mechatronics Engineering discipline or similar.
5+ years experience in CAE at Automotive Product Development / Manufacturing Engineering.
3+ years' experience in implementing AI solutions in CAE
Should have executed at least 5+ years of Core CAE domain (from problem definition to deployment) experience.
Strong programming skills in Python, MATLAB, CAE tool-specific APIs (Altair suite, NASTRAN, ANSYS APDL, Abaqus etc.), workflow automation.
Experience with ML frameworks like Pytorch, TensorFlow.
Understanding of data annotation tools and MLOps workflows.
Experience in data handling and feature engineering.
Strong problem-solving and analytical mindset.
Experience in domain-specific AI use cases (manufacturing, automotive, etc.).

Job Responsibility

Collaborate with stakeholders to understand business problems in the CAE domain and translate them into AI solutions.
Design, develop, and fine-tune AI/ML models for Simulation result prediction and design optimization, Automating repetitive CAE tasks (meshing, boundary conditions, post-processing).
Evaluate, validate, and benchmark model performance using appropriate metrics.
Deploy AI models into production environments in collaboration with IT/AI teams.
Establish monitoring and maintenance processes to ensure model accuracy over time.
Ensure that all AI solutions comply with organizational data security, confidentiality, and regulatory requirements.
Document workflows, results, and lessons learned for organisational knowledge sharing.
Stay updated on advancements in neural networks, multi-physics simulations, surrogate modelling and physics-informed learning techniques.

Fulltime

Senior Engineer / Lead Engineer - Virtual Engineering - AI CFD

Senior Engineer / Lead Engineer – AI CFD will Drive AI innovation in CFD domain....

Location

India , Bengaluru

Salary:

Not provided

General Motors

Expiration Date

Until further notice

Requirements

Bachelor’s or Masters Degree Mechanical/Automobile/Production /Mechatronics Engineering discipline or similar
5+ years experience in CFD at Automotive Product Development / Manufacturing Engineering
2+ years experience in implementing AI solutions in CFD
Should have executed at least 5+ years of Core CFD domain (from problem definition to deployment) experience
Strong programming skills in Python and C++ for automation and solver integration
Experience with ML frameworks like Pytorch, TensorFlow
Knowledge of surrogate modeling, reduced-order modeling (ROMs), and regression techniques
Experience in data handling (large-scale CFD datasets) and feature engineering(feature extraction from flow fields like velocity, pressure, turbulence quantities)
Strong problem-solving and analytical mindset
Understanding of data annotation tools and MLOps workflows

Job Responsibility

Collaborate with stakeholders to understand business challenges in the CFD space and solve them using API based customization and AI methodologies
Collect, clean, annotate, and prepare datasets for text analysis and image comparison tasks
Design, develop, and fine-tune AI/ML models for: Automating mesh generation, solver setup, and post-processing of CFD results
Building optimization pipelines for thermal and fluid systems using AI-assisted approaches
Evaluate, validate, and benchmark model performance using appropriate metrics
Deploy AI models into production environments in collaboration with IT/AI teams
Establish monitoring and maintenance processes to ensure model accuracy over time
Ensure that all AI solutions comply with organizational data security, confidentiality, and regulatory requirements
Document workflows, results, and lessons learned for organizational knowledge sharing
Stay updated on advancements in neural networks, multi-physics simulations, surrogate modelling and physics-informed learning techniques

Fulltime

Lead GenAI Lead Engineer, Innovation Labs – SVP

We're on the hunt for a highly skilled and experienced senior engineer to lead t...

Location

United Kingdom , London

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Significant experience in the software industry
Proven experience in senior positions as principal engineer or architect
Experience with cloud architectures, and specific experience with public cloud offerings
Proficiency in programming languages such as Python
Experience as a people manager
Highly experienced in delivering complex solutions to production, preferably in Python and AI/ML ecosystem
Great passion and proven hands-on experience integrating with AI/ML technologies
Strong and diverse technical background
Ability to quickly learn and understand new technologies, influence highly skilled engineering teams and overall have a personal impact on technology decisions and vision
Excellent communication skills

Job Responsibility

Lead development of highly complex AI solutions, infrastructure, and architecture topics
Lead a team of engineers and data-scientists
Actively contribute to software development, both as a coder and as a reviewer
Manage executive stakeholder audience in technology by acting as a partner, trusted advisor and operating through influence
Work with internal and external partners to design, validate, and deliver solutions with a commercial benefit for Citi
Manage multiple concurrent initiatives and projects of varying sizes & complexity
Engage with data-science, technical and business stakeholders to define and design overall architecture for key use-cases across our lines of business
Work with external vendors and start-ups around joint initiatives and around exploration of new directions
Partner with Citi’s Risk and Governance partners to ensure best practice is followed from the perspectives of good governance, risk management, standardization, and tooling

What we offer

27 days annual leave (plus bank holidays)
A discretional annual performance related bonus
Private Medical Care & Life Insurance
Employee Assistance Program
Pension Plan
Paid Parental Leave
Special discounts for employees, family, and friends

Fulltime

Lead Backend Engineer – Python (Team Lead)

Lead Backend Engineer – Python (Team Lead) role at Xelix, working with world’s l...

Location

United Kingdom , London

Salary:

Not provided

Xelix

Expiration Date

Until further notice

Requirements

5+ years of professional development experience
Minimum of 2 years experience leading a development team of at least 3 people
Computer Science or similar technical degree
Strong understanding of the Python / Web development ecosystem
Familiarity with building RESTful APIs with Django Rest Framework (Flask experience acceptable)
Experience developing robust and scalable solutions in Python
Experience with relational databases (PostgreSQL on AWS)
Experience implementing performance improvement strategies
Strong Computer Science fundamentals

Job Responsibility

Support developers when they are stuck on a problem
Facilitate architectural decision making
Share knowledge to maintain DRY principles and ensure codebase consistency
Keep up to date with industry developments and bring new technology to the team
Mentoring, training and career planning for team members
Conducting monthly 1-1 sessions
Collaborating with the Product Team to prioritise and allocate tasks
Recruitment
Promote managerial best practice with team lead peers

What we offer

27 days of annual leave (including 3 days Christmas closing) with increases based on tenure
Option to roll over, buy or sell up to 3 days leave
Hybrid working with one day a week from dog-friendly Hoxton office
On-site gym
Cycle to work scheme
Employee discount at over 100 retailers
Comprehensive private medical & dental cover with Vitality
Enhanced parental leave pay
Learning & development culture – £1,000 personal annual budget
Carbon-neutral company working towards carbon reduction goals

Fulltime

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Lead Solution Engineer

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