Data Scientist / AI Solution Architect Job at Sigli

AI Solutions Architect

We are looking for a highly skilled AI Architect with deep expertise in Generati...

Location

India , Hyderabad

Salary:

Not provided

NStarX

Expiration Date

Until further notice

Requirements

Minimum 10 years of experience in ML/AI solution architecture
Deep expertise in Generative AI: LLMs, Vision/Video models, Digital Avatars, RAG systems, and multimodal architectures
Strong experience in ML engineering, data pipelines, and scalable model APIs
Hands-on experience with Nvidia GPU systems, CUDA stack, TensorRT, vLLM/Ollama, and model optimization
Experience building AI on edge devices (Intel, AMD, Qualcomm NPUs, AI PCs)
Proficiency in AWS and Azure cloud ecosystems, including GPU-based deployments
Strong knowledge of Python, ML frameworks (PyTorch, TensorFlow), model serving frameworks, and MLOps tools
Proven track record of architecting POC, MVP, and production-grade AI products
Strong architectural documentation and diagramming skills (Mermaid, Draw.io, Lucidchart, ArchiMate)
Excellent communication skills for client presentations and internal leadership discussions

Job Responsibility

Design and architect LLM-based systems using both open-source (Llama, Mistral, etc.) and proprietary (OpenAI, Azure OpenAI, Anthropic, etc.) models
Architect video-based AI systems, including Digital Human Avatars, Video Generation, Video-to-Text, and multimodal pipelines
Build end-to-end GenAI pipelines including data ingestion, preprocessing, retrieval, fine-tuning (LoRA, QLoRA, DAPT), evaluation, guardrailing, and deployment
Define and orchestrate data pipelines, ML workflows, vector search architecture, and embedding strategies
Build scalable, secure ML engineering wrappers around models (inference servers, orchestration layers, API microservices)
Oversee experimentation frameworks, evaluation methodologies, and MLOps integration
Architect AI solutions on AWS and Azure (preferred), including GPU clusters, model hosting, DevOps/MLOps, and autoscaling
Work with Nvidia GPU server stacks (DGX, H200, H100, L40S) and edge AI systems (Intel, AMD, Qualcomm AI PCs)
Optimize AI workloads across heterogeneous compute environments
Lead AI architecture across POC → MVP → GA → production-scale phases

What we offer

Competitive base + commission
Fast growth into leadership roles

Fulltime

Solution Architect for distributed AI Systems

In this role as Solution Architect, you will be at the forefront of our digital ...

Location

Poland , Warszawa

Salary:

Not provided

Robert Bosch Sp. z o.o.

Expiration Date

Until further notice

Requirements

7+ years of experience in a solution architecture or technical lead role, with a strong focus on artificial intelligence, workflow orchestration and cloud platforms
Proven experience in designing and deploying large-scale AI powered products, strong understanding of modern AI concepts, retrieval-augmented generation (RAG) and agentic workflows
Experience in a cloud-native environment (Azure/GCP/AWS), event-driven architectures and hands-on experience in usage of LLMs, vector databases and API/MCP integrations
Demonstrated ability in stakeholder-facing roles, articulating complex technical concepts to non-technical audiences, and driving the strategic vision for AI adoption
Fluent English and Polish

Job Responsibility

Playing a pivotal role in AI transformation initiatives and focusing on the integration of AI & Agentic capabilities
Being responsible for delivering end-to-end solutions, from conceptualization and strategic design to proof-of-concept development, deployment and ongoing performance optimization
Collaborating closely with cross-functional teams (including data scientists, engineers, product managers, and business leaders) to translate business requirements into robust, scalable, and ethical AI architectures
Introducing cutting-edge AI frameworks, agentic design patterns and best practices, while guiding the organization on the responsible adoption of emerging AI technologies

What we offer

Competitive salary + annual bonus
Hybrid work with flexible working hours
Referral Bonus Program
Professional support and possibility to share knowledge and best practices
Ongoing development opportunities in a multinational environment
Broad access to professional trainings (incl. language courses), conferences and webinars
Private medical care and life insurance
Cafeteria System with multiple benefits (incl. MultiSport, shopping vouchers, cinema tickets, etc.)
Prepaid Lunch Card
Number of benefits for families (for instance summer camps for kids)

Fulltime

Partner Solutions Architect

As a Partner Solutions Architect on the Applied AI team at Fireworks AI, you'll ...

Location

United States , New York; San Mateo

Salary:

Not provided

Fireworks AI

Expiration Date

Until further notice

Requirements

5+ years in technical customer/partner-facing roles (Solutions Architect, Sales Engineer, Forward Deployed Engineer, customer facing Data Scientist)
Proven ability to both build (write code, create demos, architect solutions) and evangelize (present, teach, build relationships)
Python skills and experience with cloud infrastructure (AWS, GCP, Azure)
Familiarity with LLM frameworks, ML tooling, or data science background
Track record partnering with cloud providers, SIs, or ISVs on complex technical projects
Exceptional communication skills across C-suite, engineering teams, and business stakeholders
Excitement for fast-paced environments where you balance competing priorities across engineering, partnerships, and sales

Job Responsibility

Serve as the technical authority and owner between Fireworks partnerships, product, engineering, and sales teams
Identify high value partners to develop relationships and build technical integrations with reference architectures
Embed with partner technical teams to enable their AI practices and evangelize Fireworks through their developer communities
Serve as escalation point for complex technical issues and unblock strategic customer deals
Build production-ready demos, reference architectures, and integrations with partner platforms
Develop joint solutions for high-value industry-specific GenAI applications
Codify best practices to accelerate partner and customer time-to-deployment and first-time-to-value
Present and demonstrate Fireworks capabilities at partner events, conferences, and technical workshops
Lead partner hands on workshops and developer enablement sessions
Drive technical engagement in partner slack channels and developer communities

What we offer

Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure
Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally
Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results
Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation

Fulltime

AI Architect

As an AI Architect, you'll delve into the core of AI, applying your skills acros...

Location

Belgium , Brussels

Salary:

Not provided

Sopra Steria

Expiration Date

Until further notice

Requirements

At least 7+ years of experience in AI and Data Science
Multiple examples where you coordinated a team in building end-to-end AI solutions
Experienced in developing (deep learning) models
Experience in securely and rapidly developing, training, evaluating, debugging, and deploying AI models in both practical and theoretical scenarios
Experience with modern computer vision tools for image classification, object detection, tracking, and segmentation
Expertise in working with LLMs (GPT, BERT, etc.) and are familiar with NLP and LLM evaluation metrics
Hands-on experience in the development of AI solutions in cloud environments like Microsoft AWS or azure
You approach problem-solving with an open-minded and constructive attitude
You have the drive to stay up to date with the fast-changing AI landscape
You're an excellent mentor who not only designs the architecture but also ensures our consultants implement it successfully

Job Responsibility

Translate business challenges into AI solutions, aligning them with market needs and inspiring both employees and companies
Lead project teams to implement these solutions, while considering legal, ethical, and moral boundaries
Collaborate with data scientists and AI experts to identify and pilot AI use cases, ensuring they reach production readiness
Align with business teams to convert leaders' visions into practical, feasible technical solutions
Gather input from stakeholders and develop processes and products that meet current and future needs
Define the AI architecture and choose technologies from open-source or commercial options
Select deployment models (cloud, on-premises, or hybrid) for seamless integration with existing data and analytics tools
Improve AI tools and practices, focusing on continuous improvement
Implement feedback mechanisms to assess and recalibrate models as needed
Serve as an AI expert, generating and sharing innovative ideas and insights with colleagues and customers through training and knowledge-sharing sessions

What we offer

A variety of perks, such as mobility options (including a company car), insurance coverage, meal vouchers, eco-cheques, and more
Continuous learning opportunities through the Sopra Steria Academy to support your career development
The opportunity to connect with fellow Sopra Steria colleagues at various team events

Fulltime

Data Scientist Specialist

We are seeking a highly experienced Data Scientist Specialist with deep expertis...

Location

United States , McLean

Salary:

Not provided

Apex Systems

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in AI, Data Science, Computer Science, or related field
Extensive experience in AI/ML, including 3+ years in applied GenAI or LLM-based solutions
Deep expertise in prompt engineering, fine-tuning, RAG, GraphRAG, vector databases, and multi-modal models
Proven experience with AWS cloud-native AI development (SageMaker, Bedrock, MLFlow/Kubeflow on EKS)
Strong programming skills in Python and ML/LLM libraries (Transformers, LangChain, etc.)
Strong understanding of GenAI system patterns, agentic architectures, evaluation frameworks, and guardrails
Demonstrated success working in cross-functional, agile teams
GitHub code repository link required for candidate evaluation

Job Responsibility

Architect and implement GenAI systems: Build scalable AI agents, agentic workflows, and GenAI applications for diverse business use cases
Model development & optimization: Fine-tune and optimize lightweight LLMs
evaluate and adapt models such as Claude (Anthropic), Azure OpenAI, and open-source alternatives
RAG & GraphRAG architectures: Design and deploy Retrieval-Augmented Generation (RAG) and GraphRAG systems using vector databases and enterprise knowledge bases
Enterprise data curation: Curate and prepare enterprise data using connectors integrated with AWS Bedrock Knowledge Bases and/or Elasticsearch
Agent interoperability: Implement solutions leveraging Model Context Protocol (MCP) and Agent-to-Agent (A2A) communication patterns
Experimentation & ML platforms: Build and maintain Jupyter-based notebooks using SageMaker, MLFlow, or Kubeflow on Kubernetes (EKS)
Cross-functional collaboration: Work with UI engineers, microservices teams, designers, and data engineers to deliver full-stack GenAI experiences
Enterprise integration: Integrate GenAI solutions with enterprise platforms via APIs and standardized GenAI architectural patterns
Evaluation & safety: Establish evaluation frameworks, bias mitigation strategies, safety protocols, and guardrails for production deployment

What we offer

medical
dental
vision
life
disability
other insurance plans
ESPP (employee stock purchase program)
401K program with company match after 12 months
HSA (Health Savings Account on the HDHP plan)
SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions

Lead Data Scientist

You will lead a small, high-impact ML squad embedded directly in client product ...

Location

Salary:

Not provided

LeverX

Expiration Date

Until further notice

Requirements

7+ years of experience in at least one ML field
2+ years of experience in a technical leadership role, e.g., Architect
2+ years of experience managing/supervising teams
Familiarity with Generative AI, time series forecasting, natural language processing, and computer vision
Ability to lead meetings, clarify requirements, and explain technical trade-offs confidently
English B2+

Job Responsibility

Lead and grow a small, high-performing team of data scientists
Collaborate with the customers and engineering teams to understand business needs and translate them into technical solutions
Participate in presale activities, providing technical insights and helping to shape project proposals
Maintain a hands-on approach when necessary, rolling up your sleeves and driving excellence through individual contributions while leading the team

What we offer

Projects in different domains: Healthcare, manufacturing, e-commerce, fintech, etc.
Projects for every taste: Startup products, enterprise solutions, research & development projects, and projects at the crossroads of SAP and the latest web technologies
Global clients based in Europe and the US, including Fortune 500 companies
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
Market-based compensation and regular performance reviews
Internal expert communities and courses
Perks to support your growth and well-being

AI Architect

The AI Architect is responsible for designing, developing, and integrating innov...

Location

Romania , Bucharest

Salary:

Not provided

Inetum

Expiration Date

Until further notice

Requirements

Master's degree or engineering diploma in Computer Science, Applied Mathematics, Artificial Intelligence, or related field
Minimum 7 years of experience in designing and deploying AI solutions in enterprise environments
Mastery of AI architectures (supervised, unsupervised models, neural networks, NLP, Computer Vision, etc.)
Expertise in leading AI tools and frameworks: TensorFlow, PyTorch, Scikit-learn, Keras, MLflow, etc.
Expertise in major LLM vendors: OpenAI, Google Gemini, Anthropic, Meta, Mistral AI, AWS Bedrock, DeepSeek, Cohere
Expertise in developing Collaborative/Swarm of AI Agents/Agentic AI system
Experience with cloud AI platforms: Azure ML, AWS SageMaker, Google AI Platform
Strong knowledge of MLOps practices, CI/CD, and model lifecycle management
Proficiency in Python, R, SQL, and collaborative development environments (Git, Docker, Kubernetes)
Deep understanding of security, compliance (NIS2, GDPR), and AI ethics

Job Responsibility

Design and document technical architectures for AI solutions (Machine Learning, Deep Learning, NLP, Computer Vision, LLM, AI Agents, etc.) considering security, scalability, costs and performance constraints
Define and drive the AI technology roadmap in collaboration with business, IT, and innovation teams
Select appropriate technologies, frameworks, and tools (TensorFlow, PyTorch, Azure ML, AWS SageMaker, Hugging Face, LangChain/Graph, N8n)
Ensure the coherence, robustness, and maintainability of deployed solutions
Participate in solutions development
Mentor and support teams of Data Scientists, Data Engineers, and AI developers
Conduct technology watch and evaluate new AI market trends
Lead the integration of AI solutions in cloud, hybrid, or on-premise environments
Implement best practices for data governance, MLOps, and model management
Ensure compliance with security standards, regulations (GDPR, NIS2), and AI ethics

What we offer

Full access to foreign language learning platform
Personalized access to tech learning platforms
Tailored workshops and trainings to sustain your growth
Medical subscription
Meal tickets
Monthly budget to allocate on flexible benefit platform
Access to 7 Card services
Wellbeing activities and gatherings

Fulltime

Principal AI Architect

We are seeking an experienced AI Architect to lead the design, implementation, a...

Location

India , Bengaluru

Salary:

Not provided

EvoluteIQ

Expiration Date

Until further notice

Requirements

12+ years of experience in data science, ML engineering and AI system architecture
Hands-on experience with Python, TensorFlow, PyTorch, Scikit-learn, spaCy and related AI/ML frameworks
Expertise in MLOps tools such as MLflow, Kubeflow, Vertex AI, or SageMaker
Proficiency in data processing technologies (Spark, Kafka, Airflow) and data modeling
Strong background in deploying models such as APIs or services using Docker, Kubernetes, and REST/gRPC
Experience designing data pipelines and integrating AI with production systems
Should have an understanding of prompt engineering, LLM fine-tuning, and vector stores (e.g. Pinecone, FAISS, Weaviate)
Knowledge of cloud AI services (AWS, GCP, Azure) and distributed computing architectures
Proven experience implementing observability for models (drift, accuracy, bias, and performance)

Job Responsibility

Architect and oversee AI/ML pipelines covering data collection, preparation, training, validation, and inference
Define and implement scalable AI infrastructure for training, deployment, and continuous integration (MLOps)
Collaborate with data scientists, ML engineers, product manager, and product teams to translate business problems into AI-driven solutions
Establish frameworks for model governance, versioning, reproducibility, and explainability
Integrate models into production systems ensuring low latency, scalability, and reliability
Define data strategy, storage, and access patterns to support AI workloads
Build solutions to monitor model performance, drift, and data quality, implementing continuous retraining strategies
Ensure compliance with ethical AI, data privacy, and security best practices
Mentor AI/ML engineers and contribute to architectural decisions across the AI platform stack

What we offer

Opportunity to shape the strategy of a next-gen hyper-automation platform
Work with a cross-disciplinary team in a fast-growing, innovation-driven environment
Competitive compensation and growth opportunities
A culture of innovation, ownership, and continuous learning

Fulltime

Data Scientist / AI Solution Architect

Sigli

Location:

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
January 20, 2026

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