AI Solution Engineer Job at Wissen (Bangalore South)

AI Solutions Engineer

AI Solutions Engineer for Arize AI, the leading AI & Agent Engineering observabi...

Location

United States

Salary:

125000.00 - 175000.00 USD / Year

Arize

Expiration Date

Until further notice

Requirements

Previous experience working as a Data Scientist, Machine Learning Engineer, or as an Engineer working with ML models or GenAI applications in production
Comfortable working in public Cloud environments (AWS, Azure, GCP)
Knowledge of machine learning frameworks such as TensorFlow, PyTorch or Scikit-learn
Knowledge of LLM / Agentic frameworks such as Llamaindex, LangGraph, and DSPy
Understanding of ML/DS concepts, model evaluation strategies and lifecycle (feature generation, model training, model deployment, batch and real time scoring via REST APIs) and engineering considerations
Understanding of GenAI concepts and application evaluation + development lifecycle
Proficiency in a programming language (Python, JS/TS, Java, Go, etc)
Strong Communication Skills - Ability to simplify complex, technical concepts
A quick and self learner - undaunted by technical complexity of production ML deployments and welcome the challenge to learn about them and develop your own POV

Job Responsibility

Work closely with some of the most sophisticated ML / GenAI teams in the world
Act as a trusted advisor to our customers, while also building relationships with technical and business stakeholders
Advise on GenAI and ML best practices
Give ML and LLM product demos to technical and business stakeholders
Run strategic business reviews for customers in partnership with our sales team
Interface with our pre-sales engineering team to gather client goals and KPI’s
Partner with our product and engineering teams to help drive the product roadmap
Spearhead new opportunities within existing accounts to help drive expansions

What we offer

competitive equity package
comprehensive benefit package, including: medical, dental, vision, 401(k) plan, unlimited paid time off, generous parental leave plan, and others for mental and wellness support
WFH monthly stipend to pay for co-working spaces

Fulltime

AI Solutions Engineer

To design and deliver compelling AI-powered experiences for customers — includin...

Location

South Africa , Cape Town

Salary:

Not provided

Sabio Group

Expiration Date

Until further notice

Requirements

Strong proficiency in Python and hands-on experience with generative AI tools and frameworks
Experience in designing customer-centric AI experiences, including conversational interfaces and intelligent automation
Proven ability to develop business cases and ROI models for AI initiatives
Skilled in cross-functional collaboration, especially with sales and product teams
Excellent data storytelling skills, with the ability to communicate complex insights clearly and persuasively
Awareness of ethical AI practices and a commitment to responsible innovation

Job Responsibility

Build and present engaging AI demos and prototypes that showcase the value of generative AI in customer experience
Collaborate with sales and product teams to co-create tailored AI solutions aligned with client needs and strategic goals
Use internal tooling and frameworks to rapidly develop proof-of-concepts that accelerate customer decision-making
Support business development efforts by contributing to ROI modelling and business case creation
Translate data insights into compelling stories that resonate with both technical and non-technical stakeholders
Ensure ethical AI principles are embedded in all customer-facing solutions and engagements
Stay current with emerging generative AI technologies and contribute to internal capability building

What we offer

Remote/Flexible work
Discovery Medical Aid
Connectivity Allowance
15 days paid holiday a year- (this includes three Sabio days)
Momentum EAP

Fulltime

AI Solutions Engineer

To design and deliver compelling AI-powered experiences for customers — includin...

Location

South Africa , Cape Town

Salary:

Not provided

Sabio Group

Expiration Date

Until further notice

Requirements

Strong proficiency in Python and hands-on experience with generative AI tools and frameworks
Experience in designing customer-centric AI experiences, including conversational interfaces and intelligent automation
Proven ability to develop business cases and ROI models for AI initiatives
Skilled in cross-functional collaboration, especially with sales and product teams
Excellent data storytelling skills, with the ability to communicate complex insights clearly and persuasively
Awareness of ethical AI practices and a commitment to responsible innovation

Job Responsibility

Build and present engaging AI demos and prototypes that showcase the value of generative AI in customer experience
Collaborate with sales and product teams to co-create tailored AI solutions aligned with client needs and strategic goals
Use internal tooling and frameworks to rapidly develop proof-of-concepts that accelerate customer decision-making
Support business development efforts by contributing to ROI modelling and business case creation
Translate data insights into compelling stories that resonate with both technical and non-technical stakeholders
Ensure ethical AI principles are embedded in all customer-facing solutions and engagements
Stay current with emerging generative AI technologies and contribute to internal capability building

What we offer

Remote/Flexible work
Discovery Medical Aid
Connectivity Allowance
15 days paid holiday a year- (this includes three Sabio days)
Momentum EAP

Fulltime

Applied AI Engineer - AI Solutions

As an Applied AI Engineer, you’ll research and utilize state-of-the-art Gen AI a...

Location

United States , Redwood City; San Francisco

Salary:

172000.00 - 300000.00 USD / Year

Snorkel AI

Expiration Date

Until further notice

Requirements

B.S. degree in a quantitative field such as Computer Science, Engineering, Mathematics, Statistics, or comparable degree/experience
3+ years of customer-facing experience in the design and implementation of AI/ML solutions
Proficiency in Python, including strong grounding in software engineering fundamentals (e.g., modular design, testing, profiling, packaging) and experience with modern Python constructs and libraries for type validation and typed data modeling (e.g., pydantic), building type-safe systems (e.g., mypy), testing (e.g., pytest), packaging and environment configuration (e.g., poetry), API and service frameworks (e.g., FastAPI), serialization and structured data handling (e.g., msgspec), and orchestration tooling relevant to ML deployment (e.g., Ray, Airflow)
Expertise across the Applied AI stack, spanning classical ML libraries (e.g., scikit-learn), deep learning frameworks (e.g., PyTorch), foundation-model ecosystems (e.g., Hugging Face Transformers), vector/embedding tooling (e.g., FAISS), data processing frameworks (e.g., pandas, Spark), retrieval/RAG tooling (e.g., Chroma, Weaviate), synthetic dataset curation, evaluation workflows, and LLM orchestration, workflow, agent authoring tools (e.g., LlamaIndex, LangGraph, CrewAI)
Experience leading strategic, customer-facing initiatives and collaborating with business stakeholders to ensure ML solutions drive successful business outcomes, with a strong focus on teaching and enablement
Outstanding presentation skills to technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos
Ability to work in a fast-paced environment and balance priorities across multiple projects at once

Job Responsibility

Partner with customers to build and deploy impactful Gen AI and machine learning solutions, from use case scoping and data exploration to model development and deployment. This may involve leveraging Snorkel Flow or designing custom approaches using state-of-the-art tools, with the goal of delivering real business value and informing the evolution of the Snorkel platform
Develop and implement state of the art AI systems such as retrieval-augmented generation (RAG), fine-tuning pipelines, prompt engineering recipes and agentic workflows
Create augmented real-world datasets and comprehensive evaluation workflows to ensure model reliability, transparency, and stakeholder trust. A data- and evaluation-first mindset is essential for success in this role
Forge and manage relationships with our customers’ leadership and stakeholders to ensure successful development and deployment of AI projects with Snorkel Flow
Collaborate closely with pre-sales Solutions and Product teams to map customer needs to existing capabilities, prioritize roadmap gaps, and guide successful project setup
Work with other Applied AI Engineers to standardize solutions and contribute to internal tooling and best practices
Lead stakeholder education on quantitative capabilities, helping them to understand the strengths and weaknesses of different approaches and what problems are best-suited for Snorkel AI
Serve as the voice of our customers for new AI paradigms, data science workflows, and share customer feedback to product teams
Conduct one-to-few and one-to-many enablement workshops to transfer knowledge to customers considering or already using Snorkel AI
Annual travel up to 25%

What we offer

equity in the form of employee stock options

Fulltime

AI Solutions Engineer

AI Solutions Engineer for Arize AI, the leading AI & Agent Engineering observabi...

Location

United States , Raleigh

Salary:

125000.00 - 175000.00 USD / Year

Arize

Expiration Date

Until further notice

Requirements

Previous experience working as a Data Scientist, Machine Learning Engineer, or as an Engineer working with ML models or GenAI applications in production
Comfortable working in public Cloud environments (AWS, Azure, GCP)
Knowledge of machine learning frameworks such as TensorFlow, PyTorch or Scikit-learn
Knowledge of LLM / Agentic frameworks such as Llamaindex, LangGraph, and DSPy
Understanding of ML/DS concepts, model evaluation strategies and lifecycle (feature generation, model training, model deployment, batch and real time scoring via REST APIs) and engineering considerations
Understanding of GenAI concepts and application evaluation + development lifecycle
Proficiency in a programming language (Python, JS/TS, Java, Go, etc)
Strong Communication Skills - Ability to simplify complex, technical concepts
A quick and self learner - undaunted by technical complexity of production ML deployments and welcome the challenge to learn about them and develop your own POV

Job Responsibility

Work closely with some of the most sophisticated ML / GenAI teams in the world
Act as a trusted advisor to our customers, while also building relationships with technical and business stakeholders
Advise on GenAI and ML best practices
Give ML and LLM product demos to technical and business stakeholders
Run strategic business reviews for customers in partnership with our sales team
Interface with our pre-sales engineering team to gather client goals and KPI’s
Partner with our product and engineering teams to help drive the product roadmap
Spearhead new opportunities within existing accounts to help drive expansions

What we offer

competitive equity package
comprehensive benefit package, including: medical, dental, vision, 401(k) plan, unlimited paid time off, generous parental leave plan, and others for mental and wellness support
WFH monthly stipend to pay for co-working spaces

Fulltime

AI Solutions Engineer

Join the IT Engineering team as an AI Solutions Engineer, where you'll play a vi...

Location

United States , Denver; San Francisco

Salary:

129000.00 - 179000.00 USD / Year

Checkr

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Engineering, Data Science, or equivalent experience. A graduate degree is a plus
5+ years of experience in engineering roles with a focus on building and deploying AI technologies that drive productivity
3+ years of hands-on experience developing AI-infused products, including machine learning, generative AI, deep learning, and statistical modeling techniques
Strong programming skills in languages such as Python
experience with AI frameworks like TensorFlow, PyTorch, or similar tools
Exceptional ability to tackle open-ended problems in unstructured environments, synthesizing complex data into actionable insights
Proven track record of working effectively within cross-functional teams, with strong interpersonal and communication skills
Flexible and introspective, with a willingness to learn, teach, lead, and follow as situations require
A deep interest in leveraging AI to transform internal processes and enhance employee productivity

Job Responsibility

Engage with Internal Teams: Collaborate with internal stakeholders across various departments to understand their workflows, identify pain points, and uncover opportunities where AI can enhance productivity and efficiency
Develop AI Solutions: Design, develop, and deploy bespoke AI solutions tailored to meet the specific needs of internal teams, improving processes and decision-making capabilities
Cross-Functional Collaboration: Work closely with Engineers, Product Designers, and other AI Solutions Engineers to integrate AI technologies into existing systems and workflows
Iterate and Improve: Collect feedback from internal users to iterate on AI solutions, ensuring they continue to meet evolving needs and drive concrete impact within the organization
Training and Enablement: Lead training sessions and workshops to empower internal teams with the knowledge and tools to effectively utilize AI solutions
Strategic Planning: Contribute to the shaping of AI strategies and roadmaps aligned with organizational goals, ensuring that AI initiatives deliver maximum value
Stay Current with AI Trends: Continuously research and stay informed about the latest advancements in AI to incorporate relevant innovations into internal solutions
Communicate Insights: Present findings, progress updates, and future proposals to internal stakeholders, ranging from team members to executive leadership

What we offer

A fast-paced and collaborative environment
Learning and development allowance
Competitive compensation and opportunity for advancement
100% medical, dental, and vision coverage
Up to $25K reimbursement for fertility, adoption, and parental planning services
Flexible PTO policy
Monthly wellness stipend, home office stipend

Fulltime