AI/ML Engineer Job at Digisailor

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

Principal Engineer - AI/ML

This role involves leading the innovation agenda and technology roadmap for HPE'...

Location

India , Hyderabad

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Bachelor's or master’s degree in computer science, engineering, information systems, or closely related quantitative discipline
Typically, 10-15 years’ experience
Strong programming skills in Python, Java, Golang, or JavaScript
Deep expertise in software systems design, development methodologies, and integration across diverse platforms and technologies
Proficient in cloud-based security concepts like using identity and access management, firewalls, VPN, and in-plane switching systems
History of innovation with multiple patents or deployed solutions in software design
Excellent written and verbal communication skills
Ability to effectively communicate product architectures, design proposals, and negotiate options at business unit and executive levels

Job Responsibility

Experiment, design, develop and maintain machine learning models and pipelines with a high potential for value and scale
Collaborate with other ML engineers, data scientists, product managers, and other engineers to ensure successful implementation of machine learning solutions
Perform research and testing to develop or customize machine learning algorithms
conduct model training and evaluation as needed
integrate, test, tune and monitor the solutions developed
Research and evaluate new technologies and tools for machine learning
Maintain and update existing machine learning systems
Troubleshoot and debug machine learning systems
Work collaboratively with cross-functional partners and stakeholders, identify opportunities for business impact, understand, refine, and prioritize requirements for machine learning models, drive engineering decisions, and quantify impact
Hands-on develop, productionize, and operate Machine Learning models and pipelines at scale, including both batch and real-time use cases

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Fulltime

AI/ML Engineer

This role, part of the Network Operations Center (NOC) team, will be responsible...

Location

United States , New Jersey

Salary:

Not provided

eGrove Systems

Expiration Date

Until further notice

Requirements

10+ Years of experience in Technology
Data Strategy and Automation Framework
Background in AI/ML
5+ Years of experience in design first approach with reference architectures
5+ years experience in Automation suite of products including Git, CI/CD Pipelines and Kafka
5+ years of experience in Snowflake, Apache Airflow and ETL tools (cumulative across these products)

Job Responsibility

Act as a liaison between the NOC team and the Software Engineering team to design mock-ups
Review and understand the big picture, engage with customers and the NOC team, and recommend key focus areas to transform the automation framework
Define the data strategy for use in LLM (AI/ML) for chatbot capabilities
Demonstrate familiarity with CI/CD principles and Kafka streaming solutions to design real-time NOC-focused CDO dashboards
Build reusable reference architectures for enterprise-scale CDO dashboards

Senior Software Engineer (TypeScript) - AI/ML

We are looking for a Senior Software Engineer to drive the development of AI/ML-...

Location

United States

Salary:

131000.00 - 185000.00 USD / Year

ClickHouse

Expiration Date

Until further notice

Requirements

5+ years of software engineering experience in production environments
Exposure to working directly with AI/ML technologies
Strong frontend skills with TypeScript/JavaScript and React
Backend development experience in TypeScript or Python, with a focus on API design and service architecture
You have a high level of ownership and can drive features from concept to production with minimal supervision
You thrive in collaborative environments and can effectively communicate technical concepts to diverse stakeholders

Job Responsibility

Feature Development: Design and implement AI-powered features across the full stack, from backend inference services to intuitive frontend interfaces within the ClickHouse Cloud platform
API Architecture: Create robust, scalable APIs that connect ClickHouse's database capabilities with modern AI/ML inference systems and external/internal AI services
UI/UX Implementation: Build responsive, intuitive user interfaces that make complex AI functionalities accessible and valuable to users of all technical backgrounds
Ecosystem Integrations: Implement and maintain integrations with the broader AI/ML ecosystem and standards, ensuring that ClickHouse as a technology works seamlessly with popular frameworks and tools
Technical Integration: Integrate models into production systems with proper monitoring, versioning, observability, and evaluation

What we offer

Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in 20 countries
Healthcare - Employer contributions towards your healthcare
Equity in the company - Every new team member who joins our company receives stock options
Time off - Flexible time off in the US, generous entitlement in other countries
A $500 Home office setup if you’re a remote employee
Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites

Fulltime

AI/ML Engineer

HPE Operations is our innovative IT services organization. It provides the exper...

Location

India , Bangalore

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

7+ years in AI/ML engineering, data science, or applied machine learning
Proficiency in Python, R, or Scala with ML libraries/frameworks (TensorFlow, PyTorch, Scikit-learn, Keras, XGBoost)
Strong background in statistics, data mining, and algorithm design
Hands-on experience with cloud AI/ML platforms (AWS SageMaker, Azure ML, GCP Vertex AI)
Familiarity with MLOps tools (Kubeflow, MLflow, Airflow, Docker, Kubernetes)
Strong knowledge of SQL/NoSQL databases and data lakes
Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, or related field

Job Responsibility

Design, train, and optimize ML/DL models for classification, prediction, NLP, computer vision, and recommendation systems
Deploy ML models into production using MLOps frameworks
Develop reusable ML components for scalability and automation
Work with large-scale datasets for feature extraction, cleaning, and transformation
Implement data pipelines for real-time and batch ML workloads
Build end-to-end automated ML lifecycle pipelines
Integrate CI/CD practices into ML model deployment
Optimize algorithms for speed, accuracy, and cost efficiency
Ensure compliance with ethical AI practices and regulatory frameworks
Mentor junior engineers and contribute to best-practice frameworks

What we offer

Health & Wellbeing benefits
Personal & Professional Development programs
Unconditional Inclusion environment
Career growth opportunities

Fulltime

Senior AI/ML Engineer

Barbaricum is seeking a highly experienced Senior AI/ML Engineer to support Soft...

Location

United States , Crane

Salary:

Not provided

Barbaricum

Expiration Date

Until further notice

Requirements

Active DoD Secret Clearance (Top Secret preferred)
Bachelor’s degree in Computer Science, Engineering, or related technical discipline (Master’s preferred)
10+ years of progressive experience in AI/ML engineering, software development, or applied data science
Expertise in developing, deploying, and securing AI/ML applications within mission-critical or defense environments
Demonstrated experience with LLMs, MLOps pipelines, and modern ML frameworks (e.g., PyTorch, TensorFlow)
Strong background in software and cyber engineering principles, including system hardening, secure coding, and vulnerability mitigation
Proven ability to lead complex technical efforts, mentor junior engineers, and interface with government stakeholders
DoD 8570 Advanced certification (e.g., SecurityX, GCSA, CCSP, or equivalent) must be obtained and maintained

Job Responsibility

Partner with project managers and engineering teams to define objectives for AI/ML systems in support of maneuver, surveillance, and engagement missions
Develop and prototype AI/ML systems to address mission-specific requirements, including computer vision, sensor fusion, and decision-support applications
Conduct rigorous testing and evaluation of AI/ML performance against operational datasets
Analyze test data to identify model strengths, weaknesses, and mission relevance
Refine and optimize systems to ensure robustness, scalability, and cyber resilience
Troubleshoot complex system challenges and provide technical guidance for deployed solutions
Deliver comprehensive documentation and technical reports to stakeholders
Maintain awareness of emerging AI/ML technologies, software engineering practices, and cyber defense techniques relevant to mission-critical systems

AI/ML Engineer - Public Sector

Unstructured is seeking an AI/Machine Learning Engineer to join our Public Secto...

Location

United States

Salary:

Not provided

Unstructured

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field. Master’s or PhD a plus
4+ years of experience in AI/ML engineering, MLOPS, systems architecture, or similar technical roles
2+ years of experience working with government networks and security requirements
An understanding of government security frameworks (FedRAMP, NIST 800-53, FISMA, DISA SRG) and how they apply to ML workloads
History of leading or delivering high-impact ML initiatives in enterprise or government environments
preference for those with articulable experience assessing performance of alternative models, architectures, and implementation strategies
A commitment to meeting the demanding engineering standards required to support national security and defense clients
A strong interest in being at the forefront of the AI revolution
TS Active Clearance required for the role + ability to travel
Familiar with AWS, Azure, and/or GCP services for ML workloads

Job Responsibility

Develop evaluation and assessment tools and frameworks to measure newly developed models for performance against key metrics across a wide domain of tasks and knowledge sets
Identify, propose, and implement modifications of existing models and model implementation frameworks to optimize for new tasks
Lead conceptualization of both traditional and agentic implementation strategies for cloud and on-premises model deployments within broader system architectures
Lead and optimize distributed ML workloads on multiple government cloud and non-cloud infrastructures
Align AI/ML deployments with FedRAMP, NIST 800-53, FISMA, and DISA SRG, maintaining strict security standards
Create reference architectures and deployment patterns to streamline ML adoption across government agencies
Translate mission objectives into ML-focused technical specifications and project plans
Apply advanced security controls and zero-trust architectures to protect ML pipelines and data
Continuously assess ML workloads for performance, cost, and security improvements, driving ongoing refinement

What we offer

Competitive compensation, equity, and benefits

Fulltime

AI/ML Engineer (IAM Solutions)

The project is a subscription-based IAM platform that offers both on-premise and...

Location

Salary:

Not provided

Coherent Solutions

Expiration Date

Until further notice

Requirements

3+ years of experience in AI/ML development, including supervised and unsupervised learning, feature engineering, and model evaluation
Proficiency in Python for data processing and ML model development
Hands-on experience with ML frameworks such as PyTorch and TensorFlow
Strong analytical and problem-solving skills, with the ability to justify technical decisions
English proficiency at Upper-Intermediate (B2+) or higher for frequent stakeholder communication
Ownership mindset and ability to work in a dynamic, evolving environment

Job Responsibility

Analyze and identify data-driven opportunities to develop ML-powered solutions that enhance IAM capabilities and customer experience
Design and implement ML models using Python and frameworks such as PyTorch, TensorFlow, and scikit-learn
Collaborate closely with a small cross-functional team (1-3 engineers/leads) on the client side for implementation
Participate in technical discussions to define architecture and justify decisions
Support integration of ML features into the existing Java-based microservices architecture
Ensure solutions are scalable, maintainable, and aligned with client objectives
Mentor junior engineers as the project evolves

What we offer

Technical and non-technical training for professional and personal growth
Internal conferences and meetups to learn from industry experts
Support and mentorship from an experienced employee to help you professional grow and development
Internal startup incubator
Health insurance
English courses
Sports activities to promote a healthy lifestyle
Flexible work options, including remote and hybrid opportunities
Referral program for bringing in new talent
Work anniversary program and additional vacation days

AI/ML Engineer

Digisailor

Location:
Singapore

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
February 24, 2026

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

Similar Jobs for AI/ML Engineer