SPECTRAFORCE · 2 hours ago
Machine Learning Engineer with GenAI exp (W2 contract)
Dallas, TX
Contract
Hybrid
Senior Level, Lead/Staff
8+ years expSPECTRAFOR is seeking a Senior Machine Learning Engineer to productionize research models and GenAI workflows into scalable services. The ideal candidate will have a strong software engineering background and experience in deploying and integrating machine learning models.
ConsultingCRMInformation TechnologyLegal
Hiring Manager
Suhasini Tarimana
Responsibilities
Productionize research models and GenAI workflows into scalable services
Deployment, integration, and scaling of ML models
Building and deploying RAG pipelines using embedding models and vector search
Communicate complex technical concepts to non-technical stakeholders
Establish pipelines and frameworks that allow research models to move seamlessly into production
Enable RAG-based apps and agentic workflows to be deployed reliably
Ensure services are scalable, secure, and easy to integrate across teams
Provide clarity on how different ML models fit different business problems
Stay updated with the latest advancements in Machine Learning world and integrate them into projects
Qualification
Required
Must have experience with agent orchestration frameworks (LangChain, CrewAI, LangGraph, AutoGen etc)
Experience working with and deploying statistical Machine learning algorithms
Proficiency with AWS services (S3, Lambda, ECS, SageMaker, etc.) and DevOps
Bachelor's or Master's in Computer Science, Artificial Intelligence, Machine Learning, or related field
8+ years of software engineering experience in APIs, cloud deployments, and system integration
3-5 years in ML engineering, with 2+ years in agentic or multi-agent systems
Proven must have experience building and deploying RAG pipelines using embedding models and vector search
Must have hands-on experience with vector databases such as FAISS, Pinecone, Weaviate, or Milvus
Strong background in cloud-native software engineering and microservices architecture
Concrete understanding of traditional ML models and their use cases
Programming: Advanced Python skills; familiarity with C++, Java, or .NET is a plus
Cloud Platforms: Proficiency with AWS services (S3, Lambda, ECS, SageMaker, etc.)
Databases: Experience with Oracle, Snowflake, vector databases, and knowledge graphs (e.g., Neo4j, RDF/SPARQL)
DevOps: CI/CD pipelines, Docker, Kubernetes, GitHub Actions
AI Ethics: Understanding of Responsible AI principles and ability to identify and mitigate ethical risks
Stay updated with the latest advancements in Machine Learning world and integrate them into projects
Communicate complex technical concepts to non-technical stakeholders
Integration expertise: You can take research outputs and turn them into production-ready APIs and applications
ML/GenAI awareness: You understand which types of models are used for which problems, and can connect them effectively to real-world data
System design: You know how to containerize, scale, and monitor services
Engineering discipline: You bring CI/CD, versioning, and logging best practices to ML/GenAI deployment
Experience building observability systems for agent performance tracking (e.g., Prometheus, Grafana, OpenTelemetry)
Strong grasp of AI safety, fairness, and governance
Ability to research, evaluate, and implement emerging tools and frameworks
Demonstrated success in proof-of-concept development, experimentation, optimization, and production deployment
Proficiency in designing scalable, distributed systems and cloud-native applications
Collaborative mindset with strong communication and problem-solving skills
Preferred
Good to have if you have exposure or worked on tools which aid for continuous model evaluation and alerting
Company
SPECTRAFORCE
Welcome to SPECTRAFORCE, your gateway to NEWJOBPHORIA™! Established in 2004, SPECTRAFORCE is now one of the largest and fastest growing U.S.
1001-5000 employees
H1B Sponsorship
SPECTRAFORCE has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (3)
2024 (6)
2023 (1)
2022 (6)
2021 (8)
2020 (7)
Funding
Current Stage
Late StageCompany data provided by crunchbase