CrawlJobs Logo
Provectus Logo Provectus · IT - Software Development

Senior ML Engineer (LLMs, AWS)

· Job Posted May 29, 2026
Apply Position
Job Link Share

Job Description

Join us at Provectus to be a part of a team that is dedicated to building cutting-edge technology solutions that have a positive impact on society. Our company specializes in AI and ML technologies, cloud services, and data engineering, and we take pride in our ability to innovate and push the boundaries of what's possible. As an ML Engineer, you'll be provided with all opportunities for development and growth. Let's work together to build a better future for everyone!

Job Responsibility

  • Create ML models from scratch or improve existing models
  • Collaborate with the engineering team, data scientists, and product managers on production models
  • Develop experimentation roadmap
  • Set up a reproducible experimentation environment and maintain experimentation pipelines
  • Monitor and maintain ML models in production to ensure optimal performance
  • Write clear and comprehensive documentation for ML models, processes, and pipelines
  • Stay updated with the latest developments in ML and AI and propose innovative solutions

Requirements

  • Comfortable with standard ML algorithms and underlying math
  • Strong hands-on experience with LLMs in production, RAG architecture, and agentic systems
  • AWS Bedrock experience strongly preferred
  • Practical experience with solving classification and regression tasks in general, feature engineering
  • Practical experience with ML models in production
  • Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines
  • Solid software engineering skills (i.e., ability to produce well-structured modules, not only notebook scripts)
  • Python expertise, Docker
  • English level - strong upper- intermediate
  • Excellent communication and problem-solving skills

Nice to have

  • Practical experience with cloud platforms (AWS stack is preferred, e.g. Amazon SageMaker, ECR, EMR, S3, AWS Lambda)
  • Practical experience with deep learning models
  • Experience with taxonomies or ontologies
  • Practical experience with machine learning pipelines to orchestrate complicated workflows
  • Practical experience with Spark/Dask, Great Expectations
Provectus - All Job Offers

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Suggested Tags: Frontend Developer Secretary Talent Manager Salesforce Administrator Data Analyst
Similar Jobs for

Senior ML Engineer (LLMs, AWS)

8 matching positions

Senior AI Engineer

We are seeking a Senior AI Engineer (L4, Individual Contributor) to design, buil...
Location
Location
India , Chennai
Salary
Salary:
Not provided
arcadia.com Logo
Arcadia
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 12+ years of professional software engineering experience
  • 3+ years in AI/ML development
  • Strong expertise in Python, PyTorch/TensorFlow, scikit-learn, and ML tooling (MLflow, LangChain)
  • Proficiency with SQL, cloud services (AWS), containers (Docker, Kubernetes), and distributed systems
  • Understanding of modern AI research (LLMs, diffusion models, transformers)
  • Experience deploying ML models in production with CI/CD
  • Strong analytical skills, ability to balance speed and rigor in experimentation
  • A passion for sustainability and the clean-energy mission
  • Experienced with building agentic pipelines with the latest models from Anthropic, Google, OpenAI, and more
Job Responsibility
Job Responsibility
  • Integrate with LLMs and be an expert in prompt engineering to derive the right results from the models with limited hallucination
  • Design and train ML/AI models (forecasting, NLP, graph learning, generative AI) to improve data quality, cost effectiveness, and system scalability
  • Deploy and optimize models for large-scale production workloads using Python-based services in AWS/Kubernetes environments
  • Build robust, automated data pipelines and ML Ops workflows for continuous training and deployment
  • Research and experiment with modern AI methods (transformers, foundation models, reinforcement learning) and adapt them to energy-sector challenges not limited to utility statements
  • Drive performance improvements in model accuracy, latency, and cost efficiency
  • Collaborate with Product, SRE, and Analytics teams to deliver AI-enabled features across Arcadia’s platform
  • Write clean, maintainable code, contribute to architecture reviews, and mentor junior engineers
  • Build true agentic workflows with multi-step processing incorporating RAG pipelines and MCPs
What we offer
What we offer
  • Competitive compensation and employee stock options
  • Hybrid/remote-first working model (India-based role, with global collaboration)
  • Flexible leave policy
  • Comprehensive medical insurance (self + family members)
  • Annual performance cycle + quarterly recognition awards
  • A supportive, diverse engineering culture grounded in empathy, teamwork, and innovation
  • Fulltime
Read More
Arrow Right

Senior Software Engineer, Forward Deployed

As a Senior Software Engineer, Forward Deployed Engineer (FDE) you'll work direc...
Location
Location
United States , Austin; New York; San Francisco Bay Area; Washington DC–Baltimore
Salary
Salary:
165000.00 - 266000.00 USD / Year
invisible.co Logo
Invisible Technologies
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 6+ years of software engineering experience, including significant time spent building data, ML, or backend systems
  • Deep proficiency in Python with hands-on experience using Hugging Face, LangChain, OpenAI, Pinecone, and related ecosystems
  • Skilled in full-stack and API-based deployment patterns, including Docker, FastAPI, Kubernetes, and cloud environments (GCP, AWS)
  • Experienced with workflow orchestration libraries, pub/sub systems (Kafka), and schema governance
  • Expertise in data governance and operations, including Unity Catalog and policy management, cluster/job orchestration, data contracts and quality enforcement, Delta/ETL pipelines, and replay processes
  • Strong product and system design instincts — you understand business needs and how to translate them into technical architecture
  • Experience building usable systems from messy data and ambiguous requirements
  • Excellent communication and client-facing skills
  • you’ve led conversations with technical and non-technical stakeholders alike
  • Proven experience owning projects from scoping through deployment in ambiguous, high-stakes environments
Job Responsibility
Job Responsibility
  • Collaborate with delivery leaders to scope technical solutions to operational problems
  • Identify workflow optimizations through deep engagement with customer problems and work to build into a stable and scalable solution
  • Design and implement AI-powered workflows using LLMs, embedding models, retrieval systems, and automation tools
  • Translate messy real-world constraints (e.g., inconsistent data, latency requirements) into elegant engineering solutions
  • Iterate quickly based on real-time feedback from operators and clients
  • Build reusable tooling and infrastructure that accelerates future deployments
What we offer
What we offer
  • Bonuses and equity are included in offers above entry level
  • Fulltime
Read More
Arrow Right

Senior Staff Machine Learning Engineer

Help design our AI platform and develop our next generation of machine learning ...
Location
Location
United States , San Francisco
Salary
Salary:
216500.00 - 324500.00 USD / Year
gofundme.com Logo
GoFundMe
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 9+ years of hands-on experience in machine learning engineering, AI development, software engineering, or related fields
  • Experience emphasizing secure, large-scale, distributed system design, AI/ML pipeline development, and implementation
  • Extensive experience designing, developing, and operating scalable backend systems
  • Experience applying software engineering best practices such as domain-driven design, event-driven architectures, and microservices
  • Deep expertise in agentic workflows, AI evaluation solutions, prompt management, and secure AI development and testing practices
  • Strong knowledge of relational and document-based databases, data storage paradigms, and efficient RESTful API design
  • Experience establishing robust CI/CD pipelines, automated testing (unit and integration), and deployment practices
  • Strong leadership skills, including effective planning and management of complex projects, mentoring of team members, and fostering a collaborative, high-performing engineering culture
  • Excellent communicator, able to articulate complex technical concepts clearly to both technical and non-technical stakeholders
  • Bachelor's degree in Computer Science, Software Engineering, or a related technical field (preferred)
Job Responsibility
Job Responsibility
  • Design and implement AI platforms to enable scalable and secure access to LLMs from multiple model providers for diverse use cases
  • Design and implement agentic workflows, agentic tool ecosystems, and LLM prompt management solutions
  • Design, build, and optimize scalable model training, fine tuning, and inference pipelines, ensuring robust integration with production systems
  • Influence technical strategy and approach to developing embedding stores, vector databases, and other reusable assets
  • Lead initiatives to streamline ML and AI workflows, improve operational efficiency, and establish standardized procedures to achieve consistent, high-quality results across our AI systems
  • Design and develop backend services and RESTful APIs using Python and FastAPI, integrating seamlessly with ML pipelines and services
  • Take operational responsibility for team-owned services, including performance monitoring, optimization, troubleshooting, and participation in an on-call rotation
  • Collaborate with both technical and non-technical colleagues, including data and applied scientists, software engineers, product managers, and business stakeholders, to deliver reliable and scalable ML-driven products
  • Coach and mentor fellow ML engineers, promoting a culture of collaboration, continuous improvement, and engineering excellence within the team
  • Employ a diverse set of tools and platforms including Python, AWS, Databricks, Docker, Kubernetes, FastAPI, Terraform, Snowflake, Coralogix, and GitHub to build, deploy, and maintain scalable, highly available machine learning infrastructure
What we offer
What we offer
  • Competitive pay
  • Comprehensive healthcare benefits
  • Financial assistance for things like hybrid work, family planning
  • Generous parental leave
  • Flexible time-off policies
  • Mental health and wellness resources
  • Learning, development, and recognition programs
  • Fulltime
Read More
Arrow Right

Senior Applied Machine Learning Engineer

Machine learning is integral to every financial service we provide. As we embark...
Location
Location
United States , Mountain View
Salary
Salary:
232200.00 - 283800.00 USD / Year
earnin.com Logo
EarnIn
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s/Master’s in Computer Science, Engineering, or equivalent industry experience
  • 4+ years of machine learning experience with strong software engineering skills
  • Proficiency in ML techniques (LLMs, deep learning, sequence, and tree-based models)
  • Advanced Python programming, SQL, and data manipulation skills
  • Experience with ML frameworks (TensorFlow, PyTorch) and cloud platforms (AWS Sagemaker, Databricks, GCP Vertex AI)
  • Excellent communication and collaboration abilities
  • A passion for continuous learning and personal growth in a dynamic work environment
Job Responsibility
Job Responsibility
  • Design, develop, A/B test, and deploy models while collaborating with data scientists to drive data-driven decisions
  • Enhance models by incorporating innovative features every quarter and leveraging the latest industry research
  • Monitor feature and model health, and communicate changes in model decisions
  • Explore and integrate advanced technologies, including deep learning and LLMs, in the risk domain
  • Lead by example to foster operational excellence and transformative change
  • Expand responsibilities as new products emerge
What we offer
What we offer
  • equity and benefits
  • Fulltime
Read More
Arrow Right

Senior AI Engineer

HPE Galway are seeking a highly skilled Senior AI Engineer to join our growing A...
Location
Location
Ireland , Galway
Salary
Salary:
Not provided
https://www.hpe.com/ Logo
Hewlett Packard Enterprise
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree in computer science, AI/ML or related technology
  • Minimum of 8+ years of work experience in cloud based and/or open source software development
  • 3+ years of experience in AI/ML engineering with a focus on LLMs and knowledge retrieval systems
  • Strong hands-on experience with LLM frameworks: LangChain, LangGraph, PydanticAI, or similar
  • Proven experience implementing RAG systems and vector databases (PostgreSQL with pgvector, Pinecone, FAISS, Weaviate, Chroma)
  • Proficiency in Python with deep knowledge of ML libraries (PyTorch, TensorFlow, Transformers)
  • Experience with Model Context Protocol (MCP) server development and deployment
  • Understanding of Google ADK and A2A protocol implementations
  • Strong knowledge of cloud platforms (AWS, Azure, GCP) and their AI/ML services
  • Experience with prompt engineering, fine-tuning, and LLM optimization techniques
Job Responsibility
Job Responsibility
  • Design and develop AI-driven applications leveraging large language models (LLMs), retrieval-augmented generation (RAG), and Graph RAG architectures
  • Implement and optimize RAG techniques for improved knowledge retrieval and contextual reasoning
  • Build and maintain graph-based AI solutions using modern frameworks like LangGraph, PydanticAI, and LangChain
  • Develop and deploy Model Context Protocol (MCP) servers for seamless data integration across various sources
  • Design scalable vector database solutions using Pinecone, Weaviate, or similar technologies
  • Integrate Google Agent Development Kit (ADK) and Agent-to-Agent (A2A) protocols for multi-agent workflows
  • Collaborate with cross-functional teams to translate business requirements into technical AI solutions
  • Maintain high code quality standards and implement comprehensive testing strategies
What we offer
What we offer
  • Health & Wellbeing
  • Personal & Professional Development
  • Unconditional Inclusion
  • Fulltime
Read More
Arrow Right

Senior Principal Machine Learning Engineer

You’ll form a new team of passionate engineers dedicated to building and scaling...
Location
Location
United States
Salary
Salary:
222300.00 - 348975.00 USD / Year
https://www.atlassian.com Logo
Atlassian
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s, Master’s, or PhD in Computer Science, Statistics, Mathematics, or a related field, or equivalent practical experience
  • 12+ years of industry experience in machine learning, data science, or AI, with a proven track record of delivering production-grade ML systems
  • Deep expertise in Python, Go, or Java, with the ability to write performant, production-quality code
  • familiarity with SQL, Spark, and cloud data environments (e.g., AWS, GCP, Databricks)
  • Experience building and scaling ML models for business-critical applications, ideally in security, privacy, anti-abuse, or compliance domains
  • Strong communication skills, able to explain complex ML concepts to diverse audiences and influence stakeholders
  • Demonstrated ability to solve ambiguous, complex problems and drive projects from ideation to production
  • Agile development mindset, with a focus on iterative improvement and business impact
Job Responsibility
Job Responsibility
  • Lead AI/ML Strategy for Trust: Drive the development and implementation of advanced machine learning algorithms and AI systems for Trust, Security, Product Abuse, and Compliance use cases (e.g., threat detection, vulnerability management, privacy automation, AI safety)
  • Architect and Scale ML Platforms: Design and build scalable, secure, and reliable ML infrastructure and pipelines, ensuring compliance with privacy and regulatory requirements
  • AI Safety and Responsible AI: Develop and champion AI safety practices, including output moderation, explainability, and alignment with evolving regulatory frameworks
  • Cross-Functional Collaboration: Partner with product, engineering, security, privacy, and analytics teams to deliver transformative AI/ML solutions that enhance Atlassian’s trust posture
  • Mentorship and Leadership: Mentor and guide ML engineers and data scientists, fostering a culture of technical excellence, innovation, and continuous improvement
  • Innovation and Research: Stay at the forefront of AI/ML research, evaluating and applying the latest techniques (e.g., LLMs, anomaly detection, privacy-preserving ML) to real-world Trust challenges
  • Platform Enablement: Build reusable ML services and APIs that empower other teams to integrate AI/ML into their products and workflows
  • Operational Excellence: Ensure high availability, reliability, and security of all ML-powered Trust platforms and services
What we offer
What we offer
  • health and wellbeing resources
  • paid volunteer days
  • benefits, bonuses, commissions, and equity
  • Fulltime
Read More
Arrow Right

LLM - Senior Staff Engineer - Python + Machine Learning

AquSag is seeking a hands-on Machine Learning Senior Staff Engineer to lead cros...
Location
Location
Salary
Salary:
40.00 - 60.00 USD / Hour
aqusag.com Logo
AquSag Technologies
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 9+ yrs of strong background in Machine Learning, NLP, and modern deep learning architectures (Transformers, LLMs)
  • Hands-on experience with frameworks such as PyTorch, TensorFlow, Hugging Face, or DeepSpeed
  • Hands-on experience in Docker for Production deployment
  • Proven experience managing teams delivering ML/LLM models in production environments
  • Knowledge of distributed training, GPU/TPU optimization, and cloud platforms (AWS, GCP, Azure)
  • Familiarity with MLOps tools like MLflow, Kubeflow, or Vertex AI for scalable ML pipelines
  • Excellent leadership, communication, and cross-functional collaboration skills
  • Bachelor’s or Master’s in Computer Science, Engineering, or related field (PhD preferred)
  • Overlap of 6 hours with PST time zone is mandatory
  • Commitments Required: 8 hours per day with overlap of 6 hours with PST
Job Responsibility
Job Responsibility
  • Lead and mentor a cross-functional team of ML engineers, data scientists, and MLOps professionals
  • Oversee the full lifecycle of LLM and ML projects — from data collection to training, evaluation, and deployment
  • Collaborate with Research, Product, and Infrastructure teams to define goals, milestones, and success metrics
  • Provide technical direction on large-scale model training, fine-tuning, and distributed systems design
  • Implement best practices in MLOps, model governance, experiment tracking, and CI/CD for ML
  • Manage compute resources, budgets, and ensure compliance with data security and responsible AI standards
  • Communicate progress, risks, and results to stakeholders and executives effectively
  • Fulltime
Read More
Arrow Right

Senior Software Engineer – AI

NStarX is seeking a highly skilled Senior Software Engineer – AI with a strong f...
Location
Location
India , Hyderabad
Salary
Salary:
Not provided
nstarxinc.com Logo
NStarX
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or a related field (PhD is a plus)
  • 9+ years of experience in AI/ML engineering or related roles
  • 3+ years of experience in Generative AI with team leadership responsibilities
  • Proven track record of production-grade ML and GenAI model development and deployment
  • Programming: Python (preferred)
  • GenAI Frameworks: Hugging Face Transformers, Diffusers, LangChain, TGI
  • Serving & Inference: FastAPI, gRPC, NVIDIA Triton, TorchServe
  • Cloud Platforms: AWS (SageMaker, EKS), GCP (Vertex AI, GKE), Azure (Azure ML, AKS)
  • MLOps & DevOps: Kubeflow, MLflow, GitHub Actions, Jenkins, Helm, Terraform
  • Optimization Techniques: Model quantization, distillation, pipeline and tensor parallelism
Job Responsibility
Job Responsibility
  • Design, develop, and deploy machine learning models and AI algorithms to address complex business challenges
  • Lead and mentor a team of AI/ML engineers, ensuring quality and scalability in solution design and implementation
  • Collaborate closely with cross-functional teams including data scientists, software engineers, product managers, and UX designers
  • Lead the development and deployment of Generative AI applications across text, code, image, and audio modalities using state-of-the-art LLMs
  • Design and implement CI/CD pipelines for the GenAI model lifecycle including training, validation, packaging, and deployment
  • Apply best practices for model performance tuning, cost optimization, and scalable deployment in cloud and hybrid environments
  • Develop prompt engineering, fine-tuning strategies (LoRA, QLoRA, PEFT), and evaluation protocols tailored to business use cases
  • Stay current with emerging trends in AI, ML, and Generative AI and drive adoption across teams
  • Document processes, model architectures, and deployment strategies for traceability and knowledge sharing
  • Work closely with cross-functional teams to gather requirements and deliver high-quality solutions
What we offer
What we offer
  • Competitive salary aligned with market standards
  • Opportunities for professional development and skill enhancement
  • A collaborative and innovative work environment
  • Fulltime
Read More
Arrow Right