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🔥 Middle NLP Engineer

Posted about 2 hours ago

📍 Serbia

🧭 Full-Time

🔍 Software Development

🏢 Company: Social Discovery Group👥 501-1000 Venture Capital Finance Information Technology

🔧 Requirements

Proficiency in Python (pandas, NumPy, scikit-learn, matplotlib, Plotly)
Excellent coding skills
Strong knowledge of LLMs: APIs, best models, and prompting techniques
Familiarity with Data & ML production pipelines (Airflow, MlFlow)
Proven experience working on ML solutions

💡 Responsibilities

Work on NLP-related tasks as part of the team, including writing prompts, creating functions, and fine-tuning models when necessary
Build ML/AI models, write services (if needed for the project), wrap them into Docker
Collaborate with cross-functional team of: Product owner, Analytics, ML
Share ideas and help with knowledge with the team

AWS Docker Python Data Analysis GCP Machine Learning MLFlow Numpy Airflow Algorithms Azure REST API Pandas

Posted about 2 hours ago

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🔥 Senior Machine Learning Engineer (Spain remote)

Posted about 5 hours ago

📍 Spain

🔍 Biometric Security

🔧 Requirements

Bachelor's degree in computer science, computer engineering, relevant technical field, or equivalent practical experience.
Experience leading projects.
Experience communicating and working across functions to drive solutions.
5+ years of experience in software engineering, computer vision, machine learning, and image processing.
Strong proficiency in Python and ML Ops.
Experience in one or more deep learning frameworks: Tensorflow / Pytorch.
Experience with Linux, Docker, git, and MongoDB.
Experience with MLOPS tools: dvc / MLflow/ ClearML / Airflow.

💡 Responsibilities

Tackle complex machine learning challenges, from designing, training, evaluating, and optimizing deep learning models for a wide range of tasks: face detection and recognition, deepfake detection, image quality assessment and others.
Perform deep data analysis and build data-driven algorithms.
Collaborate cross-functionally to transform research prototypes into robust, high-performance production solutions.
Provide technical leadership, making crucial decisions on ML architecture, model optimization, and coding practices.
Stay at the forefront of emerging technologies and research, driving continuous improvement and innovation in our solutions.
Own the ML Ops stack, with a strong emphasis on training, evaluation, and model versioning to ensure our machine learning models are reliable, scalable, and production ready.

Docker Leadership Python Data Analysis Git Image Processing Machine Learning MLFlow MongoDB PyTorch Algorithms Tensorflow Linux Software Engineering

Posted about 5 hours ago

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🔥 Staff Technical Enablement Specialist

Posted 2 days ago

📍 United States

💸 123000.0 - 235900.0 USD per year

🔍 Data/AI

🔧 Requirements

7+ years of experience in technical pre-sales, technical enablement, technical program management, or consulting with a focus on data, AI, or cloud technologies.
Experience building, delivering, and scaling technical enablement programs for highly skilled technical teams.
Proven ability to create, manage, and execute large-scale enablement programs, balancing technical rigor with structured program management.
Exceptional communication and presentation skills, with the ability to engage technical and executive audiences.
Strong stakeholder management and collaboration skills, with the ability to align multiple teams toward a common goal.
[Preferred] Experience in technical pre-sales roles, building proofs-of-concept, or implementing technical solutions for customers.
[Preferred] Databricks certification or experience with Apache Spark™, MLflow, Delta Lake, and other open-source technologies.

💡 Responsibilities

Design, implement, and scale enablement solutions that foster domain specialization, hands-on expertise, and technical mastery.
Introduce innovative multi-signal validation methods that assess expertise through real-world application and structured learning.
Facilitate enablement sessions, workshops, and hands-on activities that reinforce applied problem-solving and deep technical skills.
Develop and maintain technical content, including reference architectures, solution guides, and POC templates.
Measure impact and iterate on enablement programs, leveraging feedback and performance data to drive improvements.
Collaborate with technical field teams, enablement leaders, and stakeholders to continuously refine and scale high-impact training programs.
Drive adoption of enablement programs and strategies among senior leaders by proposing solutions that align with business priorities, address key challenges, and incorporate industry trends.

AWS Python SQL Artificial Intelligence Cloud Computing ETL Machine Learning MLFlow Cross-functional Team Leadership API testing Data engineering Data science REST API Communication Skills Data visualization Stakeholder management Data analytics

Posted 2 days ago

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🔥 Senior Machine Learning Engineer II

Posted 2 days ago

📍 India

🔍 Software Development

🏢 Company: Apollo.io👥 501-1000💰 $100,000,000 Series D over 1 year agoSoftware Development

🔧 Requirements

8+ years of experience building Machine Learning or AI systems
Experience deploying and managing machine learning models in the cloud
Experience working with fine tuning LLMs and prompt engineering
Strong analytical and problem-solving skills
Proven software engineering skills in production environment, primarily using Python
Experience with Machine Learning software tools and libraries (e.g., Scikit-learn, TensorFlow, Keras, PyTorch, etc.)

💡 Responsibilities

Design, build, evaluate, deploy and iterate on scalable Machine Learning systems
Understand the Machine Learning stack at Apollo and continuously improve it
Build systems that help Apollo personalize their users’ experience
Evaluate the performance of machine learning systems against business objectives
Develop and maintain scalable data pipelines that power our algorithms
Implement automated monitoring, alerting, self-healing (restartable/graceful failures) features while productionizing data & ML workflows
Write unit/integration tests and contribute to engineering wiki

Python SQL Apache Airflow Cloud Computing Data Analysis Keras Machine Learning MLFlow Numpy PyTorch Algorithms REST API Tensorflow Software Engineering

Posted 2 days ago

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🔥 Principal Machine Learning Engineer - Large Scale Embedding - (Remote - US)

Posted 3 days ago

📍 United States

🔍 Software Development

🏢 Company: Jobgether👥 11-50💰 $1,493,585 Seed about 2 years agoInternet

🔧 Requirements

15+ years of technical leadership experience in machine learning and AI.
Proven ability to lead ML initiatives and communicate complex ideas effectively to cross-functional teams.
Expertise in Graph Neural Networks, collaborative filtering, knowledge graphs, and recommendation systems.
Strong coding proficiency in Python, with experience in ML frameworks like PyTorch Geometric, DGL, TensorFlow, and scikit-learn.
Solid understanding of ML infrastructure components and libraries for efficient distributed training and inference.

💡 Responsibilities

Lead the design and architecture of multi-entity embedding generation using GNN and transformers.
Define the technical roadmap, working with cross-functional partners to align execution plans.
Develop and optimize large-scale graph-based machine learning pipelines for recommendation systems.
Ensure scalable and efficient architectures for processing complex, interconnected data.
Collaborate with internal teams to improve relevance metrics and extend the use of models in upstream functions.
Mentor and support the growth of your team while contributing to overall product strategy.

Python Machine Learning MLFlow PyTorch Algorithms Data Structures Tensorflow Data modeling

Posted 3 days ago

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🔥 Staff Machine Learning Engineer, Inclusive AI

Posted 3 days ago

📍 United States

💸 233302.0 - 480328.0 USD per year

🔍 Software Development

🔧 Requirements

Experienced Engineer with production experience in ML and responsible technology (fairness, diversity, equity) deployments in production systems.
Familiarity with state of the art ML approaches, especially within the Search and RecSys space, such as transformer based architectures, n-tower architectures, LLMs, etc.
Hands-on experience building, deploying, and measuring ML Fairness at a very large scale. Successful candidates in this role need to be able to bridge state of the art approaches to real world impact.
Some experience in leadership roles where the candidate has been able to define a vision, strategy and plans, with concrete OKRs and execute on them to deliver solutions in production that have a positive impact for users.
8+ years working experience in the engineering teams that build large-scale ML-driven user-facing products.
3+ years experience leading cross-team engineering efforts.
MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences, related field, or equivalent experience.
Experience in working on backend and ML systems for large-scale user-facing products, and have a good understanding of how they all work.
Experience in closely collaborating with other engineering teams to ship ML technologies to improve fairness and reduce bias for recommendation, content understanding, and ranking systems at scale.

💡 Responsibilities

Lead projects in the responsible AI frontier, to identify, avoid, and mitigate bias across a wide range of ML applications at Pinterest including generative AI.
Collaborate with other engineering teams (infra. user modeling, content understanding) to leverage their platforms and signals and work with them to collaborate on the adoption and evaluation of Inclusive AI and ML Fairness tooling across Pinterest.
Mentor junior engineers on the Inclusive AI team and across the company on the Inclusive AI / ML Fairness space.
Work with the team and senior leaders at the company to define and drive technical strategy in this area.

AWS Backend Development Leadership Python Software Development SQL Artificial Intelligence Cloud Computing Data Analysis Image Processing Keras Machine Learning MLFlow Numpy PyTorch Cross-functional Team Leadership Algorithms Data Structures REST API Tensorflow Mentoring

Posted 3 days ago

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🔥 Engineering Manager, Gen AI

Posted 3 days ago

📍 United States

🧭 Full-Time

🔍 Software Development

🏢 Company: Rad AI👥 101-250💰 $60,000,000 Series C about 2 months agoArtificial Intelligence (AI)Enterprise Software Health Care

🔧 Requirements

6+ years of experience in software engineering, with at least 3+ years focusing on ML infrastructure
2+ years of experience leading technical teams
Working knowledge of advanced model customization and fine-tuning methodologies
Experience deploying and operating production ML systems at scale
Proficiency with Python and at least one infrastructure-as-code tool (Terraform, CloudFormation, etc.)
Strong communication skills with the ability to translate complex technical concepts across teams
Bachelor's degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience)

💡 Responsibilities

Lead and mentor a growing team of Gen AI engineers, helping them develop professionally while tackling healthcare's most challenging AI problems
Pioneer new approaches to healthcare-specific LLM deployment that balance clinical accuracy, performance, and regulatory requirements
Define and execute the long-term Gen AI engineering strategy, balancing performance, cost, and reliability across healthcare AI applications
Drive innovative training and inference architectures that can scale to support thousands of radiologists simultaneously
Collaborate with radiologists and ML researchers to translate clinical insights into technical solutions that meaningfully improve patient care
Establish technical partnerships with leading AI infrastructure providers to optimize our unique healthcare AI compute requirements
Champion a culture of technical excellence, continuous learning, and ethical AI development

AWS Leadership Python SQL Artificial Intelligence Cloud Computing Kubernetes Machine Learning MLFlow People Management Algorithms Data Structures REST API Communication Skills Mentoring Terraform Team management Software Engineering Data analytics

Posted 3 days ago

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🔥 Senior ML/NLU Engineer - Solventum

Posted 3 days ago

📍 United States

💸 119076.0 - 145537.0 USD per year

🔍 Software Development

🔧 Requirements

Five (5) years of software development experience using one or more of the following: Java or Python
Two (2) years of experience with containerization technology such as Docker, Kubernetes or AWS ECS

💡 Responsibilities

Design, develop, and maintain scalable cloud-based ML systems, ensuring reliability and performance in production environments.
Integrate ML systems into existing NLU pipelines to enhance functionality and accuracy.
Collaborate closely with Clinical Subject Matter Experts, Application Engineers, and Product Teams to support the end-to-end execution of ML-based solutions.

Docker Python Software Development SQL Agile Git Java Kubernetes Machine Learning MLFlow PyTorch Data science Tensorflow RESTful APIs Software Engineering

Posted 3 days ago

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🔥 Staff Technical Enablement Specialist

Posted 5 days ago

📍 United States

💸 123000.0 - 235900.0 USD per year

🔍 Data/AI

🏢 Company: Databricks👥 1001-5000💰 $684,559,082 Series I over 1 year agoArtificial Intelligence (AI)Machine Learning Analytics Information Technology

🔧 Requirements

7+ years of experience in technical pre-sales, technical enablement, technical program management, or consulting with a focus on data, AI, or cloud technologies.
Experience building, delivering, and scaling technical enablement programs for highly skilled technical teams.
Proven ability to create, manage, and execute large-scale enablement programs, balancing technical rigor with structured program management.
Exceptional communication and presentation skills, with the ability to engage technical and executive audiences.
Strong stakeholder management and collaboration skills, with the ability to align multiple teams toward a common goal.
Experience in technical pre-sales roles, building proofs-of-concept, or implementing technical solutions for customers (Preferred)
Databricks certification or experience with Apache Spark™, MLflow, Delta Lake, and other open-source technologies (Preferred)

💡 Responsibilities

Design, implement, and scale enablement solutions that foster domain specialization, hands-on expertise, and technical mastery.
Introduce innovative multi-signal validation methods that assess expertise through real-world application and structured learning.
Facilitate enablement sessions, workshops, and hands-on activities that reinforce applied problem-solving and deep technical skills.
Develop and maintain technical content, including reference architectures, solution guides, and POC templates.
Measure impact and iterate on enablement programs, leveraging feedback and performance data to drive improvements.
Collaborate with technical field teams, enablement leaders, and stakeholders to continuously refine and scale high-impact training programs.
Drive adoption of enablement programs and strategies among senior leaders by proposing solutions that align with business priorities, address key challenges, and incorporate industry trends.

AWS Project Management Python SQL Cloud Computing Data Analysis ETL GCP Machine Learning MLFlow Apache Kafka Azure Data engineering REST API Communication Skills Collaboration CI/CD Problem Solving Mentoring Presentation skills Training Data visualization Stakeholder management Strategic thinking Data modeling Customer Success

Posted 5 days ago

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🔥 🧠 Machine Learning Engineer – Remote from LATAM 📍

Posted 6 days ago

📍 Lima, PE, Mexico City, MX, Buenos Aires, AR, Bogotá, CO

🧭 Full-Time

🔍 Software Development

🏢 Company: Tekton Labs👥 51-100 Consulting Information Technology Software

🔧 Requirements

3+ years of experience in machine learning model development.
Expertise in Python, SQL, and PySpark.
Strong knowledge of TensorFlow, PyTorch, Hugging Face, OpenAI API.
Experience with MLOps tools (MLflow, DVC, Kubernetes, Terraform, GitHub Actions).
Hands-on experience with cloud AI services (Azure Cognitive Services, Azure Machine Learning).
Proficiency in data processing frameworks (Pandas, Spark, Databricks, Azure Data Factory).

💡 Responsibilities

Develop AI models for document analysis, NLP, and LLM-based applications.
Train, test, and fine-tune models using TensorFlow, PyTorch, Hugging Face.
Implement feature engineering and vector databases for efficient text retrieval.
Automate the entire ML lifecycle (training, validation, deployment) using MLflow, GitHub Actions, Kubernetes.
Deploy AI models as serverless APIs using Azure Functions & Kubernetes (AKS).
Implement model versioning, monitoring (Azure Monitor), and drift detection.
Optimize AI workloads with Spark, Databricks, and Delta Lake.
Design scalable data ingestion pipelines using Azure Data Factory, Prefect, Apache Airflow.
Ensure efficient querying & retrieval of large-scale datasets for AI applications.

Python SQL Cloud Computing Kubernetes Machine Learning MLFlow PyTorch Spark Tensorflow

Posted 6 days ago

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