Ai Engineer Jobs with Salary ≥ 200k

Summary: Seeking a ML engineer to optimize pricing models and infrastructure. Requires Python, AWS, and expertise in machine learning.

Skills: python, scikit-learn, xgboost, aws, sql

Summary: Join a high-growth company as a Backend/ML Engineer using Python, LLMs, and Data Extraction to enhance our ML engine and automate workflows.

Skills: python, llms, data extraction, next.js

Summary: Lead ML/AI strategy, developing RL agents for financial services. Requires expertise in machine learning, AWS, and Ruby.

Skills: ruby, aws, python

Summary: Candidates should have a Bachelor’s or Master’s degree in Computer Science or a related field with over 8 years of frontend development experience. Expertise in modern JavaScript frameworks and strong

Skills: frontend development, react, angular, vue.js, typescript, javascript, html5, css3, sass, less, redux, git, ci/cd, docker, kubernetes, aws, gcp

Summary: Candidates should have a Master's degree or higher in a quantitative field and at least 3 years of experience managing data scientists. A strong understanding of data science fundamentals and experien

Skills: data science, machine learning, statistical analysis, data preparation, root cause investigation, sql, pandas, r, airflow, bash, linux/unix, git, data governance, analytical frameworks, mentoring, collaboration

Summary: Candidates should have a Master's degree with 6+ years of experience or a Ph.D. with 3+ years in Data Science or related fields. Strong proficiency in Python, SQL, and ML libraries, along with experie

Skills: machine learning, ai, data science, python, sql, statistical analysis, time series forecasting, regression modeling, classification techniques, cloud platforms, data pipelines, model deployment, business acumen, communication, problem solving, collaboration

Summary: Candidates must have a Bachelor’s degree in a relevant field and at least 5 years of professional experience in software engineering, ideally in a full stack role. Strong backend development experienc

Skills: 3d computer vision, robotics, software engineering, backend development, 3d reconstruction, point clouds, meshes, visualization, react, three.js, webgl, lidar, 3d mapping, robotics perception, nvidia omniverse, unity, ar/vr systems

Summary: An advanced degree in a related field and 7+ years of experience in data science or machine learning are required. Candidates should have a deep understanding of machine learning algorithms and experi

Skills: data science, machine learning, ai, python, data visualization, statistical methods, model deployment, cloud data warehouses, mlops, kubernetes, tensorflow, pytorch, continuous improvement, mentoring, collaboration, communication

Summary: Candidates should have 6+ years of experience in data science or machine learning, with expertise in time-series data and deep learning frameworks. Proficiency in Python and SQL, along with a strong u

Skills: data science, machine learning, python, sql, deep learning, aws, signal processing, causal inference, experimental design, time-series data, algorithm development, mentoring, data wrangling, model deployment, embedded systems, biomechanics

Summary: Candidates should have 6+ years of experience in data science or machine learning, with expertise in time-series data and deep learning frameworks. Proficiency in Python and SQL, along with a strong u

Skills: data science, machine learning, python, sql, deep learning, aws, time-series data, signal processing, causal inference, algorithm development, mentoring, data wrangling, experimental design, mlops, embedded systems, biomechanics

Summary: Candidates should have 6+ years of experience in data science or machine learning, with expertise in time-series data and proficiency in Python and SQL. Familiarity with deep learning frameworks and c

Skills: data science, machine learning, python, sql, deep learning, aws, time-series data, signal processing, causal inference, experimental design, mentoring, algorithm development, mlops, wearable technology, biometrics, kinesiology

Summary: Bachelor's or Master's degree in a related field is required, with 5+ years of industry experience in AI and Machine Learning. Experience with LLMs, Generative AI, and advanced techniques is preferred

Skills: ai engineering, machine learning, deep learning, generative ai, prompt engineering, conversational ai, data analysis, python, sql, healthcare experience, voice ai, language models, predictive ai, behavior change, cross-functional collaboration, metabolic health

Summary: Advanced programming expertise in Python and SQL is required, along with deep experience in deploying machine learning models in production. A strong foundation in experimentation frameworks and ML Op

Skills: python, sql, machine learning, deep learning, model evaluation, ml ops, system design, collaboration, mentorship, technical leadership, experimentation, model optimization, ai systems, data science, engineering craftsmanship, feedback loops

Summary: Candidates should have strong experience in product analytics or a similar data-focused role, with expertise in translating complex data into actionable insights. A degree in a related analytical fiel

Skills: product analytics, data analysis, sql, a/b testing, machine learning, statistical analysis, r, python, sas, cohort analysis, time series analysis, funnel analysis, data-driven decision making, communication skills, exploratory analysis, product strategy

Summary: Candidates should have 8+ years in software engineering or data science, with 3+ years in Gen AI or LLM-based systems. Strong programming skills and experience with cloud platforms are essential.

Skills: software engineering, data science, gen ai, llm-based systems, typescript, python, rest api development, containerization, cloud platforms, ai governance, model safety, prompt engineering, team leadership, collaboration, problem-solving

Summary: A Master's degree in a quantitative discipline with two years of experience, or a Bachelor's degree with five years of experience is required. Special skills in various programming languages and data

Skills: python, sql, spark, scikit-learn, causal inference, natural language processing, tensorflow, pytorch, a/b test, data visualization

Summary: Candidates must have 3+ years of hands-on experience in machine learning and a bachelor's degree or higher in a related field. They should possess excellent knowledge of advanced methods, experience w

Skills: machine learning, artificial intelligence, statistical data analytics, data analysis, large language models, software development, rapid prototyping, gcp, aws, health care data analytics, r, python, data mining algorithms, mathematical modeling, communication skills, problem solving

Summary: Candidates should have 10+ years of professional experience in data science or analytics, with at least 3 years in a leadership role focused on marketing analytics. Deep expertise in marketing attribu

Skills: data science, analytics, marketing attribution, customer lifetime value, cohort analysis, marketing performance optimization, python, sql, r, bayesian hierarchical modeling, ridge regression, statistical modeling, leadership, mentoring, communication, business acumen

Summary: Candidates should have 10+ years of experience in data science or analytics, with at least 3 years in a leadership role. Deep expertise in experimental design and a proven track record of building exp

Skills: data science, analytics, python, sql, statistical modeling, a/b testing, causal inference, user behavior modeling, funnel analysis, cohort analysis, product engagement metrics, mentoring, experiment design, statistical rigor, communication skills, experimentation techniques

Summary: Candidates should have a strong understanding of statistical concepts and experience in exploratory analysis. A proven track record of owning complex data projects and proficiency in SQL and Python is

Skills: data storytelling, statistical analysis, machine learning, sql, python, data visualization, causal inference, exploratory analysis, mentorship, ai tools, big data, cloud environment, predictive analytics, experimental design, optimization, data engineering

Summary: Candidates must have a bachelor's degree in a related field, with advanced degrees preferred, and significant experience in AI/ML. Preferred qualifications include experience in deploying machine lear

Skills: ai/ml platform strategy, technical architecture, collaboration, machine learning solutions, python programming, model productionization, cicd automation, nlp/nlg, generative ai, cloud platforms, technical communication, mentorship, architecture practices, data science collaboration, stakeholder communication, algorithm selection, model hyperparameter tuning

Summary: Candidates must have a bachelor's degree in a related field, with advanced degrees preferred. A minimum of 10 years of experience is required, or a master's degree with 7+ years, or a Ph.D. with 2+ ye

Skills: ai/ml platform strategy, technical architecture, collaboration, machine learning solutions, python programming, model productionization, cicd automation, nlp/nlg, generative ai, cloud platforms, technical communication, mentorship, architecture practices, data science collaboration, stakeholder engagement, algorithm selection, model hyperparameter tuning

Summary: Candidates should have a bachelor's or master's degree in a relevant field and at least 7 years of experience in AI/ML model deployment. Strong skills in Python, cloud platforms, and natural language

Skills: data science, ai applications, machine learning, natural language processing, generative ai, cloud platforms, python, statistical principles, aiops, model deployment, vector databases, knowledge graphs, agile methodologies, problem solving, performance tuning, architecture design

Summary: Bachelor’s degree in a related field and 4+ years of industry experience as a Data Scientist or similar role are required. Proven track record in designing and deploying recommendation engines and str

Skills: data science, machine learning, recommendation engines, python, data engineering, collaboration, technical leadership, data visualization, automation tools, personalization, stakeholder engagement, project management, advanced analytics, user engagement, business problem solving, innovation

Summary: Candidates should have a PhD or Master's degree in a related field with relevant work experience. Experience with machine learning model deployment and programming in Python is essential.

Skills: machine learning, signal processing, data analysis, python, c/c++, time-series analysis, data collection, statistical evaluation, cross-functional collaboration, exploratory research, algorithm development, data cleaning, model building, model tuning, communication skills, problem solving