Data Science & Machine Learning Jobs

We are seeking an experienced Machine Learning Engineer who will contribute to all phases of the machine learning algorithm development and implementation. Have at least one year of hands-on experience applying/developing machine learning algorithms using common libraries such as PyTorch or TensorFlow. Have strong foundational knowledge in at least two of the following: classification, clustering, deep learning, reinforcement learning, computer vision ( object detection and visual tracking), multi-agent systems, or optimization/control theory. Have experience with modeling and simulation platforms such as AFSIM, Blender, Unity, or Unreal. Have proficiency in one or more of the following technology areas: multi-agent reinforcement learning, geometric deep learning, multi-modal sensor fusion, agentic AI.

Design, develop, integrate and deploy AI -driven solutions to extract insights from complex, high-volume datasets offering expertise in AI/ML, Large Language Models (LLM), Generative AL, and/or Natural Language Processing (NLP).. Apply statistical and deep learning techniques to support predictive modeling, classification, natural language processing, and pattern recognition.. Proficiency in Python, R, and/or Java for machine learning, data processing, and algorithm development, with a strong focus on building robust, scalable solutions for operational field deployment. Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, and scikit-learn for building and deploying predictive models. Bachelor's or Advanced degree or equivalent experience in AI ML (Artificial Intelligence, Machine Learning ), Data Science, Math, or like technical fields

The goal of a Machine Learning Engineer at Scale is to bring techniques in the fields of computer vision, deep learning and deep reinforcement learning, or natural language processing into a production environment to improve Scale's products and customer experience.. Extensive experience using computer vision, deep learning and deep reinforcement Learning, or natural language processing in a production environment. Strong programing skills in Python or Javascript, experience in Tensorflow or PyTorch. Graduate degree in Computer Science, Machine Learning or Artificial Intelligence specialization. AWS or GCP) and developing machine learning models in a cloud environment

Our team has a mix of highly proficient people from multiple fields such as Machine Learning, Data Science, Software Engineering, Operations, and Big Data Analytics. Our Senior Researchers tackle such diverse and challenging projects on Image Quality scoring; Automatic Taxonomy Improvement; Entity Resolution of rich, hierarchical Entities; and Conflict Resolution between different representations of the same Entity. Data Strategy: Partner with the operations and data teams to ensure access to high-quality labeled data, and proactively shape data acquisition strategies where needed. Deep understanding of modern ML approaches including classification, regression, NLP, clustering, deep learning, and/or reinforcement learning. Proficiency with big data processing frameworks such as Hadoop, Spark, and SQL.

The Essential Skills Every Machine Learning Engineer Should Learn. So what does it take to thrive as a machine learning engineer today?. Fluency with OOP principles like inheritance, encapsulation, and polymorphism enables cleaner system design and code reuse.. Experience with tools like Apache Spark, Kafka, and Hadoop allows for pre-processing large datasets for model training and deployment.. Dean, part of the nomadic human tribe, believes a boat anchored ashore is a tragedy, as it denies the boat its purpose.

Position Summary: The role will lead and mentor a team of data scientists and analysts responsible for delivering machine learning, artificial intelligence, and advanced analytics projects. Minimum 5 years of experience in data science, machine learning, statistical modeling, or optimization in an industry or research setting. Experience with big data technologies such as Hadoop, Spark, and cloud platforms (AWS, GCP, Azure) is a plus. Familiarity with machine learning frameworks, such as TensorFlow, PyTorch, or scikit-learn. Advanced proficiency in Python, SQL, PySpark, or similar analytic tools.

As a member of our team, youll have the opportunity to work with a team of highly skilled engineers and scientists to bring new experiences to Apple Maps. This position requires a self-motivated engineer/scientist with strong technical and interpersonal skills to handle responsibilities including:We are looking for a Machine Learning Scientist / Engineer who will be converting abstract, high-level goals into concrete, measurable requirements. Deep learning, computer vision, topic modeling, graph algorithms are pluses.. Strong programming skills and hands-on experience with machine learning tools and libraries such as PyTorch, TensorFlow, Scikit-learn; programming skills in Scala, Python, Java, or C. Knowledge of Spark, Apache Hadoop, Solr/Lucene, Cassandra, and related big data technologies.. Masters or PhD degree in Machine Learning, Computer Science, Electrical/Computer Engineering, or related fields.

This individual will partner closely with senior leadership, product, operations, growth, data engineering and data governance teams to operationalize insights, optimize business performance, and expand CAQH’s capabilities in artificial intelligence (AI), machine learning (ML), and decision science. Work closely with Data Engineering, Architecture, and Governance teams to ensure data science solutions are interoperable, secure, and aligned with CAQH’s enterprise data ecosystem. Proficiency in Python, R, SQL, Spark, and data science frameworks (e.g., scikit-learn, TensorFlow, PyTorch, XGBoost). Familiarity with data governance and compliance frameworks (e.g., HIPAA, HITRUST, GDPR). Bachelor’s degree in computer science, data science, statistics, applied mathematics, or a related field required.

Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows. 7+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role.. Data Engineering technologies (Ex: Spark, Hadoop, Kafka).. Data Science and Machine Learning technologies (Ex: pandas, scikit-learn, pytorch, Tensorflow).. More than 10,000 organizations worldwide including Comcast, Cond Nast, Grammarly, and over 50% of the Fortune 500 rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow.

Machine Learning Engineer. Proficiency in SageMaker, Glue, Lambda, EC2, EMR, Athena, Bedrock, and Redshift ML & AI. Experience with supervised/unsupervised learning, deep learning (CNNs, RNNs), and LLMs (e.g., GPT, BERT, RAG, fine-tuning, LLMOps). Strong in Python, SQL, PySpark; familiar with ML frameworks like Scikit-learn, TensorFlow, PyTorch. Skilled in CI/CD, model deployment using MLflow, FastAPI, Docker, and monitoring pipelines

5+ years of experience machine learning, AI or data science preferably in the banking or Finance sector. Strong Programming skills in Python, R or Scala with expertise in ML Libraries, such as TensorFlow, Pytorch, Scikit-learn. Experience in big data tech (Hadoop, Spark) SQL or No SQL database. Hands on experience with ML ops tools (Docker, Kubernetes, MLflow, Kubeflow, Airflow). Talent Acquisition Group – Strategic Recruitment Manager

Translate business needs from Sales, Marketing, Product, and Customer Success into data science solutions.. Strong skills in Python or R; SQL expertise.. Proficient with ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).. Experience with cloud ML tools (e.g., SageMaker, Vertex AI, Azure ML).. Exposure to NLP, LLMs, NLU, RAG, or other generative AI technologies.

Strong experience building data pipelines using Hadoop components Sqoop Hive SOLR MR Impala Spark Spark SQL HBase. Strong experience with REST API development using Python frameworks Django Flask, Fast API etc.). Strong experience building data pipelines using Hadoop components Sqoop, Hive, SOLR, MR, Impala, Spark, Spark SQL., HBase.. Strong experience with REST API development using Python frameworks (Django, Flask, Fast API etc.). Director of Talent Acquisition

Since 2010 we have helped Jobseekers stand out by ensuring only the best candidates with the requisite skillset go to the clients and get the attention that they need.. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists.. Basic understanding of foundational concepts and algorithms in statistics and machine learning, including NLP, linear/logistic regression, SVM, random forest, boosting, neural networks, dimensionality reduction, reinforcement learning, etc.. Basic Knowledge of machine learning frameworks and tools (e.g. Pandas, numpy, scikit-learn, TensorFlow, Pytorch, Keras, Huggingface). Basic Knowledge of probabilistic programming techniques and associated tools (e.g. Pyro, Stan, Tensorflow Probability, PyMC3), Bayesian inference and MCMC methods

+ Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks such as natural language processing (NLP), speech recognition and analytics, time-series predictions or recommendation systems.. + Solid background in NLP or speech recognition and analytics, personalization/recommendation and hands-on experience and solid understanding of machine learning and deep learning methods.. + Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas).. + Strong publication record in Natural Language Processing, Machine Learning, Deep Learning or Reinforcement Learning at major conferences or journals.. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

Come join Intuit as a Staff Machine Learning Engineer!. Knowledgeable with Data Science tools and frameworks (i.e. Python, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark). Knowledge of machine learning techniques (i.e. classification, regression, and clustering). Understand machine learning principles (training, validation, etc. Experience with integrating applications and platforms with cloud technologies (i.e. AWS and GCP)

We are looking for a Senior Machine Learning Engineer to join the growing AI and Machine Learning team at Strava. Have experience with exploratory data analysis and model prototyping, using languages such as Python or R and tools like Scikit learn, Pandas, Numpy, Pytorch, Tensorflow, Sagemaker.. Have built and worked on data pipelines using large scale data technologies (like Spark, Hadoop, EMR, SQL, Snowflake).. Have built backend production services on cloud environments like AWS, using languages like (but not limited to) Python, Ruby, Java, Scala, Go. Were backed by Sequoia Capital, TCV, Madrone Partners and Jackson Square Ventures, and were expanding in order to exceed the needs of our growing community of global athletes.

We are looking for a Senior Machine Learning Engineer to join the growing AI and Machine Learning team at Strava.. Have experience with exploratory data analysis and model prototyping, using languages such as Python or R and tools like Scikit learn, Pandas, Numpy, Pytorch, Tensorflow, Sagemaker. Have built and worked on data pipelines using large scale data technologies (like Spark, Hadoop, EMR, SQL, Snowflake). Have built backend production services on cloud environments like AWS, using languages like (but not limited to) Python, Ruby, Java, Scala, Go. Were backed by Sequoia Capital, TCV, Madrone Partners and Jackson Square Ventures, and were expanding in order to exceed the needs of our growing community of global athletes.

Job Title: Senior Machine Learning Engineer.. Were hiring a Machine Learning Engineer to join a fast-growing AI startup based in San Francisco , focused on transforming the way sales teams operate. Proficiency in Python, plus experience with libraries like TensorFlow, PyTorch, Keras, scikit-learn.. Strong knowledge of NLP, Deep Learning, Transformers, LLMs. Bachelor's or Masters degree in Computer Science, Machine Learning, Data Science, or related field

You will collaborate with cross-functional teams, working on innovative projects involving deep learning, natural language processing, computer vision, and reinforcement learning.. Cloud & Infrastructure : AWS, GCP, Azure, Docker, Kubernetes. : Apache Kafka, Apache Airflow, n8n. : Strong understanding of machine learning algorithms, deep learning models, NLP, and computer vision techniques.. : Experience in image recognition, pose estimation, facial recognition, or video-based tasks (OpenCV, MediaPipe).