- 3+ years in artificial intelligence data science, machine learning, or related fields.
- Proficiency in Python, CUDA C/C++, and machine learning libraries like PyTorch and TensorRT.
- Experience with Text-to-Image models such as Stable Diffusion.
- Experience with Docker containers and Triton Inference Server.
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Careers
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Full Time
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- Experience with a variety of programming languages and frameworks, including Python, R, and Scala.
- 8+ years of experience in machine learning and data science
- Lead and mentor a team of machine learning and data science engineers
- Develop and deploy machine learning models
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Careers
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Full Time
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- Strong quantitative skillset with experience in statistics and linear algebra.
- A natural inclination toward solving complex problems
- Knowledge/experience with statistical programming languages process data and gain insights from it
- Knowledge of machine learning techniques including decision-tree learning, clustering, artificial neural networks, etc., and their pros and cons
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Careers
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Full Time
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- Educational background in Computer Science, Statistics, Mathematics, or a related quantitative field
- With 2 years of professional industry experience in Machine Learning Engineering
- Expertise in machine learning, deep learning, ethical data science, natural language processing, and statistical modeling
- Proficiency in ML/DNN in scikit, TensorFlow, PyTorch, or similar frameworks.
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Careers
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Full Time
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- Advanced degree in computer science, math, statistics, or a related degree
- Extensive knowledge of machine learning frameworks, libraries, data structures, data modeling, and software architecture
- Ability to design and implement cloud-based solutions and scalable data pipelines
- Strong analytical, problem-solving and teamwork skills
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Careers
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Full Time
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- Bachelors or masters degree in computer science or related field
- 5+ years of experience in Software development with a strong background on ML/DL
- Proven experience on image processing libraries(OpenCV, Scipy , dlib )
- Expertise in machine learning frameworks/libraries (TensorFlow, PyTorch and scikit-learn)
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Careers
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Full Time
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- Apply fundamental data science and AI/ML technologies (e.g. Python Sklearn)
- Collaborate and work with AI team to execute the assigned project / tasks.
- Present project plans and progress regularly to team (incl meaningful KPIs) under the guidance of his / her manager.
- High personal affinity to IT topics, namely data science, machine learning and / or artificial intelligence.
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Careers
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Full Time
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- Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
- Proven experience in developing AI/ML solutions with Azure OpenAI.
- In-depth knowledge of Gen AI technologies and applications.
- Working experience with the ServiceNow platform.
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Careers
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Full Time
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- Develop back end component
- Good Analytical and Design skills like Django, flask, Server-side programming
- Able to use python packages like ( NumPy, MatPloid, Scikit Learn)
- Skills: Core Python, Web frame works, Machine Learning and AI, Django
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Careers
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Full Time
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- Technology: Data Science, Deep Learning, ML, Data Analytics, Data Visualization.
- Other tools and Packages: Matplotlib, Seaborn, MySQL-Python, Scikit-Learn, Flask
- Identifying design alternatives, questions, and tradeoffs
- Identifying gaps, problems, and weaknesses in software solutions by performing code and design reviews
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Careers
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Full Time
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- The ideal candidate will be able to apply predictive models and must possess strong software skills, expert mathematical skills, and strong analytical skills
- Experience on Anaconda Enterprise platform.
- Experience is build deploy machine-learning models at scale on Kubernetes or equivalent.
- Experience in building distributed deep learning models leveraging GPUs.
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Full Time
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- Bachelors or Masters degree in Computer Science, Machine Learning, or a related field
- 2+ years of experience as a machine learning engineer, with a strong focus on video surveillance systems and threat prediction
- Strong coding skills, including proficiency in Python and at least one machine learning framework (e.g. TensorFlow, PyTorch)
- Experience with data preprocessing, feature engineering, and model selection
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Careers
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Full Time
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- Deep familiarity with internals of at least a few Machine Learning algorithms and concepts.
- Experience with Python and a Deep Learning framework like Pytorch/Tensorflow.
- Knowledge of basic Data Structures and Algorithms
- Understand customers needs and innovate and use cutting edge Machine Learning techniques to build data-driven solutions.
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Careers
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Full Time
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- Significant experience with Python at a SaaS company, or ability to quickly learn industrial Python
- Familiarity with modern machine learning and natural language processing techniques and frameworks
- Ability to work and prioritize autonomously in a fast-moving, distributed work environment
- Ability to design infrastructure, standards, and code interfaces that garner wide organic adoption among a group of elite software engineers
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Careers
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Full Time
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- Excellent problem solving skills, ability to deconstruct and formulate solutions from first-principles
- Strong proficiency in Python, good knowledge of SQL, hands on Tensorflow
- Leverage your strong ML/DL/Statistics background to build new and next generation of ML meth
- Develop prototypes, proof of concepts, algorithms, predictive models and custom analysis
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Careers
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Full Time
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- Attentive to our customers needs and strive to deliver a seamless and delightful customer experience
- Able to up-level the team by sharing knowledge and best practices with the engineering team
- Able to prioritise for impact and move fast to deliver experiments and features to achieve customer value
- Organised and able to effectively plan and breakdown large projects into smaller tasks that are easier to estimate and deliver.
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Careers
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Full Time
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- Perform statistical analysis and fine-tuning using test results
- Develop machine learning applications according to requirements
- Understanding of data structures, data modeling and software architecture
- Deep knowledge of math, probability, statistics and algorithms
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Careers
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Full Time
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- 2 – 5 years work experience and minimum of 1 year experience in Machine learning and AI
- AI/Deep Learning Engineer with expertise in image processing, neural networks, and deep learning frameworks.
- Looking for NLP Engineer experienced with Microsoft Azure ML, chat bot frameworks, and open-source NLP libraries
- Required Speech Recognition Engineer with knowledge of Wavenet, deep speech libraries, machine learning, linguistic phonetics, and audio processing.
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Careers
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Full Time
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- Design and develop capabilities related to Virtual Assistants, search and recommendation engines for investment domain as well as enterprise solutions with LLMs
- Develop AI based solution to Automate data extraction and processing of financial data
- 4+ years of experience in Open AI, LLM, ChatGPT, Python, Tensorflow.
- Experience with Decision Tree, Random Forest classification and NLP based Tokenization.
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Careers
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Full Time
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- Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probability
- Exploring, analyzing and visualizing data to gain an understanding of it.
- Experience in Data Wrangling and PySpark
- Experience with containerizing applications using Docker
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Careers
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Full Time
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- Develop and implement groundbreaking ML models to drive business growth.
- Collaborate with Product Owners to translate business needs into machine learning problem statements.
- Partner with DevOps, MLOps, and Data Engineering to deploy and monitor ML models in production.
- Spread Machine Learning knowledge across teams and mentor colleagues.
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Careers
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Full Time
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- Build and maintain large-scale ML infrastructure and pipelines in AWS Sagemaker.
- Optimize ML models in efficiency, time, and accuracy through improved infrastructure and model selection.
- Best-in-class skills in Python
- Multiple years of experience managing machine learning projects using AWS Sagemaker infrastructure
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Careers
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Full Time
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- Design, train and improve upon cutting-edge models
- Develop new techniques to train and serve models safer, better, and faster
- Proficiency with optimized serving frameworks such as TF-Serving, Triton, Pytorch Serving
- Model optimization frameworks such as TensorRT, JAX, DeepSpeed, FasterTransformers, and XLA/MLIR
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Careers
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Full Time
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- Hands-on Deep Learning and NLP application experience
- Knowledge of Analytical/OLAP/Columnar, Hadoop Ecosystem and NoSQL databases
- Understand and analyze requirements requiring Machine Learning Models from Product Owners, Customers, and Other Stakeholders
- Augment Enterprise data with publicly available datasets to enrich models features
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Careers
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Full Time
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- Work with engineers, product managers, and data scientists to develop solutions that empower customers to make data-driven decisions quickly and confidently.
- Partner with cross-functional teams to create new features for the Agiloft platform.
- At least 3 years of experience working in data science teams.
- Fluent in Python
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Careers
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Full Time
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- Defining data augmentation pipelines
- Training models and tuning their hyper-parameters
- Analyzing the errors of the model and designing strategies to overcome them
- Deploying models to production
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Careers
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Full Time
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- 3+ years of coding experience in building backend solutions in python.
- Solidcomputer sciencefundamentals including data structureand algorithm
- Perform code and design reviews.
- Demonstrate ownership and commitment.
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Careers
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Full Time
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- Write efficient and well-organized software to ship products in an iterative, continual-release environment.
- Contribute to and promote good software engineering practices across the team
- Knowledge sharing with the team to adopt best practices.
- Actively contribute to and re-use community best practices.
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Careers
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Full Time
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- Knowledge of machine learning libraries Tensorflow, Jax, Keras, Scikit-learn, PyTorch.
- Excellent mathematical skills and background
- Designing and programming machine learning methods and integrating them into our ML framework/pipeline.
- Evaluating and validating the analysis with statistical methods.
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Careers
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Full Time
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- Develop predictive models using supervised and unsupervised machine learning/deep learning
- Build models for legal predictive analytics, natural language understanding, conversational AI, robotic accounting, forecasting and anomaly detection
- Experience with deep learning frameworks such as TensorFlow, Keras, PyTorch
- Experience in applying deep learning to NLP
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Careers
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Full Time
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- Study and transform data science prototypes
- Design machine learning systems
- Understanding of data structures, data modeling, and software
- architecture
- Deep knowledge of maths, probability, statistics, and algorithms
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Careers
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Full Time
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- Should be able to Study and transform data science prototypes
- Research and implement appropriate ML algorithms.
- Experience in NLP algorithm of classification, word embedding, word2vec etc.
- Experience or knowledge on Python and Java.
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Careers
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Full Time
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- Perform in-depth data analysis and transformation for machine learning models.
- Source, curate, and integrate external datasets for model training and evaluation.
- Strong understanding of machine learning concepts and their application to data engineering.
- Expertise in programming languages such as Python, SQL, and Java.
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Careers
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Full Time
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- Design and execute proof-of-concept projects that can demonstrate business value and build confidence with clients.
- Designing and delivering data visualizations that utilize the ML models to generate insights
- Knowledge of deep Learning (CNNs/RNNs, Reinforcement Learning, VAEs/GANs)
- Knowledge of Machine Learning (Regression, Random Forests, SVMs K-means, ensemble methods)
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Careers
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Full Time
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- Experience in developing ML infrastructure in the Cloud using AWS Sagemaker.
- Experience working with machine learning models with respect to deployment, inference, tuning, and measurement required.
- Strong knowledge of developing highly scalable distributed systems using Open-source technologies.
- Solid experience in Agile methodologies (Kanban and SCRUM
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Careers
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Full Time
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- Build outstanding domain-focused data solutions with internal teams, business analysts, and stakeholders.
- Apply AI/ML practices and standards to develop robust and maintainable solutions.
- Motivated by a fast-paced, service-oriented environment and interacting directly with clients on new features for future product releases
- A natural problem-solver and intellectually curious across a breadth of industries and topics
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Careers
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Full Time
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- Develop and deploy machine learning models for various applications
- Collaborate with cross-functional teams to define business problems and formulate appropriate experiments.
- Lead the design, execution, and analysis of experiments to optimize various aspects of our business.
- Evaluate the effectiveness and impact of machine learning models and experiments.
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Careers
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Full Time
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- Frame ML / AI use cases that can improve the company’s product
- Implement and develop ML / AI / Data driven rule based algorithms as software items
- Knowledge of basic Machine Learning / Deep Learning / AI algorithms and ability to implement them
- Good understanding of SDLC
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Careers
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Full Time
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- Works on complex systems critical to company’s current and future operations
- Debugs production issues across services and multiple levels of the stack
- Participates in the testing process through test review and analysis, test witnessing, and certification of software
- Assists with shaping architectural visions and long-term roadmaps for the organization
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Careers
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Full Time
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- Verify data quality, and / or ensure it via data cleaning
- Define validation strategies
- Train models and tune their hyperparameters
- Find available datasets online that could be used for training
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Careers
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Full Time
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- Drive the evolution of Data & Services products/platforms with an impact-focused on data science and engineering
- Clean and structured data sets fed to downstream analytics
- Escalate technical errors or bugs detected in project work
- Maintain awareness of relevant technical and product trends through self-learning/study, training classes, and job shadowing.
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Careers
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Full Time
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- Hands-on knowledge of data formats, data extraction, loading, wrangling, transformation, pre-processing and analysis.
- Thorough understanding of data-modeling and machine-learning concepts
- Complete understanding and ability to apply, implement and adapt standard implementations of machine learning algorithms
- Good understanding and ability to apply and adapt Neural Networks and Deep Learning, including common high-level Deep Learning architectures like CNNs and RNNs
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Careers
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Full Time
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- Build tools and infrastructure to democratize ML
- Productionizing ML models in collaboration with the Data Science and other Engineering teams.
- 2-3 years of relevant software engineering experience with data intensive applications
- Good understanding of spark and sql and prior experience with writing backend apis
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Careers
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Full Time
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- Train models to provide different insights, mainly from text but also other media such as Audio and Video
- Validate the models trained. Fine-tune & optimise as necessary
- Deploy validated models, wrapped in a Flask server as a REST API or containerize in docker containers
- Build preprocessing pipelines for the models that are bieng served as a REST API
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Careers
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Full Time
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- Design and build scalable ML pipelines to serve Machine Learning models at scale.
- Perform ad-hoc analysis and present results in a clear manner to a wide audience and key stakeholders.
- Design experiments, test hypotheses, and build models.
- Conduct advanced data analysis and highly complex designs algorithms.
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Careers
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Full Time
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- Build and deploy scalable machine learning systems and solutions.
- Evaluate and optimize machine learning models to ensure accuracy and performance.
- Strong programming skills in Python, R, or similar languages.
- Proficiency in working with large datasets and data manipulation.
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Careers
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Full Time
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- Research and implement appropriate ML algorithms and tools
- Develop machine learning applications according to requirements
- Understanding of data structures, data modeling and software architecture
- Deep knowledge of math, probability, statistics and algorithms
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Careers
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Full Time
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- Scientific expertise and real-world experience in deep learning.
- Experience in applying machine learning techniques to real-world problems in a production environment/ AWS/ Azure cloud
- Experience on Anaconda Enterprise platform.
- Experience is build & deploy machine-learning models at scale on Kubernetes or equivalent.
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Careers
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Full Time
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- Demonstrated experience in Machine Learning, Deep Learning, and advanced Predictive Modeling techniques.
- Statistical Model Development and embedded deployment
- Expert skills in software architecture and good understanding of ML accelerators
- Relevant practical experience with selected ML tech stacks, tool chains, data collection and simulation
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Careers
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Full Time
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- Designing Machine Learning systems and self-running Artificial Intelligence (AI) software to automate predictive models
- Research and implement appropriate ML algorithms and tools
- Develop Machine Learning applications according to requirements
- Select appropriate datasets and data representation methods
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Careers
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Full Time
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