- 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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- Design, build and maintain efficient, reusable, and reliable C++ code.
- Perform active research using Python to create AI models.
- Thorough knowledge of the standard library, STL containers, and algorithms.
- Good to have knowledge of SQL for MySQL, Complex Query, Stored Procedures, Triggers.
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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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- 2-4 years of experience as a Machine Learning Engineer, with a focus on generative AI models and graph neural networks.
- Proficiency in working with deep learning frameworks such as TensorFlow or PyTorch.
- Collaborate with cross-functional teams, including data scientists, software engineers, and domain experts, to define project goals and requirements.
- Apply expertise in graph neural networks to develop, optimize, and implement graph-based models such as Variational Graph Autoencoders (VGAE).
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Careers
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Full Time
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- Experience in a field associated with machine learning algorithms and frameworks
- Expertise with Deep Neural Network architectures like CNN, RNN etc.
- Expertise with AI framework like Pytorch, Tensorflow, Caffe, etc.
- Experience with standard machine learning Models such as RestNet, Transformer, SSD, BERT, DLRM and Reinforcement Learning.
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Careers
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Full Time
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- Proficiency in ML/DNN in scikit, TensorFlow, PyTorch, or similar frameworks.
- Proficiency in numerical and scientific libraries like numPy, scikit, and Pandas
- Excellent coding, documentation, version control, and testing skills in Python
- Strong data visualization skills
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Careers
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Full Time
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- Coding and programming languages, including Python, R, SQL, Java, and Scala.
- Extensive knowledge of machine learning frameworks, libraries, data structures, data modeling, and software architecture
- Build machine learning infrastructure and productionize models
- Automate feature extraction and machine learning workflows
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Careers
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Full Time
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- 10+ years doing data science work
- Experience using automation to re-train and deploy a range of ML models.
- Strong experience with machine learning technologies
- Strong understanding of cloud computing platforms
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Careers
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Full Time
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- Design and implement scalable data pipelines and infrastructure using Golang to support machine learning workflows.
- Monitor and evaluate model performance, making necessary adjustments as needed.
- Experience with building and maintaining scalable data pipelines using tools like Apache Kafka, Apache Spark, or similar.
- Proficiency in SQL and working knowledge of relational and NoSQL databases.
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Careers
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Full Time
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- Seeking problem solvers with 3+ years of industry experience for collaborative work on next-gen platforms, focusing on microservices and event-driven architectures.
- Responsibilities include designing and delivering NLP models, coding for AI Platform Services, and ensuring system performance and security.
- Qualifications require strong Python skills, expertise in ML frameworks (Tensorflow, PyTorch, HuggingFace), and experience with REST APIs.
- Desirable skills encompass Cloud fundamentals (preferably AWS), familiarity with web/microservices frameworks, and a proactive approach to staying updated on CX and AI trends.
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Careers
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Full Time
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- Exploring and visualizing data to understand it, then identifying differences in data distribution that could affect performance when deploying the model in the real world
- Verifying data quality, and/or ensuring it via data cleaning
- Proficiency with a deep learning framework such as TensorFlow or Keras
- Proficiency with Python and basic libraries for machine learning such as sci-kit-learn and pandas
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Careers
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Full Time
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- 5+ years experience with Linux skills, python, C++, and machine learning principles
- Exposure to Deep Learning frameworks, such as, PyTorch, TensorFlow etc – 2 years experience
- Experience working with Cloud (AWS, Azure, GCP etc.) – 2 years experience
- Personality and Working Practice: motivating attitude, profound communication, strong interpersonal skills, structured and analytical.
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Careers
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Full Time
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- Proven experience of working with Generative AI models, such as GANs, VAEs, or Transformers
- Strong proficiency in machine learning libraries and frameworks, such as TensorFlow, PyTorch, or Keras
- Expertise in data preprocessing, model training, and hyperparameter tuning
- Proficiency in at least one programming language, such as Python
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Careers
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Full Time
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- Proficiency with a deep learning framework such as TensorFlow or Keras
- Proficiency with Python and basic libraries for machine learning such as sci-kit-learn and pandas
- Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress
- Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probability
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Careers
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Full Time
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- Experience packaging and deploying docker based applications on Kubernetes
- Experience working on any Cloud (Google, AWS or Azure) stack
- Experience with build and CI/CD systems
- Experience designing fluent API endpoints
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Careers
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Full Time
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- Good to have certification in AI/ML.
- Good knowledge on deep learning techniques.
- Knowledge of basic python programming.
- Good to have internship experience from any recognized organization
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Careers
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Full Time
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- Strong proficiency in Python, good knowledge of SQL, hands on Tensorflow is big plus
- Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark
- Depth and hands-on experience in applying ML/DL, statistical techniques to business problems
- Experience working with software engineers and familiarity with SDLC
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Careers
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Full Time
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- Good knowledge of MySQL, NOSQL, MariaDB Enterprise and Cloud Database databases.
- Demonstrated experience working with large and complex data sets as well as experience analyzing volumes of data.
- You possess strong knowledge of Python and Spark.
- Expertise in Machine Learning, Math / Statistics, Big Data, Data Modeling / Statistical Modeling, Deep Learning, Extraction, Transformation & Load, NLP and Predictive modeling is desired.
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Careers
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Full Time
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- 4+ years of experience in Open AI, LLM, ChatGPT, Python, Tensorflow.
- Experience with Decision Tree, Random Forest classification and NLP based Tokenization.
- Experience with Azure or AWS is must.
- Design and develop capabilities related to Virtual Assistants, search and recommendation engines for investment domain as well as enterprise solutions with LLMs
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Careers
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Full Time
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- A Bachelor’s degree and 2+ years of related experience; or an advanced degree
- Expertise in Java or Python, OOP, Design Patterns, time and space-efficient algorithms
- Experience building new products that use challenging algorithms
- Expertise in coding efficient, object-oriented, modularized and quality software
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Careers
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Full Time
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- Ability to write robust code in Python, R and Java.
- Knowledge of C Embedded programming is preferred.
- Familiarity with machine learning frameworks and libraries
- Proficiency with a deep learning framework such as TensorFlow or Keras.
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Careers
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Full Time
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- Solid understanding of design patterns and OOP
- Working knowledge of Databases and SQL
- Good understanding of RESTful web services
- Integrate RPA and Machine Learning solutions into client s pipeline
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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
- Proficiency with a deep learning framework such as Hugging face, TensorFlow or Keras
- Proficiency with Python and basic libraries for machine learning such as scikit-learn and pandas
- Expertise in visualizing and manipulating big datasets
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Careers
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Full Time
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- Collaborate with cross-functional teams on the development of new features on the Agiloft platform.
- Experience building machine learning services with public cloud providers, such as Google Cloud Platform, Amazon Web Services, or Microsoft Azure
- Successful track record of collaboration with distributed teams of both technical and non-technical individuals.
- At least 3 years of experience working in data science teams.
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Careers
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Full Time
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- Engage with clients to understand their business context.
- Translate business problems and technical constraints into technical requirements for the desired analytics solution.
- Collaborate with a team of data scientists and engineers to embed AI and analytics into the business decision processes.
- Working knowledge of Databases and SQL
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Careers
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Full Time
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- Prior exposure to AI/ML workflows and tools
- Knowledge and/or exposure to cloud computing technologies like containerization platforms
- Experience with standard machine learning frameworks and tools and machine learning cloud infrastructure and accelerators.
- Design and implement machine learning models and algorithms for Generative AI and Deep Learning applications.
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Careers
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Full Time
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- Build AI and Machine Learning (ML) solutions that transform the user experience and workflow efficiency of enterprise services.
- Expertise in Java or Python, OOP, Design Patterns, time and space-efficient algorithms
- Experience building new products that use challenging algorithms
- Expertise in coding efficient, object-oriented, modularized and quality software
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Careers
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Full Time
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- Ability to write robust code in Python, R and Java.
- Knowledge of C Embedded programming is preferred.
- Familiarity with machine learning frameworks and libraries
- Proficiency with a deep learning framework.
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Careers
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Full Time
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- Experience working with high level machine learning frameworks (Tensorflow,PyTorch,MXNet)
- Experience with the deep learning compiler space (ONNC,TVM,XLA,etc) is a huge plus
- Knowledge on OpenCL programming experience is preferable
- Experience with the following technologies: deep learning models and algorithms,deep learning framework design,high performance compiler design
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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.
- Architect, build, maintain, and improve new and existing suite of algorithms and their underlying systems.
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Careers
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Full Time
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- Ability to build MLOps pipelines
- Ability to design and implement solutions in GCP
- Experience in Kubeflow Pipelines platform for building and deploying portable, scalable machine learning (ML) workflows
- Take models data scientists build and turn them into a real machine learning production system
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Careers
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Full Time
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- Design and implement modules, pipelines and algorithms related to machine learning
- Proficient in one OOP and one interpretive/script language.
- Experience with Python and/or Java a major plus
- Experience with Google Cloud Platform where you can use Cloud ML Engine to train machine learning models in TensorFlow
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Careers
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Full Time
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- Strong understanding of AI/ML concepts and techniques.
- Proficiency in programming languages such as Python, with hands-on experience in AI/ML libraries and frameworks.
- Good understanding on model deployment, design and architecture.
- Familiarity with at least one cloud platform / hyper-scaler.
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Careers
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Full Time
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- Hands-on experience in more than one major programming language (C/ C++ must have)
- Experience with code/memory optimizations, concurrency and multi-threading.
- Good understanding of parallel algorithm development.
- Design, implement, optimize and debug software modules that run and deploy DL models.
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Careers
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Full Time
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- 2+ years’ experience working as ML Engineer
- Knowledge of R, SQL, and Python
- Experience in data mining
- Understanding of machine-learning concepts of supervised, unsupervised, reinforcement learning and statistical modeling
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Careers
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Full Time
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- Coding and programming languages, including Python, R, SQL, Java, and Scala.
- Extensive knowledge of machine learning frameworks, libraries, data structures, data modeling, and software architecture
- Build machine learning infrastructure and productionize models
- Automate feature extraction and machine learning workflows.
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Careers
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Full Time
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- Work with feature stores, distributed model training and productionising the pre-processing, training and monitoring of models
- 10+ years of experience.
- 9 to 15 yrs of commercial experience with Python, and a strong focus on AI or Machine Learning
- Experience of productionising.
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Careers
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Full Time
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- Work across client teams to develop and architect Generative AI solutions using ML and GenAI
- Understanding of technological risks and the ability to assess and mitigate them.
- Deep knowledge of a specific domain or industry, with a focus on applying NLP/LLM solutions in that context
- Experience with debugging and troubleshooting software or solutions design issues.
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Careers
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Full Time
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- Conducting ad-hoc analysis to answer specific business questions.
- Identify and evaluate new technologies to improve performance, maintainability, and reliability of existing machine learning systems.
- Proficiency in working with deep learning frameworks like TensorFlow, PyTorch, scikit-learn, etc.
- 5+ years of experience in AI/ML implementation, Data and Full Stack Software development area.
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Careers
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Full Time
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- Proven industry experience in Python programming (Preferred)
- Passion coupled with knowledge of ML/AI Models (Nice to have)
- Exposure and experience with AI/ML libraries/toolkits.
- Willing to research, ideate and implement practical solutions
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Careers
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Full Time
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- Defining validation strategies
- Defining the preprocessing or feature engineering to be done on a given dataset
- Proficiency with a deep learning framework such as TensorFlow or Keras
- Proficiency with Python and basic libraries for machine learning such as sci-kit-learn and pandas
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Careers
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Full Time
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- Assist in deploying machine learning models into production environments.
- Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform.
- Proficient programming skills at a high-level language (e.g. Java, Scala, Python, C/C++, Perl, R
- Solid knowledge of at least one machine learning research frameworks
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Careers
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Full Time
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- Design and implement machine learning models and algorithms to solve complex business problems.
- Strong programming skills in languages such as Python, R, or similar for data analysis and modeling.
- Experience with machine learning libraries and frameworks, such as TensorFlow, PyTorch, scikit- learn, etc.
- Familiarity with BI tools such as Tableau, Power BI, or similar for data visualization.
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Careers
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Full Time
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- Strong understanding of Deep Learning and Machine learning theory and practice.
- Experience with Deep learning model development.
- Strong development skills in Python and C++.
- Experience with at least one machine learning framework.
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Careers
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Full Time
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- Designing and developing machine learning and deep learning systems according to the requirements.
- Analysing the ML algorithms that could be used to solve a given problem and ranking them by their success probability.
- Ability to write robust code in Python, R and Java.
- Proficiency with a deep learning framework such as TensorFlow or Keras.
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Careers
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Full Time
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- Previous experience with AI/ML algorithm design and training.
- Experience with machine vision.
- Development of applications for Linux-based targets.
- User interface design and implementation.
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Careers
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Full Time
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- Experience in TensorFlow and Keras
- Proficient in Python language
- Experience in GPU acceleration and system design skills for efficient machine learning pipeline
- Strong foundation in software engineering with top-notch skills in design patterns, code optimization and debugging.
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Careers
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Full Time
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- Experience working with distributed data processing frameworks.
- Strong programming skills in at least one object-oriented programming language.
- Know lifecycle of machine learning product development, from inception to production.
- Design and implement robust and scalable data / ML infrastructure that impacts the whole product and engineering organization.
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Careers
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Full Time
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- Design, Develop, and Deploy Machine Learning (ML) models.
- Checking data from every stage and every base for assigned deployments
- Ability to write robust code in Python, R and Java.
- Proficiency with a deep learning framework such as TensorFlow or Keras.
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Careers
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Full Time
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- Design and develop AI models and algorithms using machine learning techniques and tools, with a focus on NLP.
- Work with large datasets, including cleaning, preprocessing, and transforming data to ensure its quality and relevance.
- 4 to 10 years of experience in building AI models with NLP and data engineering.
- Strong programming skills in Python, and familiarity with libraries such as PyTorch, TensorFlow, and Scikit-Learn.
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Careers
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Full Time
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