- Excellent in machine learning and deep learning concepts.
- Data understanding and analysis
- Supervised, Unsupervised, and Semi-supervised learning techniques
- Excellent in Python programming
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Careers
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Full Time
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- Hands-on experience in deep/machine learning for computer vision of 1+ years.
- Hands-on experience in Python with 1+ years of experience
- Smart programmers with strong analytical skills
- Software development of machine learning back-end
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Careers
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Full Time
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- Experience with large-scale, open-source frameworks
- Exposure to containerization and microservices
- Experience with cloud services
- Minimum experience of 2 years in NLP and machine learning.
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Careers
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Full Time
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- 8+ years of practical experience using AI and ML.
- Demonstrated ability to translate cutting-edge research into working prototypes
- Experience in a fast-paced, agile environment.
- Proficiency in Python, Java, or Scala
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Careers
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Full Time
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- Strong software development skills with proficiency in Python, and PyTorch.
- Building MLOps infrastructure for experimentation
- Experience with MLOps technology: Git, Docker, Kubernetes, MLFlow
- Setting up the LangChain pipeline including prompt engineering and parsing
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Careers
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Full Time
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- Strong coding skills in C++, Golang, or similar language
- Experience in competitive programming: ACM ICPC, Codeforces, Topcoder, etc.
- Experience in DS/ML competitions: Kaggle etc.
- Written libraries or tools used by other engineers or researchers
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Careers
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Full Time
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- Experience with ML, deep learning, TensorFlow, Python, NLP
- Experience in program leadership, governance, etc.
- Knowledge of basic algorithms, object-oriented, and functional design principles.
- Experience in REST API development, NoSQL database design
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Careers
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Full Time
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- At least 8 to 12 years of data science experience.
- Minimum 10+ years of customer-facing, global project delivery.
- At least 10+ years of experience in people management.
- Proven record to partner and influence C-level executives
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Careers
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Full Time
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- 7-11 years of experience.
- Strong understanding of modern ML approaches
- Experience with Deep Learning, NLP, LLMs, Reinforcement Learning
- Proficiency in programming languages such as Python or Scala.
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Careers
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Full Time
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- 3-5 years of proven experience as a Machine Learning Engineer in a professional setting.
- Proficiency in any programming language (Python preferable).
- Prior experience in building and deploying Machine learning systems.
- Experience with containerization: Docker & Kubernetes.
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Careers
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Full Time
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- Good Python programming skills
- 5-8 years of proven experience working in data science.
- Degree in engineering, statistics, mathematics
- Ability and preference to work in a constantly evolving and less defined business environment.
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Careers
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Full Time
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- Proven experience in Python programming and expertise in NLP or Signal Processing.
- Familiarity with SOTA models and their applicability in the biomedical field.
- Experience in deploying and monitoring production-grade models.
- Strong problem-solving and analytical skills.
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Career
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Full Time
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- Strong understanding of modern ML approaches
- Experience with Deep Learning, NLP, LLMs, Reinforcement Learning
- Proficiency in programming languages such as Python or Scala.
- Strong problem-solving and analytical skills.
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Careers
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Full Time
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- 4+ years of model training.
- Strong skills in computer vision, NLP, or deep learning.
- Solid background in algorithms, and data structures.
- Strong programming skills in Python, and experience in Tensorflow or PyTorch.
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Careers
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Full Time
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- Min 5 years of hands-on experience as a Data Scientist
- Proficient in Python, SQL, libraries, frameworks like Tensorflow, PyTorch, Pandas
- Expertise in statistical modeling, ML, and deep learning.
- Proficient in using deep learning techniques in NLP, Computer Vision
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Careers
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Full Time
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- 3+ years of experience building production-ready data pipelines
- 5+ years experience in any major machine learning frameworks.
- 6+ years of experience within a large/data-intensive multi-line business environment.
- Expertise in designing, implementing, and production-ready data pipelines for ML models.
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Careers
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Full Time
|
- 3+ years of Industrial experience in deep learning.
- At least 2+ years of leading Machine Learning (Deep Learning) projects.
- Experience in Computer Vision and Natural Language Processing.
- Working knowledge of VLMs
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Careers
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Full Time
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- Experience in NLP, Machine Learning, and Deep learning
- Experience working on Python is a must
- Extensively working on NLP applications, ability to work in Machine learning mode.
- Knowledge of LLMs, fine-tuning, and deployment is a must
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Careers
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Full Time
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- Hands-on experience scaling and taking data science solutions to production
- Experience with deep learning frameworks such as PyTorch.
- Experience with Scala, Ray, Kubernetes, or Airflow a plus
- Have a data-centric mindset and willingness to validate results
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Careers
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Full Time
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- 3 years of developer experience with an emphasis on code/system architecture and quality output
- Experience designing and building data pipelines, data APIs, and ETL/ELT processes
- Exposure to data modeling and data warehouse concepts
- Hands-on experience in Python
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Careers
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Full Time
|
- Knowledge of SQL and experience with big data platforms like Hadoop or Spark.
- Familiarity with cloud platforms such as AWS, Google Cloud, or Azure.
- Dev Ops and CI/CD experience
- Strong understanding of statistics and machine learning algorithms.
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Careers
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Full Time
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- Minimum 4 years of analytical and programming skills (preferably, Python and SQL)
- Very strong data structure and algorithm skills
- Well-versed with Machine Learning concepts.
- Knowledge about: LLMs, Vector stores/databases, Prompt Engineering
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Careers
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Full Time
|
- Bachelor’s or Master’s degree in CS or other technical fields.
- 0-2 years of experience in Machine Learning positions in industry or academia.
- Practical Machine Learning experience as demonstrated by earlier works.
- Knowledge of and ability to use tools from theoretical and practical aspects of computer science.
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Careers
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Full Time
|
- Common data science toolkits, such as NumPy Pandas sci-kit-learn Matplotlib, etc.
- Deep learning frameworks such as PyTorch TensorFlow
- Good scripting and programming skills
- Processing, cleansing, and verifying the integrity of data used for analysis
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Careers
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Full Time
|
- Design and develop Computer Vision, NLP, and Recommendation Systems for our app
- Experience with implementing and training deep learning models in TensorFlow/Keras or Pytorch
- Ability to write clean, efficient, and bug-free code.
- Ability to lead an initiative from concept to operation.
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Careers
|
Full Time
|
- 7+ years of experience in designing, coding, and delivering software.
- You are a software engineer by heart and love to solve problems and do coding.
- You have designed large-scale production systems.
- Hands-on experience in building and deploying scalable & reliable data pipelines.
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Careers
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Full Time
|
- 3+ years of experience in software engineering, AI
- Good experience in building/tuning Spark pipelines in Scala/Python
- Develop and integrate how AI capabilities can help lead to solutions
- Convert AI/ML models into APIs to integrate with the other solutions/systems.
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Careers
|
Full Time
|
- Strong programming skills in Python
- Experience in computer vision, OpenCV
- Strong foundation in linear algebra, probability theory
- Experience in face recognition, OCR, document reading
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Careers
|
Full Time
|
- 3+ years of industry experience as a machine learning engineer
- Experience with at least one ML model: Logistic regression, deep learning, etc
- Experience with data analysis, feature exploration, etc.
- Explore, design, develop, and implement data-driven strategies and machine-learning models
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Careers
|
Full Time
|
- Excellent quantitative skills and experience in statistics and machine learning
- Interest in experimentation and data-driven improvisation
- Have worked on handling big data
- Hands-on knowledge of deep learning
|
Careers
|
Full Time
|
- Familiarity with data engineering tools (Flink/Spark/Kafka etc)
- Experience with both object-oriented and functional programming languages
- Experience in building and maintaining rule engines and A/B testing frameworks
- Experience in building, deploying, and improving Machine Learning models.
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Careers
|
Full Time
|
- 4-5 years of experience as a Machine Learning Engineer or similar role
- Proven Understanding of data structures, and data modeling.
- Deep knowledge of math, probability, statistics, and algorithms
- Ability to write robust code in Python, Java, and R
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Careers
|
Full Time
|
- At Least 3+ years of experience.
- Experience with Reinforcement Learning.
- Solid understanding of basic Machine Learning and Deep Learning algorithms and Statistical methods.
- Experience with Machine Learning frameworks.
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Careers
|
Full Time
|
- Experience in predictive modeling and predictive software development
- Skilled in Java, C++, Perl/Python.
- Experience in using R, Matlab, or any other statistical software
- Total experience: 14+ years
|
Careers
|
Full Time
|
- Strong programming skills in Python
- Experience in computer vision, OpenCV
- Strong foundation in linear algebra, probability theory
- Experience in face recognition, OCR, document reading
|
Careers
|
Full Time
|
- Experience ranging from 0 to 3 years Theoretical knowledge and understanding of Statistics
- Hands-on experience in statistics, data science, machine learning, and predictive modeling.
- Good knowledge of Exploratory Data Analysis (EDA)
- Programming expertise in Python Experience with Google Colab and Jupyter notebooks
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Careers
|
Full Time
|
- Good understanding of Machine Learning Algorithms, Linear Algebra, and Statistics.
- Working knowledge of Amazon Web Services(AWS).
- Experience with Docker and Kubernetes will be a plus.
- Experience with Natural Language Processing.
|
Careers
|
Full Time
|
- Strong experience in advanced math and statistics
- Excellent familiarity with command line Linux environment
- Able to understand various data structures and common methods in data transformation
- Experience deploying machine learning models.
|
Careers
|
Full Time
|
- Experience playing the role of full-stack data scientist and taking solutions to production.
- Experience in building ML solutions in customer lifecycle functions
- Good to have NLP experience and work on building Gen AI solutions.
- Strong Python coding skills, and ability to work in a big data ecosystem.
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Careers
|
Full Time
|
- Overall 5+ years of experience.
- Minimum 3+ years in DevOps.
- Minimum of 3+ years of experience in ML Ops is a MUST.
- Hands-on experience as a DevOps (Docker, Kubernetes)
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Careers
|
Full Time
|
- Experience in setting up MLOps framework for AI ML team
- Experience in Azure AI ML solution design.
- Proven record of embedding advanced analytical models into business processes
- Collaborate in multi-functional teams to evaluate business activities
|
Careers
|
Full Time
|
- 4+ years of relevant work experience
- Advanced knowledge in one or more areas of ML/AI
- Experience with data-driven product development: analytics, A/B testing, etc.
- BSc or higher in Computer Science, Artificial Intelligence
|
Careers
|
Full Time
|
- Experience with Go, Ansible, Terraform, and Cloud Formation is a plus
- Experience in machine learning, distributed systems, and databases
- Knowledge of information security, monitoring, and auditing.
- Ability to analyze data to optimize performance and improve security.
|
Careers
|
Full Time
|
- Have experience in building predictive modeling.
- Experience in Python, or another scripting language.
- Experience writing complex, highly optimized SQL queries.
- Experience with reporting to enable explanatory and exploratory analytics
|
Careers
|
Full Time
|
- Expertise in Scikit-learn, PySpark, and pandas
- Experience with NumPy and Scipy, Docker
- Experience in designing solution architecture using AWS/GCP/Azure will be an added advantage
- Experience with Mlflow/ Kubeflow/Apache Airflow will be an added advantage.
|
Careers
|
Full Time
|
- Good working knowledge of MS Office Suite, adept with spreadsheet and logical operators
- Knowledge of e-commerce catalog platforms and related challenges
- Commitment to meet deadlines and multitask in a fast-paced environment
- Has a minimum of 1-2 years of work experience in catalog/category content
|
Careers
|
Full Time
|
- 5+ years of Experience majorly in applying AI/ML/ NLP
- Experience with writing complex programs and implementing custom algorithms
- Experience beyond using open-source tools.
- Experience in data management, data analytics middleware, etc
|
Careers
|
Full Time
|
- Experience in creating and working with CICD pipelines and APIs.
- Experience with relational SQL and NoSQL databases.
- Experience working with cross-functional teams in a dynamic environment.
- 4+ years of total experience in a complex, technical environment.
|
Careers
|
Full Time
|
- The ability to write scripts in Python, R, C++, or similar high-level programming languages is required
- Solid communication and interpersonal skills
- Creative, self-directed, and a team player with the ability to take ownership and accountability for assigned tasks
- Strong theoretical and practical knowledge in statistics and mathematics
|
Careers
|
Full Time
|
- Algorithm Development, Image Processing, data analytics
- Tensorflow, Keras, Pytorch, AutoEncoder, GDAL. Applied Mathematics, Advanced Statistics
- Development of a customized algorithm for image processing
- Working experience with Python and associated libraries in Deep Learning/ Machine Learning Frameworks.
|
Careers
|
Full Time
|
- 3+ years of professional experience.
- Proficiency with ML modeling frameworks.
- Experience in ML model serving (TorchServe, TensorFlow Serving, etc.)
- Familiarity with GPU computing
|
Careers
|
Full Time
|
- 5+ years of professional experience
- Hands-on experience with Kubernetes, Kubeflow, and MLflow.
- Experience in ML model serving
- Proficiency with ML model training frameworks
|
Careers
|
Full Time
|
- Have experience in building predictive modeling.
- Experience in Python, or another scripting language.
- Experience writing complex, highly optimized SQL queries.
- Experience with reporting to enable explanatory and exploratory analytics
|
Careers
|
Full Time
|
- Experience working with Databricks and SQL.
- Experience working with Elastic and ECS Formatted data
- Experience working with a SOAR platform such as Tines.
- Experience with Spark is a plus
|
Careers
|
Full Time
|
- Strong experience in advanced math and statistics
- Excellent familiarity with command line Linux environment
- Able to understand various data structures and common methods in data transformation
- Experience deploying machine learning models.
|
Careers
|
Full Time
|
- 6 + years of experience.
- You also should have a product mindset and strong intuition around how ML can drive a better customer experience
- Experience delivering applied machine learning products.
- Experience working with diverse ML Platforms
|
Careers
|
Full Time
|
- Feel a personal stake in the product.
- Strong attention to detail and excellent analytical capabilities.
- Experience in designing and implementing various machine learning models.
- Deep understanding of core machine learning concepts.
|
Careers
|
Full Time
|
- Experience with any machine/deep learning frameworks.
- Experience in training models through GPU computing.
- Ability to transform research articles into working solutions to solve real-world problems.
- Strong background in mathematics.
|
Careers
|
Full Time
|
- Collaborative and comfortable working across teams including data engineering, front end, etc.
- Responsible to take ownership of challenging problems
- An effective communicator, including good documentation practices.
- Comfortable with working in an agile environment
|
Careers
|
Full Time
|
- Proven leadership skills with the ability to manage and motivate teams.
- Previous experience in managing data labeling teams for machine learning/AI projects.
- Solid understanding of machine learning processes.
- Exceptional communication skills.
|
Careers
|
Full Time
|