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...passion for problem-solving and continuous learning.Designation :Project Tech. Lead (4A) : 5 -... ...-grade scalable data transformation, machine learning and deep learning code, pipelines; manage data and model versioning, training, tuning, serving, experiment and evaluation...
Job Title: Senior Machine Learning Engineer Location: New Delhi
Experience: 5+ Years
About Us:
CreateBytes is a leading innovator in the technology industry, specializing in advanced AI solutions. We are dedicated to creating cutting-edge products that transform...
...The ML Engineer will be responsible for developing and improving Train Waitlist Prediction algorithms for our platform. They will also be... ...~ Comfortable working with Python, Pandas, TensorFlow, Scikit Learn
~ Strong problem-solving and analytical skills
~ Experience with...
...passionate about building scalable data solutions and inspiring others to learn more. You want to join a fast moving company and shape our... ...ML engineers who will be responsible for scaling and deploying machine learning models for Tide.
~Participating in an agile development...
...the Role-
This role is for you if you are passionate about machine learning, data engineering, and building products in general. It will require... ...for Deep Learning/GPT use cases which require scaled-up training with cost optimization.
Engineer high-reliability, high-performance...
...bright, motivated and hardworking individuals to fill Sort Center Learning Manager Position at our SC (Sort center). The ideal candidate... ...com employees.
• Help and assist the LM to create and implement training plans for managers, trainers and others.
• Creates/updates...
As a Machine Learning Engineer, you will play a crucial role in the development and implementation of cutting-edge artificial intelligence products... ...statistical analysis and fine-tuning using test results- Train and retrain systems when necessary- Extend existing ML libraries...
Requirement :- Experience with Machine Learning Model Development : 1. Extensive experience in developing and implementing machine learning,... ...process of model deployment, including data preprocessing, model training, optimization, and integration into production environments.-...
...Responsibilities :- You'll develop, collect, manipulate the data on cloud as well as an Edge.- You'll automate the ML lifecycle.- You will train models from the data collected at Edge inside cloud and deploy it back to Edge.Required Skill Set :- Must have excellent programming...
...modern clouds (AWS, Azure, GCP) and container platforms (Docker, Kubernetes, etc.)
Knowledge of Machine Learning lifecycle (wrangling data, model selection, model training, modeling validation, drift monitoring, and deployment at scale) and experience working with data...
Role :- Design and deploy machine learning systems- Research and implement appropriate ML algorithms and tools- Develop machine learning applications... ...statistical analysis and fine-tuning using test results- Train and retrain systems when necessary- Extend existing ML libraries...
...Advanced Python, Advanced SQL,3+ yrs of experience in algorithms ,machine learning ,data science. Experience in PySpark ,Tensorflow, experience in... ...statistical analysis and fine-tuning using test results- Train and retrain systems when necessary- Extend existing ML libraries...
...Title: Data Engineering and Machine Learning Expert Skills- Python, Scala Spark Streaming ,Hadoop, Hive, Airflow & MLOPS
Experience range: 4 - 8 years
Location: Gurugram
Hybrid Working
We at Coforge are hiring Machine Learning specialists with following skill...
...Requirements:.- Handson experience in ML is key.- AI/ML techniques, deep Learning. OR.- Hands on experience in , NLP (PyTorch, TensorFlow, etc.)... ...team. - The ideal candidate will have hands-on experience in machine learning (ML), AI/ML techniques, deep learning, and/or natural...
...experience in data manipulation, analysis, and visualization libraries (e.g., Pandas, NumPy, Matplotlib, Seaborn).- Experience with machine learning techniques and frameworks (e.g., scikit-learn, TensorFlow, PyTorch) for classification, regression, clustering, and anomaly...
...interpret data with clear objectives in mind- Implement analytical models in production by collaborating with software developers and machine-learning engineers- Proficiency with data mining, mathematics, and statistical analysis- Advanced experience in pattern recognition and...
...technical teams to collect, clean, and prepare data for AI model training and evaluation.- Develop and maintain best practices and... ...monitor and analyze IT systems, applications, and networks.- Deploy machine learning algorithms for anomaly detection, root cause analysis, and...
...output needed - Model the business scenarios to solve client problems - Collaborate with client stake holders - Work on productizing learnings from each project to enrich the product- Contribute to overall solution development, Owner of the algorithms/codes to facilitate in...
...function. Build a highly functional and efficient Data Science & Machine Learning platform that brings together data from disparate sources and... ...systems- Implement automation tools and processes for model training, testing, and deployment. Streamline and optimize the end-to-end...
...output needed - Model the business scenarios to solve client problems - Collaborate with client stake holders - Work on productizing learnings from each project to enrich the product- Contribute to overall solution development, Owner of the algorithms/codes to facilitate in...
