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As a Machine Learning Engineer, you will play a crucial role in the development and implementation of cutting-edge artificial intelligence products.Your responsibilities will involve designing and constructing sophisticated machine learning models, as well as refining and updating...
...advanced ML algorithms like Nave Bayes, k-means, KNN and other Deep Learning concepts- Perform necessary model building steps including... ...in working dual shore client environment- Experience in directly managing the clients- Expert Level Knowledge in Python (including libraries...
...with a passion for problem-solving and continuous learning.Designation :Project Tech. Lead (4A) : 5 - 7 YearsProject Manager/Architect (4B/5A) : 7 - 10 YearsRole and... ...production-grade scalable data transformation, machine learning and deep learning code, pipelines; manage...
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...
...Deployment, monitoring, and maintenance of data pipelines and machine learning models in a production environment.- Collaborate with data... ...operations processes, configurations, and updates.- Project task management with team spread across onshore and offshore locations.-...
...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...
...About the Role-
This role is for you if you are passionate about machine learning, data engineering, and building products in general. It will require close collaboration with data scientists, analysts, and software engineers, so a basic understanding of DS stack and development...
...Preferred] Experience with Core ML algorithms
~[Preferred] Experience training and deploying ML models in production
~ Comfortable working with Python, Pandas, TensorFlow, Scikit Learn
~ Strong problem-solving and analytical skills
~ Experience with Azure is a plus...
...experience in ML is key.- AI/ML techniques, deep Learning. OR.- Hands on experience in , NLP (... ...will have hands-on experience in machine learning (ML), AI/ML techniques, deep learning... ...integration. Cloud Computing : - Deploy and manage applications on AWS cloud platform. -...
...(e.g., Pandas, NumPy, Matplotlib, Seaborn).- Experience with machine learning techniques and frameworks (e.g., scikit-learn, TensorFlow, PyTorch... ....- Experience working in cross-functional teams and managing multiple projects simultaneously.- Knowledge of LLM, NLP ,database...
...including CI/CD, Version Control, Trunk Based Development, Release Management, and Test-Driven Development using popular tooling (e.g.,... ...platforms (Docker, Kubernetes, etc.)
Knowledge of Machine Learning lifecycle (wrangling data, model selection, model training, modeling...
...We have an exciting opportunity for the role of Data Science Manager with our client, a leading provider of patented full-stack software solutions for automating decision-making in industrial settings. Their solutions have made significant impacts across large enterprises...
...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...
Requirement :- Experience with Machine Learning Model Development : 1. Extensive experience in developing and implementing machine learning, Deep Learning, NLP models across various domains. 2. Proven ability to guide and lead the development of complex models, ensuring accuracy...
Role :- Design and deploy machine learning systems- Research and implement appropriate ML algorithms and tools- Develop machine learning applications... ...scikit-learn)- Excellent communication skills, stakeholder management capability and ability to work in a team- Outstanding...
...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...
We are looking for a Data scientist (ML) Engineer in IoT domain.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 ...
ROLE: DATA SCIENCE - LEAD - S.CON/MANAGER- A techno-functional analytics expert in supply chain demand planning, procurement, and manufacturing... ...- Collaborate with client stake holders - Work on productizing learnings from each project to enrich the product- Contribute to overall...
...Design, implement, test, deploy and maintain innovative data and machine learning solutions to accelerate our business.- Create experiments and... ...and prediction techniques- Collaborate with product managers, and stockholders to design and implement software solutions for...
...continuous improvement.- Collaborate with Incident and Problem Management to reduce MTTR and Incident volume.- Design, implement, and... ...and analyze IT systems, applications, and networks.- Deploy machine learning algorithms for anomaly detection, root cause analysis, and incident...