Average salary: Rs2,000,000 /yearly
More stats ...create significant impact.- Provide technical guidance and mentorship to junior AI/ML engineers, fostering a culture of innovation and learning.Solution Architecture :- Architect scalable and robust AI/ML systems, encompassing data pipelines, feature engineering, model...
...environment for a High-t ech Manufacturing Industry- 4+ years of experience in Python and ML packages (NumPy, Keras, Seaborn, Scikit-learn).- Excellent understanding of machine learning techniques and algorithms such as, Regression models, kNN, SVM,NB, Decision Trees.- Expertise...
About company: It's provides Data management services and solutions for healthcare organizations to decommission their legacy EHRs by extracting patient data and archiving in a Best in KLAS winner secure cloud. We help hospitals and clinics archive patient data from legacy EHRs...
...ability to work in a collaborative and fast-paced environment.- 5+ years of experience in Automated Artificial Intelligence Tools- 5+ years of experience in Machine Learning / Al- 5+ years of experience in AWS, Azure, and other Cloud Platforms.- 5+ years of experience in Docker...
...Required : 2-6 years Employment Type : Onsite, Contract to Hire Number of Positions : 15Job Description :- Design and implement machine learning models to solve complex problems.- Collaborate with data scientists and engineers to integrate AI/ML solutions into applications.-...
...performance, efficiency, and scalability.Implement and maintain machine learning pipelines for training and deploying large-scale models using... ...or Bachelors in Computer Science, Data Science, Artificial Intelligence, or a related field.At least 8 years of experience in data...
...who is responsible for designing, developing and implementing innovative RPA systems. You will make use of Machine Learning (ML) and Artificial Intelligence (AI) to automate routine business tasks. RPA systems carry out processes on their own, but they still rely on highly...
Rs 15 - 25 lakhs p.a.
...process and application requirements. Must have Skills : Artificial Intelligence Good to Have Skills : No Technology Specialty Job Requirements... ...Intelligence 3:Experience using the cognitive APIs machine learning studios on cloud 4:Exp with cloud primitives 5:He/She may need...
...Summary:
The Business Intelligence Senior Engineer is responsible for optimizing customer experience and order fulfillment insights across... ...and brick and mortar stores -- through building machine learning models using Python on cloud platforms including Databricks, Microsoft...
...Python Programming - 3 plus years of experience in
API experience
AWS-MLOPs -- must have worked in an ML Ops environment
Machine Learning/GenAI
Knowledge around lang chain framework (GEN AI framework that they use for these use cases)
This team deals with all...
...Giggso India Pvt. Ltd is looking for a Machine Learning Engineer with 3.5 years- 6 years to work in product development, lead multiple... ...enabled, bringing together messages and notifications to drive intelligent decision-making.
Role Description
This is a full-time...
AI Lead/Manager - Design and develop machine learning software solutions for semiconductor device and thin film metrology- Work with both... ...(using regression models and TensorFlow framework, Artificial intelligence, Physics/FEA/CFD/electromagnetics)- Btech or MTEch - 8+ yrs C++...
...We are actively looking for a Machine Learning (ML) Engineer to join our team. As a Machine Learning Engineer, you will play a crucial... ...the development and implementation of cutting-edge artificial intelligence products.
Your responsibilities will involve designing and constructing...
Requirement ELK L3 / SME (B3)
Expertise ELK Observability / Grafana (Deployment, Administration & Development)
Key responsibilities
Deployment of Elastic stack, Kibana visualizations and Grafana for the Client.
Demonstrate ELK / Grafana capabilities to the prospective...
JDs for DevOps/SRE (Ansible & Python)
Requirement DevOps/SRE Tech Lead
Expertise Ansible & Python
Key responsibilities
Implement CI/CD pipelines using Ansible and python. Also, should leverage other similar and associated tools for the same.
Integrate Ansible...
Rs 8 - 30 lakhs p.a.
...application requirements. Must have Skills : Microsoft Azure Machine Learning Good to Have Skills : Microsoft Azure PaaS Job Requirements :... ...analytics, complex event processing, data warehouses, business intelligence etc 3 Extensive experience on Azure Machine Learning services 4...
...DESCRIPTION
The Books Risk Management team is looking for a highly driven, customer-obsessed Business Intelligence Engineer who will be responsible for supporting strategic, risk mitigation programs. The Business Intelligence Engineer will be responsible for complex analysis...
...employee experience design
Experience with IT platforms used within Global Business Services
Key Responsibilities:
Define learning solutions strategy for needs across GBS:
Partner with stakeholders to arrive at the right solutions with end user perspective...
SRE - B3
Experience Min - 6 years; Max - 10 years
Candidate Requirement Key responsibilities
Review Monitoring & alerts to provide recommendations for enhancement towards 360� coverage
Create dashboards, setup synthetic and real user monitoring, visualize large...
Grafana
Requirement Grafana Architect
Requisition ID 2619613- C1 & 2619608 - C2
Experience 10+ Years
Candidate Requirement Expertise
Grafana Enterprise / Cloud Stack
Key responsibilities
Responsible for Solutioning / Architecting and end to end deployment...
...our dynamic team immediately. If you thrive in a fast-paced environment and possess expertise in Microsoft SQL Server, and Business Intelligence, we want to hear from you.Responsibilities :- Design and implement high-performing SQL queries as per functional specifications.-...
Dynatrace Administrator L2 (B3)
Dynatrace Administration & Development
~ Managed services Support / Administration of Dynatrace (DT) Platform (Prod / Dev / Staging Environments)
~ Perform Daily BAU tasks for managing the Dynatrace environment.
Data onboarding /...
...VFX a postproduction services company in the entertainment industry with global clients is looking for a midlevel position Business Intelligence Lead on a permanent role basis. This role involves managing aligning and ordering the data / reporting / analytic requirements...
...as use data to drive process improvement. An ideal engineer is one who enjoys discovering and solving ambiguous problems, can quickly learn complex systems, and enjoys building actionable insights from data.
To meet these challenges we are looking for passionate, talented...
...Lead Machine Learning Engineer (5+ Years of Experience)
We are on the hunt for a Lead Machine Learning Engineer to anchor our rapidly expanding team. With a blend of deep technical knowledge and a proven track record of leading innovative projects, you'll drive the development...
...the market? If so, we are excited to have bumped onto you.
Learn how we are redefining the meaning of work , and be a part of... ...Clients, Job-seekers and Employees.
If you are a Business Intelligence Developer (Application Developer) and looking for excitement, challenge...
...The role of Manager Learning and Development is to create and maintain structures and support for the training professional development of Bhumians. This means every employee and volunteer is able to contribute effectively towards Bhumi s vision.
Primary Responsibilities...
Rs 4 - 6.5 lakhs p.a.
...:
You will be working with the core R&D team which drives the computer vision and image processing development.
Build a deep learning model for our data and object detection on large-scale images.
Design and implement real-time algorithms for object detection, classification...
...Exp : 6- 9 years
Job Description:
Responsibilities:
Required Skills: SQL, Python
Good Understanding of Machine Learning Algorithms and Natural Language Processing/LLMs.
Proficiency in building and deploying models for various NLP tasks
Nice to have...
...climate scientists, and engineers to understand the specific needs and challenges of each project
Design and implement robust machine learning pipelines, including data preprocessing, feature engineering, model training, and evaluation
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