1 Opening(s)
5.0 Year(s) To 12.0 Year(s)
Not Disclosed by Recruiter
Primary Responsibilities:
Design, build and configure applications in Salesforce Einstein Analytics technology to meet business
process and application requirements
Work Experience:
Must have a minimum of 8+ years of IT experience with min 2+ years of hands on experience in Salesforce
Einstein Analytics. Minimum 2+ years of experience in any other ETL platform is desirable.
Technical ...
1 Opening(s)
8.0 Year(s) To 10.0 Year(s)
30.00 LPA TO 35.00 LPA
Required Skills
The ideal candidate will -
Have the ability to handle structured /unstructured data like Text, Image and have prior experience in loading, validating and cleaning various types of data.
Have very good understanding of data structures and algorithms.
Have excellent coding skills in one or more of the following languages: Python, Java, ...
3 Opening(s)
8.0 Year(s) To 10.0 Year(s)
30.00 LPA TO 40.00 LPA
Required SkillsThe ideal candidate willHave the ability to handle structured /unstructured data like Text, Image and have prior experience in loading, validating and cleaning various types of data.Have very good understanding of data structures and algorithms. Have excellent coding skills in one or more of the following languages: Python, Java, ...
2 Opening(s)
7.0 Year(s) To 13.0 Year(s)
20.00 LPA TO 30.00 LPA
Eligibility -
- Must have a bachelor’s degree from IIT
- Should have completed PHD or Masters
Need to have Excellent Communication skills and good working experience in Deep Learning, In-depth programming with Machine Learning, Natural Language processing
In-depth understanding of Artificial Intelligence, Quantitative and Qualitative Analytics, Deep Learning, Machine Learning, Natural Language ...
1 Opening(s)
7.0 Year(s) To 20.0 Year(s)
30.00 LPA TO 40.00 LPA
Lead the design, development, and deployment of machine learning models and algorithms to solve complex business problems. ● Oversee the end-to-end machine learning lifecycle, including data preprocessing, model training, evaluation, and deployment. ● Utilize AWS SageMaker to build, train, and deploy machine learning models. ● Leverage AWS Bedrock to develop ...
5 Opening(s)
5.0 Year(s) To 20.0 Year(s)
6.00 LPA TO 45.00 LPA
JOB DESCRIPTION
Role: AI Research Scientist
Offering: Artificial IntelligenceWe are looking for an exceptional hands-on research scientist with a proven track record of experience in applying techniques like natural language processing (NLP), Information Extraction/ Retrieval, knowledge representation and reasoning (KRR), speech recognition, and/or machine learning (e.g., deep learning), to name a few. ...
1 Opening(s)
1.0 Year(s) To 4.0 Year(s)
10.00 LPA TO 16.00 LPA
Responsibilities:
• Have demonstrated passion and enthusiasm for Machine Learning and Deep Learning through projects, products, etc. Ability to develop new ML/DL models from scratch.
• Keep up-to-date with the advances in neural networks and particularly their applications to NLP problems
• Be sharp at Algorithm Design and Complexity Analysis, solving new ...
3 Opening(s)
1.0 Year(s) To 3.0 Year(s)
3.50 LPA TO 6.50 LPA
We are seeking a talented and passionate AI/ML Engineer to join our dynamic team. As an AI/ML Engineer, you will play a crucial role in developing cutting-edge solutions that leverage artificial intelligence and machine learning techniques. Your expertise will drive innovation and enhance our products and services.
Responsibilities:
Design, develop, and implement ...
1 Opening(s)
25.0 Year(s) To 35.0 Year(s)
24.00 LPA TO 36.00 LPA
gm hr
looking all hr activity on plant and corporate
exp on similer industries 25 to 35 tear
E
Hide
Functional Area *
Select Functional Area
Accounts / Finance / Tax / CS / Audit
Consulting / Agent / Freelancer
Architecture / Interior Design
BFSI, Investments & Trading
Journalism, Content writing & Editorial
Top Management, Corporate Planning / Consulting
Engg Design / R&D / ...
1 Opening(s)
1.0 Year(s) To 4.0 Year(s)
15.00 LPA TO 22.00 LPA
Key Responsibilities: Developing a framework that is core to the loan decision making process in the company Communicate ideas and hold discussions with product and non-tech personnel to find potential solutions Monitor the results in production to find potential improvementsCome up with optimizations to the framework to make the process more smooth and ...