538 Job openings found

1 Opening(s)
3.0 Year(s) To 8.0 Year(s)
15.00 LPA TO 15.00 LPA
Position Overview: As a Data Scientist, he will be responsible for translating management and business requirements into advanced analytics solutions. He will play a crucial role in the development of data pipelines, business intelligence tools, and the delivery of meaningful insights through trend analysis and business analytics. Responsibilities: 1. Data Analysis and Modeling:• Collaborate with ...
1 Opening(s)
5.0 Year(s) To 8.0 Year(s)
Not Disclosed by Recruiter
 - Data Engineer (PySpark):• 5+ years of experience in Data Analytics role with at least 2 years of development experience in PySpark• Very strong in SQL• Expertise in programming with Python with experience in Data Cleaning, Feature Engineering, Transformation and building statistical/ML models.• Experience working on Unix based platforms with ...
1 Opening(s)
3.0 Year(s) To 5.0 Year(s)
2.40 LPA TO 3.60 LPA
Job Summary: As an AI Specialist, you will be responsible for developing, implementing, and maintaining artificial intelligence solutions to solve complex business problems. You will collaborate with cross-functional teams to identify opportunities for AI integration, design algorithms, and deploy AI models that enhance efficiency, accuracy, and innovation within the organization. ...
3 Opening(s)
5.0 Year(s) To 7.0 Year(s)
Not Disclosed by Recruiter
- Expertise in GoLang(required) , Python to develop scalable and concurrent functionalities. - Experience with creating comprehensive unit and functional tests to validate implemented functions. - Proficiency in Certificate Management tools such as Venafi and Thales HSM is highly appreciated, but not mandatory. - Familiarity with API-Server, AWS, and Google Cloud Platforms.  - Strong coding abilities ...
2 Opening(s)
3.0 Year(s) To 5.0 Year(s)
12.00 LPA TO 18.00 LPA
We are looking for a highly capable Full-Stack engineer to be a core contributor in developing our B2B Intelligent Pharma Marketplace. You will love this role if you love working on complex problems and writing clean code. Our goal is to solve a complex problem elegantly and cost-effectively.   Think like our ...
5 Opening(s)
7.0 Year(s) To 12.0 Year(s)
18.00 LPA TO 23.00 LPA
Responsibilities: ·        Working Knowledge of all the BRM modules (Subscription Management, Billing & Invoicing, Payments & Account Receivable, Collections, Integration) ·        Experience in understanding the requirement and translating that to functional and low-level design ·        Must have worked as a BRM developer in their past and must be hands-on in BRM to verify the sanity of ...
1 Opening(s)
2.0 Year(s) To 4.0 Year(s)
Not Disclosed by Recruiter
Hands on experience on Data Analyst with hands on experience SQL & Python  Hands on experience on dashboard and analytics with good machine learning experience  Hands on experience building the data and reporting infrastructure from the ground using power Bi & sql to provide real time insights to the product, marketing , funnels ...
1 Opening(s)
3.0 Year(s) To 5.0 Year(s)
Not Disclosed by Recruiter
Title: Forensic Data Analyst  To qualify for the role, you must have: Execution of projects Deliver on time and to a high standard Become a crucial part of the technical team supporting the development of new propositions to solve our client issues Developing a role within the Forensic Technology team as a whole, supporting internal ...
1 Opening(s)
4.0 Year(s) To 10.0 Year(s)
6.00 LPA TO 8.00 LPA
As a Threat Analyst you will play a pivotal role in safeguarding our organization against cyber threats. Collaborating with enterprise systems, log analysis platforms, and endpoint collection systems, you will lead investigations, identify potential threats, and execute strategies to neutralize them effectively. This position will require the candidate to be aligned ...
2 Opening(s)
4.0 Year(s) To 8.0 Year(s)
20.00 LPA TO 33.00 LPA
Experience & Skills: Proficiency with python and the python ML tool kit along with DL frameworks Experience with working on end to end solutions and comfortable with cloud based ML-Opspipelines Experience fine-tuning deep learning models including LLMs Experience with GPUs and understanding of balancing costs at both training and inference ...

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