39 Job openings found

5 Opening(s)
2.0 Year(s) To 4.0 Year(s)
8.00 LPA TO 12.00 LPA
Responsibilities:  Design and implement backend systems and APIs Write scalable and maintainable code  Testing, debugging and automated deployment Automate tasks with scripting or tools  Clear code, comments and documentation Collaborate with team to build and improve features   Requirements: 2+ Experience in Python, RestAPIs databases and message queues like Redis, Kafka, RabbitMQ Experience in Databases (NoSQL- MongoDB, Cassandra / SQL ...
6 Opening(s)
3.5 Year(s) To 5.4 Year(s)
12.00 LPA TO 16.00 LPA
Project Role : Application Developer  Project Role Description : Design, build and configure applications to meet business process and application requirements.                                                            ...
1 Opening(s)
2.0 Year(s) To 5.0 Year(s)
5.00 LPA TO 9.50 LPA
Min. 2 years’ experience primarily in Python & secondary in Linux   Python Exposure:   Python virtual environment pip package manager If conditions, for loops List, Dictionaries, Dataframes Packaes - Numpy, Pandas, Elasticsearch IDE --> Jupyter, Spyder, Anaconda Merging files Concatenation of files Basic aggregations Using regex Data cleaning and transformation     Linux Exposure:   Users and Groups (Basic understanding of Users and Groups, Creating users using command ...
4 Opening(s)
5.5 Year(s) To 7.5 Year(s)
11.00 LPA TO 15.00 LPA
Project Role : Application Developer  Project Role Description : Design, build and configure applications to meet business process and application requirements.                                                            ...
1 Opening(s)
3.0 Year(s) To 8.0 Year(s)
Not Disclosed by Recruiter
Qualification: Any Graduate, PG with min 3 yrs exp in Python, AI, ML & NLP.Working: Virtual / Freelancer Job description:Defining systems and application architecture.Defining the scope of the engagement and planning timelines.Must have prior experience in leading projects for Resume parser/Parsing.proficient in Python, AI, Natural language processing, Machine Learning.Development experience using ...
1 Opening(s)
0 To 0
0.00 LPA TO 0.00 LPA
We are looking for a Data Architect to build, optimize and maintain conceptual and logical database models.   Responsibilities Help to gather data requirements and collaborate with SME's to develop logical and physical data models. Develop data mapping documents for data development teams to use. Collaborate with ETL/data services team, application teams to support the ...
3 Opening(s)
2.0 Year(s) To 7.0 Year(s)
4.00 LPA TO 10.00 LPA
Responsibilities / Job Description:? As a Python & ML trainer, you will work along with a dynamic team of trainers and get to share best practices,experience, knowledge thorough your trainings? Get to solve real life problems by participating in in-house projects as a SME and thereby contributing your talentand enriching ...
1 Opening(s)
1.0 Year(s) To 5.0 Year(s)
3.50 LPA TO 8.00 LPA
Must- We are looking for a candidate who have knowledge of Python Programming. Age- 24 to 35 yrsQualification- Must be graduate, BE or MCA Must- Minimum 1–4 years of experience in software development with a focus on Natural Language Processing (NLP) and Deep Learning. Responsibilities- Requirements: Strong proficiency in Python, Object-Oriented Programming (OOP), and ...
1 Opening(s)
7.0 Year(s) To 12.0 Year(s)
Not Disclosed by Recruiter
Python, SQL, Spark, Pandas, Airflow, Azure Data Factory, or equivalent, Azure (preferred), AWS or GCP, PostgreSQL, MS SQL Server, NoSQL (MongoDB, etc.), S3, Delta Lake, Snowflake, Redshift, BigQuery, Prometheus, Grafana, ELK, etc Cloud Technologies: Familiarity with cloud platforms such as AWS, Azure, or GCP. Programming Languages: Proficiency in Python Problem-Solving: Strong analytical and problem-solving skills. Communication: Excellent communication and collaboration skills.
2 Opening(s)
5.0 Year(s) To 8.0 Year(s)
8.00 LPA TO 10.00 LPA
Must Have Skills: ML Engineer, Snowflake & MLflowExternal Description:We are seeking an ML Engineer with strong expertise in deploying, monitoring, and managing machine learning pipelines on Snowflake. The ideal candidate will act as a bridge between the Data Engineering team and the ML team, ensuring seamless integration of ML models into ...

Drop Your CV

We will consider your Profile for future Jobs

Submit Profile