Data Scientist

Job Overview:

We are seeking a skilled Senior Python Full Stack Developer with a strong background in application architecture and design. The ideal candidate will be proficient in Python, with extensive experience in web frameworks such as Django or Flask along with front-end technologies- React, JavaScript. You'll play a key role in designing scalable applications, collaborating with cross-functional teams, and leveraging cloud technologies.

Key Responsibilities:

• Backend Development:
• - Architect, develop, and maintain high-performance backend systems using Python or Golang.
• - Build and optimize APIs and microservices that power innovative, user-focused features.
• - Implement security and data protection measures that are scalable from day one.
• - Collaborate closely with DevOps to deploy and manage applications seamlessly in dynamic    cloud environments.
• Frontend Development:
• - Work hand-in-hand with front-end developers to integrate and harmonize backend systems with React-based applications.
• - Contribute to the UI/UX design process, ensuring an intuitive, frictionless user experience that aligns with the startup’s vision.
• - Continuously optimize web applications to ensure they are fast, responsive, and scalable as the user base grows.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 7+ years of experience in backend development, with proficiency in Python and/or Golang.
• Strong experience in front-end technologies, particularly React.
• Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization tools like Docker and Kubernetes.
• Knowledge of Apache Spark is highly preferred.
• Solid understanding of database technologies, both relational (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB, Cassandra).
• Experience with CI/CD pipelines and automated testing frameworks.
• Excellent problem-solving skills and a proactive attitude toward tackling challenges

🚀 We’re Hiring! | AI/ML Engineer – Computer Vision

📍 Location: Noida | 🕘 Full-Time

🔍 What We’re Looking For:

• 4+ years in AI/ML (Computer Vision)

• Python, OpenCV, TensorFlow, PyTorch, etc.

• Hands-on with object detection, face recognition, classification

• Git, Docker, Linux experience

• Curious, driven, and ready to build impactful products

💡 Be part of a fast-growing team, build products used by brands like Biba, Zivame, Costa Coffee & more!

Looking for Fresher Python /Django intern candidate who want to make carrer in IT company and want to learn some live project on it

location : Indore work from office

Responsibilities:

● Assist in the design, development, and maintenance of RESTful APIs using FastAPI

or Flask.

● Integrate third-party APIs and develop internal API connections.

● Support debugging and optimization tasks to enhance API performance and

reliability.

● Collaborate with front-end developers to ensure seamless integration with the

backend.

● Contribute to code reviews and maintain best practices in API development.

● (Optional) Utilize machine learning knowledge to support the development of

************************

Please call and visit office for detail discussion and for free counseling Monday To Saturday 11 Am to 7 P.M

Company name : Logical Soft Tech Pvt Ltd, Indore(M.P)

Contact : - +91-826.982.972.9(HR), +91-786.973.159.5(HR), +91-741.595.091.9(HR), +91-821.025.182.4 (technical Department),

Address: - 2nd floor, 388,PU4, Scheme 54 PU4, Next to Krozzon hotel, Infront of Old Eye Retina Hospital, Vijay Nagar, Indore, M.P

Role: Python-Django Developer 

Location: Noida, India

Description:

• Develop web applications using Python and Django.
• Write clean and maintainable code following best practices and coding standards.
• Collaborate with other developers and stakeholders to design and implement new features.
• Participate in code reviews and maintain code quality.
• Troubleshoot and debug issues as they arise.
• Optimize applications for maximum speed and scalability.
• Stay up-to-date with emerging trends and technologies in web development.

Requirements:

• Bachelor's or Master's degree in Computer Science, Computer Engineering or a related field.
• 4+ years of experience in web development using Python and Django.
• Strong knowledge of object-oriented programming and design patterns.
• Experience with front-end technologies such as HTML, CSS, and JavaScript.
• Understanding of RESTful web services.
• Familiarity with database technologies such as PostgreSQL or MySQL.
• Experience with version control systems such as Git.
• Ability to work in a team environment and communicate effectively with team members.
• Strong problem-solving and analytical skills.

Roles and

Responsibilities

Seeking AWS Cloud Engineer /Data Warehouse Developer for our Data CoE team to

help us in configure and develop new AWS environments for our Enterprise Data Lake,

migrate the on-premise traditional workloads to cloud. Must have a sound

understanding of BI best practices, relational structures, dimensional data modelling,

structured query language (SQL) skills, data warehouse and reporting techniques.

 Extensive experience in providing AWS Cloud solutions to various business

use cases.

 Creating star schema data models, performing ETLs and validating results with

business representatives

 Supporting implemented BI solutions by: monitoring and tuning queries and

data loads, addressing user questions concerning data integrity, monitoring

performance and communicating functional and technical issues.

Job Description: -

This position is responsible for the successful delivery of business intelligence

information to the entire organization and is experienced in BI development and

implementations, data architecture and data warehousing.

Requisite Qualification

Essential

-

AWS Certified Database Specialty or -

AWS Certified Data Analytics

Preferred

Any other Data Engineer Certification

Requisite Experience

Essential 4 -7 yrs of experience

Preferred 2+ yrs of experience in ETL & data pipelines

Skills Required

Special Skills Required

 AWS: S3, DMS, Redshift, EC2, VPC, Lambda, Delta Lake, CloudWatch etc.

 Bigdata: Databricks, Spark, Glue and Athena

 Expertise in Lake Formation, Python programming, Spark, Shell scripting

 Minimum Bachelor’s degree with 5+ years of experience in designing, building,

and maintaining AWS data components

 3+ years of experience in data component configuration, related roles and

access setup

 Expertise in Python programming

 Knowledge in all aspects of DevOps (source control, continuous integration,

deployments, etc.)

 Comfortable working with DevOps: Jenkins, Bitbucket, CI/CD

 Hands on ETL development experience, preferably using or SSIS

 SQL Server experience required

 Strong analytical skills to solve and model complex business requirements

 Sound understanding of BI Best Practices/Methodologies, relational structures,

dimensional data modelling, structured query language (SQL) skills, data

warehouse and reporting techniques

Preferred Skills

Required

 Experience working in the SCRUM Environment.

 Experience in Administration (Windows/Unix/Network/Database/Hadoop) is a

plus.

 Experience in SQL Server, SSIS, SSAS, SSRS

 Comfortable with creating data models and visualization using Power BI

 Hands on experience in relational and multi-dimensional data modelling,

including multiple source systems from databases and flat files, and the use of

standard data modelling tools

 Ability to collaborate on a team with infrastructure, BI report development and

business analyst resources, and clearly communicate solutions to both

technical and non-technical team members

• Collaborate with the business teams to understand the data environment in the organization; develop and lead the Data Scientists team to test and scale new algorithms through pilots and subsequent scaling up of the solutions
• Influence, build and maintain the large-scale data infrastructure required for the AI projects, and integrate with external IT infrastructure/service
• Act as the single point source for all data related queries; strong understanding of internal and external data sources; provide inputs in deciding data-schemas
• Design, develop and maintain the framework for the analytics solutions pipeline
• Provide inputs to the organization’s initiatives on data quality and help implement frameworks and tools for the various related initiatives
• Work in cross-functional teams of software/machine learning engineers, data scientists, product managers, and others to build the AI ecosystem
• Collaborate with the external organizations including vendors, where required, in respect of all data-related queries as well as implementation initiatives