Data Science

Responsibilities :

• Involved in detailing and implementing user stories. 
• Understand the technical specifications and design the solutions. 
• Validate and implement the integration components of the third-party applications. 
• Build scalable and fault-tolerant software solutions adhering to the organization's secured coding standards. 
• Strive for 100% unit test code coverage. 
• Do code quality checks and code reviews regularly to ensure safe and efficient code. 
• Verify and deploy software solutions for development needs. 
• Work closely with the team to deliver the sprint objectives. 
• Continuously look to improve the organization's standards. 

Requirement

• A Bachelor’s / Master’s Degree in Engineering or Information Technology. 
• 4-7 years of software development experience with 2+ years of experience with Python programming language. 
• A thorough understanding of computer architecture, operating systems, and data structures. 
• An in-depth understanding of the Internet, Cloud Computing & Services, and REST APIs. 
• Must have experience with any one of the Python frameworks like Flask / FastAPI / Django REST. 
• Must know GIT and Python virtual environment. 
• Should have experience with Python requests module. 
• Must know how to use third-party libraries in Python. 
• Knowledge of Python module/library creation will be added advantageous. 
• Familiarity with SIEM tools like the Qradar app / Splunk app and Splunk add-on will be an advantage. 
• Experience working with Linux/Unix and shell scripts. 
• Experience working with Linux/Unix and shell scripts 
• A meticulous and organized approach to work. 
• A logical, analytical, and creative approach to problem-solving. 
• A thorough, detail-oriented work style.

We are hiring Research Associates for a AI project for Gurgaon location. The Research Associate role is focused on Prompt Writing, Annotation and Labeling in which you will focus on the improvement of an AI engine.

In addition to an ability to write clearly and concisely, successful Research Associates must be able to tailor their writing style to each assignment’s requirements.

The ideal candidates will have a solid ability to focus on efficiency and problem-solving, and excellent writing and reading comprehension skills – including experience in creating and composing text within a specified amount of time.

Key Responsibilities:

• Work on various client projects to train generative AI models, by creating prompts and responses based on the instructions provided and on using established best practices for quality prompts.
• Given examples, generate similar prompts and responses.
• Use a variety of communication channels such as Slack, Teams, and SharePoint, to learn about new projects, collaborate with your team, and ask questions.
• Learn new software programs on the job.
• Providing supporting documentation when the AI fails.

Requirements

• Experience – 0-2 years
• Excellent Communication skills (Oral and Written)
• Qualification: Bachelor's degree (any stream)
• Preferred: Good understanding of AI.
• Ability to gain new skills and knowledge through hands-on experience
• Keen eye for detail.
• Demonstrated ability to work independently
• Strong time management skills
• Exemplify the quality of doing "get it done attitude," including a high level of accountability, transparency, and teamwork first & foremost

LogiNext is looking for a technically savvy and passionate Senior Software Engineer - Data Science to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights.

In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research.

Your goal will be to help our company analyze trends to make better decisions. Without knowledge of how the software works, data scientists might have difficulty in work. Apart from experience in developing R and Python, they must know modern approaches to software development and their impact. DevOps continuous integration and deployment, experience in cloud computing are everyday skills to manage and process data.

Responsibilities :

Adapting and enhancing machine learning techniques based on physical intuition about the domain Design sampling methodology, prepare data, including data cleaning, univariate analysis, missing value imputation, , identify appropriate analytic and statistical methodology, develop predictive models and document process and results Lead projects both as a principal investigator and project manager, responsible for meeting project requirements on schedule and on budget Coordinate and lead efforts to innovate by deriving insights from heterogeneous sets of data generated by our suite of Aerospace products Support and mentor data scientists Maintain and work with our data pipeline that transfers and processes several terabytes of data using Spark, Scala, Python, Apache Kafka, Pig/Hive & Impala Work directly with application teams/partners (internal clients such as Xbox, Skype, Office) to understand their offerings/domain and help them become successful with data so they can run controlled experiments (a/b testing) Understand the data generated by experiments, and producing actionable, trustworthy conclusions from them Apply data analysis, data mining and data processing to present data clearly and develop experiments (ab testing) Work with development team to build tools for data logging and repeatable data tasks tol accelerate and automate data scientist duties

Requirements:

Bachelor’s or Master’s degree in Computer Science, Math, Physics, Engineering, Statistics or other technical field. PhD preferred 4 to 7 years of experience in data mining, data modeling, and reporting 3+ years of experience working with large data sets or do large scale quantitative analysis Expert SQL scripting required Development experience in one of the following: Scala, Java, Python, Perl, PHP, C++ or C# Experience working with Hadoop, Pig/Hive, Spark, MapReduce Ability to drive projects Basic understanding of statistics – hypothesis testing, p-values, confidence intervals, regression, classification, and optimization are core lingo Analysis - Should be able to perform Exploratory Data Analysis and get actionable insights from the data, with impressive visualization. Modeling - Should be familiar with ML concepts and algorithms; understanding of the internals and pros/cons of models is required. Strong algorithmic problem-solving skills Experience manipulating large data sets through statistical software (ex. R, SAS) or other methods Superior verbal, visual and written communication skills to educate and work with cross functional teams on controlled experiments Experimentation design or A/B testing experience is preferred. Experince in team management.