Sr. Data Scientist

Job Title: Technical Support Executive

Location: Hyderabad (Work from Office)

Qualification: B.Tech (Mandatory)

Languages Required: Telugu or Hindi (Mandatory)

Working Days: Tuesday to Sunday (Monday fixed off)

Job Description:

We are looking for a Technical Support Executive to handle customer queries and technical issues efficiently. The ideal candidate should have hands-on experience with Postman and knowledge of RESTful API requests for updating or modifying existing records.

Key Responsibilities:

• Handle both inbound and outbound calls to assist customers with technical issues.
• Diagnose, troubleshoot, and resolve user issues using Postman.
• Work with RESTful API requests to update or modify existing records as required.
• Deliver timely and effective resolutions within defined turnaround time (TAT).
• Understand the nature of reported issues and apply appropriate problem-solving techniques.
• Ensure clear and professional communication with users throughout the resolution process.
• Escalate complex issues to the L2 team and follow up until closure.

Requirements:

• B.Tech in any specialization (mandatory).
• Proficiency in Telugu or Hindi for effective user communication.
• Good understanding of APIs, Postman, and basic troubleshooting.
• Strong communication and problem-solving skills.
• Ability to work in a fast-paced, customer-focused environment.

Data Modeller (Dimensional Modelling & SQL Focus)

Core Responsibilities:

Design and implement dimensional data models (star/snowflake schemas) optimized for reporting and analytics.

.Key Skills:

Deep understanding of data warehousing principles and Kimball/Inmon methodologies.

Expertise in SQL, Databricks SQL, and data cataloging tools.

Ability to work with source system SMEs to understand data lineage and semantics. Reporting

Relevance :Ensures data structures are optimized for Power BI, Tableau, or other BI tools, enabling performant and intuitive reporting.

We will share our workload as a team and we expect you to work on a broad range of tasks. Here’s are some of the things you might have to do on any given day:

• Developing APIs and endpoints for deployments of our product
• Infrastructure Development such as building databases, creating and maintaining automated jobs
• Build out the back-end to deploy and scale our product
• Build POCs for client deployments
• Document your code, write test cases, etc.

• Research and test novel machine learning approaches for analysing large-scale distributed computing applications.
• Develop production-ready implementations of proposed solutions across different models AI and ML algorithms, including testing on live customer data to improve accuracy,  efficacy, and robustness
• Work closely with other functional teams to integrate implemented systems into the SaaS platform
• Suggest innovative and creative concepts and ideas that would improve the overall platform

‍

The ideal candidate must have the following qualifications:

• 5 + years experience in practical implementation and deployment of large customer-facing ML based systems.
• MS or M Tech (preferred) in applied mathematics/statistics;  CS or Engineering disciplines are acceptable but must have with strong quantitative and applied mathematical skills
• In-depth working, beyond coursework, familiarity with classical and current ML techniques, both supervised and unsupervised learning techniques and algorithms
• Implementation experiences and deep knowledge of Classification, Time Series Analysis, Pattern Recognition, Reinforcement Learning, Deep Learning, Dynamic Programming and Optimization
• Experience in working on modeling graph structures related to spatiotemporal systems
• Programming skills in Python is a must
• Experience in developing and deploying on cloud (AWS or Google or Azure)
• Good verbal and written communication skills
• Familiarity with well-known ML frameworks such as Pandas, Keras, TensorFlow

Most importantly, you should be someone who is passionate about building new and innovative products that solve tough real-world problems.

Chennai, India

• Manage sales operations in assigned district to achieve revenue goals.
• Supervise sales team members; the BSMs, on daily basis and provide guidance whenever needed.
• Identify skill gaps and conduct trainings to sales team.
• Work with team to implement new sales techniques to obtain profits.
• Assist in employee recruitment, promotion, retention and termination activities.
• Conduct employee performance evaluation and provide feedback for improvements.
• Contact potential customers and identify new business opportunities.
• Stay abreast with customer needs, market trends and competitors.
• Maintain clear and complete sales reports for management review.
• Build strong relationships with customers for business growth.
• Analyze sales performances and recommend improvements.
• Ensure that sales team follows company policies and procedures at all times.
• Develop promotional programs to increase sales and revenue.
• Plan and coordinate sales activities for assigned projects.
• Provide outstanding services and ensure customer satisfaction.