Software Test Engineer

Job description:

Job Description:

Job Title: Senior Tableau Developer

Location: Gurgaon

Experience: 4–6 Years

Salary: Negotiable

Job Summary:

We need a Senior Tableau Developer with a minimum of 4 years to join our BI team. The ideal candidate will be responsible for designing, developing, and deploying business intelligence solutions using Tableau.

Key Responsibilities:

· Design and develop interactive and insightful Tableau dashboards and visualizations.

· Optimize dashboards for performance and usability.

· Work with SQL and data warehouses (Snowflake) to fetch and prepare clean data sets.

· Gather and analyse business requirements, translate them into functional and technical specifications.

· Collaborate with cross-functional teams to understand business KPIs and reporting needs.

· Conduct unit testing and resolve data or performance issues.

· Strong understanding of data visualization principles and best practices.

Tech. Skills Required:

· Proficient in Tableau Desktop (dashboard development, storyboards)

· Strong command of SQL (joins, subqueries, CTEs, aggregation)

· Experience with large data sets and complex queries

· Experience working on any Data warehouse (Snowflake, Redshift)

· Excellent analytical and problem-solving skills.

Mail updated resume with current salary-

Website: www.glansolutions.com

Key Skill:

Tableau Developer, Snowflake, SQL, Tableau Desktop, Retail domain, Data warehouse

Job Title: Senior AI/ML/DL Engineer

Location: Hyderabad

Department: Artificial Intelligence/Machine Learning

Job Summary:

We are seeking a highly skilled and motivated Senior AI/ML/DL Engineer to contribute to

the development and implementation of advanced artificial intelligence, machine learning,

and deep learning solutions. The ideal candidate will have a strong technical background in

AI/ML/DL, hands-on experience in building scalable models, and a passion for solving

complex problems using data-driven approaches. This role involves working closely with

cross-functional teams to deliver innovative AI/ML solutions aligned with business objectives.

Key Responsibilities:

Technical Execution:

● Design, develop, and deploy AI/ML/DL models and algorithms to solve business

challenges.

● Stay up-to-date with the latest advancements in AI/ML/DL technologies and integrate

them into solutions.

● Implement best practices for model development, validation, and deployment.

Project Development:

● Collaborate with stakeholders to identify business opportunities and translate them

into AI/ML projects.

● Work on the end-to-end lifecycle of AI/ML projects, including data collection,

preprocessing, model training, evaluation, and deployment.

● Ensure the scalability, reliability, and performance of AI/ML solutions in production

environments.

Cross-Functional Collaboration:

● Work closely with product managers, software engineers, and domain experts to

integrate AI/ML capabilities into products and services.

● Communicate complex technical concepts to non-technical stakeholders effectively.

Research and Innovation:●

Explore new AI/ML techniques and methodologies to enhance solution capabilities.

● Prototype and experiment with novel approaches to solve challenging problems.

●Contribute to internal knowledge-sharing initiatives and documentation.

Quality Assurance & MLOps:

● Ensure the accuracy, robustness, and ethical use of AI/ML models.

● Implement monitoring and maintenance processes for deployed models to ensure long-term performance.

● Follow MLOps practices for efficient deployment and monitoring of AI/ML solutions.

Qualifications:

Education:

● Bachelors/Master’s or Ph.D. in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related field.

Experience:

● 5+ years of experience in AI/ML/DL, with a proven track record of delivering AI/ML solutions in production environments.

● Strong experience with programming languages such as Python, R, or Java.

● Proficiency in AI/ML frameworks and tools (e.g., TensorFlow, PyTorch, Scikit-learn,Keras).

● Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies

(e.g., Hadoop, Spark).

● Familiarity with MLOps practices and tools for model deployment and monitoring.

Skills:

● Strong understanding of machine learning algorithms, deep learning architectures,

and statistical modeling.

● Excellent problem-solving and analytical skills.

● Strong communication and interpersonal skills.

● Ability to manage multiple projects and prioritize effectively.

Preferred Qualifications:

● Experience in natural language processing (NLP), computer vision, or reinforcement

learning.

● Knowledge of ethical AI practices and regulatory compliance.

● Publications or contributions to the AI/ML community (e.g., research papers,open-source projects).

What We Offer:

● Competitive salary and benefits package.

● Opportunities for professional development and career growth.

● A collaborative and innovative work environment.

● The chance to work on impactful projects that leverage cutting-edge AI/ML technologies.

Key Responsibilities:

• Make outbound calls to customers and explain products/services in Tamil
• Handle inbound customer queries politely and professionally
• Maintain call logs, update customer records, and follow up regularly
• Achieve daily/weekly targets for call volume and lead conversion
• Provide accurate information and resolve customer concerns
• Report call status and feedback to the team lead/manager

Requirements:

• Good communication skills in Tamil (additional languages a plus)
• Basic computer knowledge and typing skills
• Patience and customer-friendly attitude
• Previous experience in telecalling or customer service is an advantage
• Minimum qualification: 10th/12th/Any Degree

Your future role within QRT

• Your core objective is to create high quality predictive signals.
• By leveraging access to large and diversified datasets you will identify statistical patterns and opportunities.
• Share and discuss research results, methodology, data sets and processes with other researchers.
• Implement the signals and relevant datasets within the global execution platform.
• Monitor signal behaviour and model performance over time.

Your present skillset

• Advanced degree in a quantitative field such as data science, statistics, mathematics, physics or engineering.
• Strong knowledge in statistics, machine learning, NLP or AI techniques is a plus.
• Capacity to multi-task in a fast paced environment while keeping strong attention to detail.
• Coding skills required in at least one leading programing language (Python, R, Matlab and /or C++, C#).
• Experience in exploring large datasets across multiple time frames is a plus.
• Intellectual curiosity to explore new data sets, solve complex problems, drive innovative processes and connect the dots between multiple fields.
• Capacity to work with autonomy within a collegial and collaborative environment.