Customer Success Associate

Role Overview 

As a Data Scientist, you will work with business stakeholders, AI engineers, and domain experts to transform data into actionable insights and intelligent solutions. You will develop machine learning models, perform statistical analysis, and contribute to AI-driven products that create measurable business impact. 

Key Responsibilities 

Data Science & Machine Learning 

• Analyze structured and unstructured data to identify patterns, trends, and business opportunities.  
• Perform exploratory data analysis (EDA), feature engineering, and data preparation.  
• Develop, evaluate, and optimize machine learning models for prediction, classification, clustering, and forecasting.  
• Apply statistical techniques to solve business problems and validate model performance.  
• Design and execute experiments to improve model accuracy and business outcomes.  

 AI Solution Development 

• Collaborate with AI Engineers, Data Engineers, and domain experts to build AI-powered solutions.  
• Translate business requirements into scalable data science approaches.  
• Contribute to Generative AI and advanced analytics initiatives where applicable.  
• Document methodologies, model performance, and key findings.  

 Required Technical Skills 

• Strong programming skills in Python and SQL for data analysis, feature engineering, and machine learning.  
• Strong understanding of Statistics, Probability, Linear Algebra, and Calculus as applied to machine learning and data science.  
• Experience with Exploratory Data Analysis (EDA), data preprocessing, feature engineering, feature selection, and handling missing or imbalanced data.  
• Good understanding of Supervised, Unsupervised, and Ensemble Machine Learning algorithms, including their assumptions, strengths, limitations, and appropriate use cases.  
• Strong knowledge of Regression, Classification, Clustering, Time Series Forecasting, Dimensionality Reduction, Recommendation Systems, and Anomaly Detection techniques.  
• Experience with Model Evaluation, Cross-Validation, Hyperparameter Optimization, Bias-Variance Trade-off, Feature Importance, Explainable AI (XAI), and Performance Metrics.  
• Understanding of Statistical Inference, Hypothesis Testing, Probability Distributions, Sampling Techniques, Confidence Intervals, and A/B Testing.  
• Experience translating business problems into analytical approaches and developing scalable, data-driven solutions.  
• Working knowledge of Generative AI, Large Language Models (LLMs), Prompt Engineering, and Retrieval-Augmented Generation (RAG) is preferred. 

Preferred Qualifications 

• Bachelor's or master's degree in computer science, Artificial Intelligence, Data Science, Statistics, Mathematics, Engineering, or a related field.  
• 2–4 years of experience developing machine learning or data science solutions.  
• Experience working on end-to-end data science projects in a business environment.  

 Nice to Have 

• Exposure to Generative AI, LLMs, RAG, or Agentic AI.  
• Experience with Computer Vision or Natural Language Processing (NLP).  
• Familiarity with cloud-based AI platforms.  
• Knowledge of construction, engineering, manufacturing, or industrial domains.  
• Participation in hackathons, research, Kaggle competitions, or open-source projects.  

 Soft Skills 

Strong analytical and problem-solving skills, effective communication and collaboration, ownership mindset, adaptability, continuous learning, and a passion for innovation.

CA Candidates are not applicable for this role.

2. Need candidate from Tier 1 and Tier 2 colleges only.

3. 2–3 years of hands-on experience in Financial Analysis / FP&A

4. Strong proficiency in Financial Modelling, forecasting, budgeting, and variance analysis

5. Experience preparing financial reports, presentations, and management dashboards with Advance Excel skills.

6. Strong attention to detail with high accuracy in analysis and reporting

7. Strong problem-solving skills and ability to recommend practical solutions on different Scenarios.

8. Candidate should be good in Cost Management

Job Title: Engineering Lead

Role Overview:

We are looking for an Engineering Lead to take end-to-end ownership of technical delivery, design, architecture, and quality for our multi-customer SaaS product. You will lead and mentor the engineering team, drive scalable design and high-quality delivery, manage releases across customer environments, and ensure the stability and performance of the product in production.

Key Responsibilities:

·        Delivery & Release Management: Plan and deliver product features and customer-specific releases on time with high quality, ensuring operational readiness and stability across environments.

·        Technical Design & Architecture: Lead technical design and high-scale architecture for new and existing modules, ensuring scalability, performance, and maintainability.

·        Team Management: Mentor and guide engineers, ensure clarity in priorities, unblock challenges, and foster a culture of ownership and quality within the team.

·        Requirement to Delivery: Work with product and customer teams to understand requirements, translate them into designs and implementation plans, and track them through to delivery.

·        Product Quality: Establish and maintain engineering best practices, code reviews, automated testing, and CI/CD pipelines to ensure high product quality and reliability.

·        Troubleshooting & Support: Lead the team in debugging complex issues in development and production, ensuring minimal downtime and strong customer satisfaction.

·        Hands-on Contribution: Actively contribute technically where needed, providing architectural guidance and coding support aligned with the team’s stack.

Requirements:

·        Experience: 8–12 years in software engineering with at least 3+ years in a lead role.

·        Proven experience in designing scalable, high-performance architectures and technical solutions.

·        Experience delivering multi-customer SaaS product releases, including phased and customer-specific configurations.

·        Strong track record of ensuring product quality and stability through structured processes, testing, and monitoring.

·        Ability to troubleshoot complex issues and guide teams towards resolution.

·        Experience in mentoring and managing engineering teams to drive aligned delivery and high performance.

·        Hands-on experience with your relevant tech stack (e.g., Python, Django, Angular, AWS, Docker, Redis, RabbitMQ).

·        Excellent communication and collaboration skills with Product, QA, and Customer Support teams.

·        Bachelor’s or Master’s degree in Engineering or related field.

• 3+ year of experience in Development in JAVA technology.
• Strong Java Basics
• SpringBoot or Spring MVC
• Hands on experience on Relationl Databases (SQL query or Hibernate) + Mongo (JSON parsing)
• Proficient in REST API development
• Messaging Queue (RabitMQ or Kafka)
• Microservices
• Any Caching Mechanism
• Good at problem solving

Good to Have Skills:

• 4+ years of experience in using Java/J2EE tech stacks
• Good understanding of data structures and algorithms.
• Excellent analytical and problem solving skills.
• Ability to work in a fast paced internet start-up environment.
• Experience in technical mentorship/coaching is highly desirable.
• Understanding of AI/ML algorithms is a plus.

• Expertise in developing applications on the Microsoft .NET framework.
• C#, ASP.NET MVC, .NET Core, SQL Server, Azure API, ReactJS
• Hands-on experience in .NET Core MVC, Angular/React and SQL Server, Azure
• Experience in writing NUnit test cases and GitHub
• Nice to Have Knowledge on Azure DevOps and Azure API
• Need to have Hands-on development experience