



CommerceIQ is Hiring Data Scientist (3-5 yrs)
At CommerceIQ, we are building the world’s most sophisticated E-commerce Channel Optimization software to help brands leverage Machine Learning, Analytics and Automation to grow their E-commerce business on all channels, globally.
Using CommerceIQ as a single source of truth, customers have driven 40% increase in incremental sales, 20% improvement in profitability and 32% reduction in out of stock rates on Amazon.
What You’ll Be Doing
As a Senior Data Scientist, you will work closely with Engineering/Product/Operations teams to build state-of-the-art ML based solutions for B2B SaaS products. This entails not only leveraging advanced techniques for predictions, time-series forecasting, topic modelling, optimisation but deep understanding of business and product too.
- Apply excellent problem solving skills to deconstruct and formulate solutions from first-principles
- Work on data science roadmap and build the core engine of our flagship CommerceIQ product
- Collaborate with product and engineering to design product strategy, identify key metrics to drive and support with proof of concept
- Perform rapid prototyping of experimental solutions and develop robust, sustainable and scalable production systems
- Work with large scale ecommerce data of the biggest brands on amazon
- Apply out-of-the-box, advanced algorithms to complex problems in real-time systems
- Drive productization of techniques to be made available to a wide range of customers
- You would be working with and mentoring fellow team members on the owned charter
What we are looking for -
- Bachelor’s or Masters in Computer Science or Maths/Stats from a reputed college with 4+ years of experience in solving data science problems that have driven value to customers
- Good depth and breadth in machine learning (theory and practice), optimization methods, data mining, statistics and linear algebra. Experience in NLP would be an advantage
- Hands-on programming skills and ability to write modular and scalable code in Python/R. Knowledge of SQL is required
- Familiarity with distributed computing architecture like Spark, Map-Reduce paradigm and Hadoop will be an added advantage
- Strong spoken and written communication skills, able to explain complex ideas in a simple, intuitive manner, write/maintain good technical documentation on projects
- Experience with building ML data products in an engineering organization interfacing with other teams and departments to deliver impact
- We are looking for candidates who are curious and self-starters; obsess over customer problems to deliver maximum value to them.
- Data scientist, Machine Learning, data science, data analyst
Job Type: Full-time
Experience:
- Data Scientist: 3 years (Required)
Application Question:
- Looking for product based industry experience from tier 1 /tier 2 colleges (NIT ,BIT, IIT,IIIT, BITS, Strong Profiles)

About CommerceIQ
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1–3 years of experience in Customer Success, Technical Support, or Client-Facing roles in a B2B SaaS environment
● Strong communication skills and a customer-first mindset
● Proven ability to support software products for HR or engineering teams
● Experience working directly with business clients and resolving customer issues
● Basic coding knowledge or technical literacy (e.g., ability to read or understand code
logic)

SENIOR DATA ENGINEER:
ROLE SUMMARY:
Own the design and delivery of petabyte-scale data platforms and pipelines across AWS and modern Lakehouse stacks. You’ll architect, code, test, optimize, and operate ingestion, transformation, storage, and serving layers. This role requires autonomy, strong engineering judgment, and partnership with project managers, infrastructure teams, testers, and customer architects to land secure, cost-efficient, and high-performing solutions.
RESPONSIBILITIES:
- Architecture and design: Create HLD/LLD/SAD, source–target mappings, data contracts, and optimal designs aligned to requirements.
- Pipeline development: Build and test robust ETL/ELT for batch, micro-batch, and streaming across RDBMS, flat files, APIs, and event sources.
- Performance and cost tuning: Profile and optimize jobs, right-size infrastructure, and model license/compute/storage costs.
- Data modeling and storage: Design schemas and SCD strategies; manage relational, NoSQL, data lakes, Delta Lakes, and Lakehouse tables.
- DevOps and release: Establish coding standards, templates, CI/CD, configuration management, and monitored release processes.
- Quality and reliability: Define DQ rules and lineage; implement SLA tracking, failure detection, RCA, and proactive defect mitigation.
- Security and governance: Enforce IAM best practices, retention, audit/compliance; implement PII detection and masking.
- Orchestration: Schedule and govern pipelines with Airflow and serverless event-driven patterns.
- Stakeholder collaboration: Clarify requirements, present design options, conduct demos, and finalize architectures with customer teams.
- Leadership: Mentor engineers, set FAST goals, drive upskilling and certifications, and support module delivery and sprint planning.
REQUIRED QUALIFICATIONS:
- Experience: 15+ years designing distributed systems at petabyte scale; 10+ years building data lakes and multi-source ingestion.
- Cloud (AWS): IAM, VPC, EC2, EKS/ECS, S3, RDS, DMS, Lambda, CloudWatch, CloudFormation, CloudTrail.
- Programming: Python (preferred), PySpark, SQL for analytics, window functions, and performance tuning.
- ETL tools: AWS Glue, Informatica, Databricks, GCP DataProc; orchestration with Airflow.
- Lakehouse/warehousing: Snowflake, BigQuery, Delta Lake/Lakehouse; schema design, partitioning, clustering, performance optimization.
- DevOps/IaC: Terraform with 15+ years of practice; CI/CD (GitHub Actions, Jenkins) with 10+ years; config governance and release management.
- Serverless and events: Design event-driven distributed systems on AWS.
- NoSQL: 2–3 years with DocumentDB including data modeling and performance considerations.
- AI services: AWS Entity Resolution, AWS Comprehend; run custom LLMs on Amazon SageMaker; use LLMs for PII classification.
NICE-TO-HAVE QUALIFICATIONS:
- Data governance automation: 10+ years defining audit, compliance, retention standards and automating governance workflows.
- Table and file formats: Apache Parquet; Apache Iceberg as analytical table format.
- Advanced LLM workflows: RAG and agentic patterns over proprietary data; re-ranking with index/vector store results.
- Multi-cloud exposure: Azure ADF/ADLS, GCP Dataflow/DataProc; FinOps practices for cross-cloud cost control.
OUTCOMES AND MEASURES:
- Engineering excellence: Adherence to processes, standards, and SLAs; reduced defects and non-compliance; fewer recurring issues.
- Efficiency: Faster run times and lower resource consumption with documented cost models and performance baselines.
- Operational reliability: Faster detection, response, and resolution of failures; quick turnaround on production bugs; strong release success.
- Data quality and security: High DQ pass rates, robust lineage, minimal security incidents, and audit readiness.
- Team and customer impact: On-time milestones, clear communication, effective demos, improved satisfaction, and completed certifications/training.
LOCATION AND SCHEDULE:
● Location: Outside US (OUS).
● Schedule: Minimum 6 hours of overlap with US time zones.
Job Title: Assistant Manager - Sales - BUILDING AUTOMATION SOLUTIONS
1. Job Overview: The position requires a dynamic Sales and Marketing Engineer with experience in BUILDING AUTOMATION SOLUTIONS Project Sales. The role involves driving sales, building client
relationships, and promoting BUILDING AUTOMATION SOLUTIONS to achieve business objectives.
2. Responsibilities:
Sales and Marketing Strategy:
Develop and implement comprehensive sales and marketing strategies for BUILDING
AUTOMATION SOLUTIONS.
Identify and pursue new business opportunities in target markets and industry segments.
Collaborate with the marketing team to create compelling promotional materials.
Client Engagement:
Build and maintain strong relationships with existing clients while actively seeking new
partnerships.
Conduct client needs assessments and propose tailored BUILDING AUTOMATION
SOLUTIONS
Conduct product demonstrations and presentations to showcase the benefits of offerings.
Technical Expertise:
Possess in-depth technical knowledge of BUILDING AUTOMATION SOLUTIONS & ELV
systems.
Provide technical support to clients during pre-sales and post-sales phases.
Stay abreast of industry trends to position solutions competitively.
Market Analysis:
Conduct market research to identify industry trends, competitor activities, and market
demands.
Analyze customer feedback and market dynamics to enhance product offerings.
3. Qualifications:
Bachelor's degree in Instrumentational / Electronics Engineering, Automation, or a related
field.
Proven experience in sales and marketing of BUILDING AUTOMATION SOLUTIONS.
Strong technical understanding of HVAC and BUILDING AUTOMATION SOLUTIONS.
Excellent communication and presentation skills.
Results-oriented with a track record of meeting or exceeding sales targets.
4. Key Skills:
Automation Sales BUILDING AUTOMATION SOLUTIONS/ELV /Project Sales
Additional Skills:
Automation Products/Project Knowledge.
5. Benefits
Competitive salary and commission structure.
Health insurance and other benefits.
Opportunities for professional development.
Experiences: 8 – 10 years
Salary: As per industry norms
Company Description
KGISL Institute of Technology is a higher education institution located in Coimbatore, Tamil Nadu, India. As part of the KGISL Campus, the institute is committed to delivering quality education in the field of technology. With a focus on both theoretical and practical learning, KGISL Institute of Technology aims to produce skilled professionals who can meet the demands of the industry.
Role Description
This is a full-time on-site role for an Assistant Professor in the Computer Science and Engineering (CSE) department. Located in Coimbatore, the Assistant Professor will be responsible for teaching undergraduate and graduate courses, guiding student projects, and conducting research. Day-to-day tasks will include preparing lecture materials, evaluating student performance, mentoring students, and participating in faculty meetings. The role also involves contributing to curriculum development and engaging in departmental activities.
Qualifications
- Strong knowledge in Computer Science and Engineering subjects
- Experience in teaching at the undergraduate and graduate levels
- Research skills and the ability to guide student projects
- Excellent written and verbal communication skills
- Proficiency in curriculum development and academic assessment
- Master's degree in Computer Science, Engineering, or a related field
- Experience in the use of digital tools and teaching technologies is an advantage
- Commitment to continuous improvement and professional development
A Sales Team Leader is responsible for managing and guiding a team of sales representatives to meet and exceed sales targets. Below is a typical job description for this role:
The Sales Team Leader will be responsible for overseeing the daily operations of the sales team, ensuring the team meets or exceeds sales goals, and providing support and training to sales representatives. The Sales Team Leader will act as a role model for the team, driving performance, and promoting a positive, results-driven environment.
Key Responsibilities:
Team Management: Supervise, motivate, and lead a team of sales representatives to achieve individual and team sales targets.
Sales Strategy Implementation: Assist in developing and implementing effective sales strategies to drive business growth.
Training and Development: Provide ongoing training, mentoring, and development to team members to enhance their sales skills and product knowledge.
Performance Monitoring: Track and evaluate individual and team performance, providing feedback and coaching to improve outcomes.
Customer Relationship Management: Maintain strong relationships with key clients and manage high-level customer interactions to ensure customer satisfaction.
Reporting: Prepare and present regular sales reports to senior management, highlighting achievements, challenges, and recommendations.
Problem-Solving: Address any issues or conflicts within the team, ensuring they are resolved effectively and promptly.
Collaboration: Work closely with other departments, such as marketing and customer service, to align sales strategies with overall business goals.
Target Setting: Assist in setting sales targets for the team and ensure these are communicated clearly to all team members.
Market Analysis: Keep up-to-date with industry trends, market conditions, and competitors to make informed sales decisions.
Qualifications:
Education: Bachelor’s degree in Business, Marketing, or a related field (preferred).
Experience: Minimum of 3 years of experience in sales, with at least 5 years in a leadership or supervisory role.
Skills:
Strong leadership and team management skills.
Excellent communication and interpersonal abilities.
Proven track record of meeting or exceeding sales targets.
Ability to analyze sales data and market trends.
Strong problem-solving skills and the ability to make decisions under pressure.
Proficiency in CRM software and MS Office Suite.
Personal Attributes:
Goal-oriented and results-driven.
Motivational leader with the ability to inspire and influence others.
High level of integrity and professionalism.
Adaptability and ability to work in a fast-paced environment.
We are looking for a Rust Developer to join our cutting-edge development team as it grows. The candidate must be comfortable working in an agile environment and can take the lead when necessary.
Responsibilities:
- Responsible for developing the product as per the product specification defined by the product managers
- Responsible for performing research on the best methods of implementing the requirements
- Author and curate technical documentation to support delivery, maintenance, and adoption
- Work with programmers, engineers, and management heads to identify process improvement opportunities, propose system modifications, and devise governance strategies to optimise the overall performance
- Design and develop automated deployment and maintenance mechanisms
- Solving development challenges and making architectural decisions by understanding the larger picture of the project goals
- Expanding your existing skill set, and picking up on various rust-dependent frameworks
- Confidently communicating and collaborating with your fellow developers in an office set-up.
Requirements:
- Must have experience in Rust programming language
- Have excellent knowledge of different data structures and algorithms
- Working knowledge of any other programming language Python, Java, or JavaScript is good to have
- Experience with, or understanding of, Kafka or Redis, Cloud infrastructure services, and Docker is an added advantage
- Experience with SQL or NoSQL databases, MySQL, MongoDB, Elasticsearch, etc.
- Experience in Backend and APIs development
- Experience in analysing and optimising the platform's performance
- Strong knowledge of JavaScript.
- Knowledge of and its frameworks.
- Knowledge of NodeJS deployment over servers like AWS, the digital ocean.
- Good understanding of relational databases. Having experience with MongoDB will be an advantage.
- Proficiency in handling server-side development, deployment, and debugging.
- Having worked in socket programming is an added advantage.
- Good understanding of code versioning tools, such as Git.

