Sales Specialist

We are seeking a motivated and experienced Store Manager to oversee daily operations at our retail locations. The Store Manager will be responsible for ensuring the store operates efficiently, meeting sales targets, delivering exceptional customer service, and managing staff.

Key Responsibilities:

• Oversee daily store operations, ensuring everything runs smoothly and efficiently.
• Manage and lead a team of sales associates, setting goals and providing coaching to ensure targets are met.
• Maintain high standards of customer service, addressing customer concerns and feedback.
• Monitor inventory levels, order stock, and manage product displays.
• Analyze sales data and prepare reports for senior management.
• Implement promotional activities and sales strategies to drive revenue.
• Ensure compliance with all company policies, health and safety regulations, and local laws.
• Conduct regular store audits and ensure the store's appearance is up to company standards.
• Handle store budgets, payroll, and scheduling efficiently.

Requirements:

• Bachelor's degree in Business Administration, Retail Management, or a related field.
• Proven experience as a Store Manager or in a similar retail management role.
• Strong leadership and interpersonal skills.
• Excellent communication and organizational abilities.
• Ability to manage multiple tasks simultaneously and work under pressure.
• Proficiency in MS Office and retail management software.
• Flexibility to work in different shifts, including weekends.

Preferred Qualifications:

• Experience in retail sales or customer service.
• Knowledge of visual merchandising techniques.
• Ability to motivate a team and drive sales performance.

Job Description:

1.     Machine Learning Development & Deployment

·      Design and implement supervised and unsupervised models for predictive analytics, including churn prediction, demand forecasting, renewal risk scoring, and cross sell/upsell opportunity identification.

·      Translate business problems into ML frameworks and production solutions that improve efficiency, revenue, or customer experience.

·      Build, optimize, and maintain ML pipelines using tools such as MLflow, Airflow, or Kubeflow.

2.     Cross-Functional ML Use Cases

·      Partner with teams across Sales (e.g., lead scoring, next-best action), Customer Service (e.g., case deflection, sentiment analysis), Finance (e.g., revenue forecasting, fraud detection), Supply Chain (e.g., inventory optimization, ETA prediction), and Order Fulfillment (e.g., delivery risk modeling) to define impactful ML use cases.

·      Develop domain-specific models and continuously improve them using feedback loops and real-world performance data. 3.

3.      Model Governance and MLOps

·      Ensure robust model monitoring, versioning, and retraining strategies to keep models reliable in dynamic environments.

·      Work closely with DevOps and Data Engineering teams to automate deployment, CI/CD workflows, and cloud-native ML infrastructure (AWS/GCP/Azure).

4. Data Engineering and Feature Architecture

·      Collaborate with data engineers to define feature stores, data quality checks, and model-ready datasets on platforms like Snowflake or Databricks.

·      Perform feature selection, transformation, and engineering aligned with each domain’s business logic. 5. Communication & Stakeholder Collaboration

·      Present technical insights and model results to business and executive stakeholders in a clear, actionable format.

·      Work with Product Owners and Program Managers to scope, prioritize, and plan delivery of ML projects.

Qualifications:

Required

• Bachelor’s or Master’s degree in (e.g., Computer Science, Engineering, Statistics, Mathematics)

• 4+ years of experience in machine learning, data science.

• Proficiency in Python, XGBoost, PyTorch, TensorFlow, or similar.

• Experience deploying models into production using ML pipelines and orchestration frameworks.

• Strong understanding of data structures, SQL, and cloud platforms (e.g., AWS SageMaker, Azure ML, or GCP Vertex AI).

• Hands-on experience in implementing machine learning algorithms such as Random Forest, XGBoost, Logistic Regression, and Deep Learning techniques including Neural Networks (ANN, CNN)

Preferred:

• Experience supporting business functions such as Finance, Sales, or Operations with ML use cases.

• Familiarity with MLOps tools (MLflow, SageMaker Pipelines, Feature Store).

• Exposure to enterprise data platforms (e.g., Snowflake, Oracle Fusion, Salesforce).

• Background in statistics, forecasting, optimization, or recommendation systems.

Strong DevOps /Cloud Engineer Profiles

Mandatory (Experience 1) – Must have 3+ years of experience as a DevOps / Cloud Engineer

Mandatory (Experience 2) – Must have strong expertise in cloud platforms – AWS / Azure / GCP (any one or more)

Mandatory (Experience 3) – Must have strong hands-on experience in Linux administration and system management

Mandatory (Experience 4) – Must have hands-on experience with containerization and orchestration tools such as Docker and Kubernetes

Mandatory (Experience 5) – Must have experience in building and optimizing CI/CD pipelines using tools like GitHub Actions, GitLab CI, or Jenkins

Mandatory (Experience 6) – Must have hands-on experience with Infrastructure-as-Code tools such as Terraform, Ansible, or CloudFormation

Mandatory (Experience 7) – Must be proficient in scripting languages such as Python or Bash for automation

Mandatory (Experience 8) – Must have experience with monitoring and alerting tools like Prometheus, Grafana, ELK, or CloudWatch

Mandatory (Company) – Top tier Product-based company (B2B Enterprise SaaS preferred)

Purpose of Job:
We are looking for an exceptionally talented Lead data engineer who has
exposure in implementing AWS services to build data pipelines, api
integration and designing data warehouse. Candidate with both hands-on
and leadership capabilities will be ideal for this position.

Job Responsibilities:
• Total 6+ years of experience as a Data Engineer and 2+
years of experience in managing a team
• Have minimum 3 years of AWS Cloud experience.
• Well versed in languages such as Python, PySpark, SQL, NodeJS etc
• Has extensive experience in Spark ecosystem and has
worked on both real time and batch processing
• Have experience in AWS Glue, EMR, DMS, Lambda, S3, DynamoDB, Step functions, Airflow, RDS, Aurora etc.
• Experience with modern Database systems such as
Redshift, Presto, Hive etc.
• Worked on building data lakes in the past on S3 or
Apache Hudi • Solid understanding of Data Warehousing Concepts
• Good to have experience on tools such as Kafka or Kinesis
• Good to have AWS Developer Associate or Solutions
Architect Associate Certification
• Have experience in managing a team

Qualifications:
At least a bachelor’s degree in Science, Engineering, Applied
Mathematics. Preferred Masters degree. Other Requirements: Team Management skills, Learning Attitude, Ownership skills

Job Title:

Design Engineer

Location:

Hubballi, Dharwad, Chennai, Goa, Belur, Tumkur

Qualification:

B.E / Dip (Mechanical )

Experience (in years):

2+ years

Summary of Skill set 

·      Experience in CAD software Solid Edge

·      Experience in UGNX, Sheet Metal Design and CATIA

·      3D Modeling of part, sub-assemblies & Assembly modeling

·      2D drafting and detailing with GD & T application.

·      Skilled in creating / reading / interpreting engineering drawings.

Personality profile

·      Proficiency in English (Written and Verbal)

·      Effective communication

·      Strong interpersonal skills, proactive approach

·      Self-starter and must be highly resourceful with the ability to be effective independently and with little direction