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JOB SUMMARY:  The Senior Associate supports the Data Analytics Manager by proposing relevant analytics procedures/tools, executing the analytics and also developing visualization outputs for audits, continuous monitoring/auditing and IA initiatives. The individual’s responsibilities include -

Understanding audit and/or project objectives and assisting the manager in preparing the plan and timelines.

Working with the Process/BU/IA teams for gathering requirements for continuous monitoring/auditing projects.

Working with Internal audit project teams to understand the analytics requirements for audit engagements.

Independently build pilot/prototype, determine appropriate visual tool and design the views to meet project objectives.

Proficient in data management and data mining.

Highly skilled on visualization tools like Qlik View, Qlik Sense, Power BI, Tableau, Alteryx etc.

Working with Data Analytics Manager to develop analytics program aligned to the overall audit plan.

Showcasing analytics capability to Process management teams to increase adoption of continuous monitoring.

Establishing and maintaining relationships with all key stakeholders of internal audit.

Coaching other data analysts on analytics procedures, coding and tools.

Taking a significant and active role in developing and driving Internal Audit Data Analytics quality and knowledge sharing to enhance the value provided to Internal Audit stakeholders.

Ensuring timely and accurate time tracking.

Continuously focusing on self-development by attending trainings, seminars and acquiring relevant certifications.

Hi,

PFB the Job Description for Data Science with ML

Type of hire                  : PWD and Non PWD

Employment Type    : Full Time

Notice Period            : Immediate Joiner

Work Days                    : Mon - Fri

About Ampera:

Ampera Technologies, a purpose driven Digital IT Services with primary focus on supporting our client with their Data, AI / ML, Accessibility and other Digital IT needs. We also ensure that equal opportunities are provided to Persons with Disabilities Talent. Ampera Technologies has its Global Headquarters in Chicago, USA and its Global Delivery Center is based out of Chennai, India. We are actively expanding our Tech Delivery team in Chennai and across India. We offer exciting benefits for our teams, such as 1) Hybrid and Remote work options available, 2) Opportunity to work directly with our Global Enterprise Clients, 3) Opportunity to learn and implement evolving Technologies, 4) Comprehensive healthcare, and 5) Conducive environment for Persons with Disability Talent meeting Physical and Digital Accessibility standards

About the Role

We are looking for a skilled Data Scientist with strong Machine Learning experience to design, develop, and deploy data-driven solutions. The role involves working with large datasets, building predictive and ML models, and collaborating with cross-functional teams to translate business problems into analytical solutions.

Key Responsibilities

• Analyze large, structured and unstructured datasets to derive actionable insights.
• Design, build, validate, and deploy Machine Learning models for prediction, classification, recommendation, and optimization.
• Apply statistical analysis, feature engineering, and model evaluation techniques.
• Work closely with business stakeholders to understand requirements and convert them into data science solutions.
• Develop end-to-end ML pipelines including data preprocessing, model training, testing, and deployment.
• Monitor model performance and retrain models as required.
• Document assumptions, methodologies, and results clearly.
• Collaborate with data engineers and software teams to integrate models into production systems.
• Stay updated with the latest advancements in data science and machine learning.

Required Skills & Qualifications

• Bachelor’s or Master’s degree in computer science, Data Science, Statistics, Mathematics, or related fields.
• 5+ years of hands-on experience in Data Science and Machine Learning.
• Strong proficiency in Python (NumPy, Pandas, Scikit-learn).
• Experience with ML algorithms:
• Regression, Classification, Clustering
• Decision Trees, Random Forest, Gradient Boosting
• SVM, KNN, Naïve Bayes
• Solid understanding of statistics, probability, and linear algebra.
• Experience with data visualization tools (Matplotlib, Seaborn, Power BI, Tableau – preferred).
• Experience working with SQL and relational databases.
• Knowledge of model evaluation metrics and optimization techniques.

Preferred / Good to Have

• Experience with Deep Learning frameworks (TensorFlow, PyTorch, Keras).
• Exposure to NLP, Computer Vision, or Time Series forecasting.
• Experience with big data technologies (Spark, Hadoop).
• Familiarity with cloud platforms (AWS, Azure, GCP).
• Experience with MLOps, CI/CD pipelines, and model deployment.

Soft Skills

• Strong analytical and problem-solving abilities.
• Excellent communication and stakeholder interaction skills.
• Ability to work independently and in cross-functional teams.
• Curiosity and willingness to learn new tools and techniques.

Accessibility & Inclusion Statement

We are committed to creating an inclusive environment for all employees, including persons with disabilities. Reasonable accommodations will be provided upon request.

Equal Opportunity Employer (EOE) Statement

Ampera Technologies is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

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To manage the overall operations and sales performance of the interior design and home décor store. The Stores Sales Manager is responsible for achieving sales targets, ensuring excellent customer experience, supervising the design consultants and sales team, and maintaining the brand’s premium standards in store presentation and service.

Key Responsibilities:

1. Sales & Revenue Management

• Achieve monthly and quarterly sales targets for the store.
• Drive conversion rates by ensuring strong customer engagement and effective product presentation.
• Monitor sales trends and customer preferences to suggest improvements in product mix and display.
• Implement promotional campaigns and sales strategies to boost revenue.

2. Team Leadership & Performance

• Supervise, train, and motivate the sales and design consultant team to deliver high-quality service.
• Conduct daily briefings and set individual sales goals.
• Monitor staff performance and provide regular feedback and coaching.
• Ensure proper shift scheduling and adequate manpower coverage.

3. Customer Experience & Service Excellence

• Ensure every customer receives professional interior design consultation and personalized service.
• Handle escalations or special client requests efficiently.
• Maintain client relationships for repeat and referral business.
• Oversee post-sales follow-ups, installation coordination, and satisfaction feedback.

4. Store Operations & Visual Merchandising

• Maintain store ambience, layout, and visual display standards as per brand guidelines.
• Ensure accurate stock management and inventory control.
• Coordinate with logistics and warehouse teams for product deliveries and replenishments.
• Ensure store cleanliness, safety, and maintenance compliance.

5. Reporting & Coordination

• Prepare daily, weekly, and monthly sales reports.
• Track key performance metrics (footfall, conversion, average ticket size, etc.).
• Collaborate with marketing, design, and operations teams for smooth execution of campaigns and projects.
• Provide feedback to management on market trends, competitor activity, and customer insights.

Qualifications & Experience:

• Bachelor’s degree in Business Administration, Interior Design, Marketing, or related field.
• 5–8 years of retail sales experience, preferably in interior design, home décor, furniture, or luxury retail.
• Proven experience in managing store teams and achieving sales targets.
• Strong understanding of interior design products and customer consultation process.

Key Skills Required:

• Excellent communication and interpersonal skills.
• Strong leadership and team management abilities.
• Customer-centric mindset with focus on quality service.
• Sales-driven and result-oriented approach.
• Good knowledge of visual merchandising and store operations.
• Proficiency in MS Office and CRM software.

Performance Indicators (KPIs):

• Monthly sales achievement vs. target.
• Conversion rate and average ticket value.
• Customer satisfaction and feedback ratings.
• Store presentation audit score.
• Employee productivity and retention.

Responsibilities

• Assist in daily administrative tasks, such as copying, filing, and scanning documents
• Manage and maintain executives' schedules, appointments, and travel arrangements
• Coordinate meetings, including preparing agendas, taking minutes, and distributing relevant documents
• Handle incoming and outgoing correspondence, including emails, phone calls, and mail
• Maintain office supplies and equipment by monitoring inventory and placing orders as needed
• Assist in the preparation of reports, presentations, and other documents
• Schedule and coordinate office events, including meetings, training sessions, and conferences
• Perform general office duties, such as greeting visitors, answering phone calls, and organizing office space

Qualifications

• Proven experience as an administrative assistant or similar role
• Excellent organizational and time management skills
• Excellent Communication skills
• Experience in computer proficiency and Microsoft office suite
• Ability to multitask and prioritize tasks
• Attention to detail and problem-solving skills
• Discretion and confidentiality

Company Name : LMES Academy Private Limited

Website : https://lmes.in/

Linkedin : https://www.linkedin.com/company/lmes-academy/mycompany/

Role : Machine Learning Engineer

Experience: 2 Year to 4 Years

Location: Urapakkam, Chennai, Tamil Nadu.

Job Overview:

We are looking for a Machine Learning Engineer to join our team and help us advance our AI capabilities.

Requirements 

• Model Training and Fine-Tuning: Utilize and refine large language models using techniques such as distillation and supervised fine-tuning to enhance performance and efficiency.

• Retrieval-Augmented Generation (RAG): Good understanding on RAG systems to improve the quality and relevance of generated content.

• Vector Databases: Familiar with vector databases to support fast and accurate similarity searches and other ML-driven functionalities.

• API Integration: Good in REST APIs and integrate third-party APIs, including Open AI, Google Vertex, and Cloudflare Workers AI, to extend our AI capabilities.

• Generative AI: Experience with generative AI applications, including text-to-image, speech recognition, and text-to-speech systems.

• Collaboration: Work collaboratively with cross-functional teams, including data scientists, developers, and product managers, to deliver innovative AI solutions.

• Adaptability: Thrive in a fast-paced environment with loosely defined tasks and competing priorities, ensuring timely delivery of high-quality results.

Job Responsibilities:

Support, maintain, and enhance existing and new product functionality for trading software in a real-time, multi-threaded, multi-tier server architecture environment to create high and low level design for concurrent high throughput, low latency software architecture.

• Provide software development plans that meet future needs of clients and markets
• Evolve the new software platform and architecture by introducing new components and integrating them with existing ones
• Perform memory, cpu and resource management
• Analyze stack traces, memory profiles and production incident reports from traders and support teams
• Propose fixes, and enhancements to existing trading systems
• Adhere to release and sprint planning with the Quality Assurance Group and Project Management
• Work on a team building new solutions based on requirements and features
• Attend and participate in daily scrum meetings

Required Skills:

•  JavaScript and Python
• Multi-threaded browser and server applications
• Amazon Web Services (AWS)
• REST

We are looking for a full stack developer to produce scalable software solutions.

As a full stack developer, you should be comfortable around both front-end and back-end coding languages, development frameworks and third-party libraries. You should also be a team player with a knack for visual design and utility.

If you’re also familiar with Agile methodologies, we’d like to meet you.

Responsibilities:

• Developing front end website architecture.
• Designing user interactions on web pages.
• Developing back end website applications.
• Creating servers and databases for functionality.
• Ensuring cross-platform optimization for mobile phones.
• Ensuring responsiveness of applications.
• Working alongside graphic designers for web design features.
• Seeing through a project from conception to finished product.
• Designing and developing APIs.
• Meeting both technical and consumer needs.
• Staying abreast of developments in web applications and programming languages.

Requirements:

• Degree in Computer Science or related field
• Strong organizational and project management skills.
• Proficiency with fundamental front end languages such as HTML, CSS and JavaScript.
• Familiarity with JavaScript frameworks such as Angular JS, React and Amber.
• Proficiency with server side languages such as Python, Ruby, Java, PHP and .Net.
• Familiarity with database technology such as MySQL, Oracle and MongoDB.
• Excellent verbal communication skills.
• Good problem solving skills.
• Attention to detail.

Reporting directly to the Founder

The job requires a great deal of responsibility early on, but we're working on something exciting and there's lots of opportunity of growth and learning.

The job is full-time, remotely based, and with flexible hours.