Co-founder/ CTO

Job Description – Junior Accountant

Job Title: Junior Accountant

Experience: 0–1 Year

Qualification: B.Com / M.Com

Location: Mahape, Navi Mumbai

Working Days: 6 Days

Job Responsibilities

Assist with day-to-day accounting and bookkeeping activities.

Enter purchase, sales, payment, receipt, and journal vouchers in Tally.

Maintain ledger accounts and accounting records.

Assist with Bank Reconciliation Statements (BRS).

Support GST-related work, including GSTR-1 and GSTR-3B data preparation.

Assist with TDS calculations, payments, and documentation.

Maintain invoices, bills, vouchers, and financial documents.

Assist in preparing basic MIS and accounting reports.

Coordinate with internal teams and external consultants for accounting and compliance requirements.

Required Skills

Knowledge of Tally Prime / Tally ERP

Basic understanding of Accounting and Bookkeeping

Knowledge of GST and TDS

Voucher Entry and Ledger Maintenance

Basic knowledge of MS Excel

Bank Reconciliation (BRS)

Good numerical accuracy and attention to detail

Good communication skills

Willingness to learn and grow in the accounting field

Responsibilities: 

• Utilize telephone solicitation, electronic and written correspondence and face to-face meetings as tools in order to reach and exceed the budgeted  

sponsorship target for each conference 

• Research and develop a list of potential sponsors for each conference 

• Research and develop a list of potential exhibitors when required 

• Develop and maintain relationships with existing and potential sponsorship clients and exhibitors 

• Keep precise records of conversations with all clients, sponsors and exhibitors;  

• Update the company Maximiser database as required 

• Invoice sponsors and exhibitors once agreements have been reached 

• Assist in preparing promotional material to advertise sales opportunities 

• Maintain knowledge of conference timelines and sponsorship deadlines 

• Delegate administrative functions to assistants where possible 

• Meet with trade and professional organizations and other groups to organize, promote and discuss ICS conference / trade show services 

• Professionally represent ICS at all times. 

Competencies: 

• Strong closing abilities  

• Strong business development skills 

• An open-mind and can-do attitude 

• Any experience of SPIN selling would be beneficial 

• Good commercial awareness and strong business acumen 

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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KEY RESPONSIBILITIES

• Collaborate effectively within a lean team structure focused on core legacy application support, optimization, and modernization.
• Drive robust lift-and-shift strategies as well as meticulous deep-architectural refactoring initiatives for existing enterprise applications.
• Actively leverage AI-based development tools (e.g., GitHub Copilot) and modern DevOps automation to significantly accelerate software delivery speed and enhance engineering standards.
• Perform detailed code analysis, proactive performance tuning, regression testing, and systemic stabilization of legacy software environments.
• Ensure absolute end-to-end ownership of development pipelines and tasks with minimal supervisor oversight.
• Align all newly developed modern features and components with the pre-existing tech stack structure and corporate architecture standards.
• Collaborate dynamically with cross-functional stakeholders to align engineering sprints with critical operational milestones and ensure smooth delivery.

REQUIRED SKILLS & QUALIFICATIONS

• Modernization Expertise: Proven hands-on experience navigating complex legacy software codebases, performing technical debt evaluations, and executing migration patterns.
• Full-Stack Core Proficiency: Deep practical competence in at least one backend ecosystem and frontend ecosystem as applicable: Backend: Node.js, Java, or .NET Frontend: Angular or React
• Cloud & CI/CD Frameworks: Comprehensive deployment experience utilizing major cloud architectures (AWS or Azure) and establishing structured automation pipelines (Jenkins, GitHub Actions, etc.).
• AI & Automation Tooling: Hands-on exposure to modern AI-assisted coding extensions, continuous testing applications, and progressive DevOps automation.
• Quality & Observability: Solid diagnostic knowledge utilizing code coverage analysis, structured logging, monitoring suites, and system-level debugging tools.
• Core Competencies: Superior standalone problem-solving capacity, clear professional communications skills, an autonomous work ethic, and a preference for in-office team collaboration

1. Data Engineer

 Required skill set: AWS GLUE, AWS LAMBDA, AWS SNS/SQS, AWS ATHENA, SPARK, SNOWFLAKE, PYTHON

Mandatory Requirements  

• Experience in AWS Glue
• Experience in Apache Parquet 
• Proficient in AWS S3 and data lake 
• Knowledge of Snowflake
• Understanding of file-based ingestion best practices.
• Scripting language - Python & pyspark 

CORE RESPONSIBILITIES 

• Create and manage cloud resources in AWS 
• Data ingestion from different data sources which exposes data using different technologies, such as: RDBMS, REST HTTP API, flat files, Streams, and Time series data based on various proprietary systems. Implement data ingestion and processing with the help of Big Data technologies 
• Data processing/transformation using various technologies such as Spark and Cloud Services. You will need to understand your part of business logic and implement it using the language supported by the base data platform 
• Develop automated data quality check to make sure right data enters the platform and verifying the results of the calculations 
• Develop an infrastructure to collect, transform, combine and publish/distribute customer data.
• Define process improvement opportunities to optimize data collection, insights and displays.
• Ensure data and results are accessible, scalable, efficient, accurate, complete and flexible 
• Identify and interpret trends and patterns from complex data sets 
• Construct a framework utilizing data visualization tools and techniques to present consolidated analytical and actionable results to relevant stakeholders. 
• Key participant in regular Scrum ceremonies with the agile teams  
• Proficient at developing queries, writing reports and presenting findings 
• Mentor junior members and bring best industry practices 

 QUALIFICATIONS 

• 5-7+ years’ experience as data engineer in consumer finance or equivalent industry (consumer loans, collections, servicing, optional product, and insurance sales) 
• Strong background in math, statistics, computer science, data science or related discipline
• Advanced knowledge one of language: Java, Scala, Python, C# 
• Production experience with: HDFS, YARN, Hive, Spark, Kafka, Oozie / Airflow, Amazon Web Services (AWS), Docker / Kubernetes, Snowflake  
• Proficient with
• Data mining/programming tools (e.g. SAS, SQL, R, Python)
• Database technologies (e.g. PostgreSQL, Redshift, Snowflake. and Greenplum)
• Data visualization (e.g. Tableau, Looker, MicroStrategy)
• Comfortable learning about and deploying new technologies and tools. 
• Organizational skills and the ability to handle multiple projects and priorities simultaneously and meet established deadlines. 
• Good written and oral communication skills and ability to present results to non-technical audiences 
• Knowledge of business intelligence and analytical tools, technologies and techniques.

Familiarity and experience in the following is a plus:  

• AWS certification
• Spark Streaming 
• Kafka Streaming / Kafka Connect 
• ELK Stack 
• Cassandra / MongoDB 
• CI/CD: Jenkins, GitLab, Jira, Confluence other related tools

Alorica is a leading provider of Business Process and Customer Satisfaction Outsourcing solutions that span the entire customer lifecycle. But that’s just a very technical way of saying what we really do, which is to make lives better…one interaction at a time.

100,000 strong and dedicated to delivering insanely great customer experiences to people across the globe. It’s our privilege to partner with the world’s largest and most respected brands—embracing every day and every challenge with Passion, Performance, and Possibilities.

The world’s largest provider of customer experiences to North American consumers.

We Serve More than 200 Major Clients Worldwide, Including:

• 4 of the top 5 wireless providers
• 4 of the top 8 healthcare companies on the Fortune 500
• 4 of the top 10 banks on the Fortune 500
• 5 of the world’s largest retailers
• 4 of the top 10 largest car manufacturers
• 10 of the top 20 regulated utility companies
• 3 of the 5 largest technology companies
• Provide customer support and resolve customer queries via call.
• Build credibility and trust with the customers by empathizing with their problem in words, proactively understanding their needs and responding promptly thereby obtaining high quality/ Customer Satisfaction (CSAT) scores for the work you performed.
• Research, Diagnose, troubleshoot, and identify solutions to resolve customer issues.
• Candidate should be flexible to work in 24*7 environments (US Shift).
• Freshers to 5yrs of experience with Customer Support * 
• Experience in an International Voice Process.
• The candidate should have excellent command over English - fluency in spoken English, customer service skills and high energy levels.
• Candidates who have experience into domestic Voice Process can be considered as freshers.

At Alorica, we only do one thing – make lives better, one interaction at a time. We’re a global leader in customer service and experience, serving the world’s biggest brands with tens of thousands of employees in hundreds of locations around the globe.

Every day, we aim to live up to our mission of creating insanely great customer experiences. But as Alorica employees, giving back matters just as much – that’s why we’re so proud of Making Lives Better with Alorica, a non-profit, 501(c)(3) organization dedicated to providing assistance to employees, their families and the people, organizations and communities who support them. Simply put, we want to make lives better…one interaction at a time. And to do that, we need the very best people to join us. 

At Alorica, we’re all about putting our team members on a passionate, rewarding career path—and we work hard to craft an insanely great work environment for our colleagues. A place where you can be yourself. Where you can work hard and play hard. Where you can get involved in the community. And where doing the right thing—and taking care of one another—is an integral part of who we are.

• Job Category
• Customer Experience
• Posting Date
• 10/01/2025, 11:42 AM
• Locations
•  Pritech Park SEZ Block12, IN
• Apply Before
• 10/06/2025, 11:42 AM
• Job Schedule
• Full time
• Job Shift
• Night

1. Own Architecture and Design for one or more verticals end to end
   Work with stakeholders (Product teams, Partners, UI/UX teams & Vendors) to create right architecture for large scale, large volume consumer facing applications
2. Ability to work in ambiguous environments
3. Be on top of emerging technology and make recommendations to future-proof products and solutions
4. Ensure that systems are architected to be secure and resilient through the effective application of security and Business Continuity principles
5. Lead the definition and validation of architecture principles and standards