Shubham Vishwakarma
Full Stack Developer - Averlon
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Python
Data Science
Machine Learning (ML)
Data AnalyticsDescription
JOB DESCRIPTION – SENIOR ANALYST – DATA SCIENTIST
Key Responsibilities ·
Work with business stakeholders and cross-functional SMEs to deeply understand business context and key business questions·
Advanced skills with statistical/programming in Python and data querying languages (e.g., SQL, Hadoop/Hive, Scala)·
Solid understanding of time-series forecasting techniques·
Good hands-on skills in both feature engineering and hyperparameter optimization·
Able to write clean and tested code that can be maintained by other software engineers·
Able to clearly summarize and communicate data analysis assumptions and results·
Able to craft effective data pipelines to transform your analyses from offline to production systems·
Self-motivated and a proactive problem solver who can work independently and in teams·
Connects both externally and internally to understand industry trends, technology advances and outstanding processes or solutions·
Is collaborative and engages (strategic & tactical. Able to influence without authority, handle complex issues and implement positive change·
Work on multiple pillars of AI including cognitive engineering, conversational bots, and data science·
Ensure that solutions exhibit high levels of performance, security, scalability, maintainability, repeatability, appropriate reusability, and reliability upon deployment ·
Provide guidance and leadership to more junior data scientists, managing processes and flow of work, vetting designs, and mentoring team members to realize their full potential·
Lead discussions at peer review and use interpersonal skills to positively influence decision making·
Provide subject matter expertise in machine learning techniques, tools, and concepts; make impactful contributions to internal discussions on emerging practices·
Facilitate cross-geography sharing of new ideas, learnings, and best-practices
What We Are Looking For
Required Qualifications ·
Master's degree in a quantitative field such as Data Science, Statistics, Applied Mathematics or Bachelor's degree in engineering, computer science, or related field. ·
4 – 6 years of total work experience as data scientist or analytical role, with at least 2-3 years of experience in time series forecasting·
A combination of business focus, strong analytical and problem-solving skills, and programming knowledge to be able to quickly cycle hypothesis through the discovery phase of a project ·
Strong experience in Time Series Forecasting and Demand Planning ·
Advanced skills with statistical/programming software (e.g., R, Python) and data querying languages (e.g., SQL, Hadoop/Hive, Scala) ·
Good hands-on skills in both feature engineering and hyperparameter optimization ·
Experience producing high-quality code, tests, documentation·
Understanding of descriptive and exploratory statistics, predictive modelling, evaluation metrics, decision trees, machine learning algorithms, optimization & forecasting techniques, and / or deep learning methodologies·
Proficiency in statistical concepts and ML algorithms·
Ability to lead, manage, build, and deliver customer business results through data scientists or professional services team·
Ability to share ideas in a compelling manner, to clearly summarize and communicate data analysis assumptions and results·
Self-motivated and a proactive problem solver who can work independently and in teams·
Outstanding verbal and written communication skills with the ability to effectively advocate technical solutions to engineering and business teams
Desired Qualifications ·
Experience working in one or multiple supply chain functions (e.g., procurement, planning, manufacturing, quality, logistics) is strongly preferred ·
Experience in applying AI/ML within a CPG or Healthcare business environment is strongly preferred ·
Experience in creating CI/CD pipelines for deployment using Jenkins. ·
Experience implementing MLOPs framework along with understanding of data security·
Implementation on ML models·
Exposure to visualization packages and Azure tech stack.
Must have skills
Python - 2 years
Data Science - 4 years
SQL - 2 years
Machine Learning - 2 years
Nice to have skills
Data Analysis - 4 years
Time Series Forecasting - 2 years
Demand Planning - 2 years
Hadoop - 2 years
Statistical concepts - 2 years
Supply chain functions - 2 years
About Mple.AI
Mple.ai is an AI-powered sales training platform for enterprises, designed to deliver scalable, measurable, and impactful training through role-plays and AI-driven evaluations.
Our platform allows enterprises to create custom simulations or use pre-built templates, making training more relevant, effective, and impactful. With mple.ai, companies streamline training, improve communication, and empower teams to sell smarter and faster.
Why This Role Matters
As a Technical Product Manager, you will work closely with the founders to shape and execute our product roadmap. This role is perfect for someone who thrives in fast-paced environments, enjoys building from the ground up, and wants to contribute directly to the growth of a category-defining AI platform.
Key Responsibilities
- Translate product vision and business goals into a clear, well-prioritized product roadmap with defined milestones and success metrics.
- Own the end-to-end product lifecycle — including discovery, requirements gathering, development, launch, and continuous iteration.
- Work closely with engineering, design, AI/ML, and data teams to define technical requirements, user stories, and acceptance criteria.
- Partner with stakeholders across marketing, sales, and customer success to align product delivery with go-to-market and adoption strategies.
- Leverage customer feedback, usage data, and product analytics to prioritize features, optimize user experience, and drive product improvements.
- Track product performance through KPIs and dashboards, identify gaps, and recommend data-backed enhancements.
- Act as the product voice during sprint planning, reviews, and retrospectives, ensuring timely and high-quality delivery
What We’re Looking For
- 1–3 years of experience in Product Management, preferably in SaaS, AI-driven, or technical products.
- Strong technical aptitude with the ability to collaborate deeply with engineering teams and understand system constraints and trade-offs.
- Hands-on product builder with a structured problem-solving mindset and strong user empathy.
- Prior experience in startups or fast-scaling tech environments is highly preferred.
- Comfortable managing multiple priorities and navigating ambiguity in an unstructured environment.
- Excellent communication, documentation, and cross-functional collaboration skills.
- Technical educational background (Engineering, Computer Science, or related field) is required
What You Get
- Direct mentorship and collaboration with founders
- Opportunity to work on cutting-edge AI product
- High ownership and rapid career growth in a zero-bureaucracy environment
Other Details
Location: Mulund, Mumbai
Work Mode: Onsite
Work Week: 5 days (Monday–Friday)
1-3+ years of business finance or other relevant experience
High proficiency in financial modeling techniques.
Strong fluency with Excel formulas and functions.
BA, BS, or B.Com degree required (Bachelor’s Degree in Accounting/Finance/Economics)
Proficiency with Microsoft Excel, familiarity with data query/data management tools is extremely helpful (Access, SQL, Business Objects)
Strong analytical and data gathering skills
Responsibilities:
Boosting the organization’s financial performance through the analysis of financial results, forecasts, variances, and trends.
Assisting in the process of capital budgeting and expenditure planning.
Conducting and comparing analysis and market research in order to support internal financial analysis.
Designing and developing several financial models to support valuation, planning, and forecasting.
Implementing technical tools such as Excel formulas and functions to handle financial issues.
Perform financial forecasting, reporting, and operational metrics tracking
Analyze financial data and create financial models for decision support
Report on financial performance and prepare for regular leadership reviews
Analyze past results, perform variance analysis, identify trends, and make recommendations for improvements
Work closely with the accounting team to
ensure accurate financial reporting
Evaluate financial performance by comparing and analyzing actual results with plans and forecasts
Guide the cost analysis process by establishing and enforcing policies and procedures
Provide analysis of trends and forecasts and recommend actions for optimization.
Analyze past results, perform variance analysis, identify trends, and make recommendations for improvements
Work closely with the accounting team to ensure accurate financial reporting
Evaluate financial performance by comparing and analyzing actual results with plans and forecasts
Guide the cost analysis process by establishing and enforcing policies and procedures
Provide analysis of trends and forecasts and recommend actions for optimization
Recommend actions by analyzing and interpreting data and making comparative analyses; study proposed changes in methods and materials
Identify and drive process improvements, including the creation of standard and ad-hoc reports, tools, and Excel dashboards
Increase productivity by developing automated reporting/forecasting tools
Perform market research, data mining, business intelligence, and valuation comps
Maintain a strong financial analysis foundation creating forecasts and models
Creating and maintaining various spreadsheets and dashboards in order to support analysis and provide insight.
Monitoring and reviewing budgets and expenses, and coming up with ways to reduce or reimburse expenses
Python
Javascript
React.js
Angular (2+)
AngularJS (1.x)Job Description:
Responsibilities:
· Participate in the entire application lifecycle, focusing on coding and debugging
· Ability to design and document the product features, codes.
· Self-driven and ability to take up ownership of things
· Write clean code to develop functional applications, automation scripts, test cases
· Troubleshoot and debug applications
· Collaborate with developers, cross-functional teams to identify issue, new features and come up with solutions
· Gather and address technical and design requirements
· Provide training and support to internal teams
· Build reusable code and libraries for future use
· Ability to sync with other developers, designers to identify issues, new features and improvements
Requirements and skills:
· Solid understanding of linux development environment and systems
· Expert level knowledge of Python along with frameworks like Django, flask
· Proficient in writing unit test cases using Pytest framework.
· Expert level knowledge of SQL databases like MySQL and PostgreSQL
· Good knowledge of design principles and databases
· Knowledge of front technologies like Typescript, ReactJs
· Knowledge of Caching techniques using Memcached and Redis
· Experience of using queueing service line Kafka
· Solid understanding of microservices architecture
· Knowledge of AWS cloud services
· Expert in serverless technologies like lambda along with API gateway
· Knowledge of Git, Jira, CI/CD pipelines and containerization like docker
· Knowledge of logging and monitoring tools like Grafana or Newrelic
React.jsJavascriptOddr is looking for a skilled frontend engineer to help us build modern web-based Cloud applications. The ideal candidate should be able to bring new ideas to the table and design and implement frontend components with a strong emphasis on their robustness, testability, re-usability, performance, and ease of maintenance. The candidate should demonstrate leadership qualities, be a self-motivated team player, and take pride in what they deliver.
The candidate should be interested in a long-term stable career to grow with our company. The candidate will need to work late night hours because of the geographic distribution of the team.
Technical Requirements:
- Strong understanding of React.js and its core principles
- Strong understanding of JavaScript/TypeScript, CSS, HTML, and other standard frontend technologies and tools
- Experience with frontend test automation frameworks and tools
- Familiarity with RESTful APIs
- Experience with modern authorization techniques like JWT
- Experience with monitoring and improving frontend performance
- General understanding and knowledge of the UI/UX best practices
- Ability to write clean, well-structured code with proper abstraction and re-usability
- Ability to work to tight deadlines, manage priorities, and take responsibility for delivering to time and quality requirements
- Ability to understand business requirements and translate them into technical requirements
- Excellent communication skills
- Excellent problem-solving skills
Minimum qualifications required:
- Bachelor's degree or relevant certification from a reputable institute.
- 3-5 years of experience.
NodeJS (Node.js)Javascript
HTML/CSS- Writing reusable, testable, and efficient code.
- Design and implementation of low-latency, high-availability, and performant applications.
- Implementation of security and data protection.
- Integration of data storage solutions {mysql, redis}.
- Understanding the requirements and planning the implementation accordingly.
- Good interaction with the team. Good debugging skills.
- Strong proficiency with JavaScript {optimized code}.
- Knowledge of Node.js and frameworks available for it {sequelize}.
- Understanding the nature of asynchronous programming and its quirks and workarounds.
- Optimization in terms of memory and time.
- Good understanding of server-side templating languages.
- Basic understanding of front-end technologies, such as HTML5, and CSS3.
- Proficient understanding of code versioning tools, such as Git.
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Job Title: |
Senior Cloud Infrastructure Engineer (Azure) |
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Department & Team |
Technology |
Location: |
India |
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Reporting To: |
Enterprise Solutions Architect |
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Role Purpose: |
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The purpose of the role is to ensure high systems availability across a multi-cloud environment, enabling the business to continue meeting its objectives.
This role will be mostly Azure / Windows / Active Directory / Azure AD focused but will include a requirement to understand comparative solutions in AWS.
Desire to maintain full hands-on status but to add Team Lead responsibilities in future
Client’s cloud strategy is based around a dual vendor solutioning model, utilising AWS and Azure services. This enables us to access more technologies and helps mitigate risks across our infrastructure.
The Infrastructure Services Team is responsible for the delivery and support of all infrastructure used by Client twenty-four hours a day, seven days a week. The team’s primary function is to install, maintain, and implement all infrastructure-based systems, both On Premise and Cloud Hosted. The Infrastructure Services group already consists of three teams:
1. Network Services Team – Responsible for IP Network and its associated components 2. Platform Services Team – Responsible for Server and Storage systems 3. Database Services Team – Responsible for all Databases
This role will report directly into the Enterprise Solutions Architect and will have responsibility for the day to day running of the Azure public cloud platform, as well as playing a key part in designing best practise solutions. It will enable the Client business to achieve its stated objectives by playing a key role in the Infrastructure Services Team to achieve world class benchmarks of customer service and support.
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Responsibilities: |
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Operations · Deliver end to end technical and user support across all cloud platforms (Primarily Azure) · Day to day, fully hands-on OS management responsibilities (Primarily Windows Server OS) · Contribute to continuous improvement efforts around cost optimisation, security enhancement, performance optimisation, operational efficiency and innovation. · Take an ownership role in delivering technical projects, ensuring best practise methods are followed. · Design and deliver solutions around the concept of “Planning for Failure”. Ensure all solutions are deployed to withstand system / AZ failure. · Work closely with Cloud Architects / Infrastructure Services Manager to identify and eliminate “waste” across cloud platforms. · Ensure robust tagging strategy followed in the organisation with accurate cost allocation of resources in Azure. · Ensure all Client data in all forms are backed up in a cost-efficient way. · Use the appropriate monitoring tools to ensure all cloud / on-premise services are continuously monitored. · Drive utilisation of most efficient methods of resource deployment. · Drive the adoption, across the business, of serverless / open source / cloud native technologies where applicable. · Ensure system documentation remains up to date and designed according to Azure best practise templates. · Participate in detailed architectural discussions, calling on internal/external subject matter experts as needed, to ensure solutions are designed for successful deployment. · Take part in regular discussions with business executives to translate their needs into technical and operational plans. · Engaging with vendors regularly in terms of verifying solutions and troubleshooting issues. · Designing and delivering technology workshops to other departments in the business. · Takes initiatives for improvement of service delivery. · Ensure that Client delivers a service that resonates with customer’s expectations, which sets Client apart from its competitors. · Help design necessary infrastructure and processes to support the recovery of critical technology and systems in line with contingency plans for the business. · Continually assess working practices and review these with a view to improving quality and reducing costs. · Champions the new technology case and ensure new technologies are investigated and proposals put forward regarding suitability and benefit. · Motivate and inspire the rest of the infrastructure team and undertake necessary steps to raise competence and capability as required. · Help develop a culture of ownership and quality throughout the Infrastructure Services team.
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Skills & Experience: |
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· Microsoft Azure Solutions Architect Expert AZ-303– REQUIRED · Microsoft Certified Professional ( MCP ) – REQUIRED · AWS Certified Cloud Practicioner - Preferred · Must be able to demonstrate working knowledge of designing, implementing and maintaining best practise Azure solutions. · Strong working knowledge of on-prem Active Directory, including GPO and Azure AD · Proven examples of ownership of large Azure project implementations in Enterprise settings. · Enterprise production experience of deploying infrastructure as code using Terraform · Experience managing the monitoring of infrastructure / applications using tools including Cloud native, Solarwinds, New Relic, etc. · Must have practical working knowledge of driving cost optimisation, security enhancement and performance optimisation. · Solid understanding and experience of transitioning IaaS solutions to serverless technology · Need to be able to demonstrate security best-practise when designing solutions in Azure. · Working experience of ‘On Premise to Cloud’ migrations · Good working knowledge around WAN connectivity and how this interacts with the various entry point options into Azure public cloud. · Production knowledge of Windows file servers / DFS · Strong experience in desktop virtualisation technologies in Azure · Good appreciation of ISO27001, ITIL and Project management · Good understanding of new and emerging technologies · Excellent presentation skills to both an internal and external audience · The ability to share your specific expertise to the rest of the Technology group · |
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Behavioural Fit: |
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· Professional appearance and manner · High personal drive; results oriented; makes things happen; “can do attitude” · Can work and adapt within a highly dynamic and growing environment · Team Player; effective at building close working relationships with others · Effectively manages diversity within the workplace · Strong focus on service delivery and the needs and satisfaction of internal clients · Able to see issues from a global, regional and corporate perspective · Able to effectively plan and manage large projects · Excellent communication skills and interpersonal skills at all levels · Strong analytical, presentation and training skills · Innovative and creative · Demonstrates technical leadership · Visionary and strategic view of technology enablers (creative and innovative) · High verbal and written communication ability, able to influence effectively at all levels · Possesses technical expertise and knowledge to lead by example and input into technical debates · Depth and breadth of experience in infrastructure technologies · Enterprise mentality and global mindset · Sense of humour
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Role Key Performance Indicators: |
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· Design and deliver repeatable, best in class, cloud solutions. · Pro-actively monitor service quality and take action to scale operational services, in line with business growth. · Generate operating efficiencies, to be agreed with Infrastructure Services Manager. · Establish a “best in sector” level of operational service delivery and insight. · Help create an effective team. |
Vue.jsReact.jsJavascriptHTML/CSS
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon