Machine Learning (ML)
Python
Deep Learning- Participate in full machine learning Lifecycle including data collection, cleaning, preprocessing to training models, and deploying them to Production.
- Discover data sources, get access to them, ingest them, clean them up, and make them “machine learning ready”.
- Work with data scientists to create and refine features from the underlying data and build pipelines to train and deploy models.
- Partner with data scientists to understand and implement machine learning algorithms.
- Support A/B tests, gather data, perform analysis, draw conclusions on the impact of your models.
- Work cross-functionally with product managers, data scientists, and product engineers, and communicate results to peers and leaders.
- Mentor junior team members
Who we have in mind:
- Graduate in Computer Science or related field, or equivalent practical experience.
- 4+ years of experience in software engineering with 2+ years of direct experience in the machine learning field.
- Proficiency with SQL, Python, Spark, and basic libraries such as Scikit-learn, NumPy, Pandas.
- Familiarity with deep learning frameworks such as TensorFlow or Keras
- Experience with Computer Vision (OpenCV), NLP frameworks (NLTK, SpaCY, BERT).
- Basic knowledge of machine learning techniques (i.e. classification, regression, and clustering).
- Understand machine learning principles (training, validation, etc.)
- Strong hands-on knowledge of data query and data processing tools (i.e. SQL)
- Software engineering fundamentals: version control systems (i.e. Git, Github) and workflows, and ability to write production-ready code.
- Experience deploying highly scalable software supporting millions or more users
- Experience building applications on cloud (AWS or Azure)
- Experience working in scrum teams with Agile tools like JIRA
- Strong oral and written communication skills. Ability to explain complex concepts and technical material to non-technical users
Shubham Vishwakarma
Full Stack Developer - Averlon
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As a Key Account Manager (KAM) in 2026, the role has shifted from being a "relationship manager" to a "strategic growth architect." You are now expected to use AI-driven insights to predict client needs and act as a consultant rather than just a vendor.
Below is a modern, professional Job Description for a KAM.
Job Title: Key Account Manager (KAM)
Role Overview:
We are looking for a Key Account Manager to oversee and nurture our most valuable client relationships. In this role, you aren't just a point of contact; you are a strategic partner. Your goal is to deeply understand the client’s business objectives and align our solutions to help them achieve long-term success. You will manage a high-value portfolio, ensuring retention, identifying expansion opportunities, and driving mutual profitability.
Key Responsibilities:
- Strategic Partnership: Build and maintain long-term, trusting relationships with "big player" clients, acting as their primary advocate within our company.
- Account Growth (Upselling/Cross-selling): Identify "white space" opportunities within existing accounts to introduce new products or services that solve specific client pain points.
- Predictive Problem Solving: Use data analytics and AI tools to monitor account health and proactively resolve issues before they escalate.
- Contract Negotiation: Lead complex negotiations for contract renewals and pricing agreements, ensuring terms are beneficial for both parties.
- Cross-Functional Leadership: Collaborate with Marketing, Product, and Support teams to ensure seamless delivery and tailored solutions for your key accounts.
- Market Intelligence: Stay ahead of industry trends and competitor moves to provide your clients with consultative insights that position them for success.
Required Skills & Qualifications :
- Relationship Management: Proven ability to manage large-scale accounts and build rapport with C-suite stakeholders.
- Commercial Acumen: Strong understanding of P&L, budgeting, and financial forecasting.
- Analytical Thinking: Proficiency in using CRM software (Salesforce, HubSpot) and AI-driven dashboards to interpret customer data.
- Negotiation & Persuasion: Expert-level communication skills with a track record of closing high-stakes deals.
- Adaptability: Ability to pivot strategies in a fast-paced, digital-first market
Java
Spring BootWe are looking for a 𝐒𝐞𝐧𝐢𝐨𝐫 𝐉𝐚𝐯𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 who is passionate about 𝐝𝐞𝐞𝐩 𝐛𝐚𝐜𝐤𝐞𝐧𝐝 𝐞𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠, 𝐚𝐥𝐠𝐨𝐫𝐢𝐭𝐡𝐦𝐢𝐜 𝐩𝐫𝐨𝐛𝐥𝐞𝐦-𝐬𝐨𝐥𝐯𝐢𝐧𝐠, 𝐚𝐧𝐝 𝐛𝐮𝐢𝐥𝐝𝐢𝐧𝐠 𝐡𝐢𝐠𝐡-𝐩𝐞𝐫𝐟𝐨𝐫𝐦𝐚𝐧𝐜𝐞 𝐬𝐲𝐬𝐭𝐞𝐦𝐬 at scale.
This role is 𝐧𝐨𝐭 about basic API development or framework-heavy work. You will be part of the 𝐜𝐨𝐫𝐞 𝐞𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 𝐭𝐞𝐚𝐦, working close to the heart of the product where 𝐩𝐞𝐫𝐟𝐨𝐫𝐦𝐚𝐧𝐜𝐞, 𝐬𝐜𝐚𝐥𝐚𝐛𝐢𝐥𝐢𝐭𝐲, 𝐚𝐧𝐝 𝐜𝐨𝐫𝐫𝐞𝐜𝐭𝐧𝐞𝐬𝐬 𝐭𝐫𝐮𝐥𝐲 𝐦𝐚𝐭𝐭𝐞𝐫.
𝐖𝐡𝐚𝐭 𝐘𝐨𝐮’𝐥𝐥 𝐃𝐨
▪️ Design and build 𝐡𝐢𝐠𝐡-𝐩𝐞𝐫𝐟𝐨𝐫𝐦𝐚𝐧𝐜𝐞 𝐛𝐚𝐜𝐤𝐞𝐧𝐝 𝐬𝐲𝐬𝐭𝐞𝐦𝐬 that operate reliably under heavy load
▪️Develop and implement 𝐜𝐮𝐬𝐭𝐨𝐦 𝐚𝐥𝐠𝐨𝐫𝐢𝐭𝐡𝐦𝐬 for complex, real-world business problems
▪️Identify and resolve 𝐂𝐏𝐔, 𝐦𝐞𝐦𝐨𝐫𝐲, 𝐈/𝐎, 𝐚𝐧𝐝 𝐜𝐨𝐧𝐜𝐮𝐫𝐫𝐞𝐧𝐜𝐲 𝐛𝐨𝐭𝐭𝐥𝐞𝐧𝐞𝐜𝐤𝐬
▪️Build backend services where 𝐥𝐚𝐭𝐞𝐧𝐜𝐲, 𝐭𝐡𝐫𝐨𝐮𝐠𝐡𝐩𝐮𝐭, 𝐚𝐧𝐝 𝐫𝐞𝐥𝐢𝐚𝐛𝐢𝐥𝐢𝐭𝐲 are critical
▪️Own 𝐝𝐨𝐜𝐮𝐦𝐞𝐧𝐭 & 𝐏𝐃𝐅 𝐩𝐫𝐨𝐜𝐞𝐬𝐬𝐢𝐧𝐠 𝐩𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬 end-to-end, including:
- Composition
- Rendering
- Optimization
- High-volume document generation
▪️Make 𝐬𝐭𝐫𝐨𝐧𝐠 𝐭𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐝𝐞𝐜𝐢𝐬𝐢𝐨𝐧𝐬 and take ownership of backend architecture
▪️Mentor engineers by setting 𝐡𝐢𝐠𝐡 𝐞𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 𝐬𝐭𝐚𝐧𝐝𝐚𝐫𝐝𝐬 𝐚𝐧𝐝 𝐛𝐞𝐬𝐭 𝐩𝐫𝐚𝐜𝐭𝐢𝐜𝐞𝐬
𝐑𝐞𝐪𝐮𝐢𝐫𝐞𝐝 𝐒𝐤𝐢𝐥𝐥𝐬 & 𝐄𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞
▪️𝟓 𝐭𝐨 𝟏𝟎+ years of strong backend engineering experience
▪️Excellent expertise in 𝐂𝐨𝐫𝐞 𝐉𝐚𝐯𝐚 (𝐉𝐚𝐯𝐚 𝟖+) 𝐚𝐧𝐝 𝐒𝐩𝐫𝐢𝐧𝐠 𝐁𝐨𝐨𝐭
▪️Strong knowledge of:
- Data Structures & Algorithms
- Multithreading and concurrency
- JVM internals and memory management
▪️ Proven experience designing 𝐜𝐮𝐬𝐭𝐨𝐦 𝐚𝐥𝐠𝐨𝐫𝐢𝐭𝐡𝐦𝐬
▪️Deep backend experience 𝐮𝐬𝐢𝐧𝐠 𝐒𝐩𝐫𝐢𝐧𝐠 / 𝐒𝐩𝐫𝐢𝐧𝐠 𝐁𝐨𝐨𝐭
▪️Strong understanding of:
- API design principles
- Fault tolerance and resilience
- Performance tuning and profiling
▪️Ability to reason about time and space complexity
▪️Solid database fundamentals:
- Query optimization Indexing
- Transaction management
𝐖𝐡𝐚𝐭 𝐖𝐞’𝐫𝐞 𝐋𝐨𝐨𝐤𝐢𝐧𝐠 𝐅𝐨𝐫
Engineers who enjoy solving hard problems, not just wiring frameworks
Strong analytical thinking with a focus on trade-offs and optimizations
High ownership mindset with attention to performance and maintainability
📩 Interested candidates can apply
- Extensive exposure to at least one Business Intelligence Platform (if possible, QlikView/Qlik Sense) – if not Qlik, ETL tool knowledge, ex- Informatica/Talend
- At least 1 Data Query language – SQL/Python
- Experience in creating breakthrough visualizations
- Understanding of RDMS, Data Architecture/Schemas, Data Integrations, Data Models and Data Flows is a must
NodeJS (Node.js)
React.js
Angular (2+)
AngularJS (1.x)
MongoDBRoles and Responsibilities:
- Understand product requirements and be able to quickly turn around a functional prototype for internal review and further refinement.
- We are currently using MERN & Flutter technology for our product. You should be acquainted to this tech stack or should be able to grasp immediately.
- Develop API based architecture in order to ensure the business growth and integrational capabilities of product.
- Designing and developing REST APIs using MongoDB with its Security compositions
- Develop the Mobile UI / Back-end features using Flutter / Dart programming language.
- Creating and configuring EC2 instances and securing a connection with MongoDB Cloud database
- Should be adapt to version control systems like GIT / GITHUB
Angular (2+)
Javascript- Hands-on experience in developing User Interfaces (more than 4 years) using Angular 4+.
- Hands-on experience of using reactive frameworks like Redux, NgRX.
- Strong understanding of using UI testing frameworks like Jasmine, Mocha.
- Focus on building reusable components by employing Design patterns.
- Ability to remote diagnose user issues (With or without tools).
- Strong understanding of Object-oriented concepts.
- Ability to suggest alternative solutions for micro-level problems considering the environment constraints.
- Ability to diagnose development issues independently.
- Self-motivated learner.
DockerPythonSkills Required:
- Good experience with programming language Python
- Strong understanding and development experience with Golang.
- Strong experience in Docker.
- Good knowledge with any of the Cloud Platform like Azure.
- Must be comfortable working in a Linux environment.
- Must have exposure into IOT domain and its protocols ((Zigbee & BLE ,LoRa,Modbus)
- Must be a good team player.
- Strong Communication Skills
React.jsNodeJS (Node.js)
React NativeJavascriptDevelop, maintain, and promote an internal web-based repository of UI design guidelines and patterns, code samples, and UI componentry.
Be an Interface with a set of clients (client senior developers and architects) to create technology specifications from business requirements for one or more modules within the project.
Responsible for preparing the technical design of the components within the module (one or more of client/web presentation tier, server tier, data access and data model, integration component, package function customization).
All you need is...
Java
PHP
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon