Machine Learning (ML)
Data Science
Deep Learning- Work closely with your business to identify issues and use data to propose solutions for effective decision making
- Build algorithms and design experiments to merge, manage, interrogate and extract data to supply tailored reports to colleagues, customers or the wider organisation.
- Creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc
- Querying databases and using statistical computer languages: R, Python, SLQ, etc.
- Visualizing/presenting data through various Dashboards for Data Analysis, Using Python Dash, Flask etc.
- Test data mining models to select the most appropriate ones for use on a project
- Work in a POSIX/UNIX environment to run/deploy applications
- Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
- Develop custom data models and algorithms to apply to data sets.
- Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
- Assess the effectiveness of data sources and data-gathering techniques and improve data collection methods
- Horizon scan to stay up to date with the latest technology, techniques and methods
- Coordinate with different functional teams to implement models and monitor outcomes.
- Stay curious and enthusiastic about using algorithms to solve problems and enthuse others to see the benefit of your work.
General Expectations:
- Able to create algorithms to extract information from large data sets
- Strong knowledge of Python, R, Java or another scripting/statistical languages to automate data retrieval, manipulation and analysis.
- Experience with extracting and aggregating data from large data sets using SQL or other tools
- Strong understanding of various NLP, and NLU techniques like Named Entity Recognition, Summarization, Topic Modeling, Text Classification, Lemmatization and Stemming.
- Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, etc.
- Experience with Python libraries such as Pandas, NumPy, SciPy, Scikit-Learn
- Experience with Jupyter / Pandas / Numpy to manipulate and analyse data
- Knowledge of Machine Learning techniques and their respective pros and cons
- Strong Knowledge of various Data Science Visualization Tools like Tableau, PowerBI, D3, Plotly, etc.
- Experience using web services: Redshift, AWS, S3, Spark, DigitalOcean, etc.
- Proficiency in using query languages, such as SQL, Spark DataFrame API, etc.
- Hands-on experience in HTML, CSS, Bootstrap, JavaScript, AJAX, jQuery and Prototyping.
- Hands-on experience on C#, Javascript, .Net
- Experience in understanding and analyzing data using statistical software (e.g., Python, R, KDB+ and other relevant libraries)
- Experienced in building applications that meet enterprise needs – secure, scalable, loosely coupled design
- Strong knowledge of computer science, algorithms, and design patterns
- Strong oral and written communication, and other soft skills critical to collaborating and engage with teams
Shubham Vishwakarma
Full Stack Developer - Averlon
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PythonMachine Learning (ML)Machine Learning Engineer (For client company)
Location: Bengaluru, India (Hybrid/Onsite)
Experience: 3–4 years
The Role
We are looking for a Machine Learning Engineer to build and productionize models that power fall detection, vitals monitoring, and predictive health insights from radar sensor data.
You will work closely with hardware, data engineering, backend, and product teams to improve model accuracy, reduce false alarms, and deploy reliable ML systems into production.
This role is ideal for someone with strong classical machine learning fundamentals who is comfortable working with messy real-world sensor data and writing clean, production-grade code.
What You'll Do
- Build and optimize classical ML models such as XGBoost, ensemble models, anomaly detection, and time-series models for fall detection, vitals monitoring, and health risk scoring.
- Engineer features from raw, sparse, and noisy radar signals, point-cloud data, and time-series sensor streams.
- Contribute to computer vision-adjacent problems such as pose estimation, movement analysis, skeleton tracking, and activity recognition using radar data.
- Build training, evaluation, and inference pipelines using Databricks.
- Perform exploratory data analysis on resident, device, alert, and facility-level datasets to identify trends, edge cases, and opportunities for model improvement.
- Define and own model evaluation metrics for safety-critical systems, including:
- Precision
- Recall
- Sensitivity
- Specificity
- False alarm rate
- Missed event rate
- Detection latency
- Analyze production model performance across facilities, residents, devices, and time periods.
- Handle noisy real-world datasets, including:
- Missing values
- Label quality issues
- Device variability
- Sparse event data
- Facility-specific patterns
- Write clean, modular, well-tested Python code for feature engineering, model training, evaluation, and inference.
- Deploy, monitor, and continuously improve production ML models.
- Collaborate with hardware and data engineering teams to improve data quality, labeling, observability, and model reliability.
What We're Looking For
- 3–4 years of experience building and deploying machine learning systems in production.
- Strong Python programming skills with the ability to write maintainable, testable, production-grade code.
- Strong understanding of classical machine learning concepts, including:
- Feature engineering
- Model training
- Cross-validation
- Error analysis
- Model evaluation
- Hands-on experience with algorithms such as:
- XGBoost
- Random Forests
- Gradient Boosting
- Ensemble methods
- Anomaly Detection
- Time-series models
- Strong SQL skills with experience analyzing large datasets using SQL, PySpark, Pandas, or Databricks.
- Experience working with time-series, sensor, spatial, point-cloud, IoT, or computer vision-style datasets.
- Familiarity with modern data engineering workflows using Databricks, Apache Spark, Delta Lake, or similar platforms.
- Strong debugging and analytical skills with the ability to diagnose issues across data pipelines, models, and production systems.
- Comfortable working in a fast-moving startup environment with ambiguity.
- Strong ownership mindset with the ability to take ML models from experimentation through production deployment.
Good to Have
- Experience in HealthTech, IoT, radar sensing, wearables, ambient monitoring, or safety-critical systems.
Exposure to:
- Computer Vision
- Pose Estimation
- Skeleton Tracking
- Object Tracking
- Spatial Data Processing
- Experience with:
- MLflow
- Model Registry
- Feature Stores
- Experiment Tracking
- Model Monitoring
- Experience with:
- ONNX
- Model Quantization
- Edge Deployment
- Latency Optimization
- Resource-Constrained Inference
- Familiarity with real-time data pipelines using:
- Kafka
- Spark Structured Streaming
- Streaming inference architectures
Key Skills
- ServiceNow ITOM
- Discovery
- Service Mapping
- Event Management
- CMDB, IRE, CSDM
- MID Server
- JavaScript, Glide Scripting
- REST/SOAP Integrations
- Flow Designer, Integration Hub
- Dynatrace, Datadog, Splunk
- AWS, Azure, Kubernetes
- Linux, Windows Administration
- SNMP, SSH, WMI
- PowerShell, Bash
Experience
5+ years ServiceNow Development
3+ years ITOM (Discovery, Service Mapping, Event Management)
Mandatory Certifications
CSA (Certified System Administrator)
CAD (Certified Application Developer)
CIS – Discovery
Preferred Certifications
CIS – Service Mapping
CIS – Event Management
Project Overview
Join an exciting early-stage project developing "Fenrir Security" - an innovative autonomous security testing platform. We're building an Electron-based desktop application that leverages AI to automate security testing processes. This is a contract position with potential for long-term engagement as the product evolves.
Contract Details
- Duration: Initial 4-month contract with possibility of extension
- Work Arrangement: Remote with regular online collaboration
- Compensation: Competitive rates based on experience (₹80,000-₹1,50,000 monthly)
- Hours: Flexible, approximately 40 hours weekly
Role & Responsibilities
- Design and develop a cross-platform Electron application from scratch
- Implement both frontend UI components and backend functionality
- Create integration points for the autonomous testing engine
- Build secure communication protocols between application components
- Develop data visualization components for security testing results
- Implement application packaging and distribution mechanisms
- Work collaboratively with AI/ML specialist and security expert
- Deliver working application builds at regular milestones
- Participate in technical planning and architecture decisions
Skills & Experience
- 3+ years experience building production applications
- Strong proficiency with Electron framework development
- Expertise in JavaScript/TypeScript, HTML/CSS, and Node.js
- Experience with modern frontend frameworks (React preferred)
- Working knowledge of desktop application development challenges
- Familiarity with security tools and applications (preferred)
- Ability to work independently with minimal supervision
- Strong problem-solving abilities and communication skills
Why Join Us
- Work with cutting-edge technologies at the intersection of AI and cybersecurity
- Flexible working arrangements and competitive compensation
- Opportunity to shape a product from its foundation
- Potential for equity or profit-sharing in future funding rounds
- Build portfolio-worthy work in an innovative security product
Selection Process
- Initial screening call
- Technical assessment (paid task)
- Final interview with founder
Key Responsibilities
Instructional Design & Development
● Lead the end-to-end instructional design process to create engaging, scalable, and user-centric learning content.
● Develop training materials, including e-learning modules, videos, instructor-led training (ILT), virtual ILT (vILT), guides, and job aids.
● Ensure all training content aligns with adult learning principles, industry best practices, and company objectives.
SaaS Integration Training
● Design and deliver training programs focused on SaaS platform integration, API usage, and customization workflows.
● Translate complex technical concepts into clear, actionable learning solutions for both technical and non-technical audiences.
● Collaborate with product and engineering teams to stay updated on platform updates, integration capabilities, and best practices.
Leadership & Collaboration
● Manage and mentor a team of instructional designers, ensuring quality and consistency in deliverables.
● Act as the primary point of contact for stakeholders to assess training needs and define learning objectives.
● Collaborate with customer success, product management, and marketing teams to align training with customer journeys.
Technology & Tools
● Utilize authoring tools such as Articulate Storyline, Adobe Captivate, or similar to create e-learning modules.
● Leverage Learning Management Systems (LMS) to manage and distribute content effectively.
● Integrate multimedia elements, interactive simulations, and assessments into training materials to enhance engagement.
Metrics & Improvement ● Monitor and evaluate the effectiveness of training programs through learner feedback, performance data, and completion rates.
● Continuously iterate on learning content to improve quality and relevance.
● Collaborate with various internal teams (e.g., engineering, product, marketing, support) to incorporate customer insights and real-world use cases into training content, ensuring that all learning solutions meet both business and customer needs.
● Align training content with business and customer success goals, ensuring measurable impact on product adoption, customer satisfaction, and retention. Regularly assess the effectiveness of training programs to optimize learning outcomes and business results.
● Utilize an agile instructional design approach to quickly adapt training content in response to evolving product features, customer feedback, and business requirements. Regularly update and improve course materials to keep pace with product updates.
● Oversee project timelines, resource allocation, and delivery of training initiatives to ensure on-time, high-quality outputs. Manage competing priorities and coordinate with stakeholders to maintain project alignment.
Required Qualifications
● Bachelor’s degree in Instructional Design, Education, or a related field (Master’s preferred).
● 9+ years of experience in instructional design, with at least 3 years in a leadership role.
● Proven experience in creating training for SaaS platforms, particularly in integration and API-based workflows.
● Strong knowledge of adult learning principles, instructional design methodologies, and learning technologies.
● Proficiency with authoring tools (e.g., Articulate 360, Adobe Captivate), video editing tools, and graphic design software.
● Familiarity with LMS platforms and SCORM-compliant content.
Job Description
As an IT Sales Intern, you will be an integral part of our sales team, focusing on field
sales activities. This internship is designed to provide you with hands-on experience in
IT sales, client engagement, and sales strategy. You will have the
opportunity to learn from experienced professionals and contribute to our growth in a
dynamic industry.
Responsibilities
- Identify potential clients through research, networking, and market analysis to
- create a pipeline of leads.
- Develop and maintain relationships with prospective and existing clients by
- providing information on services.
- Develop a deep understanding of our cybersecurity services to effectively
- communicate their value propositions to clients.
- Prepare and deliver compelling sales presentations to showcase our IT solutions
- and address client needs.
- Assist in preparing sales proposals, quotes, and contracts while collaborating
- with the sales team.
- Perform various tasks, such as organizing sales documents, maintaining sales
- records, and scheduling appointments.
- Analyze sales data to identify trends, opportunities, and areas for improvement.
- This may involve creating reports and presentations to share insights with the
- sales team.
- Actively participate in training sessions and workshops to enhance your
- knowledge of IT services.
Candidate Skills
- Strong communication and interpersonal skills.
- Eagerness to learn and adapt in a fast-paced environment.
- Ability to work independently and as part of a team.
- Basic understanding of IT concepts and technology trends (preferred).
- Previous sales or customer service experience (preferred)..
Qualifications
- Candidate must have a degree in the field of business administration.
- Any vendor natural business development training and certification will be preferred.
Benefits
- Hands-on experience in the cybersecurity industry.
- Training and mentorship from experienced professionals.
- Opportunity to develop valuable sales and business development skills
Salary Package: Performance based
Job Type: Full time (In office)
Start Date: Immediate
Documents Requirement: Previous Internship Experience Letter (if any), ID Proof, Internship job offer letter (if any), Updated CV, Last qualification certificate.
DockerAt Upswing, we are committed to building a robust, scalable & secure API platform to power the world of Open Finance.
We are a passionate and self-driven team of thinkers who aspire to build the rails to connect the legacy financial sector with financial innovators through a simple and powerful banking-as-a-service (BaaS) platform.
We are looking for motivated engineers who will be working in a highly creative and cutting-edge technology environment to build a world-class financial services suite.
About the role
As part of the DevSecOps team at Upswing, you will get to work on building state-of-the-art infrastructure for the future. You will also be –
- Managing security aspects of the Cloud Infrastructure
- Designing and Implementing Security measures, Incident Response guidelines
- Conducting Security Awareness Training
- Developing SIEM tooling and pipelines end to end for vulnerability/security/incident reporting
- Developing automation and performing routine VAPT for Network and Applications
- Integrating with 3rd party vendors for the services required to improve security posture
- Mentoring people across the teams to enable best practices
What will you do if you join us?
- Engage in a lot of cross-team collaboration to independently drive forward DevSecOps practices across the org
- Take Ownership of existing, ongoing, and future DevSecOps initiatives
- Plan and Engage in Architecture discussions to bring in different angles (especially security angles) to the table
- Build Automation stack and tools for security pipeline
- Integrate different security measures and pipelines with the SIEM tool
- Conducting routine VAPT using manual and automated workflows, generating and maintaining the report for the same
- Introduce and Implement best practices across teams for a great security posture in the org
You should have
- Curiosity for on-the-job learning and experimenting with new technologies and ideas
- A strong background in Linux environment
- Proven experience in Architecting networks with security first implementation
- Experience with VAPT tooling for Networks and Applications is required
- Strong experience in Cloud technologies, multi-cloud environments, and best practices in Cloud
- Experience with at least one scripting language (Ruby/Python/Groovy)
- Experience in Terraform is highly desirable but not mandatory
- Some experience with Kubernetes, and Docker is required
- Understanding Java web applications and monitoring them for security vulnerabilities would be a plus
- Any other DevSecOps-related experience will be considered
- Running Social Media Campaigns across all platforms (Google, FB,Insta etc).
- Managing and taking responsibility of the Store KPI’s
- Reaching out to as many consumers as possible by building scalable multi-touch programs and campaigns that span not only online but also offline channels
- Sourcing customers through social media campaigns, strategic partnerships, and Google Adwords campaigns of potential buyers in the TG.
- Being responsible for online ads such as Adwords, SEO, radio, email marketing, and content syndication.
- Playing a key role in the planning and management of SEM, Email Marketing, and so forth.
- Being responsible for Lead Management and nurturing through various interventions and Channels.
- Conducting research and analyses to deliver reports to the senior management on the performance of marketing campaigns and programs.
- Conducting forecasting and estimations on the profitability of the campaigns.
- Optimizing targeting and segmentation, as well as the allocation of budgets across multiple paid social channels inclusive of YouTube and Facebook to generate cost effective user actions.
- Passing the lead from the channel to the website.
- Ensuring that appropriate measures are in place for the purpose of assessing consumer satisfaction by liaising with the Customer Experience Management team.
- Collaborating with the engineering, IT, search marketing, and operations departments to optimize programs, campaigns, and landing pages, based on the real-time performance and the ROI.
- Building / Integrating various marketing automation tools for the purpose of enhancing the digital marketing efforts.
- Ensuring that leads are converted into consumers through well-crafted campaigns and close partnership with the sales department.
- Partnering up with senior performance management and key stakeholders in reporting back on the effectiveness of programs and campaigns, conversion rates, and online sales.
- Actively participating in the support and development of new ideas by key marketing department personnel, for example, SEO, SEM, and CRM managers
Desired Candidate Profile
What you need to have:- Bachelor’s degree in Marketing, Business Administration, Information Technology, Computer Science, or any other related field. An equivalent of the same in working experience is also acceptable.
- 3+ years working experience in online acquisition marketing position. Working experience in a key marketing position, preferably as a SEO/SEM Manager Is a plus.
- Experience in building and scaling acquisition programs that target consumers as well as experience in media planning across a broad online media mix.
- Should portray a passion and exceptional analytical skills and demonstrate a fluency in acquisition of metrics, being able to evaluate and orchestrate large campaigns spanning numerous marketing channels.
- demonstrate proficiency in optimizing and executing SEM, PPC as well as Facebook Ads, Instagram Ads, and Display Advertising.
- Should be capable of determining key metrics, constantly reduce operational costs, and measure the success of performance strategies.
- Use consumer insights to come up with and develop creative marketing acquisition tactics that can be applied throughout the department.
- Must also be a strong communicator both in verbal and written form.
- Should be capable of translating complex information and data into clear and easily understandable reports.
- Proficient in Ms Word, PowerPoint, and Ms Excel for the purpose of creating both visually and verbally engaging reports.
- Highly adaptable and quick learner. Come up with prompt solutions for marketing campaigns and programs.
- Have exceptional interpersonal skills that will aid in the execution of duties.
- Should have an ability to prioritize and meet deadlines when working on multiple projects with tight deadlines, be decisive, have a positive can-do attitude.
- Have a keen eye for detail, have initiative and be proactive going beyond the call of duty, have an ability to form logical cases that persuade consumers, have an ability to present recommendations and results to senior management with confidence, be consumer-oriented ensuring consumer expectations are always met.
- Should possess the ability to form meaningful relationships with colleagues, collaborating personnel, senior performance management, and even consumers.
What You’ll Do:
- Coordinating the sales team by managing schedules, filing important documents and communicating relevant information
- Ensuring the adequacy of sales-related equipment or material
- Store and sort financial and non-financial data in electronic form and present reports
- Handle the processing of all orders with accuracy and timeliness
- Ensure adherence to laws and policies
- The focus for the Sales Operation Manager is to align the Sales team effort to quarter objective and contribute to the outcome.
- The position requires a complete understanding of the business-to-business sales cycle and ability to use knowledge to increase efficiency and effectiveness.
- Coordinate integration of the sales methodology and content usage into the company’s CRM/ automation application. Explore data management platforms to increase efficiency
- Analyse sales data and creates processes to drive accurate 30-60-90 Day forecasting & funnel management.
- Update & manage the sales content portfolio in conjunction to Product & Marketing initiatives , introduce & improve methods to deliver content to the sales team which are handed out to the market
Who You Are
You are an enthusiastic person and people manager with the ability to teamwork, collaborate their skills and be a supportive team member . You appreciate that “done” is better than “perfect” and find entrepreneurial ways to persevere through obstacles. You manage Cross-functionally, but still move fast to get things done. You believe in the vision of WorkAmp while striving for continuous and ongoing sales efficiency and quality improvements to provide the best Office Solutions for our members. You also have the following:
- Proven experience as a sales coordinator or in other administrative positions will be considered a plus;
- Experience in Sales Operations in the past
- Good computer skills (MS Office)
- Proficiency in English
- Well-organized and responsible with an aptitude in problem-solving
- Excellent verbal and written communication skills
- A team player with high level of dedication
- BSc/BA in business administration or relevant field;
- certification in sales or marketing will be an asset
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon