BDE -Upwork bidding

Key Responsibilities

Identify and bid on relevant projects on platforms like Upwork, Freelancer, Fiverr, Guru, and PeoplePerHour.

Write compelling business proposals, cover letters, and client responses to secure projects.

Engage with potential clients, understand their requirements, and provide tailored solutions.

Negotiate terms, finalize contracts, and ensure smooth project onboarding.

Maintain strong follow-ups with leads and nurture relationships for long-term business growth.

Collaborate with the technical team to ensure the successful execution of projects.

Stay updated with market trends and competitors to strategize effectively.

Required Skills & Qualifications

✅ 2+ years of experience in bidding and proposal writing.

✅ Proven track record of successfully acquiring projects from Upwork, Freelancer, and similar platforms.

✅ Excellent written and verbal communication skills.

✅ Strong understanding of IT services, web development, and digital solutions.

✅ Ability to negotiate deals and handle client queries professionally.

✅ Strong analytical and problem-solving skills to create effective proposals.

Why Join Us?

🚀 Exciting Growth Opportunities – Work with international clients and high-value projects.

💰 Attractive Incentives – Performance-based bonuses and rewards.

🤝 Collaborative Team Culture – Work with experienced professionals in a dynamic environment.

🏡 Skill Enhancement – Continuous learning and development opportunities.

Position: Buyer/ Buying Manager - Apparel Retail Brand

Experience: 2-10 year in apparel retail brand

Salary: Negotiable

Location: Gurgaon

Industry: Fashion/ Retail

The Manager – Buying will be responsible for planning, selecting, and managing product ranges that align with the business objectives. The role requires a strong commercial acumen and an eye for market trends to deliver a compelling product offering that drives sales, maximizes profitability, and meets customer expectations

Key Deliverables (Essential Functions & Responsibilities of the Job):

·        Formulate quarterly product plans in alignment with business goals.

·        Prepare and present range selections to secure sign-off with the Head.

·        Manage product bookings to support launch plans and respond to in-season variables.

·        Conduct in-depth analysis to inform and support buying decisions.

·        Monitor and respond to sales performance; adjust production plans in coordination with suppliers.

·        Set and review targets for sales, margins, stock levels, and availability.

·        Participate in operating plan reviews and identify key learnings.

·        Oversee catalogue planning, markdown strategies, and IRP completion.

·        Ensure timely alignment between production flows and business commitments.

·        Coordinate with suppliers to manage MSI capacity and production timelines.

·        Provide necessary information to support retail layout planning.

·        Contribute to the development of effective pricing strategies.

·        Stay updated on competitor product offerings and market trends.

·        Plan and optimize catalogue assortments, especially tailored to specific store clusters or geographies.

·        Support implementation of new systems, tools, and process improvements.

Key Requirement:

·        Ownership of department operating plan.

·        Selection and curation of products from the global catalogue, ensuring alignment with trends, volume drivers, and key focus areas.

·        Develop local product lines to address market gaps and margin opportunities.

·        Strategize product flow and phasing to align with commercial calendar.

·        Ensure product delivery adheres to the buying plan and critical path.

·        Manage catalogue planning and execution.

·        Develop faster-turnaround products for in-season responsiveness.

·        Create value fashion lines suited for Tier 2 markets.

·        Collaborate with VM and Marketing to showcase seasonal looks and trends effectively.

·        Drive product visibility and performance during peak trading periods, such as gifting seasons.

Mail updated resume with current salary:

Email: etalenthire[at]gmail[dot]com

Satish: 88 O2 74 97 43

We are looking for a skilled and self-driven Data Engineer to strengthen our data platform and

improve overall data quality, reliability, and usability for customers and internal stakeholders.

This role is critical to building and maintaining scalable data pipelines, well-structured data

models, and analytics-ready systems. The ideal candidate has startup experience, enjoys

building systems from scratch, and takes ownership end to end.

Roles and Responsibilities

● Design, build, and maintain scalable data pipelines and ETL workflows to support

analytics and product use cases.

● Develop and manage data warehousing solutions using platforms like Snowflake,

Redshift, or ClickHouse.

● Ensure data quality, consistency, and reliability across all data sources and downstream

systems.

● Collaborate closely with product, analytics, and engineering teams to understand data

requirements.

● Build and optimize data models for reporting, dashboards, and analytics.

● Support and enable BI tools such as Power BI, Tableau, or Metabase.

● Monitor pipelines, troubleshoot issues, and continuously improve performance.

● Document data workflows, schemas, and processes for clarity and maintainability.

Skills and Qualifications

● Strong proficiency in SQL

● Experience with data warehousing platforms (i.e. Snowflake, Redshift, ClickHouse)

● Hands-on experience with ETL orchestration tools (i.e. Airflow, dbt, Dagster)

● Experience with dashboarding tools (Power BI, Tableau, Metabase)

● Strong programming skills in Python

● AWS experience is preferred

● Self-starter mindset with startup experience

● Strong problem-solving abilities

● Highly organized with a systems-thinking approach

● Ownership-driven and accountable

● Clear and effective communicator

TensorIoT: 

• AWS Advanced Consulting Partner (for ML and GenAI solutions) 
• Pioneers in IoT and Generative AI products. 
• Committed to diversity and inclusion in our teams.  

TensorIoT is an AWS Advanced Consulting Partner. We assist companies to realize the value and efficiency of the AWS ecosystem. From building Proof of Concepts and Product Prototypes to production-ready applications, we analyze complex business problems every day and develop solutions to drive customers’ success.

The founders of TensorIoT, have previously helped build world-class IoT and AI platforms in AWS and Google. Our mission now is to help connect devices and make them intelligent. We firmly believe in the transformative power of smart devices to enhance our quality of life. 

TensorIoT is proud to be an equal opportunity employer. We are committed to diversity and inclusion and encourage people from all backgrounds to apply. We do not tolerate discrimination or harassment of any kind, and make our hiring decisions based solely on qualifications, merit, and business needs at the time.

Job Description 

At the TensorIoT India team, we look forward to bringing on board mid-level and senior Machine Learning Engineers / Data Scientists. In this section, we briefly describe the work role, the minimum and the preferred requirements to qualify for the first round of the selection process. Please note: A candidate needs to qualify at least 4 of the 7 preferred qualifications listed below, to be eligible for the task / first round of interviews. 

What are the kinds of tasks Data Scientists do at TensorIoT?

As a Data Scientist, the kinds of tasks revolve around the data that we have and the business objectives of the client. The tasks generally involve: Studying, understanding, and analyzing datasets; feature engineering, proposing and solutions, evaluating the solution scientifically, and communicating with the client. Implementing ETL pipelines with database/data lake tools. Conduct and present scientific research/experiments within the team and to the client. 

Preferred Requirements: 

• PhD in the domain of Data Science / Machine Learning 
• M.Sc | M.Tech in the domain of Computer Science / Machine Learning 
• Hands-on experience in MLOps (model deployment, maintenance). 
• Some experience working with Generative AI (LLM). 
• Some experience in creating cloud-native technologies, and microservices design. 
• Well-rounded exposure to Computer Vision, Natural Language Processing, and Time-Series Analysis. 
• Hands-on experience with Docker.

Minimum Requirements: 

• Masters + 3 years of work experience in Machine Learning Engineering OR B.Tech (Computer Science or related) + 5 years of work experience in Machine Learning Engineering 1 year of Cloud Experience. 
• Clear concepts of the following:
• - Supervised Learning, Unsupervised Learning, Reinforcement Learning
• - Statistical Modelling, Deep Learning
• - Interpretable Machine Learning
• - Linear Algebra 
• Scientific & Analytical mindset, proactive learning, adaptability to changes. 
• Strong interpersonal and language skills in English, to communicate within the team and with the clients. 

CV Tips: 

Your CV is an integral part of your application process. We would appreciate it if the CV prioritizes the following: 

• Focus: 
• More focus on technical skills relevant to the job description. 
• Less or no focus on your roles and responsibilities as a manager, team lead, etc. 
• Less or no focus on the design aspect of the document. 
• Regarding the projects you completed in your previous companies, 
• Mention the problem statement very briefly. 
• Your role and responsibilities in that project. 
• Technologies & tools used in the project. 
• Always good to mention (if relevant): 
• Scientific papers published, Master Thesis, Bachelor Thesis. 
• Github link, relevant blog articles. 
• Link to LinkedIn profile. 
• Mention skills that are relevant to the job description and you could demonstrate during the interview/tasks in the selection process.  

We appreciate your interest in the company and look forward to your application.

Job Title: Openshift Engineer

Location: Navi Mumbai (CBD Belapur)

Employment Type: Full-time

(Payment Aggregator Project) A Leading Bank

Experience Required: 5+ years

Work Schedule: Alternate Saturdays working

Relocation: Candidates from across India are welcome to apply, but relocation to Navi Mumbai and office presence is required.

Must Have Skills:

5 to 12 years of experience working with OpenShift, Kubernetes, Docker, and related container technologies.

Strong expertise in CI/CD tools such as Jenkins, GitLab CI, or similar.

Proficiency in scripting languages like Bash, Python, and experience with configuration management tools (e.g., Ansible, Chef, Puppet).

Experience deploying and managing cloud-native solutions and familiarity with cloud platforms (AWS, Azure, Google Cloud).

Excellent problem-solving skills with the ability to troubleshoot complex issues and work effectively in a fast-paced, dynamic environment.

Good to Have Skills:

Familiarity with banking industry standards and compliance requirements (e.g., PCI-DSS, SOX, GDPR).

Experience working in payment aggregator or financial technology (FinTech) projects.

Knowledge of monitoring and logging tools such as Prometheus, Grafana, ELK Stack, or similar.

Experience with Infrastructure as Code (IaC) tools like Terraform or CloudFormation.

Strong communication and teamwork skills, with experience working in cross-functional, Agile teams.

Note: This role requires willingness to work alternate Saturdays as part of the project requirements.

Title: Azure Cloud Developer/Engineer

Exp: 5+ yrs

Location: T-Hub, Hyderabad

Work from office (5 days/week)

Interview rounds: 2-3

Excellent comm skills

Immediate Joiner

Job Description

Position Overview:

We are seeking a highly skilled Azure Cloud Developer/Engineer with experience in designing, developing, and managing cloud infrastructure solutions. The ideal candidate should have a strong background in Azure infrastructure deployment using Terraform,Kubernetes (AKS) with advanced networking, and Helm Charts for application management.Experience with AWS is a plus. This role requires hands-on expertise in deploying scalable, secure,and highly available cloud solutions with strong networking capabilities.

Key Responsibilities:

• Deploy and manage Azure infrastructure using Terraform through CI/CD pipelines.
• Design, deploy, and manage Azure Kubernetes Service (AKS) with advanced networking features, including on-premise connectivity.
• Create and manage Helm Charts, ensuring best practices for configuration, templating, and application lifecycle management.
• Collaborate with development, operations, and security teams to ensure optimal cloud infrastructure architecture.
• Implement high-level networking solutions including Azure Private Link, VNET Peering, ExpressRoute, Application Gateway, and Web Application Firewall (WAF).
• Monitor and optimize cloud environments for performance, cost, scalability, and security using tools like Azure Cost Management, Prometheus, Grafana, and Azure Monitor.
• Develop CI/CD pipelines for automated deployments using Azure DevOps, GitHub Actions, or Jenkins, integrating Terraform for infrastructure automation.
• Implement security best practices, including Azure Security Center, Azure Policy, and Zero Trust Architecture.
• Troubleshoot and resolve issues in the cloud environment using Azure Service Health, Log Analytics, and Azure Sentinel.
• Ensure compliance with industry standards (e.g., CIS, NIST, ISO 27001) and organizational security policies.
• Work with Azure Key Vault for secrets and certificate management.
• Explore multi-cloud strategies, integrating AWS services where necessary.

Key Skills Required:

• Azure Cloud Infrastructure Deployment: Expertise in provisioning and managing Azure resources using Terraform within CI/CD pipelines.
• Kubernetes (AKS) with Advanced Networking: Experience in designing AKS clusters with private networking, hybrid connectivity (ExpressRoute, VPN), and security best practices.
• Infrastructure as Code (Terraform, Azure Bicep): Deep understanding of defining and maintaining cloud infrastructure through code.
• Helm Charts: Strong expertise in creating, deploying, and managing Helm-based Kubernetes application deployments.
• Networking & Security: In-depth knowledge of VNET Peering, Private Link, ExpressRoute,Application Gateway, WAF, and hybrid networking.
• CI/CD Pipelines: Experience with building and managing Azure DevOps, GitHub Actions, or Jenkins pipelines for infrastructure and application deployment.
• Monitoring & Logging: Experience with Prometheus, Grafana, Azure Monitor, Log Analytics,and Azure Sentinel.
• Scripting & Automation: Proficiency in Bash, PowerShell, or Python.
• Cost Optimization (FinOps): Strong knowledge of Azure Cost Management and cloud financial governance.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
• 5+ years of experience in cloud engineering, preferably with Azure-focused infrastructure deployment and Kubernetes networking.
• Strong understanding of containerization, orchestration, and microservices architecture.

Certifications (Preferred):

Required:

• Microsoft Certified: Azure Solutions Architect Expert
• Microsoft Certified: Azure DevOps Engineer Expert

Nice to Have (AWS Experience):

• AWS Certified Solutions Architect – Associate or Professional
• AWS Certified DevOps Engineer – Professional

Nice to Have Skills:

• Experience with multi-cloud environments (Azure & AWS).
• Familiarity with container security tools (Aqua Security, Prisma Cloud).
• Experience with GitOps methodologies using tools like ArgoCD or Flux.
• Understanding of serverless computing and event-driven architectures (Azure Functions, Event Grid, Logic Apps).

Benefits

Why Join Us?

• Competitive salary with performance-based incentives.
• Opportunities for professional certifications (e.g., AWS, Kubernetes, Terraform).
• Access to training programs, workshops, and learning resources.
• Comprehensive health insurance coverage for employees and their families.
• Wellness programs and mental health support.
• Hands-on experience with large-scale, innovative cloud solutions.
• Opportunities to work with modern tools and technologies.
• Inclusive, supportive, and team-oriented environment.
• Opportunities to collaborate with global clients and cross-functional teams.
• Regular performance reviews with rewards for outstanding contributions.
• Employee appreciation events and programs.

Qualifications

• someone has IT/technical background to improve the IT operations
• Account Management and Sales skills
• Experience in Sales Management
• Digital Media and Digital Marketing skills
• Excellent communication and interpersonal skills
• Ability to build and maintain relationships with clients
• Knowledge of e-commerce and online marketing
• Strong analytical and problem-solving skills

Role Description:

This is a full-time on-site role for a Digital Sales Manager at Bigpage. The Digital Sales Manager will be responsible for selling software, website design, Facebook marketing, SEO, PPC, Social media, digital media, and digital marketing.

The role involves day-to-day tasks such as creating and implementing sales strategies, maintaining client relationships, and utilizing digital marketing techniques to drive sales.

• Prepare sales proposal with quality and concise information
• Follow up the prospects on a regular basis to increase the sales
• Build a strong communication process for team and clients
• Weekly or Biweekly training and coaching to improve communication, sales and after sales
• Build a 30, 90 and 180 days plan to improve the new sales pipelines and renewals
• Report to management with actionable insights (i.e: Critical business issues, opportunities, key actions need to be taken, etc.) on regularly basis

PHP Developer

A PHP developer (Team Lead) is responsible for writing server-side web application logic. PHP developers usually develop back-end components, connect the application with the other (often third-party) web services, and support the front-end developers by integrating their work with the application. They are also often required to develop and integrate plugins for certain popular frameworks. Required skill is 1-year experience PHP Developers as a Team Lead ,handle the team and projects.

Required Experience and Skills For PHP Team Lead

• PHP5, MySQL, WordPress, Code-igniter, Smarty (or experience with other MVC frameworks) JavaScript, XHTML, HTML and CSS.
• Strong Analysis & Design.
• Understanding of common design patterns.
• Ability to lead software development project lifecycle.
• Ability to effectively manage time and prioritise work.
• Ability to assess the impact of new project requirements on an existing team workload.
• Technical writing skills producing clear and unambiguous technical documentation and user stories.
• Ability to lead the development team under the direction of the Head of Technology.
• Good Communication.

PHP team lead job Responsibilities and Duties

• Establishing ways for team members to complete their tasks.
• Creating communication channels between the team and other departments.
• Estimation management.
• Time sheet management.
• Proper resource management.
• Proper time management.
• Quality management.
• Responsible for identifying project risks.
• Defining milestones for a new project.

Job Location: Rajkot, Gujarat

Position: 02

Experience : Minimum 1 year as a Team Lead

Technical Skills : Well versed PHP Developers, ability to handle the team and projects.

Responsibilities:

• Identify relevant data sources - a combination of data sources to make it useful.
• Build the automation of the collection processes.
• Pre-processing of structured and unstructured data.
• Handle large amounts of information to create the input to analytical Models.
• Build predictive models and machine-learning algorithms Innovate Machine-Learning , Deep-Learning algorithms.
• Build Network graphs , NLP , Forecasting Models Building data pipelines for end-to-end solutions.
• Propose solutions and strategies to business challenges. Collaborate with product development teams and communicate with the Senior Leadership teams.
• Participate in Problem solving sessions

Requirements:

• Bachelor's degree in a highly quantitative field (e.g. Computer Science , Engineering , Physics , Math , Operations Research , etc) or equivalent experience.
• Extensive machine learning and algorithmic background with a deep level understanding of at least one of the following areas: supervised and unsupervised learning methods , reinforcement learning , deep learning , Bayesian inference , Network graphs , Natural Language Processing Analytical mind and business acumen
• Strong math skills (e.g. statistics , algebra)
• Problem-solving aptitude Excellent communication skills with ability to communicate technical information.
• Fluency with at least one data science/analytics programming language (e.g. Python , R , Julia).
• Start-up experience is a plus Ideally 5-8 years of advanced analytics experience in startups/marquee com

Required Skills:

Machine Learning, Deep Learning, Algorithms, Computer Science, Engineering, Operations Research, Math Skills, Communication Skills, SAAS Product, IT Services, Artificial Intelligence, ERP, Product Management, Automation, Analytical Models, Predictive Models, NLP, Forecasting Models, Product Development, Leadership, Problem Solving, Unsupervised Learning, Reinforcement Learning, Natural Language Processing, Algebra, Data Science, Programming Language, Python, Julia

Data Analyst

Job Description

Are you passionate about handling large & complex data problems, want to make an impact and have the desire to work on ground-breaking big data technologies? Then we are looking for you.

At Amagi, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Would you like to work in a fast-paced environment where your technical abilities will be challenged on a day-to-day basis? If so, Amagi’s Data Engineering and Business Intelligence team is looking for passionate, detail-oriented, technical savvy, energetic team members who like to think outside the box.

Amagi’s Data warehouse team deals with petabytes of data catering to a wide variety of real-time, near real-time and batch analytical solutions. These solutions are an integral part of business functions such as Sales/Revenue, Operations, Finance, Marketing and Engineering, enabling critical business decisions. Designing, developing, scaling and running these big data technologies using native technologies of AWS and GCP are a core part of our daily job.

• Experience in building highly cost optimised data analytics solutions
• Experience in designing and building dimensional data models to improve accessibility, efficiency and quality of data
• Experience (hands on) in building high quality ETL applications, data pipelines and analytics solutions ensuring data privacy and regulatory compliance.
• Experience in working with AWS or GCP
• Experience with relational and NoSQL databases
• Experience to full stack web development (Preferably Python)
• Expertise with data visualisation systems such as Tableau and Quick Sight
• Proficiency in writing advanced SQL queries with expertise in performance tuning handling large data volumes
• Familiarity with ML/AÍ technologies is a plus
• Demonstrate strong understanding of development processes and agile methodologies
• Strong analytical and communication skills. Should be self-driven, highly motivated and ability to learn quickly

Data Analytics is at the core of our work, and you will have the opportunity to:

• Design Data-warehousing solutions on Amazon S3 with Athena, Redshift, GCP Bigtable etc
• Lead quick prototypes by integrating data from multiple sources
• Do advanced Business Analytics through ad-hoc SQL queries
• Work on Sales Finance reporting solutions using tableau, HTML5, React applications

We build amazing experiences and create depth in knowledge for our internal teams and our leadership. Our team is a friendly bunch of people that help each other grow and have a passion for technology, R&D, modern tools and data science.

Our work relies on deep understanding of the company needs and an ability to go through vast amounts of internal data such as sales, KPIs, forecasts, Inventory etc. One of the key expectations of this role would be to do data analytics, building data lakes, end to end reporting solutions etc. If you have a passion for cost optimised analytics and data engineering and are eager to learn advanced data analytics at a large scale, this might just be the job for you..

A bachelor’s/master’s degree in Computer Science with 5 to 7 years of experience and previous experience in data engineering is a plus.