Search Engine Optimization

We’re Hiring: Sales Professionals

(Intern | Fresher | Experienced)

Location: Work From Home

Experience: 0–3 Years

Industry: IT Services / Software Solutions

About Unoiatech

Unoiatech is a technology-driven company providing custom software products and IT services to clients across multiple industries such as Healthcare, Billboard/Outdoor Advertising, Telecom, and more. We help businesses solve real challenges where their software, systems, or digital processes are not working efficiently.

Role Overview

We are looking for enthusiastic and result-oriented Sales professionals who can identify potential customers, understand their business problems, and offer Unoiatech’s IT solutions accordingly.

This role involves end-to-end B2B sales activities — from lead generation to closing deals (or assisting in closure).

Role & Responsibilities

• Learn B2B IT sales fundamentals
• Generate leads using LinkedIn, Google, and online research
• Learn CRM and sales reporting
• Independently generate and qualify leads
• Understand client pain points and propose solutions
• Build client interest and coordinate with seniors for closures
• Own the complete sales cycle
• Handle B2B clients across different industries

Required Skills

• Strong communication skills
• Research and problem-identification ability
• Target-oriented and self-driven mindset
• Willingness to learn IT services & solutions
• Prior B2B / IT sales experience is a plus 
•  What We Offer
• Work-from-home opportunity
• 5-day working (Monday–Friday)
• Sales training & mentorship
• Opportunity to work with global clients

Key Responsibilities  

• Design, build, and optimize scalable data pipelines for AI/ML applications.
• Develop, train, evaluate, and deploy Machine Learning and Deep Learning models.
• Build production-ready LLM applications using Retrieval-Augmented Generation (RAG), prompt engineering, and vector databases.
• Fine-tune open-source and foundation models using domain-specific datasets.
• Develop and maintain end-to-end MLOps pipelines for model deployment, monitoring, and lifecycle management.
• Perform data preprocessing, feature engineering, exploratory data analysis (EDA), and model evaluation.
• Develop APIs and AI services for production deployment.
• Collaborate with cross-functional teams to deliver scalable AI-driven solutions.
• Monitor model performance, troubleshoot production issues, and maintain technical documentation.

Required Skills  

Mandatory  

• 1–3 years of experience in Data Science, Data Engineering, or AI/ML development.
• Strong programming skills in Python and SQL.
• Hands-on experience with Machine Learning frameworks such as PyTorch, TensorFlow, or Scikit-learn.
• Experience building LLM-powered applications using RAG, Prompt Engineering, and Embeddings.
• Hands-on experience with LangChain, LlamaIndex, CrewAI, or n8n for LLM orchestration and AI workflow automation.
• Experience in LLM fine-tuning and working with Hugging Face models.
• Knowledge of MLOps concepts including model deployment, monitoring, versioning, and CI/CD.
• Experience with Git, REST APIs, Linux environments, and data processing libraries.

Preferred  

• Experience with vector databases such as Pinecone, Chroma, Milvus, or Weaviate.
• Familiarity with Docker, Kubernetes, and MLflow.
• Exposure to Apache Spark or Airflow for data engineering workflows.
• Experience with cloud platforms (AWS, Azure, or GCP).

Primary Technology Stack  

• Languages & Data Processing: Python, SQL, Pandas, NumPy, Apache Spark
• AI & Machine Learning: PyTorch, TensorFlow, Scikit-learn
• Application Frameworks: LangChain, LlamaIndex, CrewAI, n8n
• Core Methodologies: Retrieval-Augmented Generation (RAG), Model Fine-Tuning, Prompt Engineering, Embeddings
• Models & Infrastructure: OpenAI APIs, Hugging Face Ecosystem, Embedding Models
• Vector Databases: Pinecone, Chroma, Milvus, Weaviate
• Databases: PostgreSQL, MongoDB
• MLOps & DevOps: Docker, Kubernetes, MLflow, CI/CD, Git
• Cloud Platforms: AWS, Azure, GCP

Experience: 1–3 Years

Domain: Data Science | Data Engineering | Machine Learning | Generative AI | MLOps

What We’re Looking For

● 2–4 years of experience in digital product/service sales, partnerships, or client strategy.

● Strong negotiation and relationship-building skills.

● Exposure to high-ticket deals (₹5L+/month preferred).

● Proficiency with CRM platforms (e.g., Salesforce, HubSpot).

● Backgrounds we prefer:

○ Digital Marketing / AdTech / Online Media

○ Fintech / Investment / Digital Banking

● Self-driven and strategic — with a partnership, not transactional, mindset.

Role Overview

● Full-time, on-site role focused on building demand-side partnerships.

● Involves research, strategic outreach, and long-term alliance building.

● Structured and insight-driven — not a traditional BD role.

● Complete ownership from lead research to onboarding and retention.

Opportunity Summary

We are looking for an enthusiastic engineer with experience building Salesforce AppExchange apps to lead the development of Salesforce connectors for our marketing technology products.

What would you do?

·      Collaborate with stakeholders in establishing application requirements, determining features, creating customer-friendly solutions, and determining support needs and performance requirements. 

·      Plan, design, develop, test, and deploy software to satisfy these requirements. 

·      Work according to the agile programming application development methodology adhered to including test-first, iterative development, and continuous re-prioritization.  

·      Support the maintenance of our hosted technology solutions. 

·      Work with other team members in accomplishing group objectives and participating in code reviews. 

·      Ensure timely and robust implementation of the company’s development plans.

·      Ensure that all relevant parties are kept up to date on progress of projects and give feedback on an ongoing basis. 

·      Contribute to the review, selection, and adoption of proprietary tools and technologies. 

·      Use specialist knowledge and experience of information technology to provide technical advice and vision.

Technical Skills

The following skills are needed for this role.

Experience

·      5+ years’ experience in web application design and development 

·      Bachelor’s Degree in relevant discipline or equivalent experience 

Primary Skills

·      Strong background in Front-end technologies – HTML, CSS, JavaScript, React, Angular, etc. 

·      Experience with node.js

·      An understanding of User Experience and a background in building intuitive interfaces. 

Secondary Skills (nice to have)

·      Experience with Shopify integrations.

·      Experience building native apps for other platforms.

·      Experience with Salesforce APEX, VisualForce, SOQL, etc.

·      AWS ecosystem and tools, particularly developing for serverless environments. 

·      Any experience with other languages will be beneficial.

Soft Skills

·      Proven ability to lead a team and mentor others. 

·      Thrives collaborating in a team environment with a diverse range of people.

·      Passionate about delivering an amazing customer experience.

·      Able to have a change of mind, and able to change the minds of others.

·      Writes clearly and concisely.

·      Capable of working without a company office, with a fully remote team.

Growth Skills

·      Possesses a good work ethic; a self-starter with a desire to grow.

·      Always looking for better ways to get the job done.

Overview

Adesso India specialises in optimization of core business processes for organizations. Our focus is on providing state-of-the-art solutions that streamline operations and elevate productivity to new heights.

Comprised of a team of industry experts and experienced technology professionals, we ensure that our software development and implementations are reliable, robust, and seamlessly integrated with the latest technologies. By leveraging our extensive knowledge and skills, we empower businesses to achieve their objectives efficiently and effectively.

Job Description

We are looking for a skilled and experienced Senior Frontend Developer specializing in Vue.js to join our team. In this role, you will be responsible for designing and implementing user interfaces that enhance our customer experience. Your contributions will play a critical role in driving the success of our projects by creating dynamic, intuitive, and responsive web applications.

Responsibilities:

Develop, maintain, and enhance web applications using Vue.js to create seamless, user-friendly experiences.

Collaborate with cross-functional teams, including UX/UI designers, product managers, and backend developers, to deliver high-quality products.

Write clean, maintainable, and scalable code while adhering to best practices in frontend development.

Perform code reviews, optimize application performance, and debug issues for a smooth user experience.

Stay updated on the latest Vue.js features and web development trends to bring innovative ideas to the team.

Requirements:

Minimum of 5 years of experience in frontend development with a strong focus on Vue.js.

Minimum of 1 year of experience in development with TypeScript

Expertise in JavaScript, HTML5, CSS3, and responsive web design.

Proficient in Vue.js and Vuex, with experience in RESTful APIs and component-based development.

Familiarity with modern development tools and workflows (e.g., Git, Webpack, npm).

Excellent verbal and written communication skills to work effectively with team members and stakeholders.

Nice-to-Have:

Experience with accessibility.

Experience in regulated IT environments, preferably banks or insurance companies (financial institutions).

Knowledge of agile methodologies and working in cross-functional, collaborative teams.

Skills & Requirements

Vue.js, Vuex, TypeScript, JavaScript, HTML5, CSS3, Responsive Web Design, RESTful APIs, Component-Based Development, Git, Webpack, npm, Code Reviews, Performance Optimization, Debugging, UX/UI Collaboration, Agile Methodologies, Accessibility, Regulated IT Environments, Financial Institutions, Cross-Functional Teamwork, Communication Skills.

Employee Relations:Handle employee relations matters, including conflict resolution, investigations, and disciplinary actions.

Foster positive working relationships and ensure a healthy work environment.

Recruitment and Staffing:Collaborate with hiring managers to understand staffing needs.

Post job openings, conduct interviews, and facilitate the hiring process.

Manage onboarding processes for new hires.

Training and Development:Identify training needs and coordinate training programs.

Support employee development initiatives and career planning.

Performance Management:Administer performance appraisal processes.

Provide guidance to managers on performance improvement plans.

Benefits Administration:Administer employee benefits programs, including health insurance, retirement plans, and other perks.

Assist employees with benefits-related inquiries.

Compliance:Ensure compliance with federal and state employment laws and regulations.

Stay informed about changes in HR laws and best practices.

HR Policy Implementation:Develop and implement HR policies and procedures.

Communicate policies to employees and ensure adherence.

Data Management:Maintain accurate and up-to-date employee records.

Generate HR reports for management as needed.

Employee Engagement:Develop and implement employee engagement initiatives.

Conduct surveys and gather feedback to improve workplace satisfaction.

Qualifications:

• Bachelor's degree in Human Resources, Business Administration, or a related field.

• Proven experience as an HR Generalist or in a similar HR role.

• Knowledge of HR laws, regulations, and best practices.

• Strong interpersonal and communication skills.

• Ability to maintain confidentiality and handle sensitive information.

• Detail-oriented with excellent organizational and multitasking abilities.

Note: The above job description is a general outline and may vary based on the specific needs and structure of the organization. Some HR Generalists may also be involved in additional areas such as compensation, workforce planning, or organizational development.

Managing Social media Accounts

Posting on Social Media accounts

Making suggestions for creative ad campaigns and templates.

Can track data and analyze the performance of social media campaigns.

About The Role

CapitalNow.in technical team is seeking a hands-onQA Engineer with a noted experience on Manual Mobile Application, API Testing  and has the knowledge on Database.. The technical team is responsible for developing the supported mobile application and web app for customers and a control panel for the marketing team involved in CapitalNow.in.

Responsibilities

• Involved in Product discussions and discussions on impact analysis.
• Writing Test cases and Test scenarios for the application and passing QA for regular updates.
• Daily sanity checks to ensure that the product is working as expected.
• Assured quality, security and compliance requirements are met for supported technology domains.
• Leads modules and as an escalation point, provides guidance and direction to less experienced staff in resolution of highly complex technical problems..

Essential Qualifications

• Have at least 3 years of hands-on working experience in Quality Analysis.
• Have 1+ years of experience in Database Queries (mySQL or similar).
• Have in depth knowledge on writing Test Cases and Test Scenarios.
• Have experience on writing complex queries using MySQL.
• Having knowledge on JIRA or similar tracking tools.
• Experience working in large projects with ability to multitask.
• Strong analytical, communication and interpersonal skills.

Desired Qualifications

• Having experience working in the Financial Services domain (good if it's in capital markets) is an added advantage.
• Immediate joiner is most preferable.

We are looking for an outstanding Big Data Engineer with experience setting up and maintaining Data Warehouse and Data Lakes for an Organization. This role would closely collaborate with the Data Science team and assist the team build and deploy machine learning and deep learning models on big data analytics platforms.

Roles and Responsibilities:

• Develop and maintain scalable data pipelines and build out new integrations and processes required for optimal extraction, transformation, and loading of data from a wide variety of data sources using 'Big Data' technologies.
• Develop programs in Scala and Python as part of data cleaning and processing.
• Assemble large, complex data sets that meet functional / non-functional business requirements and fostering data-driven decision making across the organization.  
• Responsible to design and develop distributed, high volume, high velocity multi-threaded event processing systems.
• Implement processes and systems to validate data, monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.
• Perform root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Provide high operational excellence guaranteeing high availability and platform stability.
• Closely collaborate with the Data Science team and assist the team build and deploy machine learning and deep learning models on big data analytics platforms.

Skills:

• Experience with Big Data pipeline, Big Data analytics, Data warehousing.
• Experience with SQL/No-SQL, schema design and dimensional data modeling.
• Strong understanding of Hadoop Architecture, HDFS ecosystem and eexperience with Big Data technology stack such as HBase, Hadoop, Hive, MapReduce.
• Experience in designing systems that process structured as well as unstructured data at large scale.
• Experience in AWS/Spark/Java/Scala/Python development.
• Should have Strong skills in PySpark (Python & SPARK). Ability to create, manage and manipulate Spark Dataframes. Expertise in Spark query tuning and performance optimization.
• Experience in developing efficient software code/frameworks for multiple use cases leveraging Python and big data technologies.
• Prior exposure to streaming data sources such as Kafka.
• Should have knowledge on Shell Scripting and Python scripting.
• High proficiency in database skills (e.g., Complex SQL), for data preparation, cleaning, and data wrangling/munging, with the ability to write advanced queries and create stored procedures.
• Experience with NoSQL databases such as Cassandra / MongoDB.
• Solid experience in all phases of Software Development Lifecycle - plan, design, develop, test, release, maintain and support, decommission.
• Experience with DevOps tools (GitHub, Travis CI, and JIRA) and methodologies (Lean, Agile, Scrum, Test Driven Development).
• Experience building and deploying applications on on-premise and cloud-based infrastructure.
• Having a good understanding of machine learning landscape and concepts. 

Qualifications and Experience:

Engineering and post graduate candidates, preferably in Computer Science, from premier institutions with proven work experience as a Big Data Engineer or a similar role for 3-5 years.

Certifications:

Good to have at least one of the Certifications listed here:

    AZ 900 - Azure Fundamentals

    DP 200, DP 201, DP 203, AZ 204 - Data Engineering

    AZ 400 - Devops Certification