Project Manager

Position : Business Analyst

Experience : 5+ Years

Location : Remote

Notice Period : Immediate Joiners Preferred (or candidates serving 10–15 days’ notice)

Interview Mode : Virtual

Job Description :

We are seeking an experienced Business Analyst with a strong background in requirements gathering, functional documentation, and stakeholder management, particularly in the US Healthcare payer domain.

Mandatory Skills :

Business Analysis, US Healthcare Payer Domain, Requirement Gathering, User Stories, Gap & Impact Analysis, Azure DevOps/TFS, SQL, UML Modeling, SDLC/STLC, System Testing, UAT, Strong Communication Skills.

Key Responsibilities :

• Analyze and understand complex business and functional requirements.
• Translate business needs into detailed User Stories, functional and technical specifications.
• Conduct gap analysis and impact assessment for new and existing product features.
• Create detailed documentation including scope, project plans, and secure stakeholder approvals.
• Support System Testing and User Acceptance Testing (UAT) from a functional perspective.
• Prepare and maintain release notes, end-user documentation, training materials, and process flows.
• Serve as a liaison between business and technical teams, ensuring cross-functional alignment.
• Assist with sprint planning, user story tracking, and status updates using Azure DevOps / TFS.
• Write and execute basic SQL queries for data validation and analysis.

Required Skills :

• Minimum 5 years of experience as a Business Analyst.
• Strong analytical, problem-solving, and communication skills.
• Solid understanding of Project Life Cycle, STLC, and UML modeling.
• Prior experience in US Healthcare payer domain is mandatory.
• Familiarity with tools like Azure DevOps / TFS.
• Ability to work with urgency, manage priorities, and maintain attention to detail.
• Strong team collaboration and stakeholder management.

Job Overview

We are seeking a professional, well-presented Receptionist to serve as the first point of contact for clients and visitors. The ideal candidate will create a welcoming front-desk experience while efficiently handling daily reception responsibilities and providing basic administrative support to the HR/Admin team.

Key Responsibilities

• Greet and welcome clients, visitors, and guests with professionalism and warmth
• Manage incoming calls, emails, and general inquiries promptly and courteously
• Ensure the reception area is clean, organized, and presentable at all times
• Schedule appointments and coordinate calendars as required
• Manage office supplies and coordinate with vendors and service providers
• Maintain records, files, and documents in an organized manner
• Coordinate couriers, deliveries, and incoming/outgoing mail
• Provide administrative support for meetings, interviews, and office activities
• Assist with day-to-day office operations and support other departments when needed

Required Skills & Qualifications

• Excellent verbal and written communication skills in English (Kannada proficiency is a plus)
• Professional, presentable, and well-groomed appearance
• Strong organizational, multitasking, and time-management skills
• Proficiency in MS Office (Word, Excel, Outlook)
• Friendly, approachable, and customer-focused attitude
• Prior experience in a receptionist or front-desk role is an added advantage

Job Description

· Design technical specifications for RPA (Uipath) that meets the requirements and handled all the non functional requirements of concurrency, scalability, security requirements, restart and recovery.

· Develops and configures automation processes as per the technical design document to meet the defined requirements. Works on the coding the more complicated automations or reusable components, and delegates and mentors junior developers for the less complex components.

· Develops new processes/tasks/objects using core workflow principles that are efficient, well structured, maintainable and easy to understand.

· Complies with and helps to enforce design and coding standards, policies and procedures.

· Ensures documentation is well maintained.

· Ensures quality of coded components by performing thorough unit testing.

· Works collaboratively with test teams during the Product test and UAT phases to fix assigned bugs with quality.

· Reports status, issues and risks to tech leads on a regular basis

· Improves skills in automation products by completing automation certification.

· Mentors junior developers and performs code reviews for quality control.

Qualifications

Bachelor degree in Engineering / Computer Science

Additional Information

· 5- 8 years of IT experience and having good understanding of programming concepts. Should be from a programming background on any coding language (.Net, Java).

· Working experience in RPA for a minimum of 2 years and having project experience of a minimum 3 RPA implementations.

· Understands development methodology and lifecycle

· Should be trained on RPA tools (Uipath).

· Self-motivated, team player, action and results oriented.

· Well organized, good communication and reporting skills.

We are seeking a highly skilled Senior/Lead Data Scientist with deep expertise in AI/ML/Gen AI, including Deep Learning, Computer Vision, and NLP. The ideal candidate will bring strong hands-on experience, particularly in building, fine-tuning, and deploying models, and will work directly with customers with minimal supervision.

This role requires someone who can not only lead and execute technical projects but also actively contribute to business development through customer interaction, proposal building, and RFP responses. You will be expected to take ownership of AI project execution and team leadership, while helping Tekdi expand its AI footprint.

Key Responsibilities:

Contribute to AI business growth by working on RFPs, proposals, and solutioning activities.

• Lead the team in delivering customer requirements, ensuring quality and timely execution.

Develop and fine tune advanced AI/ML models using deep learning and generative AI techniques.

• Fine-tune and optimize Large Language Models (LLMs) such as GPT, BERT, T5, and LLaMA.
• Interact directly with customers to understand their business needs and provide AI-driven solutions.
• Work with Deep Learning architectures including CNNs, RNNs, and Transformer-based models.
• Leverage NLP techniques such as summarization, NER, sentiment analysis, and embeddings.
• Implement MLOps pipelines and deploy scalable AI solutions in cloud environments (AWS, GCP, Azure).
• Collaborate with cross-functional teams to integrate AI into business applications.
• Stay updated with AI/ML research and integrate new techniques into projects.

Required Skills & Qualifications:

• Minimum 6 years of experience in AI/ML/Gen AI, with at least 3+ years in Deep Learning/Computer Vision.
• Strong proficiency in Python and popular AI/ML frameworks (TensorFlow, PyTorch, Hugging Face, Scikit-learn).
• Hands-on experience with LLMs and generative models (e.g., GPT, Stable Diffusion).
• Experience with data preprocessing, feature engineering, and performance evaluation.
• Exposure to containerization and cloud deployment using Docker, Kubernetes.
• Experience with vector databases and RAG-based architectures.
• Ability to lead teams and projects, and work independently with minimal guidance.
• Experience with customer-facing roles, proposals, and solutioning.

Educational Requirements:

• Bachelor’s, Master’s, or PhD in Computer Science, Artificial Intelligence, Information Technology, or related field.

Preferred Skills (Good to Have):

• Knowledge of Reinforcement Learning (e.g., RLHF), multi-modal AI, or time-series forecasting.
• Familiarity with Graph Neural Networks (GNNs).
• Exposure to Responsible AI (RAI), AI Ethics, or AutoML platforms.
• Contributions to open-source AI projects or publications in peer-reviewed journals.

Skills: ETL+ SQL

· Experience with SQL and data querying languages.

· Knowledge of data governance frameworks and best practices.

· Familiarity with programming/scripting languages (e.g., SparkSQL)

· Strong understanding of data integration techniques and ETL processes.

· Experience with data quality tools and methodologies.

· Strong communication and problem-solving skills

Detailed JD: Data Integration: Manage the seamless integration various data lake, ensuring that jobs are running as expected, validate the data ingested , track the DQ checks , rerun/reprocess the jobs in case of failures post figuring out the RCAs

Data Quality Assurance: Monitor and validate data quality during and after the migration process, implementing checks and corrective actions as needed.

Documentation: Maintain comprehensive documentation related to data issues encountered during the weekly/monthly processing and operational procedures.

Continuous Improvement: Recommend and implement improvements to data processing, tools, and technologies to enhance efficiency and effectiveness.

Position Overview:

We are seeking a highly motivated and analytical individual to join our team as a Market Research and

Competitive Intelligence Analyst, specializing in enterprise technologies and telecom markets. As an integral

member of our organization, you will be responsible for gathering, analyzing, and interpreting data to provide

strategic insights and recommendations to support our business decisions and competitive positioning. This role

requires a deep understanding of the enterprise technologies and telecom sectors, as well as strong research,

analytical, and communication skills

 Job Description:

o Conduct comprehensive market research:

 Identify and analyze market trends, industry developments, and emerging technologies in the

enterprise technologies and telecom markets.

 Gather data on market size, market share, growth rates, customer needs, and competitive landscapes.

 Monitor regulatory changes, industry standards, and policy developments impacting the sector.

 Utilize primary and secondary research methods to collect relevant data, including surveys, interviews,

and data analysis tools.

o Perform competitive intelligence analysis:

 Identify key competitors in the enterprise technologies and telecom markets and track their activities,

strategies, and performance.

 Analyze competitors' product offerings, pricing strategies, market positioning, and go-to-market

approaches.

 Evaluate strengths, weaknesses, opportunities, and threats (SWOT) of competitors.

 Conduct benchmarking analysis to assess our company's performance against competitors and identify.

areas for improvement.

o Generate strategic insights and recommendations:

 Synthesize market and competitive data to extract meaningful insights and actionable

recommendations.

 Collaborate with cross-functional teams to provide strategic guidance for product development,

marketing campaigns, and sales strategies.

 Present findings, reports, and recommendations to senior management and stakeholders in a clear and

concise manner.

 Stay abreast of industry trends, best practices, and technological advancements to inform strategic

decision-making.

o Maintain industry knowledge and expertise:

 Continuously update knowledge of enterprise technologies and telecom markets through research,

industry events, and networking.

 Build relationships with industry experts, analysts, and vendors to gain insights and access to relevant

information.

 Act as an internal subject matter expert, providing guidance and training to colleagues on market.

research and competitive intelligence methodologies.

 Team Management:

 Qualifications and Skills/ Experience, Expertise:

o Previous Experience in a Related Field Preferred; Proven work experience as a Market Research Analyst,

o bachelor's degree in business, marketing, economics, or a related field. A master's degree is preferred.

o Proven experience in market research, competitive intelligence, or related fields within the enterprise

technologies and telecom sectors.

o In-depth knowledge of enterprise technologies, such as cloud computing, cybersecurity, artificial intelligence,

and data analytics.

o Familiarity with telecom services, network infrastructure, wireless technologies, and telecommunications

regulations.

o Proficient in gathering, analyzing, and interpreting quantitative and qualitative data from various sources.

o Strong analytical and critical thinking skills, with the ability to translate data into actionable insights and

recommendations.

o Excellent written and verbal communication skills, including the ability to present complex information in a clear

and concise manner.

o Proficiency in using market research tools, data analysis software, and Microsoft Office suite.

o Detail-oriented with strong organizational and project management skills.

o Ability to work independently, prioritize tasks, and meet deadlines in a fast-paced environment.

o Strong business acumen and a keen interest in staying up to date with industry trends and developments

o Strong interpersonal skills and an ability work as part of a team, both physical and virtual

o Ability and willingness to work on short deadlines; Strong organizational skills with a problem-solving attitude;

Strong listening and storytelling skills.

o Enthusiasm for working in a high profile, fast-paced startup culture.

o Responsible and self-motivated; Strong analysis skills; Ability to learn new technologies; Ability to multitask and

prioritize between competing activities

o Expertise in MS office - Excel, Word & Power Point documents.

 Key Deliverables: Key Performance Indicators (KPIs) and Key Result Areas (KRAs) for the Market Research and

Competitive Intelligence Analyst. These KPIs and KRAs are designed to evaluate the performance and contribution of the Market Research and Competitive Intelligence Analyst in enterprise technologies and telecom markets. They focus on areas such as market share analysis, competitor analysis, customer insights, strategic recommendations, research accuracy, industry expertise, cross-functional collaboration, and process improvement.

o KPI: Market Share Analysis

 Measure and track changes in market share for our company and key competitors.

 Assess the impact of market share changes on business performance.

 Develop strategies to improve or maintain market share in target markets.

o KPI: Competitor Analysis

 Monitor and analyze competitor activities, including product launches, marketing campaigns, and

pricing strategies.

 Provide regular updates on competitor strengths, weaknesses, and market positioning.

 Identify opportunities and threats in the competitive landscape and propose counterstrategies.

o KPI: Customer Insights

 Gather customer feedback and conduct surveys to understand customer preferences, needs, and

satisfaction levels.

 Translate customer insights into actionable recommendations for product development, marketing,

and customer service improvements.

 Track customer satisfaction scores and measure the impact of initiatives on customer loyalty and

retention.

o KPI: Strategic Recommendations

 Provide timely and valuable strategic recommendations based on market research and competitive

intelligence.

 Evaluate the potential impact of strategic initiatives on business performance and market positioning.

 Monitor the implementation of strategic recommendations and measure their effectiveness.

o KPI: Research Accuracy and Timeliness

 Ensure accuracy and reliability of research data and information.

 Adhere to research methodologies, data collection processes, and quality standards.

 Deliver research reports and insights within defined timelines to support decision-making processes.

o KPI: Industry Knowledge and Expertise

 Stay updated with industry trends, emerging technologies, and regulatory changes in enterprise.

technologies and telecom markets.

 Participate in industry events, webinars, and conferences to expand knowledge and network with

industry professionals.

 Share industry insights and best practices with the team and contribute to thought leadership

activities.

o KRA: Cross-functional Collaboration

 Collaborate with product management, sales, and marketing teams to align market research findings.

with business strategies.

 Provide support and guidance for product development, marketing campaigns, and sales initiatives

based on market insights.

 Foster a culture of knowledge sharing and collaboration across departments.

o KRA: Process Improvement

 Identify opportunities to streamline and improve market research and competitive intelligence.

processes.

 Implement best practices, tools, and technologies to enhance efficiency and effectiveness.

 Measure the impact of process improvements on the quality and timeliness of deliverables.

Education: Any graduate, with digital certifications (a must)

Job Requirements:

• Proven working experience as a business development manager, sales executive or a relevant role

• Proven sales track record

• Experience in customer support is a plus

• Proficiency in MS Office

• Proficiency in English

• Market knowledge

• Communication and negotiation skills

• Ability to build rapport

• Time management and planning skills

• BSc/BA in business administration, sales or relevant field

Job Responsibilities:

• Develop a growth strategy focused both on financial gain and customer satisfaction

• Manage complete client and internal operations

• Conduct research to identify new markets and customer needs

• Arrange business meetings with prospective clients

• Promote the company’s products/services addressing or predicting clients’ objectives

• Prepare sales contracts ensuring adherence to law-established rules and guidelines

• Keep records of sales, revenue, invoices etc.

• Provide trustworthy feedback and after-sales support

• Build long-term relationships with new and existing customers

• Develop entry level staff into valuable salespeople

Hiring Java Architects/ Tech Leads with expertise in Microservices, and Spring Framework. Experience of 8-10 yrs.

Notice Period - immediate to 45 days joiners only

Location - Bangalore and Chennai

Job description

We are looking for a Node.js Developer responsible for managing the interchange of data between the server and the users. Your primary focus will be the development of all server-side logic, definition and maintenance of the central database, and ensuring high performance and responsiveness to requests from the front-end. You will also be responsible for integrating the front-end elements built by your co-workers into the application.

Responsibilities:

Have the passion and experience for building responsive, elegant and engaging experiences with future friendly web technologies

Integration of user-facing elements developed by front-end developers with server side logic

Writing reusable, testable, and efficient code with proper documentation

Design and implementation of low-latency, high-availability, and performance applications

Implementation of security and data protection

Integration of data storage solutions

Continually keep yourself and your design team updated with the latest changes in your industry’s standards

Requirements

1+ years Experience

Strong proficiency with JavaScript

Knowledge of Node.js, Express.js and other frameworks required to create a scalable and effective application

Understanding the nature of asynchronous programming and its quirks and workarounds

Good understanding of basics of SQL and/or NoSQL databases

Very strong understanding of working with at least one SQL or NoSQL database in node js(Without ORM preferably)

Understanding of commonly used node modules

Good understanding of server-side templating languages

Good understanding of server-side CSS pre-processors such as SASS, LESS, etc.

Basic understanding of front-end technologies, such as HTML5, and CSS3

Understanding accessibility and security compliance

User authentication and authorization between multiple systems, servers, and environments using OpenID, OAuth2.0, etc.

Creating secure and scalable APIs using standards like REST API, GraphQL, etc.

Integration of multiple data sources and databases into one system

Understanding fundamental design principles behind a scalable application

Understanding differences between multiple delivery platforms, such as mobile vs. desktop, and optimising output to match the specific platform

Creating database schemes that represent and support business processes

Implementing automated testing platforms and unit tests

Proficient understanding of code versioning tools, such as GIT Critical thinker and problem-solving skills Team player Good time-management skills Great interpersonal and communication skills.