Sales & Marketing Manager

Job Description: Senior ASP.NET Developer (Blazor & Angular)

Position: Senior ASP.NET Developer / Tech Lead

Experience: 4–6 Years

Location: Onsite/Remote/Hybrid

Employment Type: Full-time

About the Role

We are looking for a highly skilled ASP.NET Developer with expertise in Blazor and Angular who can independently handle projects, lead teams, and confidently communicate with US-based clients. The ideal candidate should possess a strong mix of technical and non-technical skills, including project management and team leadership.

Key Responsibilities

•  Design, develop, and maintain applications using ASP.NET Core, Blazor, Angular, and C#.
•  Handle end-to-end project development individually when required.
•  Collaborate directly with US-based clients, gather requirements, and ensure timely delivery.
•  Manage and mentor a team of developers, ensuring code quality and adherence to best practices.
•  Take ownership of project management activities including planning, task allocation, progress tracking, and risk management.
•  Ensure applications are scalable, secure, and high-performing.
•  Conduct code reviews, testing, and deployment.
•  Prepare project documentation and status reports for stakeholders.
•  Actively suggest improvements in process, technology, and team collaboration.

Required Technical Skills

•  Strong experience (4–6 years) in ASP.NET Core, Blazor, Angular, C#, and .NET Framework.
•  Proficiency in SQL Server, Entity Framework, LINQ.
•  Knowledge of RESTful APIs, Web Services, JSON, XML.
•  Strong front-end skills with HTML, CSS, JavaScript, TypeScript.
•  Familiarity with Git / Azure DevOps / TFS for version control.
•  Experience in deploying applications on Azure / AWS (preferred).

Non-Technical / Soft Skills

• Excellent communication skills to interact with international (US) clients.
• Confident personality with the ability to present ideas clearly.
• Proven project management and leadership skills.
• Ability to work independently and handle multiple projects.
• Strong team management and mentoring abilities.
• Good problem-solving and analytical thinking.

Nice to Have

•  Exposure to Agile / Scrum methodologies.
•  Experience in client onboarding and business requirement analysis.
•  Knowledge of other modern front-end frameworks is a plus.

You can directly contact us on nine three one six one two zero one three two

Role: Data Scientist

Location: Bangalore (Remote)

Experience: 4 - 15 years

Skills Required - Radiology, visual images, text, classical model, LLM multi model, Primarily Generative AI, Prompt Engineering, Large Language Models, Speech & Text Domain AI, Python coding, AI Skills, Real world evidence, Healthcare domain

JOB DESCRIPTION

We are seeking an experienced Data Scientist with a proven track record in Machine Learning, Deep Learning, and a demonstrated focus on Large Language Models (LLMs) to join our cutting-edge Data Science team. You will play a pivotal role in developing and deploying innovative AI solutions that drive real-world impact to patients and healthcare providers.

Responsibilities

• LLM Development and Fine-tuning: fine-tune, customize, and adapt large language models (e.g., GPT, Llama2, Mistral, etc.) for specific business applications and NLP tasks such as text classification, named entity recognition, sentiment analysis, summarization, and question answering. Experience in other transformer-based NLP models such as BERT, etc. will be an added advantage.

• Data Engineering: collaborate with data engineers to develop efficient data pipelines, ensuring the quality and integrity of large-scale text datasets used for LLM training and fine-tuning

• Experimentation and Evaluation: develop rigorous experimentation frameworks to evaluate model performance, identify areas for improvement, and inform model selection. Experience in LLM testing frameworks such as TruLens will be an added advantage.

• Production Deployment: work closely with MLOps and Data Engineering teams to integrate models into scalable production systems.

• Predictive Model Design and Implementation: leverage machine learning/deep learning and LLM methods to design, build, and deploy predictive models in oncology (e.g., survival models)

• Cross-functional Collaboration: partner with product managers, domain experts, and stakeholders to understand business needs and drive the successful implementation of data science solutions

• Knowledge Sharing: mentor junior team members and stay up to date with the latest advancements in machine learning and LLMs

Qualifications Required

• Doctoral or master’s degree in computer science, Data Science, Artificial Intelligence, or related field

• 5+ years of hands-on experience in designing, implementing, and deploying machine learning and deep learning models

• 12+ months of in-depth experience working with LLMs. Proficiency in Python and NLP-focused libraries (e.g., spaCy, NLTK, Transformers, TensorFlow/PyTorch).

• Experience working with cloud-based platforms (AWS, GCP, Azure)

Additional Skills

• Excellent problem-solving and analytical abilities

• Strong communication skills, both written and verbal

• Ability to thrive in a collaborative and fast-paced environment

About us

At Reltio®, we believe data should fuel business success. Reltio’s AI-powered data unification and management capabilities—encompassing entity resolution, multi-domain master data management (MDM), and data products—transform siloed data from disparate sources into unified, trusted, and interoperable data. Reltio Data Cloud™ delivers interoperable data where and when it's needed, empowering data and analytics leaders with unparalleled business responsiveness. Leading enterprise brands—across multiple industries around the globe—rely on our award-winning data unification and cloud-native MDM capabilities to improve efficiency, manage risk and drive growth.

About the Role

We are seeking a Senior Backend Engineer with a strong foundation in Java, solid Python capabilities, and hands-on experience building or supporting Agentic AI applications that integrate with Large Language Models (LLMs). This role blends traditional backend engineering expertise with next-generation AI integration, requiring not just system design skills, but also creativity in prompt engineering and working with data-rich environments.

You will contribute to the design and implementation of intelligent backend services that coordinate LLMs, agents, and data workflows to support enterprise-grade automation and decision-making systems.

Key Responsibilities

• Develop robust, scalable Java-based backend systems that enable the orchestration of Agentic AI workflows.
• Integrate LLMs (e.g., OpenAI, Mistral, Claude, LLaMA) into backend pipelines to power autonomous or semi-autonomous decision-making.
• Work closely with AI/ML teams to design agent architectures and LLM toolchains (using frameworks like LangGraph, Crew AI, AutoGen, etc.).
• Implement services and APIs that manage prompt chaining, tool invocation, and contextual memory for agents.
• Collaborate with data engineers to ensure clean, efficient, and real-time access to structured and semi-structured data.
• Apply prompt engineering best practices to improve agent behavior, task accuracy, and adaptability.
• Monitor and optimize service performance, reliability, and scalability in production environments.
• Contribute to code reviews, mentoring, and best practices for hybrid backend/AI development.

Required Qualifications

• 4+ years of experience in backend engineering, with strong proficiency in Java for scalable, distributed systems.
• Practical knowledge of Python, particularly for scripting, API consumption, or integration with AI frameworks.
• Exposure to Agentic AI systems using tools such as LangGraph, Crew AI, AutoGen, or similar.
• Experience integrating or orchestrating LLMs within business workflows or intelligent assistants.
• Solid understanding of prompt engineering techniques (e.g., system messages, chaining, tool invocation prompts).
• Familiarity with data engineering concepts, including pipelines, data models, and ETL workflows.
• Strong grasp of object-oriented design, data structures, and algorithms.

Preferred Qualifications

• Experience with LLM orchestration frameworks (e.g., LangChain, LlamaIndex, RAG pipelines).
• Background in building microservices or backend systems for data-rich AI/ML platforms.
• Experience with vector databases, embedding services, or semantic search integration.
• Knowledge of cloud platforms (AWS, GCP, or Azure), containerization (Docker), and DevOps best practices.
• Prior involvement in developing LLM-powered agents, copilots, or task bots is a strong plus.

What We Offer

• Opportunity to work on cutting-edge backend and AI systems, including agentic automation and LLM innovation.
• A flexible hybrid work model in our Bangalore office.
• Competitive compensation with performance-based rewards.
• A culture that promotes engineering excellence, experimentation, and growth.
• Access to learning platforms, technical workshops, and industry-leading AI research.

Why Join Reltio?

• Support for home office setup:Home office setup allowance.
• Stay Connected, Work Flexibly: Mobile & Internet Reimbursement
• No need to pack a lunch—we’ve got you covered with a free meal

Health & Wellness:

• Comprehensive Group medical insurance including your parents with additional top-up options.Accidental Insurance
• Life insurance
• Free online unlimited doctor consultations
• An Employee Assistance Program (EAP)

Work-Life Balance

• 36 annual leaves, which includes Sick leaves – 18, Earned Leaves - 18
• 26 weeks of maternity leave, 15 days of paternity leave
• Very unique to Reltio - 01 week of additional off as recharge week every year globally

Role Description

This is a full-time on-site role for an Inside Sales Specialist located in Pune. The Inside Sales Specialist will be responsible for lead generation, client satisfaction, effective communication, and providing exceptional client service. Day-to-day tasks include prospecting and qualifying leads, building relationships with client & Vendors, identifying their needs, and promoting Rawmart's products and services.

Qualifications

• Experienced in inside sales and lead generation
• Cold calling
• Strong communication and interpersonal skills
• Excellent client service skills
• Ability to effectively manage time and prioritize tasks
• Experience in the trading sector is a plus
• Bachelor's degree.

Company: Barcadly Services (www.barcadlyservices.com)

Team Lead Intern

Location: Kolhapur , Maharashtra

Job Type: Internship

Duration: [6 months]

About Us:

Barcadly Services is a full fledge "Digital Marketing Agency" Our head office is in Mumbai & Kolhapur, the company was established in the year 2018.

We strongly supports and follows the mission of Digital India laid down by Prime Minister Shri. Narendra Modi and provides cost-effective branding solutions for start-ups & big companies in India. At Barcadly services, you will get an insight regarding what is it like to work with a pioneering Digital Marketing Agency in India.

After all, you will only seldom find someone as efficient as we are, when it comes to offering personalized performance marketing.

Thanks to our tight-knit team we have been able to assist over 170 + businesses and establishing themselves in the digital arena."

Key Responsibilities:

·      Lead and manage a team of interns or junior team members on various tasks and projects.

·      Organize team meetings and ensure clear communication across team members.

·      Help establish and track project goals, timelines, and deliverables.

·      Provide support, guidance, and feedback to ensure the team meets deadlines and maintains high standards of quality.

·      Collaborate with senior leaders and team members to align project goals with company objectives.

·      Motivate and inspire the team to achieve individual and collective goals.

·      Help resolve conflicts and maintain a positive and productive work environment.

·      Assist in evaluating team members' performance and offering constructive feedback.

·      Ensure all team members have the resources and support they need to succeed.

·      Contribute to the development and implementation of processes to improve team efficiency.

Qualifications:

·      Current student or recent graduate in Business, Management, Communications, or a related field.

·      Previous experience in a leadership or supervisory role (academic projects, student organizations, or prior internships are acceptable).

·      Strong organizational and time-management skills.

·      Excellent communication skills, both written and verbal.

·      Ability to work independently and collaboratively in a fast-paced environment.

·      Problem-solving mindset with the ability to make decisions and manage team dynamics.

·      A proactive and positive attitude with a focus on team success.

·      Strong interest in developing leadership skills and experience in a professional setting.

·      Preferred Skills (Optional):

·      Experience with project management tools (e.g., Trello, Asana, Monday.com) is a plus.

·      Familiarity with team collaboration platforms (e.g., Slack, Microsoft Teams) is a plus.

·      Previous internship or experience in team management is a plus.

Benefits:

·      Develop valuable leadership and team management skills.

·      Gain hands-on experience managing real-world projects and coordinating a team.

·      Opportunity to work directly with senior management and learn from experienced professionals.

·      Mentorship and professional development opportunities.

·      Exposure to cross-functional work and project management tools.

Role Overview:

We are seeking a highly skilled and motivated Data Scientist to join our growing team. The ideal candidate will be responsible for developing and deploying machine learning models from scratch to production level, focusing on building robust data-driven products. You will work closely with software engineers, product managers, and other stakeholders to ensure our AI-driven solutions meet the needs of our users and align with the company's strategic goals.

Key Responsibilities:

• Develop, implement, and optimize machine learning models and algorithms to support product development.
• Work on the end-to-end lifecycle of data science projects, including data collection, preprocessing, model training, evaluation, and deployment.
• Collaborate with cross-functional teams to define data requirements and product taxonomy.
• Design and build scalable data pipelines and systems to support real-time data processing and analysis.
• Ensure the accuracy and quality of data used for modeling and analytics.
• Monitor and evaluate the performance of deployed models, making necessary adjustments to maintain optimal results.
• Implement best practices for data governance, privacy, and security.
• Document processes, methodologies, and technical solutions to maintain transparency and reproducibility.

Qualifications:

• Bachelor's or Master's degree in Data Science, Computer Science, Engineering, or a related field.
• 5+ years of experience in data science, machine learning, or a related field, with a track record of developing and deploying products from scratch to production.
• Strong programming skills in Python and experience with data analysis and machine learning libraries (e.g., Pandas, NumPy, TensorFlow, PyTorch).
• Experience with cloud platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker).
• Proficiency in building and optimizing data pipelines, ETL processes, and data storage solutions.
• Hands-on experience with data visualization tools and techniques.
• Strong understanding of statistics, data analysis, and machine learning concepts.
• Excellent problem-solving skills and attention to detail.
• Ability to work collaboratively in a fast-paced, dynamic environment.

Preferred Qualifications:

• Knowledge of microservices architecture and RESTful APIs.
• Familiarity with Agile development methodologies.
• Experience in building taxonomy for data products.
• Strong communication skills and the ability to explain complex technical concepts to non-technical stakeholders.

What you’ll be doing:

LiteStore is seeking a dynamic and driven Management Trainee to join our passionate team. This role offers a unique opportunity to work closely with the company's founders, contributing to the strategic initiatives that drive LiteStore's growth and success. As a Management Intern, you will gain invaluable insights into the world of innovative retail, D2C brands, digital-to-physical brand transitions, and building strategic initiatives.

Responsibilities:

1. Collaborate directly with LiteStore's Strategic Initiatives Team to support their day-to-day activities and strategic priorities.
2. Conduct in-depth research and analysis on market trends, competitor landscape, and potential growth opportunities to inform decision-making.
3. Assist in preparing and refining presentations, reports, and documentation for internal and external stakeholders.
4. Participate in brainstorming sessions, idea generation, and strategic planning discussions.
5. Help coordinate and manage special projects, events, and initiatives that align with LiteStore's vision and goals.
6. Liaise with cross-functional teams, including Projects, Operations, Finance and Business Development, to drive efficient and effective execution of key projects.
7. Provide administrative support, including calendar management, scheduling meetings, and handling communication on behalf of the Team.
8. Maintain confidentiality and professionalism while handling sensitive information and high-level interactions.

Qualifications:

• Currently pursuing a Bachelor's or Master's degree in Engineering, Business Administration, Entrepreneurship, Marketing, or a related field.
• Strong passion for entrepreneurship, retail innovation, and the startup ecosystem.
• Excellent research, analytical, and problem-solving skills.
• Exceptional written and verbal communication abilities.
• Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint).
• Highly organized with a keen eye for detail and the ability to manage multiple tasks simultaneously.
• Self-motivated, proactive, and able to work independently as well as collaboratively in a fast-paced environment.
• Professional demeanor, strong interpersonal skills, and the ability to interact with individuals at all levels.
• Prior internship experience in a startup, entrepreneurship, or business-related role is a plus.

Seamedu - School of Pro Expressionism is a full fledge media school based in Pune, founded in 2008 to produce world class talent in Media & Entertainment (M & E) fields of Digital Film making, Animation, Game Design, Visual Effects, Sound Design, Broadcast Media, and Broadcast Journalism. Seamedu is the type of institute that nurtures the creativity of the students. Seamedu has been awarded by the Government of Maharashtra in IT & IT related Fields-Multi - media/ Entertainment/ Gaming. Seamedu also has campuses in Bangalore, Mumbai & Chandigarh. To know more about us, please visit – www.seamedu.com

Job Description:

Achieve admission targets

• Handling fresh enquiries (making phone calls & walk-ins)
• Follow up calls to the prospective students
• Update CRM
• Follow admission process
• Submit daily activity report to immediate superior.

Plan and execute marketing activities

• Provide presales input in terms of collecting target audience database, managing mailers/e-mailers campaign etc.
• Analysis of earlier marketing data to support fresh marketing plans
• Monitor lead generation and quality on weekly basis

Student Relations

Attendance Management

Student Relations & Grievances Handling

• Students data updation & maintenance
• Ensure to solve student queries (other than technical / functional)
• Help & support students wherever required and students grooming
• Parents interaction and coordination

Support Placement Actvities

Specific Skill Set :

• Target oriented and focused
• Good communicator (both oral and written) in English and coordination skills
• Well versed with all tools of MS office
• Self-motivated, initiator and results-oriented
• Should demonstrate positive attitude, high motivation and interpersonal skills

Experience Required: 1 to 5 years

Minimum Education Requirements: Graduate in any stream with relevant experience

Work Timings : 9:30 am to 6:30 pm

Languages : English, Hindi

As a Product Manager on ColorTokens microservice/container/serverless security platform you will be tasked with defining the next set of compelling features that will drive the creation of a compelling Zero Trust Platform which will leapfrog the competition in its security efficacy, ease of use and comprehensiveness. we plan to solve using ColorTokens ZeroTrust Platforms by providing application centric iew of containerized environments and building policy enforcement around applications, services and containers for the security administrator.

• Desired Skills
  • 5-10 years of direct work experience as a product manager working for providing security for cloud, containers/microservices and serverless architectures.
  • Knowledge of SaaS product delivery
• You will need to understand critical customer requirements and prioritize the creation of value added features within the platform:
• Create crisp understandable requirements starting with product requirement documents and user stories that can be worked on with engineering
• Provide thought leadership for engineering to delivery on these features and guide though the development process
• Train sales on new features developed and provide both how to sell and technical vision
• Understand how to measure, track, and optimize a SaaS security offering managing hundreds of thousands of customers and endpoints
• Constantly interact with customers to present and socialize product functionality and roadmap
• Collect and report metrics and identify trends, issues, or other important information to upper management at regular intervals to show the state of the business
• Engaging directly in a scaled agile development process with CICD pipeline
• Working with Product Marketing to help message product features in an understandable manner

Preferred Skills

• Bachelor's degree in CS or similar, MBA degree preferred
• Excellent written, and verbal communication skills
• Former experience as a software engineer or sales engineering is highly desirable
• Experience in Information Security/Cyber Security
• Comfortable in presentations in front of audiences of all sizes and backgrounds
• Ability to influence people at all levels across a broad variety of job functions
• Excellent organizational skills to juggle many tasks without losing sight of key strategic goals

We look forward to hearing from you and joining us in this exciting journey.