Business Development Executive

Designation: Campus Admin Officer

Department: Admin

Location: Mahape, Navi Mumbai

Experience Required: Min 1.5 – 2 years

Employment Type: Full-Time

Working Days & Timings

·     It is a 6-day working week.

Office timings:

·     Admin role: 8:00 AM to 6:00 PM

Job Summary

We are looking for a reliable and hands-on Campus Admin Officer to manage and maintain the

Electrical, Telecom & IT systems of our 120-employee office in Mahape, Navi Mumbai. The role

involves end-to-end responsibility for identifying and fixing electrical faults, desktops, printers,

intercom systems, LAN connections, and WiFi networks to ensure smooth daily operations with

minimal downtime.

Key Responsibilities

1. Electrical System Maintenance

 Diagnose and resolve electrical faults promptly to minimize downtime.

 Identifying and resolving issues with electrical appliances, office lights, fans, etc.

 Troubleshooting issues related to generators, UPS, power supply cabling, etc.

2. IT Systems Management

 Maintain desktops and laptops for employees.

 Maintain office LAN network and structured cabling.

 Coordinate with vendors for servicing, repairs, and consumables.

 Maintain inventory of IT peripherals and spare equipment.

3. Intercom & Communication Systems

 Maintain and troubleshoot internal intercom systems.

 Coordinate with service vendors for maintenance and repairs.

Required Qualifications & Skills

 1.5 -2 years of hands-on experience in maintaining Electrical & IT systems.

 Ability to communicate in English, Hindi or Marathi

 Basic knowledge of modems, routers, and switches.

 Good communication skills and ability to support non-technical users.

 Ability to work independently and manage day-to-day operations.

Roles:

-Working on the full stack development (Both Front-end and Back-end)

-Working on any one of the following technologies:

• Java Application Programming

• Web Development with PHP

• Python Application Programming with Django

• Machine Learning

• Data Science

• Artificial Intelligence

• Cyber Security

Eligibility: BCA/MCA 2026/2027 students can apply

Duration: 1-6 months

Perks:

Internship Experience Certificate

Letter of Recommendation

Mode of internship: Online/Offline

Responsibilities:

• Design multi-tier Elasticsearch architecture (hot/warm/cold/frozen) with ILM.
• Architect Active-Active/Passive HA and DR across production and disaster recovery data centers.
• Define and implement observability standards, data schemas, naming conventions, and ILM policies per domain.
• Develop and manage ingestion pipelines using Logstash, Beats, and Elastic Agent
• Parse and enrich structured/unstructured logs; implement scalable and fault-tolerant pipelines.
• Deploy and configure Elastic APM agents for Java/.NET/Python services
• Ensure end-to-end distributed tracing, span enrichment, and service dependency mapping
• Optimize trace sampling, error logging, and business transaction visibility
• Design end-to-end observability solution using Elastic stack: log analytics, metrics, traces, APM, and ML.
• Integrate machine learning for anomaly detection.
• Oversee implementation of distributed tracing and service mapping. Ensure that every critical banking transaction can be traced end-to-end.
• Drive adoption of observability standards (SLOs/SLIs, tagging, dashboards).

Key Responsibilities:

• Design, develop, and maintain responsive and visually appealing websites, focusing on user experience and functionality.
• Build high-converting landing pages tailored to various marketing campaigns and objectives.
• Implement and optimize contact forms for lead generation, ensuring seamless integration with email marketing systems.
• Set up and manage email marketing campaigns using platforms like Mailchimp, Constant Contact, or similar.
• Integrate analytics tools (e.g., Google Analytics, HubSpot) to track website performance and digital marketing metrics.
• Work closely with the marketing team to align website content and design with ongoing campaigns and business goals.
• Conduct A/B testing on landing pages and email marketing materials to improve conversion rates.
• Troubleshoot website issues, including speed optimization and mobile responsiveness.
• Keep up-to-date with industry trends, emerging technologies, and best practices in web development and digital marketing.

Required Skills and Experience:

• Proven experience as a Web Developer, with a portfolio demonstrating previous projects, especially landing pages and contact forms.
• Strong proficiency in HTML, CSS, JavaScript, and responsive web design frameworks like Bootstrap.
• Familiarity with content management systems (CMS), such as WordPress, Joomla, or Drupal.
• Experience with digital marketing tools, including email marketing platforms (Mailchimp, Active Campaign, etc.) and Google Analytics.
• Understanding of SEO principles and best practices.
• Knowledge of integrating third-party services (CRM, email marketing, lead capture tools, etc.) into websites.
• Excellent problem-solving skills, attention to detail, and the ability to work independently and as part of a team.

Responsibilities:

.Create exclusive distributors, exclusive super stockiest and business associates for the company towards business growth.

.Guide, coordinate and make strategic marketing plans for the sales team working under his jurisdiction.

.Finding and developing new markets and improving sales.

.Keep observing stock reports, inventory, product orders, re-order etc.

Requirements:

.Bachelor's degree in business, marketing or a related field.

.Experience in sales, marketing or related field.

.Strong communication skills.

.Proficient in Word, Excel, Outlook, and power point.

Job Summary

As a Data Science Lead, you will manage multiple consulting projects of varying complexity and ensure on-time and on-budget delivery for clients. You will lead a team of data scientists and collaborate across cross-functional groups, while contributing to new business development, supporting strategic business decisions and maintaining & strengthening client base

1. Work with team to define business requirements, come up with analytical solution and deliver the solution with specific focus on Big Picture to drive robustness of the solution
2. Work with teams of smart collaborators. Be responsible for their appraisals and career development.
3. Participate and lead executive presentations with client leadership stakeholders.
4. Be part of an inclusive and open environment. A culture where making mistakes and learning from them is part of life
5. See how your work contributes to building an organization and be able to drive Org level initiatives that will challenge and grow your capabilities.

​​​​​​Role & Responsibilities

1. Serve as expert in Data Science, build framework to develop Production level DS/AI models.
2. Apply AI research and ML models to accelerate business innovation and solve impactful business problems for our clients.
3. Lead multiple teams across clients ensuring quality and timely outcomes on all projects.
4. Lead and manage the onsite-offshore relation, at the same time adding value to the client.
5. Partner with business and technical stakeholders to translate challenging business problems into state-of-the-art data science solutions.
6. Build a winning team focused on client success. Help team members build lasting career in data science and create a constant learning/development environment.
7. Present results, insights, and recommendations to senior management with an emphasis on the business impact.
8. Build engaging rapport with client leadership through relevant conversations and genuine business recommendations that impact the growth and profitability of the organization.
9. Lead or contribute to org level initiatives to build the Tredence of tomorrow.

Qualification & Experience

1. Bachelor's /Master's /PhD degree in a quantitative field (CS, Machine learning, Mathematics, Statistics, Data Science) or equivalent experience.
2. 6-10+ years of experience in data science, building hands-on ML models
3. Expertise in ML – Regression, Classification, Clustering, Time Series Modeling, Graph Network, Recommender System, Bayesian modeling, Deep learning, Computer Vision, NLP/NLU, Reinforcement learning, Federated Learning, Meta Learning.
4. Proficient in some or all of the following techniques: Linear & Logistic Regression, Decision Trees, Random Forests, K-Nearest Neighbors, Support Vector Machines ANOVA , Principal Component Analysis, Gradient Boosted Trees, ANN, CNN, RNN, Transformers.
5. Knowledge of programming languages SQL, Python/ R, Spark.
6. Expertise in ML frameworks and libraries (TensorFlow, Keras, PyTorch).
7. Experience with cloud computing services (AWS, GCP or Azure)
8. Expert in Statistical Modelling & Algorithms E.g. Hypothesis testing, Sample size estimation, A/B testing
9. Knowledge in Mathematical programming – Linear Programming, Mixed Integer Programming etc , Stochastic Modelling – Markov chains, Monte Carlo, Stochastic Simulation, Queuing Models.
10. Experience with Optimization Solvers (Gurobi, Cplex) and Algebraic programming Languages(PulP)
11. Knowledge in GPU code optimization, Spark MLlib Optimization.
12. Familiarity to deploy and monitor ML models in production, delivering data products to end-users.
13. Experience with ML CI/CD pipelines.

Desired Candidate Profile

• BA/ BSc degree or relevant experience (e.g. Logistics industry or Apparel Industry)
• 3-5+ years of experience as Logistics CSS Manager
• A focus on execution, problem-solving, improving processes and brand enhancement
• High curiosity
• Openness to considering new perspectives