INFOPARK

Executive Assistant Trainee

About the Role

We are seeking a highly motivated and detail-oriented Executive Assistant Trainee to support senior leadership in managing day-to-day business operations, coordination, and communication. This role offers an excellent opportunity for MBA graduates to gain exposure to executive management, strategic planning, stakeholder coordination, and business operations.

Key Responsibilities

• Assist senior executives in managing calendars, appointments, meetings, and travel arrangements.
• Prepare meeting agendas, presentations, reports, and minutes of meetings.
• Track action items and follow up with internal teams to ensure timely completion.
• Coordinate with internal departments and external stakeholders on behalf of leadership.
• Manage correspondence, emails, and communication requests professionally.
• Facilitate smooth information flow between executives and various business functions.
• Support project tracking, business reviews, and operational initiatives.
• Prepare business reports, MIS, dashboards, and presentations for management reviews.
• Maintain confidential records, documents, and executive files.
• Assist in leadership meetings, and strategic discussions.
• Collect, analyze, and summarize business data for decision-making.
• Develop presentations and reports using Excel, PowerPoint, and other business tools.
• Monitor project timelines and provide status updates to management.
• Support implementation of new processes, systems, and business initiatives.

Required Qualifications

• MBA (2024, 2025, or 2026 batch) from a recognized institution.
• Strong academic background and eagerness to learn.

Human Resource Executive- Junior

Key Responsibilities

o Manage end-to-end recruitment process (sourcing to offer rollout)
o Coordinate interviews with hiring managers
o Conduct onboarding and induction for new hires
o Maintain employee files and documentation
o Maintain attendance and leave records
o Prepare payroll inputs (attendance, leave, reimbursements, deductions)
o Handle confirmations, appraisals, promotions, transfers
o Manage exit formalities, relieving documentation
o Address employee queries and grievances
o Implement HR policies and ensure adherence
o Support initiatives for employee engagement and workplace culture
o Support performance management and review cycles
o Ensure office cleanliness, maintenance, and safety
o Coordinate with housekeeping, security, and facility vendors
o Manage office seating, assets, and workspace readiness
o Maintain vendor contracts (internet, pantry, housekeeping, AMC, etc.)
o Track office assets, laptops, access cards, stationery
o Handle procurement of office supplies
o Coordinate travel bookings and guest arrangements
o Manage courier, dispatch, and documentation
o Maintain office licenses, rental agreements, insurance, and renewals
o Ensure fire safety, first aid, and emergency readiness


Key Skills & Competencies:
• 2 years of experience in HR roles
• Ability to multitask and work independently
• Strong interpersonal and organizational skills

Note:
Preference will be given to candidates available for immediate joining

Job Type: On-site

Technical Support Executive

Key Responsibilities

Provide technical support to clients and internal teams regarding products and services.
Handle and manage tender-related activities, including documentation, submission, and follow-ups.
Coordinate with various departments to gather required technical and commercial information for tenders.
Assist in preparing technical proposals, reports, and documentation.
Troubleshoot technical issues and provide timely resolutions.
Maintain records of client interactions, issues, and resolutions.
Ensure timely updates and compliance with project and tender requirements.

Requirements / Qualifications

Bachelor’s degree in Engineering (any relevant discipline).
1–3 years of experience in technical support or a related role (freshers with strong skills may also apply).
Experience in handling or supporting tender processes is preferred.
Strong verbal and written communication skills in Hindi and English.
Good understanding of technical documentation and problem-solving skills.
Ability to work independently and manage multiple tasks efficiently.

HR & Admin Manager

As an HR and Admin, you will play a pivotal role in the organization’s human resources functions, contributing to the development and implementation of HR strategies and policies. Your primary responsibilities will include collaborating with departmental managers to understand staffing needs, conducting recruitment processes, and managing employee onboarding. You will actively participate in fostering a positive workplace culture through employee engagement initiatives, performance management, and resolving HR-related issues.

Responsibilities:
• Design and implement company policies that promote a healthy work environment.
• Ensure a fair recruitment plan and oversee new hiring, interviews, and orientations.
• Facilitating the Onboarding process for new hires.
• Conducting induction programs to provide information about the company, its policies, and procedures.
• Maintaining accurate and up-to-date HR records.
• Handling employee queries and promoting a positive and productive workplace culture.
• Negotiating salary and other compensation terms and extending an offer of employment
• Ensure HR procedures comply with labor laws and regulations.
• Handling Administration activities.
• Process monthly payroll
• Actively involved in the employee performance review
• Participates in the evaluation and monitoring of training programs to ensure success.
• Organize learning and development programs

Requirements:
• Experience in IT Recruitment is a must.
• Minimum 7-10 years of relevant work experience in the IT industry.
• Minimum 5 years of recent experience in an IT company.
• Knowledge and familiarity with labor laws.
• Outstanding communication skills in English.
• Excellent organizational skills and attention to detail
• Ability to acquire a thorough understanding of the organization’s hierarchy, jobs, qualifications, and compensation practices.

How to apply: Send your resume to career@tranzmeo.com

Technical Project Manager (Senior )

Tranzmeo is hiring a Technical Project Manager (Senior) with 10+ years of experience to lead cross-functional engineering programs for its AI + fibre-optic sensing products. This role combines deep technical leadership (candidate must have strong hands-on development experience earlier in their career, preferably with Python and front-end technologies), program management, and domain coordination across product, hardware, cloud, and field operations teams. The right candidate will translate product vision into delivery plans, remove technical blockers, and drive high-quality releases that operate in industrial, mission-critical environments.

Location: Kochi (Infopark) — with periodic travel to field sites and to US office (Houston) as required.
Employment type: Full-time, senior individual contributor / people-lead depending on candidate profile.

Key responsibilities

1. Program leadership & delivery
* Own end-to-end delivery of one or more product modules (e.g., T-Connect OneView features, STS enhancements, uptime monitoring).
* Create and maintain product roadmaps, release plans, milestones, risk logs and cross-team dependency maps.
* Run agile ceremonies, sprint planning, PI planning and retrospectives; ensure predictable cadence.
2. Technical leadership & hands-on involvement
* Leverage your prior development experience (Python + front-end) to review architecture, contribute to design discussions, and make tradeoffs.
* Work with ML/data teams to operationalize models (data pipelines, feature stores, inference latency, model monitoring).
* Coordinate hardware integration efforts (DAS/DTS devices, edge compute).
3. Stakeholder & customer management
* Act as primary technical contact for enterprise customers (oil & gas, utilities), translating customer requirements to engineering backlog.
* Prepare and present technical status and risk updates to senior leadership and customers.
4. Quality, reliability & field readiness
* Define and enforce non-functional requirements: uptime, observability, incident response, and on-field diagnostics.
5. People & process
* Mentor engineering teams, run technical interviews, and help grow the engineering team.
* Improve development processes for faster, safer releases in a hardware-coupled product environment.

Required (must-have) qualifications

* Experience: 10+ years total professional experience, with 5+ years in technical/project leadership roles (program/engineering manager, tech lead, etc.).
* Early development background: Strong hands-on development experience earlier in career — Python required, plus proven front-end experience (React/Angular/TypeScript or similar). You should be comfortable jumping into development discussions.
* Education: B.Tech / B.E. in Computer Science, Information Technology, or equivalent (strict requirement).
* Domain familiarity: Experience with AI/ML product delivery, data engineering, or industrial IoT is strongly preferred
* Systems understanding: Experience with distributed systems, real-time processing, and integrating cloud + edge components (AWS/GCP/Azure).
* Delivery skills: Proven Agile / Scrum delivery track record and ability to run complex cross-functional programs.
* Communication: Excellent verbal and written communication; experience liaising with senior stakeholders and customers.

AI & ML Engineer (Senior)

Location : Kochi / Infopark Phase II Campus

Experience & Educational Requirements

* Minimum of 7 years relevant experience in AI/ML engineering, data science or related roles (industry or product‑engineering).
* Bachelor’s or Master’s degree in Computer Science, Information Technology or similar.
* Strong preference: B.Tech/M.Tech in CSE/IT or equivalent and good depth in data structures, algorithms, mathematics for ML.
* Demonstrable track record of building and deploying ML models in production (for at least 3–5 years within the 7+).
* Experience in product‑oriented work (versus purely research) is advantageous.

Key Responsibilities

* Lead the design, development, implementation and optimization of machine learning, deep learning and anomaly‑detection models to power Tranzmeo’s flagship product (e.g., “T‑Connect OneView”) and other AI solutions for industrial/IoT infrastructure.
* Work end‑to‑end: Data ingestion, cleaning, feature engineering, model training, evaluation, deployment (edge/cloud/hybrid) and monitoring.
* Collaborate with hardware/edge teams (e.g., fiber‑optic sensing, DAS/DTS data streams) to integrate signal / sensor data pipelines, enabling real‑time/near‑real‑time anomaly detection.
* Build scalable architectures for AI/ML workflows – covering large volumes of streaming data, distributed processing, possibly edge‑computing constraints.
* Mentor junior ML/data engineers, review code, design best practices, enforce engineering discipline (unit‑testable code, model versioning, reproducibility).
* Engage with cross‑functional stakeholders (product management, domain experts in oil & gas/infrastructure, field engineering) to translate business or operational problems into ML solutions, and iterate model outcomes.
* Keep abreast of latest developments in ML/AI (especially anomaly detection, streaming analytics, sensor‑signal processing, edge ML) and bring actionable innovation into the company’s tech stack.
* Contribute to technical architecture decisions, choosing frameworks/libraries/tools (e.g., Python ecosystem, TensorFlow/PyTorch, streaming frameworks, cloud/edge deployment).
* Measure model performance in production, define KPIs for detection/false‑alarm rates, maintain model drift tracking, identify when to retrain/refine.
* Document designs, maintain clear version control, ensure reproducibility of experiments, and manage model lifecycle.
* Assist in patenting, IP documentation or presenting internal/external publications/workshops (given the company’s deep‑tech orientation).
Required Technical Skills
* Excellent proficiency in Python (including libraries such as NumPy, Pandas, Scikit‑Learn, etc.).
* Strong programming skills: algorithmic thinking, data structures, software engineering fundamentals, version control (Git), code reviews.
* Deep experience in ML/AI: supervised, unsupervised, anomaly detection, time‑series, streaming data, deep learning (CNNs, RNNs/LSTM, transformers if applicable).
* Experience with sensor data, large scale data ingestion/processing pipelines, streaming analytics (e.g., Kafka, Spark Streaming, Flink) is a plus.
* Knowledge of deployment of ML models: either cloud (AWS, Azure, GCP) or edge/hybrid, model serving frameworks, monitoring tools.
* Familiarity with IoT/industrial data domains (e.g., pipelines, remote sensing, fiber‑optic sensors) is highly desirable – domain knowledge will accelerate impact.
* Strong mathematics/statistics background: probability, linear algebra, optimization, hypothesis testing, performance metrics ROC/AUC etc.
* Ability to write clean, maintainable engineering code (not just notebooks) and collaborate with software / embedded teams.
* Good communication skills for liaising with non‑ML stakeholders, explaining model outcomes, presenting results.

Desired Additional Skills / Attributes

* Experience with anomaly detection frameworks and techniques specific to industrial systems, remote sensing, intrusion detection.
* Experience with big data technologies (Hadoop/Spark, NoSQL, time‑series databases) and large scale datasets (millions of records)
* Familiarity with edge computing constraints: model size, latency, hardware sensors, embedded systems.
* Intellectual curiosity, startup mindset: able to work in a growing, somewhat lean organisation, comfortable with ambiguity, taking initiative. This aligns well with Tranzmeo’s culture (“entrepreneurial outlook”, “independent thinking”)
* Leadership / mentoring ability: able to guide junior engineers, elevate team’s capability.
* Strong problem‑solver: able to pick up domain knowledge rapidly (oil & gas/infrastructure), translate business problem into ML pipeline.
* Good documentation, reproducibility mindset, focus on production readiness (not just prototyping).
* Willingness to travel or work with field data, deploy models in industrial settings if needed.

Junior Software Engineer Intern- AI ML

Key Responsibilities
• Assist in the development and implementation of AI and Machine Learning models.
• Support data preprocessing, feature engineering, model training, and evaluation activities.
• Collaborate with senior engineers and data scientists to build intelligent solutions.
• Participate in model optimization and performance improvement initiatives.
• Collect, clean, and analyze structured and unstructured datasets.
• Support exploratory data analysis (EDA) and data visualization tasks.
• Generate insights and reports to support business and technical decisions.
• Work with large datasets and contribute to predictive analytics projects.
• Assist in managing AI/ML infrastructure and development environments.
• Support cloud-based and on-premise infrastructure activities.
• Monitor system performance and troubleshoot infrastructure-related issues.
• Participate in maintaining scalable and reliable environments for AI applications.
• Support deployment of machine learning models into testing and production environments.
• Assist in CI/CD pipeline implementation and automation activities.
• Monitor deployed applications and model performance.
• Contribute to version control, documentation, and deployment best practices.
• Develop and maintain software components supporting AI and ML applications.
• Write clean, maintainable, and efficient code following coding standards.
• Participate in code reviews, testing, debugging, and performance optimization.
• Collaborate with cross-functional teams to deliver high-quality solutions.
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Required Qualifications
• B.Tech / B.E. in Computer Science, Information Technology, Artificial Intelligence, Data Science & MSc Data Science.
• Strong interest in AI, Machine Learning, Data Science, and Software Engineering.
• Basic understanding of software development principles and programming concepts.

HR Internship

HR INTERNSHIP

We are looking for young, smart, and energetic HR Interns to join our team. If you’re interested in starting your career in HR, this is the right choice for you.
Responsibilities
1. Handling end-to-end recruitment: Sourcing, Staffing, and Onboarding candidates.
2. Screening: Shortlisting candidates sourced through various job portals and validating them on their experience and interest in the role.
3. Shortlist the profiles sourced and send them to the respective hiring managers.
4. Coordinate with HR in day-to-day activities.
5. Assisting in administration activities.
6. Draft and update documents, forms, policies, and other HR-related documents.

Skill Set
1. Excellent written and verbal communication skills.
2. Ability to work independently with accuracy and timeliness.
3. Excellent interpersonal skills.
4. Knowledge of HR functions.
5. Proficient in Word, Excel, PowerPoint, and a basic understanding of email etiquette.
6. Good understanding of full-cycle recruiting.
7. Excellent organizational and planning skills.
8. Strong ethics, reliability & cultural awareness.
Note: This will be a 3-month full-time Internship program and the candidate will get Internship certification after successful completion of the program.

Education
MBA (2025, 2026 Passouts)