Field Sales

At Trezix, we’re redefining the world of import/export with smart technology and seamless SaaS solutions. As we continue to scale, we’re looking for a seasoned Executive Assistant to work closely with our Founders’ Office and play a pivotal role in keeping things running smoothly behind the scenes.

This role is perfect for someone who thrives in fast-paced environments, loves bringing structure to chaos, and is passionate about enabling leaders to focus on high-impact work.

🔹 Experience: 8–15 years

🔹Location: Andheri, Mumbai (in-office)

🔹Qualification: Bachelor’s in business/Admin/Management or related field

🎯 Key Responsibilities:

Own calendar, travel, and communication management for founders

Be the go-to for internal coordination and external stakeholder management

Support project execution and cross-functional initiatives

Ensure documentation, reports, and meeting prep are always one step ahead

Maintain utmost confidentiality and professionalism

👤 You Are:

Highly organized, proactive, and detail-obsessed

Experienced in supporting CXOs or founders

Comfortable in dynamic startup environments

A strong communicator and trusted relationship builder

Quick on your feet and always a step ahead

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.

Data engineers:

Designing and building optimized data pipelines using cutting-edge technologies in a cloud environment to drive analytical insights.This would also include develop and maintain scalable data pipelines and builds out new API integrations to support continuing increases in data volume and complexity

Constructing infrastructure for efficient ETL processes from various sources and storage systems.

Collaborating closely with Product Managers and Business Managers to design technical solutions aligned with business requirements.

Leading the implementation of algorithms and prototypes to transform raw data into useful information.

Architecting, designing, and maintaining database pipeline architectures, ensuring readiness for AI/ML transformations.

Creating innovative data validation methods and data analysis tools.

Ensuring compliance with data governance and security policies.

Interpreting data trends and patterns to establish operational alerts.

Developing analytical tools, utilities, and reporting mechanisms.

Conducting complex data analysis and presenting results effectively.

Preparing data for prescriptive and predictive modeling.

Continuously exploring opportunities to enhance data quality and reliability.

Applying strong programming and problem-solving skills to develop scalable solutions.

Writes unit/integration tests, contributes towards documentation work

Must have ....

6 to 8 years of hands-on experience designing, building, deploying, testing, maintaining, monitoring, and owning scalable, resilient, and distributed data pipelines.

High proficiency in Scala/Java/ Python API frameworks/ Swagger and Spark for applied large-scale data processing.

Expertise with big data technologies, API development (Flask,,including Spark, Data Lake, Delta Lake, and Hive.

Solid understanding of batch and streaming data processing techniques.

Proficient knowledge of the Data Lifecycle Management process, including data collection, access, use, storage, transfer, and deletion.

Expert-level ability to write complex, optimized SQL queries across extensive data volumes.

Experience with RDBMS and OLAP databases like MySQL, Redshift.

Familiarity with Agile methodologies.

Obsession for service observability, instrumentation, monitoring, and alerting.

Knowledge or experience in architectural best practices for building data pipelines.

Good to Have:

Passion for testing strategy, problem-solving, and continuous learning.

Willingness to acquire new skills and knowledge.

Possess a product/engineering mindset to drive impactful data solutions.

Experience working in distributed environments with teams scattered geographically.

Responsibilities

Develop high quality, secure, stable code for use in products and solutions for

customers, making it easier for other developers to maintain, enhance, reuse,

and localize

Work with Product Owner and/or Product Manager/Team to understand and help

refine functional requirements for new products

Develop and outline architecture and relationships between subsystems and

participates in review of those designs

Investigate and, if necessary, prototype technologies and algorithms relating to

the task

Break down a large problem into smaller components and provide a clear

solution for each piece

Ensure new code, feature or software product meets performance goals/metrics

Research external best practices and emerging technologies for possible

incorporation into company products and methodologies

Write and maintain the code following Test-Driven-Design principles

Minimum Qualifications

Bachelor’s degree in any Engineering discipline from reputed engineering

college

5 to 7 years of strong programming skills in Web and Cloud Technologies

Should have a very strong foundation in JavaScript, and must have a clear

understanding of basic web fundamentals such as prototype based inheritance,

scopes, Event Loop, Memory Management in JS, etc

Should be good at developing modular front-end applications and is expected to

have the knowledge to create good abstractions that can be reused . Should also

have in-depth understanding of latest ES6 standards such as spread operators,

arrow functions, etc

Should have strong programming skills in Web and Cloud Technologies

Should be strong in OOAD Concepts

Should have a strong hands-on in React, Typescript

Should have Hands-on experience in any of the backend language.

Should understand latest paradigms in Front End Development such as Pub-Sub

Pattern, Redux, RxJS, Service Workers, Client Caching, Lazy Loading, Dynamic

Injection, Bundle Optimisation, etc

Should have very good hands-on knowledge of CSS3 & HTML5

Should have good knowledge of Postman API Platform

Should have experience with Amazon web services – ECS, Lambda, S3, SQS, etc

Should have Hands-on experience of developing RESTful web services and

integrating the same with heterogeneous clients

Should have Hands-on experience with Relational or NoSQL Database’s

Should have a very clear understanding of TDD is expected and should have

good exposure to writing UT's and designing UI components with testability in

mind

Should have Strong Communication and Analytical skills

Flexibility under changing conditions and the ability to multi-task between

projects

Preferred Qualifications

Hands-on experience with C++

Nice to have experience with Python

Nice to have experience with CI/CD tools like Docker, Jenkins, etc

Nice to have a hands-on & Understanding of CSS Pre-processors such as SASS,

LESS, etc

• Work on inhouse projects on our award-winning Data Security Platform in Enterprise Environments
• Ensuring that the customer expectations are met within the committed timeframes.
• Only Freshers and Immediate Joiners

IT sales /Enterprise

Ability to effectively handle Enterprise sales & Assisting the Business Team. Understand Tech Products Gather Leads and build a sales pipeline Business Development in IT Consulting, Proposal making, client handling. Requirement Analysis. Prepare BRD

Good knowledge of online bidding on portals Freelancer, Upwork. Good working knowledge of SRS and other documentation. excellent communications & writing skills, how to work on wire-frames
Female Candidates get preferrable

Experience: 1 to 3 years

• Insurance P&C and Specialty domain experience a plus
• Experience in a cloud-based architecture preferred, such as Databricks, Azure Data Lake, Azure Data Factory, etc.
• Strong understanding of ETL fundamentals and solutions. Should be proficient in writing advanced / complex SQL, expertise in performance tuning and optimization of SQL queries required.
• Strong experience in Python/PySpark and Spark SQL
• Experience in troubleshooting data issues, analyzing end to end data pipelines, and working with various teams in resolving issues and solving complex problems.
• Strong experience developing Spark applications using PySpark and SQL for data extraction, transformation, and aggregation from multiple formats for analyzing & transforming the data to uncover insights and actionable intelligence for internal and external use