Telecom engineer

ROLES AND RESPONSIBILITIES:

• Plan, schedule, and manage all releases across product and customer projects.
• Define and maintain the release calendar, identifying dependencies and managing risks proactively.
• Partner with engineering, QA, DevOps, and product management to ensure release readiness.
• Create release documentation (notes, guides, videos) for both internal stakeholders and customers.
• Run a release review process with product leads before publishing.
• Publish releases and updates to the company website release section.
• Drive communication of release details to internal teams and customers in a clear, concise way.
• Manage post-release validation and rollback procedures when required.
• Continuously improve release management through automation, tooling, and process refinement.

IDEAL CANDIDATE:

• 3+ years of experience in Release Management, DevOps, or related roles.
• Strong knowledge of CI/CD pipelines, source control (Git), and build/deployment practices.
• Experience creating release documentation and customer-facing content (videos, notes, FAQs).
• Excellent communication and stakeholder management skills; able to translate technical changes into business impact.
• Familiarity with SaaS, iPaaS, or enterprise software environments is a strong plus.

PERKS, BENEFITS AND WORK CULTURE:

• Competitive salary package.
• Opportunity to learn from and work with senior leadership & founders.
• Build solutions for large enterprises that move from concept to real-world impact.
• Exceptional career growth pathways in a highly innovative and rapidly scaling environment.

Role Overview

We are looking for a highly skilled and intellectually curious Senior Data Scientist with 7+ years of experience in applying advanced machine learning and AI techniques to solve complex business problems. The ideal candidate will have deep expertise in Classical Machine Learning, Deep Learning, Natural Language Processing (NLP), and Generative AI (GenAI), along with strong hands-on coding skills and a proven track record of delivering impactful data science solutions. This role requires a blend of technical excellence, business acumen, and collaborative mindset.

Key Responsibilities

• Design, develop, and deploy ML models using classical algorithms (e.g., regression, decision trees, ensemble methods) and deep learning architectures (CNNs, RNNs, Transformers).
• Build NLP solutions for tasks such as text classification, entity recognition, summarization, and conversational AI.
• Develop and fine-tune GenAI models for use cases like content generation, code synthesis, and personalization.
• Architect and implement Retrieval-Augmented Generation (RAG) systems for enhanced contextual AI applications.
• Collaborate with data engineers to build scalable data pipelines and feature stores.
• Perform advanced feature engineering and selection to improve model accuracy and robustness.
• Work with large-scale structured and unstructured datasets using distributed computing frameworks.
• Translate business problems into data science solutions and communicate findings to stakeholders.
• Present insights and recommendations through compelling storytelling and visualization.
• Mentor junior data scientists and contribute to internal knowledge sharing and innovation.

Required Qualifications

• 7+ years of experience in data science, machine learning, and AI.
• Strong academic background in Computer Science, Statistics, Mathematics, or related field (Master’s or PhD preferred).
• Proficiency in Python, SQL, and ML libraries (scikit-learn, TensorFlow, PyTorch, Hugging Face).
• Experience with NLP and GenAI tools (e.g., Azure AI Foundry, Azure AI studio, GPT, LLaMA, LangChain).
• Hands-on experience with Retrieval-Augmented Generation (RAG) systems and vector databases.
• Familiarity with cloud platforms (Azure preferred, AWS/GCP acceptable) and MLOps tools (MLflow, Airflow, Kubeflow).
• Solid understanding of data structures, algorithms, and software engineering principles.
• Experience with Aure, Azure Copilot Studio, Azure Cognitive Services
• Experience with Azure AI Foundry would be a strong added advantage

Preferred Skills

• Exposure to LLM fine-tuning, prompt engineering, and GenAI safety frameworks.
• Experience in domains such as finance, healthcare, retail, or enterprise SaaS.
• Contributions to open-source projects, publications, or patents in AI/ML.

Soft Skills

• Strong analytical and problem-solving skills.
• Excellent communication and stakeholder engagement abilities.
• Ability to work independently and collaboratively in cross-functional teams.
• Passion for continuous learning and innovation.

LLM Engineer 

3-6 Years

Bengaluru/Mumbai/Remote

WHO WE ARE: 

TIFIN is a fintech platform backed by industry leaders including JP Morgan, Morningstar, Broadridge, Hamilton Lane, Franklin Templeton, Motive Partners and a who’s who of the financial service industry. We are creating engaging wealth experiences to better financial lives through AI and investment intelligence-powered personalization. We are working to change the world of wealth in ways that personalization has changed the world of movies, music and more but with the added responsibility of delivering better wealth outcomes. 

We use design and behavioral thinking to enable engaging experiences through software and application programming interfaces (APIs). We use investment science and intelligence to build algorithmic engines inside the software and APIs to enable better investor outcomes. In a world where every individual is unique, we match them to financial advice and investments with a recognition of their distinct needs and goals across our investment marketplace and our advice and planning divisions. 

OUR VALUES: Go with your GUT 

● Grow at the Edge. We are driven by personal growth. We get out of our comfort zone and keep egos aside to find our genius zones. With self-awareness and integrity we strive to be the best we can possibly be. No excuses. 

●Understanding through Listening and Speaking the Truth. We value transparency. We communicate with radical candor, authenticity and precision to create a shared understanding. We challenge, but once a decision is made, commit fully. 

●I Win for Teamwin. We believe in staying within our genius zones to succeed and we take full ownership of our work. We inspire each other with our energy and attitude. We fly in formation to win together.

Key responsibilities: 

• Work closely with the design and product teams to help craft conversational experiences for our users 
• Ability to work independently to deliver features that the team design 
• You need to own outcomes without someone watching over you 
• Understand the data we have and identify how we could leverage it to create more personalised experiences for our users 
• Fine tune models with data specific to our use case 
• Use different RAG approaches to augment data that the LLM already has ● Ability to be a leader and independent contributor (we’re a startup so be ready to do whatever it takes) 
• Setup new workflow, systems and tool from the ground up (you will have support, but we’re building things from scratch)
• 
  

Requirements: 

• 3+ years of experience
• Experience working with LLMs and Generative AI 
• Experience building conversational bots 
• Experience fine tuning models 
• Experience using RAG base approaches 

Understanding of financial concepts and investing would be a big plus but not required

Responsibilities:

• Writing and maintaining the automation for deployments across various cloud (AWS/Azure/GCP)
• Bring a passion to stay on top of DevOps trends, experiment, and learn new CI/CD technologies.
• Creating the Architecture Diagrams and documentation for various pieces
• Build tools and automation to improve the system's observability, availability, reliability, performance/latency, monitoring, emergency response

Requirements:

• 3 - 5 years of professional experience as a DevOps / System Engineer.
• Strong knowledge in Systems Administration & troubleshooting skills with Linux.
• Experience with CI/CD best practices and tooling, preferably Jenkins, Circle CI.
• Hands-on experience with Cloud platforms such as AWS/Azure/GCP or private cloud environments.
• Experience and understanding of modern container orchestration, Well-versed with the containerised applications (Docker, Docker-compose, Docker-swarm, Kubernetes).
• Experience in Infrastructure as code development using Terraform.
• Basic Networking knowledge VLAN, Subnet, VPC, Webserver like Nginx, Apache.
• Experience in handling different SQL and NoSQL databases (PostgreSQL, MySQL, Mongo).
• Experience with GIT Version Control Software.
• Proficiency in any programming or scripting language such as Shell Script, Python, Golang.
• Strong interpersonal and communication skills; ability to work in a team environment.

• AWS / Kubernetes Certifications: AWS Certified Solutions Architect / CKA.
• Setup and management of a Kubernetes cluster, including writing Docker files.
• Experience working in and advocating for agile environments.
• Knowledge in Microservice architecture.

What you need to have:

We are looking for an experienced and creative UI/UX Designer to join our team! As an UI-UX Designer , you will be responsible for delivering the best online user experience, which makes your role extremely important for our success and ensuring customer satisfaction and loyalty. You will be designing ideas using various methods and latest technology.

You will be designing graphic user interface elements, like menus, tabs, forms, and widgets.

SKILLS:

Must have:

“Proven work experience as a UX/VD Designer or similar role”

1) Portfolio of design projects

2) Up-to-date knowledge of design software like Adobe Illustrator, Photoshop, XD, Adobe Premier, Sketch, Invision

and After Effects.

3) Team spirit and strong communication skills to collaborate with various stakeholders.

4) Good time-management skills

5) Hands-on experience in leading a design team.

6) Communicates company goals, safety practices, and deadlines to team.

ROLES AND RESPONSIBILITES:

1) Gather and evaluate user requirements in collaboration with product managers and engineers

2) Illustrate design ideas using storyboards, process flows and sitemaps

3) Design graphic user interface elements, like menus, tabs and widgets

4) Build page navigation buttons and search fields

5) Develop UI mockups and prototypes that clearly illustrate how sites function and look like

6) Prepare and present rough drafts to internal teams and key stakeholders

7) Identify and troubleshoot UX problems (e.g. responsiveness)

8) Should be quick and be able to handle pressure situations.

9) Good Knowledge over HTML,CSS.

10) Motivate team members and assesses performance.

We're looking for a QA Engineer to help with manual testing as well as introduce automation to our processes where possible. Candidates will need to be familiar with and able to write scripts, set up automation processes, and familiarise themselves with the products we build (web and mobile apps).

• The role will also require you to document test cases with an understanding of what the product does and how the end-user might approach it.
• Understand functional and non-functional testing requirements of web and mobile applications.
• Document functional testing scenarios and cases, for manual testing of API functionality using Postman and manual testing of User Interface elements (web, mobile, and mobile web)
• Identify or create data for testing
• Execute test cases and record status
• Log defects identified and track them through retesting and closure
• Debug using ADB commands and tools like Charles Proxy to primarily identify the root cause of failures.

Skill:

• Good understanding of mobile and web applications functionality
• Good understanding of how APIs work functionally
• Strong knowledge of software QA methodologies, tools, and processes
• Experience in writing clear, concise, and comprehensive test plans and test cases
• Hands-on experience with both white box and black box testing
• Non-functional testing of mobile applications including but not limited to battery analysis, GPU overdraw, responsiveness, etc.