Telecom Analyst

Job Role: Optimization Engineer - C Programming

Experience: 3 to 8 Years

Location: Bangalore, Pune, Delhi

Were hiring an Optimization Engineer skilled in C Programming and Operations Research / Optimization to design and optimize algorithms solving complex business and engineering problems.

Key Responsibilities:

• Develop and maintain high-performance software using C.
• Build and implement optimization models (linear, integer, nonlinear).
• Collaborate with teams to deliver scalable, efficient solutions.
• Analyze and improve existing algorithms for performance and scalability.

Must-Have Skills:

• Expertise in C Programming and Operations Research / Optimization.
• Strong in data structures, algorithms, and memory management.
• Hands-on with tools like CPLEX, Gurobi, or COIN-OR.
• Python experience is an added advantage.

Preferred Skills:

• Knowledge of Python, C++, or Java.
• Familiarity with AMPL, GAMS, or solver APIs.
• Understanding of HPC, parallel computing, or multi-threading.

-Developing Concepts and Ideas

-Oversee the Multimedia Productions

-Aligning Creative Departments and Stakeholders with their ideas.

-Understanding Client needs & Planning accordingly.

-Create and enforce design & branding guidelines.

-Manage Budgets & project resources.

Job Description:

1.Be a hands on problem solver with consultative approach, who can apply Machine Learning & Deep Learning algorithms to solve business challenges

a. Use the knowledge of wide variety of AI/ML techniques and algorithms to find what combinations of these techniques can best solve the problem

b. Improve Model accuracy to deliver greater business impact

c.Estimate business impact due to deployment of model

2.Work with the domain/customer teams to understand business context , data dictionaries and apply relevant Deep Learning solution for the given business challenge

3.Working with tools and scripts for sufficiently pre-processing the data & feature engineering for model development – Python / R / SQL / Cloud data pipelines

4.Design , develop & deploy Deep learning models using Tensorflow / Pytorch 

5.Experience in using Deep learning models with text, speech, image and video data

a.Design & Develop NLP models for Text Classification, Custom Entity Recognition, Relationship extraction, Text Summarization, Topic Modeling, Reasoning over Knowledge Graphs, Semantic Search using NLP tools like Spacy and opensource Tensorflow, Pytorch, etc

b.Design and develop Image recognition & video analysis models using Deep learning algorithms and open source tools like OpenCV

c.Knowledge of State of the art Deep learning algorithms

6.Optimize and tune Deep Learnings model for best possible accuracy

7.Use visualization tools/modules to be able to explore and analyze outcomes & for Model validation eg: using Power BI / Tableau

8.Work with application teams, in deploying models on cloud as a service or on-prem

a.Deployment of models in Test / Control framework for tracking

b.Build CI/CD pipelines for ML model deployment

9.Integrating AI&ML models with other applications using REST APIs and other connector technologies

10.Constantly upskill and update with the latest techniques and best practices. Write white papers and create demonstrable assets to summarize the AIML work and its impact.

· Technology/Subject Matter Expertise

• Sufficient expertise in machine learning, mathematical and statistical sciences
• Use of versioning & Collaborative tools like Git / Github
• Good understanding of landscape of AI solutions – cloud, GPU based compute, data security and privacy, API gateways, microservices based architecture, big data ingestion, storage and processing, CUDA Programming
• Develop prototype level ideas into a solution that can scale to industrial grade strength
• Ability to quantify & estimate the impact of ML models.

· Softskills Profile

• Curiosity to think in fresh and unique ways with the intent of breaking new ground.
• Must have the ability to share, explain and “sell” their thoughts, processes, ideas and opinions, even outside their own span of control
• Ability to think ahead, and anticipate the needs for solving the problem will be important

·        Ability to communicate key messages effectively, and articulate strong opinions in large forums

· Desirable Experience:

• Keen contributor to open source communities, and communities like Kaggle
• Ability to process Huge amount of Data using Pyspark/Hadoop
• Development & Application of Reinforcement Learning
• Knowledge of Optimization/Genetic Algorithms
• Operationalizing Deep learning model for a customer and understanding nuances of scaling such models in real scenarios
• Optimize and tune deep learning model for best possible accuracy
• Understanding of stream data processing, RPA, edge computing, AR/VR etc
• Appreciation of digital ethics, data privacy will be important
• Experience of working with AI & Cognitive services platforms like Azure ML, IBM Watson, AWS Sagemaker, Google Cloud will all be a big plus
• Experience in platforms like Data robot, Cognitive scale, H2O.AI etc will all be a big plus

You will be working hands-on on a complex and compound product that has the potential to be used by millions of sales and marketing people around the world. Your contribution to delivering an excellent product platform that:

• enables quick iteration
• supports product customization
• and handles scale

What do we expect you to have?

• 2+ years of experience in backend engineering
• An intent to learn and an urge to build a product by learning different technologies
• Interest in writing complex, scalable, and maintainable backend applications
• Tech stack requirements:

Must haves

• Experience in building application server in Java (Spring / Spring boot) / NodeJS / Golang / Python
• Experience in using SQL databases and designing schemas based on application need
• Experience with container services and runtimes (docker / docker-compose / k8s)
• Experience with cloud paas (AWS / GCP / Azure cloud)
• Experience and familiarity with microservices’ concepts
• Experience with bash scripting

Good to have (Preferred)

• Preferred experience with org wide message queue (rabbitmq / aws sqs)
• Preferred experience with task orchestration services (apache airflow / aws step function)
• Preferred experience with infra as code (or system configuration) tools (terraform / chef / ansible)
• Preferred experience with build essential tools (make / makefile)
• Preferred experience with monitoring and tracing systems for performance / system / application monitoring (grafana + loki + prometheus / aws cloudwatch)

What will you learn?

• Building highly available, complex, compound, performant systems of microservices platform that acts as an API layer
• Industry-standard state-of-the-art tools + methodologies + frameworks + infra for building a product.
• Fable is not a trivial CRUD app. It requires a lot of consideration and care for building the API layer as the product is highly customizable per user.
• How different functions (sales, marketing, product, engineering) in a high-velocity product company work in synergy to deliver an iterative product in real life.

Who would you be working with?

• You would be directly working with the co-founder & CTO who has built multiple companies before and has built large teams in large-scale companies like ThoughtSpot, Unacademy, etc.

Position details

• Fully remote.
• 5 days/week (all public and government holidays will be non-working days).
• No specific work hours (we will sync over zoom over the course of the day).

Application Integration Engineer -

Key Skills:

·        Knowledge of various Integrations approaches:

o  Native connectors

o  API – schema, design

o  ODBC

o  SFTP files

·        Experience integrating SaaS solutions.

o  Financial applications:

§ Ideally: Oracle NetSuite, Workday Adaptive

§ Nice to have: Coupa, Concur, Expensify, Avalara

o  CRM applications:

§ Ideally: Microsoft Dynamics

§ Nice to have: Salesforce, Hubspot Sales, various sales tools

·        Experience with key Microsoft Azure services: mainly data extraction (i.e., Data Factory), databases (SQL), storage (Data Lake), analytics 

·        Ability to work with data, including ETL

·        Nice to have - Knowledge of coding languages: Java script, XML, REST, etc.

·        Experience working with global teams

·        Ability to overlap some work hours with US EST/CT time

·        Solid communication skills

·        Proactive, takes initiative, outspoken

Experience

·        6 - 9 years

Experience with warehouse operations and knowledge of how a SaaS in inventory/ material management creates an organized data and reduce cost. 

2+ years’ experience with enterprise SaaS environments in a Sales and Pre-Sales capacity.

Knowledge of supply chain planning systems—TMS, WMS, inventory management, fulfilment, etc.

Proven ability to demonstrate products, methods, or services to prospective or current customers.

Ability to assess a company’s supply chain needs and creatively provide solutions to address those needs with the company’s offering.

A consultative approach to sales pursuits

Experience in giving presentations to customers in a sales environment at all levels up to and including C-level with a convincing approach.

Excellent writing skills (Statement of work, proposals, documentation, presentations)

Excellent verbal skills (explanation of solutions, meetings, presentations, training)

Self-starter with excellent written and verbal communication skills.

Any Degree qualified.

Hello to the Amazing Devs out there,

We're ToastApp. We're on a mission to revamp the Dine-In experience for the customers as well as for the restaurants.

We're growing rapidly and this search for a new techie is to enable us and push for exponential growth. This is where you come in. You're a proactive, sharp and self-motivated individual who is eager to learn and take ownership across our applications. You love communicating and working with others in your team towards success, taking us from where we are now to where we want to be!

Our ideal candidate has:

Strong knowledge of Python (3+ years)

Experience with Redis and queues (Celery/Dramatiq)

Strong knowledge of MongoDB and PSQL DBs

Experience with modern APIs based on REST (Flask, FastAPI)

Fluent English and excellent communication skills

Passion for writing clean code and tests

Nice to have:

Experience creating products for developers, data engineers and/or data consumers

Experience with ElasticSearch

Hands-on approach and is proactive

A keen eye for detail, striving for perfection

Our tech stack:

Python, Flask

Redis

RabbitMQ

Mongo, MySQL

Github

On a typical day, you will:

Uphold our high engineering standards and bring consistency to our product development

Create and develop new functionalities as well as maintain existing ones

Write clean and scalable code

Write code-reviews

Learn best practices from other team members

Benefits:

Our team is based out of Hyderabad. We believe the best work happens when given lots of uninterrupted time that's free of distractions.

8L - 28L Based on experience

ESOPs

22 days holidays

Performance-based Quarterly Bonus