11+ Pydev Jobs in India

Roles & Responsibilities

We’re looking for an Engineering Manager who treats engineering management as a systems problem, not a career milestone.

You’ll lead engineers while staying close to the technical core—owning architecture, modeling decisions, and execution quality in a domain where correctness matters as much as velocity.

Technical & Product Ownership

• Build and evolve core platform features
• Design and ship APIs, services, and integrations that power billing automation, usage metering, invoicing, revenue recognition, and financial reporting.
• Model complex financial workflows
• Work deeply on pricing logic, proration, true-ups, multi-currency handling, approval workflows, and event-driven billing pipelines—where small decisions have long-term consequences.
• Make architectural trade-offs
• Balance “ship it now” against “live with it forever” while scaling systems that process high-volume usage data and real-time financial calculations.
• Stay technically fluent
• You won’t write code every day, but you’ll review PRs, catch subtle bugs, and guide design discussions with confidence.

Team Leadership & Management

• Lead and grow the engineering team
• Mentor and manage engineers across experience levels, setting clear expectations and raising the bar on ownership, execution, and quality.
• Create high-output systems
• Establish clear problem definitions, focused execution cycles, code reviews that actually catch issues, and enough slack for engineers to think—not just ship.
• Debug team dynamics like software
• Observe signals, form hypotheses, intervene deliberately, and measure outcomes—whether the issue is delivery, alignment, or collaboration.
• Build the team intentionally
• Design interviews that surface real problem-solving ability, not just pattern matching. At this stage, every hire shifts the average.

Cross-Functional Collaboration

• Work closely with Product, Finance, and Customer Success to translate real-world contract terms into correct, scalable systems
• Partner with stakeholders to solve ambiguous problems where requirements evolve and trade-offs are unavoidable
• Ensure systems remain accurate, auditable, and compliant as the product scales

Ideal Candidate

1Strong Engineering Manager / Lead Profiles

2Mandatory (Experience 1) – Must have minimum 8+ years of overall Software Engineering / Development experience with a strong IC foundation.

3Mandatory (Experience 2) – Must have 2+ years of formal Engineering Manager experience with direct people-management responsibility (informal Senior Engineer / Tech Lead experience managing a team does not count)

4Mandatory (Experience 3) – Must have directly managed 4–6+ engineers, including 1:1s, performance management, growth plans, promotions, mentoring, and team development.

5Mandatory (Experience 4) – Must own technical direction and delivery for an engineering team/pod, including architecture, system design, code/PR reviews, execution planning, and engineering quality.

6Mandatory (Experience 5) – Must have strong backend/software engineering experience with hands-on technical depth in building APIs, services, integrations, and scalable systems; specific language/framework can vary.

7Mandatory (Experience 6) – Must have experience owning production operations, including on-call, incident management, debugging, and postmortems for their area.

8Mandatory (Experience 7) – Must have experience driving cross-functional alignment with Product and Design and translating ambiguous business/product requirements into scalable technical solutions.

9Mandatory (Company) – Must be from a Product Company / Startup, particularly B2B SaaS, Fintech, Payments, or similar technology product environments. (Refer Target Company List)

10Mandatory (Role Fit) – Role is 80% people/team management and 20% technical/IC involvement;

11Preferred (Education) - Tier 1 engineering college

Data - AI / ML Engineer 

Full-Time   |   On-site, Kolkata   |   Immediate Joining   |   4+ years experience

ABOUT US 

Company Name: Freeflow ventures

We are a venture building and investment firm focused on emerging markets across India, the Middle East, and Africa. We work with early-stage startups -diagnosing gaps, structuring interventions, and preparing them for investor-readiness through a proprietary data and intelligence platform.

Our platform combines automated data verification, startup scoring, and structured workflow automation to bring consistency and credibility to early-stage investment decisions. We are at an active build and expansion phase, and this role sits at the core of that infrastructure.

ROLE OVERVIEW

We are looking for a Data - AI / ML Engineer who can own both the data pipelines that bring verified information into our platform and the intelligence models that turn that information into reliable startup scores.

This is a dual-responsibility role. You will be expected to build and maintain robust data infrastructure as well as develop, calibrate, and improve machine learning models. Both are equally important to the platform.

You will work closely with the Platform Owner and alongside a Backend Engineer who owns system integrations and workflow logic. Your work produces the scored intelligence output. The Backend Engineer's work connects that output to platform actions. The two roles are tightly interdependent and require close daily collaboration, especially in the first 30 days.

Note: You are the first technical hire on the platform team. The Backend Engineer joins the same week. Clear communication, well-defined handoff points, and shared documentation between the two of you are non-negotiable from Day 1.

WHAT YOU WILL DO

Data Pipeline

• Build and maintain pipelines that collect, clean, and normalize data from multiple external sources into a consistent, usable format
• Design connector architecture that allows individual data sources to be added, swapped, or removed without rebuilding the entire pipeline
• Implement automated data quality checks that catch bad data before it reaches the scoring layer -anomaly detection, constraint enforcement, and schema validation
• Build an automated eligibility screening system that verifies whether a startup has sufficient verified data before assessment begins
• Ensure the pipeline is resilient -critical data signals must have backup sources so a single vendor failure does not disrupt platform output
• Structure data storage to support different regulatory requirements across multiple countries -data from different regions must be handled according to the rules of that region

AI and Machine Learning

• Audit the existing scoring engine before making any changes -understand what it does, how it was built, and what would be lost if it were modified
• Calibrate scoring models against real portfolio data so that scores are meaningful, consistent, and comparable across different startup types and stages
• Build confidence scoring logic that determines when the system is certain enough to act autonomously and when it should route to human review
• Ensure every model output is explainable -investors must be able to see exactly which data points drove a score, not just the final number
• Build a feedback loop so that real-world outcomes feed back into the model over time, making it progressively more accurate
• Maintain a structured data store of assessment outputs and outcomes that the model uses to improve

Working With the Backend Engineer

• Define a clear data contract at the handoff point -what data you produce, in what format, and what the Backend Engineer can expect to receive
• Collaborate on trigger logic -what score thresholds or confidence drops should fire what system actions
• Align on data schema requirements so that the APIs the Backend Engineer builds conform to the structure your pipeline produces
• Communicate blockers early -the pipeline and backend system are built simultaneously, so delays on one side directly affect the other
• Document everything you build so the Backend Engineer and Platform Owner can understand, debug, and extend it without depending on you for every question

WHAT WE ARE LOOKING FOR

Skills are divided into two categories. Must Have means the role cannot function without it. Good to Have means it gives you an edge.

Skill

Priority

Data Engineering

Building and maintaining data pipelines from multiple sources

Must Have

Data normalization and schema design

Must Have

Automated data quality validation

Must Have

API integration across different source types

Must Have

Pipeline orchestration and scheduling

Must Have

Cloud infrastructure -storage, compute, and deployment

Must Have

Version control and code documentation

Must Have

AI and Machine Learning

Building and calibrating supervised machine learning models

Must Have

Model explainability -making model outputs traceable and interpretable

Must Have

Confidence scoring and threshold calibration

Must Have

Experiment tracking and model versioning

Must Have

Building feedback loops that improve models over time using real-world outcomes

Must Have

Natural language processing or document understanding

Good to Have

Vector databases and semantic search

Good to Have

Collaboration and Context

Ability to define clear data contracts and handoff points with backend engineers

Must Have

Clear written documentation of pipeline logic, model decisions, and failure modes

Must Have

Prior experience working in or with early-stage startups

Good to Have

Exposure to financial data, investment platforms, or data verification systems

Good to Have

WHAT WE OFFER

• Competitive compensation based on experience -discussed during the interview process
• Ownership of both the data and intelligence layers from Day 1 -this is not a support or maintenance role
• Direct access to the Platform Owner and Founder 
• Close collaboration with a Backend Engineer from Day 1 -the two roles are designed to work as a unit
• Work on a genuinely novel problem in an emerging market context
• On-site Kolkata with a small, high-accountability team
• Opportunity to scale the platform across multiple international markets

COMPANY DESCRIPTION :

NNIIT is a pioneering Edtech start-up with the goal of empowering individuals in the digital

age. We are actively seeking talented individuals to join our dynamic team in Hyderabad. If

you meet the qualifications and are passionate about making an impact in the Ed-tech

sector, keep reading!

JOB DESCRIPTION :

Company: NNIIT (On-Roll)

Salary: upto 4lpa + Incentives

Job Location: Hyderabad (On site)

ROLES AND RESPONSIBILITIES :

 Source new sales opportunities through inbound lead follow-up and outbound

cold calls and emails.

 Calling to 250+ calls/day and maintain 3hrs of Talk-time thus booking 10

conductions for the week for each day

 Understand customer needs and requirements.

Route qualified opportunities to the appropriate sales executives for further

development and closure.

 Close sales and achieve quarterly quotas

 Research accounts, identify key players and generate interest.

 Maintain and expand your database of prospects within your assigned

territory Team with channel partners to build pipeline and close deals

 Perform effective online demos to prospects.

FAQs :

Salary Expectation: Minimum 20,000 INR with the potential to reach up to 74,000

INR based on skills, experience, and interview performance.

Eligibility Criteria: Graduates with 1 to 3 years of experience in Ed-tech K9 & K12

background are eligible to apply.

Specific Skills Required: Good sales skills, proficiency in English, and strong

communication abilities are essential.

Applicants: Both male and female candidates are welcome to apply.

ADDITIONAL INFORMATION :

Seniority Level: Mid-Senior level

Industry: E-Learning Providers

Employment Type: Full-time

Job Functions: Sales, Business Development

Company Description

Established in 2014, Facilius Inc. is a premier PR and media placement agency. It works directly with top tier media outlets such as Forbes, Entrepreneur, Variety, US Weekly and many more premiere news outlets. They operate on a unique model unlike any PR agency where they place their clients in top-tier media on a guaranteed basis.

What will you get

You will get an opportunity to create, manage and enhance relationships with some of the best journalists and media outlets across the globe. You will be working closely with a global team to learn how to work closely with the biggest media outlets, strike partnerships, and offer value in exchange. You will get 10 times the amount of exposure compared to any other PR agency.

Role Description

Public Relations Specialist / Media Partnerships and Alliances Specialist

We are seeking a skilled and dynamic Public Relations Specialist / Media Partnerships and Alliances Specialist to join our public relations team.

This is a full-time role with the flexibility of working from home. The candidate will work according to U.S. hours Eastern Time (i.e. 6 PM to 3 AM IST)

The candidate will be responsible for identifying and reaching out to contributors / journalists and media outlets working across the globe in news /online media outlets, developing and maintaining relationships with them and collaborating with them.

Key Responsibilities

– Cultivate and maintain strong relationships with journalists and global media outlets

– Strike partnerships that help the company contribute stories on global media outlets

– Find business opportunities with media outlets that can benefit our company

– Find opportunities where the company can directly contribute towards news stories

– Find opportunities to build and expand the online profiles of key personnel

Requirements

– Strong written and verbal communication skills

– Self-starter by nature

– Diligent, persistent with strong follow -ups

– Strong organizational skills

– Savvy with MS Office and social media platforms.

– 3 to 4 years of experience in a communications role (preferably in the public relations industry either in-house or with an agency)

Compensation

– Basic in-hand salary range is INR 4.4 to 4.8 LPA

– This is an extremely vital role to the company and hence there is tremendous scope for growth and increment in this role and team

Qualifications

• Experience in consistently reaching out to external parties.
• Experience in creating and maintaining external relationships and develop partnerships
• Experience in the public relations industry is preferred.
• Ambitious, self-motivated, target-driven, and ability to work independently.

Job Location

Candidate has the flexibility to work from home or any location of their choice.

Timings: 6.00 pm to 3.00 am IST

Industry: Public Relations, Internet, Online Media

Position: Sr. Developer / Lead Developer

Experience: 4 - 9 Years

Work Location: Remote - Work from anywhere / Technopark, Trivandrum

Qualification: B Tech / BE / BCA / MCA / BSC Computers

Skills: Odoo ERP , Python, Postgresql, MYSQL

Required Technical Competency & Qualifications

v In Depth understanding of Odoo ERP and all the default Odoo modules.

v Good Knowledge in ORM methods, Python and JavaScript.

v Strong Knowledge on API integration.

v Capable of working on Odoo framework on existing app and custom module.

v Enhance applications, develop and configure features and functionalities that support business requirements

v Good Knowledge in code repositories- Github.

v Should have good technical support skills.

v Good Analytical, Communication and interpersonal skills.

v Ability to work with a close bound team structure.

v Ability to work under minimal supervision.

v Should be able to work in client facing roles.

1. Good experience in react components, hooks and state.
2. Experiences in the implementation of responsive web layouts
3. Ability to discuss and explain design options.
4. Good experience with HTML5 & CSS3, Bootstrap Good understanding of JavaScript.
5. JavaScript libraries and CSS frameworks are preferred.

Essential Job Functions

• Provide technical leadership in getting new ideas into production efficiently
• Enhance tools and processes to improve product design/development
• Analyze business needs and conceive, design, and develop innovative solutions
• Whiteboard designs and mentor less experienced team members
• Keep an eye on quality engineering practices, implementation, and be the mentor and champion for your team
• Work closely with Software Developers / QA Engineers and the business to build outstanding products
• Develop a deep understanding of product functionality and how it relates to business goals and practices
• Be hands on, code and take ownership for features/initiatives
• Must be able to interface with executives, business leaders

Knowledge, Skills, And Abilities Required

• Bachelor’s degree in Computer Science or equivalent
• 12+ years industry experience
• Good leadership skills
• Good experience with Java, Spring, Hibernate, REST
• Good experience with cloud-based development / leveraging cloud services
• Good experience with JavaScript (AngularJS)
• Good experience with SQL / Relational Databases
• Good experience with Big Data / data pipelines on the cloud
• Good verbal and written communication skills
• Proven troubleshooting and problem-solving skills
• Experience working in a Lean/Agile environment

Nice To Have

• Experience developing a microservices architecture
• Experience with Docker, Kubernetes, CI/CD, Jenkins and deploying applications on cloud (Google Cloud Platform preferred)