Maintenance Head

Key Responsibilities:

-    Develop, test, and maintain dynamic web applications using React.js and related front-end technologies.

-    Build responsive and interactive user interfaces with reusable components.

-    Collaborate closely with UI/UX designers, backend developers, and project managers to deliver robust and scalable solutions.

-    Integrate RESTful APIs and manage data flow effectively using Redux or other state management libraries.

-    Optimize web applications for maximum performance, scalability, and cross-browser compatibility.

-    Debug and troubleshoot issues to ensure high-quality deliverables.

-    Write clean, maintainable, and well-documented code following best practices.

-    Use Git for version control and participate in code reviews.

Skills Required:

-    Minimum 2 years of professional experience in front-end web development.

-    Strong proficiency in React.js, JavaScript (ES6+), HTML5, and CSS3.

-    Experience with Redux / Context API or other state management tools.

-    Good understanding of component lifecycle, hooks, and functional programming concepts.

-    Familiarity with REST APIs, JSON, and asynchronous data handling.

-    Knowledge of responsive design, cross-browser compatibility, and performance optimization.

-    Familiarity with version control systems (Git).

Key Responsibilities:

• Finalization of accounts and preparation of Balance Sheet & P&L

• Handling GST return filing (GSTR-1, GSTR-3B) and reconciliations

• Managing Income Tax returns, TDS, advance tax, and tax assessments

• Preparation of Bank Reconciliation Statements (BRS)

• Ledger scrutiny, journal entries, and month-end closing

• Coordination with auditors for Statutory & Tax Audits

• Ensuring compliance with accounting standards and statutory regulations

• MIS reporting and financial analysis

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Required Skills:

• Strong knowledge of GST & Income Tax

• Expertise in Finalization of Accounts

• Experience in Bank Reconciliation & Cash Flow Monitoring

• Proficiency in Tally ERP / Tally Prime / SAP / ERP systems

• Good analytical and communication skills

Key Responsibilities

• Handle student inquiries and provide clear, detailed information about courses, programs, and admission procedures.
• Counsel prospective students on appropriate course options based on their educational background, interests, and career aspirations.
• Follow up with leads through calls, emails, and in-person meetings to achieve monthly and quarterly enrollment targets.
• Coordinate with marketing and academic teams to ensure a smooth and efficient admission process.
• Maintain strong relationships with students by delivering exceptional customer service, contributing to student satisfaction and retention.
• Maintain accurate records of leads, follow-ups, and admissions in CRM systems or internal databases.
• Participate in promotional events, webinars, and information sessions as required.

Required Skills and Qualifications

• Minimum 2 years of experience in EdTech, educational sales, or student counselling.
• Fluency in Kannada, English, and Hindi (spoken and written).
• Strong communication, persuasion, and interpersonal skills.
• Ability to work independently and collaborate with teams effectively.
• Graduate degree in any discipline; additional certification in counselling, sales, or student guidance is an added advantage.
• Strong organizational skills, time management, and attention to detail.
• Proficiency in basic computer applications (MS Office, email, CRM tools) preferred.

Preferred Attributes

• Goal-oriented mindset with the ability to work in a fast-paced environment.
• Empathetic approach with excellent listening and counselling skills.
• Willingness to learn, adapt, and handle diverse student requirements.

Strong Senior GenAI / AI Backend Engineer Profiles

Mandatory (Experience 1) – Must have 4+ years of total software development experience, with at least 2+ years working on AI/LLM-based features in production

Mandatory (Experience 2) – Must have strong backend engineering experience using Python (FastAPI / Django preferred) and building production-grade systems

Mandatory (Experience 3) – Must have hands-on experience building LLM-based applications, including OpenAI / Gemini / similar models in real projects

Mandatory (Experience 4) – Must have experience with RAG (Retrieval Augmented Generation) including chunking, embeddings, and retrieval pipelines

Mandatory (Experience 5) – Must have experience designing end-to-end AI pipelines, including chaining, tool usage, structured outputs, and handling failure cases

Mandatory (Experience 6) – Must have experience building agentic AI systems (multi-step workflows, tool orchestration like LangGraph / CrewAI or custom agents)

Mandatory (Experience 7) – Must have strong coding and system design skills, not just prompt engineering or experimentation

Mandatory (Experience 8) – Must have experience shipping AI features in production, not just POCs or research projects

Mandatory (Experience 9) – Must have experience working with APIs, backend services, and integrations

Mandatory (Experience 10) – Must have understanding of AI system reliability, including latency, cost optimization, fallback handling, and basic eval thinking

Mandatory (Company) – Product companies / startups, preferably Series A to Series D

Mandatory (Note) - Candidate's overall experience should not be more than 7 Yrs

Mandatory (Tech Stack) – Strong in Python + AI/LLM ecosystem, experience with modern AI tooling and frameworks

Mandatory (Exclusion) – Reject profiles that are only Prompt Engineers, Data Scientists, or Frontend Engineers without strong backend + system building experience

Requirements

Experience:

• 5-8 years of working experience in ML/Data science preferably from remote sensing background.
• Experience in leading a team of both data scientist and machine learning engineers to solve challenging problems preferably in the Infrastructure and Utilities domain using geospatial & remote sensing data.
• Statistical knowledge along with great proficiency in python
• Strong understanding and implementation experience of predictive modeling algorithms such as regressions, time series, neural networks, clustering, decision trees and heuristic models, with familiarity dealing with tradeoffs between model performance and business needs
• Experience combining user research and data science methodologies across multiple products within the business unit.
• Must have delivered multiple data science product(s) in production.

Minimum qualification:

• Advanced degree (MSc/PhD) in Computer Science, Economics, Engineering, Operations Research, Physics or Mathematics/Statistics preferred.

Competencies:

• Fantastic communication skills that enable you to work cross-functionally with business folks, product managers, technical experts, building solid relationships with a diverse set of stakeholders.
• The ability to convey complex solutions to a less technical person.
• Vast analytical problem-solving capabilities & experience.
• Bias for action.

Must have:

• 8+ years of experience with a significant focus on developing, deploying & supporting AI solutions in production environments.
• Proven experience in building enterprise software products for B2B businesses, particularly in the supply chain domain.
• Good understanding of Generics, OOPs concepts & Design Patterns
• Solid engineering and coding skills. Ability to write high-performance production quality code in Python
• Proficiency with ML libraries and frameworks (e.g., Pandas, TensorFlow, PyTorch, scikit-learn).
• Strong expertise in time series forecasting using stat, ML, DL and foundation models
• Experience of working on processing time series data employing techniques such as decomposition, clustering, outlier detection & treatment
• Exposure to generative AI models and agent architectures on platforms such as AWS Bedrock, Crew AI, Mosaic/Databricks, Azure
• Experience of working with modern data architectures, including data lakes and data warehouses, having leveraged one or more of the frameworks such as Airbyte, Airflow, Dagster, AWS Glue, Snowflake,, DBT
• Hands-on experience with cloud platforms (e.g., AWS, Azure, GCP) and deploying ML models in cloud environments.
• Excellent problem-solving skills and the ability to work independently as well as in a collaborative team environment.
• Effective communication skills, with the ability to convey complex technical concepts to non-technical stakeholders

Good To Have:

• Experience with MLOps tools and practices for continuous integration and deployment of ML models.
• Has familiarity with deploying applications on Kubernetes
• Knowledge of supply chain management principles and challenges.
• A Master's or Ph.D. in Computer Science, Machine Learning, Data Science, or a related field is preferred

nurture.farm is looking for an experienced Technical Lead Manager who is eager to have an impact on the future of sustainable agriculture around the globe.

Our Company

At nurture.farm, we are putting the farmer at the center of everything we do. We are building a more resilient and sustainable farming ecosystem by reducing risks and improving the quality of life for the farmers and their families through digitization of the farming life cycle, financial inclusion of the farming community, and affordable timely access to products, technologies, advisory and services. We are a technology-led organization, focused on bringing scalable and sustainable solutions to the farming ecosystem. We are a young entrepreneurial startup that wants to learn, create and adapt every day. We aspire to create a happy and productive workplace for our employees, that embodies respect and transparency in every part of the organization.

What you’ll do

• Design, develop, test, deploy, maintain and improve software.
• Manage individual project priorities, deadlines and deliverables.
• Enthusiastic to take on problems across the full-stack.

What we’re looking for

● Dreamers, who are passionate about creating something that touches millions of people, and transforms lives,

● Sculptors, who take pride in simplicity of design, and have the keenest eye for detail when it comes to quality

● Learners, who look forward to continuing to grow everyday.

● 5-8yrs of Software development experience in one or more general purpose programming languages.

B.Tech Computer Science, or similar field of study, or equivalent practical experience.

● Experience designing and implementing distributed systems

● Excellent C++, Java, Go and/or Python skills.

● Understanding of the Agritech domain and application of technology in farming.

● BTech Computer Science, or similar field of study, or equivalent practical experience.

About us :

BharatPe was co-founded by Ashneer Grover and Shashvat Nakrani in 2018 with the vision to make financial inclusion a reality for Indian merchants.

BharatPe launched India's first UPI interoperable QR code, first ZERO MDR payment acceptance service, and first UPI payment backed merchant cash advance service.

In 2020, post-Covid, BharatPe also launched India's only ZERO MDR card acceptance terminals - BharatSwipe. Currently serving over 50 lakh merchants across 35 cities, the company has grown business 30x in 2019 and is a leader in UPI offline transactions, having processed 5 crore+ UPI transactions a month (annualized TPV of US$ 5+ Bn).

INVESTORS :

- The company's list of marquee investors includes Beenext, Sequoia, SteadView Capital, Ribbit Capital, Coatue Management LLC, Insight Partners, and Amplo.The company has already facilitated disbursement of over Rs. 500 crores to its merchants since launch.

- Total Funding : $283.5M

- Latest Funding : Series D

- Why Join BharatPe ?

- Quality of work : Our current tech setup is serving us well for now. But, at our pace of growth, we know we will outgrow it soon. So, we are rebuilding our tech stack from scratch. Be it infrastructure as code, containerization and orchestration, event driven microservices, stream processing, or intrusion kill chain, we have a clear roadmap as well as prior experience of building modern state-of-the-art technology architecture. This is an excellent opportunity to build a world class tech setup from scratch and take it to scale.

- High operating freedom : We believe in ownership and accountability rather than command and control. Our teams are structurally empowered to operate with a lot of freedom, with effective mechanisms built within the teams to help with sound yet quick decision making.

- Experimentation and risk taking is encouraged to achieve ambitious goals.

- Competitive compensation.

- Cash and high growth equity.

- We pay good cash and our equity is growing at a very fast pace.

- We have a good team, proven business, and ample capital. Thus, the downside risk is low and upside potential is high.

- We are accelerating full throttle.

- This is the best stage to join a startup.

- Positive culture.

- We believe new ideas can come from everywhere, so we are always on the lookout. Instead of carrot and stick approach, we appeal to internal motivation to excel.

- We are strong team players - we build on each other's strengths and have each other's back in failures.

Requirements :

- Innovative and self-motivated with passion to develop complex and scalable applications.

- 2-5 years of experience in software development with strong focus on algorithms and data structures.

- Strong coding and design skills with prior experience in developing scalable & high availability applications using Core Java/J2EE, Spring, Hibernate.

- Work experience with Relational databases is required (Primarily MySQL).

- Prior work experience with Non-Relational databases (primarily Redis, MongoDb) is an added plus.

- Strong Analytical and Problem Solving Skills.

- B Tech/BCA from IIT or BE in computer science from a top REC/NIT.