Talend Production Support Engineer

AI/ML Engineer (Open-Source LLM – BFSI Domain)

Job Title: AI/ML Engineer (Open-Source LLM – BFSI Domain)

Location: Brookefield, Bengaluru

Employment Type: Full-Time

Work Schedule: Monday to Saturday (Alternate Saturdays Off)

Working Hours: 9:00 AM – 6:00 PM (Extendable based on project requirements)

About the Role

We are seeking a talented AI/ML Engineer with hands-on experience in building, fine-tuning, and deploying Open-Source Large Language Models (LLMs) for the Banking, Financial Services, and Insurance (BFSI) domain. The ideal candidate will have practical experience developing production-ready AI solutions and a passion for leveraging Generative AI to solve real-world business challenges.

In this role, you will collaborate with Product, Engineering, and Data Science teams to design intelligent AI solutions that enhance customer experience, automate business processes, and improve operational efficiency.

Key Responsibilities

Design, develop, fine-tune, and deploy Open-Source LLMs for BFSI use cases.

Build AI-powered applications using modern LLM frameworks and orchestration tools.

Collaborate with Product Managers, Data Scientists, and Software Engineers to understand business requirements and deliver scalable AI solutions.

Conduct model experimentation, evaluation, optimization, and performance benchmarking using real-world datasets.

Implement Retrieval-Augmented Generation (RAG), prompt engineering, vector databases, and AI workflows where applicable.

Monitor model performance in production environments and continuously improve model accuracy, latency, and scalability.

Ensure AI solutions comply with enterprise security, privacy, and regulatory standards.

Develop APIs and integrate AI models into enterprise applications.

Maintain technical documentation, architecture diagrams, and deployment procedures.

Stay updated with the latest advancements in Artificial Intelligence, Machine Learning, and Open-Source LLM technologies.

Required Qualifications

Education

Bachelor's degree in Computer Science, Artificial Intelligence, Information Technology, Engineering, or a related technical field.

Equivalent practical experience will also be considered.

Experience

Minimum 2+ years of hands-on AI/ML development experience.

Experience in the BFSI domain is preferred.

Proven experience building and deploying AI/ML solutions in production environments.

Technical Skills

Programming Languages

Python (Mandatory)

Java (Preferred)

AI/ML Frameworks

PyTorch

TensorFlow

Scikit-learn

Open-Source LLM Technologies

Experience with one or more of the following:

LangChain

LangGraph

Ollama

Hugging Face Transformers

Llama

Mistral

DeepSeek

Qwen

vLLM

FastAPI

Generative AI

Prompt Engineering

Fine-Tuning LLMs

Retrieval-Augmented Generation (RAG)

Embeddings

Vector Databases (FAISS, ChromaDB, Milvus, Pinecone, etc.)

Model Evaluation and Optimization

Additional Skills

Docker

Kubernetes (Preferred)

REST APIs

Git

Linux

CI/CD pipelines

Core Competencies

Strong analytical and problem-solving skills.

Excellent understanding of AI/ML concepts and LLM architectures.

Ability to communicate technical concepts to non-technical stakeholders.

Strong interpersonal and collaboration skills.

Self-motivated with a passion for continuous learning and innovation.

Preferred Experience

Experience in any of the following areas will be an added advantage:

Banking & Financial Services applications

Fraud Detection

Credit Risk Assessment

Intelligent Document Processing

Loan Processing Automation

Customer Support Chatbots

Regulatory Compliance

OCR & Document AI

Agentic AI and Multi-Agent Systems

Interview Process

Round 1 – Technical Interview

Conducted by: Senior AI Engineer

Assessment includes:

Python Programming

Machine Learning Fundamentals

Open-Source LLMs

LangChain & RAG

Coding and Problem Sol…

• Proficient experience of minimum 3 years into C++ & experience using MFC library.
• Good experience into C# programming.
• Working experience into COM.
• Good Communication skills.

SOLARSQUARE  ·  ENGINEERING

Staff Engineer, Data Platform

Team: Data Engineering    ·    Level: Staff (Individual Contributor)    ·    Experience: 8+ years      ·    Full-time

Own the data platform that turns every customer and field interaction into a decision SolarSquare can act on.

About SolarSquare :

At SolarSquare we are building the Home-Energy brand of future India. We help homes switch to rooftop solar and move away from traditional coal electricity. We are a full-stack D2C residential solar brand — designing, installing, maintaining (after-sales), and financing solar systems for home-owners across India.

In a few short years we have scaled to become the leading residential solar brand in India. We are obsessed with quality, customer service, and innovating to make it simple for homes to switch to solar. We are looking for leaders to join us in this mission.

Get to know us

• SolarSquare - company website
• Featured by TIME as one of the World’s Top GreenTech Companies of 2025
• SolarSquare raises $53M Series C led by B Capital (Moneycontrol)
• India’s rooftop solar market and SolarSquare’s growth (TechCrunch)

About the role :

As a Staff Engineer on Data Platform, you set the technical direction for how we move, model, and serve data across the entire customer lifecycle — from real-time operational streams off thousands of field devices to the analytical layer our leaders and AI systems depend on. You operate at the scope of the platform: ambiguous problems land on your desk, and you turn them into systems the whole org builds on.

What you’ll own :

• Design and scale the data platform end to end: streaming ingestion, batch pipelines, the analytical warehouse, and a governed self-serve metrics layer.
• Build real-time operational data streams that power field operations and customer-facing experiences with low latency and high reliability.
• Own data quality, lineage, and governance — including PII handling — so teams trust the data and never dump it mindlessly.
• Define a golden metrics layer and the standards, contracts, and tooling that make analytics self-serve across the org.
• Set the bar on craft: review designs, clear data tech debt every sprint, and mentor engineers across pods.

The Tech you’ll work with :

You’ll work across event streaming (Kafka), PostgreSQL as the system of record, a columnar analytical warehouse for OLAP, Python-based pipelines, and Metabase for self-serve BI — with more workloads moving to real-time and columnar storage as we scale. We’re stack-agnostic for the right person; fundamentals matter more than any one tool.

What we’re looking for :

• 8+ years building large-scale data systems in production, with deep ownership of at least one major data platform.
• Strong command of distributed data processing and streaming architectures, plus modern columnar / analytical warehouses.
• Expert SQL and data modeling; fluency in data quality, lineage, and governance.
• Proven ability to turn ambiguous business questions into durable data models and reusable platform abstractions.
• Experience setting technical direction and growing the engineers around you.
• Customer-obsessed and impact-led: you start from the customer’s pain and judge yourself by the metric your work moves, not the tickets you close.
• High agency: you don’t wait to be told — you spot problems, pick them up, and own the outcome through to production.
• Craft over shortcuts: you fix root causes rather than symptoms, clear tech debt as you go, and don’t ship bugs.
• Bias for speed and simplicity: you build once for reuse, automate the mundane, and let AI draft the first pass so your judgment goes where it matters.
• Data-driven: you reach for evidence over assumptions and let results guide the next decision.

Bonus points

• Experience with lakehouse architectures, real-time analytics, or geospatial / IoT-scale data.
• Exposure to semantic layers and self-serve analytics platforms.
• Built data platforms that feed ML or AI systems.

Why you’ll love building here

• Direct ownership of high-impact initiatives with visible customer and business outcomes.
• An AI-native engineering culture with first-class tooling and internal agents.
• A high-agency, low-bureaucracy environment where you debate what’s right and ship.
• A meritocracy where growth and recognition track impact, not tenure.
• Competitive compensation.
• A front-row seat to putting clean energy on millions of Indian rooftops.

Job Summary:

We're seeking a highly organized and detail-oriented Back Office Executive / Sales Support to join our team. You'll provide administrative support, manage data, and maintain dispatch.

Key Responsibilities:

- Project Processing: Manage orders, track project timetables, and enhance teamwork

- Finance and Accounting: Create invoices, manage accounts

- Administrative Support: Provide support to front-office staff, manage documents, and maintain records

Requirements:

- Education: Bachelor's degree

- Experience: 0-3 years in back office, dispatch coordination, operation support, or sales support

- Skills:

  - Technical: MS Office, Excel, SO/PO management, dispatch management, quotation preparation, and client coordination

  - Soft: Excellent communication, organizational, and analytical skills

What We Offer:

-

- Benefits: Paid sick time, paid time off, provident fund

- Work Environment: Office-based

Role: Lead Salesforce Developer (Conga Composer & Docusign)

Shift Timings: 4:30 AM to 12:30 AM

Experience: 6+ Years

Location: Remote

Job Responsibilities: 

·      The Salesforce Developer role requires an in-depth understanding of enterprise IT software deployment and life cycle.

·      Solid understanding of and detailed experience with Salesforce architecture and API. Proficiency in Salesforce Lightning components, Apex, Visualforce, SOQL, and SOSL.

·      Proven experience as a Salesforce Developer with expertise in Conga Composer and Docusign. 

·      Design and develop solutions using Conga Composer for automated document generation. Configure and develop Docusign workflows to meet business requirements and compliant e-signature processes.

·      Experience with web technologies such as HTML, CSS, JavaScript, and frameworks like Aura and LWC (Lightning Web Components).

·      Solid Experience with Knowledge of Salesforce integration tools and techniques (REST, SOAP, APIs).

·      Proven experience as a Salesforce Communities Developer with a strong understanding of Salesforce Community Cloud and Sales Cloud.

·      Release processes for complex integrated enterprise application knowledge is a plus. Participate in the feature delivery process from beginning to end, including documentation, system operational tasks, and declarative application development work.

·      Leverage Agile methodologies for development.

·      Assist with the development and deployment of training and training materials and demo new functionality to stakeholders.

·      Provide dedicated team support focused on finding ways to be more efficient through continuous process improvement.

We are looking for a Data Analyst that oversees organisational data analytics. This will require you to design and help implement the data analytics platform that will keep the organisation running. The team will be the go-to for all data needs for the app and we are looking for a self-starter who is hands on and yet able to abstract problems and anticipate data requirements.
This person should be very strong technical data analyst who can design and implement data systems on his own. Along with him, he also needs to be proficient in business reporting and should have keen interest in provided data needed for business.

Tools familiarity:  SQL, Python, Mix panel, Metabase, Google Analytics,  Clever Tap, App Analytics

Responsibilities

• Processes and frameworks for metrics, analytics, experimentation and user insights, lead the data analytics team
• Metrics alignment across teams to make them actionable and promote accountability
• Data based frameworks for assessing and strengthening Product Market Fit
• Identify viable growth strategies through data and experimentation
• Experimentation for product optimisation and understanding user behaviour
• Structured approach towards deriving user insights, answer questions using data
• This person needs to closely work with Technical and Business teams to get this implemented.

Skills

• 4 to 6 years at a relevant role in data analytics in a Product Oriented company
• Highly organised, technically sound & good at communication
• Ability to handle & build for cross functional data requirements / interactions with teams
• Great with Python, SQL
• Can build, mentor a team
• Knowledge of key business metrics like cohort, engagement cohort, LTV, ROAS, ROE

Eligibility

BTech or MTech in Computer Science/Engineering from a Tier1, Tier2 colleges

Good knowledge on Data Analytics, Data Visualization tools. A formal certification would be added advantage.

We are more interested in what you CAN DO than your location, education, or experience levels.

Send us your code samples / GitHub profile / published articles if applicable.

• Conceptualizing creative ideas with clients.
• Testing and improving the design of the website.
• Establishing design guidelines, standards, and best practices.
• Maintaining the appearance of websites by enforcing content standards.
• Designing visual imagery for websites and ensuring that they are in line with branding for clients.
• Working with different content management systems.
• Communicating design ideas using user flows, process flows, site maps, and wireframes.
• Incorporating functionalities and features into websites.
• Designing sample pages including colors and fonts.
• Preparing design plans and presenting the website structure.

• A relevant diploma in a related field.
• Proficiency in graphic design software including Adobe Photoshop, Adobe Illustrator, and other visual design tools.
• Proficiency in front-end development web programming languages such as HTML and CSS, JQuery, and JavaScript.
• Good understanding of content management systems.
• Good understanding of search engine optimization principles.
• Proficient understanding of cross-browser compatibility issues.
• Excellent visual design skills.
• Up-to-date experience with international web protocols, standards, and technologies.
• Creative and open to new ideas.
• Adaptable and willing to learn new techniques.
• Excellent communication skills.