Business development trainee

Job Title : Senior Software Engineer – Backend

Experience Required : 6 to 12 Years

Location : Bengaluru (Hybrid – 3 Days Work From Office)

Number of Openings : 2

Work Hours : 11:00 AM – 8:00 PM IST

Notice Period : 30 Days Preferred

Work Location : SmartWorks The Cube, Karle Town SEZ, Building No. 5, Nagavara, Bangalore – 560045

Note : Face-to-face interview in Bangalore is mandatory during the second round.

Role Overview :

We are looking for an experienced Senior Backend Developer to join our growing team. This is a hands-on role focused on building cloud-based, scalable applications in the mortgage finance domain.

Key Responsibilities :

• Design, develop, and maintain backend components for cloud-based web applications.
• Contribute to architectural decisions involving microservices and distributed systems.
• Work extensively with Node.js and RESTful APIs.
• Implement scalable solutions using AWS services (e.g., Lambda, SQS, SNS, RDS).
• Utilize both relational and NoSQL databases effectively.
• Collaborate with cross-functional teams to deliver robust and maintainable code.
• Participate in agile development practices and deliver rapid iterations based on feedback.
• Take ownership of system performance, scalability, and reliability.

Core Requirements :

• 5+ Years of total experience in backend development.
• Minimum 3 Years of experience in building scalable microservices or delivering large-scale products.
• Strong expertise in Node.js and REST APIs.
• Solid experience with RDBMS, SQL, and data modeling.
• Good understanding of distributed systems, scalability, and availability.
• Familiarity with AWS infrastructure and services.
• Development experience in Python and/or Java is a plus.

Preferred Skills :

• Experience with frontend frameworks like React.js or AngularJS.
• Working knowledge of Docker and containerized applications.

Interview Process :

1. Round 1 : Online technical assessment (1 hour)
2. Round 2 : Virtual technical interview
3. Round 3 : In-person interview at the Bangalore office (2 hours – mandatory)

Machine Learning Engineer / AI Engineer

2 to 10 Years Experience

What if your models didn't just forecast demand — they autonomously acted on it?

We're building the next generation of supply chain intelligence, where AI agents don't just predict — they reason, decide, and adapt. If you're the kind of engineer who gets excited about turning a forecast into an autonomous decision engine, this role is for you.

Be Part of Something Bigger

At our core, we own the challenge and drive the future — taking full responsibility for delivering smart, sustainable solutions that optimize supply chains. We believe knowledge fuels confidence, fostering continuous learning, innovation, and expertise to push boundaries with clarity and purpose.

With a commitment to opportunities for all and growth for everyone, we create pathways for success, empowering individuals to thrive. Our strength lies in being stronger, smarter, together — harnessing diverse perspectives and collaboration to drive bold ideas. Above all, we focus on impact that matters and results that last, building intelligent, sustainable solutions that create long-term value for businesses and the world.

What You'll Build

You'll architect intelligent systems that sense demand shifts in real time and recommend actions before a human even asks. Specifically, you will work across:

•      Agentic AI pipelines that go beyond prediction — systems that reason, decide, and adapt autonomously

•      Advanced demand forecasting and sensing models using attribute-based and cohort-based approaches

•      Signal integration frameworks that fuse external data and real-time market inputs

•      Feature engineering at scale — lag structures, rolling aggregations, and derived features

•      Model performance frameworks tied directly to measurable business outcomes

•      Translating complex model insights into clear, actionable language for clients and leadership

Who You Are

You bring a strong foundation in machine learning and a genuine curiosity about where AI is heading. The ideal candidate has:

•      2–10 years of hands-on experience in ML, AI, or Data Science with proven model-building track record

•      Python fluency — pandas, scikit-learn, XGBoost, LightGBM are second nature to you

•      Deep understanding of time series forecasting and experience with large-scale transactional datasets

•      Ability to connect model outputs to real business impact and articulate the 'so what' clearly

•      Genuine curiosity about the power of AI and openness to emerging tools and paradigms — including agentic and generative AI

Bonus Points

•      Experience in retail, supply chain, or inventory planning domains

•      Exposure to hierarchical forecasting, new product forecasting, or ensemble methods

•      Hands-on work with LLM-based agents or orchestration frameworks

Why This Role Is Different

Your models won't sit in a notebook — they'll drive decisions for real companies managing real inventory and real revenue.

•      Work at the cutting edge of agentic AI in supply chain, a space being reinvented right now

•      See your models directly influence supply chain decisions for enterprise brands, retailers, and grocers

•      Collaborate with a team of domain experts, data scientists, and product leaders who obsess over outcomes

•      Invest your curiosity in shaping how AI transforms an entire industry from the ground up

Key Performance Indicators

•      Model accuracy, reliability, and real-world forecast performance

•      Speed and quality of model deployment to production pipelines

•      Business impact of AI-driven recommendations — measured in inventory efficiency and revenue outcomes

•      Cross-functional collaboration effectiveness with product, engineering, and client teams

CTC: 15 LPA to 21 LPA

Exp: 5 to 8 Years

Mandatory

• Strong Behavioral Data Analyst Profiles
• Mandatory (Experience 1): Minimum 4+ years of experience in user analytics or behavioural data analysis, focusing on user app and web journeys
• Mandatory (Experience 2): Experience in analyzing clickstream and behavioral data using tools such as Google Analytics, Mixpanel, CleverTap, or Firebase
• Mandatory (Skills 1): Hands-on experience in A/B testing, including hypothesis design, experimentation, and result interpretation.
• Mandatory (Skills 2): Strong analytical ability to identify behavioral patterns, anomalies, funnel drop-offs, and engagement trends from large datasets.
• Mandatory (Skills 3): Hands-on proficiency in SQL, Excel, and data visualization tools such as Tableau or Power BI for dashboard creation and data storytelling.
• Mandatory (Skills 4): Basic understanding of UX principles and customer journey mapping, collaborating effectively with UX/CX teams
• Mandatory (Company): B2C product Companies (fintech, or e-commerce organizations with large user behavior dataset is a plus)
• Mandatory (Note): Don't want data analysis but business/product/user analysts

Ideal Candidate:

• Bachelor’s or Master’s degree in a relevant field (e.g., UX Design, Human-Computer Interaction, Computer Science, Marketing).
• 5+ years of experience in CX/UX roles, preferably in a B2C environment.
• Proficiency in analytics tools (Google Analytics, CleverTap, Medallia, Hotjar, etc).
• Strong understanding of wireframing and prototyping tools (Figma, XMind, etc).
• Excellent communication and collaboration skills.
• Proven experience in managing cross-functional teams and projects.
• Strong background in data analytics and data-driven decision-making.
• Expert understanding of user experience and user-centered design approaches
• Detail-orientation with experience and will to continuously learn, adapt and evolve
• Creating and measuring the success and impact of your CX designs
• Knowledge of testing tools like Maze, UsabiltyHub, UserZoom would be a plus
• Experienced in designing responsive websites as well as mobile apps
• Understanding of iOS and Android design guidelines
• Passion for great customer-focus design, purposeful aesthetic sense and generating simple solutions to complex problems.
• Excellent communication skills to be able to present their work and ideas to the leadership team.

If interested kindly share your updated resume on 82008 31681

Are you a high-performing, collaborative, results-oriented and technologically savvy person who is keen on working in the digital industry, as a Consultant (for 3 months)

Our client is the Health-tech initiative of India's largest business house. Started in 2015, it empowers healthcare providers and consumers in India. All healthcare monitoring services are made available through an app that will help connect doctors, hospitals, pharmacies, laboratories, and consumers, enabling preventive and predictive healthcare.

It helps the care-givers to track the entire patient journey from the initial appointment and maintaining their records, generating lab test reports to providing virtual consultation and home-care solutions. It is expected that this futuristic guide will strengthen the doctor-patient relationship and enhance the in-clinic experience.

As a Technical Writer (Consultant), you will work with teams of engineers to create internal technical documentation. This will include technical architecture diagrams, flow diagrams, API documentation and microservice details.

You will also be responsible for writing knowledge base articles for a technical audience.

What you will do:

• Documenting product architecture, APIs, technical specifications
• Developing and writing high-quality technical documents meeting industry standards
• Communicating with product developers and understanding the product and its interactions
• Maintaining documentation as the product changes occur
• Gathering information from team meetings, product specifications, interviews with subject-matter experts, and direct interaction with systems
• Gathering and addressing feedback from multiple sources
• Working independently and rapidly to meet tight deadlines

What you need to have:

• BA in technical/ professional communication, English, computer science/ engineering, or other related field
• Authoring concepts, designs, technical specifications
• Following organizational and industry standards (such as Microsoft Manual of Style for Technical Publications or similar)
• Proven ability to quickly learn and understand complex topics
• Managing multiple versions of topics
• Using UNIX/ Linux command-line interfaces
• Additionally, should be able to: Write release notes and Write end user documentation, help guides