Lead Engineering Manager for Singapore based Asset Management Fintech

Role Overview:

Zolvit is looking for a highly skilled and self-driven Lead Machine Learning Engineer / Lead Data Scientist to lead the design and development of scalable, production-grade ML systems. This role is ideal for someone who thrives on solving complex problems using data, is deeply passionate about machine learning, and has a strong understanding of both classical techniques and modern AI systems like Large Language Models (LLMs).

You will work closely with engineering, product, and business teams to identify impactful ML use cases, build data pipelines, design training workflows, and ensure the deployment of robust, high-performance models at scale.

Key Responsibilities:

● Design and implement scalable ML systems, from experimentation to deployment.

● Build and maintain end-to-end data pipelines for data ingestion, preprocessing, feature engineering, and monitoring.

● Lead the development and deployment of ML models across a variety of use cases — including classical ML and LLM-based applications like summarization, classification, document understanding, and more.

● Define model training and evaluation pipelines, ensuring reproducibility and performance tracking.

● Apply statistical methods to interpret data, validate assumptions, and inform modeling decisions.

● Collaborate cross-functionally with engineers, data analysts, and product managers to solve high-impact business problems using ML.

● Ensure proper MLOps practices are in place for model versioning, monitoring, retraining, and performance management.

● Keep up-to-date with the latest advancements in AI/ML, and actively evaluate and incorporate LLM capabilities and frameworks into solutions.

● Mentor junior ML engineers and data scientists, and help scale the ML function across the organization.

Required Qualifications:

● 7+ years of hands-on experience in ML/AI, building real-world ML systems at scale.

● Proven experience with classical ML algorithms (e.g., regression, classification,

clustering, ensemble models).

● Deep expertise in modern LLM frameworks (e.g., OpenAI, HuggingFace, LangChain)

and their integration into production workflows.

● Strong experience with Python, and frameworks such as Scikit-learn, TensorFlow,

PyTorch, or equivalent.

● Solid background in statistics and the ability to apply statistical thinking to real-world

problems.

● Experience with data engineering tools and platforms (e.g., Spark, Airflow, SQL,

Pandas, AWS Glue, etc.).

● Familiarity with cloud services (AWS preferred) and containerization tools (Docker,

Kubernetes) is a plus.

● Strong communication and leadership skills, with experience mentoring and guiding

junior team members.

● Self-starter attitude with a bias for action and ability to thrive in fast-paced environments.

● Master’s degree in Machine Learning, Artificial Intelligence, Statistics, or a related

field is preferred.

Preferred Qualifications:

● Experience deploying ML systems in microservices or event-driven architectures.

● Hands-on experience with vector databases, embeddings, and retrieval-augmented

generation (RAG) systems.

● Understanding of Responsible AI principles and practices.

Why Join Us?

● Lead the ML charter in a mission-driven company solving real-world challenges.

● Work on cutting-edge LLM use cases and platformize ML capabilities for scale.

● Collaborate with a passionate and technically strong team in a high-impact environment.

● Competitive compensation, flexible working model, and ample growth opportunities.

Lead technical Consultant

Experience: 9-15 Years

This is a Backend-heavy Polyglot developer role - 80% Backend 20% Frontend

Backend 

1. 1st Primary Language - Java or Python or Go Or ROR or Rust 
2. 2nd Primary Language - one of the above or Node

The candidate should be experienced in atleast 2 backend tech stacks.

Frontend 

1. React or Angular 
2. HTML, CSS

The interview process would be quite complex and require depth of experience. The candidate should be hands-on in backend and frontend development (80-20)

The candidate should have experience with Unit testing, CI/CD, devops etc.

Good Communication skills is a must have.

Key Responsibilities:

Sales Meetings & Client Acquisition:

1. Identify and target potential clients within the HoReCa sector, including hotels, restaurants, and catering companies.

2. Conduct sales presentations and meetings to introduce Acasa's premium products, including sauces and food ingredients.

3. Develop and maintain strong relationships with key decision-makers, including chefs, procurement managers, and restaurant owners. Study Product Benefits & Client Applications:

4. Thoroughly study Acasa’s product range, understanding their unique benefits, ingredients, and uses.

5. Identify and match how Acasa products can meet the needs of various clients, such as high-end restaurants, boutique hotels, and catering companies.

6. Tailor product presentations to showcase specific product benefits to suit the culinary needs and demands of each client.

Product Demonstrations & Trials:

7. Organize and lead product demonstrations and trials to showcase the quality, taste, and versatility of Acasa’s products.

8. Provide technical insights and culinary support to clients, ensuring successful product trials within their kitchens. Generate Sales and Purchase Orders (POs):

9. Convert successful trials into sales by securing POs from clients.

10. Meet monthly and quarterly sales targets through proactive lead generation and follow-up.

11. Track orders to ensure timely fulfilment and maintain high customer satisfaction.

Market Research & Client Potential:

12. Conduct market research to identify potential clients, new trends, and opportunities within the HoReCa sector.

13. Continuously expand the client base by targeting new establishments, studying industry trends, and recognizing gaps that Acasa products can fill.

Reporting & Coordination:

14. Prepare detailed reports on meetings, product trials, and sales progress.

15. Coordinate with internal teams such as marketing, logistics, and customer support to ensure smooth operations and customer satisfaction.

Key Responsibilities:

Sales Meetings & Client Acquisition:

16. Identify and target potential clients within the HoReCa sector, including hotels, restaurants, and catering companies.

17. Conduct sales presentations and meetings to introduce Acasa's premium products, including sauces and food ingredients.

18. Develop and maintain strong relationships with key decision-makers, including chefs, procurement managers, and restaurant owners.

Need Experience in FMCG/HORECA industry

In your role as Software Engineer/Lead, you will directly work with other developers, Product Owners, and Scrum Masters to evaluate and develop innovative solutions. The purpose of the role is to design, develop, test, and operate a complex set of applications or platforms in the IoT Cloud area.

The role involves the utilization of advanced tools and analytical methods for gathering facts to develop solution scenarios. The job holder needs to be able to execute quality code, review code, and collaborate with other developers.

We have an excellent mix of people, which we believe makes for a more vibrant, more innovative, and more productive team.

• A bachelor’s degree, or master’s degree in information technology, computer science, or other relevant education
• At least 5 years of experience as Software Engineer, in an enterprise context
• Experience in design, development and deployment of large-scale cloud-based applications and services
• Good knowledge in cloud (AWS) serverless application development, event driven architecture and SQL / No-SQL databases
• Experience with IoT products, backend services and design principles
• Good knowledge at least of one backend technology like node.js (JavaScript, TypeScript) or JVM (Java, Scala, Kotlin)
• Passionate about code quality, security and testing
• Microservice development experience with Java (Spring) is a plus
• Good command of English in both Oral & Written

Job Profile:-

• Appraising credit proposals and scrutinizing relevant documents prior to sanctioning and disbursement of pre owned car and ensuring compliance with organizational policies.
• Conducting comprehensive study of creditworthiness of individual clients by supervising data verification and field investigation activities.
• Evaluating financial statements of various clients and availing approval of quantum of credit considering all deviations as per policy.
• Interacting with the Field investigation FI and Risk Control Unit RCU agencies, visiting them regularly to resolve their queries, providing valuable feedback to enhance their report quality and ensure seamless execution of business operations.
• Conducted surprise visits to some customers to cross check the authenticity of the FI and RCU reports in turn avoiding fraud cases and minimizing the loses.
• Successfully maintained a Login to disbursement turn around time of 7days and a loan processing turn around time of 48 hours inclusive of FI and RCU process completion
• Pivotal in achieving minimal number of operational errors related to files disbursed.
• Implementing various trackers and reporting systems, preparing daily MIS and monthly branch reports for monitoring business performance.
• Successfully improved the branch profitability by constantly supervising the operations costs.
• Mentoring & motivating the CPA team force, imparting continuous on job training on various changes in the policy for accomplishing greater operational effectiveness.
• Conducting programmes to enhance efficiency in various business operations, setting up sales objectives and streamlining processes to ensure smooth functioning of sales and credit operations.
• Channel Management-Supervising management of files logged in through the alternate Channel as this is one of the most profit making product for the company.
• Implementing result oriented recovery plans, made Business development visits mandatory for high value disbursement rendering regular feedback to the collections team on portfolio performance

Position Overview: We are seeking an experienced ASP.NET Developer to join our development team. As an ASP.NET Developer, you will be responsible for designing, developing, and maintaining web applications using the ASP.NET framework. You will work closely with cross-functional teams to deliver high-quality software solutions that meet our clients' needs.

Responsibilities:

• Collaborate with project managers, business analysts, and other stakeholders to gather requirements and understand project objectives.
• Design and develop web applications using ASP.NET, C#, asp.net core and related technologies.
• Write clean, scalable, and maintainable code following coding standards and best practices.
• Develop database structures, queries, and stored procedures using Microsoft SQL Server or other database systems.
• Implement and integrate third-party libraries, APIs, and frameworks as required.
• Conduct thorough testing of developed applications to ensure functionality, performance, and security.
• Troubleshoot and debug issues in existing applications and provide timely resolutions.
• Participate in code reviews and provide constructive feedback to team members.
• Stay up-to-date with industry trends, technologies, and best practices to continuously improve development processes and techniques.

Qualifications:

• Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent work experience).
• Proven experience as an ASP.NET Developer or in a similar role.
• Strong knowledge of ASP.NET framework and proficiency in C# programming language.
• Experience with web technologies such as HTML, CSS, JavaScript, and jQuery.
• Solid understanding of relational databases and proficiency in SQL.
• Familiarity with front-end frameworks/libraries (e.g., Angular, React) is a plus.
• Experience with version control systems (e.g., Git) and agile development methodologies.
• Ability to work independently as well as in a collaborative team environment.
• Strong problem-solving skills and attention to detail.

              Excellent communication and interpersonal skills.

CommerceIQ is Hiring Data Scientist (3-5 yrs)

At CommerceIQ, we are building the world’s most sophisticated E-commerce Channel Optimization software to help brands leverage Machine Learning, Analytics and Automation to grow their E-commerce business on all channels, globally.

Using CommerceIQ as a single source of truth, customers have driven 40% increase in incremental sales, 20% improvement in profitability and 32% reduction in out of stock rates on Amazon.

What You’ll Be Doing

As a Senior Data Scientist, you will work closely with Engineering/Product/Operations teams to build state-of-the-art ML based solutions for B2B SaaS products. This entails not only leveraging advanced techniques for predictions, time-series forecasting, topic modelling, optimisation but deep understanding of business and product too.

• Apply excellent problem solving skills to deconstruct and formulate solutions from first-principles

• Work on data science roadmap and build the core engine of our flagship CommerceIQ product

• Collaborate with product and engineering to design product strategy, identify key metrics to drive and support with proof of concept

• Perform rapid prototyping of experimental solutions and develop robust, sustainable and scalable production systems

• Work with large scale ecommerce data of the biggest brands on amazon

• Apply out-of-the-box, advanced algorithms to complex problems in real-time systems

• Drive productization of techniques to be made available to a wide range of customers

• You would be working with and mentoring fellow team members on the owned charter

What we are looking for -

• Bachelor’s or Masters in Computer Science or Maths/Stats from a reputed college with 4+ years of experience in solving data science problems that have driven value to customers

• Good depth and breadth in machine learning (theory and practice), optimization methods, data mining, statistics and linear algebra. Experience in NLP would be an advantage

• Hands-on programming skills and ability to write modular and scalable code in Python/R. Knowledge of SQL is required

• Familiarity with distributed computing architecture like Spark, Map-Reduce paradigm and Hadoop will be an added advantage

• Strong spoken and written communication skills, able to explain complex ideas in a simple, intuitive manner, write/maintain good technical documentation on projects

• Experience with building ML data products in an engineering organization interfacing with other teams and departments to deliver impact

• We are looking for candidates who are curious and self-starters; obsess over customer problems to deliver maximum value to them.
• Data scientist, Machine Learning, data science, data analyst

Job Type: Full-time

Experience:

• Data Scientist: 3 years (Required)

Application Question:

• Looking for product based industry experience from tier 1 /tier 2 colleges (NIT ,BIT, IIT,IIIT, BITS, Strong Profiles)