Program Advisor

Role Overview

We are seeking an experienced Machine Learning Engineer to design, develop, deploy, and scale machine learning solutions in production environments. The ideal candidate will have strong expertise in model development, MLOps, backend integration, and scalable ML system architecture.

Key Responsibilities

• Design, train, and deploy machine learning and deep learning models for real-world applications.
• Build and scale ML models and pipelines to handle large datasets and high-traffic production workloads.
• Perform data exploration, preprocessing, feature engineering, and dataset optimization.
• Develop and integrate APIs for ML model consumption using frameworks such as FastAPI, Flask, or Django.
• Implement end-to-end ML workflows, including experimentation, versioning, deployment, and monitoring.
• Build scalable data pipelines and processing workflows for batch and real-time use cases.
• Monitor model performance, drift, and system reliability in production.
• Collaborate with data engineers, DevOps, and product teams to productionize ML solutions.

Required Skills & Qualifications

• 5+ years of experience in Machine Learning Engineering or related roles.
• Proven experience in training, developing, deploying, and scaling ML models in production.
• Strong knowledge of data exploration, preprocessing, and feature engineering techniques.
• Proficiency in Python and ML/Data Science libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, and PyTorch.
• Experience with API development and backend integration (FastAPI, Flask, Django).
• Solid understanding of MLOps tools and practices, including MLflow, Kubeflow, Airflow, Prefect, Docker, and Kubernetes.
• Experience building scalable data pipelines, processing workflows, and monitoring deployed models.

Data Research Analyst (DRA) – Sales

Key Responsibilities:

·        Research and extract relevant business data from various online portals, directories, and platforms.

·        Identify and qualify hot leads that align with our target customer profile.

·        Maintain and update accurate records of leads

·        Work closely with the sales team to ensure smooth lead handover.

·        Continuously monitor lead sources and suggest new opportunities for data gathering.

Requirements:

·        Prior experience in data research, lead generation, or sales support.

·        Able to get the prospect’s email, phone numbers and more.

·        Strong attention to detail and accuracy in data handling.

·        Familiarity with sales portals like LinkedIn, Upwork, Clutch, etc.

·        Good communication skills and ability to understand target market requirements.

About the Company:

Our client is a leading mid‐market investment bank with strong practices around M&A, PE, Capital Markets, Institutional Equities, Wealth Management, Insurance Broking, and Portfolio Management Services. A trusted Investment bank servicing customers with the best results in advisory in their investments, the best corporates for their growth & capital need, and families in managing their wealth. Led by seasoned bankers, our client works with the largest and the most reputed investors.

Role: Sales/Relationship Manager

Location: Ahmedabad

Job Description:

• Advising Affluent clients on their investments and managing their overall financial portfolio whilst deepening the wallet from existing clients

• Responsible for managing HNI clients and acquiring new customers

• To research, investigate and update them on available investment opportunities/financial market trends to determine whether they fit into client's portfolios

Requirements:

• Graduate + MBAs

• Relationship Managers with prior experience in a Broking/Private bank/wealth management setup

• Should be an aggressive, result-oriented & self-motivated professional

• Should have experience in handling HNI Client Acquisitions and Relationship Management & service

• Ability to engage clients in meaningful conversations about their finance

• A thorough understanding of financial markets and the various financial products to identify the best product mix for the client to suit his risk profile

• Strong interpersonal skills with an ability to generate trust and confidence in clients

• The candidate should be self-driven and aspire to move up the ladder, with the growing organization by building up and leading their own teams independently

Job Responsibility:

- Hands-on non-academic experience From 4 to 5 years as a .NET Developer or Application Developer

- Strong knowledge of object-oriented programming

- Good Understanding with the ASP.NET framework,VB.NET , VC#.NET, SQL Server and design/architectural patterns (e.g. MVC)

-  Basic Knowledge of Microsoft SQL Server

-  Basic Knowledge of Agile methodologies

- Database: SQL Server, SSIS & SSRS (will be a plus)

- Great understanding, Debugging and problem-solving skills.