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B1 – Data Scientist  -  Kofax Accredited Developers

Requirement – 3

Mandatory –

• Accreditation of Kofax KTA / KTM
• Experience in Kofax Total Agility Development – 2-3 years minimum
• Ability to develop and translate functional requirements to design
• Experience in requirement gathering, analysis, development, testing, documentation, version control, SDLC, Implementation and process orchestration
• Experience in Kofax Customization, writing Custom Workflow Agents, Custom Modules, Release Scripts
• Application development using Kofax and KTM modules
• Good/Advance understanding of Machine Learning /NLP/ Statistics
• Exposure to or understanding of RPA/OCR/Cognitive Capture tools like Appian/UI Path/Automation Anywhere etc
• Excellent communication skills and collaborative attitude
• Work with multiple teams and stakeholders within like Analytics, RPA, Technology and Project management teams
• Good understanding of compliance, data governance and risk control processes

Total Experience – 7-10 Years in BPO/KPO/ ITES/BFSI/Retail/Travel/Utilities/Service Industry

Good to have

• Previous experience of working on Agile & Hybrid delivery environment
• Knowledge of VB.Net, C#( C-Sharp ), SQL Server , Web services

Qualification -

• Masters in Statistics/Mathematics/Economics/Econometrics Or BE/B-Tech, MCA or MBA 

Relationship Manager- Broking

Job Locations : Mumbai ( Kalyan & Borivali ) / Chennai / Kanpur

Key Responsibilities:

·         Build and maintain strong relationships with Authorized Partners (APs).

·         Drive business growth and enhance partner revenue.

·         Provide training, mentoring, and activation support for business partners.

·         Ensure compliance with regulatory and procedural standards.

·         Promote stock broking products such as Smallcase, Stock SIP, MTF, Investments & Trading.

·         Engage, motivate, and develop business partnerships.

·         Deliver service excellence and meet key business KPIs.

Requirements:

·         Minimum 1 year of experience in broking/financial markets.

·         Strong communication & relationship management skills.

·         Good knowledge of financial markets & trading.

·         Comfortable working in a target-driven environment.

Overview

We seek a detail-oriented, collaborative Technical Enablement Lead to drive the implementation of enterprise systems and associated integrations, specifically with ERP (Enterprise Resource Planning) platforms and WMS (Warehouse Management Systems). This role is ideal for someone who thrives in cross-functional environments and excels at translating operational needs into scalable technical solutions. 

Key Responsibilities

 Cross-Functional Technical Integration

• Drive alignment across engineering, data, and warehouse operations teams
• Work with the teams to help translate business requirements into actionable integration tasks and system configurations

 Issue Resolution & Continuous Improvement

• Identify and mitigate risks early, removing barriers to keep the team on track
• Work with the technical teams who monitor system performance and data flow integrity
• Lead the teams in root cause analysis and implement iterative enhancements to integration reliability

ETL Process Oversight

• Collaborate with partner who leads the design and validation of ETL pipelines for syncing inventory, orders, and shipment data
• Ensure teams maintain data accuracy, schema compatibility, and robust error handling across platforms

Systems Mapping & Architecture 

• Partner with brand and vendor IT teams to design and document integration pathways between ERP and WMS systems
• Work with teams to identify data dependencies, transformation logic, and system constraints
• Confirm alignment with operations leads on workflows and priorities

Access Control Oversight

• Partner with teams to define and coordinate role-based access controls across integrated systems
• Collaborate with infrastructure and security teams to maintain compliance and operational integrity

Qualifications:

• 3-5 + years of experience
• Strong understanding of ERP and WMS platforms and their integration patterns
• Experience working with teams that implement integration tools, e.g., ETL, data mapping
• Familiarity with system roles and access controls 
• Excellent communication and coordination skills across technical and operational teams
• Ability to document and communicate systems in a clear, structured manner

Nice to Have:

• ERP: NetSuite, or JDE, 
• WMS: Blue Yonder, Deposco
• Any Project Methodology certifications: Agile, Waterfall, Etc…

Key Responsibilities

• Backend & API Engineering (60% Focus)
• Design and implement REST APIs and microservices for high-performance AI systems.
• Apply enterprise object-oriented programming best practices for secure, scalable backend services.
• Integrate AI-powered features with cloud-native architectures.
• Generative AI & LLM Development (40% Focus)
• Build LLM-powered features with the OpenAI API or other LLM APIs (reasoning and non-reasoning models, temperature tuning, version control).
• Implement retrieval-augmented generation (RAG).
• Apply advanced prompt engineering and model tuning techniques for optimized results.
• Deploy and manage solutions using Docker and secure integrations (e.g., SSO, Google Drive).

What We’re Looking For

• 10+ years of backend engineering experience (REST APIs, microservices, OO enterprise architecture).
• 3+ years of experience building AI/ML solutions (LLMs, RAG, OpenAI API).
• Strong hands-on Python expertise and object-oriented design patterns.
• Hands-on experience with Langchain, Lambda, Docker, and secure system integrations.
• Proven track record delivering production-ready, scalable applications.

The Risk team is responsible for overall risk framework and strategy for the organization. The team develops various risk models, arrives at various sector reports from a risk perspective and provides in depth analysis and recommendation around risk profiles of various clients.

In this role, the person is responsible for playing a leadership role in the Risk function to identify, assess, monitor and make timely and measured judgments on all current and potential future risks faced, in order to protect the organization’s interest, assets and reputation of the group along with growing shareholder value and profitability.

Responsibilities

• Manage risk for the retail and wholesale portfolio. Should have managed organization level Risk Policies, Credit Underwriting and Collection functions.
• Manage risk framework for the organization - including updating, establishing new risk management mechanisms, to identify, assess, monitor, measure and control a broad spectrum of risks. Ensure all policies and frameworks are kept updated and deployed to the optimum level.
• Develop continuous monitoring and improvement of the quality of the organization's credit and lending portfolio through credit policy direction and implementation.
• Possess a complete understanding the business. Evaluate, improve, and monitor the business, including assisting in reporting to the Board and Board Committees and providing leadership in the effectiveness of credit risk management controls, systems, and processes across the organization.
• Lead and mentor a team of analysts.

• Possess 7+ years of relevant experience in financial services industry in a risk role.
• Exposure to both wholesale and retail risk in a banking environment will be preferred. Some experience in a business / sales role within the banking / NBFC space will be an added advantage.
• Should have held a position of authority in terms of allocation and appropriating limits.
• Sector understanding in financial institution space and good knowledge of interpreting financial trends.
• High proficiency in Python and SQL/NoSQL.
• Experience with big data and cloud computing e.g., PySpark, data lake is a plus.
• Outstanding written, verbal and interpersonal communication skills.
• Ability to speak at various levels of an organization (CXOs to analysts).
• Have demonstrated resilience – stayed with companies and taking businesses to scale, have preferably not ‘hopped jobs. Strong organizational skills and excellent follow-through.
• Present / articulate / position an idea compellingly and ability to work in a fast-paced dynamic environment.
• Excellent communication and presentation skills.
• Takes personal ownership; Self-starter; Ability to drive projects with minimal guidance and focus on high impact work.
• Learns continuously; Seeks out knowledge, ideas and feedback.

GREETINGS FROM CODEMANTRA !!!

EXCELLENT OPPORTUNITY FOR DATA SCIENCE/AI AND ML ARCHITECT !!!

Skills and Qualifications

*Strong Hands-on experience in Python Programming

*** Working experience with Computer Vision models - Object Detection Model, Image Classification

* Good experience in feature extraction, feature selection techniques and transfer learning

* Working Experience in building deep learning NLP Models for text classification, image analytics-CNN,RNN,LSTM.

* Working Experience in any of the AWS/GCP cloud platforms, exposure in fetching data from various sources.

* Good experience in exploratory data analysis, data visualisation, and other data pre-processing techniques.

* Knowledge in any one of the DL frameworks like Tensorflow, Pytorch, Keras, Caffe Good knowledge in statistics, distribution of data and in supervised and unsupervised machine learning algorithms.

* Exposure to OpenCV Familiarity with GPUs + CUDA Experience with NVIDIA software for cluster management and provisioning such as nvsm, dcgm and DeepOps.

* We are looking for a candidate with 9+ years of relevant experience , who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools: *Experience with big data tools: Hadoop, Spark, Kafka, etc.
*Experience with AWS cloud services: EC2, RDS, AWS-Sagemaker(Added advantage)
*Experience with object-oriented/object function scripting languages in any: Python, Java, C++, Scala, etc.

Responsibilities
*Selecting features, building and optimizing classifiers using machine learning techniques
*Data mining using state-of-the-art methods
*Enhancing data collection procedures to include information that is relevant for building analytic systems
*Processing, cleansing, and verifying the integrity of data used for analysis
*Creating automated anomaly detection systems and constant tracking of its performance
*Assemble large, complex data sets that meet functional / non-functional business requirements.
*Secure and manage when needed GPU cluster resources for events
*Write comprehensive internal feedback reports and find opportunities for improvements
*Manage GPU instances/machines to increase the performance and efficiency of the ML/DL model

Regards