AI/ML / Gen AI Engineer

Role & Responsibilities

• Lead enterprise-scale implementation of data warehouse data platforms on Databricks and Snowflake environments.
• Design and implement Medallion (Bronze/Silver/Gold) architecture and scalable enterprise data models.
• Establish data modeling standards (dimensional, data vault, lakehouse patterns) and ensure best practices across projects
• Establish enterprise data governance frameworks including cataloging, lineage, stewardship, and compliance using Atlan.
• Define and implement CI/CD pipelines for infrastructure and data platform deployments
• Design data architectures that support AI/ML and Generative AI workloads including vector storage, feature layers, and secure access patterns.
• Build scalable ingestion frameworks supporting batch, streaming, and CDC pipelines.
• Architect secure, high-performance data integration layers for analytics, BI, and AI consumption.
• Develop target-state architecture blueprints and enforce data standards, governance, and best practices across teams.
• Collaborate with engineering, analytics, and data science teams to ensure platform alignment and scalability.
• Engage with clients as a trusted advisor, driving data strategy, roadmap definition, and identifying opportunities for expansion.

Ideal Candidate

• Strong Databricks / AWS Data Architect profile
• Mandatory (Experience 1) – Must have minimum 8+ years of experience in Data Architecture / Data Engineering, with exposure in enterprise-scale data platform modernization initiatives
• Mandatory (Experience 2) – Must have minimum 3+ years of deep hands-on experience in Databricks-based lakehouse architecture on AWS, including large-scale data platform implementations
• Mandatory (Experience 3) – Strong expertise in Databricks ecosystem including Delta Lake, Databricks SQL, Unity Catalog, Delta Live Tables, and MLflow with focus on performance optimization and security
• Mandatory (Experience 4) – Strong experience with AWS data services including S3, Glue, EMR, Lambda, Redshift, Athena, Lake Formation, and DMS, with strong understanding of cloud-native architecture patterns
• Mandatory (Experience 5) – Proven experience designing and implementing Medallion (Bronze/Silver/Gold) architecture, scalable data models (Dimensional/Data Vault), and enterprise lakehouse platforms supporting batch and real-time processing
• Mandatory (Experience 6) – Must have hands-on experience building scalable ingestion frameworks including batch, streaming, and CDC pipelines using tools like Kafka, Kinesis, Spark, or similar technologies
• Mandatory (Skill 1) – Proven experience implementing CI/CD pipelines for data platforms, including infrastructure as code, automated deployments, and environment management
• Mandatory (Skill 2) – Hands-on experience enabling data platforms for AI/ML and Generative AI use cases, including feature stores, vector storage, and secure data access patterns
• Mandatory (Skill 3) – Experience with orchestration tools such as Apache Airflow or MWAA and designing integration layers for analytics, BI, and AI consumption
• Preferred (Company) – Product Companies.
• Preferred (Certification) – AWS / Databricks / Snowflake certifications; experience with Snowflake alongside Databricks; exposure to MDM, data quality frameworks, and enterprise metadata tools

Job Description

🚀 Job Title : Principal Officer – Compliance (Crypto Exchange + FIU)

Experience : 4+ Years

Location : Anywhere in India (Preferred : Delhi / Gurgaon)

Working Days : 5 Days

🛠️Mandatory Requirement (Strict) :

We are strictly looking for candidates who :

• Have worked with a Centralized Crypto Exchange (CEX)
• Have hands-on experience dealing with FIU-IND
• Have direct experience in FIU reporting (STR, CTR, etc.) under PMLA and
• Proven expertise in AML/CFT compliance and regulatory audits.

✅ Mandatory & Required Skills :

• Experience with Centralized Crypto Exchange (CEX).
• Hands-on FIU-IND Reporting (STR, CTR, SAR) under PMLA.
• Strong knowledge of AML/CFT regulations and compliance frameworks.
• Experience in regulatory audits, inspections, and reporting.
• Expertise in KYC, CDD, EDD processes.
• Proficiency in transaction monitoring and suspicious activity investigation.
• Experience in fraud risk management and financial crime prevention.
• Strong understanding of PMLA (Prevention of Money Laundering Act, India).
• Experience with sanctions screening and compliance tools.
• Ability to handle regulatory queries and law enforcement coordination.
• Strong risk assessment & internal controls implementation.
• Excellent analytical and investigative skills.
• Strong documentation, reporting, and communication skills.
• High level of ownership, integrity, and regulatory accountability.

Role Overview :

We are seeking a skilled and proactive Principal Officer – Compliance to lead AML, CFT, fraud prevention, and enterprise risk management functions for crypto operations in India.

The role will be responsible for ensuring compliance with the Prevention of Money Laundering Act (PMLA), 2002, and managing reporting obligations with FIU-IND, while strengthening the compliance framework for digital asset operations.

Key Responsibilities :

1. Regulatory & AML Oversight :

• Act as the designated Principal Officer under PMLA and FIU-IND guidelines.
• Ensure timely filing of STRs, CTRs, and regulatory reports with FIU-IND.
• Serve as the primary point of contact for regulators, auditors, and law enforcement.
• Track and implement regulatory updates in crypto, AML/CFT frameworks.
• Handle regulatory inspections, audits, and queries.

2. Compliance Framework & Risk Management :

• Develop and enhance AML/CFT policies, procedures, and controls.
• Conduct enterprise-wide risk assessments (AML, fraud, operational risks).
• Oversee KYC, CDD, EDD, transaction monitoring, and sanctions screening.
• Investigate suspicious transactions and prepare STR filings.
• Maintain PMLA records and audit-ready documentation.

3. Fraud Management & Controls :

• Design fraud detection and prevention mechanisms for crypto transactions.
• Investigate fraud incidents and compliance breaches.
• Strengthen internal control frameworks to mitigate financial crime risks.

4. Governance & Reporting :

• Prepare board-level compliance reports.
• Conduct internal audits and compliance testing.
• Manage regulatory complaint handling and escalations.
• Ensure policies and disclosures remain up-to-date and compliant.

5. Stakeholder Management & Culture :

• Engage with regulators and licensing authorities.
• Collaborate with product, tech, operations, and legal teams.
• Drive a compliance-first culture through training programs.
• Evaluate and onboard compliance tools and monitoring systems.

Required Qualifications :

• Bachelor’s or Master’s degree in Law, Finance, Business, or related field.
• ACAMS (CAMS) or equivalent AML certification (Preferred).
• 4–5 years of experience in AML/Compliance/Fraud Risk.
• Must have worked in a Centralized Crypto Exchange environment.
• Strong experience in FIU-IND reporting and regulatory audits.

Key Skills & Competencies :

• Strong knowledge of AML/CFT regulations and crypto compliance.
• Hands-on experience with transaction monitoring systems.
• Excellent analytical and investigative skills.
• Strong communication and stakeholder management.
• High level of integrity, ownership, and accountability.

💡 Ideal Candidate Profile :

• Has end-to-end FIU reporting experience.
• Comes from crypto exchange / fintech dealing with digital assets.
• Comfortable handling regulatory pressure and audits independently.

About UNIPREP

UNIPREP is a Dubai-headquartered Employability, Career Support & Hiring Platform supporting students, professionals, institutes, and businesses through career growth, hiring support, and employability solutions.

We are expanding our Regional Partner Network across multiple locations to build long-term business growth and student career opportunities together.

Role: Regional Partner

Work Mode: Remote / Flexible

Location: Open to All Regions

Type: Partnership / Business Opportunity

Key Responsibilities

• Promote UNIPREP partnership opportunities in your region
• Connect with institutes, coaching centers, training centers, and business networks
• Generate and manage leads for UNIPREP programs and partnerships
• Coordinate meetings and business discussions with interested organizations
• Support onboarding of institutes and regional business partners
• Build long-term relationships with educational and business communities
• Work closely with the UNIPREP team for sales closures and expansion activities

Who Can Apply?

• Individuals running their own business
• Training center owners
• Coaching institute owners
• Education consultants
• Business development professionals
• Freelancers & entrepreneurs
• Working professionals looking for additional income
• Students with strong networking skills
• Anyone interested in business growth and partnerships

What UNIPREP Provides

• Complete sales closure support
• Marketing & promotional support
• Training & business guidance
• Strong brand and operational support
• Access to high-growth opportunities
• Dedicated coordination support from the UNIPREP team

Why Join UNIPREP?

• Work with a growing global platform
• Opportunity to build regional business presence
• Flexible remote working model
• High revenue growth potential
• Long-term partnership opportunity
• Expand your professional network and business reach

Preferred Skills

• Good communication and networking skills
• Basic business understanding
• Confidence in approaching institutes or businesses
• Passion for growth, partnerships, and business development

Criteria

Mandatory

Strong Dremio / Lakehouse Data Architect profile

Mandatory (Experience 1) – 5+ years of experience in Data Architecture / Data Engineering, with minimum 3+ years hands-on in Dremio

Mandatory (Experience 2) – Strong expertise in SQL optimization, data modeling, query performance tuning, and designing analytical schemas for large-scale systems

Mandatory (Technical Skills 1) – Deep experience with cloud object storage (S3 / ADLS / GCS) and file formats such as Parquet, Delta, Iceberg along with distributed query planning concepts

Mandatory (Technical Skills 2) – Hands-on experience integrating data via APIs, JDBC, Delta/Parquet, object storage, and coordinating with data engineering pipelines (Airflow, DBT, Kafka, Spark, etc.)

Mandatory (Architecture) – Proven experience designing and implementing lakehouse architecture including ingestion, curation, semantic modeling, reflections/caching optimization, and enabling governed analytics

Mandatory (Governance) – Strong understanding of data governance, lineage, RBAC-based access control, and enterprise security best practices

Mandatory (Stakeholder Management) – Excellent communication skills with ability to work closely with BI, data science, and engineering teams; strong documentation discipline

Mandatory (Company) – Candidates must come from enterprise data modernization, cloud-native, or analytics-driven companies

Position: Area sales Manager – Laminates/Sunmica

Locations: Bangalore, Ranchi,Rajasthan, Gujarat (Ahmedabad, Vadodara), Uttar Pradesh (Lucknow, Varanasi, Aligarh), Delhi, Jaipur

Experience: 8+ Years in Laminates/Sunmica Sales

Industry: Building Materials / Interior Products / Laminates & Decorative Surfaces

Key Responsibilities:

• Identify, develop, and manage new business opportunities in the Laminates/Sunmica market.
• Build and strengthen relationships with dealers, distributors across assigned territories.
• Plan and execute sales strategies to achieve monthly and quarterly targets.
• Conduct regular market visits in Gujarat, Rajasthan, Delhi, and UP to expand dealer/distributor network.
• Monitor competitor activities, pricing, and marketing strategies.
• Ensure effective order fulfillment, payment follow-up, and after-sales support.
• Collaborate with the marketing and product teams to align customer feedback with product offerings.

Key Requirements:

• Minimum 8 years of experience in business development/sales of laminates, sunmica.
• Proven success in managing territory sales and dealer/distributor development in the listed regions.
• Strong contacts and network in trade channels (distributors/retailers).
• Excellent communication, negotiation, and interpersonal skills.
• Willingness to travel extensively within the assigned states/cities.

Mail updated resume with current salary-

Email: etalenthire[at]gmail[dot]com

Satish: 88O 27 49 743

Website: www.glansolutions.com

Who Are We

A research-oriented company with expertise in computer vision and artificial intelligence, at its core, Orbo is a comprehensive platform of AI-based visual enhancement stack. This way, companies can find a suitable product as per their need where deep learning powered technology can automatically improve their Imagery.

ORBO's solutions are helping BFSI, beauty and personal care digital transformation and Ecommerce image retouching industries in multiple ways.

WHY US

• Join top AI company
• Grow with your best companions
• Continuous pursuit of excellence, equality, respect
• Competitive compensation and benefits

You'll be a part of the core team and will be working directly with the founders in building and iterating upon the core products that make cameras intelligent and images more informative.

To learn more about how we work, please check out

https://www.orbo.ai/.

Description:

We are looking for a computer vision engineer to lead our team in developing a factory floor analytics SaaS product. This would be a fast-paced role and the person will get an opportunity to develop an industrial grade solution from concept to deployment.

Responsibilities:

• Research and develop computer vision solutions for industries (BFSI, Beauty and personal care, E-commerce, Defence etc.)
• Lead a team of ML engineers in developing an industrial AI product from scratch
• Setup end-end Deep Learning pipeline for data ingestion, preparation, model training, validation and deployment
• Tune the models to achieve high accuracy rates and minimum latency
• Deploying developed computer vision models on edge devices after optimization to meet customer requirements

Requirements:

• Bachelor’s degree
• Understanding about depth and breadth of computer vision and deep learning algorithms.
• 4+ years of industrial experience in computer vision and/or deep learning
• Experience in taking an AI product from scratch to commercial deployment.
• Experience in Image enhancement, object detection, image segmentation, image classification algorithms
• Experience in deployment with OpenVINO, ONNXruntime and TensorRT
• Experience in deploying computer vision solutions on edge devices such as Intel Movidius and Nvidia Jetson
• Experience with any machine/deep learning frameworks like Tensorflow, and PyTorch.
• Proficient understanding of code versioning tools, such as Git

Our perfect candidate is someone that:

• is proactive and an independent problem solver
• is a constant learner. We are a fast growing start-up. We want you to grow with us!
• is a team player and good communicator

What We Offer:

• You will have fun working with a fast-paced team on a product that can impact the business model of E-commerce and BFSI industries. As the team is small, you will easily be able to see a direct impact of what you build on our customers (Trust us - it is extremely fulfilling!)
• You will be in charge of what you build and be an integral part of the product development process
• Technical and financial growth!

Job Description :-

• Have intermediate/advanced knowledge of Python.
• Hands-on experience with OOP in Python. Flask/Django framework, ORM with MySQL, MongoDB is a plus.
• Must have experience of writing shell scripts and configuration files. Should be proficient in bash.
• Should have excellent Linux administration capabilities.
• Working experience of SCM. Git is preferred.
• Should have knowledge of the basics of networking in Linux, and computer networks in general.
• Experience in engineering practices such as code refactoring, design patterns, design driven development, Continuous Integration.
• Understanding of Architecture of OpenStack/Kubernetes and good knowledge of standard client interfaces is a plus.
• Code contributed to OpenStack/Kubernetes community will be plus.
• Understanding of NFV and SDN domain will be plus.