Digital Marketing Specialist

About the company

KPMG International Limited, commonly known as KPMG, is one of the largest professional services networks in the world, recognized as one of the "Big Four" accounting firms alongside Deloitte, PricewaterhouseCoopers (PwC), and Ernst & Young (EY). KPMG provides a comprehensive range of professional services primarily focused on three core areas: Audit and Assurance, Tax Services, and Advisory Services. Their Audit and Assurance services include financial statement audits, regulatory audits, and other assurance services. The Tax Services cover various aspects such as corporate tax, indirect tax, international tax, and transfer pricing. Meanwhile, their Advisory Services encompass management consulting, risk consulting, deal advisory, and other related services.

Form link for quicker response:https://forms.gle/HdQPqyWCirDUEgMv5

Job Description

Positions: Chief Compliance Officer (CCO)/ Money Laundering Reporting Officer (MLRO)

Education Qualification: 

1. Degree in finance, accounting, business administration, economics, law, or criminology
2. Certified Anti-Money Laundering Specialist (CAMS), Certified Fraud Examiner (CFE), or Certified Compliance Officer (CCO)

Experience: 12-14 years

Location:  Pan India with potential requirement to travel to the middle east

Employment Type:  contract for 6-12 months (Hybrid)

Responsibilities:

Regulatory Compliance: 

1. Ensure adherence to QFCRA regulations and other applicable laws. Keep policies updated with regulatory changes.
2. Compliance Program: Design and maintain the firm’s compliance program, covering operational, legal, and risk requirements.
3. Risk Management: Conduct risk assessments and develop strategies to mitigate compliance risks.
4. Training: Provide ongoing compliance training to staff and senior management.
5. Reporting & Auditing: Conduct internal audits and report findings to management and regulators.
6. Liaison: Act as the main contact with QFCRA and other regulatory bodies.
7. Incident Management: Investigate compliance breaches and take corrective actions.
8. Provide support for cross border activities including jurisdictions where marketing materials and funds are being distributed

Money Laundering:

1. AML Program: Implement and manage the firm’s Anti-Money Laundering and Anti-Terrorist Financing program.
2. KYC & Monitoring: Oversee KYC and ongoing transaction monitoring, ensuring compliance with AML rules.
3. Suspicious Activity Reporting: Identify and report suspicious transactions 
4. Staff Training: Ensure regular AML/CTF training for employees.
5. Regulatory Liaison: Communicate with QFCRA on all AML/CTF-related matters.
6. Audit & Testing: Conduct regular AML compliance audits and implement corrective measures where necessary.

Education:

•Bachelor’s degree in Computer Science, IT Infrastructure Engineering, or a related field

•Certifications in cloud computing (AWS, Azure, GCP), MLOps, or DevOps (preferred)

Experience:

•8+ years of experience in IT Infrastructure, Cloud Computing, or AI Systems Architecture

•Hands on experience in AI infrastructure design, cloud-based AI solutions, or MLOps

•Expertise in managing AI workloads across cloud and hybrid environments.

•Proven track record in scaling AI infrastructure for large enterprises

•Strong experience in Kubernetes, containerization, and orchestration tools

•Experience in optimizing AI workloads for performance and cost efficiency

Skills :

•Expertise in AI Infrastructure & Cloud Architecture

•Strong Understanding of AI Model Deployment & MLOps

•Advanced Proficiency in Kubernetes & AI Workload Orchestration

•Hands-on Experience with Cloud Platforms (AWS, Azure, GCP)

•Proficiency in Infrastructure as Code (Terraform, Ansible)

•AI Security & Compliance Knowledge

•AI Infrastructure Cost Optimization Strategies

•Performance Tuning for AI Systems & Workloads

Role Overview

We are seeking a highly skilled and innovative AI Engineer to join our dynamic team. In this role, you will design, develop, and deploy cutting-edge artificial intelligence (AI) solutions, leveraging advanced machine learning (ML) techniques and AI frameworks to address complex business challenges. You will work closely with cross-functional teams to build intelligent systems and drive innovation, with a focus on implementing and optimizing modern AI technologies such as Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI Agents.

Key Responsibilities

AI Model Development

• Design, develop, and optimize AI solutions, including LLMs, RAG architectures, and Graph-based RAG systems, tailored to specific business needs.
• Develop and fine-tune models for tasks such as Natural Language Processing (NLP), Computer Vision, and Reinforcement Learning (RL).

Prompt Engineering and AI Agents

• Work with prompt optimization to enhance LLM-based responses for specific use cases.
• Develop autonomous AI agents capable of completing multi-step tasks with minimal human intervention.

Data Processing and Management

• Collect, clean, preprocess, and organize datasets for effective AI and ML model training and evaluation.
• Leverage graph databases and vector stores for efficient data retrieval in AI-driven systems.

Algorithm Selection and Optimization

• Choose and implement appropriate algorithms, considering constraints such as scalability, interpretability, and real-time deployment requirements.
• Conduct hyperparameter tuning and optimization experiments to maximize model efficiency and accuracy.

Deployment and Integration

• Deploy AI/ML models in production-grade environments, ensuring scalability, reliability, and seamless integration with existing systems.
• Implement model monitoring pipelines to ensure performance consistency over time.

Research and Development

• Stay abreast of the latest trends and advancements in AI and ML technologies, such as transformer architectures, diffusion models, and multi-modal AI.
• Experiment with emerging tools like LangChain, Hugging Face, and OpenAI APIs to innovate solutions.

Collaboration and Knowledge Sharing

• Work closely with data scientists, software engineers, and product managers to define project requirements and deliver impactful AI solutions.
• Document workflows, processes, and findings to enable knowledge sharing and continuity across teams.

Required Qualifications

Education

• Bachelor’s or Master’s degree in Computer Science, AI, Data Science, Engineering, Mathematics, or a related field.

Experience

• Minimum 3+ years in AI/ML roles with a proven track record in building and deploying AI-driven solutions.

Technical Proficiency

• Proficiency in Python and AI/ML frameworks like TensorFlow, PyTorch, scikit-learn, or Keras.
• Experience working with LLMs, transformers, and generative AI tools.
• Familiarity with cloud platforms such as AWS, Google Cloud, or Azure, including AI-focused services like SageMaker and Vertex AI.
• Knowledge of vector databases (e.g., Pinecone, Milvus, Weaviate) and graph databases for RAG systems.

Analytical Expertise

• Strong understanding of advanced statistical methods, mathematical concepts, and probabilistic models.
• Ability to analyze and interpret data for actionable insights and model improvements.

Soft Skills

• Exceptional problem-solving and critical-thinking abilities.
• Strong communication skills to effectively collaborate with cross-functional teams.
• Adaptability to a fast-paced, innovation-driven environment.

Preferred Qualifications

• Hands-on experience with LangChain, Hugging Face Transformers, or OpenAI API integrations.
• Expertise in specialized AI domains like multi-modal learning, conversational AI, and prompt engineering.
• Contributions to open-source AI projects or publications in recognized AI/ML conferences or journals.
• Familiarity with deploying AI Agents in production systems.

What We Offer

• Competitive Compensation & Benefits aligned with your experience and the impact you bring.
• Opportunity for Growth in a rapidly expanding B2B SaaS company.
• Cutting-Edge Technology & Projects in the WhatsApp Business API and Click to WhatsApp Ads space.
• Collaborative Work Environment that fosters innovation, learning, and career development.
• Flexible & Inclusive Culture, where every team member has a voice and the chance to make a significant impact.

Job Description

Cateina Technologies is looking for a Java Developer, to build a solid team of passionate developers. As a prerequisite, the candidate should have 4+ years of sound programming knowledge and experience mainly in Java and also in the below-mentioned skills, and be willing to work with niche next-gen technologies.

Location: Mumbai

Job Opening: 1

Primary Focused on Java and Spring Boot, Microservice, and Hibernate.

Technical Skills:

• Java
• Spring, Springboot
• MySQL, Postgres SQL, Microservice
• Preference will be given to Jboss/ Camel/ Mule, Quarkus, JMS, MQ, Kafka
• Open API spec 2.0, 3.0
• Design, develop, and maintain robust RESTful APIs and web applications.
• Utilize the JSP framework and Spring Boot for application development.
• Ensure smooth communication using JSON and XML for REST services.
• Write efficient and optimized Oracle queries for database interactions.
• Implement authentication and security measures for application servers and APIs.
• Apply techniques for data integrity, hashing, and encryption.
• Collaborate with cross-functional teams to migrate microservices as needed.
• 
  

Required Skills:

• Proficiency in Java development, particularly with JDK 1.8.
• Strong expertise in RESTful API services.
• Hands-on experience with JSON and XML communication.
• Solid understanding of application server management and API security practices.
• Ability to write and optimize Oracle queries.
• Experience in authentication mechanisms and security best practices.
• Knowledge of data integrity, hashing, and encryption techniques.
• 
  

Other Additional Skills:

• Strong communication skills both written and verbal 
• Enthusiastic, Creative, and flexible
• Organized, with an ability to prioritize time-sensitive assignments
• Capable of working both independently and in a team environment
• Should have prior team handling experience
• Professional with work ethics
• Completed any degree.

Who can apply 

Candidates who:

• have the relevant skills and interests
• Stays in Mumbai or ready to re-locate

Office Location 

Cateina Technologies 

126, First Floor, 

Shivkrupa Industrial Estate, 

Lal Bahadur Shastri Rd, 

Vikhroli (West), 

Mumbai, Maharashtra 400083 

Please go through our website www.cateina.com and read about what we do before coming to an interview

CASEY GALAXY INDIA PVT LTD. – A premier organization of Eastern India is involved in various segment of consumer interest. We are hiring experienced and versatile candidates for the position of Business Development Manager to execute marketing strategy, policy and ethics in the market.

RESPONSIBILITIES: As a Business Development Manager working under the FMCG segment, an ideal candidate must perform the following responsibilities:

 Approaching potential leads and close them within a stipulated time frame.

 Create exclusive distributors, exclusive Super Stockists and business associates for the company towards business growth.

 Look after the entire business growth of the exclusive distributor, super stockiest and business associate.

REQUIREMENTS:

 Bachelor’s degree in business, marketing or related field.

 Experience in sales, marketing or related field.

Job Description:

1. Design, implement and deliver custom solutions using the existing robotics framework.
2. Debug issues, do root-cause analysis and apply fixes.
3. Design and implement tools to facilitate application development and testing.
4. Participate in architectural improvements.
5. Work with team members in deployment and field testing.

Requirements:

1. Bachelor Degree / Masters in Engineering (ECE or CSE preferred)
2. Work experience of 3+ years in software programming.
3. Proficiency in Python programming for Linux based systems.
4. Full understanding of software engineering.
5. Basic Knowledge of Robot Operating System(ROS) is a plus.
6. Good understanding of the algorithms and control loops.
7. Working knowledge of Git: creating, merging branches, cherry-picking commits, examining the diff between two hashes. Advanced Git usage is a plus.
8. Knowledge of video streaming from edge devices is a plus.
9. Thrive in a fast-paced environment and have the ability to own the project’s tasks end-to-end with minimum hand-holding
10. Learn and adapt new technologies & skills. Work on projects independently with timely delivery & defect free approach.