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Responsibilities

• Oversee sales and business development strategy, processes, structure, and best practices company-wide.
• Research and identify new business opportunities, such as entering new markets, developing growth areas, following trends, acquiring new customers, forming partnerships, and offering new services.
• Maintain working relationships with existing clients to ensure exceptional service and manage sales cycle to close new business in all service categories offered.
• Drive negotiations, pricing, and execution of channel partnerships, proactive bids, and proposals using business value analysis.
• Demonstrates market expertise and a deep understanding of target customers’ demographics to steer customer decisions toward the company’s solutions and products.
• Create & articulate compelling value propositions for Asharami Innovations’ services, shaping messaging and positioning across owned, earned, and paid media.
• Achieve sales goals by assessing current client needs and following a defined selling process with potential buyers, often utilizing product demos and presentations.
• Utilizes insights from market research to inform strategy and direction and receives feedback from customers for product and service improvement.
• Conducts post-sales engagement by visiting customers to discuss service enhancement.
• Collaborate with team members and external partners for content development and deployment.
• Manage, track, and analyze key metrics to monitor marketing campaigns KPIs for customer traffic and acquisition, Ad performance, and create strategies for improvement.

Employment Type: Contract

Requirements 

• 4+ years of experience in a B2B and/or B2C Sales and Marketing role especially in Fintech or E-commerce
• Excellent communication, interpersonal, problem-solving, presentation, and organizational skills
• Highly skilled at sales, people management, and business development and the ability to inspire a team of like-minded go-getters to achieve goals.
• Excellent interpersonal skills, ability to negotiate and develop rapport with clients and partner.
• Proven track record in B2B sales and negotiation. Highly motivated and target driven.
• Personal integrity and professionalism
• Proficiency in MS Office, Content Writing, and CRM software
• Experience with service pricing and negotiations.
• With experience in creating and executing successful digital and offline marketing campaigns, I leverage both qualitative and quantitative data and feedback.

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Responsibilities

• Design, develop, and maintain our data infrastructure, including data pipelines, databases, data warehouses, and data lakes, with a specific focus on financial services applications.
• Collaborate closely with data scientists, financial analysts, and other stakeholders to gather and analyze data requirements for AI projects, ensuring the availability, quality, and relevance of financial data.
• Implement scalable and efficient data processing and integration solutions to support AI model development and deployment, specifically tailored for financial services use cases.
• Build and optimize AI data models, ensuring data integrity, accuracy, and compliance with regulatory requirements and financial industry standards.
• Work closely with cross-functional teams to identify and integrate external financial data sources, such as market data feeds, transaction data, and economic indicators, for training and enhancing AI models.
• Implement data governance practices and adhere to data security and privacy regulations, particularly within the financial services context.
• Troubleshoot and resolve AI data-related issues, such as performance bottlenecks, data quality problems, and model performance discrepancies, with a strong focus on financial domain challenges.
• Monitor and maintain AI data systems to ensure their availability, reliability, and performance, and proactively implement necessary optimizations and improvements.
• Stay up to date with the latest trends and advancements in AI, machine learning, and financial technologies, and apply them to continuously improve our AI data infrastructure and processes.

Employment Type: Contract

• This is a hybrid position.
• The ideal candidate will have a self-starter attitude with high ownership, self-motivation, and accountability.

Skills & Qualifications

• Bachelor’s degree in computer science, Information Systems, or a related field. A master’s degree specializing in AI, machine learning, or Finance is highly preferred.
• Proven experience as an AI Data Engineer or in a similar role, with a focus on financial services and AI applications.
• Strong programming skills in languages such as Python, Java, or Scala, with experience in developing AI and machine learning models in the financial domain.
• In-depth knowledge of AI and machine learning concepts and techniques, particularly as applied to financial services, including risk modeling, fraud detection, algorithmic trading, or credit scoring.
• Experience with AI frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn) and familiarity with AI model development workflows within financial services.
• Proficiency in SQL and hands-on experience with relational databases (e.g., MySQL, PostgreSQL), specifically in the context of financial data management and analytics.
• Familiarity with cloud platforms such as AWS, Azure, or GCP, and experience with related AI and machine learning services (e.g., AWS SageMaker, Azure ML) within the financial industry.
• Strong understanding of data modeling and data warehousing concepts, with a focus on financial data structures and reporting requirements.
• Experience with big data technologies (e.g., Hadoop, Spark) and NoSQL databases (e.g., MongoDB, Cassandra) is a plus.
• Excellent analytical and problem-solving skills, with the ability to work with large and complex financial datasets.
• Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.
• Attention to detail and a commitment to delivering high-quality.

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