MPDE CA Process Design Engineer(Senior Engineer)

Manufacturing Technician V (Senior Technician)

Staff Engineer - AI/ML

Human Resources Business Partner

Deputy Team Lead (VP1/2) – KYC / CDD / AML

SVP / FVP / VP - KYC Operations

Business Support Supervisor II

Director, Technical Services

Manager, Data Science (GNS)

Senior Data Scientist

Responsibilities: Process Solution Development: <ul><li>Design or optimize production process routes based on product design drawings (e.g., mechanical structures, electrical schematics), including raw material selection, process planning (e.g., cutting, wire pre-treatment, welding, forming, assembly, testing), equipment selection and parameter setting, and DOE development to ensure mass and stable production.</li><li>For new products (e.g., mechanical parts, electronic components), organize DFM reviews within the MPDE department, provide optimization suggestions from a manufacturability perspective, develop trial production process plans, participate in trial production, and resolve process issues (e.g., dimensional deviations, assembly difficulties, inefficiencies).</li></ul> Process Documentation: <ul><li>Prepare standardized process documents, such as SOPs, process flowcharts, PFMEA, and inspection standards, to clarify operational specifications and quality control points for each process, ensuring unified execution by production personnel.</li></ul> Production Efficiency and Quality Optimization: <ul><li>Analyze existing production processes, use lean production tools (e.g., 5S, value stream analysis) or technical improvements (e.g., introduction of automated equipment, process consolidation) to reduce production costs, shorten cycle times, and enhance capacity.</li><li>Collaborate with the quality department to investigate the causes of quality anomalies (e.g., excessive defect rates) from a process perspective (e.g., insufficient equipment precision, unreasonable process parameters), develop improvement measures, and validate their effectiveness through DOE.</li></ul> Cross-Department Collaboration: <ul><li>Work with R&amp;D departments, participate in product design reviews, provide suggestions from a process feasibility perspective (e.g., simplifying structures to reduce assembly difficulty), and promote Design for Manufacturability (DFM).</li><li>Communicate with supply chain departments to confirm the process compatibility of raw materials and assist in resolving process-related issues with purchased materials. Cooperate with production departments to train operators on new processes and equipment, ensuring successful implementation.</li><li>Collaborate closely with automation teams, participate in automation solution reviews, and develop validation methods.</li></ul> Technological Innovation and Cost Reduction: <ul><li>Stay updated on industry advancements (e.g., 3D printing, smart inspection equipment, laser welding), evaluate their applicability to existing production, and drive process upgrades. Achieve cost reduction through process optimization and the use of alternative low-cost materials (without compromising quality).</li></ul> Requirements: Education and Major: <ul><li>Bachelor’s degree or higher in Mechanical Engineering, Materials Science and Engineering, Industrial Engineering, Electrical Automation, or related fields.</li></ul> Knowledge and Skills: <ul><li>Mastery of fundamental manufacturing process principles (e.g., machining, electronic assembly, heat treatment) and familiarity with production processes in at least one industry (e.g., automotive parts, electronic devices, machinery manufacturing).</li><li>Strong process analysis skills, ability to interpret drawings using CAD/SolidWorks, and perform data analysis with tools like Minitab (e.g., analyzing defect rate causes).</li><li>Knowledge of quality and efficiency improvement methods such as Lean Production and Six Sigma; prior experience in process optimization projects is preferred.</li></ul> Experience Requirements: <ul><li>Typically requires 5+ years of experience in process development or production technical support in relevant industries; familiarity with high-speed cable equipment and process requirements is preferred.</li></ul>

Responsibilities: <ul><li>Perform evaluations and/or analyze unique problems that are new to equipment.</li><li>Perform predictive maintenance by analyzing routine failures and determining adjustments and repairs that need to be made.</li><li>Perform training as needed to Lower level Maintenance Techs on troubleshooting and repair techniques utilized with equipment</li><li>Perform specified preventative maintenance on production equipment to prevent equipment downtime.</li><li>Monitor equipment operations to ensure proper usage.</li><li>Construct and/or assemble new equipment</li><li>Troubleshoot equipment failures and repair as needed</li><li>Perform specified preventative maintenance on production equipment to prevent equipment down-time</li><li>Perform Lock Out / Tag Out requirements.</li><li>Work from blueprints, manuals, sketches and verbal instructions.</li><li>Help repairing on hydraulic, pneumatic and electromechanical systems.</li><li>Perform other duties as assigned or necessary to meet business conditions or changes.</li><li>Adheres to quality and safety systems or maintenance of quality and safety standards.</li></ul> Requirements: <ul><li>High school diploma or equivalent</li><li>5+ years experience in injection molding maintenance or extrusion, or mechanical, hydraulic, pneumatic and electrical repair</li></ul>

Role Description: <ul><li>As a Staff Engineer, you will play a pivotal role in shaping the future of Gen AI at our client by defining technical strategy, overseeing complex machine learning architectures, and ensuring seamless integration of Gen AI solutions into our platform and applications at scale.</li><li>You will mentor and guide a small engineering team while providing expertise in state-of-the-art AI/ML practices, ensuring a robust production pipeline and the professional management of models.&nbsp;</li></ul> Responsibilities: <ul><li>Help lead the technical strategy and execution for AI projects across the organization.</li><li>Designing, deploying, and managing the lifecycle of AI/ML models, including retraining and monitoring for continuous improvement within our solution.</li><li>Designing and driving Gen AI features on peta-byte scale datasets Driving innovation in NLP and other ML solutions, ensuring alignment with our client business goals. Architecting, developing and overseeing scalable, production-ready AI systems.</li><li>Providing technical mentorship to the AI/ML engineering team, fostering growth and collaboration.</li><li>Conducting in-depth research and staying abreast of advancements in Gen AI and deep learning technologies.</li><li>Collaborating with cross-functional teams, including Product, to evaluate business requirements and determine optimal AI solutions.</li><li>Reviewing code, offering best practices, and ensuring the delivery of high-quality solutions.&nbsp;</li><li>Representing our client technical excellence through publications, presentations, and participation in industry events.</li><li>Opportunity to work on cutting-edge AI projects at scale.</li></ul> Requirements: <ul><li>8+ years experience in managing large-scale datasets and distributed computing environments, with a preference for Google Cloud Platform expertise.</li><li>Java programming experience.</li><li>Experience with integration and deployment of AI/ML into production at scale within a SaaS solution.</li><li>Demonstrates independent thinking, capable of analyzing unique challenges, overcoming technical hurdles and delivering impactful AI solutions.</li><li>Hands-on experience with Generative AI techniques, including RAG pipelines, LLM fine-tuning, prompt engineering, and diffusion models.</li><li>Strong knowledge of generative AI frameworks and tools, such as Hugging Face, LangChain, or OpenAI APIs.</li><li>Experience in developing and scaling Generative AI solutions for NLP, vision, or multimodal tasks.</li><li>Advanced knowledge of modern AI frameworks, such as PyTorch, TensorFlow/Keras, Hugging Face Transformers, and JAX/Flax.</li><li>Expertise in Python, Docker, Kubernetes, and Helm.</li><li>Excellent communication skills, particularly in mentoring, knowledge sharing, and cross-team collaboration.</li><li>Willingness to be in office 3 days per week.</li></ul>

Responssibilities: Strategic HR Consulting: <ul><li>Partner with business leaders to develop and implement HR strategies aligned with business objectives.</li><li>Provide expert advice on talent management, organizational development, employee relations, and change management.&nbsp;</li></ul> Talent Management: <ul><li>Support the full employee lifecycle, from recruitment and onboarding to performance management, development, and succession planning.</li><li>You will leverage data analysis to identify talent gaps and develop solutions to address them.&nbsp;</li></ul> Employee Relations: <ul><li>Manage employee relations issues, ensuring a fair and consistent approach aligned with our client values.</li><li>Proactively identify and address potential conflicts. Project Management: Lead and/or support HR projects, ensuring timely and effective execution.</li><li>You will utilize project management methodologies to manage resources, track progress, and deliver results.&nbsp;</li></ul> Headcount &amp; Employee Cost Management: <ul><li>Partner with business leaders to manage headcount and employee costs effectively, ensuring alignment with budget constraints.&nbsp;</li></ul> Data Analysis &amp; Reporting: <ul><li>Analyze HR data to identify trends, measure the effectiveness of HR initiatives, and provide insights to inform decision-making.</li></ul> Business Acumen: <ul><li>Strong understanding of business operations and how HR contributes to organizational success.</li><li>Change Adoption Activation: Proven ability to lead and support organizational change initiatives.&nbsp;</li></ul> Data Analysis: <ul><li>Proficiency in analyzing HR data to identify trends, measure effectiveness, and improve processes.&nbsp;</li></ul> Project Management Literacy: <ul><li>Experience in managing HR projects using project management methodologies.&nbsp;</li></ul> HR Tools &amp; Processes: <ul><li>Experience with HR information systems (HRIS) and other HR technologies.&nbsp;</li><li>Knowledge of best practices in HR processes.&nbsp;</li></ul> Requirements: <ul><li>Skills &amp; Talent Assessment: Expertise in using various assessment methods to evaluate employees skills and competencies.&nbsp;</li><li>Talent Management: Experience in developing and implementing talent management strategies.&nbsp;</li><li>Headcount &amp; Employee Cost Management: Understanding of headcount planning and employee cost management principles.&nbsp;</li><li>People Development: Passion for developing employees skills and capabilities.&nbsp;</li><li>Stakeholder Management: Excellent communication and collaboration skills to build and maintain strong relationships with business leaders and other stakeholders.</li></ul>

Responsibilities: <ul><li>Support the Team Manager in undertaking joint ownership, accountability, and execution in overall AML CDD strategic program for the customer segments within Group Wholesale Banking&nbsp;</li><li>Consistently review &amp; work with key stakeholders to enhance work processes to achieve operations efficiency while ensuring consistent interpretation and implementation of Group Compliance AML/CFT policies and framework&nbsp;</li><li>Revise and update local SOP and workflow processes for operational efficiency and effectiveness&nbsp;</li><li>Conduct AFC related training to the team&nbsp;</li><li>Escalate and highlight potential concerns / risks and proactively share best risk management practices&nbsp;</li><li>Ensure agreed SLAs supported by the teams are met&nbsp;</li><li>Responsible for checking and signing off complex and high-risk customers due diligence profiles for all jurisdictions&nbsp;</li><li>Work with Group AFC Ops function to manage queries during External / Internal Audit, Group Compliance and Regulatory Audit for favourable review outcomes&nbsp;</li><li>Support and work with the KYC teams performing CDD fulfillment to meet with Bank and Regulatory requirements pertaining to customer’s life cycle with the Bank.&nbsp;</li><li>Focus on procedures and processes to enable the KYC teams to achieve monthly satisfactory score for Key Operational Risk Indicator (KORI) metrics&nbsp;</li><li>Provide oversight and steer to ensure alignment of bank’s management responsibility and principles for effective risk and controls and connectivity across the teams and with Group AFC Ops&nbsp;</li><li>Support Group AFC Ops in FACTCA and CRS reporting matters&nbsp;</li></ul> Requirements: <ul><li>At least 8 years of relevant experience in KYC / CDD.</li><li>A track record in risk and regulatory matters pertaining to know your customer (KYC) and financial crimes risks and typologies in ensuring customer due diligence is executed appropriately, with a clear thought process, rather than a tick box exercise&nbsp;</li><li>Experienced in analyzing and quantifying issues tied to AML CDD / transactions / activities surveillance.&nbsp;</li><li>To demonstrate relevant experience in the management of people and relationships via supervisory experiences.&nbsp;</li><li>Together with the Group AFC Ops (where applicable), support to advise senior stakeholders with a level of confidence, knowledge, and stature in the handling of customers’ due diligence requirements&nbsp;</li><li>Align thinking and behaviours that are in tandem with the Bank’s commitment against financial crimes, with the highest level of integrity and the ability to balance commercial objectives with the exercise of independent and prudent judgement&nbsp;</li><li>Certification as an AML specialist (e.g., CAMS / Diploma in AML) with a recognized institution will be an advantage</li><li>Proficient in Mandarin is an added advantage</li></ul>

Responsibilities: <ul><li>Support the Head AFC Ops (COE) in taking ownership, accountability, and execution in overall AML CDD strategic program for the Corporates &amp; Investment Banking segment.</li><li>Consistently review &amp; work with key stakeholders to enhance work processes to achieve operations efficiency while ensuring consistent interpretation and implementation of&nbsp;</li><li>Group Compliance AML/CFT policies and framework</li><li>Revise and update local SOP and workflow processes for operational efficiency and effectiveness</li><li>Provide timely management reporting and conduct AFC related training to the team</li><li>Highlight of potential concerns / risks and proactively share best risk management practices.</li><li>Ensure agreed SLAs supported by the teams are met</li><li>Responsible for checking and signing off complex and high-risk customers due diligence profiles for all jurisdictions</li><li>Work with Head AFC Ops (COE) and Group AFC Ops function to manage queries during External / Internal Audit, Group Compliance and Regulatory Audit for favourable review outcomes</li><li>Oversight and management of the KYC teams performing CDD fulfillments to meet with&nbsp;</li><li>Bank and Regulatory requirements pertaining to the customer’s life cycle with the Bank.</li><li>Focus on procedures and processes to enable the KYC teams to achieve monthly satisfactory score for Key Operational Risk Indicator (KORI) metrics</li><li>Provide oversight to ensure alignment of bank management responsibility and principles for effective risk and controls and connectivity across the teams and with Group AFC Ops</li><li>Manage business efficiency of Overseas Branch Entities via centralization platform by ensuring relevant policies and standards are continuously reviewed and updated to reflect relevant changes and best practice</li><li>Swift KYC Registry maintenance of Bank’s counterparties through the uploading of Bank’s information and responding to RFIs from counterparty Banks’</li><li>Support Group AFC Ops in FACTCA and CRS reporting matters</li></ul> Requirements: <ul><li>A strong track record in risk and regulatory matters pertaining to Know Your Customer (KYC) and financial crimes risks and typologies in ensuring customer due diligence is executed appropriately, with a clear thought process, rather than a tick box exercise.</li><li>At least 10 years of relevant experience in KYC / CDD.</li><li>Experienced in analyzing and quantifying complex strategic issues tied to AML CDD / transactions / activities surveillance.</li><li>To demonstrate relevant experience in the management of people and relationships via supervisory experiences and proven leadership ability. Including the skills to develop, coach and grow teams</li><li>Able to advise senior stakeholders with great skill and a level of confidence, knowledge and stature to provide advice in the handling of customers’ due diligence requirements</li><li>Strong at influencing thinking and behaviors that align with the Bank’s commitment to financial crimes, with the highest level of integrity and the ability to balance commercial objectives with the exercise of independent and prudent judgement</li><li>Certification as an AML specialist (e.g., CAMS / Diploma in AML) with a recognized institution will be an advantage</li></ul>

Responsibilities: Administrative Support: <ul><li>Provide administrative support to the Plant Manager, including calendar management, scheduling meetings, and arranging travel.</li><li>Prepare and manage correspondence, reports, presentations, and other documents as needed.</li><li>Manage the plant manager’s communications and act as a point of contact for both internal and external stakeholders.</li></ul> Document Management: <ul><li>Maintain and organize important plant records&nbsp;</li><li>Assist in the preparation and tracking of reports related to plant performance, operational costs, and production targets.</li><li>Ensure compliance with plant regulations and documentation standards.</li></ul> Coordination and Communication: <ul><li>Act as a liaison between departments ensures effective communication and smooth operations.</li><li>Coordinate plant-wide meetings, production schedules, and internal communications between staff and management.</li><li>Assist in the preparation and execution of plant meetings, taking minutes and ensuring follow-up on key action items.</li></ul> Data Analysis and Reporting: <ul><li>Assist in gathering, compiling, and analyzing plant performance data to help the Plant Manager&nbsp;</li><li>Prepare reports for the Plant Manager to track key performance indicators (KPIs), production performance, and safety metrics.</li></ul> Process Improvement: <ul><li>Assist with operational efficiency initiatives, providing administrative support to process improvement teams.</li><li>Help manage and track plant projects, ensuring they are completed on time and within budget.</li><li>Provide insights and suggestions to improve plant operations and reduce costs.</li></ul> Requirements: <ul><li>Bachelor’s degree in business administration, Management, or a related field.</li><li>Proven experience in administrative or business support roles, preferably in a manufacturing or industrial environment.</li><li>Strong organizational skills and the ability to prioritize multiple tasks.</li><li>Excellent communication skills (written and verbal).</li><li>Proficiency in Microsoft Office Suite (Excel, Word, PowerPoint).</li><li>Experience with data analysis and report generation is a plus.</li><li>Ability to work independently and as part of a team.</li></ul> Additional Skills: <ul><li>Knowledge of plant operations and manufacturing processes is advantageous.</li><li>Strong attention to detail and problem-solving skills.</li><li>Ability to handle confidential information with integrity.</li><li>Strong time-management skills and ability to meet deadlines</li></ul>

The RoleThis role entails enhancing the operational efficiency of all fleets across the nation, aiming to minimize downtime and maximize asset availability and utilization across all regions in&nbsp;the country. The individual in this position spearheads the translation of comprehensive business directives concerning fleet management into detailed operational strategies. Their&nbsp;primary focus is on executing fleet management projects aligned with the organizations needs and priorities. Managing, curbing, and offering transparency on fleet operational expenses&nbsp;and essential fleet management metrics. These metrics are instrumental in informing business decisions related to fleet acquisition, monitoring fleet operating conditions, and&nbsp;determining fleet disposal or conversion, aligning these actions with the overarching business directives. Key ResponsibilitiesStrategy and Leadership responsibilities&nbsp;• Formulate, assess, and execute fleet management strategies, guaranteeing team members comprehension and adherence to strategic objectives.&nbsp;• Establish and enforce vehicle operating standards to sustain fleets consistently across all regions.&nbsp;• Devise and implement strategies for cost control and reduction across various fleet types within the business.&nbsp;• Oversee the development and management of the companys fleet budget, ensuring alignment of all vehicle expenses with the allocated budget for the period.&nbsp;• Produce a monthly analysis report on vehicle performance, highlighting the significant contributions of all fleets and identifying necessary enhancements for asset optimization.&nbsp;• Provide leadership and management oversight to staff within the business unit, addressing grievances, disciplinary actions, performance capabilities, and absences effectively.&nbsp;• Drive personnel development initiatives and oversee the team to ensure the delivery of exceptional service standards.&nbsp;&nbsp; Vehicle Management &amp; Operational Responsibilities&nbsp;• Supervise vehicle repairs and ensure adherence to preventive maintenance plans.&nbsp;• Oversee the inventory of vehicle components, ensuring frequent checks and maintenance by assigned team members.&nbsp;• Manage team members to monitor vehicle registration, insurance, and timely renewal of all vehicle documentation.&nbsp;• Address systemic gaps and identified leakages during repair and maintenance periods.&nbsp;• Serve as the primary contact with the companys fleet insurers.&nbsp;• Manage processes for obtaining damage estimates and ensure prompt repairs to meet fleet availability targets.&nbsp;• Provide advice on fleet procurement and recommend disposal of obsolete vehicles in line with the asset life cycle.&nbsp;• Ensure vehicles adhere to approved guidelines, accurately record vehicle usage data, and report it to the business.&nbsp;• Ensure all assets are available as per operational requests by appropriately scheduling, forecasting, and analyzing current usage trends.&nbsp;• Offer visibility on monthly/quarterly diesel consumption, asset utilization, vehicle safety standards, and overall fleet status across different country locations.&nbsp;• Oversee the integration of new assets into the business and provide necessary instructions and training to fleet management operators to prevent accidents, injuries, and asset damage or misuse.&nbsp;• Manage the process of removing fleet assets from the organization, considering relevant factors to maximize returns on investment.&nbsp; Customer Responsibilities&nbsp;• Lead and guarantee continuous fleet availability, spearheading enhancements in customer experience and fostering improved relationships with fleet users.&nbsp;• Monitor performance against Service Level Agreements (SLAs) while effectively managing both internal and external expectations.&nbsp;• Forge robust partnerships with all fleet customer segments, ensuring that provided services, vehicles, and equipment meet the transportation and equipment needs of users across these segments.&nbsp;• Consistently manage critical key performance indices (e.g., fleet availability, performance, user satisfaction, and costs) to ensure the companys fleets consistently rank within the top quartile of comparable peer groups in the industry.&nbsp;• Serve as the foremost expert on all fleet-related matters for Operations Managers and other key internal and external stakeholders.&nbsp; Compliance and Safety Assurance&nbsp;• Ensure compliance with industry regulations, safety protocols, and quality standards in all technical operations.&nbsp;• Implement safety programs and measures to promote a safe working environment for employees and adherence to legal requirements.&nbsp; Budgeting and Resource Management&nbsp;• Develop and manage budgets for technical services, ensuring cost-effective utilization of resources.&nbsp;• Monitor expenditures, analyse variances, and identify cost-saving opportunities where applicable.&nbsp; Stakeholder Engagement and Collaboration&nbsp;• Collaborate with cross-functional teams including Operations, Procurement, and Management to achieve operational objectives.&nbsp;• Maintain relationships with external stakeholders, suppliers, regulatory bodies, and service providers.&nbsp; Technical Expertise and Innovation&nbsp;• Stay updated with industry advancements, technological innovations, and best practices in transportation technical services.&nbsp;• Introduce innovative technologies or methodologies to improve technical operations and service delivery.&nbsp; Risk Management and Crisis Response&nbsp;• Develop contingency plans and strategies to address potential risks or disruptions in technical services operations.• Coordinate responses to emergencies or critical incidents affecting technical aspects of transportation services&nbsp; Minimum RequirementsA degree/ diploma&nbsp;in Mechanical Engineering, Logistics/Transport Management or related discipline&nbsp;Minimum of 7-10 years’ experience in Fleet Management and the last three years should be in a management role • Transport and Logistics&nbsp;&nbsp;• Automobile Workshops and industry&nbsp;• Manufacturing&nbsp;• Proven track records of managing a large fleet size&nbsp;&nbsp;• Consistent achievement in the delivery of business mandates on fleet management&nbsp;• Experience in managing relationship with both internal and external stakeholders&nbsp; Knowledge&nbsp;• Fleet operations&nbsp;• Relevant legislation and statutory obligations relating to the operation of Fleet Transport&nbsp;&nbsp;• An understanding of health and safety issues affecting operational service&nbsp;• Financial monitoring and budgetary control&nbsp;• Able to comprehend and react appropriately to changing situations&nbsp;• Sound knowledge in vehicle maintenance scheduling&nbsp;• Extensive knowledge and experience with fleet support functions; including support services, and competitive business requirements&nbsp; Skills&nbsp;• Strong communication skills - You are an exceptional listener.&nbsp;You communicate clearly.&nbsp;You write exceptionally well, and you speak eloquently. You can explain just about anything to anyone.&nbsp;You’re comfortable on the phone or to groups of people – at any level.&nbsp;You are incredibly tactful&nbsp;when delivering the facts.&nbsp;&nbsp;&nbsp;• Problem solving - You enjoy solving problems.&nbsp;Getting to the root cause.&nbsp;You love taking on difficult challenges and finding creative, innovative solutions.&nbsp;You don’t get flustered easily.&nbsp;If you don’t know the answer, you’ll dig until you find it.&nbsp;• Detail oriented - You pay strong attention to the details as it is one of your core qualities.&nbsp;As far as you are concerned, anything worth doing is worth doing right, every single time.&nbsp;You stay focussed and nothing falls through the cracks on your watch.&nbsp;&nbsp;• Exceptional critical thinking skills - You can identify gaps in logic and underlying causes of issues; You think on your feet.&nbsp;You like learning new things, and you can learn quickly.&nbsp;&nbsp;• Strong collaborator - You can work independently because you self-manage, with limited direction and guidance, but you also enjoy collaborating across dynamic and multi-cultural teams and are personable, helpful, and incredibly organised.&nbsp;&nbsp;• Results oriented - You are proactive in handling competing priorities and meet your deadlines and commitments; you always demonstrate a “can do” positive attitude • Certified in Logistics, Transportation &amp; Distribution (CLTD)&nbsp;• Certified in Transportation &amp; Logistics (CILT)&nbsp;• Certified Supply Chain Professional (CSCP)&nbsp;• Possession of Project Management certification (PRINCE2, PMI etc)&nbsp;• Membership of recognized professional body&nbsp;&nbsp;

Responsibilities: <ul><li>Manage a team of data scientists and engineers to design, develop, and deploy advanced AI solutions.</li><li>Lead the development of AI and machine learning models to solve business problems.</li><li>Research, build, and deploy models based on shallow and deep machine learning.</li><li>Train robust NLP-based models on large datasets.</li><li>Collaborate with cross-functional teams to align AI solutions with business goals and customer needs.</li><li>Design APIs for disseminating data science outputs.</li><li>Oversee the scaling of production systems to meet growing demands.</li><li>Working closely with other data scientists and engineers to design, develop, and deploy AI solutions.</li><li>Analyzing large datasets to identify patterns and trends that can inform AI development.</li><li>Communicating findings and insights to stakeholders in a clear and concise manner.</li><li>Staying current with the latest AI and machine learning trends and technologies.</li><li>Mentoring junior data scientists and provide guidance on AI and machine learning best practices.</li><li>Driving best practices across our data science functions.</li><li>Setting strategy and team direction, with a clear vision for Data Science.</li><li>Working with product leaders to apply data science solutions.</li><li>Evaluating and creating new frameworks and defining methodologies and governance.</li><li>Leading small- to medium-sized teams (direct or indirect).</li><li>Setting a high-bar for model development.</li></ul> Requirements: <ul><li>Have substantial experience in a senior data scientist role.</li><li>Have experience in leading complex projects and customer relationships.</li><li>Have significant experience in managing larger Technical teams (direct or indirect).</li><li>Have experience in mentoring or training others, acting as a subject matter expert to guide colleagues.</li><li>Be a natural problem solver, able to take a lead in collaborating to resolve issues.</li><li>Have excellent communication skills and the ability to convey information clearly to senior stakeholders.</li></ul> Highly Desired Skills and Experience: <ul><li>PhD or Masters degree in Computer Science, Mathematics, Statistics, or a related field.</li><li>7-10+ years of experience in AI and machine learning.</li><li>Deep understanding of machine learning algorithms, including deep learning, gradient boosting, and random forests.</li><li>Experience working directly with large language models and Transformer based architectures including BERT, RoBERTa, T5 etc.</li><li>Working knowledge of applying recent LLMs including ChatGPT, GPT 3.5, OPT, BLOOM, etc.</li><li>Experience with reinforcement learning, prompt engineering, hallucination mitigation.</li><li>Working understanding of the business risks associated with applying LLM in a business.</li><li>Experience working with large datasets and distributed computing systems (e.g., Hadoop, Spark).</li><li>Strong coding skills in Python or another programming language.</li><li>Excellent communicator, with the ability to translate complex technical concepts to non-technical stakeholders.</li><li>Strong problem-solving skills and the ability to think outside the box. </li></ul>

Responsibilities: <ul><li>Working closely with other data scientists and engineers to design, develop, and deploy AI solutions.</li><li>Leading the development of advanced AI and machine learning models to solve complex business problems Analyzing large datasets to identify patterns and trends that can inform AI development.</li><li>Collaborating with cross-functional teams to ensure AI solutions are aligned with business goals and customer needs.</li><li>Leading the automation and lifecycle management of sophisticated data systems. Mentoring junior data scientists and provide guidance on AI and machine learning best practices.</li><li>Designing APIs for disseminating data science outputs to various business units. Overseeing the scaling of production systems to meet growing demands.</li><li>Working closely with other data scientists and engineers to design, develop, and deploy AI solutions.</li><li>Leading the development of advanced AI and machine learning models to solve complex business problems Analyzing large datasets to identify patterns and trends that can inform AI development.</li><li>Collaborating with cross-functional teams to ensure AI solutions are aligned with business goals and customer needs.</li><li>Leading the automation and lifecycle management of sophisticated data systems.</li><li>Mentoring junior data scientists and provide guidance on AI and machine learning best practices.</li><li>Designing APIs for disseminating data science outputs to various business units.</li><li>Overseeing the scaling of production systems to meet growing demands.</li></ul> Requirements: <ul><li>Possess an advanced or Masters education in Computer Science, Mathematics, Statistics, or a related field. Have experience working directly with large language models and transformer-based architectures including BERT, RoBERTa, T5 etc.</li><li>Be proficient in working with big data technologies and tools like Hadoop, Spark, or AWS.</li><li>Have experience and knowledge of applying LLMs including ChatGPT, GPT 3.5, Claude, Mistral, etc.</li><li>Be a natural problem solver, able to lead and mentor junior data scientists, and collaborate with cross-functional teams.</li><li>Demonstrate proficient experience with machine learning algorithms, including deep learning, gradient boosting, and random forests Possess advanced programming skills in Python, R, or other relevant languages for data analysis.</li></ul>

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16 analyzing Jobs found

MPDE CA Process Design Engineer(Senior Engineer)

Manufacturing Technician V (Senior Technician)

Staff Engineer - AI/ML

Human Resources Business Partner

Deputy Team Lead (VP1/2) – KYC / CDD / AML

SVP / FVP / VP - KYC Operations

Business Support Supervisor II

Director, Technical Services

Manager, Data Science (GNS)

Senior Data Scientist

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MPDE CA Process Design Engineer(Senior Engineer)

Manufacturing Technician V (Senior Technician)

Staff Engineer - AI/ML

Human Resources Business Partner

Deputy Team Lead (VP1/2) – KYC / CDD / AML

SVP / FVP / VP - KYC Operations

Business Support Supervisor II

Director, Technical Services

Manager, Data Science (GNS)

Senior Data Scientist

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