Specialist, DEA Compliance

Machine Learning Scientist

Software Development Engineer

ASC - Data Scientist

Process Engineer

Fixtures Designer

ASC - AI

Associate I, Quality Operations

Business System Analyst I - Central Finance

Java Python Software Engineer

Role Description: <ul><li>The DEA Compliance Specialist, under general supervision, is knowledgeable on all matters of the DEA as it pertains to pharmaceutical testing, manufacturing and distribution of controlled substances.</li><li>Those matters include licenses, procurement, and movement of material, production, shipment and destruction.</li><li>Incumbent should also have the ability to interface with governmental agencies and represent the company as needed.</li></ul> Responsibilities: <ul><li>DEA coordinator for CII –CV controlled substances: manages/coordinates all DEA-related actives at site</li><li>Reviews and releases daily orders through Suspicious Order Monitoring System (SOMs) and assures compliance with Suspicious Orders Reporting (SORS)</li><li>Maintains Know your Customer (KYC) information</li><li>Conducts year‐end and biennial inventory and report ARCOS quarterly reporting &amp; cycle count inventory via DEA website</li><li>Coordinates all movement of controlled substances from manufacturing through analytical testing</li><li>Liaises with Procurement and DEA regarding import/export of controlled substance and completes necessary paperwork</li><li>Maintains compliance of all DEA, State, and Board of Pharmacy registrations</li><li>Coordinates all controlled substance destruction with QC, Environmental, Health &amp; Safety and Logistic departments</li><li>Works with Security department to maintain facility upgrades to security systems</li><li>Power of Attorney to sign DEA 222 form, responsible for completing, maintaining and tracking all DEA 222 forms</li><li>Responsible for submitting CII quota applications to DEA; maintain organized DEA files on related activities</li><li>Coordinates and documents DEA audits for sites and issues audit reports to management upon completion</li><li>Remains current on DEA regs in order to address organization business needs</li><li>Creates all destruction reports and coordinates pick ups for controlled destruction from MRB, line waste and lab waste.</li></ul> SOPs: <ul><li>Updates associated SOP’s related to job functions</li></ul> Supporting responsibilities:&nbsp; <ul><li>Back up to State Licensing associate</li><li>Participates and represents department at project meetings as required</li></ul> Requirements: Education &amp; Experience: <ul><li>Bachelor’s degree in a relevant field required</li><li>2+ years’ relevant work experience</li></ul> Experience with IQVIA SOM software preferred <ul><li>Working knowledge of GMP regulations and compliance issues</li><li>Strong knowledge of DEA and FDA regulations</li><li>Knowledgeable of production and production planning processes</li></ul>

Role Description: <ul><li>As an ML engineer, you will have the opportunity to work on large-scale ranking and recommendation systems for sequential content consumption on newly installed user interface designs&nbsp;</li><li>The solutions developed by you will aid in building novel and meaningful graph-based community assets around the network of consumers and merchants, to ultimately drive key product and marketing KPIs associated with customer experience, engagement and the revenue bottom line.</li></ul> Responsibilities:&nbsp; As a Machine Learning Scientist you will be responsible for: <ul><li>Creating innovative AI/ML solutions that enhance personalization for users, with a focus on ranking and recommendation algorithms.</li><li>Writing scalable, production-quality code to deploy models on company infrastructure, optimizing for performance and efficiency.</li><li>Collaborating with cross-functional teams, including engineering, product, and marketing, to design, develop, and track key performance indicators (KPIs) for ranking and recommendation models.</li><li>Conducting experiments to measure these KPIs, as well as deriving actionable insights from the data, to continually improve the technology and drive business outcomes.</li></ul> Requirements: <ul><li>Advanced degree (MS or PhD) in quantitative science or engineering field (for example: Computer Science, Statistics, Mathematics, Operation Research) with a minimum of 2 years of hands-on experience for MS as an individual contributor.</li><li>Proven expertise in designing and developing AI/ML models for ranking and recommendation systems, with in-depth understanding of both traditional collaborative/content-based recommendation methods and cutting-edge deep learning algorithms, reinforcement learning, and bandit techniques.</li><li>Demonstrated ability to write scalable high quality code in Python, Java, Scala or a similar programming language, and to design and implement data engineering pipelines using technologies like Hive, SQL, BigQuery, or Spark.</li><li>Proficiency in machine learning frameworks and packages, such as Tensorflow and PyTorch.&nbsp;</li></ul>

Responsibilities: Full Lifecycle Software Development: <ul><li>Execute the entire software development lifecycle for automated and system-controlled assembly and End-of-Line testing software.</li><li>Collaborate with global cross-functional teams to gather user requirements and translate them into technical specifications.</li><li>Design, develop, and implement software solutions that meet industry standards and comply with coding best practices.</li></ul> Programming and Testing: <ul><li>Write well-designed, testable, and efficient code.</li><li>Develop flowcharts, layouts, and documentation to identify requirements and solutions.</li><li>Integrate software components into a fully functional system.</li><li>Create software verification plans and quality assurance procedures.</li></ul> Troubleshooting and Maintenance: <ul><li>Debug and upgrade existing systems.</li><li>Document and maintain software functionality.</li><li>Evaluate user feedback and deploy necessary updates.</li><li>Provide 3" level support to local sites</li></ul> Requirements: <ul><li>Experience as a Software Engineer or Software Developer ideally in a manufacturing environment.</li><li>Exp- 3-8 years</li><li>Proficiency in topics related to connectivity of manufacturing equipment, logistics systems</li><li>Familiarity with designing interactive applications is essential.</li><li>Experience in cross functional project management.</li><li>A bachelor’s degree in computer science, Engineering, or a related field, master’s degree is an asset.</li></ul>

Responsibilities: Will be required to perform the following: <ul><li>Design, develop, and deploy scalable data-driven solutions using Flask, integrating with Microsoft SQL Server.</li><li>Lead projects involving NLP, LLMs, and Generative AI, delivering innovative solutions.</li><li>Collaborate with cross-functional teams to understand business needs and translate them into technical specifications.</li><li>Conduct advanced statistical analysis and predictive modeling to extract actionable insights.</li><li>Develop intuitive front-end interfaces to present complex data in an accessible manner.</li><li>Maintain and enhance back-end systems for optimal performance and scalability.</li><li>Mentor junior team members and contribute to knowledge sharing within the team.</li><li>Stay abreast of emerging trends in AI, machine learning, and software development.</li></ul> Requirements: <ul><li>The successful candidate should hold a Bachelor’s degree in in Data Science, Computer Science, or a related field from a recognized and approved program.</li><li>Should have at least 5 years experience in Natural Language Processing, and at least a few years’ experience in Large Language Models in addition to:</li><li>At least 5 years of professional experience in data science and full-stack development.</li><li>Proficiency in Flask, Microsoft SQL Server, and front-end technologies.</li><li>Proven expertise in NLP, LLMs, and Generative AI.</li><li>Strong foundation in statistics, machine learning, and algorithm design.</li><li>Excellent problem-solving skills and ability to think algorithmically.</li><li>Strong communication skills, with the ability to translate complex concepts to non-technical stakeholders.</li></ul>

Responsibilities: <ul><li>Operational Excellence and Process Safety&nbsp;</li><li>Participate in the PHA and MOC process by providing technical inputs and evaluating recommendations to ensure operational feasibility and compliance to safety standards.</li><li>Investigate incidents, provide and evaluate recommendations from PHA to ensure timely implementation of the process. </li><li>Process Optimization and Plant Performance Evaluations</li><li>Implement Advance Process Control System through proper awareness and specialization to optimize the process.</li><li>Monitor the plant parameters daily and evaluate the plant performance by providing recommendations in order to improve technical processes.</li><li>Manage material and energy balance, compare with design and assist the plant management in facilitating processes to run the plant efficiently and economically.</li><li>Provide engineering assistance on technical aspects to the Operations Group, conduct evaluation and selection of equipment based on technical requirements to meet engineering standards.</li><li>Policies, Systems, Processes and Procedures&nbsp;</li><li>Contribute to the identification of opportunities for the continuous improvement of technical department’s systems, policies, processes and practices taking into account ‘international leading practices’ in order to improve productivity and operational efficiency.</li><li>Provide critical input to support the development of Engineering systems, policies, processes, and procedures in order to meet business requirements.</li><li>Ensure team members comply with all Engineering policies, processes, standard operating procedures and instructions so that work is carried out in a controlled and consistent manner.</li></ul> Qatarization: <ul><li>Contribute to the development of Qatari employees.</li><li>This accountability is applicable to expatriate. employees only. Quality, Health, Security, Safety and Environment</li><li>Ensure compliance with regulatory requirements and relevant quality, health, safety, security and environmental procedures and controls across the Section to guarantee employee safety and delivery of high-quality products/services</li></ul> Requirements: <ul><li>Required (Qualification1 / Discipline): Bachelor’s degree in chemical engineering.</li><li>Preferred (Qualification1 / Discipline): Master Degree in Chemical Engineering. Experience</li><li>Required (Years2 / Job Level3 / Industry): Total of 7-10 years of experience in Petrochemicals Industry in Process Engineering.</li><li>Preferred (Years2 / Job Level3 / Industry): Experience in Oil &amp; Gas Industry.</li></ul>

Responsibilities: <ul><li>Design, manage mechanical facility, tooling, jig and fixture in order to sustain and improve all operational or production/assembly relevant processes.</li><li>To perform detail designs and drafting of detail drawings (parts drawings) on time with 3D software and upon the approval of the project manager in accordance to</li><li>drawings, assembly instructions &amp; PFMEA requirements, and forward the designs to the respective vendors and suppliers for quotations &amp; fabrication.</li><li>To provide engineering solution to NPI team members for new launch products, tooling, jigs &amp; fixture setup before conducting acceptance test release for mass</li><li>production.</li><li>Ensure proper setup TPM &amp; autonomous maintenance planning on mechanical devices, tools, jig &amp; fixtures with proper procurement documentation and ensure</li><li>perform the TPM according to TPM planning.</li><li>Maintain and support jig and fixture management, e.g. jig and fixture spare part management.</li><li>Support in establishing manufacturing methods, procedures, and activities with proper document (e.g. work Instruction), these includes setting of mechanical devices,</li><li>tooling, fixture setup and clamping method</li><li>Initiate and participate in continuous improvement process and 6S at work environment to increase the productivity and maintain safety, quality, cycle time</li><li>optimization and efficiency towards meeting departmental goals.</li><li>Conduct training for production staffs in workflow and the use and applications of various jig and fixture clamping techniques.</li><li>To conduct the machine/processes capability study and machine acceptance documentation.</li><li>Provide support for internal / external process audits and ensure compliance of established process requirements in the implementation of jigs and fixtures.</li><li>Support daily task given by Superior from time to time.</li></ul> Requirements: <ul><li>1-2 years relevant professional experience in mechanical designs (automation, jigs &amp; fixtures).</li><li>Prefer Bachelor degree in Mechanical &amp; Mechatronic Engineering.</li><li>Proficient in English.</li></ul>

Responsibilities: <ul><li>Design, develop, and implement AI-powered solutions to automate manual tasks, optimize processes, and enhance data-driven decision-making in Financial Accounting, Treasury, Performance management and Investor Relations.</li><li>Work closely with business stakeholders to understand their needs, translate them into technical requirements, and deliver impactful solutions.&nbsp;</li><li>Assess requirements related to Finance AI uses cases; Perform option evaluation; Provide support for implementation</li><li>Develop and maintain machine learning models for tasks such as financial forecasting, fraud detection, anomaly detection, risk assessment, and investor sentiment analysis.</li><li>Clean, transform, and analyze large datasets from various sources to ensure data quality and prepare it for modeling.</li><li>Stay up-to-date on the latest advancements in AI and machine learning, identify potential applications for the finance function, and propose relevant pilot projects.</li><li>Communicate technical concepts and findings effectively to both technical and non-technical audiences.</li><li>Participate in cross-functional initiatives to integrate AI and data science into broader business transformation efforts.</li><li>Organize and facilitate workshops with different users and consultants to document processes and drive transformation</li><li>Lead the delivery and execution of key digital initiatives. Participate in solutions development through projects and programs, collaborating with business and technology groups. Maintain, support and optimize digital solutions</li></ul> Requirements: <ul><li>As the successful candidate you will hold a Bachelor’s degree in Engineering, Computer Science, Mathematics, Statistics or IT from a recognized and approved program. Possession of an advanced business degree (e.g. MBA) and/or relevant professional certification (e.g. CMA, CFA, CPA) is preferred but not required.&nbsp;</li><li>You will have six to eight years’ experience in Data Science, Artificial Intelligence and other related advanced analytics implementation of financial systems. Expertise in Python programming languages and libraries such as NumPy, pandas, scikit-learn, TensorFlow, or PyTorch is required. UI programming, such as with React, is required. Skills to leverage Google Cloud or Azure Cloud for advanced analytics is desirable.</li><li>You will be able to demonstrate a thorough understanding of the various aspects of implementing AI systems in Finance including articulation and measurement of benefits, evaluation of technical and execution options, critical success factors, and project risks.</li><li>You must have project experience implementing AI solutions and will be able to analyze the business requirements, evaluate and recommend technical options and support the execution process for implementing such solutions. Ability to get involved in hands on technical solution management is preferred.</li></ul>

Responsibilities: <ul><li>The Quality Associate I, Operations is responsible for actively participating in “on the floor” Quality activities during product manufacturing and/or packaging.</li><li>Quality activities include product sampling and inspection, area clearance to confirm process readiness, and non-conforming event support to resolve in-process issues.</li><li>Communicates to multiple departments and supervision to provide timely process and issue updates.</li><li>Identifies and escalates issues or problems to appropriate supervision. Participates as a team member on cross-functional teams.</li><li>Participates in reviews and structured processes for continuous improvement.&nbsp;&nbsp;</li></ul> Quality Operations: <ul><li>Performs physical inspection of in-process and finished product samples as assigned and according to the production schedule.</li><li>Collects samples from manufacturing and packaging according to the defined Batch Production Record and procedure requirements.</li><li>Becomes competent in processes: Weighing, Blending, Granulation, Compression, Coating, Encapsulation, Packaging.</li><li>Follows internal processes related to controlled substances.</li><li>Performs GMP related verifications such as line clearances, cleaning, room inspection, and materials</li><li>Collects and appropriately labels packaging retain samples, and submits to the archive storage</li><li>May execute computer data entries in CME, JDE, LIMS, and/or department databases.</li><li>Collects retain samples and performs sample evaluation for Annual Product Review.</li><li>May backup third party product review/release.</li><li>Perform sampling of Active Pharmaceutical Ingredients, excipients, and packaging components for release testing.</li></ul> Non-conforming events: <ul><li>Responds to and escalates events identified during production to Quality Management.</li><li>Participates in investigations with the Rapid Response Team as needed.</li></ul> Process Improvement: <ul><li>Collaborates with Manufacturing and Quality partners to identify and implement improvements.</li></ul> Compliance: <ul><li>Conducts GMP walkthroughs of facilities</li></ul> <ul><li>Learns how to perform in-process audits to identify adherence to SOPs and BR requirements.</li><li>Actively participates in training events, and maintains currency with assigned training requirements.</li></ul> Safety: <ul><li>Follows all procedures to ensure a safe and compliant work environment.</li></ul> Requirements: Education &amp; Experience: <ul><li>High school diploma or equivalent with 2-4 years of relevant industry experience (Oral Solid Dose pharmaceutical manufacturing and Quality Assurance experience preferred)</li><li>Ability to communicate and work with teams.</li><li>Attention to detail.</li><li>Strong documentation skills.</li><li>Ability to read and interpret SOPs and function within the scope of procedures.</li></ul>

Responsibilities: <ul><li>Design, develop, and implement AI-powered solutions to automate manual tasks, optimize processes, and enhance data-driven decision-making in Financial Accounting, Treasury, Performance management and Investor Relations.</li><li>Work closely with business stakeholders to understand their needs, translate them into technical requirements, and deliver impactful solutions.</li><li>Assess requirements related to Finance AI uses cases; Perform option evaluation; Provide support for implementation.</li><li>Develop and maintain machine learning models for tasks such as financial forecasting, fraud detection, anomaly detection, risk assessment, and investor sentiment analysis.</li><li>Clean, transform, and analyze large datasets from various sources to ensure data quality and prepare it for modeling.</li><li>Stay up to date on the latest advancements in AI and machine learning, identify potential applications for the finance function, and propose relevant pilot projects.</li><li>Communicate technical concepts and findings effectively to both technical and non-technical audiences.</li><li>Participate in cross-functional initiatives to integrate AI and data science into broader business transformation efforts.</li><li>Organize and facilitate workshops with different users and consultants to document processes and drive transformation.</li><li>Lead the delivery and execution of key digital initiatives.</li><li>Participate in solutions development through projects and programs, collaborating with business and technology groups.</li><li>Maintain, support and optimize digital solutions.</li></ul> Requirements: <ul><li>As the successful candidate you will hold a bachelor’s degree in Engineering, Computer Science, Mathematics, Statistics or IT from a recognized and approved program.</li><li>Possession of an advanced business degree (e.g. MBA) and/or relevant professional certification (e.g. CMA, CFA, CPA) is preferred but not required.&nbsp;</li><li>You will have six to eight years’ experience in Data Science, Artificial Intelligence and other related advanced analytics implementation of financial systems.</li><li>Expertise in Python programming languages and libraries such as NumPy, pandas, scikit-learn, TensorFlow, or PyTorch is required. </li><li>UI programming, such as with React, is required. Skills to leverage Google Cloud or Azure Cloud for advanced analytics is desirable.</li><li>You will be able to demonstrate a thorough understanding of the various aspects of implementing AI systems in Finance including articulation and measurement of benefits, evaluation of technical and execution options, critical success factors, and project risks.</li><li>You must have project experience implementing AI solutions and will be able to analyze the business requirements, evaluate and recommend technical options and support the execution process for implementing such solutions.</li><li>Ability to get involved in hands on technical solution management is preferred.&nbsp;</li></ul>

<ul><li>The opportunity to work on a variety of different technology platforms - ranging from well established players like Oracle through to emerging leaders like Featurespace, Netguardians, Quantexa etc.</li><li>The opportunity to get trained and formally certified in a number of these technology platforms, which provides for sought after specialist skills, experiences and certifications which drive candidates value in the market</li><li>The opportunity to work on the latest technologies including machine learning/AI, OCR, robotic process automation, sophisticated business process management / workflow tools, data models etc.</li><li>The opportunity to work on a variety of programming frameworks and languages (not just Java and Python)</li><li>The opportunity to get experience in Regtech, which is a large and growing market (expected to be 16bn USD annual spend by 2025</li><li>The opportunity to work on regional and international clients and occasionally to travel and work in regional / international locations</li></ul>

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38 cnc controlled grinding machine Jobs found

Specialist, DEA Compliance

Machine Learning Scientist

Software Development Engineer

ASC - Data Scientist

Process Engineer

Fixtures Designer

ASC - AI

Associate I, Quality Operations

Business System Analyst I - Central Finance

Java Python Software Engineer

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38 cnc controlled grinding machine Jobs found

Specialist, DEA Compliance

Machine Learning Scientist

Software Development Engineer

ASC - Data Scientist

Process Engineer

Fixtures Designer

ASC - AI

Associate I, Quality Operations

Business System Analyst I - Central Finance

Java Python Software Engineer

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WhiteCrow is on a mission to connect companies with the best talent across the globe.