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Title: Azure Data Engineer

Job Overview

We are looking for a skilled DevOps & AI Engineer who can bridge the gap between development, operations, and artificial intelligence systems. The ideal candidate will design, deploy, automate, and manage AI-powered applications using modern DevOps practices.

You will work closely with development, data science, and IT teams to ensure smooth CI/CD pipelines, scalable infrastructure, and optimized AI model deployment.

Key Responsibilities

• Design and manage CI/CD pipelines using tools like Jenkins, GitHub Actions, or GitLab

• Deploy and manage AI/ML models in production environments

• Automate infrastructure using Terraform or Ansible

• Work with containerization tools like Docker and orchestration platforms such as Kubernetes

• Monitor systems using tools like Prometheus and Grafana

• Optimize cloud infrastructure on Amazon Web Services, Microsoft Azure, or Google Cloud Platform

• Ensure system security, scalability, and high availability

• Collaborate with AI teams for model versioning, testing, and deployment

Required Skills

• Strong knowledge of DevOps methodologies and CI/CD practices

• Experience with cloud platforms (AWS, Azure, or GCP)

• Hands-on experience in AI/ML model deployment

• Knowledge of Python, Shell scripting, or similar languages

• Experience with version control systems like Git

• Understanding of MLOps concepts

Preferred Qualifications

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

• Experience with AI frameworks like TensorFlow or PyTorch

• Knowledge of microservices architecture

• Strong problem-solving and communication skills

Why Join Us?

• Work on cutting-edge AI and cloud technologies

• Career growth opportunities

• Collaborative and innovative work environment

• Competitive salary package

We are seeking a motivated Data Science Analyst to join our team. The ideal candidate will transform data into actionable insights, support decision-making, and contribute to data-driven strategies across the organization. You will work with large datasets, perform statistical analysis, and develop reports and dashboards to help stakeholders make informed business decisions.

Key Responsibilities:

• Collect, clean, and analyze large datasets from multiple sources.

• Perform statistical analyses to identify trends, patterns, and correlations.

• Develop dashboards, visualizations, and reports for business teams.

• Collaborate with cross-functional teams to understand business requirements and provide data-driven solutions.

• Support the development of predictive models and machine learning projects.

• Communicate findings effectively to non-technical stakeholders.

• Monitor and improve the quality and integrity of data sources.

Required Skills & Qualifications:

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

• Strong knowledge of Python, R, or SQL.

• Experience with data visualization tools such as Tableau, Power BI, or Matplotlib.

• Solid understanding of statistics, probability, and data analysis techniques.

• Excellent problem-solving and analytical skills.

• Strong communication skills to present insights clearly.

Preferred Skills:

• Experience with machine learning frameworks (scikit-learn, TensorFlow, PyTorch).

• Familiarity with cloud platforms (AWS, Azure, GCP).

• Knowledge of big data tools (Hadoop, Spark).

• Prior experience in business analytics or a similar role.

Benefits:

• Competitive salary and performance bonuses.

• Flexible work environment and remote options.

• Opportunities for professional growth and training.

• Collaborative and innovative team culture.

Position: Cybersecurity Engineer Education: Bachelor's degree in computer science, information systems, engineering, or a related scientific or technical discipline. Overview: Kreative Technologies is in search of a cyber-security engineer with extensive experience within the Department of Defense (DoD) who can work independently to perform certification and accreditation (C&A) efforts to achieve Authority to Operates (ATO) accreditations, perform risk assessments (RA) and annual reviews (AR). Responsibilities:

• Assist in the preparation and revision of IA policy and guidance documents for specific cyber-security related technologies.

• Provide critical written and verbal analysis of systems documentation and vulnerability reports and risk assessments.

• Provide C&A support to include interpreting Security Technical Implementation Guidance (STIGs) evaluation for DoD Information Assurance Certification and Accreditation (DIACAP) and Risk Management Framework (RMF).

• Review vulnerability assessments, system security plans, and continuity of operations.

• Plan (COOP) artifacts for compliance.

• Provide input to ad-hoc requests as well as weekly and monthly project status reports.

Education/Skills/ Minimum Qualifications:

• 4+ years of direct experience with cyber security requirements (IA Controls)

• 4+ years of experience working within DoD Services or Agencies

• 4+ years of experience resolving security findings discovered on network devices and operating systems

• 4+ year C&A package review for CA/DAA making risk-based recommendations.

• Excellent oral and written communication skills

Kreative Technologies is an equal opportunity employer and is committed to providing a workplace free from harassment and discrimination. We celebrate the unique differences of our employees because that is what drives curiosity, innovation, and the success of our business. Kreative Technologies does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate. Accommodations are available for applicants with disabilities.

Title: Azure Data Engineer

Job Description This position within the Division of Marketing’s Digital Team joins a team of front-end and back-end web developers and platforms team to help host, secure, and maintain the central web presence of Syracuse University. The DevOps Specialist will work in collaboration w/Marketing Technology & Web Development Teams to assist with on-premise and cloud containerized deployments. This position is responsible for assisting the development team to automate the implementation, testing, and deployment of products into a runtime environment in a reliable and efficient manner. This position is part of a high performing team providing a stable and reliable web hosting environment for various websites for Syracuse University, including flagship channels (www.syracuse.edu), schools and colleges, and business units. The DevOps Specialist works with central IT to ensure proper security, code review and University development best practice is followed. The DevOps Specialist will have trusted access to production, development and testing environments. This includes high-visibility properties in the central marketing portfolio in addition to hundreds of other websites that are hosted using the university’s web hosting platform. The scope of services in these responsibilities includes web, application, database and legacy systems. Education and Experience

• Bachelors degree or equivalent amount of education and work experience.
• One (1) plus years of work experience related to software development and containerized applications with a focus on CI/CD and application monitoring.

Skills and Knowledge

• Experience with DevOps (CI/CD) pipeline concepts and tools such as GitHub, Gitlab, Docker, and Jenkins.
• Experience with one or more scripting languages (Bash, Python, Go).
• Understanding of Infrastructure as Code (IaC) tools such as Terraform or Pulumi.
• Familiarity with configuration management systems (Ansible) to automate infrastructure provisioning and application deployment tasks across varied language stacks.
• Proficient in source code management using Git, including branching strategies, merging workflows, and code reviews for projects in Python, PHP, JavaScript, and SQL.
• Familiarity with various methods to audit site performance, monitor uptime and prevent intrusion preferred.
• Knowledge of networking fundamentals and experience troubleshooting web server connections and routing.
• Familiarity with AWS, Azure, or other cloud hosting preferred.
• Experience with WordPress, Django, and identity providers, such as Azure Entra.
• Experience documenting systems, architecture and solutions.
• Excellent communication skills, the ability to work well with others and independently as necessary.
• Ability to prioritize projects, evaluate requests and offer solutions.

Responsibilities

• Work with web development and marketing technology/platform teams to assist with assist with on-premise and cloud containerized deployments, automating the implementation, testing, and deployment of products into a runtime environment in a reliable and efficient manner.
• Work with central IT to ensure proper security, code review and University development best practice is followed.
• Break/fix incident response and support of division, campus community, and external vendor partners.
• Craft process, best practice and support documentation as required.
• Quality assurance (QA) test sites and systems in collaboration with web development team for functionality and accessibility.

Physical Requirements Not Applicable Tools/Equipment Not Applicable Application Instructions In addition to completing an online application, please attach a resume and cover letter. About Syracuse University Syracuse University is a private, international research university with distinctive academics, diversely unique offerings, and an undeniable spirit. Located in the geographic heart of New York State, with a global footprint, and over 150 years of history, Syracuse University offers a quintessential college experience. The scope of Syracuse University is a testament to its strengths: a pioneering history dating back to 1870; a choice of more than 200 majors, 100 minors, and 200 advanced degree programs offered across the University’s 13 schools and colleges; over 15,000 undergraduates and over 6,000 graduate students; more than a quarter of a million alumni in 160 countries; and a student population from all 50 U.S. states and 123 countries. About The Syracuse Area Syracuse is a medium-sized city situated in the geographic center of New York State approximately 250 miles northwest of New York City. The metro-area population totals approximately 500,000. The area offers a low cost of living and provides many social, cultural, and recreational options, including parks, museums, festivals, professional regional theater, and premier shopping venues. Syracuse and Central New York present a wide range of seasonal recreation and attractions ranging from water skiing and snow skiing, hiking in the Adirondacks, touring the historic sites, visiting wineries along the Finger Lakes, and biking on trails along the Erie Canal. EEO Statement Syracuse University is an equal-opportunity, affirmative-action institution. The University prohibits discrimination and harassment based on race, color, creed, religion, sex, gender, national origin, citizenship, ethnicity, marital status, age, disability, sexual orientation, gender identity and gender expression, veteran status, or any other status protected by applicable law to the extent prohibited by law. This nondiscrimination policy covers admissions, employment, and access to and treatment in University programs, services, and activities. Commitment to Supporting and Hiring Veterans Syracuse University has a long history of engaging veterans and the military-connected community through its educational programs, community outreach, and employment programs. After World War II, Syracuse University welcomed more than 10,000 returning veterans to our campus, and those veterans literally transformed Syracuse University into the national research institution it is today. The University’s contemporary commitment to veterans builds on this historical legacy, and extends to both class-leading initiatives focused on making an SU degree accessible and affordable to the post-9/11 generation of veterans, and also programs designed to position Syracuse University as the employer of choice for military veterans, members of the Guard and Reserve, and military family members. Commitment to a Diverse and Inclusive Campus Community Syracuse University maintains an inclusive learning environment in which students, faculty, administrators, staff, curriculum, social activities, governance, and all other aspects of campus life reflect a diverse, multi-cultural, and international worldview. The University community recognizes and values the many similarities and differences among individuals and groups. At Syracuse, we are committed to preparing students to understand, live among, appreciate, and work in an inherently diverse country and world made up of people with different ethnic and racial backgrounds, military backgrounds, religious beliefs, socio-economic status, cultural traditions, abilities, sexual orientations and gender identities. To do so, we commit ourselves to promoting a community that celebrates and models the principles of diversity and inclusivity.

This position will require being on-site 1 day a week, in either the Chicago or Washington, DC office. This position will support the Part D Medicare Compliance Officer. Preference will be given to candidates with experience in Medicare Programs. Designs and documents business process requirements for all related business, financial, and operational systems critical to core business functions within FEP for support of the Medicare Prescription Drug Program, and other Medicare programs. This may require the Business Analyst to research and analyze data in support of business functions, process knowledge, and systems requirements. Recommends new or improvements to existing business and operational processes and procedures. Manages projects to build a Medicare Compliance Program. Manages compliance program auditing and monitoring activities. Assists with audit readiness. This person should have 7 years’ experience in the health payer industry – Blues or FEHBP experience desirable. Experience in Medicare Program Audits or Medicare CPE Audits is desirable. Experience with Compliance Programs is preferred. Deliverable: · compliance training tracking · auditing and monitoring compliance program · monthly exclusion check monitoring · updating policies and procedures · drafting SOPs · compliance hotline monitoring · compliance program communications · compliance committee meetings · sharepoint folder · compliance program workplan · HPMS memo review and analysis · compliance program liaison with FEP · Medicare Compliance shared mailbox owner · attend monthly MAPD Plan calls · Part CD ListServ owner · assist with Compliance Program audit readiness Ability to Commute:

• North Chicago, IL 60064 (Required)

Ability to Relocate:

• North Chicago, IL 60064: Relocate before starting work (Preferred)

Work Location: In person

We are looking for a results-driven AI Product Manager to lead the development and launch of AI-powered products and features. This role requires a strong mix of product strategy, technical understanding of AI/ML, and customer-centric thinking to transform data and algorithms into impactful business solutions.

Key Responsibilities

• Define product vision, roadmap, and strategy for AI-based products

• Collaborate with data scientists, engineers, designers, and business teams

• Translate business needs into clear product requirements and user stories

• Prioritize features based on customer value, feasibility, and business impact

• Oversee the AI product lifecycle from concept to deployment and iteration

• Monitor product performance using KPIs and user feedback

• Ensure responsible AI practices, data privacy, and compliance standards

• Communicate product updates and strategy to stakeholders and leadership

Required Skills & Qualifications

• Bachelor’s degree in Computer Science, Engineering, Business, or related field

• 3–7 years of experience in product management (AI/ML products preferred)

• Strong understanding of AI, machine learning, and data-driven products

• Experience with Agile/Scrum product development methodologies

• Excellent analytical, communication, and decision-making skills

• Ability to work cross-functionally with technical and non-technical teams

Preferred Qualifications

• MBA or advanced degree in a technical or business field

• Experience with cloud platforms (AWS, Azure, GCP)

• Familiarity with MLOps, data pipelines, and AI model lifecycle management

• Product management certifications are a plus

Salary Range (USA – 2026)

$130,000 – $160,000 per year, depending on experience and location

Why Join Us?

• Build cutting-edge AI products with real-world impact

• Work alongside top AI and technology professionals

• Competitive salary, benefits, and career growth opportunities

• Be part of an innovation-driven, future-focused organization

About the Role

We are seeking an AI/ML Governance & Security Specialist with strong expertise in implementing secure and compliant AI/ML solutions. The role will focus on ensuring responsible AI adoption, data security, compliance, and governance across AI/ML projects. The ideal candidate will have hands-on experience in security architecture, cloud platforms (especially Microsoft Azure), and governance frameworks, with proven knowledge of AI/ML lifecycle risks.

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Key Responsibilities

• AI/ML Security & Governance

  • Design, implement, and manage governance frameworks for AI/ML systems to ensure compliance with regulatory, ethical, and organizational standards.

  • Assess AI/ML models and pipelines for risks such as bias, fairness, privacy, and explainability.

  • Define and enforce AI/ML security policies, controls, and monitoring mechanisms.

• Security Architecture (Azure Focused)

  • Design and maintain secure cloud-based ML/AI solutions on Microsoft Azure.

  • Implement Identity & Access Management (IAM), Key Vault, encryption, and security monitoring for ML workloads.

  • Support compliance with industry standards (ISO, GDPR, HIPAA, SOC2, etc.).

• Governance & Risk Management

  • Establish model governance, monitoring, and audit mechanisms across the ML lifecycle.

  • Conduct risk assessments and threat modeling for AI/ML applications.

  • Collaborate with compliance, risk, and IT security teams to ensure responsible AI adoption.

• Operational Excellence

  • Support incident response and vulnerability management for AI/ML environments.

  • Provide security awareness and governance best practices for AI/ML teams.

  • Document governance frameworks, security policies, and compliance reports.

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Required Skills & Qualifications

• Experience:

  • 2.5+ years of professional experience in AI/ML governance, security, or cloud security architecture.

  • Hands-on experience with AI/ML model lifecycle security (data handling, training, deployment, monitoring).

• Technical Skills:

  • Strong knowledge of Microsoft Azure AI/ML services (Azure ML, Cognitive Services, Synapse).

  • Expertise in Azure Security architecture (Defender, Sentinel, Key Vault, IAM).

  • Understanding of data security, encryption, and compliance frameworks.

  • Familiarity with ML frameworks (TensorFlow, PyTorch, Scikit-learn) and MLOps concepts.

  • Knowledge of Responsible AI principles (bias detection, model explainability, privacy-preserving ML).

• Certifications (Required/Preferred):

  • Microsoft Certified: Azure Security Architect Expert (Required).

  • AI/ML Certification (e.g., Microsoft Certified: Azure AI Engineer Associate, AWS Machine Learning Specialty, or equivalent).

• Soft Skills:

  • Strong analytical and problem-solving skills.

  • Excellent communication and stakeholder management skills.

  • Ability to work cross-functionally with security, compliance, and data science teams.

 

Key Responsibilities:

1. Environmental Monitoring & Lab Integration

• Design and manage data collection protocols using environmental sensors (e.g., for air quality, water pollution, soil composition).

• Collaborate with lab technicians to ensure accurate calibration and maintenance of monitoring equipment.

• Develop automated workflows to collect, clean, and store environmental data in real time.

2. AI & Machine Learning Application

• Build and apply AI/ML models to detect patterns, anomalies, or trends in environmental datasets.

• Use predictive modeling to anticipate environmental hazards such as pollution spikes, chemical leaks, or ecosystem degradation.

• Integrate AI models with real-time monitoring platforms for automated reporting and alerts.

3. Data Science & Visualization

• Conduct in-depth data analysis using Python, R, or MATLAB.

• Create interactive dashboards and visual reports using tools like Power BI, Tableau, or custom-built web apps.

• Collaborate with researchers, policy analysts, or engineers to translate data insights into actionable recommendations.

4. Cybersecurity & Data Protection

• Implement cybersecurity best practices to ensure the integrity, confidentiality, and availability of environmental data.

• Manage secure transmission protocols between sensor networks, cloud databases, and analysis platforms.

• Conduct risk assessments and establish security controls for IoT-connected environmental systems.

 

Required Qualifications:

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

• Demonstrated experience with AI/ML tools and libraries (e.g., TensorFlow, scikit-learn, PyTorch).

• Knowledge of environmental monitoring systems and data types (e.g., EPA standards, IoT-based sampling).

• Strong programming and data handling skills (Python, SQL, R, or similar).

• Familiarity with cybersecurity practices and tools (e.g., secure API usage, encryption, basic network security).

Preferred Qualifications:

• Experience with cloud platforms like AWS, Google Cloud, or Azure for AI model deployment and data storage.

• Knowledge of geospatial tools (e.g., QGIS, ArcGIS, Google Earth Engine).

• Certifications or coursework in AI ethics, environmental regulations, or cybersecurity frameworks (e.g., NIST).

 

Key Soft Skills:

• Strong problem-solving ability and systems thinking mindset.

• Excellent written and verbal communication skills for interdisciplinary collaboration.

• Ability to manage multiple projects in a fast-paced, evolving tech-environment.

 

Work Environment:

• Hybrid role (field data acquisition + remote/cloud-based model development).

• Occasional travel to environmental sites or partner labs for on-site system integration.

• Team-oriented and often cross-disciplinary, involving coordination with ecologists, AI engineers, and policy experts.

What you can expect Zoom's Cyber Threat Intelligence team is seeking a remote Senior Analyst. This person will monitor the evolving threat landscape and deliver operational assessments that provide real-time awareness of global cyber threats to Zoom. The ideal candidate has a good understanding of intelligence tradecraft. They also bring solid technical skills in threat research, analysis, and reporting to help peer teams and leadership understand Zoom's cyber threat environment. A successful candidate is impact-driven, communicates effectively, and builds solid relationships with stakeholders and peer teams.   About the Team The Threat Intelligence team plays a critical role in identifying, analyzing, and responding to a broad range of security threats across the organization. The team focuses on both physical and cyber domains, including risk analysis, insider threats, malware, and emerging threat actors. Their work helps safeguard our people, assets, and technology from evolving global risks.   Responsibilities

• Providing real-time awareness, early warning, and operational readiness to defend Zoom against global cyber threats
• Developing and maintaining adversary profiles and mapping threat activity using frameworks such as MITRE ATT&CK, Cyber Kill Chain, and Diamond Model
• Performing technical threat intelligence analysis to collect, enrich, and evaluate threat information to identify malicious activity and support detection and response efforts
• Researching, writing, and disseminating intelligence products using structured analytic techniques tailored to both technical and non-technical stakeholders
• Delivering briefings, presentations, and written reports to senior and executive leadership to inform strategic decision-making and drive security recommendations
• Identifying collection gaps and employing intelligence-gathering methods across open and closed sources
• Working closely with peer security teams to provide contextual threat intelligence, triage potential incidents, and assess the impact of threats to Zoom. Building and maintaining intelligence-sharing partnerships with internal and external stakeholders.
• Collaborating with cross-functional security teams to provide timely, actionable threat intelligence that enhances Zoom's defensive posture and drives leadership decision-making

  What we’re looking for

• Have extensive experience in cyber threat intelligence, threat hunting, or related cybersecurity discipline within an operational and tactical setting.
• Have a good technical understanding of attacker tradecraft, common attack vectors, and tactics, techniques, and procedures attackers use to propagate across systems and networks
• Have proven experience in research, writing, and publishing analytic reports for both technical and non-technical audiences
• Possess good knowledge and hands-on experience with threat intelligence frameworks. This includes tools used to identify and track adversary behavior and tradecraft, such as MITRE ATT&CK, the Cyber Kill Chain, and the Diamond Model.
• Have hand-on experience using threat intelligence platforms and SIEMs
• Have experience participating in incident response, threat investigations, and escalating detection recommendations to enhance security posture
• Able to demonstrate the ability to work cross-functionally with security, engineering, and product teams
• Have knowledge of intelligence collection methodologies and management

  In addition to the base salary and/or OTE listed Zoom has a Total Direct Compensation philosophy that takes into consideration; base salary, bonus and equity value. Note: Starting pay will be based on a number of factors and commensurate with qualifications & experience. We also have a location based compensation structure; there may be a different range for candidates in this and other locations At Zoom, we offer a window of at least 5 days for you to apply because we believe in giving you every opportunity. Below is the potential closing date, just in case you want to mark it on your calendar. We look forward to receiving your application!   Ways of Working Our structured hybrid approach is centered around our offices and remote work environments. The work style of each role, Hybrid, Remote, or In-Person is indicated in the job description/posting.   Benefits As part of our award-winning workplace culture and commitment to delivering happiness, our benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health; support work-life balance; and contribute to their community in meaningful ways.   About Us Zoomies help people stay connected so they can get more done together. We set out to build the best collaboration platform for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars. We’re problem-solvers, working at a fast pace to design solutions with our customers and users in mind. Find room to grow with opportunities to stretch your skills and advance your career in a collaborative, growth-focused environment. Our Commitment At Zoom, we believe great work happens when people feel supported and empowered. We’re committed to fair hiring practices that ensure every candidate is evaluated based on skills, experience, and potential. If you require an accommodation during the hiring process, let us know—we’re here to support you at every step. If you need assistance navigating the interview process due to a medical disability, please submit an Accommodations Request Form and someone from our team will reach out soon. This form is solely for applicants who require an accommodation due to a qualifying medical disability. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed.

Job Overview

We are looking for a highly skilled AI Engineer to design, develop, and deploy Artificial Intelligence and Machine Learning solutions. The ideal candidate should have strong experience in building intelligent systems, data modeling, and deploying scalable AI applications in production environments.

Key Responsibilities

• Design and develop AI/ML models for real-world business problems

• Build, train, and optimize machine learning algorithms

• Develop deep learning models using TensorFlow / PyTorch

• Deploy AI models into production environments (cloud/on-premise)

• Work with large datasets for preprocessing, cleaning, and feature engineering

• Collaborate with Data Scientists, Data Engineers, and Product Teams

• Implement NLP, Computer Vision, or Predictive Analytics solutions

• Monitor model performance and improve accuracy

• Stay updated with latest AI trends and technologies

Required Skills & Qualifications

• Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field

• Strong programming skills in Python

• Experience with ML libraries (Scikit-learn, TensorFlow, PyTorch)

• Knowledge of Deep Learning, NLP, or Computer Vision

• Experience with cloud platforms (AWS / Azure / GCP)

• Understanding of APIs and model deployment

• Strong problem-solving and analytical skills

Preferred Skills (Bonus)

• Experience with Generative AI / LLMs

• MLOps and model deployment experience

• Knowledge of Docker & Kubernetes

• Experience with big data tools (Spark, Hadoop)

What We Offer

• Competitive salary

• Career growth opportunities

• Exposure to cutting-edge AI projects

• Flexible working environment

Job Summary

We are looking for an experienced AI & Data Science Manager to lead our artificial intelligence and advanced analytics initiatives. The ideal candidate will manage a team of data scientists and machine learning engineers, oversee AI model development, and drive data-driven decision-making across the organization. This role requires strong technical expertise in AI, along with leadership and strategic planning capabilities.

Key Responsibilities

1. AI Strategy & Leadership

• Define and execute AI and machine learning strategy aligned with business goals

• Identify high-impact AI opportunities across departments

• Collaborate with senior leadership to drive innovation through data

2. Team Management

• Lead, mentor, and manage a team of data scientists, ML engineers, and analysts

• Conduct performance reviews and skill development planning

• Promote a culture of collaboration and continuous learning

3. Model Development & Deployment

• Oversee end-to-end machine learning lifecycle

• Guide development of predictive models, deep learning systems, and AI solutions

• Ensure proper model validation, testing, and deployment

• Monitor model performance and implement optimization strategies

4. Data Governance & Compliance

• Ensure data quality, security, and compliance standards

• Implement best practices for data management and model documentation

5. Stakeholder Communication

• Translate complex AI concepts into business-friendly insights

• Present findings and recommendations to senior management

• Work closely with product, engineering, and business teams

Required Skills & Qualifications

• Bachelor’s or Master’s degree in Data Science, Computer Science, AI, or related field

• 6+ years of experience in Data Science / AI roles

• 2+ years of leadership or team management experience

• Strong knowledge of machine learning, deep learning, NLP, and AI algorithms

• Proficiency in Python, R, SQL

• Experience with frameworks like TensorFlow, PyTorch, Scikit-learn

• Experience in cloud platforms (AWS, Azure, or GCP)

• Strong problem-solving and strategic thinking skills

• Excellent communication and leadership abilities

Preferred Qualifications

• Experience managing large-scale AI deployments

• Knowledge of MLOps and model lifecycle automation

• Experience in big data tools such as Spark or Hadoop

• AI-related certifications

Key Performance Indicators (KPIs)

• Successful deployment of AI projects

• Improvement in business metrics through AI solutions

• Team productivity and innovation

• Model accuracy and performance benchmarks