ECS

AI Expert | JobSetuu

ECS

USA
['Full-Time']

Posted 1 month ago • Via jobicy.com

Description

Job Overview

  • Source: Jobicy

Job Description

Everorth ECS is seeking a AI Expert to work hybrid in our Memphis, TN office or fully remote.

Tasks to be Performed:

  • Analyzing user/business data requirements and determining AI needs
  • Determining the functionality of AI applications and performing predictive modeling over time
  • Maintaining documentation for data analysis and machine learning models
  • Developing, analyzing, and organizing data mapping, diagrams, and flowcharts for AI development
  • Translating technical AI specifications into clear non-technical requirements
  • Developing and documenting AI features and predictive models with performance metrics
  • Assisting team with AI cost estimates and implementation
  • Implementing best practices for AI scalability, supportability, maintenance, and performance
  • Creating documentation for existing and future AI interfaces
  • Developing AI models and algorithms for predictive analytics
  • Applying sound analysis, business practices, and scientific expertise to solve a wide variety of customer problems
  • Applying expert knowledge to determine accuracy and reasonableness of data
  • Participating in business requirement gathering sessions, gathering user data requirements, understanding the user requirements, and assisting in the reconciliation of technical and business requirements
  • Ensuring that all solutions follow security and compliance controls
  • Mentoring or training other team members and sharing their expertise within and across contracts, organizational boundaries and with Customers

Qualifications

  • Master’s Degree in Computer Science, Data Science, Engineering, Mathematics, Business Management or related technical discipline preferred (equivalent work experience in AI may substitute for a degree)
  • US citizen or Green Card Holder and must be able to obtain a Public Trust clearance.
  • 12+ years of experience in information technologies, data analysis, predictive modeling, and machine learning
  • Proven ability to assess data analysis needs and translate them into AI solutions
  • Experience with AI applications and machine learning models
  • Proficiency with data analysis tools and techniques
  • Experience with AI methodologies such as neural networks, decision trees, and regression models
  • Knowledge/experience with AI frameworks such as TensorFlow, scikit-learn, or PyTorch
  • Experience with AI deployment and productionizing models
  • Familiarity with Agile methodologies and working with cross-functional teams
  • Extensive understanding of Relational and Non-relational database. ( Postgres, Oracle, MongoDB , DynamoDB etc.)
  • Proficiency in ETL / Batch processing using Python, Java or Go-lang.
  • Experience in Integration with AWS cloud.
  • Experience in RAG pipelines for LLM-based applications and embedding models.
  • This position is suitable for an AI expert with extensive experience in data analysis, predictive modeling, and machine learning.
  • The role requires expertise in developing AI solutions, building predictive models, and applying machine learning algorithms to drive business insights and decision-making.

Expert Career Tips for AI Expert Roles

To succeed in a competitive market as a AI Expert, you need more than just technical skills. Here are some expert strategies to elevate your profile:

  • Build a Strong Portfolio: For technical roles, a clean GitHub or a personal project site is essential. For non-technical roles, a case study portfolio demonstrating problem-solving and impact is equally valuable. Show, don't just tell, what you have achieved in your previous positions.
  • Master the Narrative: When interviewing, use the STAR method (Situation, Task, Action, Result) to structure your answers. Quantify your results wherever possible—mentioning "increased efficiency by 20%" is much more impactful than saying "improved efficiency."
  • Continuous Learning: The industry moves fast. Whether it's staying updated with the latest AI tools or mastering a new management methodology, continuous professional development is key. Consider obtaining industry-recognized certifications that align with AI Expert requirements.
  • Networking: Connect with other professionals in similar roles. Join online communities, attend webinars, and engage in meaningful discussions on professional social networks. Often, the best opportunities come through referrals and community engagement.
  • Soft Skills Matter: Communication, empathy, and leadership are often the deciding factors between two equally qualified technical candidates. Cultivate these skills as they are universally valued across all industries and seniority levels.

Additionally, research the specific company's culture and values. Tailoring your application to show how you align with their mission can significantly increase your chances of moving forward in the process.

Salary & Compensation

Salary not disclosed; typically competitive for the role.

Work Arrangement

Type: On-Site

Standard business hours at the office.

Comprehensive Application Strategy & Hiring Process

Applying for a new role is a marathon, not a sprint. Follow this strategic approach to maximize your success rate:

1. Initial Research & Tailoring

Don't send the same resume to every employer. Spend at least 30 minutes researching the company. Look for recent news, their product roadmap, and their team structure. Modify your summary and core competencies to reflect the specific keywords found in the job description.

2. The Perfect Cover Letter

If the application allows for a cover letter, use it to tell a story that your resume cannot. Explain why you are passionate about this specific company and how your unique background makes you the perfect fit for the challenges they are currently facing.

3. Navigating the Multi-Stage Interview

Most modern hiring processes involve 3-5 stages. This typically includes a recruiter screen, a technical or skill-based assessment, a peer interview, and a final leadership round. Prepare for each stage differently: focus on enthusiasm and fit for the recruiter, technical depth for the assessment, and strategic vision for the leadership round.

4. Post-Interview Follow-Up

Always send a personalized thank-you note within 24 hours of each interview. Reference a specific topic discussed during the call to demonstrate your active listening and genuine interest in the role.

By following these steps, you demonstrate a high level of professionalism and attention to detail that sets you apart from the average applicant.

Typical Interview Process

  1. Resume screening
  2. HR call
  3. Skill interview
  4. Final manager interview
  5. Offer

Tip: Research the company's products and culture.

Global Market Intelligence & Relocation Insights

At JobSetuu, we specialize in helping talent navigate the global job market. Here is what you need to know about the current landscape in Global and beyond:

The demand for skilled professionals is increasingly borderless. For roles based in Global, understanding the local cost of living, visa requirements (if applicable), and cultural nuances is vital. If this is a remote role, consider the time zone alignment and the asynchronous communication culture of the hiring organization.

Relocation Support: Many forward-thinking companies offer relocation packages that include moving stipends, temporary housing, and legal assistance with work permits. When evaluating an offer, look beyond the base salary—consider the total compensation package, including equity, bonuses, and healthcare benefits.

Work-Life Balance Trends: Hybrid and remote work have become standard in many regions. Research the local labor laws and common practices regarding work hours and vacation time to ensure the role aligns with your lifestyle goals.

Leveraging JobSetuu's tools can help you compare salaries across different cities and understand the "purchasing power" of your potential offer, ensuring you make an informed decision for your long-term career path.

Skills & Competency Roadmap for Professional Development

To remain competitive in Professional Development, we recommend focusing on the following core competencies over the next 12-18 months:

  • Technical Mastery: Deepen your expertise in the core tools and languages relevant to your field. For developers, this might be cloud architecture; for marketers, it might be data-driven attribution modeling.
  • AI Augmentation: Learn how to leverage generative AI and automation tools to increase your productivity. Understanding how to integrate these technologies into your workflow is becoming a non-negotiable skill.
  • Leadership & Strategy: Even in individual contributor roles, the ability to think strategically and lead projects from inception to completion is highly valued. Focus on stakeholder management and high-level project planning.
  • Data Literacy: The ability to interpret data and use it to drive decisions is essential across all business functions. Familiarize yourself with data visualization and basic analytical concepts.

By investing in these areas, you not only prepare yourself for the role you are applying for today but also build a resilient foundation for the opportunities of tomorrow.

Apply via JobSetuu

Discover your next career milestone on JobSetuu. This AI Expert position is part of our commitment to bringing you the most relevant and high-impact job openings globally. At JobSetuu, we simplify your job search by aggregating premier listings and providing the tools you need to stand out. Don't miss the chance to elevate your professional journey—explore more opportunities and career insights on our platform today.

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