MLOPS Engineer

MLOPS Engineer

Fractal Analytics is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite empowers imagination with intelligence. And that it will be such Fractalites that will continue to build the company for the next 100 years.

Please visit Fractal | Intelligence for Imagination for more information about Fractal.

Location: Remote

Note: This Position Is Not Eligible for Immigration Sponsorship at This Time.

Functional Description:

AI/ML Engineers code and develop software that deploys ML models and algorithms in production. Communicate and present complex analytics results and concepts to leadership and internal stakeholders. Employee AI and/or ML that may include natural language processing (NLP), natural language understanding (NLU), semantic understanding, intent classification, computer vision, deep learning, and automatic speech recognition (ASR). Applies deep learning technologies to give computers that capability to visualize, learn and respond to complex situations. May adapt machine learning to areas such as artificial intelligence, robotics and other products that allow users to have an interactive experience. Work with large scale computing frameworks, data analysis systems. Employees in this role are expected to apply knowledge of experimental methodologies, statistics, optimization, probability theory and machine learning using code for tool building, statistical analysis, using both general purpose software and statistical languages. AI/ML Applied Scientists specialize in advancing and applying artificial intelligence through research-driven, experimental research, and translate research findings into practical AI solutions for the organization.

• Assesses and interprets customer needs and requirements.
• Identifies solutions to non-standard requests and problems.
• Solves moderately complex problems and/or conducts moderately complex analyses.
• Works with minimal guidance; seeks guidance on only the most complex tasks.
• Translates concepts into practice.
• Provides explanations and information to others on difficult issues.
• Coaches, provides feedback, and guides others.
• Acts as a resource for others with less experience.

Responsibilities:

• Developing and implementing models and methods that extend and improve LLM capabilities and reliability.

• Research, design and implement scalable machine learning models for real-time processing.

• Developing new solutions and science best practices in Responsible AI.

• Developing our research and innovation agenda.

• Defining the strategies, priorities, and metrics for technical progress in Deep Learning, RAG, LLMs, and Agents

• Driving adoption of new science and best practices among service teams.

Job Qualifications:

• Master degree in computer science, Machine Learning, statistics, engineering, mathematics, or another STEM discipline

• 5+ years of experience using ML to solve problems in natural language processing (NLP), multimodal RT processing, and/or other AI domains.

• 3+ years of DL frameworks such as PyTorch and/or TensorFlow

• 3+ years of developing machine learning applications.

• 3+ years of experience in developing Responsible AI metrics, best practices, and/or solutions

• 3+ years of solid ML and RL research and developing experience

Preferred Qualifications:

• Strong technical and scientific knowledge in generative AI.

• Experience with Advanced Deep Learning, applied math and statistics.

• Ph.D. in Machine Learning with focus on NLP and/or GenAI

• Having experience fine-tuning LLMs and/or improving pre-train LLM’s performance

Pay:

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is: $140,000 - $145,000. In addition, you may be eligible for a discretionary bonus for the current performance period.

Benefits:

As a full-time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of employment with the Company. In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms. The Company provides for 11 paid holidays and 12 weeks of Parental Leave. We also follow a “free time” PTO policy, allowing you the flexibility to take time needed for either sick time or vacation.

Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.