Staff AI/ML Engineer - Tech Lead

Position Title:

Location:

Department:

Reports To:

Company:

Company Overview:

unifyCX is an innovative, emerging Global Business Process Outsourcing (BPO) company. With a strong presence in the U.S., Colombia, Dominican Republic, India, Jamaica, Honduras, and the Philippines, we provide cutting-edge technology solutions to businesses worldwide. Our AI-driven customer experience solutions help transform customer interactions, ensuring efficiency and personalization at scale.

Role Overview:

Staff AI/ML Engineer

Key Responsibilities:

1. AI/ML Model Development:

• Design, Train, and Optimize Models:

  Develop cutting-edge

  domain-aware machine learning models

  using both classical ML and advanced deep learning architectures.

• Multi-modal AI:

  Work on multi-modal approaches, integrating

  text, audio, and contextual data

  to create AI copilots capable of nuanced human interactions.

• Handle Complex Modeling Challenges:

  Address issues like sparse data, multi-turn dialogues, and domain adaptation by leveraging deep knowledge of AI fundamentals.

2. Build and Maintain Scalable Solutions:

• ML Pipelines:

  Design, build, and maintain robust machine learning pipelines covering

  data ingestion, feature engineering, model training

  , and

  model deployment

  to ensure they perform efficiently at scale.

• Optimization:

  Proactively identify and resolve

  bottlenecks

  in data processing or inference, ensuring minimal latency and optimal throughput.

• Model Monitoring:

  Implement practices to track

  latency, accuracy, and model drift

  to maintain performance post-deployment.

3. Research & Innovation:

• Stay Ahead of Trends:

  Keep up-to-date with the latest advancements in AI/ML research, translating innovative ideas into

  tangible product features

  .

• Proof-of-Concepts:

  Lead the creation of proof-of-concepts for emerging algorithms and technologies, showcasing their potential to transform customer experience.

4. Cross-functional Collaboration & Agile Practices:

• Collaborate with Teams:

  Work closely with

  data scientists, software engineers, and product managers

  to drive new AI-powered product initiatives.

• Agile Development:

  Participate in sprints, code reviews, and iterative development to accelerate product delivery while maintaining high-quality standards.

5. Leadership and Mentorship:

• Technical Leadership:

  Lead key AI/ML initiatives, ensuring alignment with business goals while making architectural decisions for scalable and maintainable solutions.

• Mentorship:

  Mentor junior engineers, guiding them through complex algorithmic challenges and code reviews, and fostering a culture of continuous learning.

• Stakeholder Communication:

  Communicate technical details to non-technical stakeholders effectively, ensuring informed decisions.

Qualifications:

Required:

• Education:

  Master's degree in

  Computer Science, Electrical Engineering, Applied Math, Physics

  , or related field.

• Experience:

  Minimum of

  10 years

  of hands-on industry experience or

  7+ years post-master's

  (or

  4+ years post-Ph.D.

  ) specializing in machine learning.

• Technical Expertise:

• Proficient in

  Python

  and experienced with

  PyTorch

  ,

  TensorFlow

  , and other deep learning frameworks.
• Strong knowledge of

  transformer architectures, RNNs, and text embedding techniques

  .
• Experience deploying and maintaining production ML models on

  AWS, GCP, or Azure

  .
• Familiarity with

  CI/CD pipelines, containerization

  , and

  model monitoring

  .
• Knowledge of

  version control

  using Git and project management tools such as

  JIRA/Asana

  .

Preferred:

• Ph.D.

  in

  Machine Learning

  ,

  Computer Science

  , or a related field.
• Experience in high-compliance industries like

  healthcare

  ,

  finance

  , or

  cybersecurity

  .
• Contributions to

  open-source projects

  or

  academic publications

  showcasing thought leadership in AI.
• Expertise in

  real-time processing

  ,

  distributed systems

  , and

  scalable model serving

  .

Key Skills:

• Machine Learning (ML)
• Artificial Intelligence (AI)
• Deep Learning
• Natural Language Processing (NLP)
• Python
• PyTorch/TensorFlow
• Cloud Platforms (AWS, GCP, Azure)
• MLOps & Model Deployment
• CI/CD
• Model Monitoring & Optimization
• Agile Development
• Technical Leadership & Mentorship

Why Join unifyCX

• Impact:

  Work on pioneering projects at the intersection of AI and human-centric services, directly impacting customer experiences worldwide.

• Growth:

  Thrive in a collaborative and innovative environment where you can continue to grow technically and professionally.

• Remote Flexibility:

  Enjoy the freedom of working remotely while contributing to a global team.