Senior Machine Learning Engineer

Job Description:

Who We Are!  

Pollfish, a Prodege, LLC company, is an online market research survey platform where data driven brands bring market research in-house for faster and smarter decision making. We have a proprietary network of 250M consumers/year which enables companies to connect with and understand real consumers worldwide in a fast, easy and cost-effective way.

Strategic Imperative: 

The Sr. Machine Learning Engineer will drive our AI initiatives by designing, building, and deploying advanced ML solutions that power business growth and innovation at scale. You’ll lead complex projects, mentor peers, and collaborate with global teams to deliver production-ready AI/ML systems that make a measurable business impact.

Primary Objectives: 

• Advanced AI/ML Solution Development

• Leading Model Research and Development

• Strategic Cross-functional Collaboration

• Industry Trend Analysis and Application

• AI Technique Evaluation and Innovation

• Model Training, Validation, and Optimization

• Seamless Integration and Performance Monitoring

• Mentorship and Advanced Team Support

Qualifications - To perform this job successfully, an individual must be able to perform each job duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Detailed Job Duties: 

• Develop and implement advanced AI/ML solutions aligned with strategic company goals.

• Lead the research, development, and deployment of sophisticated AI/ML models using Python,

• LangChain, LLMs, and HuggingFace transformers, as well as libraries for Deep Learning (e.g.,

• Pytorch), ML libraries (e.g., XGBoost, Scikit-learn), and NLP (e.g., spaCy, NLTK).

• Fine-tune existing models and create new models from scratch to enhance business processes and outcomes.

• Collaborate cross-functionally with senior teams to identify opportunities for AI/ML integration and optimization.

• Stay abreast of and apply industry trends and advancements to ensure our AI initiatives remain innovative and impactful.

• Research, evaluate, and implement advanced AI techniques and tools to inform decision-making.

• Collaborate with senior data and software engineers and other stakeholders to ensure seamless integration of AI/ML solutions.

• Monitor and optimize model performance on a regular basis.

• Provide advanced guidance and mentorship to junior team members and peers.

• Focus on business practicality and the 80/20 rule; very high bar for output quality, but recognize the business benefit of "having something now" vs "perfection sometime in the future".

What does SUCCESS look like?

Success in this role means delivering AI-driven solutions that improve efficiency, accelerate revenue growth, and establish us as an innovator in applied AI. You’ll be recognized for shipping high-quality models into production, fostering a culture of experimentation, and mentoring the next generation of ML talent.

The MUST Haves: 

• Bachelor's degree or higher in Computer Science, Engineering, or a related field.

• Five or more (5+) years of experience in software development/engineering focused on machine learning.

• Expertise in Python, writing production-quality code. Expertise in SQL for big data exploratory analysis and feature engineering. 

• Two or more (2+) years of experience working in cloud data environments (e.g. GCP, AWS, Databricks).

• Excellent understanding of machine learning techniques and algorithms, such as DNN, Boosting Trees, Random Forests, etc. Has the ability to decide which type of ML model to apply in each situation, or do research in this matter.

• Strong applied statistics skills, such as design of experiments and statistical tests.

• Experience with Pytorch. 

• Extensive experience in ML end-to-end development cycle: data exploration, extraction, preprocessing, training, tuning, deployment for batch and online inference, in highly scalable production clusters.

• Proven track record of deploying custom AI/ML solutions, going beyond out-of-the shelf algorithms or pre-trained models.

• Understanding of modern API design and RESTful principles.

• Experience working with large-scale datasets and distributed computing.

• Hands-on experience with Docker and/or Kubernetes.

• Effective communication and collaboration skills with stakeholders across different levels of the organization.

• Adherence to high coding standards and active participation in code reviews.

• Strong analytical and problem-solving skills.

The Nice to Haves: 

• Master's degree or PhD in AI, Machine Learning, or related fields.

• Experience with Ray for Training, Tuning and Serving ML models at scale.

• Experience with Recommender Systems in production.

• Knowledge of the Scala or Rust programming languages is a plus.

• Certification in AI/ML-related disciplines preferred.

• Prior experience in leading ML/AI projects or teams.

• Extensive experience with AI frameworks such as LangChain, LLMs, and HuggingFace, RAG.

• Experience on MLOps, CI/CD/CT

• Experience on Bayesian Statistics and Causal Inference.

Perks & Benefits:

• An attractive salary package

• Part of an innovative Global Tech Company

• Private Health Insurance

• Weekly Office Events - Catered Lunch and Breakfast

• Stocked Kitchen

• Company Outings & Quarterly Events

• Hybrid Working

• Meal Coupons - Monthly

• LinkedIn Learning & Training Opportunities/Budget

• Mental Health Benefits - Wellness Coach App Subscription

• Great office location in the city center - Parking slots available

• Gym Subscription - UP Fit

• Quarterly Charitable Giving Allowance

• Peer recognition Allowance