Artificial Intelligence/Machine Learning Engineer

AI / ML Engineer – Associate

What You'll Do:

As an AI/ML Engineer, you’ll play a vital role in building cutting-edge social solutions for a global client base within the Explore mission. We’re seeking a proactive, quick-learning engineer who thrives in a collaborative environment. The culture values continuous learning, team autonomy, and a DevOps mindset.

Development teams take full ownership of their subsystems and infrastructure, including running on-call rotations. We seek individuals with experience in Cloud infrastructure and containerization. Data Preparation, Model Lifecycle (training, serving, and registries), Natural Language Processing (NLP), and Large Language Models (LLMs) are key focus areas.

In this role, you’ll have the opportunity to push the boundaries of the technology stack, from modifying open-source libraries to innovating with existing technologies. If you’re passionate about distributed systems at scale and finding new ways to extract insights from vast amounts of data, this opportunity is for you.

What You'll Bring:

• Bachelor’s or Master’s degree in Computer Science or equivalent, or demonstrable

experience.

• Proven experience as a Software Engineer in AI/ML and Data Science.

• 4–7 years of relevant experience.

• Strong knowledge of Python and software engineering principles (4+ years).

• Good knowledge of cloud infrastructure and containerization (4+ years).

• Docker is required.

• Azure or AWS experience is required (Azure preferred).

• Hands-on knowledge of TensorFlow / PyTorch (4+ years).

• Understanding of ML-Ops principles (3+ years).

• Experience with Data Preparation & Model Lifecycle (training, serving, registries).

• Strong theoretical knowledge in one or more areas of AI/Data Science:

o Natural Language Processing (NLP) & LLMs

o Neural Networks

o Topic Modelling & Clustering

o Time Series Analysis (TSA) – anomaly detection, trend analysis, forecasting

o Retrieval Augmented Generation (RAG)

o Speech-to-Text

• Excellent communication and collaboration skills.

What We Offer:

• Comprehensive paid time off for work-life balance.

• Health insurance tailored for employees.

• Employee assistance programs covering mental health, financial, legal, wellness, and

more.

• Energetic, hybrid work environment for flexibility.

• Family leave program with benefits that grow with tenure.

• Inclusive community and ongoing professional development opportunities.

Where You'll Work: