AI / ML Engineer

As an AI/ML Engineer, you will research and select the right ML/LLM models and turn them into working integrations for our products and ourcustomers systems (SaaS, portals, e commerce, CRM/ERP, mobile apps, internal tools). You will own end to end delivery: from understanding the business problem to building workflows (e.g., n8n/Make) and deploying and maintaining AI features in production.

Roles Responsibilities

• Research and evaluate ML/LLM and Vision models that can improve our internal operations and our customers business processes (SaaS, portals, e commerce, CRM/ERP, mobile apps).

• Evaluate, develop, optimize, use and self host models needed for various jobs

• Design and build AI integrations for CRM, ERP, inventory, and other business systems, including Model Context Protocol (MCP) based integrations where relevant.

• Implement AI driven workflows using tools like n8n, Make, Zapier, etc., and connect them with APIs, databases, and third party services.

• Build Vision ML pipelines for video feeds and images (face/object detection, matching, analytics, quality checks, etc.).

• Develop search and e commerce features using LLMs and retrieval (Apache Solr, Elasticsearch, vector search) and connect them to front end apps and back office tools.

• Create WhatsApp and multi channel automations powered by LLMs and other AI models.

• Monitor, debug, and improve AI workflows and integrations running in production environments.

Required Skills

• Bachelor s or Master s degree in Computer Science, Machine Learning, Artificial In telligence, Data Science, or a related field.

• Hands on experience in building and deploying machine learning or LLM based features in real applications (internships, projects, or production experience).

• Strong programming skills in P ython and experience with deep learning and ML frameworks such as TensorFlow and/or PyTorch, plus common data science libraries (NumPy, pandas, scikit learn, etc.).

• Strong experience working with REST APIs, webhooks, and integrating third party systems (CRM / ERP / Inventory / WhatsApp / etc.).

• Hands on experience building automations with tools like n8n, Make, or similar low/no code workflow platforms.

• Comfort deploying models and services (Docker, cloud, simple MLOps) and wiring them into existing products.

• Solid understanding of natural language processing (NLP) and deep learning techniques, including working with LLMs and transformer-based architectures.

• Practical experience with LLM APIs (e.g., OpenAI, Gemini, etc.) for building real applications and workflows.

• Knowledge of data engineering concepts: data preprocessing, ETL/ELT pipelines, data quality, and working with relational and NoSQL databases.

• Familiarity with retrieval and search technologies (e.g., Apache Solr, Elasticsearch, vector search / vector databases) is a strong plus.

• Exposure to Vision ML (image/video processing, classical CV and/or deep learning based CV) is a plus; strong interest here is also valued.

• Familiarity with cloud platforms (AWS, Azure, GCP) and deploying ML models or data pipelines in cloud environments.

• Strong research mindset, problem solving skills, and ability to design experiments, interpret results, and iterate.

• Excellent communication and collaboration skills, comfortable working in cross functional product and client teams.

Nice-to-have / Bonus

• Experience building AI features specifically for e commerce (search, recommendation, personalization, chatbot, fraud/risk scoring, review analysis) or SaaS products (copilots, analytics insights, smart workflows).

• Experience with MLOps tools and practices (model versioning, CI/CD for ML, monitoring, observability).

• Prior work in a consulting, services, or staff augmentation context, managing multiple projects or stakeholders.

• Please include 2 3 concrete examples (links or brief descriptions) of AI/LLM or automation projects you have built or contributed to (e.g., GitHub repos, demos, case studies, Kaggle, hackathons).