Senior AI/ML ENGINEER

Join Genese Solution as an senior AI/ML Engineer! Develop and deploy AI models, work with LLMs and RAG systems, and optimize data pipelines using AWS and modern architectures. Enhance AI performance, build scalable solutions, and ensure ethical standards. Apply now for a rewarding career in AI and machine learning!

Reports to: Technical Consultant

Shift: Monday to Friday, Remote

Position Overview

Genese solution is seeking a highly skilled and motivated AI/ML Engineer with a strong foundation in programming and data engineering. The ideal candidate will be responsible for designing, developing, and deploying AI/ML models while ensuring seamless data integration and pipeline optimization. The role requires a blend of hands-on machine learning expertise and software engineering proficiency to drive intelligent insights and business solutions.

Roles and Responsibilities

Key Responsibilities:

Building complex multi-agent AI agents that are highly scalable
Work with LLMs, embedding models, and Retrieval-Augmented Generation (RAG) systems.
Engineer and refine prompts to enhance AI performance and output quality.
Deploy and scale AI solutions using AWS (Lambda, cloud services) and modern architectures.
Ensure AI applications align with ethical standards, data privacy, and real-world scalability.
Develop, fine-tune, and optimize generative AI models using TensorFlow, PyTorch, or Hugging Face.

Requirements:

Work with current state of the art LLMs and embedding models.
Experience building agentic AI systems.
Experience with debugging traces of LLM calls to identify errors/optimizations.
Experience with building Retrieval-Augmented Generation (RAG) systems.
Engineer and refine prompts to enhance AI performance and output quality.
Knowledge of extracting structured outputs from LLMs.
Experience using LLM APIs, embedding models, and RAG-based AI architectures.
Strong skills in Python, AI model deployment, and AWS services (Lambda preferred).
Knowledge of LangChain, Pydantic, and scalable AI workflows.
Proficiency in prompt engineering and optimization techniques.
Some UI/UX experience is a plus.

Preferred:

Experience in NLP, computer vision, or multimodal AI.
Proven track record of deploying AI solutions at scale.
Research background in generative AI models.

Qualifications

Minimum 5 years of experience in AI/ML development and data engineering.
Proficiency in programming languages Python.
Strong experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn).
Hands-on experience with data engineering tools like Apache Spark, Apache NiFi, Airflow, or similar.
Expertise in handling large-scale datasets and implementing ETL/ELT pipelines.
Experience with cloud platforms (AWS, Azure) and containerization technologies (Docker, Kubernetes).
Knowledge of database technologies (SQL, NoSQL, Data Lakes, Data Warehouses).

Preferred Qualifications:

Experience in NLP, Generative AI, or deep learning models.
Knowledge of Big Data ecosystems such as Hadoop, Trino, or MinIO.
Understanding of AI ethics, bias mitigation, and responsible AI principles.
Prior experience in the financial or banking sector is a plus.

What We Offer

Work in a multinational company operating in the Cloud & ICT domain, based out of the UK and operating in Australia, India, Nepal, Pakistan, and Bangladesh
Best in class open, progressive, professional, and equal opportunity work environment
Closely knit and supportive team members and a culture where your contributions, opinions, and diversity is welcome, respected, & encouraged
Exposure to multi-disciplinary skill areas (including team management & leadership) in a vibrant start-up ecosystem with deep work involving world-class leaders like Amazon, Microsoft, Google, Alibaba, DigitalOcean, and Facebook
Opportunity to travel regionally (as part of assignment/ training and development or delivery) in Nepal, India, Pakistan, Bangladesh, or Srilanka

Our Commitments

We believe that diversity drives innovation. At Genese Solution, we are dedicated to creating a work environment where everyone, regardless of race, gender identity, age, religion, disability, or background, feels respected and included.

Interested candidates meeting the above criteria are requested to send their CV and cover letter to h***@******************* clearly mentioning the position you are applying for in the subject.

NOTE:

Only shortlisted candidates will be contacted for further selection process.

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