AIML Engineer

Why MResult?

Founded in 2004, MResult is a global digital solutions partner trusted by leading Fortune 500 companies in industries such as pharma & healthcare, retail, and BFSI. MResult's expertise in data and analytics, data engineering, machine learning, AI, and automation help companies streamline operations and unlock business value. As part of our team, you will collaborate with top minds in the industry to deliver cutting-edge solutions that solve real-world challenges.

What We Offer:

At MResult, you can leave your mark on projects at the world's most recognized brands, access opportunities to grow and upskill, and do your best work with the flexibility of hybrid work models. Great work is rewarded, and leaders are nurtured from within.

Our values — Agility, Collaboration, Client Focus, Innovation, and Integrity — are woven into our culture, guiding every decision.

What This Role Requires:

In this role, you will be a key contributor to MResult's mission of empowering our clients with data-driven insights and innovative digital solutions. Each day brings exciting challenges and growth opportunities. Here is what you will do:

Roles and Responsibilities:

• Design and implement machine learning models for classification, regression, clustering, NLP, or computer vision tasks.

• Build and maintain scalable ML pipelines for training, validation, and deployment.

• Optimize model performance and ensure robustness in production environments.

• Build and fine-tune large language models (LLMs) for tasks such as summarization, Q&A, content generation, and code synthesis.

• Relational AI experience- Design and implement relational knowledge graphs to model complex data relationships.

• Use declarative logic and reasoning frameworks to extract insights from structured data.

• Integrate AI models into production systems using APIs or microservices.

• Work with DevOps/ML-Ops teams to automate model deployment and monitoring.

• Ensure model explainability, fairness, and compliance with ethical AI standards.

• Work cross-functionally with product managers, analysts, and engineers.

• Document model architecture, data pipelines, and performance metrics. Driving Innovation, Empowering Insights

• Participate in code reviews and contribute to best practices in AI/ML strategic development.

Key Skills to Succeed in This Role:

• Bachelor's or master's degree in computer science, Data Science or AI related field.

• 5+ years of relevant experience in AI/ML engineering roles.
• Hands-on experience with:

• Generative AI models (e.g., GPT, LLaMA, Claude, DALL·E)

• Python, PyTorch/TensorFlow, Hugging Face Transformers

• Relational data modeling and knowledge graph tools (e.g., SQL, RDF, SPARQL, RelationalAI)

• Prototyping tools (Streamlit, Gradio, Flask)

• Cloud platforms (AWS, Azure)

• Strong understanding of NLP, deep learning, and model evaluation techniques.

• Experience with vector databases (e.g., FAISS, Pinecone) and retrieval-augmented generation (RAG).

• Familiarity with LangChain, LlamaIndex, or similar GenAI orchestration frameworks.

• Exposure to CI/CD, Docker, and Kubernetes for ML deployment.

• Strong communication and collaboration skills.

Manage, Master, and Maximize with MResult:

MResult is an equal-opportunity employer committed to building an inclusive environment free of discrimination and harassment.

Take the next step in your career with MResult — where your ideas help shape the future