Senior AI/ML Engineer

Senior AI Engineer

You’ll own architecture and delivery, mentor engineers, and choose the right technique for the problem, whether that’s contrastive learning over images, anomaly detection on streams, gradient-boosted models for tabular data, or a transformer for sequence modelling.

You’ll join a collaborative team that values clear thinking, craftsmanship, and kind candor. We move iteratively, celebrate learnings, and balance ambition with pragmatism.

Key Responsibilities:

Full-Stack Development:

• Develop and maintain both the

  front-end

  and

  back-end

  of web applications using frameworks such as

  React, FastAPI, Flask, and NodeJS

  .
• Design and implement responsive, user-friendly interfaces for AI-driven solutions.
• Build and manage APIs, databases, and server-side logic to support AI models and applications.

AI Integration:

• Collaborate with data scientists to integrate

  machine learning models

  into full-stack applications.
• Develop efficient and well-documented

  Python

  code for AI model implementation.
• Use libraries such as

  TensorFlow, PyTorch,

  and

  scikit-learn

  for data processing and model development.

Cloud & DevOps:

• Deploy and manage applications on

  cloud platforms

  like AWS, Azure, and Google Cloud.

Collaboration & Agile Development:

• Work closely with cross-functional teams in an

  Agile

  environment, participating in sprints and delivering incremental improvements.
• Ensure high-quality software development with a focus on clean code, documentation, and best practices.

Key Skills & Competencies:

Educational Requirements:

• Bachelor’s, Master’s, or PhD in Computer Science, AI, Software Engineering, or a related field.

AI Engineering & Integration:

• Design, implement, and ship machine learning systems to production across AI use cases (e.g., Computer Vision, Un/Self-Supervised, Time-Series/Forecasting, GenAI).
• Translate problem statements into baselines, experiments, and metrics; select appropriate, conventional techniques (not hype-driven) that meet KPIs.
• Develop well-structured Python code for data processing, training, evaluation, packaging, and serving (batch or real-time).
• Own model optimization for latency, throughput, and cost (profiling, quantization/distillation where relevant).

MLOps & Production Skills:

• Hands-on with Docker and CI/CD; experience deploying ML to

  AWS/Azure/GCP

  .
• Experience with experiment tracking and model registries; monitoring for drift/performance and online/offline evals.
• Good software engineering hygiene: testing where it matters, type hints where useful, and maintainable code structure.
• Kubernetes, streaming (Kafka/Kinesis), or feature stores are

  nice to have

  , not mandatory.

Data & Systems Awareness:

• Comfort working with SQL and data processing frameworks; ability to design reliable data pipelines feeding models.
• Understanding of performance/cost trade-offs; ability to optimize inference and storage footprints.

Project Experience:

• Demonstrable track record of multiple challenging, production AI projects using standard, appropriate techniques (across multiple realms of AI) with clear KPIs/impact.
• Ready to discuss problem framing, model/feature choices, evaluation design, deployment approach, and post-launch results.

Project Experience:

• Candidates should have worked on

  at least 5 production-grade AI/ML projects

  and be ready to discuss these projects during the interview process.

Why MSBC Group?

• Innovative Work Environment:

  Work in a state-of-the-art office in Ahmedabad, fostering creativity and productivity.

• Comprehensive Learning:

  Gain hands-on experience in both

  AI development

  and

  full-stack software engineering

  .

About MSBC Group:

For over 20 years, MSBC Group has been a leader in delivering tailored software solutions and outsourcing services to clients across various industries. From FinTech to logistics and manufacturing, we pride ourselves on developing bespoke, cutting-edge applications that drive business growth and efficiency.

Our modern 20,000 sq. ft. business center in Ahmedabad is equipped with the latest infrastructure, data centers, and collaborative workspaces designed to promote innovation and excellence. We are committed to advancing technology through people, processes, and AI-driven solutions.