AI/ML Engineer

• *Role Overview**

We are looking for a Senior AI/ML Engineer with 5\+ years of hands\-on experience designing, building, and deploying machine learning and AI\-driven systems in production. You will work across the full ML lifecycle from data pipelines and model development to deployment and monitoring \- partnering closely with product, engineering, and client teams to deliver intelligent solutions that create measurable business impact.

 Design, develop, and deploy machine learning models and AI\-driven features for production applications.

 Build and maintain data pipelines for training, evaluation, and inference, ensuring data quality and reproducibility.

 Fine\-tune and integrate large language models (LLMs) and other foundation models into client\-facing products.

 Design and implement retrieval\-augmented generation (RAG) pipelines, vector search, and prompt engineering strategies.

 Develop and expose model inference APIs, ensuring low latency, scalability, and reliability.

 Collaborate with backend and mobile engineering teams to integrate AI capabilities into existing platforms.

 Establish MLOps practices, including model versioning, CI/CD for ML, and automated monitoring for drift and performance degradation.

 Evaluate model outputs for accuracy, bias, and safety, and implement guardrails where required.

 Optimize model performance, inference cost, and compute utilization across cloud environments.

 Stay current with emerging AI/ML research and tooling, and recommend adoption where it adds client value.

 Document architecture, experiments, and model decisions to support internal knowledge sharing and client delivery.

• *EDUCATION \& QUALIFICATIONS**

Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field or equivalent practical experience.

• *Must\-have Skills:**

 Local candidates only (Must reside in/be local to Bangalore or Chennai).

 Finance, banking, or investment sector domain preferred.

Exceptional Communication skills required.

 5\+ years of professional experience in machine learning, deep learning, or applied AI engineering.

 Strong proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or scikit\-learn.

 Hands\-on experience working with LLMs (OpenAI, Anthropic, open\-source models) via APIs or self\-hosted deployment.

 Practical experience with RAG architectures, embeddings, and vector databases (e.g., Pinecone, Weaviate, FAISS, pgvector).

 Solid understanding of the ML lifecycle: data preprocessing, feature engineering, training, evaluation, and deployment.

 Experience deploying models as REST/GraphQL services using frameworks such as FastAPI or Flask.

 Familiarity with cloud AI/ML platforms (AWS SageMaker, Azure ML, or GCP Vertex AI).

 Working knowledge of containerization and orchestration (Docker, Kubernetes) for model deployment.

 Experience with MLOps tooling such as MLflow, Weights \& Biases, or similar for experiment tracking.

 Strong understanding of prompt engineering, fine\-tuning, and model evaluation techniques.

 Proficiency with Git\-based version control and collaborative development workflows.

 Strong analytical and problem\-solving skills, with the ability to work independently in a client\-facing, fast\-paced environment.

• *Nice\-to\-have Skills:**

 Experience with agentic AI frameworks (LangChain, LlamaIndex, or similar).

 Exposure to fine\-tuning open\-source LLMs and parameter\-efficient techniques (LORA, QLORA).

 Familiarity with data engineering tools such as Airflow, Spark, or Kafka.

 Understanding of AI governance, responsible AI practices, and data privacy considerations.

 Prior experience in an AI consulting or client\-delivery environment, managing multiple concurrent projects.

 Exposure to fintech, mobile, or cloud\-platform domains.

• *IDEAL CANDIDATE PROFILE \& PREFERENCES**

Finance, banking, or investment sector domain preferred.

Local candidates only (Must reside in/be local to Bangalore or Chennai).

Exceptional Communication skills required.

Pay: ₹408,424\.75 \- ₹1,679,213\.11 per year

Application Question(s)

• Financial, Banking or Investment sector domain preferred
• Immediate to 15 days joiners preferred

Experience

• Machine learning: 4 years (Preferred)

Work Location: In person