AI Lead

Aptus Data Labs; Bengaluru; On-site; INR 1,000,000 - 1,500,000; Full time

Job summary

A forward-thinking tech company in Bengaluru is seeking an AI engineer to drive the AI strategy and deliver innovative solutions. The successful candidate will mentor junior engineers, architect scalable AI pipelines, and ensure compliance with ethical AI principles. Required qualifications include a degree in Computer Science, strong programming skills in Python, and experience with Generative AI technologies. This position offers an exciting opportunity to work at the forefront of AI technology and make a significant impact within the organization.

Qualifications

• Proven experience in developing and implementing Gen AI algorithms and models.
• Solid background in machine learning, deep learning, and natural language processing.
• Experience with AI frameworks such as TensorFlow, PyTorch, or Keras.

Responsibilities

• Drive the AI roadmap to align with the company’s strategic objectives.
• Mentor junior AI engineers and data scientists.
• Architect scalable AI pipelines for production-grade applications.
• Ensure compliance with ethical AI principles and champion AI governance frameworks.

Skills

Python

SQL

Predictive modeling

Natural Language Processing (NLP)

Machine Learning (ML)

Cloud

Generative AI

Data analysis

Apache Spark

TensorFlow

PyTorch

Education

Bachelor’s or Master's Degree in Computer Science

Tools

Large Language Models (OpenAI, ChatGPT, GPT-4)

CI/CD

AWS

Azure

MLflow

Kubeflow

Job description

We are seeking a passionate and driven AI engineer with a proven track record of building and deploying cutting‑edge AI solutions. As a leader you will be the driving force behind our AI strategy, providing technical guidance, fostering innovation and ensuring the successful delivery of AI projects.

Responsibilities

• Drive the AI roadmap in alignment with the company’s strategic objectives.
• Mentor junior AI engineers and data scientists, fostering a culture of continuous learning and innovation.
• Ensure compliance with ethical AI principles, including bias mitigation, model explainability, and data privacy.
• Champion AI governance frameworks to align with internal and external regulatory requirements.
• Collaborate with business leaders, product managers, and domain experts to identify high-impact AI opportunities.
• Translate business requirements into technical specifications and deliverable solutions.
• Architect scalable AI pipelines for production‑grade applications.
• Optimize inference performance, model latency, and compute efficiency across cloud and edge environments.
• Implement robust model monitoring systems for drift detection, retraining, and feedback loops.
• Ensure AIOps/MLOps best practices for lifecycle management and versioning.
• Experience designing end‑to‑end AI solutions across multiple domains (e.g., computer vision, NLP, forecasting).
• Hands‑on experience with vector databases, RAG architectures, prompt engineering, or agentic workflows (e.g., LangChain or LlamaIndex).
• Track and report on the business value generated by AI initiatives (ROI, efficiency gains, etc.).
• Support in building business cases for AI investments.
• Designing and implementing AI and machine learning models to solve business problems.
• Collaborating with cross‑functional teams to understand requirements and deliver tailored AI solutions.
• Conducting research and prototyping new AI algorithms and techniques.
• Developing and maintaining AI models to improve performance and accuracy.
• Analyzing and interpreting complex data sets to extract meaningful insights.
• Documenting and presenting technical solutions to both technical and non‑technical stakeholders.
• Keeping up‑to‑date with the latest advancements in AI and machine learning technologies.

Requirements

• Bachelor’s or Master's Degree in Computer Science or other related fields.
• Strong technical & analytical skill (Python OR R, SQL, predictive modelling, NLP/AI, Cloud, Generative AI, MLops, AIops, etc).
• Experience with Large Language Models like OpenAI API, ChatGPT, GPT‑4, Bard and Langchain, HuggingFace Transformers, etc.
• Proven experience in developing and implementing Gen AI algorithms and models.
• Solid background in machine learning, deep learning, and natural language processing.
• Experience with AI frameworks such as TensorFlow, PyTorch, or Keras.
• Proficient in handling and analysing large datasets using SQL or NoSQL databases.
• Strong programming skills in Python.
• Experience in model deployment & operation using CI/CD and cloud platforms (AWS, Azure).
• Strong problem‑solving and analytical skills.
• Excellent communication and teamwork abilities.
• Apache Spark, Databricks, Apache Airflow, Prefect, Kafka, Delta Lake, dbt (data build tool).
• Worked on tools like MLflow, Kubeflow, BentoML, Seldon, Ray Serve, Amazon SageMaker, Azure ML, Google Vertex AI, Weights & Biases (W&B), Neptune.ai, ArizeAI (model monitoring).
• LangChain, LlamaIndex (for RAG applications), Haystack, Rasa (for chatbots), OpenAI APIs, Anthropic Claude, Mistral, Embedding Models: OpenAI, Cohere, Sentence Transformers; Vector DBs: Pinecone, Weaviate, FAISS, Qdrant.