Lead/Sr AI Engineer
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.
Location- Bangalore
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 explain
ability, 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
· Analysing
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
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
· Client
Interaction
· Project
Handling experience
· 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, Arize
AI (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
Skills Required
- Bachelor's or Master's degree in Computer Science or a related field
- Strong technical and analytical skills
- Experience with Python or R, SQL, predictive modeling, NLP or AI, cloud platforms, generative AI, MLOps, and AIOps
- Experience with large language models, including OpenAI API, ChatGPT, GPT-4, Bard, LangChain, or Hugging Face Transformers
- Proven experience developing and implementing generative AI algorithms and models
- Solid background in machine learning, deep learning, and natural language processing
- Experience with TensorFlow, PyTorch, or Keras
- Proficiency handling and analyzing large datasets using SQL or NoSQL databases
- Strong programming skills in Python
- Experience deploying and operating models using CI/CD and cloud platforms such as AWS or Azure
- Strong problem-solving and analytical skills
- Excellent communication and teamwork abilities
- Client interaction experience
- Project handling experience
- Experience with Apache Spark, Databricks, Apache Airflow, Prefect, Kafka, Delta Lake, or dbt
- Experience with MLflow, Kubeflow, BentoML, Seldon, Ray Serve, SageMaker, Azure ML, Vertex AI, Weights & Biases, Neptune.ai, or Arize AI
- Experience with LangChain, LlamaIndex, Haystack, Rasa, OpenAI APIs, Anthropic Claude, Mistral, embedding models, or vector databases
What We Do
Aptus Data Labs is a global data engineering and AI consulting company helping enterprises modernize their data landscapes, accelerate AI adoption, and build scalable digital and product capabilities. Its expertise spans artificial intelligence, generative AI, data engineering, cloud solutions, and industry platforms, supporting organizations in pharmaceuticals, financial services, manufacturing, supply chain, retail, consumer packaged goods, and technology.
