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AI / ML Engineer
Job Description
Project Role : AI / ML Engineer
Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
Must have skills : Large Language Models (LLMs), Generative AI, Agentic AI
Good to have skills : NA
Minimum 3 Year(s) Of Experience Is Required
Educational Qualification : 15 years full time education
Summary:
As an AI / ML Engineer, a typical day involves designing and building advanced applications and systems that leverage artificial intelligence technologies. This role requires integrating cloud-based or on-premises pipelines to ensure solutions are production-ready and scalable. The work often includes applying generative artificial intelligence models to enhance system capabilities. Additionally, the role may involve exploring various domains such as deep learning, neural networks, conversational agents, and image analysis to create innovative and efficient AI-driven solutions. Collaboration and continuous improvement are key aspects of daily activities in this position.
Roles & Responsibilities:
Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
Must have skills : Large Language Models (LLMs), Generative AI, Agentic AI
Good to have skills : NA
Minimum 3 Year(s) Of Experience Is Required
Educational Qualification : 15 years full time education
Summary:
As an AI / ML Engineer, a typical day involves designing and building advanced applications and systems that leverage artificial intelligence technologies. This role requires integrating cloud-based or on-premises pipelines to ensure solutions are production-ready and scalable. The work often includes applying generative artificial intelligence models to enhance system capabilities. Additionally, the role may involve exploring various domains such as deep learning, neural networks, conversational agents, and image analysis to create innovative and efficient AI-driven solutions. Collaboration and continuous improvement are key aspects of daily activities in this position.
Roles & Responsibilities:
- Expected to perform independently and become an SME.
- Required active participation/contribution in team discussions.
- Contribute in providing solutions to work related problems.
- Collaborate with cross-functional teams to align AI solutions with business objectives.
- Continuously research and evaluate emerging AI technologies to enhance project outcomes.
- Document technical designs and implementation details to support knowledge sharing.
- Assist junior team members by providing guidance and support in technical challenges.
- Must To Have Skills: Proficiency in Large Language Models (LLMs), Generative AI, Agentic AI.
- Strong experience in developing and deploying AI applications using cloud AI services and on-premises infrastructure.
- In-depth understanding of deep learning frameworks and neural network architectures.
- Ability to design and implement production-grade AI pipelines ensuring scalability and reliability.
- Familiarity with chatbot development and image processing techniques.
- Experience in optimizing AI models for performance and resource efficiency.
- The candidate should have minimum 3 years of experience in Large Language Models (LLMs).
- This position is based at our Pune office.
- A 15 years full time education is required.
More Info
Job Type:
Industry:
Employment Type:
Key Skills
Neural network architectures
Generative AI
Agentic AI
On-premises infrastructure
Deep learning frameworks
Production-grade AI pipelines
Cloud AI services
Chatbot development
Large Language Models (LLMs)
About Company
Skills:
Python Programming, Generative AI, RAG and embeddings, Prompt Engineering
Skills:
Neural network architectures, Generative AI, Deep learning frameworks, Image processing techniques
Skills:
Sql, Tensorflow, Pandas, Pytorch, Spark, Splunk, Python, Monitoring for data and model drift, Scikit-learn, MLflow, Model versioning, Flink, LLM-based agents, Agentic AI, CI/CD for ML, Ciena Blue Planet UAA
Skills:
Machine Learning, Nlp, Docker, Python, AWS, Databases, Sql, Deep Learning, Gcp, Rest Apis, Azure, RAG agentic AI, vector search, embeddings, pgvector, Qdrant, vector databases, Pinecone, CI CD, model evaluation, backend systems, retrieval, experimentation, AI APIs, Generative AI, LLMs, scalable application architecture, Monitoring, prompt engineering, performance optimization, Milvus, Weaviate, production engineering practices
Skills:
Tensorflow, Natural Language Processing, Generative Adversarial Networks, Python, Pytorch, Machine Learning Algorithms, Text-to-Image, Conditional GANs, Latent Diffusion, Draping algorithms, Deep Neural Networks, InPainting, Image-to-Image, Feature engineering, Speech-to-Text, Data pre-processing, Text-to-Speech, Stable Diffusion, Texture Mapping, Fabric simulation, Transformers