Job Title : AI / ML Developer
Location : Pune, Maharashtra
Job Type : Full-time, Permanent
Company : Blue Polaris Inc.
Work Type : Hybrid
About Blue Polaris
At Blue Polaris , we are redefining how businesses make decisions. As a global leader in decision automation, AI, and business architecture, we partner with Fortune 500 companies to design intelligent, transparent systems using Decision Model and Notation (DMN) and our proprietary Decisions First™ approach.
We don’t just solve problems — we model how organizations think, decide, and act. By combining AI, analytics, business architecture, and human expertise, we help enterprises improve outcomes at scale.
As we expand into Latin America, we are building a hub in Panama and seeking top talent to shape the future of decision intelligence.
Key Responsibilities
- Design and implement AI / ML models using Python , with a focus on large language models (LLMs) such as GPT , LLaMA , and others.
- Integrate AI models into real-world applications using tools and frameworks like LangChain , WatsonX , Watson Studio , Amazon SageMaker , Azure Machine Learning , etc.
- Collaborate with cross-functional teams to ensure AI / ML models are well-integrated, scalable, and efficient within client solutions.
- Stay up to date with the latest AI research, model architectures, and tooling in both open-source and proprietary ecosystems.
- [Preferred] Implement or support fine-tuning of LLMs and vision models , applying best practices and efficiency techniques.
Preferred Additions to Your Skillset (Nice to Have)
Experience with model fine-tuning techniques , including :Adapter-based methods (e.g., LoRA , QLoRA )Quantization (4-bit, 8-bit models)Parameter-efficient fine-tuning (PEFT)Hands-on familiarity with Hugging Face ecosystem , especially :TransformersPEFTDatasetsUnderstanding of training fundamentals :Forward / backward passesMatrix factorizationGradients & optimization algorithms (e.g., AdamW )Overfitting control, rank selection, and hyperparameter tuningGPU / resource management experience , including :Training large models (7B+ parameters)Memory optimization across single or multi-GPU environmentsFamiliarity with evaluation metrics like perplexity , BLEU , ROUGE , or task-specific benchmarksMandatory Skills & Qualifications
Strong proficiency in Python2–3 years of hands-on experience in machine learning projectsExperience with LLMs and other deep learning architecturesExperience with OpenAI APIs or other open-source foundation modelsFamiliarity with tools like :LangChain , WatsonX , Watson StudioAzure ML , AWS SageMaker , Amazon BedrockGit , DockerProven ability to integrate statistical and AI-based models into applicationsEducation
Bachelor’s degree in computer science , Engineering, or a related field (preferred)Experience Requirements
Total work experience : 2–3 yearsPython development : 2+ yearsMachine Learning : 2+ yearsLLMs or NLP-based systems : 1–2 years