Associate Product Manager

Python Developer - AI/MLYour Responsibilities

• Develop, train, and optimize ML models using PyTorch, TensorFlow, and Keras.
• Build end-to-end LLM and RAG pipelines using LangChain and LangGraph.
• Work with LLM APIs (OpenAI, Anthropic Claude, Azure OpenAI) and implement prompt engineering strategies.
• Utilize Hugging Face Transformers for model fine-tuning and deployment.
• Integrate embedding models for semantic search and retrieval systems.
• Work with transformer-based architectures (BERT, GPT, LLaMA, Mistral) for production use cases.
• Implement LLM evaluation frameworks (RAGAS, LangSmith) and performance optimization.
• Design and maintain Python microservices using FastAPI with REST/GraphQL APIs.
• Implement real-time communication with FastAPI WebSockets.
• Implement pgvector for embedding storage and similarity search with efficient indexing strategies.
• Integrate vector databases (pgvector, Pinecone, Weaviate, FAISS, Milvus) for retrieval pipelines.
• Containerize AI services with Docker and deploy on Kubernetes (EKS/GKE/AKS).
• Configure AWS infrastructure (EC2, S3, RDS, SageMaker, Lambda, CloudWatch) for AI/ML workloads.
• Version ML experiments using MLflow, Weights & Biases, or Neptune.
• Deploy models using serving frameworks (TorchServe, BentoML, TensorFlow Serving).
• Implement model monitoring, drift detection, and automated retraining pipelines.
• Build CI/CD pipelines for automated testing and deployment with ≥80% test coverage (pytest).
• Follow security best practices for AI systems (prompt injection prevention, data privacy, API key management).
• Participate in code reviews, tech talks, and AI learning sessions.
• Follow Agile/Scrum methodologies and Git best practices.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, AI/ML, or related field.
• 2–5 years of Python development experience (Python 3.9+) with strong AI/ML background.
• Hands-on experience with LangChain and LangGraph for building LLM-powered workflows and RAG systems.
• Deep learning experience with PyTorch or TensorFlow.
• Experience with Hugging Face Transformers and model fine-tuning.
• Proficiency with LLM APIs (OpenAI, Anthropic, Azure OpenAI) and prompt engineering.
• Strong experience with FastAPI frameworks.
• Proficiency in PostgreSQL with pgvector extension for embedding storage and similarity search.
• Experience with vector databases (pgvector, Pinecone, Weaviate, FAISS, or Milvus).
• Experience with model versioning tools (MLflow, Weights & Biases, or Neptune).
• Hands-on with Docker, Kubernetes basics, and AWS cloud services.
• Skilled in Git workflows, automated testing (pytest), and CI/CD practices.
• Understanding of security principles for AI systems.
• Excellent communication and analytical thinking.

Nice to Have

• Experience with multiple vector databases (Pinecone, Weaviate, FAISS, Milvus).
• Knowledge of advanced LLM fine-tuning (LoRA, QLoRA, PEFT) and RLHF.
• Experience with model serving frameworks and distributed training.
• Familiarity with workflow orchestration tools (Airflow, Prefect, Dagster).
• Knowledge of quantization and model compression techniques.
• Experience with infrastructure as code (Terraform, CloudFormation).
• Familiarity with data versioning tools (DVC) and AutoML.
• Experience with Streamlit or Gradio for ML demos.
• Background in statistics, optimization, or applied mathematics.
• Contributions to AI/ML or LangChain/LangGraph open-source projects.

Job Overview:

We are looking for a skilled Full Stack Developer with strong expertise in .NET/C#, React or Angular, and Azure basics to design, develop, and deploy modern web applications. The ideal candidate should have solid experience building scalable, secure, and high-performance solutions, with a passion for clean code and collaboration.

Key Responsibilities:

• Design, develop, and maintain web applications using C#, .NET Core, and SQL Server.
• Build responsive front-end user interfaces using React or Angular with TypeScript.
• Integrate and consume RESTful APIs and ensure smooth front-end/back-end communication.
• Deploy and manage applications on Microsoft Azure using basic PaaS services (e.g., App Services, Functions, Storage, Key Vault).
• Collaborate with cross-functional teams to gather requirements, define architecture, and deliver solutions.
• Write clean, testable, and maintainable code following best practices and participate in code reviews.
• Troubleshoot, debug, and optimize application performance.
• Follow Agile development practices for planning, testing, and delivery.

Required Skills and Experience:

• Strong hands-on experience with C#, .NET Core/.NET 6+, and object-oriented programming.
• Proficiency in front-end frameworks like React or Angular with TypeScript, HTML, and CSS.
• Experience working with SQL Server or other relational databases.
• Basic knowledge of Microsoft Azure services such as App Services, Functions, Storage, and Key Vault.
• Familiarity with REST APIs, version control systems (e.g., Git), and CI/CD pipelines.
• Good understanding of software development best practices (SOLID principles, unit testing).
• Strong problem-solving and communication skills.

Preferred Qualifications:

• Experience with Azure DevOps or similar tools for build and release pipelines.
• Exposure to containerized applications (e.g., Docker, Kubernetes).
• Knowledge of Agile methodologies (Scrum or Kanban).

Reviewing resumes and applications

Conducting initial telephonic screenings and scheduling interviews

Managing the end-to-end recruitment process

Sourcing candidates through job portals and social media

Client coordination and relationship management

Negotiation and candidate engagement throughout the hiring cycle

Compensation & Benefits:

Competitive salary based on experience and interview performance

Provident Fund, Medical & Accident Insurance

24 days of annual paid leave

Performance-based incentives

The ideal candidate must be a seasoned, high-energy professional possessing a strong sense of urgency with a strong performance-based track record of success. He or she must be capable of make cold calling and achieve the assigned sales target and eventually generate revenues for the organization. Make the sales pitch according the customers behaviour and requirements.

Responsibilities:

• Participate and lead Business Requirements gathering, documentation of BRD and overall Solution design.
• Implementation of designed system in NetSuite and support to project team.
• Ensure the best practices implementation based on Industry standard.
• Need to be involved on Reviews, check feasibility of solution and functional fitment as per NetSuite and align customer expectations and NetSuite capabilities to ensure smooth project delivery.
• Prepare test cases of modules implemented, validate the deliverables before Client testing and UAT.
• Follow up with Client and Support for issue resolution.
• Documenting the resolution of issues and sharing with the internal team on ongoing basis.
• Interact with the key end users and business owners to map applications to standard business processes and conduct gap analysis
• Suggest process improvements based on the application capability and industry best practices
• Support all formal documentation of implementation and provide relevant functional inputs to technical team
• Contribute to the training and development of key NetSuite team.
• Support in Pre Sales, demos and estimates as an when required.
• Ensure weekly Client reporting and support to Project Management team.

Qualifications/Skills:

• Bachelor’s degree preferably in Engineering, MCA, MSC, or Accounting.
• Minimum 5 years’ experience in NetSuite with 8 to 10 years of end-to-end in NetSuite Implementation.
• Good knowledge of all NetSuite Modules with strong understanding of functional processes
• NetSuite Foundation / ERP Consultant certification preferred.
• Demonstrated experience in translating customer business requirements into workable business solutions, preferably on SaaS.