Experience Required : Minimum 6+ Years

Location : Remote/ Work From Home

Job Type : Contract to Hire (1 Year/ Renewable)

Notice Period : Immediate to 15 Days Max

Mode of Interview : Virtual

Job Summary :

- Experience : Minimum 5+ years of experience in consulting or technology roles, with at least 3 years focused on AI & ML solutions.

- Education : Bachelor's or Masters in Computer Science, AI, Engineering, or related field.

- Leadership Quality : Proven track record in leading cross-functional teams and delivering enterprise-grade AI projects with tangible business impact.

- Business Consulting Mindset : Strong problem-solving, stakeholder communication, and business analysis skills to bridge technical and business domains.

- Python & AI Proficiency : Advanced proficiency in Python and popular AI/ML libraries (e.g., scikit-learn, PyTorch, TensorFlow, spaCy, NLTK). Solid understanding of NLP, embeddings, semantic search, and transformer models.

- LLM Ecosystem Fluency : Experience with OpenAI, Cohere, Hugging Face models; prompt engineering; tool/function calling; and structured task orchestration.

- Independent Contributor : Ability to own initiatives end-to-end, take decisions independently, and operate in fast-paced environments.

Preferred Skills :

- Cloud Platform Expertise : Strong familiarity with Microsoft Azure (preferred), AWS, or GCP including compute instances, storage, managed services, and serverless/cloud-native deployment models.

- Programming Paradigms : Hands-on experience with both functional and object-oriented programming in AI system design.

- Hugging Face Ecosystem : Proficiency in using Hugging Face Transformers, Datasets, and Model Hub.

- Vector Store Experience : Hands-on experience with FAISS, Qdrant, Pinecone, ChromaDB.

- LangChain Expertise : Strong proficiency in LangChain for agentic task orchestration and RAG pipelines.

- MLOps & Deployment : CI/CD for ML pipelines, MLOps tools (MLflow, Azure ML), containerization (Docker/Kubernetes).

- Cloud & Service Architecture : Knowledge of microservices, scaling strategies, inter-service communication.

- Programming Languages : Proficiency in Python and C# for enterprise-grade AI solution development.