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Experience
4 - 9 Years
Education
Bachelor of Technology/Engineering
Nationality
Indian
Gender
Any
Vacancy
1 Vacancy
Job Description
Roles & Responsibilities
• Design, develop, and deploy machine learning models and AI agents from data ingestion and preprocessing through to production deployment and monitoring. • Research on the various AI models and LLMs available for integration • Expert in prompting and generative AI (video, text and image models) • Customize and fine-tune pre-trained AI models (including generative and LLMs) for specialized applications. • Strong knowledge in n8n automation tool (non-negotiable) • Architect and implement reliable data pipelines, feature engineering, and low-latency inference services using modern frameworks (FastAPI, Docker, Kubeflow, MLFlow). • Evaluate, validate, and optimize model performance using rigorous statistical metrics and techniques. • Collaborate with data scientists, senior engineers, and domain experts to translate business objectives into technical solutions and deliver measurable value. • Maintain code quality, documentation, and adhere to software engineering best practices (version control, CI/CD, testing).
Desired Candidate Profile
Required Skills and Experience: • 4+ years of hands-on experience in machine learning or AI development roles. • Strong proficiency in Python and core data science libraries (Pandas, NumPy, Scikit-learn). • Proven track record building and deploying models using one or more major frameworks (TensorFlow, PyTorch, Keras, or similar). • Familiarity with cloud platforms (AWS, GCP, Azure) and containerization tools (Docker, Kubernetes). • Experience implementing REST APIs, microservices, and integrating ML in production-grade environments. • Knowledge of software engineering, data structures, algorithms, and ML lifecycle management. • Understanding of model monitoring, performance tuning, ethical AI standards, and data governance. • Strong knowledge in prompting and producing generative AI outputs • Experience with generative AI, LLMs, and frameworks like LangChain, retrieval-augmented generation (RAG) Preferred Qualifications • Exposure to workflow orchestration tools (Kubeflow, MLFlow) and MLOps practices. • Familiarity with event-driven architectures, message queues, or realtime processing. • Agile/Scrum team experience and strong collaboration skills.
Employment Type
- Full Time
Company Industry
- Other
Department / Functional Area
- IT Software
Keywords
- AI Engineer
- Agentic AI Architect
- Deep Learning
- AI/ML Specialist
- Intelligent Systems Engineer
- Natural Language Processing
- AI Solutions Architect
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Alphabot Studio