AI/ML Engineer (Junior)

Jigyasa Analytics is looking for an AI / Machine Learning Engineer with 1–2 years of experience to support the deployment and operationalization of machine learning and AI solutions. Responsibilities

• Deploy machine learning and AI models to cloud environments (AWS, Azure, GCP).
• Build, maintain, and automate data pipelines and model workflows.
• Develop and manage process-flow automation using tools such as

Airflow, Windmill , or similar orchestration platforms.

• Containerize applications and models using Docker.
• Collaborate with data scientists to transition models from development to production.
• Monitor and maintain deployed solutions to ensure reliability and performance.
• Contribute to MLOps and deployment best practices. Qualifications
• 1–2 years of professional experience in Machine Learning Engineering, Data Engineering, MLOps, or a related field.
• Proficiency in Python.
• Experience working with cloud platforms (AWS, Azure, or GCP).
• Hands-on experience with Docker and containerized deployments.
• Experience building and managing data pipelines.
• Familiarity with workflow orchestration and automation tools such as Airflow, Windmill, Prefect, Dagster, or similar platforms.
• Understanding of APIs, deployment processes, and software engineering best practices.
• Strong problem-solving and communication skills. Preferred Qualifications
• Experience with Kubernetes or other container orchestration technologies.
• Familiarity with CI/CD pipelines.
• Exposure to Generative AI, LLM applications, or RAG architectures.
• Experience with model monitoring and version control tools. Additional Information
• This is a fully remote position based in India.
• We welcome applications from professionals returning to the workforce after a career break or sabbatical.
• Compensation will be commensurate with experience and qualifications.
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