Jigyasa Analytics
Website:
jigyasaanalytics.com
Job details:
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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