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About Us:
AceNet Consulting is a fast-growing global business and technology consulting firm specializing in business strategy, digital transformation, technology consulting, product development, start-up advisory and fund-raising services to our global clients across banking & financial services, healthcare, supply chain & logistics, consumer retail, manufacturing, eGovernance and other industry sectors.
We are looking for hungry, highly skilled and motivated individuals to join our dynamic team. If you’re passionate about technology and thrive in a fast-paced environment, we want to hear from you.

Job Summary :
We are seeking an experienced Machine Learning Engineer with 7 to 8 years of hands-on experience in building, deploying, and managing ML solutions. The ideal candidate will have deep proficiency in Python-based data science packages, strong deployment. Experience with UI enhancements using ReactJS/NodeJS is a plus, enabling full-stack contribution when needed.

Key Responsibilities:
*Develop, deploy, and manage machine learning models, including classical ML and Large Language Models (LLMs).
*Design and implement scalable data pipelines.
*Build and maintain REST/FastAPI endpoints to expose ML models.
*Use Postman / BRUNO for API testing and documentation.
*Experience with Docker for containerization.

Role Requirements and Qualifications :
*Experience on packages Pandas, Polar, Scikit-learn etc.
*Implement durable functions and orchestrators using Azure Functions.
*Familiarity with ML/LLM models and real-world deployment.
*Experience in tools like Jupyternote, Fast/Rest API , Postman / BRUNO.
*Experience in Azure Datalake /MLflow / Databricks.
*Strong in database :SQL(Postgres, MySQL) and NoSQL(Mongo, Firestore, Cosmos).
*Experience ReactJS, NodeJS, MongoDB for potential UI enhancements and Dexapp integrations.

Why Join Us:
*Opportunities to work on transformative projects, cutting-edge technology and innovative solutions with leading global firms across industry sectors.
*Continuous investment in employee growth and professional development with a strong focus on up & re-skilling.
*Competitive compensation & benefits, ESOPs and international assignments.
*Supportive environment with healthy work-life balance and a focus on employee well-being.
*Open culture that values diverse perspectives, encourages transparent communication and rewards contributions.

How to Apply:
If you are interested in joining our team and meet the qualifications listed above, please apply and submit your resume highlighting why you are the ideal candidate for this position.