Job
Description
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 a skilled and motivated Machine Learning Engineer with 4 years of experience to join our growing team. You will play a key role in designing, building, and deploying ML models at scale, with a strong focus on cloud-native tools and production readiness. Key Responsibilities : *Design, develop, and deploy robust machine learning models using Python. *Write and optimize SQL queries for data extraction, transformation, and analysis. *Experience with AWS SageMaker or at least an understanding of containerised deployment and Lambda. *Collaborate with data scientists, software engineers, and DevOps teams to productionize ML solutions. Role Requirements and Qualifications : *Experience with Generative AI tools and frameworks (e.g., LangChain, RAG pipelines, vector databases). *Familiarity with DevOps/MLOps practices including Infrastructure as Code (IaC) using cdk. *Experience of deployments on ECS (Fargate). *Strong problem-solving skills and the ability to work independently. 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.
