India Openings

Machine Learning Engineer – AI, GenAI

Job ID: Mac-ETP-Pun-693

Location: Pune,Bangalore,Other

Bridgenext is a global digital consultancy that helps clients innovate with intention and realize their digital aspirations by creating digital products, experiences, and solutions around what real people need. Our global consulting and delivery teams facilitate highly strategic digital initiatives through digital product engineering, automation, data engineering, and infrastructure modernization services, while elevating brands through digital experience, creative content, and customer data analytics services.


Don’t just work, thrive. At Bridgenext, you have an opportunity to make a real difference – driving tangible business value for clients, while simultaneously propelling your own career growth. Our flexible and inclusive work culture provides you with the autonomy, resources, and opportunities to succeed.


Position Description:


We are looking for members with hands-on ML experience who will work on the internal and customer-based projects for Bridgenext, someone who can solve business challenges by creating innovative and advanced Gen AI applications. These applications are designed to cater to the needs of both internal and external users. You will be responsible for developing the tools and infrastructure within the ML platform.


Must have skills:


  • 4 to 8 years of relevant work experience (or equivalent), involved with the application of Machine Learning to business problems in a commercial environment.
  • Strong programming experience with Python / Java / Scala
  • Familiarity with LLMs, such as fine tuning, prompt engineering, data synthesis, automatic evaluation, and retrieval-augmented generation (RAG)
  • Experience in deploying large-scale language models like GPT, BERT
  • Experience with cloud frameworks like AWS sagemaker for training, evaluation and serving models using TensorFlow, PyTorch, or scikit-learn.
  • Experience of multiple machine learning facets, such as working with large data sets, experimentation, scalability, and optimization.
  • Experience with Cloud providers, preferably AWS
  • Good to have experience with Big Data systems (Hadoop, Spark, Airflow)
  • Good to have experience with infrastructure-as-a-code technologies such as Terraform, Ansible
  • Good to have experience with BI tools like Power BI/Tableau


Professional skills:


  • Solid written, verbal, and presentation communication skills
  • Strong team and individual player
  • Maintains composure during all types of situations and is collaborative by nature
  • High standards of professionalism, consistently producing high-quality results
  • Self-sufficient, independent requiring very little supervision or intervention
  • Demonstrate flexibility and openness to bring creative solutions to address issues