Associate Machine Learning Engineer

The Data Engineering team at BlueOptima accelerates value delivery for internal and external stakeholders by providing production-ready solutions and actionable insights. We cater to all products within BlueOptima, supercharging their success through data-driven innovation. You will be working hand-in-hand with a diverse team with a variety of skill sets across the fields of Data Analytics, Machine Learning, and Artificial Intelligence. The majority of the team is currently based out of our Bangalore office.

Responsibilities:

• Solve business problems by applying Machine Learning and statistical techniques, working alongside senior engineers to deliver impactful solutions.
• Identify opportunities and propose ideas to add value across the business using Machine Learning during team planning and brainstorming sessions.
• Pinpoint bottlenecks in technology and processes within your workflows, collaborating with the team to enhance overall engineering excellence.
• Explore, clean, and process vast structured and unstructured datasets to build the foundation for robust ML models and analysis.
• Own the development of specific ML modules and features, coordinating directly with engineering and client-facing teams to transition solutions from exploratory analysis into production.
• Partner with internal development teams to facilitate the deployment of Machine Learning solutions into active production environments.
• Collaborate on scoping project requirements, breaking down problems, estimating timelines, and quantifying uncertainty for your technical deliverables.
• Troubleshoot issues and implement targeted improvements to existing Machine Learning solutions, tracking performance metrics to measure your impact.
• Apply data-driven approaches to validate assumptions, resolve issues, and track the progress of the code and changes you implement.

Requirements:

• Minimum of a Bachelor's degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
• 2+ years of experience developing software or data science solutions, including at least 1+ year actively building and deploying LLM-based or Agentic AI solutions.
• Hands-on experience designing and building with agentic frameworks and orchestration tools (e. g., LangChain, LangGraph, or similar).
• A solid foundation in Generative AI concepts (LLMs, prompt engineering, context window management, and embeddings) alongside traditional Machine Learning techniques, with the intuition to select the best approach for both structured and unstructured data.
• Proficiency in Python programming, with the ability to write clean, production-ready code for both complex applications and rapid prototyping.
• A strong drive for execution, demonstrating the ability to take an autonomous workflow from initial design and prompt iteration all the way through to successful integration within a live product.
• Excellent written and verbal communication skills, essential for articulating complex AI behaviours to both technical and non-technical stakeholders.
• Strong interpersonal and time management skills, enabling effective collaboration in a fast-paced, high-performance environment.

Good to have (Technical requirements/ Previous experience):

• Experience with fine-tuning neural nets and explaining how the different layers work, along with designing loss functions, custom metrics, etc.
• Understanding of word embeddings like word2vec, glove, bert, gpt, encoder-decoder architecture, and the hugging face library.
• Experience working with managing software vulnerabilities in a coding environment.
• An understanding of defensive coding practices.
• Experience with automating tasks to maximise time for more important problems.
• Experience with PostgreSQL or a similar Rational Database.
• Experience with data visualisation (via Grafana, Superset, Tableau, or similar) is preferable.
• Be comfortable explaining very technical concepts to non-expert people.