Senior Machine Learning Engineer

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.

If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!

Role: Senior Machine Learning Engineer

Experience Level: 4-8Years

Work location: Bangalore/Mumbai/Trivandrum (Hybrid)

Notice Period: 0-30 days

Role & Responsibilities:

• Developing high-level solution architectures and working with our offshore team of big-data engineers and decision science analysts to build, test and assess models that predict and optimize business outcomes based on client's success criteria.

• Developing code and model building as per project requirements

• Develop sophisticated yet simple interpretations and communicate insights to clients that lead to quantifiable business impact.

• Building deep relationships with clients by understanding their stated but more importantly, latent needs.

• Mentoring Junior Machine Learning engineers

• Working closely with the offshore delivery managers to ensure a seamless communication and delivery cadence.

• Researching and identifying sales opportunity, generating leads, target identification and classification

Skills Required:

Apart from being Driven, Energetic and Ambitious, you'll need the following:

• Hands-on experience with statistical tools and techniques

• Great analytical skills, with expertise in analytical toolkits such as Logistic Regression, Cluster Analysis, Factor Analysis, Multivariate Regression, Statistical modelling, predictive analysis.

• Should have worked on GenAI projects in the past

• Hands on experience with Python, Pyspark and SQL development

• Hands on experience of NLP related use cases

• Hands on experience of LLMs

• Experience productionising machine learning models, and managing and designing end to end ML systems, and data pipelines

• Hands on experience with cloud computing services like AWS (Sagemaker experience is a plus)

• Ability to think creatively and work well both as part of a team and as an individual contributor

• Critical eye for the quality of data and strong desire to get it right.

• A pleasantly forceful personality and charismatic communication style.

• Strong communication skills