Senior Machine Learning Engineer

Role: Senior Machine Learning Engineer

Experience Level: 4 + Years

Work location: Bangalore / Gurugram / Mumbai / Hyderabad

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

Required Must have Skills:

• 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 or any cloud (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