Data Science ML Engineer

Infovision Labs; Pune District; Hybrid; INR 4,000,000 - 7,000,000; Full time

Job summary

Infovision Labs in Pune is seeking an experienced Data Science and ML Engineer (7–9 years) to design and deploy end-to-end ML solutions. You will build scalable data pipelines in Python, query large datasets with SQL, and deploy models using AWS Lambda.

You will also develop Looker dashboards, translate ML insights into actionable visuals, and explore NLP applications with Claude or similar LLM APIs, shaping AI strategy for our Pune operations.

Qualifications

• 7+ years hands-on experience in data science and ML engineering
• Proficiency in Python for building scalable data pipelines and ML workflows
• Experience deploying ML models with serverless architectures (AWS Lambda)
• Experience building Looker dashboards and LookML modeling
• Hands-on with NLP using Claude or similar LLM APIs
• Strong understanding of the full ML lifecycle: feature engineering, training, tuning, deployment, monitoring

Responsibilities

• Design and deploy end-to-end ML solutions to drive business outcomes
• Collaborate with product, engineering, and BI teams to define data requirements and success metrics
• Build scalable data pipelines and dashboards (Looker) to translate insights into action
• Mentor junior data scientists and contribute to internal best practices

Skills

Python

SQL

Looker/LookML

BigQuery

AWS Lambda

Streamlit dashboards

NLP with LLM APIs

ML lifecycle

Model deployment

Prompt engineering

Tools

Looker

BigQuery

AWS Lambda

Claude/LLM APIs

Job description

Job Description

• We are seeking an experienced Data Science and ML Engineer with 7 to 9 years of hands‑on experience to join our growing analytics team in Pune, responsible for designing and deploying end‑to‑end machine learning solutions that drive business outcomes.
• The role requires deep expertise in Python for building scalable data pipelines, statistical models, and machine learning workflows, along with strong proficiency in SQL for complex data querying, transformation, and analysis across large datasets.
• Candidates must have practical experience working with AWS Lambda for serverless ML model deployment and event‑driven data processing pipelines integrated with cloud‑based infrastructure.
• Experience with Looker for building interactive business intelligence dashboards, LookML modeling, and translating machine learning insights into actionable visual reports for stakeholders is essential.
• Hands‑on experience leveraging Claude or similar large language model APIs for building intelligent NLP‑based applications, prompt engineering, and integrating generative AI capabilities into data products is highly preferred.
• The ideal candidate will have a strong background in the full machine learning lifecycle including feature engineering, model training, hyperparameter tuning, validation, and production deployment with monitoring strategies.
• You will work closely with cross‑functional teams including product, engineering, and business intelligence to define data requirements, model objectives, and success metrics for ML initiatives.
• This position offers the opportunity to shape the AI and data science strategy for our Pune operations while mentoring junior data scientists and contributing to internal best practices and documentation.

Must have :

• 1. Streamlit or html dashboards generating using AI or directly
• 2. Looker data studio
• 3. Bigquery (Sql)
• 4. Python