AI Engineer at statsby.ai (Pune, India)

statsby.ai· Pune, India·6d ago

Role details

Work type

Onsite

Employment

Full-Time

Job description

We’re looking for an AI Engineer who enjoys turning machine learning ideas into working, reliable products. You’ll build and deploy AI solutions, guide a small team, and take ownership of projects from the first idea through to delivery.

What you’ll do:

Design, build, and deploy machine learning and AI models that solve real business problems
Lead projects end to end: planning, task allocation, delivery, and stakeholder updates
Work with data teams to prepare, clean, and understand datasets
Test, monitor, and improve model performance in production
Mentor junior team members and review their work
Keep up with new AI tools and techniques, and suggest what’s worth adopting

What we’re looking for:

4+ years of experience in AI/ML engineering
Proven experience leading at least one project or a small team
Strong understanding of machine learning concepts and algorithms
Hands-on experience with Python and ML frameworks such as TensorFlow, PyTorch, or scikit-learn
Experience taking models from development to deployment
Good communication skills and the ability to explain technical work to non-technical people

Good to have:

Experience with generative AI, LLMs, or NLP
Familiarity with cloud platforms (AWS, Azure, or GCP)
Knowledge of MLOps practices and tools
Location: Pune
Work mode: Work from office
Experience: 4+ year

Why work at statsby.ai

Culture: Strong emphasis on blending human ingenuity with advanced AI; described as a team of "passionate problem solvers and innovators" committed to pushing the boundaries of technology in a high-stakes industry.
Work Environment: Hybrid workspace based in Pune, India. Employees engage in a combination of remote and on-site work.
Team: Very small team (~9 people) — offers significant ownership and impact for early employees. Technical staff makes up 56% of the team.
Reviews: Rated 5.0/5.0 on LinkedIn (2 reviews) with perfect scores in Work-Life (4.5), Compensation (5.0), Culture (5.0), and Career (5.0).
Engineering Focus: Opportunity to work at the intersection of clinical science, AI, and regulated software engineering — a niche with high barriers to entry and strong career value. Tech stack includes Databricks, Scala, AWS Lambda, Apache Spark, Python, Power BI, Microsoft Azure, Kubernetes, Snowflake, and React.

About statsby.ai

Company Overview

One-liner: Statsby Solutions is a pharma-native AI and data company that builds purpose-built platforms and provides consulting services to help pharmaceutical sponsors, biotechs, and CROs handle high-stakes clinical data and documentation in regulated environments.
Entity Type: Private (Bootstrapped/Service-based)
Headquarters: Pune, India
Founded: 2022
Founders: Atul Pundhir (Co-Founder), Abhishek Kumar Mishra (Co-Founder & Chief Revenue Officer)

Core Business

Primary industry: Pharmaceutical AI, Clinical Data Engineering, and Regulated AI/ML
Target customers: Pharma sponsors, biotechs, and Clinical Research Organizations (CROs)
Mission/Purpose: To create innovative solutions that empower organizations to harness their data, turning insights into action for greater efficiency, adaptability, and growth — with a focus on blending deep domain expertise with AI engineered for regulated environments where auditability, traceability, and scientific rigor are the baseline.

Products & Services

Revectra: AI-powered Protocol-to-Platform Intelligence. Digitizes clinical trial protocols (new and legacy) into structured, version-controlled CDISC USDM 4.0 study definitions, exposes them via API, and generates downstream documents grounded in proprietary data, deployed on the client's cloud.
Veractra: AI-powered Clinical Study Report (CSR) generation. Produces ICH E3-compliant CSRs in days, featuring multi-stage numerical verification against source TLFs and sentence-level traceability, deployed entirely within the client's cloud environment.
Data & AI Consulting: End-to-end services including Clinical Data Platforms & Engineering (CDISC-aligned, GxP-ready cloud-native lakehouse architectures), Generative AI for Clinical Workflows (RAG systems, knowledge assistants, document automation), Agentic AI & Intelligent Automation (multi-agent systems for study start-up, PV case processing, submission assembly), and MLOps & Responsible AI (building auditable, compliant AI backbones for regulated environments).

Market Standing

Valuation/Funding: Not publicly available (appears bootstrapped / service-funded)
Key Metric: Small, specialized team of 9 employees (as of latest data)
Notable Clients/Partners: Works with pharma sponsors, biotechs, and CROs; talent sourced from companies like Juniper Networks, Deloitte, Saama, Altair, and Triomics.
Growth Signals: -10% monthly headcount growth (likely reflects natural churn in a small consultancy); strong focus on deep regulatory compliance (GxP, ICH E6(R3), 21 CFR Part 11, FDA/EMA expectations) as a core differentiator; developing proprietary platforms (Revectra, Veractra) alongside consulting to scale impact.

Competitive Advantages

Pharma-native specialization: Entirely focused on the pharmaceutical and clinical research industry, not a generalist AI consultancy.
Regulatory engineering from day one: Every platform is architected for GxP, ICH E6(R3), 21 CFR Part 11, and FDA/EMA expectations from the first architecture diagram — ensuring audit readiness and data provenance.
Verification-first AI: Veractra's multi-stage numerical verification against source TLFs and sentence-level traceability is a key differentiator for high-stakes regulatory document generation.
Deployment flexibility: All platforms are designed to be deployed entirely within the client's cloud environment, meeting enterprise security and compliance requirements.

Strategic Focus

Deepening the "pharma-native" brand by building proprietary, purpose-built platforms (Revectra, Veractra) that move beyond consulting to product-led growth.
Expanding agentic AI capabilities for specific clinical workflows (study start-up, PV case processing, submission assembly, protocol deviation management).
Maintaining a "production-grade, regulated-first" engineering standard as the core value proposition.
Building long-term client relationships with a focus on what's running in the client's environment six months after delivery.

Sources

Job description

Why work at statsby.ai

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