Datadivr

We’re hiring a Senior ML Engineer (MLOps) — 3-5 yrs Location: Kochi or Chennai What you’ll do Tame data → pull, clean, and shape structured & unstructured data. Orchestrate pipelines → Airflow / Step Functions / ADF… your call. Ship models → build, tune, and push to prod on SageMaker, Azure ML, or Vertex AI. Scale → Spark / Databricks for the heavy lifting. Automate everything → Docker, Kubernetes, CI/CD, MLFlow, Seldon, Kubeflow. Pair up → work with engineers, architects, and business folks to solve real problems, fast. What you bring 3+ yrs hands-on MLOps (4-5 yrs total software experience). Proven chops on one hyperscaler (AWS, Azure, or GCP). Confidence with Databricks / Spark , Python, SQL, TensorFlow / PyTorch / Scikit-learn. You debug Kubernetes in your sleep and treat Dockerfiles like breathing. You prototype with open-source first, choose the right tool, then make it scale. Sharp mind, low ego, bias for action. Nice-to-haves Sagemaker, Azure ML, or Vertex AI in production. Love for clean code, clear docs, and crisp PRs. Why Datadivr? Domain focus: we live and breathe F&B — your work ships to plants, not just slides. Small team, big autonomy: no endless layers; you own what you build. 📬 How to apply Shoot your CV + a short note on a project you shipped to careers@datadivr.com or DM me here. We reply to every serious applicant. Know someone perfect? Please share — good people know good people. Show more Show less

We’re hiring a Senior ML Engineer (MLOps) — 3-5 yrs Location: Chennai What you’ll do Tame data → pull, clean, and shape structured & unstructured data. Orchestrate pipelines → Airflow / Step Functions / ADF… your call. Ship models → build, tune, and push to prod on SageMaker, Azure ML, or Vertex AI. Scale → Spark / Databricks for the heavy lifting. Automate everything → Docker, Kubernetes, CI/CD, MLFlow, Seldon, Kubeflow. Pair up → work with engineers, architects, and business folks to solve real problems, fast. What you bring 3+ yrs hands-on MLOps (4-5 yrs total software experience). Proven chops on one hyperscaler (AWS, Azure, or GCP). Confidence with Databricks / Spark , Python, SQL, TensorFlow / PyTorch / Scikit-learn. You debug Kubernetes in your sleep and treat Dockerfiles like breathing. You prototype with open-source first, choose the right tool, then make it scale. Sharp mind, low ego, bias for action. Nice-to-haves Sagemaker, Azure ML, or Vertex AI in production. Love for clean code, clear docs, and crisp PRs. Why Datadivr? Domain focus: we live and breathe F&B — your work ships to plants, not just slides. Small team, big autonomy: no endless layers; you own what you build. 📬 How to apply Shoot your CV + a short note on a project you shipped to careers@datadivr.com or DM me here. We reply to every serious applicant. Know someone perfect? Please share — good people know good people. Show more Show less

Full Stack Developer (HTML, CSS, JavaScript & Django) Start Date: Immediate Experience: 1-4 years About Datadivr Datadivr is an AI consulting firm helping food and beverage companies make smarter decisions using data. From demand planning and production optimization to real-time computer vision, we build solutions that deliver measurable impact. We’re a lean, fast-moving team with global clients and real problems to solve. About the Role We’re looking for a full-stack developer to join our Kochi office (currently located in Kadavanthara, relocating to Smart City in October) and lead the end-to-end development of AI-powered web applications. You’ll work closely with our AI engineers, product leads, and designers to bring interfaces and features to life - fast. If you enjoy writing clean code, solving real-world problems, and working in a collaborative but high-ownership setup, you’ll fit right in. What You’ll Do Build responsive UIs using HTML5, CSS3, and JavaScript Develop backend APIs and logic using Django + Django REST Framework Connect frontend to backend with efficient API integrations Maintain and manage data models, views, and queries (PostgreSQL preferred) Collaborate on UX, wireframes, and component design Debug, test, deploy, and iterate fast Work closely with our AI and consulting teams to tailor features to business workflows What We’re Looking For Must-Haves: Strong in HTML, CSS, and JavaScript Hands-on with Django and Django REST Framework Comfortable with SQL and basic DB schema design Experience building and consuming REST APIs Git knowledge, Any cloud experience to host and manage deployment, preferred AWS Bonus: Familiarity with React/Vue or templating engines like Jinja Deployment experience (Docker, Railway, Heroku, etc.) Eye for clean UI and usability Experience in F&B or manufacturing domain (not required, but cool) What You’ll Get Real ownership from day one Work on products that actually get used by manufacturing teams, not just internal dashboards Small, high-trust team with direct access to the Founder Friendly, fast-paced work environment Salary as per experience and skillset How to Apply Send your CV, GitHub/portfolio (if any), and a short note about your experience to careers@datadivr.com with subject line “Full Stack Developer – Kochi” .

Location: Kochi (Full-time, on-site) Reporting to: Founder Role Overview This is not a high-level strategy role — it’s a 100% execution-driven, hands-on position. You will directly support the Founder in driving GTM, outbound sales, and partnerships. Your focus will be on building a pipeline, forging key platform partnerships (Dataiku, Databricks, Azure), and expanding the scope with existing clients through deeper retainers and accelerators. You are expected to hustle, research, reach out, and follow through. Think of this role as the engine behind Datadivr’s growth. Responsibilities Outbound & Pipeline Building Research target accounts and decision-makers across F&B SMBs and Enterprises. Execute 40–50 outbound touches daily (emails, LinkedIn, calls) to set up qualified meetings. Maintain CRM hygiene (Attio/Google Sheets) to ensure full visibility into outreach and pipeline. Prepare crisp prospect briefs and follow-up notes for Founder and Delivery team. Partnerships & Ecosystem Identify, initiate, and manage partnerships with platforms (Dataiku, Databricks, Azure) and F&B networks. Support execution of joint initiatives (co-webinars, events, co-sell motions). Client Expansion Work closely with Founder and Delivery Head to identify opportunities to deepen client engagements. Map accounts and identify whitespace for Datadivr’s accelerators. Track client outcomes and feed into upsell conversations. Market Intelligence Track competitors, market moves, and industry events. Share weekly insights with leadership. Research industry conferences and events where Datadivr should have a presence. Requirements 1–3 years of experience in sales development, business research, or partnerships. Strong written communication and research skills. Comfort with LinkedIn, CRM tools, and outbound automation. Relentless execution mindset: ownership, hustle, and ability to work independently. Interest in AI/Analytics and Food & Beverage industry a plus. What Success Looks Like 5+ qualified meetings booked per week. 3+ partnership opportunities in active discussion by the end of probation. At least 1 upsell/expansion opportunity identified per live client per quarter. Accurate research briefs and pre-reads before every client/partner call. Crisp follow-ups and pipeline hygiene with zero drop-offs. Note: For a faster response, please send an email with your resume attached and a brief Loom recording (less than 5 minutes) introducing yourself to careeers@datadivr.com, with "extreme ownership" in the subject line.

You are looking for a Senior ML Engineer (MLOps) with 3-5 years of experience to join the team in either Kochi or Chennai. In this role, you will be responsible for taming data by pulling, cleaning, and shaping structured & unstructured data. You will orchestrate pipelines using tools like Airflow, Step Functions, or ADF. Additionally, you will be involved in shipping models by building, tuning, and deploying them to production on platforms like SageMaker, Azure ML, or Vertex AI. Scaling using Spark or Databricks for heavy lifting and automating processes using Docker, Kubernetes, CI/CD, MLFlow, Seldon, and Kubeflow will also be a part of your responsibilities. Collaboration with engineers, architects, and business professionals to solve real problems efficiently is key in this role. To be successful in this position, you should have at least 3 years of hands-on MLOps experience with a total of 4-5 years in software development. Proficiency in one hyperscaler platform (AWS, Azure, or GCP), familiarity with Databricks, Spark, Python, SQL, and machine learning libraries like TensorFlow, PyTorch, or Scikit-learn is essential. Debugging Kubernetes, working with Dockerfiles, and prototyping with open-source tools are skills that are highly valued. A sharp mind, willingness to take action, and a collaborative attitude are qualities that will contribute to your success. Experience with Sagemaker, Azure ML, or Vertex AI in a production environment is a plus. A passion for writing clean code, maintaining clear documentation, and submitting concise pull requests is also appreciated. Joining Datadivr offers you the opportunity to work in a domain-specific environment focused on F&B, where your work directly impacts operations. As part of a small team, you will have significant autonomy and ownership over the projects you work on. To apply for this position, please submit your CV along with a brief description of a project you have shipped to careers@datadivr.com or via direct message. The company ensures a response to all serious applicants and welcomes referrals from those who know suitable candidates.,

Data Scientist – AI Solutions for Food & Beverage 📍 Kochi, Smart City | 🧠 AI/ML | 🧪 Real-World Applications | 💼 Full-time About the Role: We’re looking for a hands-on, client-facing Data Scientist who can turn messy, real-world data into smart, scalable AI solutions for some of the top Food & Beverage (F&B) brands across India, the GCC, UK, and US. You’ll be stepping into a high-impact role previously held by one of our top performers. From day one, you’ll work closely with the delivery lead, collaborate with clients, and ship production-ready models that drive business outcomes. What You’ll Do: Work on applied AI use cases across demand forecasting, inventory optimization, production planning, quality control, and more. Build and deploy models using Python, Pandas, scikit-learn, PyTorch or TensorFlow. Support the development of Datadivr accelerators like VisionPro , InventoryIQ , PlaceRight , and custom AI agents. Translate business requirements into data problems and propose actionable, explainable solutions. Collaborate closely with delivery leads, product managers, and clients—often sitting in on client calls and presenting your work. Participate in weekly sprint reviews, client feedback loops, and team retrospectives. Required Skills: 2–3 years of professional experience as a Data Scientist, ideally in a consulting company. Strong Python programming skills and familiarity with data science libraries. Experience with at least one deployment framework (e.g. Streamlit, FastAPI, Flask). Comfortable with SQL and data wrangling for messy, semi-structured data. Ability to break down and explain ML concepts to non-technical stakeholders. Hands-on experience in building and deploying data/ML pipelines on Azure, AWS, or on-premise environments. Bonus If You Have: Experience with computer vision projects (e.g. defect detection, OCR, object recognition). Familiarity with MLOps tools like MLflow, DVC, or Airflow. Familiarity with Gen AI, LLM’s, prompt engineering, embeddings & RAG. Worked in F&B, manufacturing, or supply chain domains. What Success Looks Like in 90 Days: Complete onboarding and shadow 2 ongoing client engagements. Take full ownership of 1 AI use case (build, ship, support). Proactively contribute ideas to strengthen our accelerators (VisionPro, etc). Build trust with clients and peers by communicating clearly and delivering consistently. 🚀 Why Join Us? You’ll work on real problems for real businesses—and see your work in production. You’ll have access to global clients, autonomy, and the opportunity to shape solutions end-to-end. We’re a lean and passionate team that values clarity, ownership, and doing things that matter. To fast-track your application to the top of the pile, please send an email with your resume attached and a brief Loom recording (less than 5 minutes) introducing yourself and telling us why you think you'd be a good fit to careers@datadivr.com, with "Dive Deep" in the subject line.

Location: Kochi, Infopark (Onsite) Type: Full-time How to apply: Send a 5-minute Loom recording of yourself and why you think this would be a good fit to careers@datadivr.com with the subject line: I'm the one . About the Role Datadivr is looking for a Backend Developer to own the design and implementation of our document processing and data pipelines. Your work will ensure our AI solutions have clean, structured, and reliable data for retrieval and task execution. This is a hands-on role where you’ll build systems that transform messy PDFs, images, and documents into fast, production-ready data services that power real-world AI applications. What You’ll Do Build and maintain document ingestion and parsing pipelines (PDFs, images, structured docs). Develop OCR and text extraction capabilities, including handling tables, metadata, and key fields. Implement data cleaning, validation, and quality checks for reliability at scale. Generate and optimize vector embeddings for Retrieval-Augmented Generation (RAG). Manage document lifecycle (versioning, change detection, consistency). Optimize storage and indexing (Postgres, Elasticsearch, vector DBs) for speed and scalability. Expose clean APIs to downstream services, collaborating closely with our AI Agent team. Work with DevOps/MLOps teams on deployment, monitoring, and scaling of pipelines. What You Bring Strong backend engineering skills in Python (bonus: Node.js exposure). Experience with document parsing & OCR tools (e.g., PDFMiner, Tika, Tesseract, OpenCV). Solid understanding of databases and indexing (PostgreSQL, Elasticsearch, vector stores like FAISS/Weaviate). Background in API design & integration (REST, GraphQL). Knowledge of data validation and QA practices. • Ability to work in a cross-functional startup environment with strong ownership. Nice to Have Experience with cloud platforms (AWS, GCP, Azure). Familiarity with workflow orchestration (Airflow, Prefect). Exposure to MLOps practices (monitoring, CI/CD for data pipelines). Why Join Us Own a critical piece of our AI infrastructure from day one. Work at the intersection of backend engineering, data systems, and applied AI. Be part of a small, high-impact team building next-gen solutions for the Food & Beverage industry. Shape how AI agents handle documents in the real world.