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5 Job openings at KANINI
Technical Delivery Team Manager

Pune, Maharashtra, India

8 - 10 years

Not disclosed

On-site

Full Time

Technical Delivery Manager We are looking for a seasoned Technical Delivery Manager to oversee the delivery of data-driven projects within the H ealthcare sector . The ideal candidate will possess strong Technical depth in data engineering and analytics, combined with extensive experience managing distributed delivery teams, ensuring high performance and client satisfaction. Roles and Responsibilities: Lead and manage end-to-end data platform deliveries, including architecture, implementation, and integration. Collaborate closely with healthcare clients to translate business needs into technical solutions. Drive technical planning, sprint management, resource allocation, and risk mitigation. Act as the bridge between client teams and internal engineering teams. Ensure data security and compliance with healthcare regulations (HIPAA, GDPR). Report on project progress, budgets, and KPIs to senior stakeholders. Promote innovation and continuous improvement in delivery practices. Technical Expertise Required: Strong experience delivering projects using Azure Data Services, Snowflake, Databricks, or similar platforms, ADO Board, Health Care. Familiarity with ETL/ELT pipelines, DBT, ADF, and data lake architectures. Understanding of healthcare data models, EHR systems, FHIR, HL7 standards. Experience with BI tools like Power BI or Tableau is a plus. Prior experience working with Agile/Scrum methodologies and tools (JIRA, Azure DevOps). Experience: 8- 10 Years Location : Pune, Chennai, Bangalore, Coimbatore, Notice : Immediate to 15 Days Regards, TA Team KANINI Software Solutions Show more Show less

Technical Team Lead

Chennai, Tamil Nadu, India

8 years

Not disclosed

On-site

Full Time

Technical Team Lead - DotNet We are looking for a highly skilled Technical Team Lead with strong hands-on experience in Azure Functions , Azure Services , Service Bus , and Microservices architecture . The ideal candidate should have deep expertise in C# and .NET Core , and a solid understanding of designing and building scalable cloud-native applications on Microsoft Azure. Key Responsibilities: Design, develop, and maintain scalable and secure backend applications using .NET Core and C# . Build and deploy Azure Functions , App Services , API Management , and other Azure components. Design and implement Microservices-based solutions, ensuring seamless integration and scalability. Develop message-driven systems using Azure Service Bus and other messaging services. Collaborate with architecture, DevOps, and product teams to design cloud-native solutions. Write clean, maintainable, and high-performance code adhering to industry standards and best practices. Troubleshoot, debug, and resolve production issues efficiently. Participate in code reviews, sprint planning, and other Agile ceremonies. Required Skills: 8+ years of professional experience in .NET development . Strong hands-on expertise in C# , .NET Core , and Web APIs . Proficient in Azure Functions , Azure Service Bus , App Services , Storage Accounts , and other Azure PaaS components. Solid experience with Microservices architecture , containerization, and RESTful API design. Familiarity with CI/CD processes and tools (Azure DevOps, GitHub Actions, etc.). Strong knowledge of SQL and experience working with relational databases. Good understanding of application performance tuning and optimization in a cloud environment. Preferred Qualifications: Experience with Azure API Management , Key Vault , and Application Insights . Familiarity with Docker , Kubernetes , or Azure Kubernetes Service (AKS) . Knowledge of event-driven architecture and asynchronous messaging patterns . Exposure to Agile/Scrum development methodologies. Microsoft Azure certifications (e.g., AZ-204, AZ-400) are a plus. Why Join Us: Work on cutting-edge cloud-native projects in a collaborative and fast-paced environment. Opportunity to architect and develop solutions that impact global users. Access to continuous learning, upskilling programs, and Azure certifications. Supportive work culture that encourages innovation and career growth. Experience : 8 -12 Yrs Location; Chennai, Pune, Coimbatore Notice Period : Immediate Regards, TA Team KANINI Software Solutions Show more Show less

Data Science Specialist

Chennai, Tamil Nadu, India

8 years

Not disclosed

On-site

Full Time

Lead - Data Scientist Join our high-performing team, honored with the prestigious "Outstanding Data Engineering Team" Award at DES 2025 for setting new benchmarks in data excellence. About the Role: We are seeking a highly skilled and GCP-certified AI/ML Engineer with expertise in Generative AI models , Natural Language Processing (NLP) , and cloud-native development with 8+Yrs of Expertise . This role involves designing and deploying scalable ML solutions, building robust APIs, and integrating AI capabilities into enterprise applications. The ideal candidate will also have a solid background in software engineering and DevOps practices. Key Responsibilities: Design, develop, and implement GenAI and NLP models using Python and relevant libraries (Transformers, LangChain, etc.) Deploy ML models and pipelines on GCP (Vertex AI, BigQuery, Cloud Functions) and Azure ML/Azure Services Develop and manage RESTful APIs for model integration Apply ML Ops and CI/CD best practices using tools like GitHub Actions, Azure DevOps, or Jenkins Ensure solutions follow software engineering principles , including modularity, reusability, and scalability Work in Agile teams, contributing to sprint planning, demos, and retrospectives Collaborate with cross-functional teams to define use cases and deliver PoCs and production-ready solutions Optimize performance and cost efficiency of deployed models and cloud services Maintain strong documentation and follow secure coding and data privacy standards. Required Skills: Strong programming skills in Python with experience in ML & NLP frameworks (e.g., TensorFlow, PyTorch, spaCy, Hugging Face) Experience with Generative AI models (OpenAI, PaLM, LLaMA, etc.) Solid understanding of Natural Language Processing (NLP) concepts like embeddings, summarization, NER, etc. Proficiency in GCP services Vertex AI, Cloud Run, Cloud Storage, BigQuery (GCP Certification is mandatory) Familiarity with Azure ML / Azure Functions / Azure API Management Experience in building and managing REST APIs Hands-on with CI/CD tools and containerization (Docker, Kubernetes is a plus) Strong grasp of software engineering concepts and Agile methodology Preferred Qualifications: Bachelors or Master’s in Computer Science, Data Science, or related field Experience working with cross-platform AI integration Exposure to LLM Ops / Prompt Engineering Certification in Azure AI Engineer or Azure Data Scientist is a plus Location: Chennai, Coimbatore, Pune, Bangalore Experience : 8 -12 Years Regards, TA Team Show more Show less

Data Integration Specialist

Chennai, Tamil Nadu, India

7 years

Not disclosed

On-site

Full Time

Data Integration Developer About the Role We are looking for a skilled Data Integration Developer to join our award-winning team that recently earned the "Outstanding Data Engineering Team" award at DES 2025. In this role, you will be instrumental in building and maintaining cloud-based data pipelines that power AI and Intelligent Document Automation services . Your work will directly support scalable, production-grade workflows that transform structured and unstructured documents into actionable data using cutting-edge machine learning solutions. You’ll collaborate cross-functionally with data scientists, AI/ML engineers, cloud engineers, and product owners to ensure robust pipeline design, integration, observability, and performance at scale. Key Responsibilities Design, develop, and maintain end-to-end data ingestion and integration pipelines on Google Cloud Platform (GCP). Implement robust workflows from document ingestion and file triggers to downstream ML integration and storage (e.g., BigQuery). Integrate and manage RESTful APIs and asynchronous job queues to support ML/OCR services. Collaborate with AI/ML teams to deploy and scale intelligent automation solutions. Containerize services using Docker and manage deployments via Cloud Run and Cloud Build . Ensure production readiness through monitoring, logging, and observability best practices . Utilize Infrastructure-as-Code tools (e.g., Terraform) for provisioning and environment consistency. Work in Agile/Scrum teams, participating in sprint planning, reviews, and backlog refinement. Required Skills & Experience 7+ years of experience in data integration, cloud data engineering, or backend development . Strong proficiency in Python , REST APIs, and handling asynchronous workloads . Solid hands-on experience with Google Cloud Platform (GCP) services including: Pub/Sub, Cloud Storage (GCS), BigQuery, Cloud Run, Cloud Build Experience in Docker and managing containerized microservices . Familiarity with Infrastructure-as-Code tools like Terraform . Exposure to AI/ML integration , OCR pipelines, or document understanding frameworks is a strong advantage. Experience with CI/CD pipelines and automated deployment workflows . Preferred Qualifications Knowledge of data formats like JSON, XML, or PDF parsing. Prior experience working on document processing , intelligent automation , or ML Ops projects. GCP certification (e.g., Professional Data Engineer or Associate Cloud Engineer ) is a plus. Why Join Us? Join a recognized leader in data engineering , recently awarded the "Outstanding Data Engineering Team" at DES 2025 . Work on mission-critical AI and automation products that directly impact real-world use cases. Thrive in a collaborative, learning-driven culture with opportunities to grow in AI/ML and Cloud technologies. Experience : 7 to 12 Yrs Location : Chennai/Pune/Coimbatore/Bangalore Notice : Immediate to 1 Week Regards, TA Team KANINI Software Solutions Show more Show less

Data Scientist

Chennai, Tamil Nadu, India

0 years

None Not disclosed

On-site

Full Time

Senior Data Scientist We are seeking a highly skilled and motivated Data Scientist with expertise in Natural Language Processing (NLP), Computer Vision (CV), Generative AI , and Python-based API development . The ideal candidate will have strong experience working with unstructured data, building and deploying AI models, and working in cloud-native environments (GCP preferred) . This role will focus on building scalable, real-world AI/ML solutions, collaborating with cross-functional teams, and contributing to AI-driven innovation. Key Responsibilities: Design and develop robust NLP and CV models to extract insights from text and image data. Work with Generative AI frameworks (e.g., Hugging Face, OpenAI) to build and fine-tune LLMs for real-time applications. Build and expose AI models as APIs using FastAPI or similar Python frameworks. Perform advanced data preprocessing, feature extraction, model training, and evaluation . Implement scalable AI solutions leveraging Google Cloud Platform (GCP) services such as Vertex AI and BigQuery. Collaborate with data engineers, ML engineers, and business stakeholders to define and execute AI/ML strategies. Keep up with emerging trends in AI/ML, particularly in GenAI and foundation models, and apply them to solve real-world problems. Required Skills: Core Technical Skills: Proficiency in Python with solid understanding of Object-Oriented Programming (OOPs) Experience in: Natural Language Processing (NLP) – sentiment analysis, NER, text classification Computer Vision (CV) – image processing, OCR, object detection Generative AI – working with Hugging Face Transformers, LLM APIs, prompt engineering Strong understanding of ML algorithms , deep learning frameworks (PyTorch/TensorFlow) API development using FastAPI Cloud & MLOps Skills: Hands-on experience with Google Cloud Platform (GCP) , especially: Vertex AI BigQuery Cloud Functions/Run Familiarity with containerization tools (e.g., Docker ) and Git-based version control Understanding of MLOps practices – model lifecycle, CI/CD for ML Good to Have: Experience working with Hugging Face model hub , OpenAI APIs Knowledge of LangChain , RAG pipelines , or similar GenAI orchestration tools Exposure to responsible AI practices , model explainability, and bias detection Basic understanding of data engineering workflows Soft Skills: Excellent problem-solving and analytical skills Strong communication and collaboration across technical and non-technical teams Ability to work in agile and fast-paced environments Continuous learning mindset with an interest in AI innovation Experience : 5Yrs to 12 Yrs Location : Chennai/Pune/Coimbatore/Bangalore Notice Period : Immediate Regards, TA Team KANINI Software Solutions

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