Build predictive and customer-satisfaction models, translate business questions into analytics projects, and develop production-grade machine learning solutions. Collaborate with data scientists and stakeholders, communicate analytical insights, and work with R, Python, Hadoop, Redshift, Spark, Azure, Azure ML, Terraform, and CI/CD pipelines. Preferred work includes PyTorch and image-model development and deployment.
Cognine was formed by passionate people with engineering backgrounds, intending to provide core software engineering services to clients worldwide. Cognine is an AI-driven technology solutions provider, empowering businesses with AI, Automation, Product Engineering, and Data Intelligence. We help organizations modernize IT ecosystems, build AI-powered applications, streamline operations, and drive innovation with Generative AI and advanced analytics. We have grown from a small team in Chicago & Hyderabad to a global tech organization with 200+ engineers.
The culture at Cognine embeds key values of engineering mindset, quality, and transparency into every employee. We have invested in organic growth, building on the sustainable technology strategy, design, data, and engineering capabilities required to bring in a truly integrated approach to solve our client’s toughest challenges. Our collaborative, cross-functional teams deliver tangible results, fast.
What you’ll do:
- Create frameworks to predict a variety of outcomes in different scenarios
- Create models of customer satisfaction that provide detailed insight into what causes a customer to take different actions
- Collaborate with other data scientists and stakeholders on projects
- Develop solutions in R or Python
- Develop production-grade solutions
- Work in Hadoop, Redshift, and Spark
- Translate business and product questions into analytics projects
- Communicate clearly over written and oral channels while translating complex methodologies and analytical results into high-level insights
Qualifications
- 5-10 years of experience in a data science and/or machine learning role with deep expertise in Python.
- Strong experience with Azure, Azure ML, and Terraform.
- Experience building and managing robust CI/CD pipelines for machine learning workflows, including model training, evaluation, and deployment.
- Excellent verbal and written English communication skills.
Preferred qualifications
- Experience with PyTorch.
- Experience developing and deploying image models.
Similar Jobs
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Develop and productionize advanced AI/ML solutions, including LLM training and fine-tuning, GraphRAG, embeddings, semantic retrieval, distributed multi-GPU training, and reinforcement learning alignment. Build hybrid NLP systems, optimize model architectures and retrieval pipelines, and collaborate cross-functionally to deploy AI solutions. The role requires deep expertise in machine learning, deep learning, NLP, transformer and state-space architectures, cloud ML platforms, data preparation, and production-grade model development.
Top Skills:
AnthropicAutopromptAWSAxolotlAzure MlBayesian OptimizationDpoDspyFaissGeminiGenetic AlgorithmsGepaGraphragGreaterpromptGrpoInfinibandKnowledge GraphsLarge Language ModelsLayout ParsingLlamaLoraMilvusMistralNcclNlpOcrOpenaiParticle Swarm OptimizationPpoPythonPyTorchQloraQwenReinforcement LearningRlaifRlhfSQLState Space ModelsSupervised Fine-TuningTransformer ArchitecturesVector EmbeddingsWeaviate
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Designs and operates enterprise-scale AI/ML platforms for prior authorization automation. Responsibilities include building MLOps pipelines, ML deployment frameworks, lifecycle management, CI/CD, automated retraining, model and data-drift monitoring, hallucination tracking, champion-challenger frameworks, observability, governance, compliance, and responsible AI controls. The role requires strong Python, Azure ML, Databricks, MLflow, cloud, and production ML operations experience.
Top Skills:
Ai ObservabilityAzure MlCi/CdCloud PlatformsDatabricksEpicFhirGenaiHl7LlmopsMlflowMlopsModel MonitoringPython
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Leads the design, training, optimization, and production deployment of advanced AI/ML systems, including LLMs, GraphRAG pipelines, embeddings, semantic retrieval, NLP, reinforcement learning, and distributed multi-GPU training. Translates research into scalable clinical AI solutions, collaborates with cross-functional teams, and advances methods for information extraction, document understanding, and summarization. Requires deep machine learning expertise, production experience, strong programming skills, and a substantial publication record.
Top Skills:
AnthropicAutopromptAWSAxolotlAzure Machine LearningBgeDeep LearningDeepspeedDpoDspyE5FaissGeminiGepaGraphragGreaterpromptGrpoHorovodInfinibandKnowledge GraphsLarge Language ModelsLayout ParsingLlamaLoraMilvusMistralNcclNlpOcrOpenaiPpoPythonPyTorchQloraQwenRdmaRlaifRlhfSemantic SearchSimcseSQLState Space ModelsSupervised Fine-TuningTransformer ArchitecturesVector EmbeddingsWeaviate
What you need to know about the Hyderabad Tech Scene
Because of its proximity to leading research institutions and a government committed to the city's growth, Hyderabad's tech scene is booming. With plans to establish India's first "AI city," the city is on track to become one of the world's most anticipated tech hubs, with companies like TransUnion, Schrödinger and Freshworks, among others, already calling the city home.
