Emerging Tech Jobs In Pune

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Emerging Tech Jobs In Pune
JOB TITLE
CATEGORY
LOCATION
JOB ID
Pune

GEN AI

ML Solutions team is seeking a skilled and innovative ML Systems Engineer with ML Ops experience to join our team. In this role, you will be responsible for building and maintaining scalable backend systems, deploying data science (DS) models, and designing robust pipelines that enable seamless integration of DS solutions into our applications. You will work closely with data scientists and front end engineers to help bridge the gap between data science and production-ready systems. If youre passionate about operationalizing data Science models, creating reliable backend services, and improving the lifecycle of data science workflows, this role could be a great fit for you.Key ResponsibilitiesML backend and OrchestrationHands on development of ML Systems backend infrastructure, messaging and integration with interfacing systemsDesign, build, and maintain APIs, Microservices, and systems to serve data science models.Ensure ML Infrastructure systems are scalable, reliable, and secureDatabase ManagementWork with SQLAlchemy to define, maintain, and query the database schema for an application.Work with raw SQL to run advanced queries for things like alerting and reporting.ML Ops ImplementationDevelop and maintain CI/CD pipelines for data science models and servicesAutomate and track data science workflows with tools like MLflowInfrastructure:Manage and optimize Kubernetes cluster via Openshift.Implement and manage various infrastructure components such as PostgreSQL, Kafka, S3.Knowledge of running workloads in AWS or GCP will be plus.Collaboration:Work with data scientists to understand model requirements and ensure successful deployment into production systemsCollaborate with DevOps and infrastructure teams to improve scalability and reliabilityPerformance & Optimization:Optimize backend services and data science model inference for latency and throughputTroubleshoot issues in production environments, ensuring high availability of servicesSkills & QualificationsProficiency in PythonHands on experience working with a Python web framework such as FastAPI, Flask, Django, etcPeripheral knowledge in Machine Learning and Data ScienceWorking knowledge in MLOps principals such as experiment tracking, model serving, model orchestration, etc.Hands on experience with designing DB driven applications and using an ORM such as SQLAlchemy.Hands on experience with deploying and maintaining production applicationsHands on experience with managing and debugging the necessary infrastructure to support a full stack applicationHands on experience with KubernetesHands on experience working with stream processing tools like Kafka or Apache SparkBachelors degree or equivalent experience in Computer Science or a related field.Ideal skillsHands on experience working with a Python orchestrator (Dagster, Airflow, Prefect, etc)Hands on experience working with various MLOps tools such as MLFlow, Kedro, etcHands on experience working with LLMs and related technologies such as Vector DBs, Agents, etc.
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CREQ211994
Emerging Tech
India, Pune
Pune

GEN AI

ML Solutions team within Markets OPS Technology is dedicated to developing solutions using Artificial Intelligence, Machine Learning and Generative AI. This team is a leader in creating new ideas, innovative technology solutions, and ground-breaking solutions for Markets Operations and Other Line of Businesses. We work closely with our clients and business partners to progress solutions from ideation to production by leveraging the entrepreneurial spirit and technological excellence.ML Solutions team is seeking a highly skilled and experienced AI/ML Engineer with a strong background in developing and deploying AI/ML models and Gen AI based solutions.Hands-On Execution and Delivery: Actively contribute to the development and delivery of AI solutions, driving innovation and excellence within the team. Take a hands-on approach to ensure AI models are successfully deployed into production environments, meeting high-quality standards and performance benchmarks.Quality Control: Ensure the quality and performance of generative AI models, conducting rigorous testing and evaluation.Research and Development: Participate in research activities to explore and advance state-of-the-art generative AI techniques. Stay actively engaged in monitoring ongoing research efforts, keeping abreast of emerging trends, and ensuring that the Generative AI team remains at the forefront of the field.Cross-Functional Collaboration: Collaborate effectively with various teams, including product managers, engineers, and data scientists, to integrate AI technologies into products and services.In this hands-on role, you will be responsible for taking AI models from concept to production, utilizing traditional AI, generative AI and Large Language Models. You will collaborate closely with business partners and stakeholders to introduce and embrace these advanced technologies, elevating client experiences, delivering value to our customers, and ensuring regulatory compliance through cutting-edge technology solutions.Strong hands-on experience in Machine Learning, delivering complex solutions to production. Experience with Generative AI technologies essential.In-depth knowledge of deep learning and Generative AI frameworks such as TensorFlow, PyTorch, Langchain, Lang Graph, Crew AI or similar.Experience with and other open-source frameworks/ libraries/ APIs like Hugging Face Transformers, Spacy, Pandas.Proficiency in Python Software Development, following Object-Oriented design patterns and best practices.Experience with evaluation, scoring with framework like ML FlowExperience of Docker container and edited a Docker file, experience with K8s is a plus.Experience with Postgres and Vector DBs a plus.Excellent problem-solving skills and the ability to think creatively.Strong communication and collaboration skills, with the ability to work effectively with cross-functional teamsPublications and contributions to the AI research community are a plus.Bachelor Master degree or equivalent experience in Computer Science, Data Science, Statistics, or a related field.
Learn More
CREQ212010
Emerging Tech
India, Pune
Pune

GEN AI

ML Solutions team is seeking a skilled and innovative ML Systems Engineer with ML Ops experience to join our team. In this role, you will be responsible for building and maintaining scalable backend systems, deploying data science (DS) models, and designing robust pipelines that enable seamless integration of DS solutions into our applications. You will work closely with data scientists and front end engineers to help bridge the gap between data science and production-ready systems. If youre passionate about operationalizing data Science models, creating reliable backend services, and improving the lifecycle of data science workflows, this role could be a great fit for you.Key ResponsibilitiesML backend and OrchestrationHands on development of ML Systems backend infrastructure, messaging and integration with interfacing systemsDesign, build, and maintain APIs, Microservices, and systems to serve data science models.Ensure ML Infrastructure systems are scalable, reliable, and secureDatabase ManagementWork with SQLAlchemy to define, maintain, and query the database schema for an application.Work with raw SQL to run advanced queries for things like alerting and reporting.ML Ops ImplementationDevelop and maintain CI/CD pipelines for data science models and servicesAutomate and track data science workflows with tools like MLflowInfrastructure:Manage and optimize Kubernetes cluster via Openshift.Implement and manage various infrastructure components such as PostgreSQL, Kafka, S3.Knowledge of running workloads in AWS or GCP will be plus.Collaboration:Work with data scientists to understand model requirements and ensure successful deployment into production systemsCollaborate with DevOps and infrastructure teams to improve scalability and reliabilityPerformance & Optimization:Optimize backend services and data science model inference for latency and throughputTroubleshoot issues in production environments, ensuring high availability of servicesSkills & QualificationsProficiency in PythonHands on experience working with a Python web framework such as FastAPI, Flask, Django, etcPeripheral knowledge in Machine Learning and Data ScienceWorking knowledge in MLOps principals such as experiment tracking, model serving, model orchestration, etc.Hands on experience with designing DB driven applications and using an ORM such as SQLAlchemy.Hands on experience with deploying and maintaining production applicationsHands on experience with managing and debugging the necessary infrastructure to support a full stack applicationHands on experience with KubernetesHands on experience working with stream processing tools like Kafka or Apache SparkBachelors degree or equivalent experience in Computer Science or a related field.Ideal skillsHands on experience working with a Python orchestrator (Dagster, Airflow, Prefect, etc)Hands on experience working with various MLOps tools such as MLFlow, Kedro, etcHands on experience working with LLMs and related technologies such as Vector DBs, Agents, etc.
Learn More
CREQ212011
Emerging Tech
India, Pune
Pune

GEN AI

ML Solutions team within Markets OPS Technology is dedicated to developing solutions using Artificial Intelligence, Machine Learning and Generative AI. This team is a leader in creating new ideas, innovative technology solutions, and ground-breaking solutions for Markets Operations and Other Line of Businesses. We work closely with our clients and business partners to progress solutions from ideation to production by leveraging the entrepreneurial spirit and technological excellence.ML Solutions team is seeking a highly skilled and experienced AI/ML Engineer with a strong background in developing and deploying AI/ML models and Gen AI based solutions.Hands-On Execution and Delivery: Actively contribute to the development and delivery of AI solutions, driving innovation and excellence within the team. Take a hands-on approach to ensure AI models are successfully deployed into production environments, meeting high-quality standards and performance benchmarks.Quality Control: Ensure the quality and performance of generative AI models, conducting rigorous testing and evaluation.Research and Development: Participate in research activities to explore and advance state-of-the-art generative AI techniques. Stay actively engaged in monitoring ongoing research efforts, keeping abreast of emerging trends, and ensuring that the Generative AI team remains at the forefront of the field.Cross-Functional Collaboration: Collaborate effectively with various teams, including product managers, engineers, and data scientists, to integrate AI technologies into products and services.In this hands-on role, you will be responsible for taking AI models from concept to production, utilizing traditional AI, generative AI and Large Language Models. You will collaborate closely with business partners and stakeholders to introduce and embrace these advanced technologies, elevating client experiences, delivering value to our customers, and ensuring regulatory compliance through cutting-edge technology solutions.Strong hands-on experience in Machine Learning, delivering complex solutions to production. Experience with Generative AI technologies essential.In-depth knowledge of deep learning and Generative AI frameworks such as TensorFlow, PyTorch, Langchain, Lang Graph, Crew AI or similar.Experience with and other open-source frameworks/ libraries/ APIs like Hugging Face Transformers, Spacy, Pandas.Proficiency in Python Software Development, following Object-Oriented design patterns and best practices.Experience with evaluation, scoring with framework like ML FlowExperience of Docker container and edited a Docker file, experience with K8s is a plus.Experience with Postgres and Vector DBs a plus.Excellent problem-solving skills and the ability to think creatively.Strong communication and collaboration skills, with the ability to work effectively with cross-functional teamsPublications and contributions to the AI research community are a plus.Bachelor Master degree or equivalent experience in Computer Science, Data Science, Statistics, or a related field.
Learn More
CREQ211993
Emerging Tech
India, Pune
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