Numpy Jobs in Chennai

Job Title: Python Developer Company: Blackstraw.ai Location: Chennai (Work from Office) Job Type: Full-time Experience: 3 to 7 years Job Summary Blackstraw.ai is looking for a skilled and motivated Python Developer to join our growing engineering team. In this role, you will be responsible for server-side logic development, system integration, and ensuring high performance and responsiveness to requests from the front-end. A strong command of Python and its frameworks, along with familiarity with front-end technologies, will be essential. You ll work closely with front-end developers, data scientists, and DevOps to build and scale enterprise-grade AI and web-based applications. Key Responsibilities Develop and maintain robust, scalable backend systems using Python and relevant web frameworks (e.g., Django, Flask). Integrate multiple data sources and databases into unified systems. Implement data storage solutions and create efficient database schemas. Write reusable, testable, and efficient code while following best coding practices and quality standards. Collaborate with front-end developers to integrate user-facing elements using server-side logic. Ensure the security, accessibility, and compliance of applications. Manage authentication and authorization across multiple systems and environments. Optimize application performance for different delivery platforms (desktop, mobile, etc.). Work with version control tools like Git and follow Agile/Scrum methodologies. Promote knowledge sharing within the team and contribute to documentation. Debug, profile, and unit-test code to ensure reliability and maintainability. Required Skills 3 7 years of hands-on Python development experience. Proficiency with one or more Python web frameworks (Django, Flask, etc.). Experience with ORM libraries (e.g., SQLAlchemy, Django ORM). Strong understanding of RESTful APIs, server-side templating (e.g., Jinja2), and multi-threading/multi-processing. Familiarity with front-end technologies such as JavaScript, HTML5, and CSS3. Understanding of user authentication/authorization protocols (OAuth, JWT). Ability to work with Git, Mercurial, or SVN version control systems. Knowledge of scalable application design and event-driven programming in Python. Excellent problem-solving, organizational, and communication skills. Preferred Qualifications Bachelor s or Master s degree in Computer Science, Engineering, or related field. 5+ years of experience in building web, mobile, or ML-based applications. Experience with: JavaScript (ES6), React, Node.js MongoDB, Elasticsearch Docker, Kubernetes, Azure Microservices architecture Redis, Kafka, SQS, or similar tools Exposure to Big Data technologies (e.g., Hadoop) is a plus. Strong understanding of scalable software systems and system design principles. About Blackstraw.ai Founded in 2015 and operational since 2018, Blackstraw Technologies Pvt Ltd is a global leader in AI and ML solutions. We specialize in simplifying AI adoption for enterprises through a proprietary platform that accelerates data labeling, model training, and deployment. With offices across the USA, Canada, and India, and a 250+ strong team with over 900 years of collective experience, we deliver cutting-edge solutions in Computer Vision, Natural Language Processing, and AI Data Annotation. Our mission is to make AI adoption faster, easier, and more cost-effective for enterprises around the world. Qualification : Bachelors or Masters degree in Computer Science, Engineering, or related field.

Job Title: Data Scientist Company: Blackstraw.ai Job Location: Chennai (Work from Office) Job Type: Full-time Experience: 2 10 Years Job Summary: We are looking for Data Scientists to analyze large amounts of raw information to find patterns that will help improve our clients business. We will rely on you to build data products to extract valuable business insights. You will be part of our AI team in developing AI based products through the latest cutting edge technology. Key Responsibilities: Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams Communicate your findings to the appropriate teams through visualisations Collaborate and communicate findings to diverse stakeholders Provide solutions but not limited to: Object detection/Image recognition, natural language processing, Sentiment Analysis, Topic Modeling, Concept Extraction, Recommender Systems, Text Classification, Clustering, Customer Segmentation & Targeting, Propensity Modeling, Churn Modeling, Lifetime Value Estimation, Forecasting, Modeling Response to Incentives, Marketing Mix Optimization, Price Optimization. Follow/maintain an agile methodology for delivering on project milestones. Excellent oral, presentation, and written communication skills. Preferred Qualifications: Bachelors in Math, Computer Science, Information Systems, Machine Learning, Statistics, Econometrics, Applied Mathematics, Operations Research or related technical degree with ability to break complex business problems down to smaller more solvable parts. Minimum of 3+ years of experience in a related position, as a data scientist building predictive analytics or NLP or CV solutions for various types of business problems. Working knowledge of statistical techniques, NLP, machine learning algorithms and deep learning frameworks like Tensorflow, Pytorch, PySpark. Programming background and expertise in building models using at least one of the following languages: Python, R, C, C++, Spark, Scala. Good knowledge in the implementation of deep learning models for image classification, Document classification models, object detection, logo detection. Self-motivated and driven to deliver agreed results on-time. Company Profile: Conceptualized as far back as 2015, and commencing full-time operations in 2018, Blackstraw technologies Pvt Ltd. is a software products and services company specializing in Artificial Intelligence (AI) and Machine Learning solutions for various industries. We support businesses around the world, including North America, Europe and Asia, working to simplify AI implementation through our platform that expedites data labelling, AI model-training, and cloud or on-premise deployments. With more than 900 years of combined work-experience, the 250+-strong Blackstraw Team comprises various experts in the AI value chain. We are a fast-moving team that prides ourselves in rapidly identifying different use-cases and fine-tuning our products to suit specific business needs. We are focused on providing solutions related to computer vision, natural language processing, Data annotation tools for deep learning models, etc. To stay competitive in business, it is key for organizations to adopt and implement smart AI solutions and service offerings. However, most companies are unable to implement AI rapidly due to the complexity of existing solutions, inadequate data and cost implications. Our mission is to enable enterprises to adopt AI in an easier, cost-effective and time-efficient manner with a plug-and-play approach to their data. Blackstraw operations are based out of Canada, USA & India. Our head office is based in Florida. Qualification : Bachelors in Math, Computer Science, Information Systems, Machine Learning, Statistics, Econometrics, Applied Mathematics, Operations Research or related technical degree with ability to break complex business problems down to smaller more solvable parts.

Job Overview Senior Engineer - Data Engineering in the Automotive domain with 3-7 years of experience Extensive expertise in pyspark, hadoop, and gcp for designing and implementing data pipelines Proficient in tensorflow, python, and SQL for automation, data quality, and optimization Skilled in big data technologies like numpy, pandas, and data manipulation Responsible for architecting scalable data pipelines, data transformation, performance optimization, monitoring, and collaboration with cross-functional teams Bachelor's degree in Computer Science or equivalent; preferred certifications include Professional Data Engineer and Google Cloud Certified - Professional Data Engineer Good to have experience with CI/CD practices, data processing libraries, data quality, Pub/Sub architectures, and Tekton pipelines management Roles & Responsibilities Architect and Develop Data Pipelines: Lead the design, development, and maintenance of scalable and efficient data pipelines using GCP services like Pub/Sub for real-time data ingestion and BigQuery for storage and analysis. Data Transformation and Processing: Implement data transformation processes to cleanse, enrich, and aggregate raw data from diverse sources, ensuring data quality and consistency. Performance Optimization: Fine-tune data pipelines and queries to enhance performance, reduce latency, and ensure timely data access for stakeholders. Monitoring and Maintenance: Implement monitoring solutions for tracking pipeline performance, addressing issues proactively, and conducting regular maintenance tasks to uphold data infrastructure reliability. Collaboration: Collaborate with Data Scientists, Software Engineers, and Business Analysts to understand data requirements and provide technical solutions to meet business needs. Documentation: Document data pipelines, processes, and best practices to facilitate knowledge sharing and maintain a comprehensive understanding of data architecture. Our ideal candidate Extensive knowledge and proficiency in pyspark, hadoop, and gcp Advanced skills in designing and implementing data pipelines, data modeling, and data warehousing solutions Proficiency in tensorflow and python for automation scripts and data quality Strong SQL skills for querying and optimizing data warehouse operations Expertise in big data technologies like numpy, pandas, and libraries for data manipulation and analysis Monitoring data processes, utilizing GCP services, and implementing data engineering best practices Prioritizing skills in GCP, BigQuery, Python, Data Modeling, SQL, and Data Warehousing Bachelor of Technology (B.Tech) or Bachelor of Engineering (B.E) in Computer Science or Information Technology, or a Master of Technology (M.Tech) in Data Science or Big Data Analytics Certifications such as Professional Data Engineer and Google Cloud Certified - Professional Data Engineer preferred Company overview Altimetrik delivers outcomes for our clients by rapidly enabling digital business & culture and infuse speed and agility into enterprise technology and connected solutions. We are practitioners of end-to-end business and technology transformation. We tap into an organization s technology, people, and assets to fuel fast, meaningful results for global enterprise customers across financial services, payments, retail, automotive, healthcare, manufacturing, and other industries. Founded in 2012 and with offices across the globe, Altimetrik makes industries, leaders and Fortune 500 companies more agile, empowered and successful.Altimetrik helps get companies get unstuck . We re a technology company that lives organizations a process and context to solve problems in unconventional ways. We re a catalyst for organization s talent and technology, helping teams push boundaries and challenge traditional approaches. We make delivery more bold, efficient, collaborative and even more enjoyable. Qualification : Bachelor of Technology (B.Tech) or Bachelor of Engineering (B.E) in Computer Science or Information Technology, or a Master of Technology (M.Tech) in Data Science or Big Data Analytics