Urwah Admin

Devsinc

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 Develop and deploy machine learning models using Python and libraries like TensorFlow, PyTorch, and Scikit-learn to solve complex business problems.
 
 
 Preprocess and transform raw data into structured formats, ensuring quality input for effective machine learning model training.
 
 
 Collaborate with cross-functional teams including data scientists, software engineers, and product managers to define machine learning workflows and integrate solutions into production systems.
 
 
 Evaluate and optimize machine learning models by fine-tuning hyperparameters, improving accuracy, and ensuring models are scalable and efficient.
 
 
 Conduct research on the latest AI/ML techniques to implement state-of-the-art algorithms, ensuring continuous improvement of solutions.
 
 
 Monitor and maintain deployed models in production, ensuring optimal performance and troubleshooting issues as needed.
 
 
 
 Requirements
 
 
 
 BSCS/ BSIT/ BSSE
 
 
 Experience: 3 - 4 years
 
 
 
 Required Skills
 
 
 
 Proficiency in Python and experience with machine learning libraries like TensorFlow, PyTorch, and Scikit-learn.
 
 
 Strong data processing skills using Pandas, NumPy, and feature engineering techniques.
 
 
 In-depth knowledge of machine learning and deep learning algorithms, model evaluation, and hyperparameter tuning.
 
 
 Excellent collaboration and communication skills to work with cross-functional teams and explain complex concepts effectively.
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Senior Software Engineer - Python/AIML

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 Role Overview:
 
 
 
 As an Outbound Sales Development Representative at Devsinc, you will play a key role in driving our growth strategy. Reporting to the Sales Development Manager, you will prospect, qualify, and create opportunities for our Sales Managers through consultative outreach and data-driven strategies.
 
 
 
 Role Responsibilities:
 
 
 
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 Identify and engage new leads by targeting Ideal Customer Profiles (ICPs) and understanding their needs.
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 Create opportunities for discovery calls with Sales Managers by building a consistent and qualified pipeline.
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 Set 1-3 qualified discovery calls daily to maintain a steady flow of potential prospects.
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 Utilize multiple prospecting techniques, including:
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 Cold Calling
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 Email Campaigns
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 Social Media Outreach (e.g., LinkedIn Sales Navigator)
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 </ul>
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 Leverage sales tools such as Salesforce, HubSpot, and Pipedrive to track lead interactions and manage the sales funnel effectively.
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 Conduct strategic research to identify key decision-makers (e.g., CEOs, CTOs, CMOs) at target companies.
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 Consistently achieve or exceed monthly targets for qualified appointments and discovery calls.
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 Maintain a clean, up-to-date database of ICPs to ensure efficient prospecting.
 
 
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 </ul>
 
 Requirements
 
 
 
 
 Qualification
 
 
 
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 Bachelor, Masters would be plus.
 
 
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 </ul>
 
 Role Requirements:
 
 
 
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 Bachelor's degree in business, marketing, or a related field preferred.
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 1-3 years of experience in sales development, business development, or customer-facing roles, particularly in the North American market, with a focus on understanding cultural and business nuances.
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 Proven track record of success in prospecting, cold outreach, and lead generation with measurable results, such as quota attainment or reduced sales cycles.
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 Exhibits a dynamic "hunter mentality," consistently driven to proactively seek out and engage high-value leads with precision and determination.
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 Proficiency in using tools such as LinkedIn Sales Navigator, ZoomInfo, Apollo, G-Suite, and CRM platforms.
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 Highly organized, tech-savvy, and adaptable to fast-paced, dynamic environments.
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 Strong communication skills with advanced English proficiency.
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 Self-driven and results-oriented with minimal need for supervision.
 
 
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 Timing:
 
 
 
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 5 PM to 2 AM PKT to align with global markets.
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Outbound Sales Development Representative

<div>
 
 Devsinc
 
 is looking for a talented and dynamic
 
 Data Science | Data Engineer (SE1/SE2)
 
 to join our innovative team. As a Data Science | Data Engineer, you will play a critical role in building robust data pipelines and developing data-driven solutions that empower our clients to make informed decisions. Your expertise in both data engineering and data science methodologies will be key in architecting data infrastructure, optimizing data processes, and delivering analytics solutions that meet business needs.
 
 
 
 Key Responsibilities:
 
 
 
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 Design, develop, and maintain scalable data pipelines to ensure high-quality data accessibility for analytics and modeling
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 Implement and optimize ETL processes, focusing on data transformation, integration, and cleansing
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 Collaborate with cross-functional teams to understand data requirements and deliver effective data models that support business analytics
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 Apply statistical analysis and machine learning techniques to solve complex data challenges and generate actionable insights
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 Monitor and troubleshoot data systems, ensuring data integrity and performance optimization across data workflows
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 Stay current with industry trends, technologies, and best practices in data engineering and data science
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 Contribute to the development of dashboards and reporting tools to visualize data and support decision-making processes
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 Document data processes and architectures to facilitate knowledge sharing and promote compliance with data governance standards
 
 
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 </ul>
 
 Requirements
 
 
 
 
 Qualifications:
 
 
 
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 Bachelor's degree in Data Science, Computer Science, Engineering, Mathematics, or a related field
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 1-3 years of experience in data engineering, data science, or related roles
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 Proficiency in SQL and experience with database management (e.g., PostgreSQL, MySQL, MongoDB)
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 Experience with data engineering tools and frameworks such as Apache Spark, Hadoop, or similar technologies
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 Solid understanding of machine learning algorithms and experience implementing predictive analytics models
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 Familiarity with programming languages such as Python or R for data processing and analysis
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 Knowledge of data visualization tools (e.g., Tableau, Power BI) is a plus
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 Excellent problem-solving abilities and analytical skills, with a keen attention to detail
 
 
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 </ul>
 
 Soft Skills:
 
 
 
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 Strong communication skills, capable of presenting complex data concepts to technical and non-technical stakeholders
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 A collaborative mindset, with the ability to work effectively in a team environment
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 Commitment to continuous learning and professional development in data science and engineering
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Software Engineer - Data Engineer

Join Devsinc and explore 3   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Devsinc

ABOUT_COMPANY

Senior Software Engineer - Python/AIML

Outbound Sales Development Representative

Software Engineer - Data Engineer