Staff MLOps Engineer Dayworks Private Limited

10.0 - 15.0 years

40 - 65 Lacs

Remote, , India

On-site

This role is for one of Weekday's clients Salary range: Rs 4000000 - Rs 6500000 (ie INR 40-65 LPA) Min Experience: 10 years JobType: full-time About the role As a machine learning operations leader, together with Data Science and Engineering teams, you will lead a team that creates and maintains impactful solutions for our brands across the world. From traditional machine learning to large language models, you will work and lead throughout the model lifecycle. Responsibilities: Leadership: MLOps is a team sport, and we require a leader who can elevate everyone in the MLOps organization. While technical skills and vision are required, your leadership skills will take AI and machine learning from theoretical to operational, delivering tangible value to both customers and internal teams. Pipeline Management: Architect, implement, and maintain scalable ML pipelines, with seamless integration from data ingestion to production deployment. Model Monitoring: Lead the operationalization of machine learning models, ensuring hundreds of models are continuously monitored, retrained, and optimized in real-time environments Deployment: Deploy machine learning solutions in the cloud, securely and cost effectively. Reporting: Effectively communicate actionable insights across teams using both automatic (e.g., alerts) and non-automatic methods. The type of game changing candidate we are looking for: Seasoned: Demonstrated experience of 10-15 years successfully leading teams both formally and informally. Transparent: Willingness to identify and admit errors and seek out opportunities to continually improve both in their own work and across the team. Communication: MLOps is a central node in a complex system. Clear, actionable, and concise communication, both written and verbal is a must. Coaching and Team Advancement: An MLOps leader is continually developing team members and fostering a constant flow of communication and improvement across team members. Master's/PhD degree or a strong demonstration of technical expertise in Computer Science, Machine Learning, Data Science, or a related field Multiple years of direct extensive experience with AWS Multiple years of experience with MLOps monitoring and testing tools Ability to prioritize projects effectively once clear vision and goals are identified Excited to empower DS with tools, practices, and training that simplify MLOps enough for Data Science to increasingly practice MLOps on their own and own products in production.

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Management Trainee Vorombetech Solutions

- 1 years

1 - 2 Lacs

Mumbai, Delhi / NCR, Bengaluru

Work from Office

Duration: 3 Months We are looking for an enthusiastic and driven Management Trainee Intern (MBA preferred) to join our team for a hands-on, immersive internship experience. This internship is designed to provide aspiring professionals with a solid foundation in business operations and strategic decision-making through real-world exposure to various business functions. Key Responsibilities: Participate in assigned departmental projects and cross-functional initiatives. Conduct market research, competitor analysis, and business intelligence tasks. Assist in data analysis, reporting, and presentation preparation. Support ongoing operational and strategic projects under the guidance of team leads. Collaborate with different teams to solve business challenges. Perks and Benefits: Mentorship from senior professionals and team leads. Exposure to real business challenges and decision-making processes. Certificate of completion and potential for full-time opportunity based on performance. Networking opportunities with professionals across departments. Location: Delhi NCR,Bangalore,Chennai,Pune,Kolkata,Ahmedabad,Mumbai,Hyderabad

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Digital Marketing Consultant Sankhyana Consultancy Services

10 - 16 years

2 - 3 Lacs

Bengaluru, Remote

Work from Office

Job Title: Digital Marketing Consultant Location: Remote Type: Part-Time (Approx. 1 hour/day) Experience Required: 1015 Years Role Overview: We are seeking an experienced and strategic Digital Marketing Consultant to join our team on a part-time, remote basis. The ideal candidate will possess comprehensive expertise across the entire digital marketing landscape and demonstrate a proven ability to align digital strategies with overarching business goals. This role demands a highly motivated individual capable of driving brand visibility, engagement, and growth through innovative multi-channel initiatives. Key Responsibilities: Develop and implement comprehensive digital marketing strategies in alignment with business objectives. Ensure all marketing creatives and communications consistently reflect the brand's identity, tone, and positioning. Lead and oversee integrated marketing campaigns across multiple digital channels including email, social media and paid media Collaborate cross-functionally with design, development, and sales teams to ensure seamless campaign execution. Create and manage content marketing strategies for blogs, video content, and social media platforms. Monitor, analyse, and report on campaign performance using CRM tools, marketing automation systems, and analytics platforms. Stay current with industry trends, emerging technologies, and platform algorithm updates to maintain a competitive edge. Provide strategic recommendations for optimizing brand presence, user engagement, and lead generation. Lead and mentor a cross-functional marketing team, providing strategic direction, guidance, and performance feedback to ensure alignment with business goals Qualifications and Skills: 10–15 years of hands-on experience in digital marketing strategy and execution. Proven experience managing and optimizing multi-channel digital campaigns. Strong understanding of brand development, content marketing, and customer engagement tactics. Proficiency with marketing automation tools, CRM systems, and analytics platforms. Exceptional communication, organizational, and project management skills. Ability to work independently and efficiently in a remote setting.

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