3+ Online machine learning Jobs in India

MUST-HAVES: 

• Machine Learning + Aws + (EKS OR ECS OR Kubernetes) + (Redshift AND Glue) + Sage maker
• Notice period - 0 to 15 days only 
• Hybrid work mode- 3 days office, 2 days at home

SKILLS: AWS, AWS CLOUD, AMAZON REDSHIFT, EKS

ADDITIONAL GUIDELINES:

• Interview process: - 2 Technical round + 1 Client round
• 3 days in office, Hybrid model. 

CORE RESPONSIBILITIES:

• The MLE will design, build, test, and deploy scalable machine learning systems, optimizing model accuracy and efficiency
• Model Development: Algorithms and architectures span traditional statistical methods to deep learning along with employing LLMs in modern frameworks.
• Data Preparation: Prepare, cleanse, and transform data for model training and evaluation.
• Algorithm Implementation: Implement and optimize machine learning algorithms and statistical models.
• System Integration: Integrate models into existing systems and workflows.
• Model Deployment: Deploy models to production environments and monitor performance.
• Collaboration: Work closely with data scientists, software engineers, and other stakeholders.
• Continuous Improvement: Identify areas for improvement in model performance and systems.

SKILLS:

• Programming and Software Engineering: Knowledge of software engineering best practices (version control, testing, CI/CD).
• Data Engineering: Ability to handle data pipelines, data cleaning, and feature engineering. Proficiency in SQL for data manipulation + Kafka, Chaos search logs, etc. for troubleshooting; Other tech touch points are Scylla DB (like BigTable), OpenSearch, Neo4J graph
• Model Deployment and Monitoring: MLOps Experience in deploying ML models to production environments.
• Knowledge of model monitoring and performance evaluation.

REQUIRED EXPERIENCE:

• Amazon SageMaker: Deep understanding of SageMaker's capabilities for building, training, and deploying ML models; understanding of the Sage maker pipeline with ability to analyze gaps and recommend/implement improvements
• AWS Cloud Infrastructure: Familiarity with S3, EC2, Lambda and using these services in ML workflows
• AWS data: Redshift, Glue
• Containerization and Orchestration: Understanding of Docker and Kubernetes, and their implementation within AWS (EKS, ECS)

Autuskey is seeking a motivated and results-driven Online Bidding Expert (IT Sales) to help us expand our client base and drive revenue growth. If you have a strategic mindset, strong sales acumen, and proven experience in Upwork / Freelancer Bidding, we’d love to have you on our team.

Responsibilities

Identify, evaluate, and analyze IT projects posted on online portals (e.g., Upwork, Freelancer).

Craft compelling, tailored bids and proposals that highlight the company’s strengths and capabilities.

Conduct in-depth research on prospective clients, including reviewing their track record and past projects.

Communicate effectively with clients through strong written communication, addressing their needs and building trust.

Collaborate with internal teams to gather necessary information and resources for project bidding.

Maintain organized records of bids, client interactions, and project details.

Stay updated with industry trends, market demands, and competitor activities to identify new opportunities.

Monitor and optimize bidding strategies for improved success rates.

Prioritize and pursue projects with the highest potential through analytical evaluation.

Represent the company professionally in all client interactions.

Job description

Years Of Experience : 3 to 5 Years

Notice Period : Immediate to 15 Days Joiners

Job Summary:

We are seeking a Product Manager to lead the strategy, roadmap, and execution of our product initiatives. The ideal candidate will work closely with cross-functional teams, including engineering, design, marketing, and sales, to deliver innovative and customer-centric solutions.

Key Responsibilities:

• Drive the execution of all processes in the product lifecycle, including product and market research, competitor analysis, planning, positioning, requirements and roadmap development, and product launch
• Define and execute the product roadmap for the E-commerce platform, ensuring alignment with business goals.
• Lead the development and enhancement of core platform features, including product discovery, checkout, payments, and post-purchase experience.
• Work closely with Technology, UX/UI, marketing, and analytics teams to improve user experience and optimize conversion rates.
• Analyze customer behavior, competitive insights, and industry trends to drive data-driven product decisions.
• Implement AI/ML-driven personalization, recommendation engines, and dynamic pricing strategies.
• Work on mobile-first optimizations and PWA enhancements for better performance and reach.
• Manage A/B testing, usability testing, and iterative improvements to drive continuous growth.
• Stay updated on E-commerce innovations, payment trends, and customer experience best practices.

Required skills and qualifications

• Strong experience in a dynamic product management role
• Proven success in overseeing all elements of the product development lifecycle
• High effectiveness in managing cross-functional teams
• Experience in delivering finely tuned product marketing strategies
• Exceptional writing and editing skills, combined with strong presentation skills
• Data analytics and metrics management skills
• Critical thinking and problem-solving skills
• Attention to detail
• Experience using computer-aided design (CAD) platforms

Preferred skills and qualifications

• Bachelor’s degree (or equivalent) in product design or engineering
• Previous experience in software and web development
• Proven experience in product management (preferably in [industry/domain, e.g., Fintech, E-commerce]).
• Demonstrable knowledge of SEM (search engine marketing) and online advertising
• Certified Product Manager (CPM) or New Product Development (NPD) Professional Certification a plus.
• Experience with Agile methodologies & Product analytic tools.