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About the Role

We are looking for a highly skilled Machine Learning Lead with proven expertise in demand forecasting to join our team. The ideal candidate will have 4-8 years of experience building and deploying ML models, strong knowledge of AWS ML services and MLOps practices, and the ability to lead a team while working directly with clients. This is a client-facing role that requires strong communication skills, technical depth, and leadership ability.

Key Responsibilities

• Lead end-to-end design, development, and deployment of demand forecasting models.
• Collaborate with clients to gather requirements, define KPIs, and translate business needs into ML solutions.
• Architect and implement ML workflows using AWS ML ecosystem (SageMaker, Bedrock, Lambda, S3, Step Functions, etc.).
• Establish and enforce MLOps best practices for scalable, reproducible, and automated model deployment and monitoring.
• Mentor and guide a team of ML engineers and data scientists, ensuring technical excellence and timely delivery.
• Partner with cross-functional teams (engineering, data, business) to integrate forecasting insights into client systems.
• Present results, methodologies, and recommendations to both technical and non-technical stakeholders.
• Stay updated with the latest advancements in forecasting algorithms, time-series modeling, and AWS ML offerings.

Required Skills & Experience

• 4-8 years of experience in machine learning with a strong focus on time-series forecasting and demand prediction.
• Hands-on experience with AWS ML stack (Amazon SageMaker, Step Functions, Lambda, S3, Athena, CloudWatch, etc.).
• Strong understanding of MLOps pipelines (CI/CD for ML, model monitoring, retraining workflows).
• Proficiency in Python, SQL, and ML libraries (TensorFlow, PyTorch, Scikit-learn, Prophet, GluonTS, etc.).
• Experience working directly with clients and stakeholders to understand business requirements and deliver ML solutions.
• Strong leadership and team management skills, with the ability to mentor and guide junior team members.
• Excellent communication and presentation skills for both technical and business audiences.

Preferred Qualifications

• Experience with retail, FMCG, or supply chain demand forecasting use cases.
• Exposure to generative AI and LLMs for augmenting forecasting solutions.
• AWS Certification (e.g., AWS Certified Machine Learning – Specialty).

What We Offer

• Opportunity to lead impactful demand forecasting projects with global clients.
• Exposure to cutting-edge ML, AI, and AWS technologies.
• Collaborative, fast-paced, and growth-oriented environment.
• Competitive compensation and benefits.

Key Responsibilities:

• Involve in the Design And Development Of Scalable Backend Applications Using Java (Spring Boot).
• Mentor And Guide A Team Of Developers To Ensure High-Quality Deliverables.
• Take Ownership Of Solution Architecture, Coding Standards, And Design Patterns.
• Develop And Manage Restful Apis And Integrate Third-Party Services.
• Collaborate With Front-End Teams, Qa, And Stakeholders To Align Technical Implementation With Business Goals.
• Oversee Deployments In Hybrid Cloud Environments In Coordination With Devops Teams.
• Conduct Code Reviews, Lead Design Discussions, And Manage Agile Development Processes (Scrum/Kanban).
• Monitor Application Performance And Drive Improvements Proactively.
• Troubleshoot And Resolve Complex Software Issues Across Systems And Services.

Required Skills:

• 6+ Years Of Professional Experience In Java Development.
• Strong Hands-On Expertise In Spring Boot And Microservices Architecture.
• Working Knowledge Of Node.Js And Javascript/Typescript.
• Experience With Rest Apis, Sql/Nosql Databases (Mysql, Postgresql, Mongodb).
• Familiar With Ci/Cd Pipelines, Git, And Modern Devops Practices.
• Proven Ability To Lead Distributed Teams And Manage Deliverables In A Remote/Hybrid Work Setup.
• Strong Communication, Leadership, And Problem-Solving Skills.

Roles & Responsibilities:

Lead Generation & Prospecting: Identify potential clients via LinkedIn, cold calls, emails, and networking.

Sales & Revenue Growth: Develop sales strategies to meet targets and drive enrollments.

Client Acquisition & Relationship Management: Build strong relationships with students, professionals, and corporate clients.

Pitching & Presentations: Deliver compelling sales presentations and course demos.

Market Research & Competitive Analysis: Stay updated on industry trends and competitor offerings.

Collaboration & Reporting: Coordinate with marketing, operations, and academic teams while maintaining sales reports.

Negotiation & Deal Closure: Handle pricing discussions, close deals, and ensure customer satisfaction.

Roles and Responsibilities:

1. Create interest in Metapercept solutions through social media, mail outreach, LinkedIn, and other channels.
2. Generate leads and appointments, contacting potential clients to establish rapport and arrange meetings.
3. Planning and overseeing new marketing initiatives.
4. Help drive revenue within targeted accounts.
5. Meet annual growth targets.
6. Provide ongoing opportunity forecasting.
7. Promote a high level of customer satisfaction.
8. Researching organizations to find new opportunities.
9. Developing goals for business growth and ensuring they are met.

Required Abilities:

• Highly motivated and have a hunter mentality.
• Excellent listening, writing, and communication skills.
• Ability to flourish with minimum guidance, be proactive, and handle uncertainty.

•  Experience as a Full Stack Developer or similar role 

  • Familiarity with common stacks
  • Knowledge of multiple front-end languages and libraries (e.g. HTML/ CSS, JavaScript, XML, JSON, jQuery)
  • Knowledge of multiple back-end languages (e.g., C#, Java, Python) and JavaScript frameworks (e.g., Angular, Node.js)
  • Excellent communication and teamwork skills.
  • Great attention to details, Organizational skills, An analytical mind
  • Degree in Computer Science, or relevant field.

  Responsibilities 

  • Work with development teams and product managers to ideate software solutions
  • Design client-side and server-side architecture
  • Build the front-end of applications through appealing visual design
  • Develop and manage well-functioning databases and applications
  • Write effective APIs
  • Test software to ensure responsiveness and efficiency
  • Troubleshoot, debug and upgrade software
  • Create security and data protection settings
  • Build features and applications with a mobile responsive design.

   

Job Brief:

You'll be joining Mindtickle’s InfoSec and Compliance team, which is responsible for various functions related to Security, Privacy, and Compliance around Mindtickle's rapidly growing cloud platform. You'll play a crucial role in all our compliance & information security initiatives, including but not limited to those arising from regulations (e.g., GDPR, CCPA, UK DPA 2018, FINRA), audit requirements (e.g., SOC 2, HIPAA), and customer/ prospects requests (typically large enterprises).

As Data Privacy & Compliance Manager, you will champion the highest data privacy standards and drive forward compliance across all of Mindtickle. Crucial to this role will be an expert knowledge of international data protection laws and a proactive and pragmatic approach towards data privacy and compliance. 

Key Responsibilities:

• Act as the single point of contact for all privacy-related topics, including communication with customers and prospects, including RFPs, emails, or privacy calls

• Closely working with the internal legal team and external legal counsel to support the review of third parties/customer data processing addendums (DPAs), standard contractual clauses, contracts, and other data protection agreements

• Maintain the data protection terms agreed with customers in a contract management software

• Perform due diligence of new third parties and periodic risk review of existing third parties, including processes around sub-processors

• Support in other industry compliance projects such as ADA, Section 508, WCAG, FINRA, 21 CFR Part 11, etc.

• Lead the assessment of new legislation or other regulatory changes (GDPR, CCPA, UK DPA 2018, LGPD, PIPEDA, Swiss FDAP) and make recommendations as necessary to ensure that risks are mitigated as well as ongoing compliance

• To work flexibly and collaboratively across all teams in the organization while driving privacy & compliance-related projects, including sales, customer success, product, and engineering

• Own internal and external privacy audit projects, including planning, scoping, need analysis, ongoing project management, and communications with all relevant stakeholders

• Onboard privacy solutions, design, build and deploy data privacy programs on the solutions to ensure compliance with privacy requirements

• Maintain Records of Processing Activities (ROPA) and ensure Privacy By Design for new features/changes in the platform

• Undertake all other reasonable and related tasks associated with this role
  
  

Desired Qualification:

• 5-10 years of experience in data privacy and compliance, with exposure to cloud software platforms

• Extensive experience in data protection and knowledge of relevant legislation, including GDPR, Standard Contractual Clauses, Transfer Impact Assessment, CCPA, UK DPA 2018, LGPD, PIPEDA, Swiss FDAP, etc.

• Certifications such as CIPP/E, CIPP/US, CIPM, CIPT, etc., are preferred

• Specialist knowledge in a relevant area, e.g., data security and individual rights requests

• Excellent communication, interpersonal, project management, and issue resolution skills

• Excellent analytical skills, organizational skills, ingenuity, and the ability to work as part of a team

• Experience in managing privacy audits and risk management processes

• Demonstrated ability to learn quickly, take the initiative, and drive complex projects

• Client acquisition & servicing.
• Understanding of currency / equity / banking markets
• Sales & marketing of financial products / services
• Experience with selling of financial products / services will be preferred.

Job Role :

• Creating data base of potential clients
• Fixing meetings with prospective clients through cold calling or references
• Holding meetings with prospective clients and informing them about products / services offered.
• Responsible for overall Marketing and achieving annual budgets. 
• Analyzing financials of prospective clients to gauge best alternatives and cost reduction