Business Developer

Key Responsibilities:

1. Video Editing:

• Edit raw footage into a cohesive and visually appealing final product, including cutting and trimming scenes, rearranging sequences, and adding transitions.
• Incorporate music, dialogues, graphics, and special effects to enhance the video’s narrative and visual appeal.
• Review shooting script and raw material to create a shot decision list based on scenes’ value and contribution to continuity.

2.Special Effects and Graphics:

• Add special effects, motion graphics, and animations to enhance video storytelling and visual appeal.
• Create or incorporate pre-existing graphics, such as lower thirds, titles, and credits, into the video.

3.Collaboration and Communication:

• Work closely with the director, producers, and other team members to understand the vision and requirements for each project.
• Provide creative input during brainstorming sessions and offer suggestions for improving the video’s narrative and visual style.
• Communicate regularly with the production team to ensure alignment on project goals, timelines, and deliverables.

1. Color Correction and Grading:

• Perform color correction to ensure consistency and accuracy across all scenes.
• Apply color grading techniques to create the desired mood and atmosphere in the video.

4.File Management and Archiving:

• Organize and manage digital video files, ensuring proper naming conventions and storage for easy retrieval.
• Archive completed projects in an organized manner for future reference or reuse.

5.Quality Control:

• Review final videos to ensure they meet technical standards for broadcasting, including resolution, aspect ratio, and audio quality.
• Make necessary revisions based on feedback from clients or stakeholders.

6.Continuous Learning and Improvement:

• Stay updated with the latest video editing software, tools, and techniques.
• Attend workshops, webinars, and training sessions to enhance video editing skills and keep up with industry trends.

Qualifications:

• Bachelor’s degree in Film, Media, Communications, or a related field.
• Proven experience as a Video Editor or similar role.
• Proficiency with video editing software (e.g., Adobe Premiere Pro, Final Cut Pro, After Effects).
• Strong understanding of video formats, codecs, and editing workflows.
• Creative mindset with a strong eye for visual composition and storytelling.
• Ability to work independently and collaboratively, with strong time management and organizational skills.
• Knowledge of color correction and audio editing is a plus.

Good Communication skills

Logistics & supply chain undersating

invintory management, Data management, MS Excel.

DATA ENGINEER

Overview

They started with a singular belief - what is beautiful cannot and should not be defined in marketing meetings. It's defined by the regular people like us, our sisters, our next-door neighbours, and the friends we make on the playground and in lecture halls. That's why we stand for people-proving everything we do. From the inception of a product idea to testing the final formulations before launch, our consumers are a part of each and every process. They guide and inspire us by sharing their stories with us. They tell us not only about the product they need and the skincare issues they face but also the tales of their struggles, dreams and triumphs. Skincare goes deeper than skin. It's a form of self-care for many. Wherever someone is on this journey, we want to cheer them on through the products we make, the content we create and the conversations we have. What we wish to build is more than a brand. We want to build a community that grows and glows together - cheering each other on, sharing knowledge, and ensuring people always have access to skincare that really works.

Job Description:

We are seeking a skilled and motivated Data Engineer to join our team. As a Data Engineer, you will be responsible for designing, developing, and maintaining the data infrastructure and systems that enable efficient data collection, storage, processing, and analysis. You will collaborate with cross-functional teams, including data scientists, analysts, and software engineers, to implement data pipelines and ensure the availability, reliability, and scalability of our data platform.

Responsibilities:

Design and implement scalable and robust data pipelines to collect, process, and store data from various sources.

Develop and maintain data warehouse and ETL (Extract, Transform, Load) processes for data integration and transformation.

Optimize and tune the performance of data systems to ensure efficient data processing and analysis.

Collaborate with data scientists and analysts to understand data requirements and implement solutions for data modeling and analysis.

Identify and resolve data quality issues, ensuring data accuracy, consistency, and completeness.

Implement and maintain data governance and security measures to protect sensitive data.

Monitor and troubleshoot data infrastructure, perform root cause analysis, and implement necessary fixes.

Stay up-to-date with emerging technologies and industry trends in data engineering and recommend their adoption when appropriate.

Qualifications:

Bachelor’s or higher degree in Computer Science, Information Systems, or a related field.

Proven experience as a Data Engineer or similar role, working with large-scale data processing and storage systems.

Strong programming skills in languages such as Python, Java, or Scala.

Experience with big data technologies and frameworks like Hadoop, Spark, or Kafka.

Proficiency in SQL and database management systems (e.g., MySQL, PostgreSQL, or Oracle).

Familiarity with cloud platforms like AWS, Azure, or GCP, and their data services (e.g., S3, Redshift, BigQuery).

Solid understanding of data modeling, data warehousing, and ETL principles.

Knowledge of data integration techniques and tools (e.g., Apache Nifi, Talend, or Informatica).

Strong problem-solving and analytical skills, with the ability to handle complex data challenges.

Excellent communication and collaboration skills to work effectively in a team environment.

Preferred Qualifications:

Advanced knowledge of distributed computing and parallel processing.

Experience with real-time data processing and streaming technologies (e.g., Apache Kafka, Apache Flink).

Familiarity with machine learning concepts and frameworks (e.g., TensorFlow, PyTorch).

Knowledge of containerization and orchestration technologies (e.g., Docker, Kubernetes).

Experience with data visualization and reporting tools (e.g., Tableau, Power BI).

Certification in relevant technologies or data engineering disciplines.

Your responsibilities could include:

• Managing your area of responsibility, including providing support, absence management, discipline and grievance, and recruitment activities
• Effectively setting out goals and objectives for your team, including those for supervisory roles that may fall under your reporting line and structure
• Acting as a role model and always behaving in line with our company values
• Driving employee engagement by personal interaction and engagement with your team in order to develop and coach them in their duties and responsibilities
• Managing contractual budgets in line with financial targets
• Ensuring all aspects of the required security services are being delivered to the customers’ satisfaction and in accordance with the contract
• Ensuring there are sufficient trained, licenced and vetted staff working at all times to meet customer and contract requirements
• Ensuring contract required training and screening / vetting has been completed for all security staff
• Developing professional customer relationships, responding appropriately to customer requests and concerns
• Completing effective health & safety assessments, ensuring accurate and timely reporting of any incidents, involvement in subsequent investigations and providing input into health & safety committees or forums.
• Completing risk assessments and site evaluations as well as completing monthly performance reports and billing schedules
•  

Skills and experience

Ideally, we’re looking for people with

• A checkable personal history including periods of education, employment, travel and unemployment
• Prior experience of working in a similar operational management role , ideally within the security industry
• A valid security industry licence or accepted certificate of security competence
• Excellent verbal and written communication skills, interacting both internally and externally
• Excellent customer service skills
• Excellent organisational skills
• Ability to successfully manage a team
• Track record of working in a fast paced and demanding environmen

Responsibilities and Duties

 Handling Import Documentation.  Update Client for Shipment Status.  Daily DSR Report to Party & Head Office.  Trace the shipment status through websites and by personal contact to shipping lines.  Resolving customer queries with help of documentation team.  Handling Good Communicate with consignee, S/ Line, CFS, Transporter by mail.  Checking shipment arrival and IGM details in ICEGATE of customs.  Consignee Dispatch requirement as per schedule to various plant.  Collect the delivery orders from shipping line and freight forwarders and clearing fromPORT/CFS.  Handling DPD Client shipments with BMCT, NSICT, NSIGT, JNPT & GTI Terminals.  Co-Ordination with custom clearance dept for getting status and to avail required Documents.  Good Communicate to clear shipment with in free days without Detention & Demurrage.  Co-ordinating with Delivery Agent/ Transporter for Delivery of Shipment & Planning forDelivery.  Sending import Agency Bill with Shipping, CFS, Container Survey, Transporter Bill & etc.  Arranging for payment of Imports Bills

Job Summary

As a Data Science Lead, you will manage multiple consulting projects of varying complexity and ensure on-time and on-budget delivery for clients. You will lead a team of data scientists and collaborate across cross-functional groups, while contributing to new business development, supporting strategic business decisions and maintaining & strengthening client base

1. Work with team to define business requirements, come up with analytical solution and deliver the solution with specific focus on Big Picture to drive robustness of the solution
2. Work with teams of smart collaborators. Be responsible for their appraisals and career development.
3. Participate and lead executive presentations with client leadership stakeholders.
4. Be part of an inclusive and open environment. A culture where making mistakes and learning from them is part of life
5. See how your work contributes to building an organization and be able to drive Org level initiatives that will challenge and grow your capabilities.

​​​​​​Role & Responsibilities

1. Serve as expert in Data Science, build framework to develop Production level DS/AI models.
2. Apply AI research and ML models to accelerate business innovation and solve impactful business problems for our clients.
3. Lead multiple teams across clients ensuring quality and timely outcomes on all projects.
4. Lead and manage the onsite-offshore relation, at the same time adding value to the client.
5. Partner with business and technical stakeholders to translate challenging business problems into state-of-the-art data science solutions.
6. Build a winning team focused on client success. Help team members build lasting career in data science and create a constant learning/development environment.
7. Present results, insights, and recommendations to senior management with an emphasis on the business impact.
8. Build engaging rapport with client leadership through relevant conversations and genuine business recommendations that impact the growth and profitability of the organization.
9. Lead or contribute to org level initiatives to build the Tredence of tomorrow.

Qualification & Experience

1. Bachelor's /Master's /PhD degree in a quantitative field (CS, Machine learning, Mathematics, Statistics, Data Science) or equivalent experience.
2. 6-10+ years of experience in data science, building hands-on ML models
3. Expertise in ML – Regression, Classification, Clustering, Time Series Modeling, Graph Network, Recommender System, Bayesian modeling, Deep learning, Computer Vision, NLP/NLU, Reinforcement learning, Federated Learning, Meta Learning.
4. Proficient in some or all of the following techniques: Linear & Logistic Regression, Decision Trees, Random Forests, K-Nearest Neighbors, Support Vector Machines ANOVA , Principal Component Analysis, Gradient Boosted Trees, ANN, CNN, RNN, Transformers.
5. Knowledge of programming languages SQL, Python/ R, Spark.
6. Expertise in ML frameworks and libraries (TensorFlow, Keras, PyTorch).
7. Experience with cloud computing services (AWS, GCP or Azure)
8. Expert in Statistical Modelling & Algorithms E.g. Hypothesis testing, Sample size estimation, A/B testing
9. Knowledge in Mathematical programming – Linear Programming, Mixed Integer Programming etc , Stochastic Modelling – Markov chains, Monte Carlo, Stochastic Simulation, Queuing Models.
10. Experience with Optimization Solvers (Gurobi, Cplex) and Algebraic programming Languages(PulP)
11. Knowledge in GPU code optimization, Spark MLlib Optimization.
12. Familiarity to deploy and monitor ML models in production, delivering data products to end-users.
13. Experience with ML CI/CD pipelines.

• Develop a growth strategy focused both on financial gain and customer satisfaction
• Conduct research to identify new markets and customer needs
• Arrange business meetings with prospective clients
• Promote the company’s products/services addressing or predicting clients’ objectives
• Prepare sales contracts ensuring adherence to law-established rules and guidelines
• Keep records of sales, revenue, invoices etc.
• Provide trustworthy feedback and after-sales support
• Build long-term relationships with new and existing customers
• Develop entry level staff into valuable salespeople

• Proven working experience as a business development manager, sales executive or a relevant role
• Experience in customer support is a plus
• Proficiency in MS Office and CRM software (e.g. Salesforce)
• Proficiency in English
• Communication and negotiation skills
• Ability to build rapport
• Time management and planning skills

• Lead technical requirement sessions with clients and internal stake holders
• Create new courses related to Data architecture, database design, data mining, data visualization, Power BI for the learners of EduBridge
• Deliver training to the aspiring trainers
• Design and create training manuals, online learning modules, and course materials on
• Review training materials from a variety of sources and choose appropriate materials
• Should be comfortable working individually as a self-starter.
• Be forward-thinking when designing content and adhere to adult learning principles
• Enjoy working with tight deadlines and providing valuable input on projects to enhance and customize training processes to exceed operational needs
• Creating instructional content that incorporates audio and video
• Create knowledge and skills assessments
• Evaluate learning effectiveness
• Apply current research and theory to learning design challenges
• Write/Review storyboards to make the technical content interesting

Key Responsibilities

• There are two main responsibilities of the role:
  • to increase the overall top line by increasing the application rate(optimizing the funnel) 
  • ensuring more users are retained post the first consumption cycle. 
• Create and refine effective programs that leverage tenure and customer behaviour data, and include a mix of triggered and targeted campaigns.
• Identify key, measurable metrics for Customer lifecycle programs with a focus to test and scale rapidly.
• Create, implement and optimize daily/weekly/monthly campaigns and user journeys (retention and reactivation - both automated and not automated)
• Generate deep insights about customers that increase their retention, root-cause & predict churn and lead to inventing new ways to delight and retain customers. Will include conducting primary & secondary customer research through surveys and talking directly with customers. 
• Experiment across the whole retention & re-activation funnel constantly looking for maximum impact on DAU (daily active users)
• Brainstorm new ways of segmenting potential customers and means of communication, leading to quick-test pilots with clear measurable outcomes