Sales Executive

Roles and Responsibilities include but are not limited to :

• 2+ years of inside-sales experience (preferably B2B), ideally with high-volume prospecting and outreach

• Experience in Singapore IT Sales.

• Comfortable working in Singapore time zone shifts.

• The Associate would be responsible for making enhanced outbound calls following a diligent process toward converting leads

• Actively seek out new sales opportunities through cold calling, networking and social media.

• Intensely following up with the prospects and closing the sales within the sales cycle

• Achieving the weekly targets in a performance-driven competitive environment

• Scheduling direct meetings (in Singapore) for the Management with new clients through targeted outbound campaigns.

• Well-equipped in handling the complete sales cycle from Lead sourcing to Lead closure.

Skills/Abilities :

• Exceptional communicator and influencer who can deliver sales pitches like a charm.

• Confident and persevering risk-taker who thrives in a high-performance high-growth environment.

• Good Communication skills (Fluency in English)

• Preferred existing experience working in IT Companies.

HR Intern – Job Description

Position: HR Intern

Company: Honeybee Digital

Location: Remote

Internship Type: Full-Time / Part-Time

Duration: 3 to 6 Months

About the Role

We are looking for a proactive and enthusiastic HR Intern to support our Human Resources team in recruitment, employee engagement, and administrative activities. This internship is a great opportunity for students or freshers who want practical exposure to HR operations and talent management.

Key Responsibilities

• Assist in sourcing and screening candidates through job portals and social media
• Schedule interviews and coordinate with candidates
• Maintain employee and candidate databases
• Support onboarding and documentation processes
• Help create job postings and internship listings
• Assist in employee engagement activities and internal communication
• Handle basic HR administrative tasks
• Coordinate with different departments for hiring requirements

Requirements

• Good communication and interpersonal skills
• Strong organizational and coordination abilities
• Basic knowledge of HR processes and recruitment
• Familiarity with Google Workspace/MS Office
• Positive attitude and willingness to learn
• Ability to handle confidential information professionally
• 
  

Preferred Skills

• Knowledge of recruitment platforms like LinkedIn, Indeed, or Internshala
• Basic understanding of HR policies and operations
• Social media communication skills are a plus

What You’ll Gain

• Hands-on experience in recruitment and HR operations
• Exposure to real-world hiring processes
• Mentorship from experienced HR professionals
• Internship Certificate
• Letter of Recommendation based on performance
• Opportunity for full-time placement after successful completion

Role Summary

The Production Planning Engineer is responsible for developing, implementing, and optimizing manufacturing plans and schedules to produce complex aerospace components. This role ensures efficient material flow, maximizes resource utilization, and guarantees all production activities meet rigorous safety and quality standards (AS9100).

Key Responsibilities

 Production Scheduling: Create and maintain detailed production schedules and work orders that balance customer demand, material availability, and facility capacity across various manufacturing cells (e.g., CNC machining, assembly and Fabrication).

 Process Optimization: Analyze current manufacturing processes to identify inefficiencies, bottlenecks, and areas for improvement. Implement Lean Manufacturing and Six Sigma methodologies (e.g., Kaizen events, value stream mapping) to enhance efficiency and reduce lead times.

 Work Instruction Development: Collaborate with manufacturing engineers to develop clear, detailed work instructions, Standard Operating Procedures (SOPs), and build plans that comply with engineering specifications and quality requirements.

 ERP/MRP Management: Utilize the company’s Enterprise Resource Planning (ERP) or Manufacturing Resource Planning (MRP) systems (e.g., SAP, Oracle, IFS) to manage production data, track inventory, update BOMs (Bill of Materials), and monitor work-in-progress (WIP).

 Capacity & Resource Planning: Conduct capacity analyses for labor and machinery, forecasting future needs and coordinating with management to ensure adequate resources are available for upcoming projects.

 Problem Solving & Coordination: Act as the technical liaison between the production floor, quality assurance, engineering, and supply chain teams to resolve immediate production issues (material shortages, design queries, quality holds) and prevent delays.

 Compliance & Documentation: Ensure all planning and production activities adhere strictly to aerospace quality management systems (e.g., AS9100, ISO 9001). Maintain accurate production records and performance metrics (KPIs).

Required Qualifications and Skills

 Education: Bachelor's degree in Industrial Engineering, Manufacturing Engineering, Mechanical Engineering, or a related technical discipline from an accredited institution.

Experience:  Minimum of 1-3 years of experience in production planning, manufacturing engineering, or process planning within an aerospace or high-compliance, regulated manufacturing environment.

 Hands-on experience with typical aerospace manufacturing processes (e.g., precision machining, sheet metal fabrication, complex assembly).

Technical Skills:

 ERP/MRP Proficiency: Strong proficiency in using major ERP/MRP systems for production planning and inventory control.

 Methodologies: Solid understanding of Lean Manufacturing principles, Six Sigma, and continuous improvement tools.

 Data Analysis: Strong analytical skills with proficiency in data analysis tools (e.g., advanced Excel, Minitab).

 Technical Acumen: Ability to interpret complex engineering drawings, blueprints, and Geometric Dimensioning & Tolerancing (GD&T) per ASME Y14.5 standards.

Soft Skills:

 Excellent organizational skills, attention to detail, and ability to manage multiple priorities in a dynamic environment. Alpha-Tocol Engineering Services Pvt. Ltd.

 Strong communication and interpersonal skills, with the ability to lead and collaborate effectively across different departments.

 Proactive problem-solver with a focus on results and efficiency.

Preferred Qualifications

 Certifications such as APICS Certified in Production and Inventory Management (CPIM) or Six Sigma Green Belt/Black Belt.

 Experience with advanced planning and scheduling (APS) software. 

Job Summary:

We are seeking a highly skilled and certified Workday Functional Consultant with 5–10 years of hands-on experience in Workday implementation, support, and enhancement projects. The ideal candidate will hold certification in one or more of the following modules:

• Core HCM
• Core & Advanced Compensation
• Payroll & Absence
• Security
• Workday Help
• Recruitment

The role involves working closely with business stakeholders, HRIS teams, and technical consultants to deliver scalable and efficient Workday solutions aligned with business needs.

Key Responsibilities:

• Act as a subject matter expert (SME) in one or more certified Workday modules.
• Lead or support Workday implementations, enhancements, or optimization projects.
• Translate business requirements into functional configurations within Workday.
• Participate in or lead design sessions and provide functional recommendations.
• Configure and test Workday modules based on approved requirements.
• Support Workday system upgrades and new feature rollouts.
• Assist in resolving daily operational and production issues.
• Provide end-user training, documentation, and support.
• Work collaboratively with cross-functional teams including HR, Finance, IT, and external vendors.
• Ensure Workday security configuration and access control are aligned with compliance standards.
• Perform data analysis, validation, and reconciliation related to Workday transactions and integrations.

Required Qualifications:

• 5–10 years of hands-on Workday functional experience.
• Certification in at least one of the following Workday modules (must be current or verifiable):
• Core HCM
• Core & Advanced Compensation
• Payroll & Absence
• Security
• Workday Help
• Recruitment
• Experience in full lifecycle Workday implementation(s) or major enhancement projects.
• Strong knowledge of Workday business processes, security, and reporting.
• Excellent problem-solving, communication, and stakeholder management skills.
• Ability to work independently and collaboratively in a fast-paced environment.

Preferred Qualifications:

• Multi-module certification is a strong plus.
• Experience with Workday Studio or Integrations is a plus (even if not core responsibility).
• Familiarity with agile project methodologies.
• Workday reporting (custom reports, dashboards) experience.

Job Description
Lead Machine Learning (ML)/
NLP Engineer
5 + years of experience

About Contify
Contify is an AI-enabled Market and Competitive Intelligence (MCI)
software to help professionals make informed decisions. Its B2B SaaS
platform helps leading organizations such as Ericsson, EY, Wipro,
Deloitte, L&T, BCG, MetLife, etc. track information on their competitors,
customers, industries, and topics of interest by continuously monitoring
over 500,000+ sources on a real-time basis. Contify is rapidly growing
with 185+ people across two offices in India. Contify is the winner of
Frost and Sullivan’s Product Innovation Award for Market and
Competitive Intelligence Platforms.

The role
We are looking for a hardworking, aspirational, and innovative
engineering person for the Lead ML/ NLP Engineer position. You’ll build
Contify’s ML and NLP capabilities and help us extract value from
unstructured data. Using advanced NLP, ML, and text analytics, you will
develop applications that will extract business insights by analyzing a
large amount of unstructured text information, identifying patterns, and
by connecting the events.
Responsibilities:
You will be responsible for all the processes from data collection, and
pre-processing, to training models and deploying them to production.
➔ Understand the business objectives; design and deploy scalable
ML models/ NLP applications to meet those objectives
➔ Use of NLP techniques for text representation, semantic analysis,
information extraction, to meet the business objectives in an
efficient manner along with metrics to measure progress
➔ Extend existing ML libraries and frameworks and use effective text
representations to transform natural language into useful features
➔ Defining and supervising the data collection process, verifying data
quality, and employing data augmentation techniques
➔ Defining the preprocessing or feature engineering to be done on a
given dataset
➔ Analyze the errors of the model and design strategies to overcome
them
➔ Research and implement the right algorithms and tools for ML/
NLP tasks
➔ Collaborate with engineering and product development teams
➔ Represent Contify in external ML industry events and publish
thought leadership articles

Desired Skills and Experience
To succeed in this role, you should possess outstanding skills in
statistical analysis, machine learning methods, and text representation
techniques.
➔ Deep understanding of text representation techniques (such as n-
grams, bag of words, sentiment analysis, etc), statistics and
classification algorithms
➔ Hand on experience in feature extraction techniques for text
classification and topic mining
➔ Knowledge of text analytics with a strong understanding of NLP
algorithms and models (GLMs, SVM, PCA, NB, Clustering, DTs)
and their underlying computational and probabilistic statistics
◆ Word Embedding like Tfidf, Word2Vec, GLove, FastText, etc.
◆ Language models like Bert, GPT,  RoBERTa, XLNet 
◆ Neural networks like RNN, GRU, LSTM, Bi-LSTM
◆ Classification algorithms like LinearSVC, SVM, LR
◆ XGB, MultinomialNB, etc.
◆ Other Algos- PCA, Clustering methods, etc
➔ Excellent knowledge and demonstrable experience in using NLP
packages such as NLTK, Word2Vec, SpaCy, Gensim, Standford
CoreNLP, TensorFlow/ PyTorch.
➔ Experience in setting up supervised & unsupervised learning
models including data cleaning, data analytics, feature creation,
model selection & ensemble methods, performance metrics &
visualization
➔ Evaluation Metrics- Root Mean Squared Error, Confusion Matrix, F
Score, AUC – ROC, etc
➔ Understanding of knowledge graph will be a plus


Qualifications
➔ Education: Bachelors or Masters in Computer Science,
Mathematics, Computational Linguistics or similar field
➔ At least 4 years' experience building Machine Learning & NLP
solutions over open-source platforms such as SciKit-Learn,
Tensorflow, SparkML, etc
➔ At least 2 years' experience in designing and developing
enterprise-scale NLP solutions in one or more of: Named Entity
Recognition, Document Classification, Feature Extraction, Triplet
Extraction, Clustering, Summarization, Topic Modelling, Dialog
Systems, Sentiment Analysis
➔ Self-starter who can see the big picture, and prioritize your work to
make the largest impact on the business’ and customer’s vision
and requirements
➔ Being a committer or a contributor to an open-source project is a
plus

Note
Contify is a people-oriented company. Emotional intelligence, therefore,
is a must. You should enjoy working in a team environment, supporting
your teammates in pursuit of our common goals, and working with your
colleagues to drive customer value. You strive to not only improve
yourself, but also those around you.

• Experience of providing technical leadership in the Big Data space (Hadoop Stack like Spark, M/R, HDFS, Pig, Hive, HBase, Flume, Sqoop, etc. Should have contributed to open source Big Data technologies.
• Expert-level proficiency in Python
• Experience in visualizing and evangelizing next-generation infrastructure in Big Data space (Batch, Near Real-time, Real-time technologies).
• Passionate for continuous learning, experimenting, applying, and contributing towards cutting edge open source technologies and software paradigms
• Strong understanding and experience in distributed computing frameworks, particularly Apache Hadoop 2.0 (YARN; MR & HDFS) and associated technologies.
• Hands-on experience with Apache Spark and its components (Streaming, SQL, MLLib)
  Operating knowledge of cloud computing platforms (AWS, especially EMR, EC2, S3, SWF services, and the AWS CLI)
• Experience working within a Linux computing environment, and use of command-line tools including knowledge of shell/Python scripting for automating common tasks
•  

1. Interfacing with the customer, tech team members, project managers and other relevant product people for a thorough understanding of the product, use case and business objective, detailed specification and data flow for the requirement, demonstration of the solution and clarification of queries at appropriate times during the life-cycle of the product
2. Preparing test cases, setting up CI/CD and integration with logging and monitoring systems for the products or platforms by the end of 6 months
3. Seeking customer feedback to continuously optimize the product for great customer experience and high technical performance in areas such as hardware efficiency, latency and throughput
4. Delivering a robust backend platform for the products and platforms by incorporating important considerations regarding minimal downtime, high availability, data redundancy, tight security, etc. into the design

Analytical and Problem Solving Skills

• Has high grasping power. Able to quickly and proficiently understand and absorb qualitative or quantitative data and draw insightful conclusions from it. Exhibits a probing mind and achieves penetrating insights. Attention to detail. Does not let important details slip through the cracks and derail a project. Generates new and innovative approaches to problems.

Efficiency and Execution

• Able to produce significant output with minimal wasted effort in a timely manner. Focuses on key priorities.

Hard Work and Persistence

• Possesses a strong willingness to work hard and sometimes long hours to get the job done.
• Demonstrates determination and willingness to go the distance to get something done.

Flexibility and Adaptability

• Adjusts quickly to changing priorities and conditions. Copes effectively with complexity and change. Demonstrates ability to learn new things.

Calm under Pressure

• Maintains stable performance when under heavy pressure or stress.

Team Player

• Reaches out to peers and cooperates with supervisors to establish an overall collaborative working relationship. Works proactively without always being told what to do.