Business Analyst

Position Summary:

We are seeking a detail-oriented and experienced Quality Control person to join our team, a

designer and manufacturer of high performance elastomeric seals. The primary responsibility of

this role is to ensure the quality of incoming and outgoing materials, as well as inspect in-process

plastic and metal components to maintain the highest product standards.

Key Responsibilities:

1. Incoming and Outgoing Material Inspection:

- Inspect and verify the quality of raw materials, elastomers, plastics, and metal components.

- Compare incoming materials to specifications, purchase orders, and certifications.

- Prepare and maintain detailed records of material inspections and test results.

2. In-Process Inspection:

- Monitor production processes to ensure compliance with quality standards.

- Conduct dimensional and visual inspections of plastic and metal components during

manufacturing.

- Identify and report non-conformities and initiate corrective actions.

3. Final Product Inspection:

- Conduct detailed inspections of finished elastomeric seals and other components before

shipment.

- Verify compliance with customer specifications and regulatory requirements.

4. Documentation and Reporting:

- Maintain detailed inspection records, test reports, and calibration logs.

- Prepare and submit quality reports to the Quality Manager and production team.

5. Collaboration and Continuous Improvement:

- Work closely with production, engineering, and purchasing teams to address quality issues.

- Assist in root cause analysis and corrective action plans for identified defects.

- Participate in continuous improvement initiatives to enhance product quality and process

efficiency.

6. Equipment Maintenance and Calibration:

- Ensure inspection tools and equipment are calibrated and in good working condition.

- Schedule regular maintenance and calibration of measurement devices.

Qualifications and Skills:

- Education: A Bachelor’s degree in Science (preferably Physics) or a B.E Degree (Mechanical /

Industrial) or a related field is preferred.

- Experience: Minimum 1-2 years of experience in quality control, preferably in the elastomeric

seals, plastics industry.

Technical Skills:

- Proficiency in using inspection tools such as calipers, micrometers, CMMs, and gauges.

- Strong understanding of technical drawings, specifications, and GD&T.

- Familiarity with ISO 9001 and other quality management systems.

Soft Skills:

- Strong attention to detail and analytical skills.

- Excellent communication and documentation abilities in English is a must.

- Proficiency in Microsoft Excel, Powerpoint and Word.

- Ability to work independently and as part of a team in a fast-paced environment.

- Knowledge of Lean Six Sigma and 5S is preferred.

Springer Capital is a cross-border asset management firm specializing in real estate investment banking between China and the USA. We are offering a remote internship for creative students or recent graduates interested in branding, instructional content, and graphic design. The internship offers flexible start and end dates. A short design task may be required as part of the selection process.

Responsibilities:

• Assist in creating visual assets for branding, presentations, and training materials.
• Design instructional graphics and layouts to support internal and external communications.
• Contribute to the development of branding guidelines and visual identity.
• Collaborate with teams to produce graphics for social media, reports, and marketing campaigns.
• Edit and format documents, slide decks, and visuals to ensure consistency.
• Research industry trends to recommend creative design improvements.

Please send your resume to talent@springercapital

Role Description:

As a Senior Data Science and Modeling Specialist at Incedo, you will be responsible for developing and deploying predictive models and machine learning algorithms to support business decision-making. You will work with data scientists, data engineers, and business analysts to understand business requirements and develop data-driven solutions. You will be skilled in programming languages such as Python or R and have experience in data science tools such as TensorFlow or Keras. You will be responsible for ensuring that models are accurate, efficient, and scalable.

Roles & Responsibilities:

• Developing and implementing machine learning models and algorithms to solve complex business problems
• Conducting data analysis and modeling using statistical and data analysis tools
• Collaborating with other teams to ensure the consistency and integrity of data
• Providing guidance and mentorship to junior data science and modeling specialists
• Presenting findings and recommendations to stakeholders

Technical Skills

Skills Requirements:

• Proficiency in statistical analysis techniques such as regression analysis, hypothesis testing, or time-series analysis.
• Knowledge of machine learning algorithms and techniques such as supervised learning, unsupervised learning, or reinforcement learning.
• Experience with data wrangling and data cleaning techniques using tools such as Python, R, or SQL.
• Understanding of big data technologies such as Hadoop, Spark, or Hive.
• Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner.
• Must understand the company's long-term vision and align with it.
• Provide leadership, guidance, and support to team members, ensuring the successful completion of tasks, and promoting a positive work environment that fosters collaboration and productivity, taking responsibility of the whole team.

Qualifications

• 4-6 years of work experience in relevant field
• B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

The Business Development Manager will be responsible for identifying and pursuing new business opportunities, building and maintaining strong relationships with clients, and driving revenue growth. The ideal candidate is a strategic thinker with a proven track record of success in business development and sales.

Key Responsibilities:

Identify, evaluate, and pursue new business opportunities to achieve revenue and growth targets.

Develop and implement strategic business development plans to expand the company's customer base and market presence.

Build and maintain strong, long-lasting client relationships through regular communication and by understanding their needs.

Conduct market research to identify new trends, opportunities, and competitive activities.

Collaborate with internal teams to develop customized proposals, presentations, and sales strategies.

Negotiate contracts and agreements with clients, ensuring mutually beneficial outcomes.

Track and report on business development activities, including pipeline status, revenue forecasts, and market feedback.

Represent the company at industry events, conferences, and trade shows to network and promote the company's offerings.

Stay up-to-date with industry trends and competitors to identify new business opportunities and potential partnerships.

Provide feedback to senior management on market trends, competition, and customer feedback to help shape the company's strategic direction.

Qualifications:

Bachelor's degree in Business, Marketing, or a related field. MBA is a plus.

Proven experience as a Business Development Manager, Sales Manager, or similar role.

Strong understanding of the market, industry trends, and competitive landscape.

Excellent communication, negotiation, and presentation skills.

Ability to build and maintain relationships with clients and stakeholders.

Strong problem-solving skills and the ability to think strategically.

Proficiency in CRM software and Microsoft Office Suite.

Self-motivated, goal-oriented, and able to work independently as well as part of a team.

5-7 years of experience in Data Engineering with solid experience in design, development and implementation of end-to-end data ingestion and data processing system in AWS platform.

2-3 years of experience in AWS Glue, Lambda, Appflow, EventBridge, Python, PySpark, Lake House, S3, Redshift, Postgres, API Gateway, CloudFormation, Kinesis, Athena, KMS, IAM.

Experience in modern data architecture, Lake House, Enterprise Data Lake, Data Warehouse, API interfaces, solution patterns, standards and optimizing data ingestion.

Experience in build of data pipelines from source systems like SAP Concur, Veeva Vault, Azure Cost, various social media platforms or similar source systems.

Expertise in analyzing source data and designing a robust and scalable data ingestion framework and pipelines adhering to client Enterprise Data Architecture guidelines.

Proficient in design and development of solutions for real-time (or near real time) stream data processing as well as batch processing on the AWS platform.

Work closely with business analysts, data architects, data engineers, and data analysts to ensure that the data ingestion solutions meet the needs of the business.

Troubleshoot and provide support for issues related to data quality and data ingestion solutions. This may involve debugging data pipeline processes, optimizing queries, or troubleshooting application performance issues.

Experience in working in Agile/Scrum methodologies, CI/CD tools and practices, coding standards, code reviews, source management (GITHUB), JIRA, JIRA Xray and Confluence.

Experience or exposure to design and development using Full Stack tools.

Strong analytical and problem-solving skills, excellent communication (written and oral), and interpersonal skills.

Bachelor's or master's degree in computer science or related field.

Job description Position: Data Engineer Experience: 6+ years Work Mode: Work from Office Location: Bangalore Please note: This position is focused on development rather than migration. Experience in Nifi or Tibco is mandatory.Mandatory Skills: ETL, DevOps platform, Nifi or Tibco We are seeking an experienced Data Engineer to join our team. As a Data Engineer, you will play a crucial role in developing and maintaining our data infrastructure and ensuring the smooth operation of our data platforms. The ideal candidate should have a strong background in advanced data engineering, scripting languages, cloud and big data technologies, ETL tools, and database structures.

Responsibilities: •  Utilize advanced data engineering techniques, including ETL (Extract, Transform, Load), SQL, and other advanced data manipulation techniques. •   Develop and maintain data-oriented scripting using languages such as Python. •   Create and manage data structures to ensure efficient and accurate data storage and retrieval. •   Work with cloud and big data technologies, specifically AWS and Azure stack, to process and analyze large volumes of data. •   Utilize ETL tools such as Nifi and Tibco to extract, transform, and load data into various systems. •   Have hands-on experience with database structures, particularly MSSQL and Vertica, to optimize data storage and retrieval. •   Manage and maintain the operations of data platforms, ensuring data availability, reliability, and security. •   Collaborate with cross-functional teams to understand data requirements and design appropriate data solutions. •   Stay up-to-date with the latest industry trends and advancements in data engineering and suggest improvements to enhance our data infrastructure.

Requirements: •  A minimum of 6 years of relevant experience as a Data Engineer. •  Proficiency in ETL, SQL, and other advanced data engineering techniques. •   Strong programming skills in scripting languages such as Python. •   Experience in creating and maintaining data structures for efficient data storage and retrieval. •   Familiarity with cloud and big data technologies, specifically AWS and Azure stack. •   Hands-on experience with ETL tools, particularly Nifi and Tibco. •   In-depth knowledge of database structures, including MSSQL and Vertica. •   Proven experience in managing and operating data platforms. •   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. •   Self-motivated with a strong drive for learning and keeping up-to-date with the latest industry trends.

JOB TITLE - Product Development Engineer - Machine Learning
● Work Location: Hyderabad
● Full-time
 

Company Description

Phenom People is the leader in Talent Experience Marketing (TXM for short). We’re an early-stage startup on a mission to fundamentally transform how companies acquire talent. As a category creator, our goals are two-fold: to educate talent acquisition and HR leaders on the benefits of TXM and to help solve their recruiting pain points.
 

Job Responsibilities:

• Design and implement machine learning, information extraction, probabilistic matching algorithms and models
• Research and develop innovative, scalable and dynamic solutions to hard problems
• Work closely with Machine Learning Scientists (PhDs), ML engineers, data scientists and data engineers to address challenges head-on.
• Use the latest advances in NLP, data science and machine learning to enhance our products and create new experiences
• Scale machine learning algorithm that powers our platform to support our growing customer base and increasing data volume
• Be a valued contributor in shaping the future of our products and services
• You will be part of our Data Science & Algorithms team and collaborate with product management and other team members
• Be part of a fast pace, fun-focused, agile team

Job Requirement:

• 4+ years of industry experience
• Ph.D./MS/B.Tech in computer science, information systems, or similar technical field
• Strong mathematics, statistics, and data analytics
• Solid coding and engineering skills preferably in Machine Learning (not mandatory)
• Proficient in Java, Python, and Scala
• Industry experience building and productionizing end-to-end systems
• Knowledge of Information Extraction, NLP algorithms coupled with Deep Learning
• Experience with data processing and storage frameworks like Hadoop, Spark, Kafka etc.

Position Summary
We’re looking for a Machine Learning Engineer to join our team of Phenom. We are expecting the below points to full fill this role.

• Capable of building accurate machine learning models is the main goal of a machine learning engineer
• Linear Algebra, Applied Statistics and Probability
• Building Data Models
• Strong knowledge of NLP
• Good understanding of multithreaded and object-oriented software development
• Mathematics, Mathematics and Mathematics
• Collaborate with Data Engineers to prepare data models required for machine learning models
• Collaborate with other product team members to apply state-of-the-art Ai methods that include dialogue systems, natural language processing, information retrieval and recommendation systems
• Build large-scale software systems and numerical computation topics
• Use predictive analytics and data mining to solve complex problems and drive business decisions
• Should be able to design the accurate ML end-to-end architecture including the data flows, algorithm scalability, and applicability
• Tackle situations where problem is unknown and the Solution is unknown
• Solve analytical problems, and effectively communicate methodologies and results to the customers
• Adept at translating business needs into technical requirements and translating data into actionable insights
• Work closely with internal stakeholders such as business teams, product managers, engineering teams, and customer success teams.

Benefits

• Competitive salary for a startup
• Gain experience rapidly
• Work directly with the executive team
• Fast-paced work environment

About Phenom People

At PhenomPeople, we believe candidates (Job seekers) are consumers. That’s why we’re bringing e-commerce experience to the job search, with a view to convert candidates into applicants. The Intelligent Career Site™ platform delivers the most relevant and personalized job search yet, with a career site optimized for mobile and desktop interfaces designed to integrate with any ATS, tailored content selection like Glassdoor reviews, YouTube videos and LinkedIn connections based on candidate search habits and an integrated real-time recruiting analytics dashboard.

 Use Company career sites to reach candidates and encourage them to convert. The Intelligent Career Site™ offers a single platform to serve candidates a modern e-commerce experience from anywhere on the globe and on any device.

 We track every visitor that comes to the Company career site. Through fingerprinting technology, candidates are tracked from the first visit and served jobs and content based on their location, click-stream, behavior on site, browser and device to give each visitor the most relevant experience.

 Like consumers, candidates research companies and read reviews before they apply for a job. Through our understanding of the candidate journey, we are able to personalize their experience and deliver relevant content from sources such as corporate career sites, Glassdoor, YouTube and LinkedIn.

 We give you clear visibility into the Company's candidate pipeline. By tracking up to 450 data points, we build profiles for every career site visitor based on their site visit behavior, social footprint and any other relevant data available on the open web.

 Gain a better understanding of Company’s recruiting spending and where candidates convert or drop off from Company’s career site. The real-time analytics dashboard offers companies actionable insights on optimizing source spending and the candidate experience.

Kindly explore about the company phenom (https://www.phenom.com/">https://www.phenom.com/)
Youtube - https://www.youtube.com/c/PhenomPeople">https://www.youtube.com/c/PhenomPeople
LinkedIn - https://www.linkedin.com/company/phenompeople/">https://www.linkedin.com/company/phenompeople/

https://www.phenom.com/">Phenom | Talent Experience Management

• Responsible for producing documents as per client instructions on MS Office / Creative platform
• Excellent PowerPoint skills including animation / transition effects
• Interact with clients to clarify doubts and provide suggestions on layouts, designs
• To be involved in all training program organized by Williams Lea part of orientation, induction and performance
• Works closely with Document Production Lead / Quality Assurance Specialist on a daily basis