Data Scientist

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. 

Data - AI / ML Engineer 

Full-Time   |   On-site, Kolkata   |   Immediate Joining   |   4+ years experience

ABOUT US 

Company Name: Freeflow ventures

We are a venture building and investment firm focused on emerging markets across India, the Middle East, and Africa. We work with early-stage startups -diagnosing gaps, structuring interventions, and preparing them for investor-readiness through a proprietary data and intelligence platform.

Our platform combines automated data verification, startup scoring, and structured workflow automation to bring consistency and credibility to early-stage investment decisions. We are at an active build and expansion phase, and this role sits at the core of that infrastructure.

ROLE OVERVIEW

We are looking for a Data - AI / ML Engineer who can own both the data pipelines that bring verified information into our platform and the intelligence models that turn that information into reliable startup scores.

This is a dual-responsibility role. You will be expected to build and maintain robust data infrastructure as well as develop, calibrate, and improve machine learning models. Both are equally important to the platform.

You will work closely with the Platform Owner and alongside a Backend Engineer who owns system integrations and workflow logic. Your work produces the scored intelligence output. The Backend Engineer's work connects that output to platform actions. The two roles are tightly interdependent and require close daily collaboration, especially in the first 30 days.

Note: You are the first technical hire on the platform team. The Backend Engineer joins the same week. Clear communication, well-defined handoff points, and shared documentation between the two of you are non-negotiable from Day 1.

WHAT YOU WILL DO

Data Pipeline

• Build and maintain pipelines that collect, clean, and normalize data from multiple external sources into a consistent, usable format
• Design connector architecture that allows individual data sources to be added, swapped, or removed without rebuilding the entire pipeline
• Implement automated data quality checks that catch bad data before it reaches the scoring layer -anomaly detection, constraint enforcement, and schema validation
• Build an automated eligibility screening system that verifies whether a startup has sufficient verified data before assessment begins
• Ensure the pipeline is resilient -critical data signals must have backup sources so a single vendor failure does not disrupt platform output
• Structure data storage to support different regulatory requirements across multiple countries -data from different regions must be handled according to the rules of that region

AI and Machine Learning

• Audit the existing scoring engine before making any changes -understand what it does, how it was built, and what would be lost if it were modified
• Calibrate scoring models against real portfolio data so that scores are meaningful, consistent, and comparable across different startup types and stages
• Build confidence scoring logic that determines when the system is certain enough to act autonomously and when it should route to human review
• Ensure every model output is explainable -investors must be able to see exactly which data points drove a score, not just the final number
• Build a feedback loop so that real-world outcomes feed back into the model over time, making it progressively more accurate
• Maintain a structured data store of assessment outputs and outcomes that the model uses to improve

Working With the Backend Engineer

• Define a clear data contract at the handoff point -what data you produce, in what format, and what the Backend Engineer can expect to receive
• Collaborate on trigger logic -what score thresholds or confidence drops should fire what system actions
• Align on data schema requirements so that the APIs the Backend Engineer builds conform to the structure your pipeline produces
• Communicate blockers early -the pipeline and backend system are built simultaneously, so delays on one side directly affect the other
• Document everything you build so the Backend Engineer and Platform Owner can understand, debug, and extend it without depending on you for every question

WHAT WE ARE LOOKING FOR

Skills are divided into two categories. Must Have means the role cannot function without it. Good to Have means it gives you an edge.

Skill

Priority

Data Engineering

Building and maintaining data pipelines from multiple sources

Must Have

Data normalization and schema design

Must Have

Automated data quality validation

Must Have

API integration across different source types

Must Have

Pipeline orchestration and scheduling

Must Have

Cloud infrastructure -storage, compute, and deployment

Must Have

Version control and code documentation

Must Have

AI and Machine Learning

Building and calibrating supervised machine learning models

Must Have

Model explainability -making model outputs traceable and interpretable

Must Have

Confidence scoring and threshold calibration

Must Have

Experiment tracking and model versioning

Must Have

Building feedback loops that improve models over time using real-world outcomes

Must Have

Natural language processing or document understanding

Good to Have

Vector databases and semantic search

Good to Have

Collaboration and Context

Ability to define clear data contracts and handoff points with backend engineers

Must Have

Clear written documentation of pipeline logic, model decisions, and failure modes

Must Have

Prior experience working in or with early-stage startups

Good to Have

Exposure to financial data, investment platforms, or data verification systems

Good to Have

WHAT WE OFFER

• Competitive compensation based on experience -discussed during the interview process
• Ownership of both the data and intelligence layers from Day 1 -this is not a support or maintenance role
• Direct access to the Platform Owner and Founder 
• Close collaboration with a Backend Engineer from Day 1 -the two roles are designed to work as a unit
• Work on a genuinely novel problem in an emerging market context
• On-site Kolkata with a small, high-accountability team
• Opportunity to scale the platform across multiple international markets

As a Frontend Tech Lead at Gocomet, you will play a critical role in shaping the user interface and experience of our products. You will work in a collaborative environment, driving the development of responsive, efficient, and visually appealing web applications. This is an opportunity to leverage your expertise in frontend development and contribute to our mission of creating exceptional user interfaces.

Roles and Responsibilities:

● Provide technical leadership.

● Enforce coding standards and quality.

● Architect scalable frontend solutions.

● Manage frontend project tasks.

● Mentor and train team members.

● Optimize performance and user experience.

● Stay current with emerging technologies.

● Maintain transparent communication.

● Work closely with Program Managers and Designers to create engineering plans including timeframes, milestones and quality, reliability and performance goals.

Experience & Skills:

● 4+ years of frontend development experience.

● Proficiency in HTML, CSS, JavaScript/Typescript, React, Redux, Nextjs.

● Strong knowledge of modern frontend frameworks.

● Leadership and mentoring capabilities.

● Problem-solving and debugging skills.

● Commitment to continuous learning.

Benefits of the role include:

● Collaborative and innovative work environment.

● Opportunities for professional growth and development.

● Cutting-edge technology stack and tools.

● Make a significant impact on our products and the user experience.

● Join a team of passionate, creative, and driven individuals.

● 5 Days working.

● Flexible Working Hours.

● Health medical insurance coverage with Family, etc.

Why GoComet?

GoComet is a dynamic SaaS start-up that provides AI-powered transportation visibility solutions to revolutionize the trillion-dollar logistics sector. At GoComet, we are revolutionizing the logistics sector one day at a time, and every team member is committed to making it a reality. We're seeking individuals who embody our core values, character, and attitude. While we recognize that skills can be developed with the right mindset and learnability, we prioritize those who share our philosophy. Our recruitment processes reflect this belief. Look no further if you're looking for a diverse, talented, and vibrant workplace that recognizes and rewards hard work. We're ambitious, fast-paced, and unafraid to experiment, fail, learn, and ultimately succeed. This is us! Join our team if you share our culture and values. We're an equal opportunity employer. We welcome qualified applicants from all races, colors, religions, sexes, nationalities, sexual orientations, gender identities, and abilities.

Know more about us: www.gocomet.com

https://www.youtube.com/watch?v=YxGt9ZCkaA8

https://youtu.be/jv9cAsgenSE

https://www.youtube.com/watch?v=Er0dHqxaaXc

https://youtu.be/0ql1eCVhiWA

• We are looking for a versatile, highly professional, disruptive, and focused individual who pays attention to detail and has an eye for quality delivery. The individual must have team collaboration skills and be an active listener and communicator; someone who'd come not just with problems but suggestive solutions.

•  Bachelors / Masters in Computer Science
•  Excellent communication and presentation skills
•  The candidate should also have knowledge of the industry and ability to work under pressure
•  An indefatigable person with high self-esteem and perspicacious nature is that kind of person
•  who will thrive in this role

• Must have worked in an environment where they know when to perform what kind of testing; say smoke, regression, integration, sanity
• Must have test plan, strategy, cases development experience.
• Knowledge on Android/iOS app testing (usage of Debugging tools relevant is added bonus)
• Must know to prioritize work items based on the business need
• Knows how to handle tough timelines situations and not compromise quality.
• Must have experience in product management methodology such as agilenon-process oriented environment
• Should have experience in any of the ALM tools such as TFS JIRA or even be open to build application reporting structure in excel.
• Analyzing the requirements from clients
• Analyzing and executing Test Cases
• Run Re-Tests and Regression Tests.
• Develop & Run Release Tests

• Key Result Areas

1. End to end ownership in the consumer facing B2C tech team and deliver solutions to solve business problems.

1. Advanced Javascript, CSS, HTML 5, D/XHTML, XML, JSON, DOM Concepts

1. Must have worked on a SPA framework: ReactJS, Node JS, AngularJS or InfernoJS

1. Own the development methodology. Align with the executive team to improve the development process, prioritize projects and manage multiple work streams

1. Extensive Work with open-source technologies and built services architecture as this will prove to be an invaluable asset in building solutions.

1. Lead a team of Software Developers, Server Engineers and QA Engineers, establishing development practices and standards

1. Extensive skill on React JS, Node JS

1. Experience on various PHP frameworks like Cakephp, Laravel, CI etc would be plus

1. Work with scrum teams and product managers using agile methodologies to deliver high quality solutions on time
2. Jumping on a call with clients to understand the requirement and profile them the right solution, helping formulate an effective solution and turning it into a working application
3. Conducting website performance and unit tests
4. Heavy involvement in the requirements gathering, development and operational stages of new projects
5. Troubleshoot and debug related application defects with existing and new applications
6. Work collaboratively with the frontend team and other team members, train other members and get trained if required

Datametica is looking for talented SQL engineers who would get training & the opportunity to work on Cloud and Big Data Analytics.

Mandatory Skills:

• Strong in SQL development
• Hands-on at least one scripting language - preferably shell scripting
• Development experience in Data warehouse projects

Opportunities:

• Selected candidates will be provided training opportunities on one or more of the following: Google Cloud, AWS, DevOps Tools, Big Data technologies like Hadoop, Pig, Hive, Spark, Sqoop, Flume, and KafkaWould get a chance to be part of the enterprise-grade implementation of Cloud and Big Data systems
• Will play an active role in setting up the Modern data platform based on Cloud and Big Data
• Would be part of teams with rich experience in various aspects of distributed systems and computing

Qualifications:

• Bachelor’s degree in management, finance or computer sciences or equivalent experience
• 6+ years of IT management experience, preferably within the small and medium business market.
• 8+ year in Software/SAAS business
• Project management experience preferred

Responsibilities:

• Setting a vision for how technology will be used in the company.
• Product lifecycle from architecture perspective
• Ensuring that the technological resources meet the company's short and long-term needs.
• Creating timelines for the development and deployment of all technological services
• Making executive decisions on behalf of the company's technological requirements
• Acting as a mentor to team members
• Maintaining a consumer-focused outlook and aiding in the delivering of IT projects to market
• Staying on top of technology trends and developments
• Powerful coder with an expertise in PhP, Laravel, Javascript, Architecture Design, Database Design and having agile mindset
• Must have strong knowledge in AWS infrastructure

Desired Skills:

• Communication
• Planning & Execution
• Problem Solving
• Project Management 
• Quality Management
• Knowledge of deployment tasks such as on site deliveries, installation, acceptance
• Risk assessment 
• Decision Making
• Customer focus

As technical lead, you will be responsible for complete product development including 

1. Identification of technology
2. Shaping engineering practices
3. Hiring engineering team
4. Shaping up the product