Business Developer

Review Criteria

• Strong Senior Data Scientist (AI/ML/GenAI) Profile
• 5+ years of experience in designing, developing, and deploying Machine Learning / Deep Learning (ML/DL) systems in production
• Must have strong hands-on experience in Python and deep learning frameworks such as PyTorch, TensorFlow, or JAX.
• 1+ years of experience in fine-tuning Large Language Models (LLMs) using techniques like LoRA/QLoRA, and building RAG (Retrieval-Augmented Generation) pipelines.
• Must have experience with MLOps and production-grade systems including Docker, Kubernetes, Spark, model registries, and CI/CD workflows

Preferred

• Prior experience in open-source GenAI contributions, applied LLM/GenAI research, or large-scale production AI systems
• Preferred (Education) – B.S./M.S./Ph.D. in Computer Science, Data Science, Machine Learning, or a related field.

Job Specific Criteria

• CV Attachment is mandatory
• Which is your preferred job location (Mumbai / Bengaluru / Hyderabad / Gurgaon)?
• Are you okay with 3 Days WFO?
• Virtual Interview requires video to be on, are you okay with it?

Role & Responsibilities

Company is hiring a Senior Data Scientist with strong expertise in AI, machine learning engineering (MLE), and generative AI. You will play a leading role in designing, deploying, and scaling production-grade ML systems — including large language model (LLM)-based pipelines, AI copilots, and agentic workflows. This role is ideal for someone who thrives on balancing cutting-edge research with production rigor and loves mentoring while building impact-first AI applications.

Responsibilities:

• Own the full ML lifecycle: model design, training, evaluation, deployment
• Design production-ready ML pipelines with CI/CD, testing, monitoring, and drift detection
• Fine-tune LLMs and implement retrieval-augmented generation (RAG) pipelines
• Build agentic workflows for reasoning, planning, and decision-making
• Develop both real-time and batch inference systems using Docker, Kubernetes, and Spark
• Leverage state-of-the-art architectures: transformers, diffusion models, RLHF, and multimodal pipelines
• Collaborate with product and engineering teams to integrate AI models into business applications
• Mentor junior team members and promote MLOps, scalable architecture, and responsible AI best practices

Ideal Candidate

• 5+ years of experience in designing, deploying, and scaling ML/DL systems in production
• Proficient in Python and deep learning frameworks such as PyTorch, TensorFlow, or JAX
• Experience with LLM fine-tuning, LoRA/QLoRA, vector search (Weaviate/PGVector), and RAG pipelines
• Familiarity with agent-based development (e.g., ReAct agents, function-calling, orchestration)
• Solid understanding of MLOps: Docker, Kubernetes, Spark, model registries, and deployment workflows
• Strong software engineering background with experience in testing, version control, and APIs
• Proven ability to balance innovation with scalable deployment
• B.S./M.S./Ph.D. in Computer Science, Data Science, or a related field
• Bonus: Open-source contributions, GenAI research, or applied systems at scale

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 Title: Plant Head – Solapur Manufacturing Facility

Location: Solapur, Maharashtra

Department: Operations / Manufacturing

Reporting To: Operations Head

Education: B.E. / B.Tech in Mechanical/Electrical/Production or related field; MBA/PGDM preferred.

Experience: 11–15 years, with at least 5 years in a senior leadership role in plant/factory operations.

Brief Job Description:

The Plant Head will be responsible for leading end-to-end factory operations at Thermax’s Solapur plant, with a focus on achieving operational efficiency , Monthly outputs , ensuring statutory and regulatory compliance, fostering a culture of safety and quality, and driving continuous improvement.

The role demands strong leadership in production, maintenance, HR/ER, supply chain coordination, quality assurance, and administration.

Key Roles & Responsibilities: 

A. Plant Operations Management

• Oversee daily manufacturing activities to ensure Monthly outputs in line with the Business planning ,timely delivery, quality output, and cost control.
• Lead production planning, execution, stores & inventory management and monitoring in alignment with sales forecasts and customer orders.
• Ensure machine uptime, process reliability, and throughput maximization through effective maintenance coordination.

B. Administration & Compliance 

• Implement company policies, SOPs, and statutory rules across all functional areas.
• Handle factory licensing, labor laws, EHS regulations, and other government compliances.
• Conduct periodic audits (internal & external) for process and statutory adherence.

C. Industrial Relations & Workforce Management

• Lead harmonious industrial relations (IR) with union and non-union workforce.
• Address grievances, disciplinary matters, and ensure workforce motivation and productivity.
• Coordinate with HR for recruitment, training, performance evaluation, and legal compliance.

D. Health, Safety & Environment (HSE) 

• Drive a zero-accident culture; ensure compliance with ISO 14001, ISO 45001, and safety norms.
• Conduct safety drills, toolbox talks, and enforce use of PPE and safe work practices.

E. Continuous Improvement & Digitization 

• Drive lean initiatives, Kaizens, TQM, TCM, TPM, and 5S to improve productivity and efficiency.
• Support digitization of plant operations, asset tracking, energy monitoring, and data-driven decisions.

F. Stakeholder Coordination 

• Liaison with supply chain, sales, project management, quality, commercial and finance teams for smooth plant operations.
• Host customer visits, audits, and ensure factory readiness to meet client-specific requirements.

G. Asset & Inventory Management

• Manage assets, maintenance schedules, spares planning, and disposal as per company guidelines.
• Ensure accurate stock levels and efficient utilization of materials and consumables.
• Responsible for overall inventory management including raw materials, WIP, finished goods, consumables, and spares, ensuring optimal stock levels, minimum working capital, and alignment with production schedules.
• Should be able to operate ERP-based material control and support SCM in improving inventory turnover ratio

H. Reporting & Documentation

• Prepare and present daily/weekly/monthly MIS reports to management.
• Maintain accurate documentation of production, maintenance, safety incidents, and legal compliances.
•  

Desired Profile & Skills:

• Knowledge Areas: 
• Factory Act, Labour Laws, and Environmental Regulations
• ISO, TPM, TCM, TQM, Lean Manufacturing
• Budgeting, Cost Control, and CAPEX Planning
• Technical Skills: Knowledge of manufacturing and plant maintenance; Proficiency in MS Office, ERP/SAP, CMMS tools.
• Leadership Attributes: 
• Strong decision-making and problem-solving skills
• Excellent communication and interpersonal abilities
• Ability to build teams and drive performance
• Crisis management and conflict resolution capability

Requirements

• 3+ years work experience writing clean production code
• Well versed with maintaining infrastructure as code (Terraform, Cloudformation etc). High proficiency with Terraform / Terragrunt is absolutely critical
• Experience of setting CI/CD pipelines from scratch
• Experience with AWS(EC2, ECS, RDS, Elastic Cache etc), AWS lambda, Kubernetes, Docker, ServiceMesh
• Experience with ETL pipelines, Bigdata infra
• Understanding of common security issues

Roles / Responsibilities:

• Write terraform modules for deploying different component of infrastructure in AWS like Kubernetes, RDS, Prometheus, Grafana, Static Website
• Configure networking, autoscaling. continuous deployment, security and multiple environments
• Make sure the infrastructure is SOC2, ISO 27001 and HIPAA compliant
• Automate all the steps to provide a seamless experience to developers.

Please find the below JD:

Min 7+ yrs of IT Experience.

Min 7+yrs in SAP ABAP.

With good communication skills.

Skills :SAP ABAP ND ECC Exp

Hello,

We have a job opportunity for Product Designer

Company Name: Furniture Kraft International Pvt Ltd.

Brand Name : Metallika

Location: Mumbai

Job Type: Full-time

Qualification : Bachler's in Product design / Interior designing

Experience : 3+ years in Product Design / Interior designing

Salary : 40k - 50k

About Us:

FURNITURE KRAFT International Pvt Ltd is built on the strong philosophy of developing furniture that combines functionality with innovative design. Today we are an ISO 9001:14000 certified company manufacturing Metal beds, sofas and sofa-cum-beds, and specialized products for institutions of education, Hostel and healthcare. As we continue to expand our team, we are seeking a talented Candidate to contribute to our exciting projects and uphold our commitment to excellence.

Job description:

We are seeking a talented and creative Product Designer to join our dynamic team. As a Product Designer, you will be responsible for creating intuitive and visually appealing designs for our products, ensuring a seamless user experience. You will work closely with cross-functional teams, including product managers, engineers, to translate user needs and business requirements into innovative and user-friendly designs.

Roles & Responsibilities

1. Designing and coordinating with production on taking products from concept to reality.

2. Creating and expanding our catalogue of in-house products and development.

3. A keen understanding of furniture details – materiality, joinery, sizing etc.

4. Thorough research skills- trends in market, client/ project dealers requirement etc.

5. Vendor Research

6. Quality Check of the product.

7. Launching product and website listing

Skills :

1 AutoCAD – (Must)

2 Solidworks ( Good to have)

3 3D software, SketchUp, 3DS MAX etc.

4 Photoshop

• We use cutting edge technologies to build our products which means you get to be updated on the latest tech stack.
• You don’t need to have experience in any of our specific technologies;we are good at teaching our Engineers. Our diverse group of Engineers are a great team to work with and to learn.

• We deploy changes to production multiple times a day.
• Blameless culture and a continuous learning mindset

• Making a global platform with the scale of millions of users.
• Working directly with designers and PMs to make a world class test taking experience.
• Building a platform for companies and writing an ML based algorithm to match candidates and companies.
• Building an Ed-Tech product for the upskilling of candidates.

• Strong understanding of JS fundamentals and going deep into it coupled with experience in modern frameworks like ReactJs, Vuejs etc.
• The ideal person has worked with product teams in startups and taken features (or entire product modules) to production deployment which was then consumed by real users.
• Proficiency in building a highly scalable frontend.
• Ownership mindset- Taking end to end ownership of frontend initiatives and being part of the core team in driving the overall growth of the organisation in achieving its vision.