Company Description Siddharth Carbochem Products Limited (SCPL) is the largest manufacturer of Methyl Salicylate & Salicylic Acid derivatives in India, with over 30 years of experience. SCPL offers a broad range of salicylates in various grades used in Pharmaceuticals, Food, Beverage, Flavour & Fragrance, Tobacco, Cosmetics, Homecare, and Personal Care industries. The company is committed to innovation, customer satisfaction, and quality products to become a top-class supplier globally. Role Description This is a full-time on-site Human Resources Intern role located in Mumbai at Siddharth Carbochem Products Limited. The intern will be involved in HR Management, implementing HR policies, managing employee benefits, and overseeing personnel management tasks on a day-to-day basis. Qualifications Human Resources (HR) and HR Management skills Knowledge of HR Policies and Employee Benefits Experience in Personnel Management Excellent communication and interpersonal skills Ability to maintain confidentiality and handle sensitive information Bachelor's degree in Human Resources, Business Administration, or related field Show more Show less
Company Description Siddharth Carbochem Products Limited (SCPL) has been in business for over 30 years and is the largest manufacturer of Methyl Salicylate and Salicylic Acid derivatives in India. Our products are used extensively in pharmaceuticals, food, beverages, flavor and fragrance, tobacco, cosmetics, homecare, and personal care. We are recognized as a reliable supplier of quality products with a strong track record of customer satisfaction and continuous product improvement. Our commitment to using new technology positively impacts people's lives, making us a top-class supplier and preferred service provider worldwide. Role Description Join the founding seat at a fast‑growing specialty‑chemicals venture. You’ll work directly with the U.S. CEO—no middle layers—owning research, light ops, and the “make‑it‑happen” tasks that free leadership to move faster. If you love figuring things out, writing clearly, and owning outcomes, this is your springboard role. What You’ll Drive Project momentum – chase next steps with suppliers, labs, financiers, and service partners so nothing stalls overnight. Tight execution loops – run status boards, set micro‑deadlines, and nudge stakeholders until deliverables close. Rapid research & mini‑analysis – pricing checks, regulation digests, competitive snapshots, procurement specs, all distilled into crisp one‑pagers. Early‑warning radar – spot brewing issues and propose fixes before they hit the inbox. Meeting prep & follow‑through – draft agendas, capture decisions in real time, and send action summaries. Schedule & Collaboration Minimum 3 hours of live overlap with U.S. Central Time (Mon–Fri). Prefer full U.S. coverage? Opt‑in for a U.S‑hours bonus to mirror the business day. Outside those overlap hours, work is fully async and results‑oriented. You’ll Thrive If You Have 5+ years in a startup, consulting, operations, or founder‑support role or demonstrate equivalent experience that shows you can own this seat. Hit your stride when given a problem and permission to run with it. Write concise, error‑free English and feel at ease on video calls with U.S. counterparts. Manage your calendar across time zones with ease. Bonus: Curiosity about manufacturing or sustainability. What We Promise Competitive salary plus optional U.S‑hours bonus. Fully remote setup or if you want you can work out of our headquarters in Mumbai. Direct exposure to the decision‑making layer where your work is visible and meaningful. A clear path to broaden into operations or product as we scale. Interested? Send your résumé or LinkedIn profile plus a short note (≤ 200 words) describing a problem you solved unprompted. Note that this should be written in your own words, as we’ll screen for AI‑generated text. Short‑listed candidates will complete a mini‑task/interview.
Company Description Siddharth Carbochem Products Limited (SCPL) has been in business for over 30 years and is the largest manufacturer of Methyl Salicylate & Salicylic Acid derivatives in India. SCPL is a reliable supplier of quality products used extensively in pharmaceuticals, food, beverage, flavor & fragrance, tobacco, cosmetics, homecare, and personal care industries. The company is known for its commitment to customer satisfaction, technical support, and continuous product improvement. With a focus on practical innovation and excellence, SCPL aims to be a top-class supplier and preferred service provider worldwide. Role Description This is a full-time, on-site role for a Cost Accountant, located in Mumbai. The Cost Accountant will be responsible for analyzing financial data, preparing cost reports, budgeting, monitoring expenditures, and assisting in financial decision-making processes. The role requires maintaining accurate financial records, performing cost-benefit analysis, and ensuring cost control measures are in place. The Cost Accountant will also collaborate with other departments to streamline cost accounting procedures and provide financial insights for strategic planning. Qualifications Proficient in financial analysis, budgeting, and cost reporting Experience with cost-benefit analysis and cost control measures Excellent record-keeping and financial data management skills Strong understanding of accounting principles and financial regulations Proficiency in accounting software and Microsoft Excel Strong analytical and problem-solving skills Excellent verbal and written communication skills A bachelor's degree in Accounting, Finance, or a related field Professional certification (e.g., CMA, CPA) is a plus Experience in the chemical or manufacturing industry is preferred
Cuffe Parade - Salary upto 25k 6 days working The ideal candidate will be comfortable meeting new people frequently and have an ability to determine a candidate's potential through clever questions. They should have excellent organizational skills in order to build and maintain a pipeline of prospective candidates. Additionally, they should be committed to both meeting and exceeding assigned quotas. Responsibilities Maintain and develop pipeline of eligible candidates for future open positions Conduct interviews via phone or in-person Qualify or reject candidates based on interview feedback and resume reviews Serve as contact person for questions from candidates Meet weekly quotas related to calls and emails Qualifications Bachelor's degree Effective communication skills Strong organizational and interpersonal skills Experience working with Microsoft Office suite High-energy and passion Demonstrated ability to meet quotas
Founding Applied Research Scientist (PhD) — Industrial Intelligence Platform Location: Mumbai (preferable) | Type: Full-time | WHO THIS IS FOR PhD (or final-year PhD) in AI/ML/CS (or related) who wants their work running on real production lines. You care about solid theory, and you care even more about measurable impact on uptime, yield, and energy. WHY THIS ROLE • Own the 0→1 research agenda for edge inference, time-series modeling, and control—and see it in production quickly • Work directly with founders and pilot customers across chemicals, pharma, food, steel, and energy • Early equity with real upside, plus the autonomy to choose methods and tooling to hit performance targets WHAT YOU’LL DO • Take ideas from paper to plant: ingest → features → inference → control loop → monitoring/rollback • Design models for non-stationary, multivariate sensor data; quantify uncertainty and detect drift • Optimize for edge and latency (quantization, distillation, pruning, ONNX/TensorRT, streaming inference) • Define datasets, metrics, and SLOs; build evaluation harnesses and ablations that stick • Partner with controls/process engineers to integrate models with existing systems WHAT WE’RE LOOKING FOR • PhD in AI/ML/CS (or closely related); strong publications or equivalent applied work • Depth in one or more: time-series/state-space models, anomaly detection, predictive maintenance, Bayesian/UQ, RL/MPC for control, physics-informed ML • Solid software fundamentals: Python/C++, PyTorch/JAX, containers, CI/CD, observability • Experience with streaming systems and edge deployment is a plus (ONNX, TensorRT, gRPC) • Bonus: industrial protocols (OPC UA, Modbus, MQTT), MLOps, model compression/compilers WHAT YOU’LL GET • equity, competitive base, and performance incentives with a clear formula • Real ownership of a product area (edge inference and applied research roadmap) • Day-one production impact with access to pilot environments and decision-makers
As a Founding Applied Research Scientist with a PhD in AI/ML/CS or related field, you will play a crucial role in the Industrial Intelligence Platform based in Mumbai. Your focus will be on driving real impact on production lines by leveraging your expertise in AI/ML/CS. **Role Overview:** You will be responsible for owning the research agenda for edge inference, time-series modeling, and control, and ensuring its quick implementation in production. Working closely with founders and pilot customers in various industries, you will have the autonomy to choose methods and tools to achieve performance targets. **Key Responsibilities:** - Take ideas from paper to plant by managing features, inference, control loop, and monitoring/rollback processes - Design models for non-stationary, multivariate sensor data, quantify uncertainty, and detect drift - Optimize for edge and latency using techniques such as quantization, distillation, pruning, ONNX/TensorRT, and streaming inference - Define datasets, metrics, and SLOs, and build evaluation harnesses and ablations to ensure effectiveness - Collaborate with controls/process engineers to integrate models with existing systems **Qualifications Required:** - PhD in AI/ML/CS or closely related field with a strong publication record or equivalent applied work - Proficiency in time-series/state-space models, anomaly detection, predictive maintenance, Bayesian/UQ, RL/MPC for control, and physics-informed ML - Strong software fundamentals in Python/C++, PyTorch/JAX, containers, CI/CD, and observability - Experience with streaming systems and edge deployment, with knowledge of ONNX, TensorRT, and gRPC being advantageous - Bonus skills include familiarity with industrial protocols (OPC UA, Modbus, MQTT), MLOps, and model compression/compilers In this role, you can expect equity, a competitive base salary, and performance incentives with a clear formula. You will have real ownership of the product area related to edge inference and the applied research roadmap, enabling you to make a day-one production impact and collaborate with decision-makers.,
Founding Applied Research Scientist (PhD) Industrial Intelligence Platform Location: Mumbai (preferable) | Type: Full-time | WHO THIS IS FOR PhD (or final-year PhD) in AI/ML/CS (or related) who wants their work running on real production lines. You care about solid theory, and you care even more about measurable impact on uptime, yield, and energy. WHY THIS ROLE Own the 0?1 research agenda for edge inference, time-series modeling, and controland see it in production quickly Work directly with founders and pilot customers across chemicals, pharma, food, steel, and energy Early equity with real upside, plus the autonomy to choose methods and tooling to hit performance targets WHAT YOU'LL DO Take ideas from paper to plant: ingest ? features ? inference ? control loop ? monitoring/rollback Design models for non-stationary, multivariate sensor data; quantify uncertainty and detect drift Optimize for edge and latency (quantization, distillation, pruning, ONNX/TensorRT, streaming inference) Define datasets, metrics, and SLOs; build evaluation harnesses and ablations that stick Partner with controls/process engineers to integrate models with existing systems WHAT WE'RE LOOKING FOR PhD in AI/ML/CS (or closely related); strong publications or equivalent applied work Depth in one or more: time-series/state-space models, anomaly detection, predictive maintenance, Bayesian/UQ, RL/MPC for control, physics-informed ML Solid software fundamentals: Python/C++, PyTorch/JAX, containers, CI/CD, observability Experience with streaming systems and edge deployment is a plus (ONNX, TensorRT, gRPC) Bonus: industrial protocols (OPC UA, Modbus, MQTT), MLOps, model compression/compilers WHAT YOU'LL GET equity, competitive base, and performance incentives with a clear formula Real ownership of a product area (edge inference and applied research roadmap) Day-one production impact with access to pilot environments and decision-makers