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Nature of Experience: exposure to any of the sections in production i.e. Core Coil Assembly,

Separate Phase Assembly, Winding, VPD Ovening, Tanking

Responsibilities:

 Completion of shop floor loading & monitor closely productivity of workers.

 Ensure completion of daily production targets adhering to defined standards of cost, quality

and time

 Attend productivity meetings to discuss the discrepancies in the planned vs actual plan.

 Preparation of productivity reports based on throughput & timeliness for presenting the same

in productivity meetings.

 Undertake Production Planning and Control activities ensuring adherence to production

targets in terms of cost, quality, throughput & timeliness Coordinate with the technical

design (electrical and mechanical) function for a design review before the start of every work

order and for clarifications on design parameters during production

 Ensure material requisitions are raised on time to obtain the material from the stores team

 Ensure the adherence of the workers to the shift schedule.

 Drive discipline on the shop floor and maintain healthy industrial relations in coordination

with the HR function

 Drive a culture of continuous improvement in section of the production process

 Ensure appropriate training is been given to the winding team by conducting various training

sessions.

 Ensure all the documentation & statutory compliances are fulfilled in timely manner to

facilitate completion of all the audits.

 Identify production bottlenecks and ensure elimination of the same in coordination with the

engineering function

 Drive cost savings through cost effective utilization of resources, process improvements and

reduction in operational expenses / overheads

 Ensure all production related documentations / records are maintained and updated through

SAP

 Ensure compliance to SOP’s ,process flows and production protocol to ensure minimum

deviation from specifications

Product Range –

• Power Transformers up to 200 MVA and 400 kV

• Generator Transformers

• Unit Auxiliary Transformers

• Special Application Transformers

Role: Production

Locations: Airoli

Qualification: Diploma/Degree in engineering

Years of Experience: 2 to 12 years

Work hours: shift working involved

Nature of Experience: exposure to any of the sections in production i.e. Core Coil Assembly, Separate Phase Assembly, Winding, VPD Ovening, Tanking

Responsibilities:

·        Completion of shop floor loading & monitor closely productivity of workers.

• Ensure completion of daily production targets adhering to defined standards of cost, quality and time
• Attend productivity meetings to discuss the discrepancies in the planned vs actual plan.
• Preparation of productivity reports based on throughput & timeliness for presenting the same in productivity meetings.
• Undertake Production Planning and Control activities ensuring adherence to production targets in terms of cost, quality, throughput & timeliness Coordinate with the technical design (electrical and mechanical) function for a design review before the start of every work order and for clarifications on design parameters during production 
• Ensure material requisitions are raised on time to obtain the material from the stores team
•  Ensure the adherence of the workers to the shift schedule.
• Drive discipline on the shop floor and maintain healthy industrial relations in coordination with the HR function
• Drive a culture of continuous improvement in section of the production process
• Ensure appropriate training is been given to the winding team by conducting various training sessions.
• Ensure all the documentation & statutory compliances are fulfilled in timely manner to facilitate completion of all the audits.
• Identify production bottlenecks and ensure elimination of the same in coordination with the engineering function
• Drive cost savings through cost effective utilization of resources, process improvements and reduction in operational expenses / overheads
• Ensure all production related documentations / records are maintained and updated through SAP
• Ensure compliance to SOP’s ,process flows and production protocol to ensure minimum deviation from specifications

About us:

Pi - India’s 1st SuperMoney App, is an AI-native Fintech startup building ML platforms for financial advisory and wealth management. Founded by a former Investment Banker (IIT/IIM/ CFA®) with over a decade of experience.

We are looking for Machine Learning Engineers who are passionate about developing world-class ML platforms. You will be part of the Core Founding team that lays the foundation for a Unicorn journey. You'll join a visionary, funded startup on the ground floor and get to build it up one conversation at a time.

Qualifications:

• Overall experience of 4 to 7 years in ML
• B.Tech/BE from top-tier colleges (IIT, NIT, IIIT)

Requirements:

• Applied GenAI expertise in implementing cutting-edge LLMs and diverse generative models, specializing in transformers and GPT models.
• Demonstrated proficiency across various modalities, showcasing a dynamic skill set for innovative solutions.
• Expertise in Natural Language Processing (NLP), with a comprehensive understanding of the entire stack involved in designing, training, evaluating, and deploying machine learning models, particularly large language models.
• Deep understanding of the entire stack when it comes to designing, training, evaluating, and deploying ML models. Successfully collected a new giant dataset and played a critical role in shipping a new ML product that required custom components.
• Extensive experience in designing and building intelligent agents, leveraging AI techniques to create autonomous and adaptive systems for various applications.
• Proficient in writing distributed ML infrastructure, debugging and fixing hard-to-find bugs in ML models, and owning production-grade projects from start to finish.
• Experience with Deep learning frameworks such as PyTorch, TensorFlow. , Jax, and Keras.
• Proficient in writing GPU kernels using CUDA .
• Experience with AWS SageMaker and the AWS Machine Learning suite of tools.
• Developed novel techniques for ML model measurement and mitigation.
• Proficient in Apache Kafka for seamless data streaming, Apache Spark for large-scale batch processing, and Apache Airflow for efficient orchestration.
• Demonstrated expertise in Kubernetes-based workflows, specifically Kubeflow, for scalable and portable machine learning and data processing deployments, enhancing pipeline reliability and performance.
• Experience with MongoDB, MySQL, and Vector databases.
• Experience with analytics.
• Proficient in Kubernetes, Python, Github, Huggingface, R(for Analytics)
• Experience in mentoring and growing engineers.

Additional Benefits:

Competitive compensation along with ESOPs of a path-breaking Fintech startup