3+ Batch processing Jobs in India

Profile – Senior Production Manager

Company: Fast-growing Indian retail sweet and snacks brand

Location: Lawrence Road Industrial Area, Delhi

Work Mode: Work From Office (Factory-Based)

Experience: 15+ years of hands-on factory floor experience

Industry Experience: Minimum 5+ years in Namkeens / Snacks / Indian Food Manufacturing

Work Schedule: 6 days a week

It is a fast-growing Indian retail sweet and snacks brand focused on nostalgic, homemade-style products with a strong emphasis on clean labelling, healthier alternatives, and authentic storytelling.

Our long-term vision is ambitious, to build a brand that achieves what traditional legacy brands accomplished over decades, but at a much faster pace.

• Role Overview
• The Senior Production Manager will lead and manage end-to-end manufacturing operations at the factory.
• This is a hands-on, factory-floor leadership role requiring deep experience in namkeens and snack production.
• The role will be critical in ensuring production efficiency, quality consistency, hygiene standards, and scalability as the business grows.
• The individual will work closely with founders, quality, supply chain, and operations teams to build robust production systems without compromising on taste, safety, or clean-label commitments.
•   Key Responsibilities
• Oversee daily production planning and execution to meet volume, quality, and cost targets.
• Manage factory-floor operations, workforce planning, and shift management.
• Ensure inventory is readily available, both raw material & packaging material
• Ensure adherence to food safety, hygiene, and regulatory compliance standards.
• Optimize production processes to reduce wastage, improve yield, and enhance efficiency.
• Drive continuous improvement initiatives across manufacturing operations.
• Ensure consistency in taste, texture, and quality across batches, especially for namkeens and snack products.
• Collaborate with procurement and supply chain teams to ensure raw material availability and cost efficiency.
• Train, mentor, and manage production staff, supervisors, and line managers.
• Build and sustain a strong, performance-driven factory culture.

 Desired Skills & Qualifications

• Minimum 15 years of experience working on the factory floor 
• At least 5 years of specialized experience in namkeens, snacks, or similar Indian food categories.
• Strong hands-on knowledge of production processes, machinery, hygiene standards, and food safety regulations.
• Proven experience in scaling production for growing brands and improving operational efficiency.
• Ability to manage large factory teams and solve real-time production challenges.
• Practical, execution-focused leadership style with strong on-ground presence.
• Degree in Food Technology, Food Processing, or equivalent

Why Join Us

• Be part of building a ₹1000 Cr consumer brand from the ground up
• Opportunity to work closely with founders and leadership
• Long-term wealth creation through ESOP participation
• High ownership, high impact role in a fast-scaling organization
• 
  

🎯 Ideal Candidate Profile:

This role requires a seasoned engineer/scientist with a strong academic background from a premier institution and significant hands-on experience in deep learning (specifically image processing) within a hardware or product manufacturing environment.

📋 Must-Have Requirements:

Experience & Education Combinations:

Candidates must meet one of the following criteria:

• Doctorate (PhD) + 2 years of related work experience
• Master's Degree + 5 years of related work experience
• Bachelor's Degree + 7 years of related work experience

Technical Skills:

• Minimum 5 years of hands-on experience in all of the following:
• Python
• Deep Learning (DL)
• Machine Learning (ML)
• Algorithm Development
• Image Processing
• 3.5 to 4 years of strong proficiency with PyTorch OR TensorFlow / Keras.

Industry & Institute:

• Education: Must be from a premier institute (IIT, IISC, IIIT, NIT, BITS) or a recognized regional tier 1 college.
• Industry: Current or past experience in a Product, Semiconductor, or Hardware Manufacturing company is mandatory.
• Preference: Candidates from engineering product companies are strongly preferred.

ℹ️ Additional Role Details:

• Interview Process: 3 technical rounds followed by 1 HR round.
• Work Model: Hybrid (requiring 3 days per week in the office).

Based on the job description you provided, here is a detailed breakdown of the Required Skills and Qualifications for this AI/ML/LLM role, formatted for clarity.

📝 Required Skills and Competencies:

💻 Programming & ML Prototyping:

• Strong Proficiency: Python, Data Structures, and Algorithms.
• Hands-on Experience: NumPy, Pandas, Scikit-learn (for ML prototyping).

🤖 Machine Learning Frameworks:

• Core Concepts: Solid understanding of:
• Supervised/Unsupervised Learning
• Regularization
• Feature Engineering
• Model Selection
• Cross-Validation
• Ensemble Methods: Experience with models like XGBoost and LightGBM.

🧠 Deep Learning Techniques:

• Frameworks: Proficiency with PyTorch OR TensorFlow / Keras.
• Architectures: Knowledge of:
• Convolutional Neural Networks (CNNs)
• Recurrent Neural Networks (RNNs)
• Long Short-Term Memory networks (LSTMs)
• Transformers
• Attention Mechanisms
• Optimization: Familiarity with optimization techniques (e.g., Adam, SGD), Dropout, and Batch Normalization.

💬 LLMs & RAG (Retrieval-Augmented Generation):

• Hugging Face: Experience with the Transformers library (tokenizers, embeddings, model fine-tuning).
• Vector Databases: Familiarity with Milvus, FAISS, Pinecone, or ElasticSearch.
• Advanced Techniques: Proficiency in:
• Prompt Engineering
• Function/Tool Calling
• JSON Schema Outputs

🛠️ Data & Tools:

• Data Management: SQL fundamentals; exposure to data wrangling and pipelines.
• Tools: Experience with Git/GitHub, Jupyter, and basic Docker.

🎓 Minimum Qualifications (Experience & Education Combinations):

Candidates must have experience building AI systems/solutions with Machine Learning, Deep Learning, and LLMs, meeting one of the following criteria:

• Doctorate (Academic) Degree + 2 years of related work experience.
• Master's Level Degree + 5 years of related work experience.
• Bachelor's Level Degree + 7 years of related work experience.

⭐ Preferred Traits and Mindset:

• Academic Foundation: Solid academic background with strong applied ML/DL exposure.
• Curiosity: Eagerness to learn cutting-edge AI and willingness to experiment.
• Communication: Clear communicator who can explain ML/LLM trade-offs simply.
• Ownership: Strong problem-solving and ownership mindset.