Lead Analyst, AI Engineer (Data Science)

Semiconductor Manufacturing Industry

Lead Analyst, AI Engineer (Data Science)

Peak Hire Solutions

Company

Home

Lead Analyst, AI Engineer (Data Science)

at Semiconductor Manufacturing Industry

Agency job

via Peak Hire Solutions

5 - 8 yrs

₹40L - ₹48L / yr

Chennai

Skills

Python

Machine Learning (ML)

Image Processing

Deep Learning

Algorithms

PyTorch

TensorFlow

Keras

Data Structures

NumPy

pandas

Scikit-Learn

Prototyping

XGBoost

Recurrent neural network (RNN)

Long short-term memory (LSTM)

Transformer

Mechanics

Adams Software

Normalization

Batch processing

Large Language Models (LLM)

Retrieval Augmented Generation (RAG)

Vector database

Huggingface

Elastic Search

Prompt engineering

JSON

SQL

Data wrangling

Git

GitHub

Docker

🎯 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.

🎯 Ideal Candidate Profile:

📋 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.

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Full Stack Developer - Averlon

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Supervising others. Deputising for a Lead and/or support them with tasks. Mentoring new joiners/interns and Masters students. Sharing knowledge and learnings with the team.

Required Skills and Experience

We are building a team of world class engineers in Jaipur / Pune, essentially we are looking for bright, talented engineers looking to work at the cutting edge of practical AI.

Acquired strong proven professional programming experience.
Strong command of Algorithms, Data structures, Design patterns, and Product Architectural Design.
Good understanding of DevOps, Cloud technologies, CI/CD, Serverless and Docker, preferable AWS
Proven track record and expert in one of the field - DevOps/Frontend/Backend
Excellent coding and debugging skills in any language with command on any one programming paradigm, preferred Javascript/Python/Go
Experience with at least one of the Database systems - RDBMS and NoSQL
Ability to document requirements and specifications.
A naturally inquisitive and problem-solving mindset.
Strong experience in using AGILE or SCRUM techniques to build quality software.
Advantage: experience in React js, AWS, Nodejs, Golang, Apache Spark, ETL tool, data integration system, certification in AWS, worked in a Product company and involved in making it from scratch, Good communication skills, open-source contributions, proven competitive coding pro

As well as doing great work we have created an award-winning, fun and exciting workplace that people love to be, we are looking for people to join us who share our values and are:

Open - Always up for new ideas and able to take and give feedback in a positive way.
Driven - sets high goals, doesn’t give up, and make sacrifices to ensure that their job gets done on time and meets/exceeds expectations.
Curious - Aware of new technologies and uses them to make new improvements in the Engineering ecosystem.
Smart - Innovative and thinks out of the box, in difficult situations finds a way to succeed no matter what
Responsible - takes ownership of tasks given and has a strong work ethic.

About Peak

Software Engineer

at Scaleswift

3 recruiters

Posted by Sumit Sinha

Hyderabad

1 - 7 yrs

₹6L - ₹15L / yr

React Native

NodeJS (Node.js)

PostgreSQL

Brewhackers Technologies is a place for creative people to develop themselves and thrive in a rapidly changing world. We are developing a service to help people consume and share ideas that matter faster and more efficiently. We deliver this through an app for iOS and Android.

To meet this end, we are looking for a senior software engineer with very strong technical and problem solving skills, someone who loves to work on hard problems and is great with building scalable solutions.

As part of the founding team, the tech lead will have various responsibilites, such as designing the app architecture, writing the first version of the app from scratch, and building and leading the core technical team.

Following key skills are expected :

Strong grasp for good product design.
Minimum 2 Years Experience working with Node.js, MySQL/PostgresQL.
Should have excellent coding skills in Javascript/ES6.
Strong conceptual grasp of React Native or Flutter and minimum 1 year experience in the same.
Strong knowledge of AWS.
Good product architectural sensibilities to take product from concept to implementation
Deep understanding of OO concepts, Database design, REST APIs, GraphQL & Service design.
Knowledge of agile development and version control tools like GIT.

Now on the personality side :

We are looking for an independent, responsible person. Mainly because there is no time for micro-management. We expect you to be able to carry your own weight and be a reliable partner.
We are looking for a fast learner. We may need to use technologies that you never used before. That should not scare, but excite you. In most cases we may not even know what we need and you may have to propose something.
We are looking for you to get stuff done. We work in weekly sprints because we believe in consistent delivery over big lengthy releases.
We want you to be proactive. We appreciate conviction way more than consensus. Words are nice, opinions are cute, but proactivity in action is golden.
We want you to be a partner for your colleagues in the dev team. Help or lead the planning process, code reviews, commits etc. Provide guidance and help your colleagues when they get stuck.
We want you to be an over-communicator. We are remote-first and it’s up to you to show your work, explain your ideas or highlight problems.

Following key skills are expected :

Strong grasp for good product design.
Minimum 2 Years Experience working with Node.js, MySQL/PostgresQL.
Should have excellent coding skills in Javascript/ES6.
Strong conceptual grasp of React Native or Flutter and minimum 1 year experience in the same.
Strong knowledge of AWS.
Good product architectural sensibilities to take product from concept to implementation
Deep understanding of OO concepts, Database design, REST APIs, GraphQL & Service design.
Knowledge of agile development and version control tools like GIT.

Now on the personality side :

We are looking for an independent, responsible person. Mainly because there is no time for micro-management. We expect you to be able to carry your own weight and be a reliable partner.
We are looking for a fast learner. We may need to use technologies that you never used before. That should not scare, but excite you. In most cases we may not even know what we need and you may have to propose something.
We are looking for you to get stuff done. We work in weekly sprints because we believe in consistent delivery over big lengthy releases.
We want you to be proactive. We appreciate conviction way more than consensus. Words are nice, opinions are cute, but proactivity in action is golden.
We want you to be a partner for your colleagues in the dev team. Help or lead the planning process, code reviews, commits etc. Provide guidance and help your colleagues when they get stuck.
We want you to be an over-communicator. We are remote-first and it’s up to you to show your work, explain your ideas or highlight problems.

Business Development & Sales

at Wedeterna

1 video

1 recruiter

Posted by Saneesh Sukumaran

Bengaluru (Bangalore)

2 - 7 yrs

₹3L - ₹6L / yr

Client Servicing

Sales

Presales

Business Development

Meet the monthly targets for user accusistion. Successfully establish agency relationships for new user accusation. Establish revenue sharing with suitable organisations Identify and create b2b sales channels. Estore vendors onboarding & sales partnerships Estore management & sales Logistics management Coordination of events & activities Maintain and develop good relationship with partners Organize and execute offline brand awareness events.

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