
Lead Analyst, AI Engineer (Data Science)
at Semiconductor Manufacturing Industry
šÆ 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.
š 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.
ā¹ļø 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.
š Required Skills and Competencies:
š» Programming & ML Prototyping:
- Strong Proficiency: Python, Data Structures, and Algorithms.
- Hands-on Experience: NumPy, Pandas, Scikit-learn (for ML prototyping).
š¤ 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.
š§ 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.
š¬ 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
š ļø Data & Tools:
- Data Management: SQL fundamentals; exposure to data wrangling and pipelines.
- Tools: Experience with Git/GitHub, Jupyter, and basic Docker.
š 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.
ā 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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Job Description
About the Role
We are seeking an experienced and hands-onĀ Lead AI EngineerĀ withĀ 8-9 years of experienceĀ in developing, fine-tuning, and deploying machine learning and deep learning models, including Generative AI systems. The ideal candidate will have strong expertise in classification, anomaly detection, and time-series modeling, along with deep experience inĀ Transformer-based architectures and modern LLM ecosystems.
This role requiresĀ technical leadership, architectural decision-making, and mentoring of AI engineers, while actively contributing to building scalable AI solutions. Expertise inĀ model optimization, quantization, and Retrieval-Augmented Generation (RAG) pipelinesĀ is highly desirable.
Responsibilities
- Lead theĀ design, development, and deploymentĀ of ML and deep learning models for classification, anomaly detection, forecasting, and natural language understanding tasks.
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- ApplyĀ model optimization techniquesĀ such as quantization, pruning, and efficient inference strategies to improve latency and reduce compute and memory footprint in production systems.
- Define and implementĀ evaluation frameworks, track model performance, monitor model drift, and drive continuous model improvement.
- Lead collaboration withĀ data engineering, backend, platform, and DevOps teamsĀ to productionize AI solutions using scalable infrastructure and CI/CD pipelines.
- ProvideĀ technical mentorship and guidanceĀ to junior and mid-level AI engineers and contribute to best practices in ML engineering.
- EnsureĀ clean, reproducible code, maintain experiment tracking, documentation, and version control of models and datasets.
- Stay up to date with the latest advancements inĀ LLMs, Generative AI, and AI infrastructure, and help drive adoption of new technologies.
Required Skills & Qualifications
- 8-9 years of hands-on experienceĀ in machine learning, deep learning, or data science roles.
- Strong programming expertise inĀ PythonĀ and ML/DL libraries such asĀ scikit-learn, pandas, PyTorch, and TensorFlow.
- Deep understanding ofĀ machine learning algorithms, deep learning architectures, and sequence/NLP modeling techniques.
- Extensive experience withĀ Transformer models and open-source LLM ecosystemsĀ (e.g., Hugging Face Transformers).
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- Experience withĀ model optimization and quantization techniquesĀ (dynamic/static quantization, INT8, etc.) for efficient inference.
- Strong understanding ofĀ embeddings, vector databases, and retrieval systemsĀ (e.g., FAISS, Pinecone, Azure AI Search).
- Experience withĀ model evaluation, monitoring, and performance optimization in production environments.
- Familiarity withĀ containerization (Docker), experiment tracking (MLflow), and CI/CD pipelines.
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- Experience fine-tuning LLMs usingĀ SFT, LoRA, or QLoRAĀ on domain-specific datasets.
- Exposure toĀ MLOps platformsĀ such asĀ SageMaker, Vertex AI, or Kubeflow.
- Experience withĀ distributed data processing frameworksĀ likeĀ SparkĀ and workflow orchestration tools such asĀ Airflow.
- Contributions toĀ research papers, technical blogs, patents, or open-source projectsĀ in ML, NLP, or Generative AI.
- Experience designingĀ enterprise-scale AI platforms or AI-powered products.
⢠Experienced in defining & realizing end-to-end Technical Architecture for large scale
enterprise systems. Ability to identify and define non-functional requirements and design
systems to meet the same.
⢠Strong experience in OOAD and in applying Design patterns effectively.
⢠At least 5 yearsā hands-on experience in Java/ JEE technologies like Struts/JSF, Spring, EJB,
JMS etc. Experience only on front-end technologies like Struts, JSP, Servlets, HTML will not be
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application servers - WebLogic, WebSphere and JBoss. Deep expertise in any one of the
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- Implement a caching layer wherever possible.
- Optimize the API for high performance and scalability.
- Write unit tests for API Testing.
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- Mon-Fri, 9:30 p.m. - 6:30 a.m. IST
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our near term goal is to launch a swapping network that serves a disproportionate share of erickshaw market (100,000 in 2 years). That said, we are building our batteries and charging
infrastructure in a way that it can serve all sorts of electric vehicles tomorrow including 2Ws, our
own 3W and potentially small 4Ws
Summary
Technical Program Manager is responsible for programs/projects involving cross-functional teams
focused on the delivery of products or system or features. They own and manage projects and
programs end-to-end, initiate, coordinate and communicate across groups effectively to provide ontime, within budget, high quality deliverables that meet customer/business expectations.
Sr.Technical Program Manager manages delivery using sound product & business acumen,
technology depth and strong project management skills. Sr.Technical Program manager act as
catalyst to faster business delivery by streamlining and simplifying processes, monitoring
engineering productivity and ensuring the engineering best practices are followed.
Job Location: Bangalore
Roles and Responsibilities
ļ· Drive multiple portfolios, working cross-functionally with product manager, designers,
software development team, business operations, marketing, legal and external partners
across organization to guarantee a smooth and efficient product delivery.
ļ· Defines and implements cross-team processes to improve efficiency and delivery (SDLC),
defines metrics to measure and monitor efficiency and effectiveness of the processes and
drives adoption across organization.
ļ· Monitors and tracks complex programs effectively by providing periodic updates to
technical, non-technical teams and Sr.Management
ļ· Has the right balance of technical, project management and business/product acumen and
manages delivery across SDLC serving as single point of contact.
ļ· Handle multiple competing and changing priorities in a fast-paced environment
ļ· Manages stakeholders from different cross functional teams by setting expectations and
providing frequent program/project updates.
Basic Qualification
ļ·
management experience in product organization
ļ· Understands the technical designs of the multiple projects and programs he/she is
managing. Has deeper understanding of specific sub-systems and possess ability to drive
technical discussions if needed.
ļ·
ļ· Experience in managing deliverables from multiple vendors
ļ· Strong familiarity with Agile methodologies; Has ability to think strategically and execute
methodically.
ļ· Excellent written and verbal communication skills. This includes excellent listening skills,
concise communications and targeting the message to specific audiences
ļ· Experienced working in a fast-paced environment where continuous innovation is desired.
ļ· Mentor technical program managers on industry best practices.
5+ years of experience in a software engineering role and at least 2 years of delivery
As a Graphic Designer, youāll be responsible for making our ideas look good. We are particularly looking for boundary pushers and smart branding skills. You must be able to think creatively and critically, and have impeccable type sensibilities. You should also have the ability to design for different audiences and different brand styles across digital and print media. You must be willing to explore creative solutions that are visually inspiring and conceptually sound.
Competencies:
- Understanding of marketing, production, website design, corporate identity, advertisements, and multimedia design.
- Ability to understand briefs and translate concepts into creative, innovative visuals, effectively overseeing projects from start to end including on-time delivery.
- Eagerness to improve, keep learning, update skills and innovate as per business requirement and market.
Skills:
- Proficient to expert level experience in Adobe Suite focusing on Photoshop, InDesign, and Illustrator. Knowledge of Adobe After Effects and Adobe XD is a plus.
- Intermediate/high proficiency in design principles like typography, composition, scale, color theory, and an advanced knowledge of how those principles work together
- Digital platform design experience and understanding of cross-platform design guidelines.
Experience:
- Strong creative vision and visual arts skills with an established portfolio of B2B print and digital marketing collateral including social media creatives, brochures, reports, sales presentations, pitch decks, etc. preferably in an agency environment.
- Working knowledge of website UI design and motion graphics is a plus.Ā
Location and Type:Ā
Remote, Full-time
Evaluation:
Portfolios will be checked for knowledge on design aesthetics, typography, and composition. Please share only samples of work where the ideas and execution are done by you alone. Shortlisting will be followed by a video interview.

Job Description
We are looking for a Back-End Web Developer responsible for managing the interchange of data between the server and the users. Your primary focus will be development of all server-side logic, definition and maintenance of the central database, and ensuring high performance and responsiveness to requests from the front-end. You will also be responsible for integrating the front-end elements built by your coworkers into the application. A basic understanding of front-end technologies is therefore necessary as well.
Responsibilities
- Integration of user-facing elements developed by a front-end developers with server side logic
- Building reusable code and libraries for future use
- Optimization of the application for maximum speed and scalability
- Implementation of security and data protection
- Design and implementation of data storage solutions
Skills And Qualifications
- Basic understanding of front-end technologies and platforms, such as JavaScript, HTML5, Nodejs and CSS3
- Good understanding of server-side CSS pre-processors, such as LESS and SASS
- User authentication and authorization between multiple systems, servers, and environments
- Good Understanding of Mysql database.
- Management of hosting environment, including database administration and scaling an application to support load changes
- Data migration, transformation, and scripting
- Setup and administration of backups
- Outputting data in different formats
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