Sales Executive

Our Core Full Stack

Front-End Engineering 

• React for building complex, state-heavy interactive dashboards 
• JavaScript (ES6+) and TypeScript for type-safe management of simulation data 
• State management (Redux/Zustand) optimized for high-frequency data updates 

Back-End & Microservices 

• .Net and Spring Boot for building high-scale, resilient microservices 
• REST APIs for seamless communication between services and front-end consumers 
• Microservices architecture and system integration patterns 

Engineering Excellence 

• GitHub for version control and rigorous Code Reviews 
• CI/CD pipelines, Docker, and Kubernetes for cloud-native deployment 

Key Responsibilities 

• Low-Level Design (LLD): Convert high-level architectural blueprints into detailed technical designs, including class diagrams, sequence diagrams, and API specifications. 
• Technical Mentoring: Lead and coach the engineering team through pair programming, technical 1-on-1s, and hands-on guidance to elevate overall team competency. 
• Standards Enforcement: Ensure all code adheres to the defined engineering standards, SOLID principles, and design patterns established by the Architects. 
• Code Quality & Review: Conduct comprehensive code reviews to maintain high quality, ensuring the team delivers clean, testable, and maintainable code. 
• Technical Anchoring: Serve as the "go-to" expert for the squad to resolve complex technical blockers and provide clarity on implementation details. 
• Hands-on Development: Direct implementation of critical and complex modules, setting the benchmark for performance and reliability. 
• System Integration: Oversee the technical execution of integrations between full-stack applications and core data layers (Databricks/Neo4j). 
• Delivery Governance: Ensure the squad meets sprint objectives by maintaining a high standard of execution and managing technical debt effectively. 

Preferred Qualifications 

• 8 to 10 years of professional experience in full-stack software development. 
• Proven track record in a Tech Lead capacity, with strong experience in creating Low-Level Designs. 
• Expert-level proficiency in .Net, Spring Boot, and React. 
• Deep understanding of Microservices architecture and RESTful API design. 
• Demonstrated ability to mentor engineering teams and drive technical excellence in an Agile environment. 
• Experience working in the India tech region, preferably within high-growth product engineering teams. 

Highly Desirable 

• Experience building platforms for Digital Twin, IoT, or Simulation environments. 
• Familiarity with visualizing complex networks or real-time operational data. 
• Knowledge of performance tuning for both front-end rendering and back-end processing. 
• Experience leading teams in an Agile/Scrum environment. 
• Exposure to industrial domains such as Manufacturing, Logistics, or Transportation is a plus. 

Location: Hyderabad, Telangana 

Department: Engineering 

Employment Type: Full-Time 

🎯 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.

iOS Developer

Hiring for the position of iOS Developer responsible for developing app from scratch.

Role

●        Translate design and wireframes into code

●        Design, build, and maintain high performance, reusable, and reliable code

●        Identify solutions through research and collaboration that resolves the root of problems as they arise

●        Unit testing code

●        Experience with cloud message APIs and usage of push notifications

Requirement

∙  2+ years’ strong development experience in iOS

∙  Experience using RESTful web services within mobile applications

∙ Proficient with Swift and Cocoa Touch

∙ Knowledge of iOS UI/UX standards

∙ Understanding of Apple’s design principles and interface guidelines

∙ Experience with code versioning control, such as bitbucket/git

Education: Engineering

• Looking manage IaC module
• Terraform experience is a must
• Terraform Module as a part of central platform team
• Azure/GCP exp is a must
• C#/Python/Java coding – is good to have

What you need to have:

Experience - 2 to 6 Years

Work Location - Pune

Datametica is looking for talented SQL engineers who would get training & the opportunity to work on Cloud and Big Data Analytics.

Mandatory Skills:

• Strong in SQL development
• Hands-on at least one scripting language - preferably shell scripting
• Development experience in Data warehouse projects

Opportunities:

• Selected candidates will be provided learning opportunities on one or more of the following: Google Cloud, AWS, DevOps Tools, Big Data technologies like Hadoop, Pig, Hive, Spark, Sqoop, Flume, and KafkaWould get a chance to be part of the enterprise-grade implementation of Cloud and Big Data systems
• Will play an active role in setting up the Modern data platform based on Cloud and Big Data
• Would be part of teams with rich experience in various aspects of distributed systems and computing

8+ years of overall IT experience with .NET framework and Azure

. large/Enterprise Customer end to end Consulting Experience.

. Expert in C# development, .NET Core, React, Angular, PowerShell and Azure developments like Web jobs, REST based Web API.

• Experience in Azure and AWS Cloud
• Experience of working on Agile projects.
• Proven track record delivering complex projects end to end.
• Application Architectures including the use of cloud-based technology capabilities such as Teams, SPO, Azure, Application Life Cycle Management and Application Platform processes and technology.
• Troubleshoot and debugging technical issues in a variety of application environments.
• Oversee deliverables from partners, subcontractors, and resources .
• IP Reuse and IP creation
• Drive operational excellence and innovation, leveraging new ideas contributing to increasing Microsoft value to customers.
• Fluent in English, verbal, and written communications skills. 

Qualification

• Must have a degree in Computer Science Engineering or equivalent work experience. Higher relevant education preferred.
• Experience working in a Services organization in a consulting capacity is strongly preferred. Experience working on multi-phase global implementations is preferred.
• Having Microsoft Certifications (M365, Azure, AWS, SharePoint, .Net) is a plus.