.Net developer

Key Skills:

Technical Skills

• Power BI Development: 4-5 years of hands-on experience developing Power BI reports, dashboards, and data models
• DAX: Strong proficiency in DAX (Data Analysis Expressions) for creating measures, calculated columns, and complex calculations
• Power Query / M Language: Expertise in data transformation and ETL processes using Power Query
• Data Modeling: Solid understanding of dimensional modeling, star schema, and data warehouse concepts
• SQL: Proficient in SQL for data extraction, manipulation, and querying relational databases
• Power BI Service: Experience with Power BI Service administration, workspace management, scheduled refreshes, and deployment pipelines
• Custom Visualizations: Experience creating and configuring custom visuals, including use of AppSource visuals and custom visual development using Power BI Visuals SDK
• API Integration: Hands-on experience with Power BI REST APIs for automating deployments, managing workspaces, and embedding reports
• Knowledge of data visualization best practices and UI/UX principles for dashboard design
• Experience with data source connectivity (SQL Server, Azure SQL, Oracle, SAP, Excel, APIs, web services)

Additional Required Qualifications

• Bachelor’s degree in computer science, Information Systems, Business Analytics, or related field
• Strong analytical and problem-solving abilities
• Excellent communication skills to work with both technical and non-technical stakeholders
• Ability to manage multiple projects and prioritize tasks effectively
• Detail-oriented with commitment to delivering high-quality work
• Client-facing experience with ability to gather requirements and present solutions

Preferred Qualifications

• Microsoft Power BI certification (PL-300 or equivalent)
• Experience with Azure ecosystem (Azure Data Factory, Azure Synapse Analytics, Azure SQL Database)
• Knowledge of other Microsoft BI tools (SSRS, SSAS, Excel Power Pivot)
• Familiarity with Python or R for advanced analytics integration
• Experience with Dataflows and incremental refresh strategies
• Understanding of API development for custom visuals or Power BI embedded solutions
• Experience working in Agile/Scrum development environments

🎯 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.

• Maintain accurate and up-to-date financial records.
• Process accounts payable and receivable transactions.
• Perform bank reconciliations and ensure accurate cash management.
• Manage general ledger entries and reconciliations.
• Assist with month-end and year-end closing procedures.

Financial Reporting:

• Prepare and analyze financial statements (balance sheets, income statements, cash flow statements).
• Generate regular financial reports for management.
• Assist with budget preparation and variance analysis.
• Analyze financial data and provide insights to support decision-making.

Compliance and Auditing:

• Ensure compliance with accounting standards (GAAP, IFRS) and tax regulations.
• Assist with internal and external audits.
• Maintain documentation for financial transactions.
• Stay up-to-date on changes in accounting regulations.

Job Description :

Business Development Executive/ Manager

 2 – 8 years of experience as a Business Development Manager or similar role

 Experience in leading business development team

 Excellent communication and negotiation skills

 Excellent leadership skills

 Critical thinker and problem solver

 Great communication and presentation skills

 Excellent command of MS Office and CRM software

 2 – 8 years of experience in business development, sales management, or relevant fields

 Lead Generate, Sales and Get Client

 Convincing Power

We are looking for a Human Resources Manager that is committed to recruiting top talent, and providing our staff members with an exceptional work experience. From the moment of hire until the time they leave the organization, we want employees to be engaged in their jobs. Our ideal candidate will be skilled in managing compensation, benefits, recognition, training, performance management and employee relations in a manner that retains staff members long-term and builds our employer brand. We are proud of the diversity in our workforce, and our Human Resources Manager is tasked with ensuring that our company culture welcomes a diverse population and supports each person in achieving career goals within the organization.

Key Responsibilities:

•  Develop and implement HR strategies and initiatives aligned with the overall business strategy.
•  Bridge management and employee relations by addressing demands, grievances or other issues
•  Manage the recruitment and selection process.
•  Support current and future business needs through the development, engagement, motivation and preservation of human capital.
• Develop and monitor overall HR strategies, systems, tactics and procedures across the organization
• Nurture a positive working environment.
• Oversee and manage a performance appraisal system that drives high performance.
• Maintain pay plan and benefits program.
• Assess training needs to apply and monitor training programs.
• Report to management and provide decision support through HR metrics.
• Ensure legal compliance throughout human resource management.

Requirements:

• Proven working experience as HR Manager or other Sr HR Executive.
• People oriented and results driven.
• Demonstrable experience with Human Resources metrics.
• Knowledge of HR systems and databases.
• Ability to architect strategy along with leadership skills.
• Excellent active listening, negotiation and presentation skills.
• Competence to build and effectively manage interpersonal relationships at all levels of the company.
• In-depth knowledge of labour law and HR best practices.
• Degree in Human Resources or related field

Skills Needed

• Hands-on extensive Salesforce experience
• Experience in lightning implementation, LWC
• Ability to Perform configuration, customization, integration and support of Salesforce.com
• Hands-on Experience in customizing using APEX, Triggers, Batch Apex, Visualforce, etc
• Understanding of the Salesforce.com data model
• Must-Have hands-on experience on Deployments using Change set, , Managing release dependencies across multiple projects
• Understanding the release management and software development life cycle

The ability and desire to sell

Excellent communication skills

A positive, confident and determined approach

High degree of self-motivation and ambition

The skills to work both independently and as part of a team

Active listening

Taking Initiatives

Verbal communication skills

Time management

Critical thinking

Self-regulation