Business Development Associate(Hyderabad)

Key Responsibilities:

Manage end-to-end US IT recruitment operations

Monitor submissions, interviews, and placements

Coordinate with recruiters, account managers, and clients

Build and maintain vendor/client relationships

Track KPIs, team performance, and delivery metrics

Requirements:

5+ years of experience in US IT staffing

Strong understanding of W2, C2C, and 1099 hiring models

Proven team handling experience

Excellent communication and leadership skills

🎯 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.

Job Title: Lead Generation Trainee 

Overview: As a Lead Generation Trainee, you will be responsible for identifying and qualifying potential leads for our company's products or services. This entry-level position provides an opportunity to learn and develop essential skills in sales and marketing, particularly in the area of lead generation. You will work closely with the lead generation team to understand strategies, tools, and techniques used to identify and engage potential customers. 

Qualifications: 

• Bachelor's degree in business administration, Marketing, or related field preferred. 
• Strong communication skills, both verbal and written. 
• Ability to research and analyze information effectively. 
• Excellent organizational and time management abilities. 
• Basic understanding of sales and marketing concepts. 
• Proficiency in Microsoft Office suite and CRM software. 
• Self-motivated with a desire to learn and grow in the field of lead generation. 

Benefits: 

• Comprehensive training and mentorship program. 
• Opportunity for career advancement within the lead generation team or other areas of the company. 
• Competitive salary and benefits package. 
• Exposure to cutting-edge tools and technologies used in lead generation. 
• Dynamic and collaborative work environment.

• 4-15 year experience in Application Support
• Must have good knowledge in Java/J2EE, Microservices, PL/SQL, Unix
• Good to have knowledge in Agile, JIRA, Splunk, Service Now
• Good understanding and hands-on experience in Incident, Problem and Change Management
• Provide technical leadership to the team & contribute in the skill development within team
  Interact with internal teams and client stakeholders to trouble shoot the tickets/incident and manage other support activities
• Good communications skills are necessary, must be team player and inquisitive.
• Strong customer service and support focus with a desire to deliver a high-quality service
• Ability to multi-task, work under pressure and to tight deadlines
• Flexible in working outside of office business hours at short notice (as required)
• Should be able to examine the system and identify the areas for Service Improvements & Value adds.

We are seeking a Security Program Manager to effectively drive Privacy & Security Programs in collaboration with cross functional teams. You will partner with engineering leadership, product management and development teams to deliver more secure products.

Roles & Responsibilities:

• Work with multiple stakeholders across various departments such as IT, Engineering, Business, Legal, Finance etc to implement controls defined in policies and processes.
• Manage projects with security and audit requirements with internal and external teams and serve as a liaison among all stakeholders.
• Managing penetration tests and security reviews for core applications and APIs.
• Identify, create and guide on privacy and security requirements considering applicable Data Protection Laws and implement them across software modules developed at Netmeds.
• Brainstorm with engineering teams to figure out how privacy and security controls can be applied to Netmeds tech stack.
• Coordination with Infra Teams and Dev Teams on DB and application hardening, standardization of server images / containerization.
• Assess vendors' security posture before onboarding them and after they qualify, review their security posture at a set frequency.
• Manage auditors and ensure compliance for ISO 27001 and other data privacy audits.
• Answer questions or resolve issues reported by the external security researchers & bug bounty hunters.
• Investigate privacy breaches.
• Educate employees on data privacy & security.
• Prioritize security requirements based on their severity of impact and product roadmap.
• Maintain a balance of security and business values across the organisation.

 Required Skills:

• Web Application Security, Mobile Application Security, Web Application Firewall, DAST, SAST, Cloud Security (AWS), Docker Security, Manual Penetration Testing.
• Good hands-on experience in handling tools such as vulnerability scanners, Burp suite, patch management, web filtering & WAF.

• Familiar with cloud hosting technologies (ex. AWS, Azure). Understanding of IAM, RBAC, NACLs, and KMS.

• Experience in Log Management, Security Event Correlation, SIEM.
• Must have strong interpersonal skills and should be able to communicate complex ideas seamlessly in written and verbal communication.

Good to Have Skills:

• Online Fraud Prevention.
• Bug Bounty experience.
• Security Operations Center (SOC) management.
• Experience with Amazon AWS services (EC2, S3, VPC, RDS, Cloud watch).
• Experience / Knowledge on tools like Fortify and Nessus.
• Experience in handling logging tools on docker container images (ex. Fluentd).