System Verification Engineer

🎯 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.

• Responsibilities:
• Conduct thorough research on industry-related topics and stay up to date with the latest trends and best practices. 
• Develop and implement content strategies to drive brand awareness, lead generation, and customer engagement. 
• Collaborate with cross-functional teams, including marketing, design, and development, to ensure content alignment with brand guidelines and business objectives. 
• Optimize content for search engines (SEO) to improve organic visibility and drive traffic to our website.

About the Role:

We are looking for an experienced and imaginative Generative AI Architect & Engineer to lead, design, and build cutting-edge solutions using Large Language Models (LLMs) such as OpenAI’s GPT-4/5, Google Gemini, Meta’s LLaMA, and Anthropic Claude. You will spearhead the development of a corporate-wide GenAI platform that harnesses proprietary enterprise knowledge and empowers sales, operations, and other departments with instant, contextual insights, guidance, and automation.

As the GenAI leader, you will be responsible for building scalable pipelines, integrating enterprise content repositories, fine-tuning or adapting foundational models, and creating secure and intuitive access patterns for business teams. You are passionate about creating highly usable solutions that solve real-world problems, and are fluent across architecture, implementation, and MLOps best practices.

Key Responsibilities:

• Architect and implement an end-to-end GenAI solution leveraging LLMs to serve as a contextual assistant across multiple business units.
• Develop pipelines to ingest, clean, and index enterprise knowledge (documents, wikis, CRM, chat transcripts, etc.) using RAG (Retrieval-Augmented Generation) patterns and vector databases.
• Lead fine-tuning, prompt engineering, and evaluation of LLMs, adapting open-source or commercial models to enterprise needs.
• Design a secure, scalable, API-first microservice platform, including middleware and access control, integrated into corporate systems.
• Work closely with sales, operations, and customer support teams to gather use cases and translate them into impactful GenAI features.
• Drive experimentation and benchmarking to evaluate various open and closed LLMs (OpenAI, Claude, Gemini, LLaMA, Mistral, etc.) for best performance and cost-efficiency.
• Collaborate with DevOps teams to enable MLOps workflows, CI/CD pipelines, versioning, and A/B testing for AI models.
• Contribute to technical documentation, best practices, and internal knowledge sharing.

Key Qualifications:

• 4–5+ years of hands-on experience in AI/ML product development or applied research.
• Demonstrated experience working with LLMs (OpenAI, LLaMA, Claude, Gemini, Mistral, etc.) and RAG pipelines, including vector search (FAISS, Weaviate, Pinecone, Chroma, etc.).
• Strong Python skills and experience with frameworks such as LangChain, LlamaIndex, Transformers, Ray, HuggingFace, or equivalent.
• Deep understanding of NLP, model fine-tuning, embeddings, tokenization, and content ingestion pipelines.
• Exposure to enterprise content systems (e.g., SharePoint, Confluence, Salesforce, internal wikis, etc.) and integrating with them securely.
• Solid foundation in software architecture, microservices, API design, and cloud deployments (Azure, AWS, or GCP).
• Experience with security, RBAC, and compliance practices in enterprise-grade solutions.
• Ability to lead projects independently and mentor junior engineers or data scientists.

How to Apply:

Submit your resume and a short technical project summary or portfolio (GitHub, Hugging Face, blog posts)

We are looking for someone who is enthusiastic about community , influencer marketing and looking to kick start career in the start up domain.

1. influencer marketing
2. onboarding creators through various social media platforms such as instagram etc.
3. Must have great communication skills and ready to work in a fast paced environment.
4. Ability to connect with various influencers through telegram/whatsapp etc.

• Monitoring business metrics on a weekly basis- % repeat, CAC, LTV, ROAS, ACOS, etc
• Liaising with the brand marketing team to identify the appropriate target audience for particular ad campaigns
• Developing and managing digital prospecting and remarketing campaigns
• Managing budgets and campaigns across all digital channels to drive strong return on investment and efficient CAC
• Ensuring successful planning, execution, optimization for key traffic KPIs via paid, organic & own media channels
• Identifying and testing new channels to continue to meet or exceed established critical metrics
• Working closely with the management to share funnel conversion improvement ideas, feedback & present results

Desired Candidate Profile

• 6+ yrs digital performance marketing experience ideally in the FMCG space
• Familiarity with Facebook Business Manager, Google Adwords, analytics, and Instagram    

Location: Chennai

Summary of the Position:

Job Purpose:    

Genesys is the global omnichannel customer experience and contact center solution leader. With over 4,500 successful customers, our customer experience platform and solutions help companies engage effortlessly with their customers, across all touchpoints, channels and interactions to deliver differentiated customer journeys, while maximizing revenue and loyalty. 

Genesys is embracing AI and Machine Learning in delivering AI-powered products like Predictive Routing, Chat bots, and Customer Journey management. The PS Data Scientist share a passion for AI & data working with global project teams and customers to extend data science services across Genesys solutions both on premise and in the cloud.

Join us and be a part of this journey as we write Customer Success stories with these products.

Location: (Chennai/Hyderabad/Bangalore)

WHAT YOU DO:

• Interface with business customers, gathering and understanding requirements

• Interface with customer and Genesys data science teams in discovery, extraction, loading, data transformation, and analysis of results

• Define and utilize data intuition process to cleanse and verify the integrity of customer & Genesys data to be used for analysis

• Implement, own, and improve data pipelines using best practices in data modeling, ETL/ELT processes

• Build, improve, and provide ongoing optimization of high quality models

• Work with PS & Engineering to deliver specific customer requirements and report back customer feedback, issues and feature requests. Continuous improvement in reporting, analysis, overall process.

• Visualize, present and demonstrate findings as required. Perform knowledge transfer to customer and internal teams.

• Communicate within the global community respecting cultural, language and time zone variations

• Demonstrate flexibility to adjust working hours to match customer and team interactions

ABOUT YOU:

• Bachelor’s / Master’s degree in quantitative field (e.g. Computer Science, Statistics, Engineering)

• 2-4 years of relevant experience in Data Science or Data Engineering

• 2+ years of hands-on experience performing statistical data analysis across large datasets writing highly optimized SQL queries and utilizing Python (NumPy, Pandas) or similar software (Primary)
• Expertise with major statistical & analytical software like (Python or R or SAS) - Primary
• Experience in Snowflake, Tableau, Elasticsearch, Kibana and real time analytics solution development will be major plus (Secondary)

• Should have the application development background of using any contact center product suites such as Genesys, Avaya, Cisco etc.

• Expertise with data modelling, data warehousing and ETL/ELT development

• Expertise with database solutions such as SQL, MongoDB, Redshift, Hadoop, Hive

• Proficiency with REST API, JSON, (AWS/AZURE/GCP) - Primary

• Experience in working and delivering projects independently. Ability to multi-task and context switch between projects and tasks

• Curiosity, passion, and drive for data queries, analysis, quality, models

• Excellent communication, initiative, and coordination skills with great attention to detail. Ability to explain and discuss complex topics with both experts and business leaders

How You Do It:

How You Think: Understands the business and takes a non-traditional approach to solving common problems. Willing to draw outside the lines and find new ways to make an impact on old problems.

How You Interact: Can easily build collaborative relationships that energize individuals, teams, and the company into action. You are a global thinker and can work across locations and time zones. You are an excellent communicator and listener, and can easily persuade to drive a vision and purpose.

How You Own It: You are a hands-on executor who can drive change and clearly communicate across all stakeholders.

How You Show Up: 

Embodies Genesys core cultural values and pushes to create an authentic employee experience. You are the type of person who can succeed through ambiguity, bringing clarity where there is no roadmap, who can re-set when a change in direction is needed without getting derailed or frustrated. You are authentic and in still the trust in others.

About Us

Genesys ® powers more than 25 billion of the world’s best customer experiences each year. We put the customer at the center of everything we do and passionately believe that great customer engagement drives great business outcomes. More than 10,000 companies in more than 100 countries trust the industry’s #1 customer experience platform to orchestrate omnichannel customer journeys that eliminate silos and build lasting relationships. With a strong track record of innovation and a never-ending desire to be first, Genesys is the only company recognized by top industry analysts as a leader in both cloud and on-premise customer engagement solutions. Connect with Genesys via www.genesys.com , Twitter , Facebook , YouTube , LinkedIn , and the Genesys blog.

Genesys is an equal opportunity employer committed to diversity in the workplace. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics.