

Lead GenAI Engineer
Position Overview:
We are seeking an innovative and highly skilled Lead Generative AI (GenAI) Engineer to spearhead the design, development, and deployment of advanced AI-powered solutions. In this role, you will lead a team of engineers and data scientists to harness cutting-edge Generative AI technologies and implement them to solve complex business problems, enhance user experiences, and drive innovation. This role combines deep technical expertise, leadership, and a strong understanding of AI trends and tools.
Key Responsibilities:
- Technical Leadership:
- Lead the end-to-end design and implementation of Generative AI solutions.
- Provide technical guidance and mentorship to engineers and data scientists working on GenAI projects.
- Stay updated with the latest trends, research, and advancements in Generative AI and Large Language Models (LLMs).
- Solution Development:
- Architect, train, and fine-tune state-of-the-art LLMs and generative AI models
- Develop and optimize pipelines for prompt engineering, retrieval-augmented generation (RAG), and domain-specific fine-tuning.
- Develop and deploy generative AI models, particularly focusing on ChatGPT, using Python on Azure or AWS Platform or .Net on Azure platform
- Ensure scalability, performance, and security of AI solutions deployed in production.
- Integration and Deployment:
- API Development: Ability to define and deliver API access for GenAI services, facilitating integration with other systems and applications.
- Collaborate with software engineering teams to integrate GenAI solutions into enterprise applications and services.
- Utilize cloud platforms (e.g., Azure, AWS, or GCP) to deploy and manage AI models and APIs.
- Leverage MLOps practices for continuous model monitoring, retraining, and improvement.
- Data Strategy and Preparation:
- Collaborate with data engineering teams to ensure high-quality data acquisition, preprocessing, and augmentation for model training and fine-tuning.
- Implement data governance and privacy practices in line with organizational policies.
- Innovation and Research:
- Experiment with new generative AI techniques, such as multimodal AI, reinforcement learning with human feedback (RLHF), and active learning.
- Evaluate and recommend AI frameworks, libraries, and platforms for project requirements.
- Stakeholder Collaboration:
- Work closely with product managers, business stakeholders, and UX designers to define AI-powered product features and use cases.
- Present technical concepts, project progress, and AI capabilities to non-technical audiences.
Key Requirements
- Technical Skills:
- Hands-on experience with cloud platforms and services for AI/ML, such as Azure AI Services, Azure Machine Learning, AWS Bedrock, or Google Vertex AI.
- Hands on experience in any of LLMs such as OpenAI’s ChatGPT Models , Gemini, Llama 2 ,Claude 2 ,Grok
- Hands on experience in any of the agentic frameworks like LangChain, Semantic kernel, AutoGen, CrewAi
- Hands on experience using any of vector database like Chroma, Pinecone, Weaviate, Faiss
- Experience with multimodal AI and advanced techniques like Tree-of-Thoughts, Retrieval-Augmented Generation (RAG), or Reinforcement Learning with Human Feedback (RLHF)
- Strong expertise in LLMs and generative AI frameworks like OpenAI, Hugging Face Transformers, or similar platforms.
- Deep understanding of natural language processing (NLP) concepts, including tokenization, embeddings, and sequence-to-sequence models.
- Proficiency in Python and libraries such as TensorFlow, PyTorch, and Scikit-learn.
- Experience in CI/CD pipeline management and automation tools, particularly within the Azure DevOps environment. Knowledge of containerization (e.g., Docker) and orchestration tools is also important
- Familiarity with MLOps tools and practices, such as MLflow, Kubeflow, or Docker.
Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field (Ph.D. preferred).
- 8+ years of experience in AI/ML engineering, with 2+ years specifically in Generative AI.
- Minimum of 2 years of experience in building Conversational AI applications using cloud-based services and in orchestrating AI/ML services for building a complete solution
- Minimum of 6 years of extensive full-time experience in Data Analysis, Statistics, Machine Learning, or Computer Science
- Proven track record of leading AI projects from inception to production.
- Experience with multimodal AI and advanced techniques like Tree-of-Thoughts, Retrieval-Augmented Generation (RAG), or Reinforcement Learning with Human Feedback (RLHF).
- Certifications in AI/ML or cloud platforms (e.g., Azure AI Engineer, AWS Certified Machine Learning).

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Job Description
Lead Machine Learning (ML)/
NLP Engineer
5 + years of experience
About Contify
Contify is an AI-enabled Market and Competitive Intelligence (MCI)
software to help professionals make informed decisions. Its B2B SaaS
platform helps leading organizations such as Ericsson, EY, Wipro,
Deloitte, L&T, BCG, MetLife, etc. track information on their competitors,
customers, industries, and topics of interest by continuously monitoring
over 500,000+ sources on a real-time basis. Contify is rapidly growing
with 185+ people across two offices in India. Contify is the winner of
Frost and Sullivan’s Product Innovation Award for Market and
Competitive Intelligence Platforms.
The role
We are looking for a hardworking, aspirational, and innovative
engineering person for the Lead ML/ NLP Engineer position. You’ll build
Contify’s ML and NLP capabilities and help us extract value from
unstructured data. Using advanced NLP, ML, and text analytics, you will
develop applications that will extract business insights by analyzing a
large amount of unstructured text information, identifying patterns, and
by connecting the events.
Responsibilities:
You will be responsible for all the processes from data collection, and
pre-processing, to training models and deploying them to production.
➔ Understand the business objectives; design and deploy scalable
ML models/ NLP applications to meet those objectives
➔ Use of NLP techniques for text representation, semantic analysis,
information extraction, to meet the business objectives in an
efficient manner along with metrics to measure progress
➔ Extend existing ML libraries and frameworks and use effective text
representations to transform natural language into useful features
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quality, and employing data augmentation techniques
➔ Defining the preprocessing or feature engineering to be done on a
given dataset
➔ Analyze the errors of the model and design strategies to overcome
them
➔ Research and implement the right algorithms and tools for ML/
NLP tasks
➔ Collaborate with engineering and product development teams
➔ Represent Contify in external ML industry events and publish
thought leadership articles
Desired Skills and Experience
To succeed in this role, you should possess outstanding skills in
statistical analysis, machine learning methods, and text representation
techniques.
➔ Deep understanding of text representation techniques (such as n-
grams, bag of words, sentiment analysis, etc), statistics and
classification algorithms
➔ Hand on experience in feature extraction techniques for text
classification and topic mining
➔ Knowledge of text analytics with a strong understanding of NLP
algorithms and models (GLMs, SVM, PCA, NB, Clustering, DTs)
and their underlying computational and probabilistic statistics
◆ Word Embedding like Tfidf, Word2Vec, GLove, FastText, etc.
◆ Language models like Bert, GPT, RoBERTa, XLNet
◆ Neural networks like RNN, GRU, LSTM, Bi-LSTM
◆ Classification algorithms like LinearSVC, SVM, LR
◆ XGB, MultinomialNB, etc.
◆ Other Algos- PCA, Clustering methods, etc
➔ Excellent knowledge and demonstrable experience in using NLP
packages such as NLTK, Word2Vec, SpaCy, Gensim, Standford
CoreNLP, TensorFlow/ PyTorch.
➔ Experience in setting up supervised & unsupervised learning
models including data cleaning, data analytics, feature creation,
model selection & ensemble methods, performance metrics &
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Score, AUC – ROC, etc
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➔ Education: Bachelors or Masters in Computer Science,
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solutions over open-source platforms such as SciKit-Learn,
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- Develop and execute engineering strategy (including technology architecture, development stack, scalability, security etc.) of all our SaaS solutions while keeping in mind needs of business as usual and evolving product feature requirements
- Lead the engineering team and ensure good delivery management to deliver the product roadmap with high speed and quality
- Innovation – explore available technologies that may be useful to our context and run experiments and POCs to evaluate before adoption
- Bring automation and best practices to code management, testing and build & deployment processes
- Solve the most complex issues/initiatives through hands-on development
- Help the team members in resolving difficult technical issues
- Be a champion of engineering excellence: establish team metrics for measurement of engineering and operational excellence. Implement a consistent, regular process for assessment and improvement
- Provide thought-leadership to fellow team members by working as a guide and mentor to the rest of the team members
The Benefits:
- Best in Industry Remuneration
- Attractive ESOP opportunity with huge potential upside
- Cutting edge technologies with always something new happening
- Start-up culture with full ownership and freedom
- Fully flexible hours and work from anywhere
- Super-fun work environment and colleague
Key Skills Needed:
- Microservices, Spring Boot, Core Java, Struts 2.0, JPA & Hibernate
- Hands-On experience in relational databases (MySQL Preferred)
- Experience in Data warehousing & Analytics
- Hands-on exposure in mobile application developmen
Qualifications
- B.E. / B.Tech from Tier 1 Institute
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- Creating the website architecture.
- Designing and building the website front-end.
- Managing website back-end including database and server integration.
- Managing WordPress themes and plugins.
- Conducting website performance tests.
- Troubleshooting content issues.
- Monitoring the performance of the live website.
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ML ARCHITECT
Job Overview
We are looking for a ML Architect to help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products. They must have strong experience using variety of data mining and data analysis methods, building and implementing models, using/creating algorithm’s and creating/running simulations. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. Automating to identify the textual data with their properties and structure form various type of document.
Responsibilities
- Selecting features, building and optimizing classifiers using machine learning techniques
- Data mining using state-of-the-art methods
- Enhancing data collection procedures to include information that is relevant for building analytic systems
- Processing, cleansing, and verifying the integrity of data used for analysis
- Creating automated anomaly detection systems and constant tracking of its performance
- Assemble large, complex data sets that meet functional / non-functional business requirements.
- Secure and manage when needed GPU cluster resources for events
- Write comprehensive internal feedback reports and find opportunities for improvements
- Manage GPU instances/machines to increase the performance and efficiency of the ML/DL model.
Skills and Qualifications
- Strong Hands-on experience in Python Programming
- Working experience with Computer Vision models - Object Detection Model, Image Classification
- Good experience in feature extraction, feature selection techniques and transfer learning
- Working Experience in building deep learning NLP Models for text classification, image analytics-CNN,RNN,LSTM.
- Working Experience in any of the AWS/GCP cloud platforms, exposure in fetching data from various sources.
- Good experience in exploratory data analysis, data visualisation, and other data preprocessing techniques.
- Knowledge in any one of the DL frameworks like Tensorflow, Pytorch, Keras, Caffe
- Good knowledge in statistics,distribution of data and in supervised and unsupervised machine learning algorithms.
- Exposure to OpenCV Familiarity with GPUs + CUDA
- Experience with NVIDIA software for cluster management and provisioning such as nvsm, dcgm and DeepOps.
- We are looking for a candidate with 14+ years of experience, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:
- Experience with big data tools: Hadoop, Spark, Kafka, etc.
- Experience with AWS cloud services: EC2, RDS, AWS-Sagemaker(Added advantage)
- Experience with object-oriented/object function scripting languages in any: Python, Java, C++, Scala, etc.
As a Senior Tech Lead:
You will be part of a thought leadership team that will design and develop the leading cyber security solution that protects digital assets of corporations such as Apple & the US Federal Govt. This solution used by global Fortune 100 corporations will be massively scalable to secure their Global networks
You will bring to the table:
Domain: Networking and Network Security
Primary Skills: Java, Spring & Hibernate
Secondary Skills: Any one of Python / Java Script / Angular JS / Shell / ANTLR / Groovy
Expertise
- Excellent skills & experience in Java, Spring & Hibernate
- Minimum 2 years of Experience in Networking and Network Security domain
- Any Scripting language - Python / Java Script / Angular JS / Shell / ANTLR / Groovy
- Strong object-oriented design skills, data structures, algorithms, and design patterns.
- Tools Pivotal / GitHub / Jenkins
- Good to have Database design and management experience.
What you will do…
- You will be hands on, writing high quality code and ensuring on-time delivery.
- Provide guidance on software design, architecture, and interface choices.
- Design highly scalable, reliable, secure and fault tolerant systems with minimal guidance.
- Mentor engineers on design, coding, and troubleshooting.
- Analyse requirements, problems and solve them with the best solution.
- Create platforms, reusable libraries, and utilities wherever applicable.
- Work in cross-functional team, collaborating with peers during entire SDLC.
- Work as part of a team to solve complex technical problems.
- Support customer queries, escalations, to keep high customer satisfaction.
About Benison
Benison Tech is a niche technology company that has been appointed by Intel, Broadcom, CISCO, Checkpoint, and Marvell to collaboratively spearhead the next generation Network Security, 5G and Wireless technologies. We help our mutual customers get to market faster by applying our core technical brilliance in solving complex engineering problems.
We work with the world leading technology companies in the latest bleeding edge technologies from 5G enablement to real-time ML based network security systems.
Our interview process isn’t easy, but necessary to ensure that we are a fit for each other. You will be working in a dynamic fast paced environment on cutting edge technologies, so roll up your sleeves and get ready for the challenge. We need people who are drawn to technology challenges rather than work in a plush corporate role.
You are a fit for Benison if
- You want to work in the technologies of the future… Network Security, Cloud technologies, 5G and WiFi6.
- You have a deep-rooted desire to learn new technologies.
- You are driven by the passion of solving complex problems.
- You want to work with some of the best minds in the industry


