Lead AI Engineer
at Fulcrum Digital is an agile and next-generation digital acce
Job Description
About the Role
We are seeking an experienced and hands-on Lead AI Engineer with 8-9 years of experience in developing, fine-tuning, and deploying machine learning and deep learning models, including Generative AI systems. The ideal candidate will have strong expertise in classification, anomaly detection, and time-series modeling, along with deep experience in Transformer-based architectures and modern LLM ecosystems.
This role requires technical leadership, architectural decision-making, and mentoring of AI engineers, while actively contributing to building scalable AI solutions. Expertise in model optimization, quantization, and Retrieval-Augmented Generation (RAG) pipelines is highly desirable.
Responsibilities
- Lead the design, development, and deployment of ML and deep learning models for classification, anomaly detection, forecasting, and natural language understanding tasks.
- Architect and build scalable AI and Generative AI solutions, including RAG pipelines for document search, Q&A, summarization, and enterprise knowledge systems.
- Design, train, and fine-tune deep learning models including RNNs, GRUs, LSTMs, and Transformer architectures (e.g., BERT, T5, GPT).
- Drive the fine-tuning and adaptation of large language models (LLMs) using techniques such as Supervised Fine-Tuning (SFT) and Parameter-Efficient Fine-Tuning (PEFT) methods like LoRA or QLoRA.
- Apply model optimization techniques such as quantization, pruning, and efficient inference strategies to improve latency and reduce compute and memory footprint in production systems.
- Define and implement evaluation frameworks, track model performance, monitor model drift, and drive continuous model improvement.
- Lead collaboration with data engineering, backend, platform, and DevOps teams to productionize AI solutions using scalable infrastructure and CI/CD pipelines.
- Provide technical mentorship and guidance to junior and mid-level AI engineers and contribute to best practices in ML engineering.
- Ensure clean, reproducible code, maintain experiment tracking, documentation, and version control of models and datasets.
- Stay up to date with the latest advancements in LLMs, Generative AI, and AI infrastructure, and help drive adoption of new technologies.
Required Skills & Qualifications
- 8-9 years of hands-on experience in machine learning, deep learning, or data science roles.
- Strong programming expertise in Python and ML/DL libraries such as scikit-learn, pandas, PyTorch, and TensorFlow.
- Deep understanding of machine learning algorithms, deep learning architectures, and sequence/NLP modeling techniques.
- Extensive experience with Transformer models and open-source LLM ecosystems (e.g., Hugging Face Transformers).
- Hands-on experience building Generative AI applications and RAG-based systems using frameworks such as LangChain or LlamaIndex.
- Experience with model optimization and quantization techniques (dynamic/static quantization, INT8, etc.) for efficient inference.
- Strong understanding of embeddings, vector databases, and retrieval systems (e.g., FAISS, Pinecone, Azure AI Search).
- Experience with model evaluation, monitoring, and performance optimization in production environments.
- Familiarity with containerization (Docker), experiment tracking (MLflow), and CI/CD pipelines.
- Proven ability to lead technical initiatives and mentor engineering teams.
Preferred Qualifications
- Experience fine-tuning LLMs using SFT, LoRA, or QLoRA on domain-specific datasets.
- Exposure to MLOps platforms such as SageMaker, Vertex AI, or Kubeflow.
- Experience with distributed data processing frameworks like Spark and workflow orchestration tools such as Airflow.
- Contributions to research papers, technical blogs, patents, or open-source projects in ML, NLP, or Generative AI.
- Experience designing enterprise-scale AI platforms or AI-powered products.
Shubham Vishwakarma
Full Stack Developer - Averlon
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Hiring Alert Sales Executive
Company JNJ Technologies Services
Location Remote
About Us
JNJ Technologies Services is a dynamic and rapidly growing technology solutions provider specializing in Auto Services plans across India We pride ourselves on delivering innovative and tailored solutions to meet the unique needs of our clients ranging from small businesses to large enterprises
Job Description
As a Sales Executive at JNJ Technologies Services you will play a crucial role in driving our companys growth and success through proactive sales strategies and exceptional customer relationship management You will be responsible for identifying new business opportunities cultivating relationships with prospects and negotiating contracts to achieve sales targets Your ability to understand client needs and effectively communicate the value of our solutions will be key to your success in this role
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Comprehensive health benefits package
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Dynamic and collaborative work environment
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Please submit your resume and cover letter outlining your qualifications and why you are interested in joining JNJ Technologies Services We look forward to hearing from you
Contact
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Why Benison Tech?
We have a partial acquisition from one of the biggest names in the world (well we can’t name them thanks to confidentiality) it’s one of the FAANG companies, and you can “Google” it if you like.
Oh! & one more thing, this did not happen by accident, our team put a ton of efforts to turn this gigantic dream into a reality.
Benison Tech has a consistent history of demonstrating growth through innovation time and again.
We don’t stop there, we then re-invest our profits back into the initiatives for the growth of our people, our culture and the company. Now enough with us, let’s talk about the job roles & responsibilities:
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Head to our website https://benisontech.com/">https://benisontech.com to learn more.
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*H1 is a Spanish fin/proptech that revolutionizes the mortgage market by offering bank-risk approved loans before knowing the house an individual wants to purchase. It also offers a powerful selling tool for real estate agents and developers that helps manage their businesses. From there, H1 is building a community of millions of high credit profile users (individuals + companies) that use the credit marketplace technology to access a multiproduct platform (including banking and non-banking capital and multiple financial and credit scoring products) that becomes a financial partner for individuals and companies as well as a personal documentation encrypted storage for all family or group members (SAAS model).
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Clear examples of products managed or developed during his/her career
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Location of Headquarters: Madrid, Spain
Tech Hub in India: Office in Bangalore, Karnataka (India). Full tech team between Madrid, Spain + Bangalore, India
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Salary Range: 40k-90k Rupees monthly (5 Lakhs - 11 Lakhs per annum)
Follow CutshortShubham Vishwakarma
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