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Urgent Opening for Sr. AI Engineer
Urgent Opening for Sr. AI Engineer
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Urgent Opening for Sr. AI Engineer

Ritika Soni's profile picture
Posted by Ritika Soni
4 - 13 yrs
₹2L - ₹15L / yr
Ahmedabad
Skills
Artificial Intelligence (AI)
Generative AI
Large Language Models (LLM) tuning
Natural Language Processing (NLP)
Prompt engineering
Retrieval Augmented Generation (RAG)
Computer Vision
Image Processing

We are looking for skilled AI Engineer for our organization. Please have a look to below details and revert accordingly if we can discuss further


Company Name: TechWize (A Business unit of Mangalam Information Technologies Pvt Ltd.)

Our Accreditations -

  • 25 years of industry presence
  • Salesforce Partner
  • ISO 27001:2019 certified
  • Great Place to Work certified
  • HIPAA Compliant
  • SOC2 Compliant
  • NASSCOM Member

Our EVP (Employee Value proposition)

  • We are a Great place to work certified company.
  • 30 Earned Leaves during calendar Year
  • Career progression and continuous Learning & Development (Technical, Soft skills, Communication, Leadership)
  • Performance bonus & Loyalty Bonus Benefits
  • 5 Days working
  • Rewards and Recognition programs
  • Standard Salary as per market norms
  • Equal career opportunities, No discrimination
  • Magnificent & Dynamic Culture
  • Festival celebrations & fun events

Explore more : https://techwize.com/https://mangalaminfotech.com/


Position: AI/Sr. AI Engineer

Job location: Ahmedabad

Experience: 4+ years


Job Overview:

We are seeking a highly experienced and innovative Senior AI Engineer with a strong background in Generative AI, including LLM fine-tuning and prompt engineering. This role requires hands-on expertise across NLPComputer Vision, and AI agent-based systems, with the ability to build, deploy, and optimize scalable AI solutions using modern tools and frameworks.

Key Responsibilities:

  • Design, fine-tune, and deploy generative AI models (LLMs, diffusion models, etc.) for real-world applications.
  • Develop and maintain prompt engineering workflows, including prompt chaining, optimization, and evaluation for consistent output quality.
  • Build NLP solutions for Q&A, summarization, information extraction, text classification, and more.
  • Develop and integrate Computer Vision models for image processing, object detection, OCR, and multimodal tasks.
  • Architect and implement AI agents using frameworks such as LangChain, AutoGen, CrewAI, or custom pipelines.
  • Collaborate with cross-functional teams to gather requirements and deliver tailored AI-driven features.
  • Optimize models for performance, cost-efficiency, and low latency in production.
  • Continuously evaluate new AI research, tools, and frameworks and apply them where relevant.
  • Mentor junior AI engineers and contribute to internal AI best practices and documentation.

Required Skills & Qualifications:

  • Bachelor’s or Master’s in Computer Science, AI, Machine Learning, or related field.
  • 5+ years of hands-on experience in AI/ML solution development.
  • Proven expertise in fine-tuning LLMs (e.g., LLaMA, Mistral, Falcon, GPT-family) using techniques like LoRA, QLoRA, PEFT.
  • Deep experience in prompt engineering, including zero-shot, few-shot, and retrieval-augmented generation (RAG).

  • Proficient in key AI libraries and frameworks:
  • LLMs & GenAI: Hugging Face Transformers, LangChain, LlamaIndex, OpenAI API, Diffusers
  • NLP: SpaCy, NLTK.
  • Vision: OpenCV, MMDetection, YOLOv5/v8, Detectron2
  • MLOps: MLflow, FastAPI, Docker, Git

  • Familiarity with vector databases (Pinecone, FAISS, Weaviate) and embedding generation.
  • Experience with cloud platforms like AWSGCP, or Azure, and deployment on in house GPU-backed infrastructure.
  • Strong communication skills and ability to convert business problems into technical solutions.


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About Techwize

Founded :
2018
Type :
Services
Size :
100-1000
Stage :
Raised funding

About

N/A

Company social profiles

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  • Monitor and optimize model performance to ensure accuracy and efficiency.

Microservices Architecture:

  • Define and implement microservices architecture patterns and best practices.
  • Ensure that microservices are designed for scalability, flexibility, and resilience.
  • Collaborate with development teams to build and deploy microservices-based applications.

Monitoring Systems:

  • Set up monitoring systems for AI and microservices solutions to ensure performance, reliability, and security.
  • Implement proactive alerting and reporting mechanisms to identify and address issues promptly.

Integration and Deployment:

  • Work with IT teams to integrate AI solutions and microservices into existing systems and applications.
  • Ensure seamless deployment and monitoring of AI and microservices solutions in production environments.

Compliance and Security:

  • Ensure that AI solutions, microservices, and monitoring systems comply with relevant regulations and data privacy standards.
  • Implement security measures to protect AI models, data, and microservices.

Stakeholder Communication:

  • Collaborate with business stakeholders to gather requirements and provide regular updates on AI and microservices project progress.
  • Translate technical concepts into non-technical language for various audiences.

Research and Innovation:

  • Stay up-to-date with emerging AI, microservices, and cloud computing trends, technologies, and best practices.
  • Identify opportunities for innovation and propose new AI and microservices initiatives to drive business growth.

Requirements:

  • Bachelor's or Masters degree in computer science, Data Science, or a related field.
  • Proven experience (X+ years) as an Enterprise Architect with a focus on AI, Microservices, and machine learning.
  • Strong knowledge of AI technologies, including deep learning, natural language processing, computer vision, and reinforcement learning.
  • Proficiency in data analytics, cloud computing platforms (e.g., AWS, Azure, GCP), big data technologies, and microservices architecture.
  • Experience with AI model development, deployment, and monitoring, as well as microservices design and implementation.
  • Excellent communication and interpersonal skills.
  • Ability to lead cross-functional teams and drive innovation.
  • Strong problem-solving and critical-thinking abilities.
  • Knowledge of regulatory requirements and data privacy standards related to AI and microservices.

Preferred Qualifications:

  • AI-related certifications (e.g., AWS Certified Machine Learning – Specialty, Google Cloud Professional Machine Learning Engineer, etc.).
  • Experience in industries such as insurance and healthcare, with a deep understanding of their specific challenges and requirements.
  • Previous experience with enterprise architecture frameworks (e.g., TOGAF).

This Enterprise Architect with AI, Microservices, Insurance, and Healthcare Experience role offers an exciting opportunity to shape the AI strategy, microservices architecture, and drive innovation within our organization, particularly in the insurance and healthcare sectors. Additionally, you will play a key role in setting up monitoring systems to ensure the performance and reliability of our AI and microservices solutions. If you have a passion for AI, microservices, and a strong background in these industries, we encourage you to apply and be part of our dynamic team.

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Pune
4 - 9 yrs
₹4L - ₹12L / yr
skill iconJava
Hadoop
Spark
skill iconMachine Learning (ML)
Artificial Intelligence (AI)
We are looking to hire passionate Java techies who will be comfortable learning and working on Java and any open source frameworks & technologies. She/he should be a 100% hands-on person on technology skills and interested in solving complex analytics use cases. We are working on a complete stack platform which has already been adopted by some very large Enterprises across the world. Candidates with prior experience of having worked in typical R&D environment and/or product based companies with dynamic work environment will be have an additional edge. We currently work on some of the latest technologies like Cassandra, Hadoop, Apache Solr, Spark and Lucene, and some core Machine Learning and AI technologies. Even though prior knowledge of these skills is not mandatory at all for selection, you would be expected to learn new skills on the job.
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Shubham Vishwakarma

Full Stack Developer - Averlon
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