AI / ML Developer

2 - 3 years

7 - 11 Lacs

Posted:3 days ago| Platform: Naukri logo

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Job Type

Full Time

Job Description


Job Description

Designation:

AI/ML Developer

Location:

Ahmedabad

Department:

Technical

Job Summary:

We are looking enthusiastic AI/ML Developer with 2 to 3 years of relevant experience in machine learning and artificial intelligence. The candidate should be well-versed in designing and developing intelligent systems and have a solid grasp of data handling and model deployment.

Key Responsibilities:

  • Develop and implement machine learning models tailored to business needs.
  • Develop and fine-tune Generative AI models (eg, LLMs, diffusion models, VAEs) using platforms like Hugging Face, LangChain, or OpenAI.
  • Conduct data collection, cleaning, and pre-processing for model readiness.
  • Train, test, and optimize models to improve accuracy and performance.
  • Work closely with cross-functional teams to deploy AI models in production environments.
  • Perform data exploration, visualization, and feature selection
  • Stay up-to-date with the latest trends in AI/ML and experiment with new approaches.
  • Design and implement Multi-Agent Systems (MAS) for distributed intelligence, autonomous collaboration, or decision-making.
  • Integrate and orchestrate agentic workflows using tools like Agno, CrewAI or LangGraph.
  • Ensure scalability and efficiency of deployed solutions.
  • Monitor model performance and perform necessary updates or retraining.

Requirements:

  • Strong programming skills in Python and experience with libraries like Tensor Flow, PyTorch, Scikit-learn, and Keras.
  • Experience working with vector databases (Pinecone, Weaviate, Chroma) for RAG systems.
  • Good understanding of machine learning concepts, including classification, regression, clustering, and deep learning.
  • Knowledge of knowledge graphs, semantic search, or symbolic reasoning.
  • Proficiency in working with tools such as Pandas, NumPy, and data visualization libraries.
  • Hands-on experience deploying models using REST APIs with frameworks like Flask or FastAPI.
  • Familiarity with cloud platforms (AWS, Google Cloud, or Azure) for ML deployment.
  • Knowledge of version control systems like Git.
  • Experience with Natural Language Processing (NLP), computer vision, or predictive analytics.
  • Exposure to MLOps tools and workflows (eg, MLflow, Kubeflow, Airflow).
  • Basic familiarity with big data frameworks like Apache Spark or Hadoop.
  • Understanding of data pipelines and ETL processes.

What we offer:

  • Opportunity to work on live projects and client interactions.
  • A vibrant and learning-driven work culture.
  • 5 days a week Flexible work timings.
About Company
Techify is the Fastest Growing Tech Company with a talented, passionate and learning team. Techifys DNA Is About Solutions Technologies. We are here to help our customers grow their business.
Our Vision is to Become One of the Best Product Engineering companies in India We put client relationships first hence our mission is to build software solutions that help clients transform their business by unleashing hidden potential with technology.
So our success mantra is Customer first, Team second and We are the third.
Our main focus is our Customers and Partners success. Our visionary and experienced team turns innovative ideas into efficient products softwares. Our well-defined processes ensure on-time delivery to our partners giving us an edge over our competitors. The most important pillar in achieving our goals is our dedicated Team and to encourage them and keep them motivated, we have set up a culture that rewards Self Development and Innovation.
Our cutting-edge services include intensive research and analysis to identify the appropriate technology to achieve best performances by incurring least cost possible. We take a studied approach towards cost, performance, feature trade-offs to help companies surmount the challenges of delivering high-quality, timely products and services to the marketplace. We have the ability to take up any product be it at the stage of defining, designing, verifying or realizing.

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